A very “Yamnaya-like” East Bell Beaker from France, probably R1b-L151

bell-beaker-expansion

Interesting report by Bernard Sécher on Anthrogenica, about the Ph.D. thesis of Samantha Brunel from Institut Jacques Monod, Paris, Paléogénomique des dynamiques des populations humaines sur le territoire Français entre 7000 et 2000 (2018).

NOTE. You can visit Bernard Sécher’s blog on genetic genealogy.

A summary from user Jool, who was there, translated into English by Sécher (slight changes to translation, and emphasis mine):

They have a good hundred samples from the North, Alsace and the Mediterranean coast, from the Mesolithic to the Iron Age.

There is no major surprise compared to the rest of Europe. On the PCA plot, the Mesolithic are with the WHG, the early Neolithics with the first farmers close to the Anatolians. Then there is a small resurgence of hunter-gatherers that moves the Middle Neolithics a little closer to the WHGs.

From the Bronze Age, they have 5 samples with autosomal DNA, all in Bell Beaker archaeological context, which are very spread on the PCA. A sample very high, close to the Yamnaya, a little above the Corded Ware, two samples right in the Central European Bell Beakers, a fairly low just above the Neolithic package, and one last full in the package. The most salient point was that the Y chromosomes of their 12 Bronze Age samples (all Bell Beakers) are all R1b, whereas there was no R1b in the Neolithic samples.

Finally they have samples of the Iron Age that are collected on the PCA plot close to the Bronze Age samples. They could not determine if there is continuity with the Bronze Age, or a partial replacement by a genetically close population.

PCA-caucasus-yamna
Image modified from Wang et al. (2018). Samples projected in PCA of 84 modern-day West Eurasian populations (open symbols). Previously known clusters have been marked and referenced. Marked and labelled are interesting samples; In red, likely position of late Yamna Hungary / early East Bell Beakers An EHG and a Caucasus ‘clouds’ have been drawn, leaving Pontic-Caspian steppe and derived groups between them. See the original file here. To understand the drawn potential Caucasus Mesolithic cluster, see above the PCA from Lazaridis et al. (2018).

The sample with likely high “steppe ancestry“, clustering closely to Yamna (more than Corded Ware samples) is then probably an early East Bell Beaker individual, probably from Alsace, or maybe close to the Rhine Delta in the north, rather than from the south, since we already have samples from southern France from Olalde et al. (2018) with high Neolithic ancestry, and samples from the Rhine with elevated steppe ancestry, but not that much.

This specific sample, if confirmed as one of those reported as R1b (then likely R1b-L151), as it seems from the wording of the summary, is key because it would finally link Yamna to East Bell Beaker through Yamna Hungary, all of them very “Yamnaya-like”, and therefore R1b-L151 (hence also R1b-L51) directly to the steppe, and not only to the Carpathian Basin (that is, until we have samples from late Repin or West Yamna…)

NOTE. The only alternative explanation for such elevated steppe ancestry would be an admixture between a ‘less Yamnaya-like’ East Bell Beaker + a Central European Corded Ware sample like the Esperstedt outlier + drift, but I don’t think that alternative is the best explanation of its position in the PCA closer to Yamna in any of the infinite parallel universes, so… Also, the sample from Esperstedt is clearly a late outlier likely influenced by Yamna vanguard settlers from Hungary, not the other way round…

Unexpectedly, then, fully Yamnaya-like individuals are found not only in Yamna Hungary ca. 3000-2500 BC, but also among expanding East Bell Beakers later than 2500 BC. This leaves us with unexplained, not-at-all-Yamnaya-like early Corded Ware samples from ca. 2900 BC on. An explanation based on admixture with locals seems unlikely, seeing how Corded Ware peoples continue a north Pontic cluster, being thus different from Yamna and their ancestors since the Neolithic; and how they remained that way for a long time, up to Sintashta, Srubna, Andronovo, and even later samples… A different, non-Indo-European community it is, then.

olalde_pca2
Image modified from Olalde et al. (2018). PCA of 999 Eurasian individuals. Marked is the Espersted Outlier with the approximate position of Yamna Hungary, probably the source of its admixture. Different Bell Beaker clines have been drawn, to represent approximate source of expansions from Central European sources into the different regions. In red, likely zone of Yamna Hungary and reported early East Bell Beaker individual from France.

Let’s wait and see the Ph.D. thesis, when it’s published, and keep observing in the meantime the absurd reactions of denial, anger, bargaining, and depression (stages of grief) among BBC/R1b=Vasconic and CWC/R1a=Indo-European fans, as if they had lost something (?). Maybe one of these reactions is actually the key to changing reality and going back to the 2000s, who knows…

Featured image: initial expansion of the East Bell Beaker Group, by Volker Heyd (2013).

Related

Genetic landscape and past admixture of modern Slovenians

slovenes-snp

Open access Genetic Landscape of Slovenians: Past Admixture and Natural Selection Pattern, by Maisano Delser et al. Front. Genet. (2018).

Interesting excerpts (emphasis mine):

Samples

Overall, 96 samples ranging from Slovenian littoral to Lower Styria were genotyped for 713,599 markers using the OmniExpress 24-V1 BeadChips (Figure 1), genetic data were obtained from Esko et al. (2013). After removing related individuals, 92 samples were left. The Slovenian dataset has been subsequently merged with the Human Origin dataset (Lazaridis et al., 2016) for a total of 2163 individuals.

Y chromosome

First, Y chromosome genetic diversity was assessed. A total of 52 Y chromosomes were analyzed for 195 SNPs. The majority of individuals (25, 48.1%) belong to the haplogroup R1a1a1a (R-M417) while the second major haplogroup is represented by R1b (R-M343) including 15 individuals (28.8%). Twelve samples are assigned to haplogroup I (I M170): five and two samples belong to haplogroup I2a (I L460) and I1 (I M253), respectively, while the remaining five samples did not have enough information to be further assigned.

pca-slovenes
PCA of Slovenian samples with European populations (Slovenian_HO_EU dataset). For details regarding the populations included, see Supplementary Table 1.

PCA

Considering the unbalanced sample size of the Slovenian population compared to the other populations included in the dataset, a subset of 20 Slovenian individuals randomly sampled was used.

All Slovenian samples group together with Hungarians, Czechs, and some Croatians (“Central-Eastern European” cluster) as also suggested by the PCA. All Basque individuals with few French and Spanish cluster together (“Basque” cluster) while a “Northern-European” cluster is made of the majority of French, English, Icelanders, Norwegians, and Orcadians. Five populations contributed to the “Eastern-European” cluster including Belarusians, Estonians, Lithuanians, Mordovians, and Russians. Western and South Europe is split into two cluster: the first (“Western European” cluster) includes all Spanish individuals, few French, and some Italians (North Italy) while the second (“Southern-European” cluster) groups Sicilians, Greeks, some Croatians, Romanians, and some Italians (North Italy).

Admixture Pattern and Migration

admixture-slovenians
Modified image, from the paper (Central-East Europeans marked). Unsupervised admixture analysis of Slovenians. Results for K = 5 are showed as it represents the lowest cross-validation error. Slovenian samples show an admixture pattern similar to the neighboring populations such as Croatians and Hungarians. The major ancestral components are: the blue one which is shared with Lithuanians and Russians, followed by the dark green one that is mostly present in Greek samples and the light blue which characterizes Orcadians and English. For population acronyms see Supplementary Table 1.

All Slovenian individuals share common pattern of genetic ancestry, as revealed by ADMIXTURE analysis. The three major ancestry components are the North East and North West European ones (light blue and dark blue, respectively, Figure 3), followed by a South European one (dark green, Figure 3). Contribution from the Sardinians and Basque are present in negligible amount. The admixture pattern of Slovenians mimics the one suggested by the neighboring Eastern European populations, but it is different from the pattern suggested by North Italian populations even though they are geographically close.

Using ALDER, the most significant admixture event was obtained with Russians and Sardinians as source populations and it happened 135 ± 9.31 generations ago (Z-score = 11.54). (…) When tested for multiple admixture events (MALDER), we obtained evidence for one admixture event 165.391 ± 17.1918 generations ago corresponding to ∼2620 BCE (CI: 3101–2139) considering a generation time of 28 years (Figure 4), with Kalmyk and Sardinians as sources.

We then modeled the Slovenian population as target of admixture of ancient individuals from Haak et al. (2015) while computing the f3(Ancient 1, Ancient 2, Slovenian) statistic. The most significant signal was obtained with Yamnaya and HungaryGamba_EN (Z-score = -10.66), followed by MA1 with LBK_EN (Z-score -9.7) and Yamnaya with Stuttgart (Z-score = -8.6) used as possible source populations (Supplementary Figure 5).

We found a significant signal of admixture by using both pairs as ancient sources. Specifically, for the pair Yamnaya and Hungary_EN the admixture event is dated at 134.38 ± 23.69 generations ago (Z-score = 5.26, p-value of 1.5e-07) while for Yamnaya and LBK_EN at 153.65 ± 22.19 generations ago (Z-score = 6.92, p-value 4.4e-12). Outgroup f3 with Yamnaya put Slovenian population close to Hungarians, Czechs, and English, indicating a similar shared drift between these population with the Steppe populations (Supplementary Figure 6).

admixture-events-slovenes
Admixture events identified with ALDER and MALDER. The gray dots represent significant admixture events detected with ALDER using Slovenians as target, the solid line represents the single admixture event detected using MALDER, dashed lines represent the confidence interval. Only the significant results after multiple testing correction are plotted. For ALDER results see Supplementary Table 5.

Not that any of this would come as a surprise, but:

  • R1a-M458 and some R1a-Z280 (xR1a-Z92) lineages (found among Slovenes) were associated with the Slavic expansion, likely with the Prague-Korchak culture, originally stemming probably from peoples of the Lusatian culture. Other R1a-Z280 lineages remained associated with Uralic peoples, and some became Slavicized only recently.
  • PCA keeps supporting the common cluster of certain West, South, and East Slavs in a “Central-Eastern European” cluster, distinct from the “North-Eastern European” cluster formed by modern Finno-Ugrians, as well as ancient Finno-Ugrians of north-eastern Europe who were only recently Slavicized.
  • Admixture supports the same ancient ‘western’ (a core West+South+East Slavic) cluster, and the admixture event with Yamna + Hungary_EN is logically a proxy for Yamna Hungary being at the core of ancestral Central-East population movements related to Bell Beakers in the mid- to late 3rd millennium.

The theory that East Slavs are at the core of the Slavic expansion makes no sense, in terms of archaeology (see Florin Curta’s dismissal of those recent eastern ‘Slavic’ finds, his commentary on 19th century Pan-Slavic crap, or his book on Slavic migrations), in terms of ancient DNA (the earliest Slavs sampled cluster with modern West Slavs, distant from the steppe cluster, unlike Finno-Ugrians), or in terms of modern DNA.

I don’t know where exactly this impulse for the theory of Russia being the cradle of Slavs comes from today (although there are some obvious political trends to revive 19th c. ideas), but it was always clear for everyone, including Russians, that East Slavs had migrated to the east and north and assimilated indigenous Finno-Ugrians, apart from Turkic-, Iranian-, and Caucasian-speaking peoples to the east. Genetics is only confirming what was clear from other disciplines long ago.

Related

Corded Ware—Uralic (IV): Hg R1a and N in Finno-Ugric and Samoyedic expansions

haplogroup-uralians

This is the fourth of four posts on the Corded Ware—Uralic identification:

Let me begin this final post on the Corded Ware—Uralic connection with an assertion that should be obvious to everyone involved in ethnolinguistic identification of prehistoric populations but, for one reason or another, is usually forgotten. In the words of David Reich, in Who We Are and How We Got Here (2018):

Human history is full of dead ends, and we should not expect the people who lived in any one place in the past to be the direct ancestors of those who live there today.

Haplogroup N

Another recurrent argument – apart from “Siberian ancestry” – for the location of the Uralic homeland is “haplogroup N”. This is as serious as saying “haplogroup R1” to refer to Indo-European migrations, but let’s explore this possibility anyway:

Ancient haplogroups

We have now a better idea of how many ancient migrations (previously hypothesized to be associated with westward Uralic migrations) look like in genetic terms. From Damgaard et al. (Science 2018):

These serial changes in the Baikal populations are reflected in Y-chromosome lineages (Fig. SA; figs. S24 to S27, and tables S13 and SI4). MAI carries the R haplogroup, whereas the majority of Baikal_EN males belong to N lineages, which were widely distributed across Northern Eurasia (29), and the Baikal_LNBA males all carry Q haplogroups, as do most of the Okunevo_EMBA as well as some present-day Central Asians and Siberians.

The only N1c1 sample comes from Ust’Ida Late Neolithic, 180km to the north of Lake Baikal, which – together with the Bronze Age sample from the Kola peninsula, and the medieval sample from Ust’Ida – gives a good idea of the overall expansion of N subclades and Siberian ancestry among the Circum-Arctic peoples of Eurasia, speakers of Palaeo-Siberian languages.

eurasian-n-subclades
Geographical location of ancient samples belonging to major clade N of the Y-chromosome.

Modern haplogroups

What we should expect from Uralic peoples expanding with haplogroup N – seeing how Yamna expands with R1b-L23, and Corded Ware expands with R1a-Z645 – is to find a common subclade spreading with Uralic populations. Let’s see if it works like that for any N-X subclade, in data from Ilumäe et al. (2016):

haplogroup_n1
Geographic-Distribution Map of hg N3 / N1c / N1a.

Within the Eurasian circum-Arctic spread zone, N3 and N2a reveal a well-structured spread pattern where individual sub-clades show very different distributions:

N1a1-M46 (or N-TAT), formed ca. 13900 BC, TMRCA 9800 BC

   N1a1a2-B187, formed ca. 9800 BC, TMRCA 1050 AD:

The sub-clade N3b-B187 is specific to southern Siberia and Mongolia, whereas N3a-L708 is spread widely in other regions of northern Eurasia.

     N1a1a1a-L708, formed ca. 6800 BC, TMRCA 5400 BC.

       N1a1a1a2-B211/Y9022, formed ca. 5400 BC, TMRCA 1900 BC:

The deepest clade within N3a is N3a1-B211, mostly present in the Volga-Uralic region and western Siberian Khanty and Mansi populations.

         N1a1a1a1a-L392/L1026), formed ca. 4400 BC, TMRCA 2800 BC:

The neighbor clade, N3a3’6-CTS6967, spreads from eastern Siberia to the eastern part of Fennoscandia and the Baltic States

haplogroup_n3a3
Frequency-Distribution Maps of Individual Subclade N3a3 / N1a1a1a1a1a-CTS2929/VL29, probably initially with Akozino warrior-traders.

           N1a1a1a1a1a-CTS2929/VL29, formed ca. 2100 BC, TMRCA 1600 BC:

In Europe, the clade N3a3-VL29 encompasses over a third of the present-day male Estonians, Latvians, and Lithuanians but is also present among Saami, Karelians, and Finns (Table S2 and Figure 3). Among the Slavic-speaking Belarusians, Ukrainians, and Russians, about three-fourths of their hg N3 Y chromosomes belong to hg N3a3.

In the post on Finno-Permic expansions, I depicted what seems to me the most likely way of infiltration of N1c-L392 lineages with Akozino warrior-traders into the western Finno-Ugric populations, with an origin around the Barents sea.

This includes the potential spread of (a minority of) N1c-B211 subclades due to contacts with Anonino on both sides of the Urals, through a northern route of forest and forest-steppe regions (equivalent to the distribution of Cherkaskul compared to Andronovo), given the spread of certain subclades in Ugric populations.

NOTE. An alternative possibility is the association of certain B211 subclades with a southern route of expansion with Pre-Scythian and Scythian populations, under whose influence the Ananino culture emerged -which would imply a very quick infiltration of certain groups of haplogroup N everywhere among Finno-Ugrics on both sides of the Urals – , and also the expansion of some subclades with Turkic-speaking peoples, who apparently expanded with alliances of different peoples. Both (Scythian and Turkic) populations expanded from East Asia, where haplogroup N (including N1c) was present since the Neolithic. I find this a worse model of expansion for upper clades, but – given the YFull estimates and the presence of this haplogroup among Turkic peoples – it is a possibility for many subclades.

           N1a1a1a1a2-Z1936, formed ca. 2800 BC, TMRCA 2400 BC:

The only notable exception from the pattern are Russians from northern regions of European Russia, where, in turn, about two-thirds of the hg N3 Y chromosomes belong to the hg N3a4-Z1936—the second west Eurasian clade. Thus, according to the frequency distribution of this clade, these Northern Russians fit better among other non-Slavic populations from northeastern Europe. N3a4 tends to increase in frequency toward the northeastern European regions but is also somewhat unexpectedly a dominant hg N3 lineage among most Turcic-speaking Volga Tatars and South-Ural Bashkirs.

haplogroup_n3a4
Frequency-Distribution Maps of Individual Subclade N3a4 / N1a1a1a1a2-Z1936, probably with the Samic (first) and Fennic (later) expansions into Paleo-Lakelandic and Palaeo-Laplandic territories.

The expansion of N1a-Z1936 in Fennoscandia is most likely associated with the expansion of Saami into asbestos ware-related territory (like the Lovozero culture) during the Late Iron Age – and mixture with its population – , and with the later Fennic expansion to the east and north, replacing their language.

           N1a1a1a1a4-M2019 (previously N3a2), formed ca. 4400 BC, TMRCA 1700 BC:

Sub-hg N3a2-M2118 is one of the two main bifurcating branches in the nested cladistic structure of N3a2’6-M2110. It is predominantly found in populations inhabiting present-day Yakutia (Republic of Sakha) in central Siberia and at lower frequencies in the Khanty and Mansi populations, which exhibit a distinct Y-STR pattern (Table S7) potentially intrinsic to an additional clade inside the sub-hg N3a2

The second widespread sub-clade of hg N is N2a. (…):

   N1a2b-P43 (B523/FGC10846/Y3184), formed ca. 6800 BC, TMRCA ca. 2700 BC:

The absolute majority of N2a individuals belong to the second sub-clade, N2a1-B523, which diversified about 4.7 kya (95% CI = 4.0–5.5 kya). Its distribution covers the western and southern parts of Siberia, the Taimyr Peninsula, and the Volga-Uralic region with frequencies ranging from from 10% to 30% and does not extend to eastern Siberia (…)

haplogroup_n2
Geographic-Distribution Map of hg N2a1 / N1a2b-P43

The “European” branch suggested earlier from Y-STR patterns turned out to consist of two clades

     N1a2b2a-Y3185/FGC10847, formed ca. 2200 BC, TMRCA 800 BC:

N2a1-L1419, spread mainly in the northern part of that region.

     N1a2b2b1-B528/Y24382, formed ca. 900 BC, TMRCA ca. 900 BC:

N2a1-B528, spread in the southern Volga-Uralic region.

Haplogroup R1a

We also have a good idea of the distribution of haplogroup R1a-Z645 in ancient samples. Its subclades were associated with the Corded Ware expansion, and some of them fit quite well the early expansion of Finno-Permic, Ugric, and Samoyedic peoples to the east.

r1a-z282-z280-z2125-distribution
Modified image, from Underhill et al. (2015). Spatial frequency distributions of Z282 (green) and Z93 (blue) affiliated haplogroups.. Notice the potential Finno-Ugric-associated distribution of Z282 (especially R1a-M558, a Z280 subclade), the expansion of R1a-Z2123 subclades with Central Asian forest-steppe groups.

This is how the modern distribution of R1a among Uralians looks like, from the latest report in Tambets et al. (2018):

  • Among Fennic populations, Estonians and Karelians (ca. 1.1 million) have not suffered the greatest bottleneck of Finns (ca. 6-7 million), and show thus a greater proportion of R1a-Z280 than N1c subclades, which points to the original situation of Fennic peoples before their expansion. To trust Finnish Y-DNA to derive conclusions about the Uralic populations is as useful as relying on the Basque Y-DNA for the language spread by R1b-P312
  • Among Volga-Finnic populations, Mordovians (the closest to the original Uralic cluster, see above) show a majority of R1a lineages (27%).
  • Hungarians (ca. 13-15 million) represent the majority of Ugric (and Finno-Ugric) peoples. They are mainly R1a-Z280, also R1a-Z2123, have little N1c, and lack Siberian ancestry, and represent thus the most likely original situation of Ugric peoples in 4th century AD (read more on Avars and Hungarians).
  • Among Samoyedic peoples, the Selkup, the southernmost ones and latest to expand – that is, those not heavily admixed with Siberian populations – , also have a majority of R1a-Z2123 lineages (see also here for the original Samoyedic haplogroups to the south).

To understand the relevance of Hungarians for Ugric peoples, as well as Estonians, Karelians, and Mordovians (and northern Russians, Finno-Ugric peoples recently Russified) for Finno-Permic peoples, as opposed to the Circum-Arctic and East Siberian populations, one has to put demographics in perspective. Even a modern map can show the relevance of certain territories in the past:

population-density
Population density (people per km2) map of the world in 1994. From Wikipedia.

Summary of ancestry + haplogroups

Fennic and Samic populations seem to be clearly influenced by Palaeo-Laplandic peoples, whereas Volga-Finnic and especially Permic populations may have received gene flow from both, but essentially Palaeo-Siberian influence from the north and east.

The fact that modern Mansis and Khantys offer the highest variation in N1a subclades, and some of the highest “Siberian ancestry” among non-Nganasans, should have raised a red flag long ago. The fact that Hungarians – supposedly stemming from a source population similar to Mansis – do not offer the same amount of N subclades or Siberian ancestry (not even close), and offer instead more R1a, in common with Estonians (among Finno-Samic peoples) and Mordvins (among Volga-Finnic peoples) should have raised a still bigger red flag. The fact that Nganasans – the model for Siberian ancestry – show completely different N1a2b-P43 lineages should have been a huge genetic red line (on top of the anthropological one) to regard them as the Uralian-type population.

We know now that ethnolinguistic groups have usually expanded with massive (usually male-biased) migrations, and that neighbouring locals often ‘resurge’ later without changing the language. That is seen in Europe after the spread of Bell Beakers, with the increase of previous ancestry and lineages in Scandinavia during the formation of the Nordic ethnolinguistic community; in Central-West Europe, with the resurgence of Neolithic ancestry (and lineages) during the Bronze Age over steppe ancestry; and in Central-East Europe (with Unetice or East European Bronze Age groups like Mierzanowice, Trzciniec, or Lusatian) showing an increase in steppe ancestry (and resurge of R1a subclades); none of them represented a radical ethnolinguistic change.

finno-ugric-haplogroup-n
Map of archaeological cultures in north-eastern Europe ca. 8th-3rd centuries BC. [The Mid-Volga Akozino group not depicted] Shaded area represents the Ananino cultural-historical society. Fading purple arrows represent likely stepped movements of subclades of haplogroup N for centuries (e.g. Siberian → Ananino → Akozino → Fennoscandia [N-VL29]; Circum-Arctic → forest-steppe [N1, N2]; etc.). Blue arrows represent eventual expansions of Uralic peoples to the north. Modified image from Vasilyev (2002).

It is not hard to model the stepped arrival, infiltration, and/or resurge of N subclades and “Siberian ancestries”, as well as their gradual expansion in certain regions, associated with certain migrations first – such as the expansions to the Circum-Arctic region, and later the Scythian- and Turkic-related movements – , as well as limited regional developments, like the known bottleneck in Finns, or the clear late expansion of Ugric and Samoyedic languages to the north among nomadic Palaeo-Siberians due to traditions of exogamy and multilingualism. This fits quite well with the different arrival of N (N1c and xN1c) lineages to the different Uralic-speaking groups, and to the stepped appearance of “Siberian ancestry” in the different regions.

The aternative

It is evident that a lot of people were too attached to the idea of Palaeolithic R1b lineages ‘native’ to western Europe speaking Basque languages; of R1a lineages speaking Indo-European and spreading with Yamna; and N lineages ‘native’ to north-eastern Europe and speaking Uralic, and this is causing widespread weeping and gnashing of teeth (instead of the joy of discovering where one’s true patrilineal ancestors come from, and what language they spoke in each given period, which is the supposed objective of genetic genealogy…)

Since an Indo-Germanic branch (as revived now by some in the Copenhaguen group to fit Kristiansen’s theory of the 1980s with recent genetic data) does not make any sense in linguistics, the finding of R1a in Yamna would not have led where some think it would have, because North-West Indo-European would still be the main Late PIE branch in Europe. Don’t take my word for it; take James P. Mallory’s (2013).

mallory-adams-tree
The levels of Indo-European reconstruction, from Mallory & Adams (2006).

If an (unlikely) Indo-Slavonic group were posited, though, such a group would still be bound (with Indo-Iranian) to the steppes with East Yamna/Poltavka (admixing with Abashevo migrants, but retaining its language), developing Sintashta/Potapovka → Srubna/Andronovo, and R1a lineages would have equally undergone the known bottlenecks of the steppes where they replaced R1b-Z2103 – which this eastern group shares with Balkan languages, a haplogroup that links therefore together the Graeco-Aryan group.

As far as I know – and there might be many other similar pet theories out there – there have been proposals of “modern Balto-Slavic-like” populations (in an obvious circular reasoning based on modern populations) in some Scythian clusters of the Iron Age.

NOTE. I will not enter into “Balto-Slavic-like R1a” of the Late Bronze Age or earlier because no one can seriously believe at this point of development of Population Genetics that autosomal similarity predating 1,500+ years the appearance of Slavs equates to their (ethnolinguistic) ancestral population, without a clear intermediate cultural and genetic trail – something we lack today in the Slavic case even for the late Roman period…

finno-saamic-palaeo-germanic-substratum
The Finnic and Saamic separation looks shallower than it actually is. Invisible convergence can be ‘triangulated’ with the help of Germanic layers of mutual loanwords (Häkkinen 2012).

We also know of R1a-Z280 lineages in Srubna, probably expanding to the west. With that in mind, and knowing that Palaeo-Germanic was in close contact with Finno-Samic while both were already separated but still in contact, and that Palaeo-Germanic was also in contact and closely related to a ‘Temematic’ distinct from Balto-Slavic (and also that early Proto-Baltic and Proto-Slavic from the Roman Iron Age and later were in contact with western Uralic) this will be the linguistic map of the Iron Age if R1a is considered to expand Indo-European from some kind of “patron-client” relationship with west Yamna:

palaeo-germanic-italo-celtic
Eastern European language map during the Late Bronze Age / Iron Age, if R1a spread Indo-European languages and Eastern Yamna spoke Indo-Slavonic. Palaeo-Germanic (i.e. Pre- to Proto-Germanic) needs to be in contact with both the Samic Lovozero population and the Fennic west Circum-Arctic one. Italic and Celtic in contact with Pre-Germanic. Germanic in contact with Temematic. Balto-Slavic in contact with Iranian, and near Fennic to allow for later loanwords. For Germanic and Temematic, see Kortlandt (2018).

You might think I have some personal or political reason against this kind of proposals. I haven’t. We have been proposing Indo-European to be the language of the European Union for more than 10 years, so to support R1b-Italo-Celtic in the whole Western Europe, R1a-Germanic in Central and Eastern Europe, and R1a-Indo-Slavonic in the steppes (as the Danish group seems to be doing) has nothing inherently bad (or good) for me. If anything, it gives more reason to support the revival of North-West Indo-European in Europe.

My problem with this proposal is that it is obviously beholden to the notion of the uninterrupted cultural, historic and ethnic continuity in certain territories. This bias is common in historiography (von Falkenhausen 1993), but it extends even more easily into the lesser known prehistory of any territory, and now more than ever some people feel the need to corrupt (pre)history based on their own haplogroups (or the majority haplogroups of their modern countries). However, more than on philosophical grounds, my rejection is based on facts: this picture is not what the combination of linguistic, archaeological, and genetic data shows. Period.

Nevertheless, if Yamna + Corded Ware represented the “big and early expansion” of Germanic and Italo-Celtic peoples proper of the dream Nazi’s Lebensraum and Fascist’s spazio vitale proposals; Uralians were Siberian hunter-gatherers that controlled the whole eastern and northern Russia, and miraculously managed to push (ethnolinguistically) Neolithic agropastoralists to the west during and after the Iron Age, with gradual (and often minimal) genetic impact; and Balto-Slavic peoples were represented by horse riders from Pokrovka/Srubna, hiding then somewhere around the forest-steppe until after the Scythian expansion, and then spreading their language (without much genetic impact) during the early Middle Ages…so be it.

Related

Corded Ware—Uralic (III): “Siberian ancestry” and Ugric-Samoyedic expansions

siberian-ancestry-tambets

This is the third of four posts on the Corded Ware—Uralic identification. See

An Eastern Uralic group?

Even though proposals of an Eastern Uralic (or Ugro-Samoyedic) group are in the minority – and those who support it tend to search for an origin of Uralic in Central Asia – , there is nothing wrong in supporting this from the point of view of a western homeland, because the eastward migration of both Proto-Ugric and Pre-Samoyedic peoples may have been coupled with each other at an early stage. It’s like Indo-Slavonic: it just doesn’t fit the linguistic data as well as the alternative, i.e. the expansion of Samoyedic first, different from a Finno-Ugric trunk. But, in case you are wondering about this possibility, here is Häkkinen’s (2012) phonological argument:

ugro-samoyedic-uralic

The case of Samoyedic is quite similar to that of Hungarian, although the earliest Palaeo-Siberian contact languages have been lost. There were contacts at least with Tocharian (Kallio 2004), Yukaghir (Rédei 1999) and Turkic (Janhunen 1998). Samoyedic also:

a) has moved far from the related languages and has been exposed to strong foreign influence

b) shares a small number of common words with other branches (from Sammallahti 1988: only 123 ‘Uralic’ words, versus 390 ‘Uralic’ + ‘Finno-Ugric’ words found in other branches than Samoyedic = 31,5 %)

c) derives phonologically from the East Uralic dialect.

The phonological level is taxonomically more reliable, since it lacks the distortion caused by invisible convergence and false divergence at the lexical level. Thus we can conclude that the traditional taxonomic model, according to which Samoyedic was the first branch to split off from the Proto-Uralic unity, is just as incorrect as the view that Hungarian was the first branch to split off.

Seima-Turbino

Late Uralic can be traced back to metallurgical cultures thanks to terms like PU *wäśka ‘copper/bronze’ (borrowed from Proto-Samoyedic *wesä into Tocharian); PU *äsa and *olna/*olni, ‘lead’ or ‘tin’, found in *äsa-wäśka ‘tin-bronze’; and e.g. *weŋći ‘knife’, borrowed into Indo-Iranian (through the stage of vocalization of nasals), appearing later as Proto-Indo-Aryan *wāćī ‘knife, awl, axe’.

It is known that the southern regions of the Abashevo culture developed Proto-Indo-Iranian-speaking Sintashta-Petrovka and Pokrovka (Early Srubna). To the north, however, Abashevo kept its Uralic nature, with continuous contacts allowing for the spread of lexicon – mainly into Finno-Ugric – , and phonetic influence – mainly Uralisms into Proto-Indo-Iranian phonology (read more here).

The northern part of Abashevo (just like the south) was mainly a metallurgical society, with Abashevo metal prospectors found also side by side with Sintashta pioneers in the Zeravshan Valley, near BMAC, in search of metal ores. About the Seima-Turbino phenomenon, from Parpola (2013):

From the Urals to the east, the chain of cultures associated with this network consisted principally of the following: the Abashevo culture (extending from the Upper Don to the Mid- and South Trans-Urals, including the important cemeteries of Sejma and Turbino), the Sintashta culture (in the southeast Urals), the Petrovka culture (in the Tobol-Ishim steppe), the Taskovo-Loginovo cultures (on the Mid- and Lower Tobol and the Mid-Irtysh), the Samus’ culture (on the Upper Ob, with the important cemetery of Rostovka), the Krotovo culture (from the forest steppe of the Mid-Irtysh to the Baraba steppe on the Upper Ob, with the important cemetery of Sopka 2), the Elunino culture (on the Upper Ob just west of the Altai mountains) and the Okunevo culture (on the Mid-Yenissei, in the Minusinsk plain, Khakassia and northern Tuva). The Okunevo culture belongs wholly to the Early Bronze Age (c. 2250–1900 BCE), but most of the other cultures apparently to its latter part, being currently dated to the pre-Andronovo horizon of c. 2100–1800 BCE (cf. Parzinger 2006: 244–312 and 336; Koryakova & Epimakhov 2007: 104–105).

post-eneolithic-steppe-asia
Schematic map of the Middle Bronze Age cultures (steppe and foreststeppe
zone)

The majority of the Sejma-Turbino objects are of the better quality tin-bronze, and while tin is absent in the Urals, the Altai and Sayan mountains are an important source of both copper and tin. Tin is also available in southern Central Asia. Chernykh & Kuz’minykh have accordingly suggested an eastern origin for the Sejma-Turbino network, backing this hypothesis also by the depiction on the Sejma-Turbino knives of mountain sheep and horses characteristic of that area. However, Christian Carpelan has emphasized that the local Afanas’evo and Okunevo metallurgy of the Sayan-Altai area was initially rather primitive, and could not possibly have achieved the advanced and difficult technology of casting socketed spearheads as one piece around a blank. Carpelan points out that the first spearheads of this type appear in the Middle Bronze Age Caucasia c. 2000 BCE, diffusing early on to the Mid-Volga-Kama-southern Urals area, where “it was the experienced Abashevo craftsmen who were able to take up the new techniques and develop and distribute new types of spearheads” (Carpelan & Parpola 2001: 106, cf. 99–106, 110). The animal argument is countered by reference to a dagger from Sejma on the Oka river depicting an elk’s head, with earlier north European prototypes (Carpelan & Parpola 2001: 106–109). Also the metal analysis speaks for the Abashevo origin of the Sejma-Turbino network. Out of 353 artefacts analyzed, 47% were of tin-bronze, 36% of arsenical bronze, and 8.5% of pure copper. Both the arsenical bronze and pure copper are very clearly associated with the Abashevo metallurgy.

seima-turbino-phenomenon-parpola
Find spots of artefacts distributed by the Sejma-Turbino intercultural trader network, and the areas of the most important participating cultures: Abashevo, Sintashta, Petrovka. Based on Chernykh 2007: 77.

The Abashevo metal production was based on the Volga-Kama-Belaya area sandstone ores of pure copper and on the more easterly Urals deposits of arsenical copper (Figure 9). The Abashevo people, expanding from the Don and Mid-Volga to the Urals, first reached the westerly sandstone deposits of pure copper in the Volga and Kama basins, and started developing their metallurgy in this area, before moving on to the eastern side of the Urals to produce harder weapons and tools of arsenical copper. Eventually they moved even further south, to the area richest in copper in the whole Urals region, founding there the very strong and innovative Sintashta culture.

Regarding the most likely expansion of Eastern Uralic peoples:

Nataliya L’vovna Chlenova (1929–2009; cf. Korenyako & Ku’zminykh 2011) published in 1981 a detailed study of the Cherkaskul’ pottery. In her carefully prepared maps of 1981 and 1984 (Figure 10), she plotted Cherkaskul’ monuments not only in Bashkiria and the Trans-Urals, but also in thick concentrations on the Upper Irtysh, Upper Ob and Upper Yenissei, close to the Altai and Sayan mountains, precisely where the best experts suppose the homeland of Proto-Samoyed to be.

cherkaskul-andronovo
Distribution of Srubnaya (Timber Grave, early and late), Andronovo (Alakul’ and Fëdorovo variants) and Cherkaskul’ monuments. After Parpola 1994: 146, fig. 8.15, based on the work of N. L. Chlenova (1984: map facing page 100).

Ugric

The Cherkaskul’ culture was transformed into the genetically related Mezhovka culture (c. 1500–1000 BCE), which occupied approximately the same area from the Mid-Kama and Belaya rivers to the Tobol river in western Siberia (cf. Parzinger 2006: 444–448; Koryakova & Epimakhov 2007: 170–175). The Mezhovka culture was in close contact with the neighbouring and probably Proto-Iranian speaking Alekseevka alias Sargary culture (c. 1500–900 BCE) of northern Kazakhstan (Figure 4 no. 8) that had a Fëdorovo and Cherkaskul’ substratum and a roller pottery superstratum (cf. Parzinger 2006: 443–448; Koryakova & Epimakhov 2007: 161–170). Both the Cherkaskul’ and the Mezhovka cultures are thought to have been Proto-Ugric linguistically, on the basis of the agreement of their area with that of Mansi and Khanty speakers, who moreover in their Fëdorovo-like ornamentation have preserved evidence of continuity in material culture (cf. Chlenova 1984; Koryakova & Epimakhov 2007: 159, 175).

mezhovska-sargary-irmen
Cultures of the Final Bronze Age of the Urals and western Siberia (steppe
and forest-steppe zone).

The Mezhovka culture was succeeded by the genetically related Gamayun culture (c. 1000–700 BCE) (cf. Parzinger 2006: 446; 542–545).

From the Gamayun culture descend Trans-Urals cultures in close contact with Finno-Permic populations of the Cis-Ural region:

  • [Proto-Mansi] Itkul’ culture (c. 700–200 BCE) distributed along the eastern slope of the Ural Mountains (cf. Parzinger 2006: 552–556). Known from its walled forts, it constituted the principal Trans-Uralian centre of metallurgy in the Iron Age, and was in contact with both the Anan’ino and Akhmylovo cultures (the metallurgical centres of the Mid-Volga and Kama-Belaya region) and the neighbouring Gorokhovo culture.
    • [Proto-Hungarian] via the Vorob’evo Group (c. 700–550 BCE) (cf. Parzinger 2006: 546–549), to the Gorokhovo culture (c. 550–400 BCE) of the Trans-Uralian forest steppe (cf. Parzinger 2006: 549–552). For various reasons the local Gorokhovo people started mobile pastoral herding and became part of the multicomponent pastoralist Sargat culture (c. 500 BCE to 300 CE), which in a broader sense comprized all cultural groups between the Tobol and Irtysh rivers, succeeding here the Sargary culture. The Sargat intercommunity was dominated by steppe nomads belonging to the Iranian-speaking Saka confederation, who in the summer migrated northwards to the forest steppe
  • [Proto-Khanty] Late Bronze Age and Early Iron Age cultures related to the Gamayunskoe and Itkul’ cultures that extended up to the Ob: the Nosilovo, Baitovo, Late Irmen’, and Krasnoozero cultures (c. 900–500 BCE). Some were in contact with the Akhmylovo on the Mid-Volga.
sargat-gorokhovo-bolscherechye
Cultural groups of the Iron Age in the forest-steppe zone of western
Siberia. (

Samoyedic

Parpola (2012) connects the expansion of Samoyedic with the Cherkaskul variant of Andronovo. As we know, Andronovo was genetically diverse, which speaks in favour of different groups developing similar material cultures in Central Asia.

Juha Janhunen, author of the etymological dictionary of the Samoyed languages (1977), places the homeland of Proto-Samoyedic in the Minusinsk basin on the Upper Yenissei (cf. Janhunen 2009: 72). Mainly on the basis of Bulghar Turkic loanwords, Janhunen (2007: 224; 2009: 63) dates Proto-Samoyedic to the last centuries BCE. Janhunen thinks that the language of the Tagar culture (c. 800–100 BCE) ought to have been Proto-Samoyedic (cf. Janhunen 1983: 117– 118; 2009: 72; Parzinger 2001: 80 and 2006: 619–631 dates the Tagar culture c. 1000–200 BCE; Svyatko et al. 2009: 256, based on human bone samples, c. 900 BCE to 50 CE). The Tagar culture largely continues the traditions of the Karasuk culture (c. 1400–900 BCE), (…)

chicha-irmen-tagar-baraba-forest-siberian
Map showing the location of Chicha-1.

For the most recent expansions of Samoyedic languages to the north, into Palaeo-Siberian populations, read more about the traditional multilingualism of Siberian populations.

Genetics

Siberian ancestry

The use of a map of “Siberian ancestry” peaking in the arctic to show a supposedly late Uralic population movement (starting in the Iron Age!) seems to be the latest trend in population genomics:

siberian-ancestry-map
Frequency map of the so-called ‘Siberian’ component. From Tambets et al. (2018) (see below for ADMIXTURE in specific populations).

I guess that would make this map of Neolithic farmer ancestry represent an expansion of Indo-European from the south, because Anatolia, Greece, Italy, southern France, and Iberia – where this ancestry peaks in modern populations – are among the oldest territories where Indo-European languages were recorded:

reich-farmer-ancestry
Modern genome-wide data shows that the primary gradient of farmer ancestry in Europe does not flow southeast-to-northwest but instead in an almost perpendicular direction, a result of a major migration of pastoralists from the east that displaced much of the ancestry of the first farmers.

Probably not the right interpretation of this kind of simplistic data about modern populations, though…

The most striking thing about the “Siberian ancestry” white whale is that nobody really knows what it is; just like we did not know what “Yamnaya ancestry” was, until the most recent data is making the picture clearer. Its nature is changing with each new paper, and it can be summed up by “some ancestry we want to find that is common to Uralic-speaking peoples, and should not be CWC-related”. Tambets et al. (2018) explain quite well how they “found it”:

Overall, and specifically at lower values of K, the genetic makeup of Uralic speakers resembles that of their geographic neighbours. The Saami and (a subset of) the Mansi serve as exceptions to that pattern being more similar to geographically more distant populations (Fig. 3a, Additional file 3: S3). However, starting from K = 9, ADMIXTURE identifies a genetic component (k9, magenta in Fig. 3a, Additional file 3: S3), which is predominantly, although not exclusively, found in Uralic speakers. This component is also well visible on K = 10, which has the best cross-validation index among all tests (Additional file 3: S3B). The spatial distribution of this component (Fig. 3b) shows a frequency peak among Ob-Ugric and Samoyed speakers as well as among neighbouring Kets (Fig. 3a). The proportion of k9 decreases rapidly from West Siberia towards east, south and west, constituting on average 40% of the genetic ancestry of FU speakers in Volga-Ural region (VUR) and 20% in their Turkic-speaking neighbours (Bashkirs, Tatars, Chuvashes; Fig. 3a).

siberian-ancestry-modern
Population structure of Uralic-speaking populations inferred from ADMIXTURE analysis on autosomal SNPs in Eurasian context. Individual ancestry estimates for populations of interest for selected number of assumed ancestral populations (K3, K6, K9, K11). Ancestry components discussed in a main text (k2, k3, k5, k6, k9, k11) are indicated and have the same colours throughout. The names of the Uralic-speaking populations are indicated with blue (Finno-Ugric) or orange (Samoyedic). Image from Tambets et al. (2018).

However, this ‘something’ that some people occasionally find in some Uralic populations is also common to other modern and ancient groups, and not so common in some other Uralic peoples. Simply put:

siberian-ancestry-modern-populations
Image modified from Lamnidis et al. (2018). Red line representing maximum “Siberian admixture” in Eastern European hunter-gatherers. In blue, Uralic-speaking groups. “Plot of ADMIXTURE (K=3) results containing West Eurasian populations and the Nganasan. Ancient individuals from this study are represented by thicker bars.”

I already said this in the recent publication of Siberian samples, where a renamed and radiocarbon dated Finnish_IA clearly shows that Late Iron Age Saami (ca. 400 AD) had little “Siberian ancestry”, if any at all, representing the most likely Fennic (and Samic) ancestral components before their expansion into central and northern Finland, where they admixed with circum-polar peoples of asbestos ware cultures.

I will say that again and again, any time they report the so-called “Siberian ancestry” in Uralic samples, no matter how it is defined each time: it does not seem to be that special something people are looking for, but rather (at least in a great part) a quite old ancestral component forming an evident cline with EHG, whose best proximate source are Baikal_EN (and/or Devil’s Gate) at this moment, and thus also East European hunter-gatherers for Western Uralic peoples:

dzudzuana-baikal-en-admixture
Image modified from Lazaridis et al. (2018). In red: samples with Baikal_EN ancestry in speculative estimates. In pink: samples with Baikal_EN ancestry in conservative estimates (probably marking a recent arrival of Baikal_En ancestry, see here). Modeling present-day and ancient West-Eurasians. Mixture proportions computed with qpAdm (Supplementary Information section 4). The proportion of ‘Mbuti’ ancestry represents the total of ‘Deep’ ancestry from lineages that split prior to the split of Ust’Ishim, Tianyuan, and West Eurasians and can include both ‘Basal Eurasian’ and other (e.g., Sub-Saharan African) ancestry. (Left) ‘Conservative’ estimates. Each population 367 cannot be modeled with fewer admixture events than shown. (Right) ‘Speculative’ estimates. The highest number of sources (≤5) with admixture estimates within [0,1] are shown for each population. Some of the admixture proportions are not significantly different from 0 (Supplementary Information section 4).

So either Samara_HG, Karelia_HG, and many other groups from eastern Europe all spoke Uralic according to this ADMIXTURE graphic (and the formation of steppe ancestry in the Volga-Ural region brought the Proto-Indo-European language to the steppes through the CHG/ANE expansion), or a great part of this “Siberian ancestry” found in modern Uralic-speaking populations is not what some people would like to think it is…

Modern populations

PCA clines can be looked for to represent expansions of ancient populations. Most recently, Flegontov et al. (2018) are attempting to do this with Asian populations:

For some Turkic groups in the Urals and the Altai regions and in the Volga basin, a different admixture model fits the data: the same West Eurasian source + Uralic- or Yeniseian-speaking Siberians. Thus, we have revealed an admixture cline between Scythians and the Iranian farmer genetic cluster, and two further clines connecting the former cline to distinct ancestry sources in Siberia. Interestingly, few Wusun-period individuals harbor substantial Uralic/Yeniseian-related Siberian ancestry, in contrast to preceding Scythians and later Turkic groups characterized by the Tungusic/Mongolic-related ancestry. It remains to be elucidated whether this genetic influx reflects contacts with the Xiongnu confederacy. We are currently assembling a collection of samples across the Eurasian steppe for a detailed genetic investigation of the Hunnic confederacies.

jeong-population-clines
Three distinct East/West Eurasian clines across the continent with some interesting linguistic correlates, as earlier reported by Jeong et al. (2018). Alexander M. Kim.

There are potential errors with this approach:

The main one is practical – does a modern cline represent an ancestral language? The answer is: sometimes. It depends on the anthropological context that we have, and especially on the precision of the PCA:

clines-himalayan
Genetic structure of the Himalayan region populations from analyses using unlinked SNPs. (A) PCA of the Himalayan and HGDP-CEPH populations. Each dot represents a sample, coded by region as indicated. The Himalayan region samples lie between the HGDP-CEPH East Asian and South Asian samples on the right-hand side of the plot. From Arciero et al. (2018).

The ‘Europe’, ‘Middle East’, etc. clines of the above PCA do not represent one language, but many. For starters, the PCA includes too many (and modern) populations, its precision is useless for ethnolinguistic groups. Which is the right level? Again, it depends.

The other error is one of detail of the clines drawn (which, in turn, depends on the precision of the PCA). For example, we can draw two paralell lines (or even one line, as in Flegontov et al. above) in one PCA graphic, but we still don’t have the direction of expansion. How do we know if this supposed “Uralic-speaking cline” goes from one region to the other? For that level of detail, we should examine closely modern Uralic-speaking peoples and Circum-Arctic populations:

uralic-cline
Modified from Tambets et al. (2018). Principal component analysis (PCA) and genetic distances of Uralic-speaking populations. a PCA (PC1 vs PC2) of the Uralic-speaking populations

The real ancient Uralic cluster (drawn above in blue) is thus probably from a North-East European source (probably formed by Battle Axe / Fatyanovo-Balanovo / Abashevo) to the east into Siberian populations, and to the north into Laplandic populations (see below also on Mezhovska ancestry for the drawn ‘European cline’, which some may a priori wrongly assume to be quite late).

The fact that the three formed clines point to an admixture of CWC-related populations from North-Eastern Europe, and that variation is greater at the Palaeo-Laplandic and Palaeo-Siberian extremities compared to the CWC-related one, also supports this as the correct interpretation.

However, judging by the two main clines formed, one could be alternatively inclined to interpret that Palaeo-Laplandic and Palaeo-Siberian populations formed a huge ancestral “Uralic” ghost cluster in Siberia (spanning from the Palaeo-Laplandic to the Palaeo-Siberian one), and from there expanded Finno-Samic on one hand, and “Volga-Ugro-Samoyed” on the other. That poses different problems: an obvious linguistic and archaeological one – which I assume a lot of people do not really care about – , and a not-so-obvious genetic one (see below for ancient samples and for the expansion of haplogroup N).

To understand the simplest solution better, one can just have a look at the PCA from Bell Beaker samples in Olalde et al. (2018), which (as Reich has already explained many times) expanded directly from Yamna R1b-L23 lineages:

olalde_pca_clines
Image modified from Olalde et al. (2018). PCA of 999 Eurasian individuals. Marked is the Espersted Outlier with the approximate position of Yamna Hungary, probably the source of its admixture. Different Bell Beaker clines have been drawn, to represent approximate source of expansions from Central European sources into the different regions.

Unlike this PCA with ancient samples, where Bell Beaker clines could be a rough approximation to the real sources for each population, and where a cluster spanning all three depicted Early Bronze Age clusters could give a rough proximate source of European Bell Beakers in Hungary (and where one can even distinguish the Y-DNA bottlenecks in the L23 trunk created by each cline) the PCA of modern Uralic populations is probably not suitable for a good estimate of the ancient situation, which may be found shifted up or down of the drawn “Uralic” cluster along East European groups.

After all, we already know that the Siberian cline shows probably as much an ancient admixture event – from the original Uralic expansion to the east with Corded Ware ancestry – as another more recent one – a westward migration of Siberian ancestry (or even more than one). While we know with more or less exactitude what happened with the Palaeo-Laplandic admixture by expanding Proto-Finno-Samic populations (see here), the Proto-Ugric and Pre-Samoyedic populations formed probably more than one cline during the different ancient migrations through central Asia.

Ancient populations

Apparently, the Corded Ware expansion to the east was not marked by a huge change in ancestry. While the final version of Narasimhan et al. (2018) may show a little more detail about other forest-steppe Seima-Turbino/Andronovo-related migrations (and thus also Eastern Uralic peoples), we have already had enough information for quite some time to get a good idea.

mezhovska-pca
Principal component analysis. PCA of ancient individuals (according colours see legend) projected on modern West Eurasians (grey). Iron Age Scythians are shown in black; CHG, Caucasus hunter-gatherer; LNBA, late Neolithic/Bronze Age; MN, middle Neolithic; EHG, eastern European huntergatherer; LBK_EN, early Neolithic Linearbandkeramik; HG, hunter-gatherer; EBA, early Bronze Age; IA, Iron Age; LBA, late Bronze Age; WHG, western hunter-gatherer.dataset (grey). Iron Age Scythians are shown in black; CHG, Caucasus hunter-gatherer; LNBA, late Neolithic/Bronze Age; MN, middle Neolithic; EHG, eastern European hunter-gatherer; LBK_EN, early Neolithic Linearbandkeramik; HG, hunter-gatherer; EBA, early Bronze Age; IA, Iron Age; LBA, late Bronze Age; WHG, western hunter-gatherer.

Mezhovska‘s position is similar to the later Pre-Scythian and Scythian populations. There are some interesting details: apart from haplogroup R1a-Z280 (CTS1211+), there is one R1b-M269 (PF6494+), probably Z2103, and an outlier (out of three) in a similar position to the recently described central/southern Scythian clusters.

NOTE. The finding of R1b-M269 in the forest-steppe is probably either 1) from an Afanasevo-Okunevo origin, or 2) from an admixture with neighbouring Andronovo-related populations, such as Sargary. A third, maybe less likely option is that this haplogroup admixed with Abashevo directly (as it happened in Sintashta, Potapovka, or Pokrovka) and formed part of early Uralic migrations. In any case, since Mezhovska is a Bronze Age society from the Urals region, its association with R1b-Z2103 – like the association of R1b-Z2103 in Scythian clusters – cannot be attributed to “Thracian peoples”, a link which is (as I already said) too simplistic.

The drawn “European cline” of Hungarians (see above), leading from ‘west-like’ Mansi to Hungarian populations – and hosting also Finnic and Estonian samples – , cannot therefore be attributed simply to late “Slavic/Balkan-like” admixture.

Karasuk – located further to the east – is basically also Corded Ware peoples showing clearly a recent admixture with local ANE / Baikal_EN-like populations. In terms of haplogroups it shows haplogroup Q, R1a-Z2124, and R1a-Z2123, later found among early Hungarians, and present also in ancient Samoyedic populations now acculturated.

The most interesting aspect of both Mezhovska and Karasuk is that they seem to diverge from a point close to Ukraine_Eneolithic, which is the supposed ancestral source of Corded Ware peoples (read more about the formation of “steppe ancestry”). This means that Eastern Uralians derive from a source closer to Middle Dnieper/Abashevo populations, rather than Battle Axe (shifted to Latvian Neolithic), which is more likely the source prevalent in Finno-Permic peoples.

Their initial admixture with (Palaeo-)Siberian populations is thus seen already starting by this time in Mezhovska and especially in Karasuk, but this process (compared to modern populations) is incomplete:

f4-test-karasuk-mezhovska
Visualization of f-statistics results. f4(Test, LBK; Han, Mbuti) values are plotted on x axis and f4(Test, LBK; EHG, Mbuti) values on y axis, positive deviations from zero show deviations from a clade between Test and LBK. A red dashed line is drawn between Yamnaya from Samara and Ami. Iron Age populations that can be modelled as mixtures of Yamnaya and East Eurasians (like the Ami) are arrayed around this line and appear to be distinct from the main North/South European cline (blue) on the left of the x axis.
karasuk-mezhovska-admixture
ADMIXTURE results for ancient populations. Red arrows point to the Iron Age Scythian individuals studied. LBK_EN: Early Neolithic Linearbandkeramik; EHG: Eastern European hunter-gatherer; Motala_HG: hunter-gatherer from Motala (Sweden); WHG: western hunter-gatherer; CHG: Caucasus hunter-gatherer; IA: Iron Age; EBA: Early Bronze Age; LBA: Late Bronze Age.

We know now that Samic peoples expanded during the Late Iron Age into Palaeo-Laplandic populations, admixing with them and creating this modern cline. Finns expanded later to the north (in one of their known genetic bottlenecks), admixing with (and displacing) the Saami in Finland, especially replacing their male lines.

So how did Ugric and Samoyedic peoples admix with Palaeo-Siberian populations further, to obtain their modern cline? The answer is, logically, with East Asian migrations related to forest-steppe populations of Central Asia after the Mezhovska and Karasuk periods, i.e. during the Iron Age and later. Other groups from the forest-steppe in Central Asia show similar East Asian (“Siberian”) admixture. We know this from Narasimhan et al. (2018):

(…) we observe samples from multiple sites dated to 1700-1500 BCE (Maitan, Kairan, Oy_Dzhaylau and Zevakinsikiy) that derive up to ~25% of their ancestry from a source related to present-day East Asians and the remainder from Steppe_MLBA. A similar ancestry profile became widespread in the region by the Late Bronze Age, as documented by our time transect from Zevakinsikiy and samples from many sites dating to 1500-1000 BCE, and was ubiquitous by the Scytho-Sarmatian period in the Iron Age.

We already have some information about these later migrations:

siberian-genetic-component-chronology
Very important observation with implication of population turnover is that pre-Turkic Inner Eurasian populations’ Siberian ancestry appears predominantly “Uralic-Yeniseian” in contrast to later dominance of “Tungusic-Mongolic” sort (which does sporadically occur earlier). Alexander M. Kim

The Ugric-speaking Sargat culture in Western Siberia shows the expected mixture of haplogroups (ca. 500 BC – 500 AD), with 5 samples of hg N and 2 of hg R1a1, in Pilipenko et al. (2017). Although radiocarbon dates and subclades are lacking, N lineages probably spread late, because of the late and gradual admixture of Siberian cultures into the Sargat melting pot.

The Samoyedic-speaking Tagar culture also shows signs of a genetic turnover in Pilipenko et al. (2018):

The observed reduction in the genetic distance between the Middle Tagar population and other Scythian like populations of Southern Siberia(Fig 5; S4 Table), in our opinion, is primarily associated with an increase in the role of East Eurasian mtDNA lineages in the gene pool (up to nearly half of the gene pool) and a substantial increase in the joint frequency of haplogroups C and D (from 8.7% in the Early Tagar series to 37.5% in the Middle Tagar series). These features are characteristic of many ancient and modern populations of Southern Siberia and adjacent regions of Central Asia, including the Pazyryk population of the Altai Mountains.

Before the Iron Age, the Karasuk and Mezhovska population were probably already somehow ‘to the north’ within the ancient Steppe-Altai cline (see image below9 created by expanding Seima-Turbino- and Andronovo-related populations. During the Iron Age, further Siberian contributions with Iranian expansions must have placed Uralians of the Central Asian forest-steppe areas much closer to today’s Palaeo-Siberian cline.

However, the modern genetic picture was probably fully developed only in historic times, when Samoyedic and Ugric languages expanded to the north, only in part admixing further with Palaeo-Siberian-speaking nomads from the Circum-Arctic region (see here for a recent history of Samoyedic Enets), which justifies their more recent radical ‘northern shift’.

east-uralic-clines
Modified image from Jeong et al. (2018), supplementary materials. The first two PCs summarizing the genetic structure within 2,077 Eurasian individuals. The two PCs generally mirror geography. PC1 separates western and eastern Eurasian populations, with many inner Eurasians in the middle. PC2 separates eastern Eurasians along the north-south cline and also separates Europeans from West Asians. Ancient individuals (color-filled shapes), including two Botai individuals, are projected onto PCs calculated from present-day individuals.

This late acquisition of the language by Palaeo-Siberian nomads (without much population replacement) also justifies the wide PCA clusters of very small Siberian populations. See for example in the PCA from Tambets et al. (2018):

uralic-ugric-samoyedic-modern-clines
Approximate Ugric and Samoyedic clines (exluding apparent outliers). Modified from Tambets et al. (2018). Principal component analysis (PCA) and genetic distances of Uralic-speaking populations. a PCA (PC1 vs PC2) of the Uralic-speaking populations

For their relationship with modern Mansi, we have information on Hungarian conqueror populations from Neparáczki et al. (2018):

Moreover, Y, B and N1a1a1a1a Hg-s have not been detected in Finno-Ugric populations [80–84], implying that the east Eurasian component of the Conquerors and Finno-Ugric people are probably not directly related. The same inference can be drawn from phylogenetic data, as only two Mansi samples appeared in our phylogenetic trees on the side branches (S1 Fig, Networks; 1, 4) suggesting that ancestors of the Mansis separated from Asian ancestors of the Conquerors a long time ago. This inference is also supported by genomic Admixture analysis of Siberian and Northeastern European populations [85], which revealed that Mansis received their eastern Siberian genetic component approximately 5–7 thousand years ago from ancestors of modern Even and Evenki people. Most likely the same explanation applies to the Y-chromosome N-Tat marker which originated from China [86,87] and its subclades are now widespread between various language groups of North Asia and Eastern Europe [88].

The genetic picture of Hungarians (their formed cline with Mansi and their haplogroups) may be quite useful for the true admixture found originally in Mansi peoples at the beginning of the Iron Age. By now it is clear even from modern populations that Steppe_MLBA ancestry accompanied the Uralic expansion to the east (roughly approximated in the graphic with Afanasievo_EBA + Bichon_LP EasternHG_M):

siberian-population-expansions
Admixture modelling using qpAdm. Maps showing locations and ancestry proportions of ancient (left) and modern (right) groups. From Sikora et al. (2018).

Continue reading the final post of the series: Corded Ware—Uralic (IV): Haplogroups R1a and N in Finno-Ugric and Samoyedic.

Related

  • The traditional multilingualism of Siberian populations
  • Iron Age bottleneck of the Proto-Fennic population in Estonia
  • Y-DNA haplogroups of Tuvinian tribes show little effect of the Mongol expansion
  • Corded Ware—Uralic (I): Differences and similarities with Yamna
  • Haplogroup R1a and CWC ancestry predominate in Fennic, Ugric, and Samoyedic groups
  • The Iron Age expansion of Southern Siberian groups and ancestry with Scythians
  • Evolution of Steppe, Neolithic, and Siberian ancestry in Eurasia (ISBA 8, 19th Sep)
  • Mitogenomes from Avar nomadic elite show Inner Asian origin
  • On the origin and spread of haplogroup R1a-Z645 from eastern Europe
  • Oldest N1c1a1a-L392 samples and Siberian ancestry in Bronze Age Fennoscandia
  • Consequences of Damgaard et al. 2018 (III): Proto-Finno-Ugric & Proto-Indo-Iranian in the North Caspian region
  • The concept of “Outlier” in Human Ancestry (III): Late Neolithic samples from the Baltic region and origins of the Corded Ware culture
  • Genetic prehistory of the Baltic Sea region and Y-DNA: Corded Ware and R1a-Z645, Bronze Age and N1c
  • More evidence on the recent arrival of haplogroup N and gradual replacement of R1a lineages in North-Eastern Europe
  • Another hint at the role of Corded Ware peoples in spreading Uralic languages into north-eastern Europe, found in mtDNA analysis of the Finnish population
  • New Ukraine Eneolithic sample from late Sredni Stog, near homeland of the Corded Ware culture
  • Dzudzuana, Sidelkino, and the Caucasus contribution to the Pontic-Caspian steppe

    hunter-gatherer-pottery

    It has been known for a long time that the Caucasus must have hosted many (at least partially) isolated populations, probably helped by geographical boundaries, setting it apart from open Eurasian areas.

    David Reich writes in his book the following about India:

    The genetic data told a clear story. Around a third of Indian groups experienced population bottlenecks as strong or stronger than the ones that occurred among Finns or Ashkenazi Jews. We later confirmed this finding in an even larger dataset that we collected working with Thangaraj: genetic data from more than 250 jati groups spread throughout India (…)

    Rather than an invention of colonialism as Dirks suggested, long-term endogamy as embodied in India today in the institution of caste has been overwhelmingly important for millennia. (…)

    The Han Chinese are truly a large population. They have been mixing freely for thousands of years. In contrast, there are few if any Indian groups that are demographically very large, and the degree of genetic differentiation among Indian jati groups living side by side in the same village is typically two to three times higher than the genetic differentiation between northern and southern Europeans. The truth is that India is composed of a large number of small populations.

    There is little doubt now, based on findings spanning thousands of years, that the Mesolithic and Neolithic Caucasus hosted various very small populations, even if the ancestral components may be reduced to the few known to date (such as ANE, EHG, AME*, ENA, CHG, and other “deep” ancestral components).

    NOTE. I will call the ancestral component of Dzudzuana/Anatolian hunter-gatherers Ancient Middle Easterner (AME), to give a clear idea of its likely extension during the Late Upper Palaeolithic, and to avoid using the more simplistic Dzudzuana, unless it is useful to mention these specific local samples.

    dzudzuana-pca
    Image modified from Lazaridis et al. (2018), including Caucasus, Don-Volga-Ural, and North Pontic Mesolithic-Neolithic populations. “Ancient West Eurasian population structure. (a) Geographical distribution of key ancient West Eurasian populations. (b) Temporal distribution of key ancient West Eurasian populations (approximate date in ky BP). (c) PCA of key ancient West Eurasians, including additional populations (shown with grey shells), in the space of outgroup f4-statistics (Methods).”

    Genetic labs have a strong fixation with ancestry. I guess the use of complex statistical methods gives professionals and laymen alike the feeling of dealing with “Science”, as opposed to academic fields where you have to interpret data. I think language reveals a lot about the way people think, and the fact that ancestral components are called ‘lineages’ – while not wrong per se – is a clear symptom of the lack of interest in the true lineages: Y-DNA haplogroups.

    Y-DNA bottlenecks

    It has become quite clear that male-biased migrations are often the ones which can be confidently followed for actual population movements and ethnolinguistic identification, at least until the Iron Age. The frequently used Palaeolithic clusters offer a clear example of why ancestry does not represent what some people believe: They merely give a basic idea of sizeable population replacements by distant peoples.

    Both concepts are important: sizeable and distant peoples. For example, during the Upper Palaeolithic in Europe there was a sizeable population replacement of the Aurignacian Goyet cluster by the Gravettian Vestonice cluster (probably from populations of far eastern Russia) coupled with the arrival of haplogroup I, although during the thousands of years that this material culture lasted, the previously expanded C1a2 lineages did not disappear, and there were probably different resurgence and admixture events.

    Haplogroup I certainly expanded with the Gravettian culture to Iberia, where the Goyet ancestry did not change much – probably because of male-driven migrations -, to the extent that during the Magdalenian expansions haplogroup I expanded with an ancestry closer to Goyet, in what is called a ‘resurge’ of the Goyet cluster – even though there is a clear replacement of male lines.

    The Villabruna (WHG) cluster is another good example. It probably spread with haplogroup R1b-L754, which – based on the extra ‘East Asian’ affinity of some samples and on modern samples from the Middle East – came probably from the east through a southern route, and not too long before the expansion of WHG likely from around the Black Sea, although this is still unclear. The finding of haplogroup I in samples of mostly WHG ancestry could confuse people that do not care about timing, sub-structured populations, and gene flow.

    palaeolithic-expansions-reich
    Image from David Reich’s Who We Are and How We Got Here. Having migrated out of Africa and the Near East, modern human pioneer populations spread throughout Eurasia (1). By at least thirty-nine thousand years ago, one group founded a lineage of European hunter-gatherers that persisted largely uninterrupted for more than twenty thousand years (2). Eventually, groups derived from an eastern branch of this founding population of European huntergatherers spread west (3), displaced previous groups, and were eventually themselves pushed out of northern Europe by the spread of glacial ice, shown at its maximum extent (top right). As the glaciers receded, western Europe was repeopled from the southwest (4) by a population that had managed to persist for tens of thousands of years and was related to an approximately thirty-five-thousand-year old individual from far western Europe. A later human migration, following the first strong warming period, had an even larger impact, with a spread from the southeast (5) that not only transformed the population of western Europe but also homogenized the populations of Europe and the Near East. At a single site—Goyet Caves in Belgium—ancient DNA from individuals spread over twenty thousand years reflects these transformations, with representatives from the Aurignacian, Gravettian, and Magdalenian periods.

    NOTE. If you don’t understand why ‘clusters’ that span thousands of years don’t really matter for the many Palaeolithic population expansions that certainly happened among hunter-gatherers in Europe, just take a look at what happened with Bell Beakers expanding from Yamna into western Europe within 500 years.

    If we don’t thread carefully when talking about population migrations, these terms are bound to confuse people. Just as the fixation on “steppe ancestry” – which marks the arrival in Chalcolithic Europe of peoples from the Pontic-Caspian region – has confused a lot of researchers to this day.

    When I began to write about the Indo-European demic diffusion model, my concern was to find a single spot where a North-West Indo-European proto-language could have expanded from ca. 2000 BC (our most common guesstimate). Based on the 2015 papers, and in spite of their conclusions, I thought it had become clear that Corded Ware was not it, and it was rather Bell Beakers. I assumed that Uralic was spoken to the north (as was the traditional belief), and thus Corded Ware expanded from the forest zone, hence steppe ancestry would also be found there with other R1a lineages.

    With the publication of Mathieson et al. (2017) and Olalde et al. (2017), I changed my mind, seeing how “steppe ancestry” did in fact appear quite late, hence it was likely to be the result of very specific population movements, probably directly from the Caucasus. Later, Mathieson published in a revision the sample from Alexandria of hg R1a-M417 (probably R1a-Z645, possibly Z93+), which further supported the idea that the migration of Corded Ware peoples started near the North Pontic forest-steppe (as I included in a the next revision).

    The question remains the same I repeated recently, though: where do the extra Caucasus components (i.e. beyond EHG) of Eneolithic Ukraine/Corded Ware and Khvalynsk/Yamna come from?

    Steppe ancestry: “EHG” + “CHG”?

    About EHG ancestry

    From Lazaridis et al. (2018):

    Considering 2-way mixtures, we can model Karelia_HG as deriving 34 ± 2.8% of its ancestry from a Villabruna-related source, with the remainder mainly from ANE represented by the AfontovaGora3 (AG3) sample from Lake Baikal ~17kya.

    AG3 was likely of haplogroup Q1a (as reported by YFull, see Genetiker), and probably the ANE ancestry found in Eastern Europe accompanied a Palaeolithic migration of Q1a2-M25 (formed ca. 22600 BC, TMRCA ca. 14300 BC).

    NOTE. You can read more about the expansion of Q lineages during the Palaeolithic.

    Combined with what we know about the Eneolithic Steppe and Caucasus populations – it is likely that ANE ancestry remained the most important component of some of the small ghost populations of the Caucasus until their emergence with the Lola culture.

    pca-caucasus-dzudzuana
    Image modified from Wang et al. (2018). Samples projected in PCA of 84 modern-day West Eurasian populations (open symbols). Previously known clusters have been marked and referenced. Marked and labelled are the Balkan samples referenced in this text An EHG and a Caucasus ‘clouds’ have been drawn, leaving Pontic-Caspian steppe and derived groups between them. See the original file here. To understand the drawn potential Caucasus Mesolithic cluster, see above the PCA from Lazaridis et al. (2018).

    The first sample we have now attributed to the EHG cluster is Sidelkino, from the Samara region (ca. 9300 BC), mtDNA U5a2. In Damgaard et al. (Science 2018), Yamnaya could be modelled as a CHG population related to Kotias Klde (54%) and the remaining from ANE population related to Sidelkino (>46%), with the following split events:

    1. A split event, where the CHG component of Yamnaya splits from KK1. The model inferred this time at 27 kya (though we note the larger models in Sections S2.12.4 and S2.12.5 inferred a more recent split time).
    2. A split event, where the ANE component of Yamnaya splits from Sidelkino. This was inferred at about about 11 kya.
    3. A split event, where the ANE component of Yamnaya splits from Botai. We inferred this to occur 17 kya. Note that this is above the Sidelkino split time, so our model infers Yamnaya to be more closely related to the EHG Sidelkino, as expected.
    4. An ancestral split event between the CHG and ANE ancestral populations. This was inferred to occur around 40 kya.

    Other samples classified as of the EHG cluster:

    • Popovo2 (ca. 6250 BC) of hg J1, mtDNA U4d – Po2 and Po4 from the same site (ca. 6550 BC) show continuity of mtDNA.
    • Karelia_HG, from Juzhnii Oleni Ostrov (ca. 6300 BC): I0211/UzOO40 (ca. 6300 BC) of hg J1(xJ1a), mtDNA U4a; and I0061/UzOO74 of hg R1a1(xR1a1a), mtDNA C1
    • UzOO77 and UzOO76 from Juzhnii Oleni Ostrov (ca. 5250 BC) of mtDNA R1b.
    • Samara_HG from Lebyanzhinka (ca. 5600 BC) of hg R1b1a, mtDNA U5a1d.

    From the analysis of Lazaridis et al. (2018), we have some details about their admixture:

    dzudzuana-admixture-sidelkino
    Image modified from Lazaridis et al. (2018). Modeling present-day and ancient West-Eurasians. Mixture proportions computed with qpAdm (Supplementary Information section 4). The proportion of ‘Mbuti’ ancestry represents the total of ‘Deep’ ancestry from lineages that split prior to the split of Ust’Ishim, Tianyuan, and West Eurasians and can include both ‘Basal Eurasian’ and other (e.g., Sub-Saharan African) ancestry. (Left) ‘Conservative’ estimates. Each population 367 cannot be modeled with fewer admixture events than shown. (Right) ‘Speculative’ estimates. The highest number of sources (≤5) with admixture estimates within [0,1] are shown for each population. Some of the admixture proportions are not significantly different from 0 (Supplementary Information section 4).

    About Anatolia_Neolithic ancestry

    About the enigmatic Anatolia_Neolithic-related ancestry found in Pontic-Caspian steppe samples, this is what Wang et al. (2018) had to say:

    We focused on model of mixture of proximal sources such as CHG and Anatolian Chalcolithic for all six groups of the Caucasus cluster (Eneolithic Caucasus, Maykop and Late Makyop, Maykop-Novosvobodnaya, Kura-Araxes, and Dolmen LBA), with admixture proportions on a genetic cline of 40-72% Anatolian Chalcolithic related and 28-60% CHG related (Supplementary Table 7). When we explored Romania_EN and Greece_Neolithic individuals as alternative southeast European sources (30-46% and 36-49%), the CHG proportions increased to 54-70% and 51-64%, respectively. We hypothesize that alternative models, replacing the Anatolian Chalcolithic individual with yet unsampled populations from eastern Anatolia, South Caucasus or northern Mesopotamia, would probably also provide a fit to the data from some of the tested Caucasus groups.

    Also:

    The first appearance of ‘Near Eastern farmer related ancestry’ in the steppe zone is evident in Steppe Maykop outliers. However, PCA results also suggest that Yamnaya and later groups of the West Eurasian steppe carry some farmer related ancestry as they are slightly shifted towards ‘European Neolithic groups’ in PC2 (Fig. 2D) compared to Eneolithic steppe. This is not the case for the preceding Eneolithic steppe individuals. The tilting cline is also confirmed by admixture f3-statistics, which provide statistically negative values for AG3 as one source and any Anatolian Neolithic related group as a second source

    yamnaya-caucasus-dzudzuana
    Modified image from Wang et al. (2018). In blue, Yamna-related populations. In red, Corded Ware-related populations, and two elevated Anatolia_Neolithic values in Yamna. Notice how only GAC-related admixture increases the Anatolian_N-related ancestry in the Yamna outlier from Ozero, and the late Yamna sample from Hungary, related to the homogeneous Yamna population. “Supplementary Table 14. P values of rank=3 and admixture proportions in modelling Steppe ancestry populations as a four-way admixture of distal sources EHG, CHG, Anatolian_Neolithic and WHG using 14 outgroups.Left populations: Steppe cluster, EHG, CHG, WHG, Anatolian_Neolithic. Right populations: Mbuti.DG, Ust_Ishim.DG, Kostenki14, MA1, Han.DG, Papuan.DG, Onge.DG, Villabruna, Vestonice16, ElMiron, Ethiopia_4500BP.SG, Karitiana.DG, Natufian, Iran_Ganj_Dareh_Neolithic.”

    Detailed exploration via D-statistics in the form of D(EHG, steppe group; X, Mbuti) and D(Samara_Eneolithic, steppe group; X, Mbuti) show significantly negative D values for most of the steppe groups when X is a member of the Caucasus cluster or one of the Levant/Anatolia farmer-related groups (Supplementary Figs. 5 and 6). In addition, we used f- and D-statistics to explore the shared ancestry with Anatolian Neolithic as well as the reciprocal relationship between Anatolian- and Iranian farmer-related ancestry for all groups of our two main clusters and relevant adjacent regions (Supplementary Fig. 4). Here, we observe an increase in farmer-related ancestry (both Anatolian and Iranian) in our Steppe cluster, ranging from Eneolithic steppe to later groups. In Middle/Late Bronze Age groups especially to the north and east we observe a further increase of Anatolian farmer related ancestry consistent with previous studies of the Poltavka, Andronovo, Srubnaya and Sintashta groups and reflecting a different process not especially related to events in the Caucasus.

    (…) Surprisingly, we found that a minimum of four streams of ancestry is needed to explain all eleven steppe ancestry groups tested, including previously published ones (Fig. 2; Supplementary Table 12). Importantly, our results show a subtle contribution of both Anatolian farmer-related ancestry and WHG-related ancestry (Fig.4; Supplementary Tables 13 and 14), which was likely contributed through Middle and Late Neolithic farming groups from adjacent regions in the West. The discovery of a quite old AME ancestry has rendered this probably unnecessary, because this admixture from an Anatolian-like ghost population could be driven even by small populations from the Caucasus.

    yamna-caucasus-cwc-anatolia-neolithic
    Image modified from Wang et al. (2018). Marked are: in red, approximate limit of Anatolia_Neolithic ancestry found in Yamna populations; in blue, Corded Ware-related groups. “Modelling results for the Steppe and Caucasus 1128 cluster. Admixture proportions based on (temporally and geographically) distal and proximal models, showing additional Anatolian farmer-related ancestry in Steppe groups as well as additional gene flow from the south in some of the Steppe groups as well as the Caucasus groups (see also Supplementary Tables 10, 14 and 20).”

    NOTE. For a detailed account of the possibilities regarding this differential admixture in the North Pontic area in contrast to the Don-Volga-Ural region, you can read the posts Sredni Stog, Proto-Corded Ware, and their “steppe admixture”, and Corded Ware culture origins: The Final Frontier.

    While it is not yet fully clear, the increased Anatolian_Neolithic-like ancestry in Ukraine_Eneolithic samples (see below) makes it unlikely that all such ancestry in Corded Ware groups comes from a GAC-related contribution. It is likely that at least part of it represents contributions from populations of the Caucasus, based on the mostly westward population movements in the steppe from ca. 4600 BC on, including the Suvorovo-Novodanilovka expansion, and especially the Kuban-Maykop expansion during the final Eneolithic into the North Pontic area.

    NOTE. Since CHG-like groups from the Caucasus may have combinations of AME and ANE ancestry similar to Yamna (which may thus appear as ‘steppe ancestry’ in the North Pontic area), it is impossible to interpret with precision the following ADMIXTURE graphic:

    ukraine-whg-ehg-steppe
    Modified image from Mathieson et al. (2018). Supervised ADMIXTURE analysis, modelling each ancient individual (one per row) as a mixture of population clusters constrained to contain northwestern-Anatolian Neolithic (grey), Yamnaya from Samara (yellow), EHG (pink) and WHG (green) populations. Dates in parentheses indicate approximate range of individuals in each population.

    North-Eastern Technocomplex

    The East Asian contribution to samples from the WHG samples (like Loschbour or La Braña), as specified in Fu et al. (2016), does not seem to be related to Baikal_EN, and appears possibly (in the ADMIXTURE analysis) integrated into he Villabruna component. I guess this implies that the shared alleles with East Asians are quite early, and potentially due to the expansion of R1b-L754 from the East.

    It would be interesting to know the specific material culture Sidelkino belonged to – i.e. if it was related to the expansion of the North-Eastern Technocomplex – , and its Y-DNA. The Post-Swiderian expansion into eastern Europe, probably associated with the expansion of R1b-P297 lineages (including R1b-M73, found later in Botai and in Baltic HG) is supposed to have begun during the 11th millennium BC, but migrations to the Urals and beyond are probably concentrated in the 9th millennium, so this sample is possibly slightly early for R1b.

    NOTE. User Rozenfeld at Anthrogenica posted this, which I think is interesting (in case anyone wants to try a Y-SNP call):

    there is something strange with Sidelkino EHG: first, its archaeological context is not described in the supplementary. Second, its sex is not listed in the supplementary tables. Third, after looking for info about this sample, I found that: “Сиделькино-3. Для снятия вопроса о половой принадлежности индивида была проведена генетическая экспертиза, выявившая принадлежность останков мужчине.”(translation: Sidelkino-3. To resolve the question about sex of the remains, the genetic analysis was conducted, which showed that remains belonged to male), source: http://static.iea.ras.ru/books/7487_Traditsii.pdf

    So either they haven’t mentioned his Y-DNA in the paper for some reason, or there are more than one Sidelkino sample and the male one has not yet been published. The coverage of the Sidelkino sample from the paper is 2.9, more than enough to tell Y-DNA haplogroup.

    zaliznyak-post-swiderian
    The map of spreading of Post-Swiderian and Post-Krasnosillian sites in Mesolithic of Eastern Europe in the 8th millennia BC. From Zaliznyak (see here).

    My speculative guess right now about specific population movements in far eastern Europe, based on the few data we have:

    • The expansion of the North-Eastern Technocomplex first around the 9th millennium BC, most likely expanded R1b-P279 ca. 11300 BC, judging by its TMRCA, with both R1b-M73 (TMRCA 5300) and R1b-M269 (TMRCA 4400 BC) info (with extra El Mirón ancestry) back, and thus Eurasiatic.
    • The expansion of haplogroup J1 to the north may have happened before or after the R1b-P279 expansion. Judging by the increase in AG3-related ancestry near Karelia compared to Baltic_HG, it is possible that it expanded just after R1b-P279 (hence possibly J1-Y6304? TMRCA 9700 BC). Its long-lasting presence in the Caucasus is supported by the Satsurblia (ca. 11300 BC) and the Dolmen BA (ca. 1300 BC) samples.
    • The expansion of R1a-M17 ca. 6600 BC is still likely to have happened from the east, based on the R1a-M17 samples found in Baikalic cultures slightly later (ca. 5300 BC). The presence of elevated Baikal_EN ancestry in Karelia HG and in Samara HG, and the finding of R1a-M417 samples in the Forest Zone after the Mesolithic suggests a connection with the expansion of Hunter-Gatherer pottery, from the Elshanka culture in the Samara region northward into the Forset Zone and westward into the North Pontic area.
    • The expansion of R1b-M73 ca. 5300 BC is likely to be associated with the emergence of a group east of the Urals (related to the later Botai culture, and potentially Pre-Yukaghir). Its presence in a Narva sample from Donkalnis (ca. 5200 BC) suggest either an early split and spread of both R1b-P297 lineages (M73 and M269) through Eastern Europe, or maybe a back-migration with hunter-gatherer pottery.
    • R1b-M269 spread successfully ca. 4400 BC (and R1b-L23 ca. 4100 BC, both based on TMRCA), and this successful expansion is probably to be associated with the Khvalynsk-Novodanilovka expansion. We already know that Samara_HG ca. 5600 was R1b1a, so it is likely that R1b-M269 appeared (or ‘resurged’) in the Volga-Ural region shortly after the expansion of R1a-M17, whose expansion through the region may be inferred by the additional AG3 and Baikal_EN ancestry. Interesting from Samara_HG compared to the previous Sidelkino sample is the introduction of more El Mirón-related ancestry, typical of WHG populations (and thus proper of Baltic groups).

    NOTE. The TMRCA dates are obviously gross approximations, because a) the actual rate of mutation is unknown and b) TMRCA estimates are based on the convergence of lineages that survived. The potential finding of R1a-Z645 (possibly Z93+) in Ukraine Eneolithic (ca. 4000 BC), and the potential finding of R1b-L23 in Khvalynsk ca. 4250 BC complicates things further, in terms of dates and origins of any subclade.

    The question thus remains as it was long ago: did R1b-M269 lineages expand (‘return’) from the east, near the Urals, or directly from the north? Were they already near Samara at the same time as the expansion of hunter-gatherer pottery, and were not much affected by it? Or did they ‘resurge’ from populations admixed with Caucasus-related ancestry after the expansion of R1a-M17 with this pottery (since there are different stepped expansions from the Samara region)? We could even ask, did R1a-M17 really expand from the east, i.e. are the dates on Baikalic subclades from Moussa et al. (2016) reliable? Or did R1a-M17 expand from some pockets in the Pontic-Caspian steppe, taking over the expansion of HG pottery at some point?

    hunger-gatherer-pottery
    Early Neolithic cultures in eastern and central Europe: 1–Yelshanian; 2–North Caspian; 3–Rakushechnyj Yar; 4–Surskian; 5–Dnieper-Donetsian; 6– Bug-Dniesterian; 7–Upper Volga; 8–Narvian; 9–Linear Pottery. White arrows: expansion of early farming; black arrows: spread of pottery-making traditions. From Dolukhanov et al. (2009).

    Maglemose-related migrations

    The most interesting aspect from the new paper (regarding Indo-Uralic migrations) is that Ancestral Middle Easterner ancestry will probably be a better proxy for the Anatolia_Neolithic component found in Ukraine Mesolithic to Eneolithic, and possibly also for some of the “more CHG-like” component found among Pontic-Caspian steppe populations, all likely derived from different admixture events with groups from the Caucasus.

    NOTE. Even the supposed gene flow of Neolithic Iranian ancestry into the Caucasus can be put into question, since that means possibly a Dzudzuana-like population with greater “deep ancestry” proportion than the one found in CHG, which may still be found within the Caucasus.

    If it was not clear already that following ‘steppe ancestry’ wherever it appears is a rather lame way of following Indo-European migrations, every single sample from the Caucasus and their admixture with Pontic-Caspian steppe populations will probably show that “steppe ancestry” is in fact formed by a variety of steppe-related ancestral components, impossible to follow coherently with a single population. Exactly what is happening already with the Siberian ancestry.

    If the paper on the Dzudzuana samples has shown something, is that the expansion of an ANE-like population shook the entire Caucasus area up to the Zagros Mountains, creating this ANE – AME cline that are CHG and Iran_N, with further contributions of “deep ancestries” (probably from the south) complicating the picture further.

    If this happens with few known samples, and we know of an ANE-like ghost population in the Caucasus (appearing later in the Lola culture), we can already guess that the often repeated “CHG component” found in Ukraine_Eneolithic and Khvalynsk will not be the same (except the part mediated by the Novodanilovka expansion).

    This ANE-like expansion happened probably in the Late Upper Palaeolithic, and reached Northern Europe probably after the expansion of the Villabruna cluster (ca. 12000 BC), judging by the advance of AG3-like and ENA-like ancestry in later WHG samples.

    The population movements during the Mesolithic and Early Neolithic in the North Pontic area are quite complicated: the extra AME ancestry is probably connected to the admixture with populations from the Caucasus, while the close similarity of Ukraine populations with Scandinavian ones (with an increase in Villabruna ancestry from Mesolithic to Neolithic samples), probably reveal population movements related to the expansion of Maglemose-related groups.

    maglemose-mesolithic
    Etno-cultural situation in Central and Eastern Europe in the Late Mesolithic — Early Neolithic (VI—V Mill. BC) (after Конча 2004: 201, карта 1; made after ideas by L. L. Zaliznyak). Legend: 1 — Maglemose circle in the VII Mill. BC (after Gr. Clark); 2—7 — Mesolithic cultures of the Post-Maglemose tradition, VI Mill. BC (after S. Kozłowsky, L. L. Zaliznyak): 2 — de Leyen-Wartena; 3 — Oldesloe — Godenaa; 4 — Chojnice — Peńki; 5 — Janisłavice; 6 — finds of Janisłavice artefacts outside of the main area; 7 — Donets culture; 8 — directions of the settling of Janisłavice people (after S. Kozłowsky and L. L. Zaliznyak); 9 — the south border of Mesolithic and Early Neolithic cultures of post-Swidrian and post-Arensburgian traditions; 10 — northern border of settlement of the Balkan-Danubian farmers; 11 — Bug- Dniester culture; 12 — Neolithic cultures emerged on the ethno-cultural basis of post-Maglemose: Э — Ertebölle-Ellerbeck, Н — Neman, Д — Dnieper-Donets, М — Mariupol (western variants). From Klein (2017).

    These Maglemose-related groups were probably migrants from the north-west, originally from the Northern European Plains, who occupied the previous Swiderian territory, and then expanded into the North Pontic area. The overwhelming presence of I2a (likely all I2a2a1b1b) lineages in Ukraine Neolithic supports this migration.

    The likely picture of Mesolithic-Neolithic migrations in the North Pontic area right now is then:

    1. Expansion of R1a-M459 from the east ca. 12000 BC – probably coupled with AG3 and also some Baikal_EN ancestry. First sample is I1819 from Vasilievka (ca. 8700 BC), another is from Dereivka ca. 6900 BC.
    2. Expansion of R1b-V88 from the Balkans in the west ca. 9700 BC, based on its TMRCA and also the Balkan hunter-gatherer population overwhemingly of this haplogroup from the 10th millennium until the Neolithic. First sample is I1734 from Vasilievka (ca. 7252 BC), which suggests that it replaced the male population there, based on their similar EHG-like adxmixture (and lack of sizeable WHG increase), and shared mtDNA U5b2, U5a2.
    3. Expansion of I2a-Y5606 probably ca. 6800 based on its TMRCA with Janislawice culture. Supporting this is the increase in WHG contribution to Neolithic samples, including the spread of U4 subclades compared to the previous period.
    4. Expansion of R1a-M17 starting probably ca. 6600 BC in the east (see above).

    NOTE. The first sample of haplogroup I appears in the Mesolithic: I1763 (ca. 8100 BC) of haplogroup I2a1, probably related to an older Upper Palaeolithic expansion.

    janislawice
    Distribution of archeological cultures in the North Pontic Region during the Mesolithic (7th – 6th millennium BCE). Dotted, dashed and solid lines with corresponding arrows indicate alternative models of the spread of the Grebenyky culture groups. (After Bryuako IV., Samojlova TL., Eds, Drevnie kul’tury Severo-­‐Zapadnogo Prichernomor’ya, Odessa: SMIL, 2013.) Nikitin – Ivanova 2017.

    Conclusion

    It is becoming more and more clear with each new paper that – unless the number of very ancient samples increases – the use of Y-chromosome haplogroups remains one of the most important tools for academics; this is especially so in the steppes, in light of the diversity found in populations from the Caucasus. A clear example comes from the Yamna – Corded Ware similarities:

    After the publication of the 2015 papers, it was likely that Yamna expanded with haplogroup R1b-L23, but it has only become crystal clear that Yamna expanded through the steppes into Bell Beakers, now that we have data about the strict genetic homogeneity of the whole Yamna population from west to east (including Afanasevo), in contrast with contemporary Corded Ware peoples which expanded from a different forest-steppe population.

    The presence of haplogroups Q and R1a-M459 (xM17) in Khvalynsk along with a R1b1a sample, which some interpreted as being akin to modern ‘mixed’ populations in the past, is likely to point instead to a period of Khvalynsk-Novodanilovka expansion with R1b-M269, where different small populations from the steppe were being integrated into the common Khvalynsk stock, but where differences are seen in material culture surrounding their burials, as supported by the finding of R1b1 in the Kuban area already in the first half of the 5th millennium. The case would be similar to the early ‘mixed’ Icelandic population.

    Only after the emergence of the Samara culture (in the second half of the 6th millennium BC), with a sample of haplogroup R1b1a, starts then the obvious connection with Early Proto-Indo-Europeans; and only after the appearance of late Sredni Stog and haplogroup R1a-M417 (ca. 4000 BC) is its connection with Uralic also clear. In previous population movements, I think more haplogroups were involved in migrations of small groups, and only some communities among them were eventually successful, expanding to be dominant, creating ever growing cultures during their expansions.

    Indeed, if you think in terms of Uralic and Indo-European just as converging languages, and forget their potential genetic connection, then the genetic + linguistic picture becomes simplified, and the upper frontier of the 6th millennium BC with a division North Pontic (Mariupol) vs. Volga-Ural (Samara) is enough. However, tracing their movements backwards – with cultural expansions from west to east (with the expansion of farming), and earlier east to west (with hunter-gatherer pottery), and still earlier west to east (with the north-eastern technocomplex), offers an interesting way to prove their potential connection to macrofamilies, at least in terms of population movements.

    corded-ware-uralic-qpgraph
    Modified image from Tambets et al. (2018) Proportions of ancestral components in studied European and Siberian populations and the tested qpGraph model. a The qpGraph model fitting the data for the tested populations. Colour codes for the terminal nodes: pink—modern populations (‘Population X’ refers to test population) and yellow—ancient populations (aDNA samples and their pools). Nodes coloured other than pink or yellow are hypothetical intermediate populations. We putatively named nodes which we used as admixture sources using the main recipient among known populations. The colours of intermediate nodes on the qpGraph model match those on the admixture proportions panel. The NeolL (Neolithic Levant) ancestry selected in this qpGraph is likely to correspond (at least in part) to a specific Dzudzuana-like component present in the CHG-like population that admixed in the North Pontic area.

    I am quite convinced right now that it would be possible to connect the expansion of R1b-L754 subclades with a speculative Nostratic (given the R1b-V88 connection with Afroasiatic, and the obvious connection of R1b-L297 with Eurasiatic). Paradoxically, the connection of an Indo-Uralic community in the steppes (after the separation of Yukaghir) with any lineage expansion (R1a-M17, R1b-M269, or even Q, I or J1) seems somehow blurrier than one year ago, possibly just because there are too many open possibilities.

    David Reich says about the admixture with Neanderthals, which he helped discover:

    At the conclusion of the Neanderthal genome project, I am still amazed by the surprises we encountered. Having found the first evidence of interbreeding between Neanderthals and modern humans, I continue to have nightmares that the finding is some kind of mistake. But the data are sternly consistent: the evidence for Neanderthal interbreeding turns out to be everywhere. As we continue to do genetic work, we keep encountering more and more patterns that reflect the extraordinary impact this interbreeding has had on the genomes of people living today.

    I think this is a shared feeling among many of us who have made proposals about anything, to fear that we have made a gross, evident mistake, and constantly look for flaws. However, it seems to me that geneticists are more preoccupied with being wrong in their developed statistical methods, in the theoretical models they are creating, and not so much about errors in the true ancient ethnolinguistic picture human population genetics is (at least in theory) concerned about. Their publications are, after all, constantly associating genetic finds with cultures and (whenever possible) languages, so this aspect of their research should not be taken lightly.

    Seeing how David Anthony or Razib Khan (among many others) have changed their previously preferred migration models as new data was published, and they continue to be respected in their own fields, I guess we can be confident that professionals with integrity are going to accept whatever new picture appears. While I don’t think that genetic finds can change what we can reconstruct with comparative grammar, I am also ready to revise guesstimates and routes of expansion of certain dialects if R1a-Z645 is shown to have accompanied Late Proto-Indo-Europeans during their expansion with Yamna, and later integrated somehow with Corded Ware.

    However, taking into account the obsession of some with an ancestral, uninterrupted R1a—Indo-European association, and the lack of actual political repercussion of Neanderthal admixture, I think the most common nightmare that all genetic researchers should be worried about is to keep inflating this “Yamnaya ancestry”-based hornet’s nest, which has been constantly stirred up for the past two years, by rejecting it – or, rather, specifying it into its true complex nature.

    This succession of corrections and redefinitions, coupled with the distinct Y-DNA bottleneck of each steppe population, will eventually lead to a completely different ethnolinguistic picture of the Pontic-Caspian region during the Eneolithic, which is likely to eventually piss off not only reasonable academics stubbornly attached to the CWC-IE idea, but also a part of those interested in daydreaming about their patrilineal ancestors.

    Sometimes it’s better to just rip off the band-aid once and for all…

    Featured image from The oldest pottery in hunter-gatherer communitiesand models of Neolithisation of Eastern Europe (2015), by Andrey Mazurkevich and Ekaterina Dolbunova.

    Related

    Interesting is today’s post in Ancient DNA Era: Is Male-driven Genetic Replacement always meaning Language-shift?

    Common pitfalls in human genomics and bioinformatics: ADMIXTURE, PCA, and the ‘Yamnaya’ ancestral component

    invasion-from-the-steppe-yamnaya

    Good timing for the publication of two interesting papers, that a lot of people should read very carefully:

    ADMIXTURE

    Open access A tutorial on how not to over-interpret STRUCTURE and ADMIXTURE bar plots, by Daniel J. Lawson, Lucy van Dorp & Daniel Falush, Nature Communications (2018).

    Interesting excerpts (emphasis mine):

    Experienced researchers, particularly those interested in population structure and historical inference, typically present STRUCTURE results alongside other methods that make different modelling assumptions. These include TreeMix, ADMIXTUREGRAPH, fineSTRUCTURE, GLOBETROTTER, f3 and D statistics, amongst many others. These models can be used both to probe whether assumptions of the model are likely to hold and to validate specific features of the results. Each also comes with its own pitfalls and difficulties of interpretation. It is not obvious that any single approach represents a direct replacement as a data summary tool. Here we build more directly on the results of STRUCTURE/ADMIXTURE by developing a new approach, badMIXTURE, to examine which features of the data are poorly fit by the model. Rather than intending to replace more specific or sophisticated analyses, we hope to encourage their use by making the limitations of the initial analysis clearer.

    The default interpretation protocol

    Most researchers are cautious but literal in their interpretation of STRUCTURE and ADMIXTURE results, as caricatured in Fig. 1, as it is difficult to interpret the results at all without making several of these assumptions. Here we use simulated and real data to illustrate how following this protocol can lead to inference of false histories, and how badMIXTURE can be used to examine model fit and avoid common pitfalls.

    admixture-protocol
    A protocol for interpreting admixture estimates, based on the assumption that the model underlying the inference is correct. If these assumptions are not validated, there is substantial danger of over-interpretation. The “Core protocol” describes the assumptions that are made by the admixture model itself (Protocol 1, 3, 4), and inference for estimating K (Protocol 2). The “Algorithm input” protocol describes choices that can further bias results, while the “Interpretation” protocol describes assumptions that can be made in interpreting the output that are not directly supported by model inference

    Discussion

    STRUCTURE and ADMIXTURE are popular because they give the user a broad-brush view of variation in genetic data, while allowing the possibility of zooming down on details about specific individuals or labelled groups. Unfortunately it is rarely the case that sampled data follows a simple history comprising a differentiation phase followed by a mixture phase, as assumed in an ADMIXTURE model and highlighted by case study 1. Naïve inferences based on this model (the Protocol of Fig. 1) can be misleading if sampling strategy or the inferred value of the number of populations K is inappropriate, or if recent bottlenecks or unobserved ancient structure appear in the data. It is therefore useful when interpreting the results obtained from real data to think of STRUCTURE and ADMIXTURE as algorithms that parsimoniously explain variation between individuals rather than as parametric models of divergence and admixture.

    For example, if admixture events or genetic drift affect all members of the sample equally, then there is no variation between individuals for the model to explain. Non-African humans have a few percent Neanderthal ancestry, but this is invisible to STRUCTURE or ADMIXTURE since it does not result in differences in ancestry profiles between individuals. The same reasoning helps to explain why for most data sets—even in species such as humans where mixing is commonplace—each of the K populations is inferred by STRUCTURE/ADMIXTURE to have non-admixed representatives in the sample. If every individual in a group is in fact admixed, then (with some exceptions) the model simply shifts the allele frequencies of the inferred ancestral population to reflect the fraction of admixture that is shared by all individuals.

    Several methods have been developed to estimate K, but for real data, the assumption that there is a true value is always incorrect; the question rather being whether the model is a good enough approximation to be practically useful. First, there may be close relatives in the sample which violates model assumptions. Second, there might be “isolation by distance”, meaning that there are no discrete populations at all. Third, population structure may be hierarchical, with subtle subdivisions nested within diverged groups. This kind of structure can be hard for the algorithms to detect and can lead to underestimation of K. Fourth, population structure may be fluid between historical epochs, with multiple events and structures leaving signals in the data. Many users examine the results of multiple K simultaneously but this makes interpretation more complex, especially because it makes it easier for users to find support for preconceptions about the data somewhere in the results.

    In practice, the best that can be expected is that the algorithms choose the smallest number of ancestral populations that can explain the most salient variation in the data. Unless the demographic history of the sample is particularly simple, the value of K inferred according to any statistically sensible criterion is likely to be smaller than the number of distinct drift events that have practically impacted the sample. The algorithm uses variation in admixture proportions between individuals to approximately mimic the effect of more than K distinct drift events without estimating ancestral populations corresponding to each one. In other words, an admixture model is almost always “wrong” (Assumption 2 of the Core protocol, Fig. 1) and should not be interpreted without examining whether this lack of fit matters for a given question.

    admixture-pitfalls
    Three scenarios that give indistinguishable ADMIXTURE results. a Simplified schematic of each simulation scenario. b Inferred ADMIXTURE plots at K= 11. c CHROMOPAINTER inferred painting palettes.

    Because STRUCTURE/ADMIXTURE accounts for the most salient variation, results are greatly affected by sample size in common with other methods. Specifically, groups that contain fewer samples or have undergone little population-specific drift of their own are likely to be fit as mixes of multiple drifted groups, rather than assigned to their own ancestral population. Indeed, if an ancient sample is put into a data set of modern individuals, the ancient sample is typically represented as an admixture of the modern populations (e.g., ref. 28,29), which can happen even if the individual sample is older than the split date of the modern populations and thus cannot be admixed.

    This paper was already available as a preprint in bioRxiv (first published in 2016) and it is incredible that it needed to wait all this time to be published. I found it weird how reviewers focused on the “tone” of the paper. I think it is great to see files from the peer review process published, but we need to know who these reviewers were, to understand their whiny remarks… A lot of geneticists out there need to develop a thick skin, or else we are going to see more and more delays based on a perceived incorrect tone towards the field, which seems a rather subjective reason to force researchers to correct a paper.

    PCA of SNP data

    Open access Effective principal components analysis of SNP data, by Gauch, Qian, Piepho, Zhou, & Chen, bioRxiv (2018).

    Interesting excerpts:

    A potential hindrance to our advice to upgrade from PCA graphs to PCA biplots is that the SNPs are often so numerous that they would obscure the Items if both were graphed together. One way to reduce clutter, which is used in several figures in this article, is to present a biplot in two side-by-side panels, one for Items and one for SNPs. Another stratagem is to focus on a manageable subset of SNPs of particular interest and show only them in a biplot in order to avoid obscuring the Items. A later section on causal exploration by current methods mentions several procedures for identifying particularly relevant SNPs.

    One of several data transformations is ordinarily applied to SNP data prior to PCA computations, such as centering by SNPs. These transformations make a huge difference in the appearance of PCA graphs or biplots. A SNPs-by-Items data matrix constitutes a two-way factorial design, so analysis of variance (ANOVA) recognizes three sources of variation: SNP main effects, Item main effects, and SNP-by-Item (S×I) interaction effects. Double-Centered PCA (DC-PCA) removes both main effects in order to focus on the remaining S×I interaction effects. The resulting PCs are called interaction principal components (IPCs), and are denoted by IPC1, IPC2, and so on. By way of preview, a later section on PCA variants argues that DC-PCA is best for SNP data. Surprisingly, our literature survey did not encounter even a single analysis identified as DC-PCA.

    The axes in PCA graphs or biplots are often scaled to obtain a convenient shape, but actually the axes should have the same scale for many reasons emphasized recently by Malik and Piepho [3]. However, our literature survey found a correct ratio of 1 in only 10% of the articles, a slightly faulty ratio of the larger scale over the shorter scale within 1.1 in 12%, and a substantially faulty ratio above 2 in 16% with the worst cases being ratios of 31 and 44. Especially when the scale along one PCA axis is stretched by a factor of 2 or more relative to the other axis, the relationships among various points or clusters of points are distorted and easily misinterpreted. Also, 7% of the articles failed to show the scale on one or both PCA axes, which leaves readers with an impressionistic graph that cannot be reproduced without effort. The contemporary literature on PCA of SNP data mostly violates the prohibition against stretching axes.

    pca-how-to
    DC-PCA biplot for oat data. The gradient in the CA-arranged matrix in Fig 13 is shown here for both lines and SNPs by the color scheme red, pink, black, light green, dark green.

    The percentage of variation captured by each PC is often included in the axis labels of PCA graphs or biplots. In general this information is worth including, but there are two qualifications. First, these percentages need to be interpreted relative to the size of the data matrix because large datasets can capture a small percentage and yet still be effective. For example, for a large dataset with over 107,000 SNPs for over 6,000 persons, the first two components capture only 0.3693% and 0.117% of the variation, and yet the PCA graph shows clear structure (Fig 1A in [4]). Contrariwise, a PCA graph could capture a large percentage of the total variation, even 50% or more, but that would not guarantee that it will show evident structure in the data. Second, the interpretation of these percentages depends on exactly how the PCA analysis was conducted, as explained in a later section on PCA variants. Readers cannot meaningfully interpret the percentages of variation captured by PCA axes when authors fail to communicate which variant of PCA was used.

    Conclusion

    Five simple recommendations for effective PCA analysis of SNP data emerge from this investigation.

    1. Use the SNP coding 1 for the rare or minor allele and 0 for the common or major allele.
    2. Use DC-PCA; for any other PCA variant, examine its augmented ANOVA table.
    3. Report which SNP coding and PCA variant were selected, as required by contemporary standards in science for transparency and reproducibility, so that readers can interpret PCA results properly and reproduce PCA analyses reliably.
    4. Produce PCA biplots of both Items and SNPs, rather than merely PCA graphs of only Items, in order to display the joint structure of Items and SNPs and thereby to facilitate causal explanations. Be aware of the arch distortion when interpreting PCA graphs or biplots.
    5. Produce PCA biplots and graphs that have the same scale on every axis.

    I read the referenced paper Biplots: Do Not Stretch Them!, by Malik and Piepho (2018), and even though it is not directly applicable to the most commonly available PCA graphs out there, it is a good reminder of the distorting effects of stretching. So for example quite recently in Krause-Kyora et al. (2018), where you can see Corded Ware and BBC samples from Central Europe clustering with samples from Yamna:

    NOTE. This is related to a vertical distorsion (i.e. horizontal stretching), but possibly also to the addition of some distant outlier sample/s.

    pca-cwc-yamna-bbc
    Principal Component Analysis (PCA) of the human Karsdorf and Sorsum samples together with previously published ancient populations projected on 27 modern day West Eurasian populations (not shown) based on a set of 1.23 million SNPs (Mathieson et al., 2015). https://doi.org/10.7554/eLife.36666.006

    The so-called ‘Yamnaya’ ancestry

    Every time I read papers like these, I remember commenters who kept swearing that genetics was the ultimate science that would solve anthropological problems, where unscientific archaeology and linguistics could not. Well, it seems that, like radiocarbon analysis, these promising developing methods need still a lot of refinement to achieve something meaningful, and that they mean nothing without traditional linguistics and archaeology… But we already knew that.

    Also, if this is happening in most peer-reviewed publications, made by professional geneticists, in journals of high impact factor, you can only wonder how many more errors and misinterpretations can be found in the obscure market of so many amateur geneticists out there. Because amateur geneticist is a commonly used misnomer for people who are not geneticists (since they don’t have the most basic education in genetics), and some of them are not even ‘amateurs’ (because they are selling the outputs of bioinformatic tools)… It’s like calling healers ‘amateur doctors’.

    NOTE. While everyone involved in population genetics is interested in knowing the truth, and we all have our confirmation (and other kinds of) biases, for those who get paid to tell people what they want to hear, and who have sold lots of wrong interpretations already, the incentives of ‘being right’ – and thus getting involved in crooked and paranoid behaviour regarding different interpretations – are as strong as the money they can win or loose by promoting themselves and selling more ‘product’.

    As a reminder of how badly these wrong interpretations of genetic results – and the influence of the so-called ‘amateurs’ – can reflect on research groups, yet another turn of the screw by the Copenhagen group, in the oral presentations at Languages and migrations in pre-historic Europe (7-12 Aug 2018), organized by the Copenhagen University. The common theme seems to be that Bell Beaker and thus R1b-L23 subclades do represent a direct expansion from Yamna now, as opposed to being derived from Corded Ware migrants, as they supported before.

    NOTE. Yes, the “Yamna → Corded Ware → Únětice / Bell Beaker” migration model is still commonplace in the Copenhagen workgroup. Yes, in 2018. Guus Kroonen had already admitted they were wrong, and it was already changed in the graphic representation accompanying a recent interview to Willerslev. However, since there is still no official retraction by anyone, it seems that each member has to reject the previous model in their own way, and at their own pace. I don’t think we can expect anyone at this point to accept responsibility for their wrong statements.

    So their lead archaeologist, Kristian Kristiansen, in The Indo-Europeanization of Europé (sic):

    kristiansen-migrations
    Kristiansen’s (2018) map of Indo-European migrations

    I love the newly invented arrows of migration from Yamna to the north to distinguish among dialects attributed by them to CWC groups, and the intensive use of materials from Heyd’s publications in the presentation, which means they understand he was right – except for the fact that they are used to support a completely different theory, radically opposed to those defended in Heyd’s model

    Now added to the Copenhagen’s unending proposals of language expansions, some pearls from the oral presentation:

    • Corded Ware north of the Carpathians of R1a lineages developed Germanic;
    • R1b borugh [?] Italo-Celtic;
    • the increase in steppe ancestry on north European Bell Beakers mean that they “were a continuation of the Yamnaya/Corded Ware expansion”;
    • Corded Ware groups [] stopped their expansion and took over the Bell Beaker package before migrating to England” [yep, it literally says that];
    • Italo-Celtic expanded to the UK and Iberia with Bell Beakers [I guess that included Lusitanian in Iberia, but not Messapian in Italy; or the opposite; or nothing like that, who knows];
    • 2nd millennium BC Bronze Age Atlantic trade systems expanded Proto-Celtic [yep, trade systems expanded the language]
    • 1st millennium BC expanded Gaulish with La Tène, including a “Gaulish version of Celtic to Ireland/UK” [hmmm, dat British Gaulish indeed].

    You know, because, why the hell not? A logical, stable, consequential, no-nonsense approach to Indo-European migrations, as always.

    Also, compare still more invented arrows of migrations, from Mikkel Nørtoft’s Introducing the Homeland Timeline Map, going against Kristiansen’s multiple arrows, and even against the own recent fantasy map series in showing Bell Beakers stem from Yamna instead of CWC (or not, you never truly know what arrows actually mean):

    corded-ware-migrations
    Nørtoft’s (2018) maps of Indo-European migrations.

    I really, really loved that perennial arrow of migration from Volosovo, ca. 4000-800 BC (3000+ years, no less!), representing Uralic?, like that, without specifics – which is like saying, “somebody from the eastern forest zone, somehow, at some time, expanded something that was not Indo-European to Finland, and we couldn’t care less, except for the fact that they were certainly not R1a“.

    This and Kristiansen’s arrows are the most comical invented migration routes of 2018; and that is saying something, given the dozens of similar maps that people publish in forums and blogs each week.

    NOTE. You can read a more reasonable account of how haplogroup R1b-L51 and how R1-Z645 subclades expanded, and which dialects most likely expanded with them.

    We don’t know where these scholars of the Danish workgroup stand at this moment, or if they ever had (or intended to have) a common position – beyond their persistent ideas of Yamnaya™ ancestral component = Indo-European and R1a must be Indo-European – , because each new publication changes some essential aspects without expressly stating so, and makes thus everything still messier.

    It’s hard to accept that this is a series of presentations made by professional linguists, archaeologists, and geneticists, as stated by the official website, and still harder to imagine that they collaborate within the same professional workgroup, which includes experienced geneticists and academics.

    I propose the following video to close future presentations introducing innovative ideas like those above, to help the audience find the appropriate mood:

    Related

    On the origin and spread of haplogroup R1a-Z645 from eastern Europe

    indo-european-uralic-migrations-corded-ware

    In my recent post about the origin and expansion of haplogroup R1b-L51, Chetan made an interesting comment on the origin and expansion of R1a-Z645. Since this haplogroup is also relevant for European history and dialectal North-West Indo-European and Indo-Iranian expansion, I feel compelled to do a similar post, although the picture right now is more blurry than that of R1b-L51.

    I find it interesting that many geneticists would question the simplistic approach to the Out of Africa model as it is often enunciated, but they would at the same time consider the current simplistic model of Yamna expansion essentially right; a model – if anyone is lost here – based on proportions of the so-called Yamnaya™ ancestral component, as found in a small number of samples, from four or five Eneolithic–Chalcolithic cultures spanning more than a thousand years.

    The “75% Yamnaya ancestry of Corded Ware”, which has been given so much publicity since 2015, made geneticists propose a “Yamna → Corded Ware → Únětice / Bell Beaker” migration model, in order of decreasing Yamnaya proportions. Y-DNA and solid archaeological models suggested that this model was wrong, and recent findings have proven it was. In fact, the CWC sample closest to Yamna was a late outlier of Esperstedt in Central Europe, whose ancestry is most likely directly related to Yamna settlers from Hungary.

    These wrong interpretations have been now substituted by data from two new early samples from the Baltic, which cluster closely to Yamna, and which – based on the Y-DNA and PCA cluster formed by all Corded Ware samples – are likely the product of female exogamy with Yamna peoples from the neighbouring North Pontic region (as we are seeing, e.g. in the recent Nikitin et al. 2018).

    NOTE. There is also another paper from Nikitin et al. (2017), with more ancient mtDNA, “Subdivisions of haplogroups U and C encompass mitochondrial DNA lineages of Eneolithic-Early Bronze Age Kurgan populations of western North Pontic steppe”. Link to paper (behind paywall). Most interesting data is summarized in the following table:

    yamna-corded-ware-mtdna

    Even after the publication of Olalde et al. (2018) and Wang et al. (2018) – where expanding Yamna settlers and Bell Beakers are clearly seen highly admixed within a few generations, and are found spread across a wide Eurasian cline (sharing one common invariable trait, the paternally inherited haplogroup, as supported by David Reich) – fine-scale studies of population structure and social dynamics is still not a thing for many, even though it receives more and more advocates among geneticists (e.g. Lazaridis, or Veeramah).

    NOTE. I have tried to explain, more than once, that the nature and origin of the so-called “Yamnaya ancestry” (then “steppe ancestry”, and now subdivided further as Steppe_EMBA and Steppe_MLBA) is not known with precision before Yamna samples of ca. 3000 BC, and especially that it is not necessarily a marker of Indo-European speakers. Why some people are adamant that steppe ancestry and thus R1a must be Indo-European is mostly related to a combination of grandaddy’s haplogroup, the own modern ethnolinguistic attribution, and an aversion to sharing grandpa with other peoples and cultures.

    In the meantime, we are seeing the “Yamnaya proportion” question often reversed: “how do we make Corded Ware stem from Yamna, now that we believed it?”. This is a funny circular reasoning, akin to the one used by proponents of the Franco-Cantabrian origin of R1b, when they look now at EEF proportions in Iberian R1b-L23 samples. It seems too comic to be true.

    R1a and steppe ancestry

    The most likely origin of haplogroup R1a-Z645 is to be found in eastern Europe. Samples published in the last year support this region as a sort of cradle of R1a expansions:

    • I1819, Y-DNA R1a1-M459, mtDNA U5b2, Ukraine Mesolithic ca. 8825-8561 calBCE, from Vasilievka.
    • I5876, Y-DNA R1a, mtDNA U5a2a, Ukraine Mesolithic 7040-6703 calBCE, from Dereivka.
    • I0061, hg R1a1-M459 (xR1a1a-M17), mtDNA C1, ca. 6773-6000 calBCE (with variable dates), from Yuzhnyy Oleni Ostrov in Karelia.
    • Samples LOK_1980.006 and LOK_1981.024.01, of hg MR1a1a-M17, mtDNA F, Baikalic cultures, dated ca. 5500-5000 BC.
    • Sample I0433, hg R1a1-M459(xM198), mtDNA U5a1i, from Samara Eneolithic, ca. 5200-4000 BCE
    • Samples A3, A8, A9, of hg R1a1-M459, mtDNA H, from sub-Neolithic cultures (Comb Ware and Zhizhitskaya) at Serteyea, although dates (ca. 5th-3rd millennium BC) need possibly a revision (from Chekunova 2014).

    NOTE. The fact that Europe is better sampled than North Asia, coupled with the finding of R1a-M17 in Baikalic cultures, poses some problems as to the precise origin of this haplogroup and its subclades. While the first (Palaeolithic or Mesolithic) expansion was almost certainly from Northern Eurasia to the west – due to the Mal’ta sample – , it is still unknown if the different subclades of R1a in Europe are the result of local developments, or rather different east—west migrations through North Eurasia.

    Y-Full average estimates pointed to R1a-M417 formation ca. 6500 BC, TMRCA ca. 3500 BC, and R1a-Z645 formation ca. 3300 BC, TMRCA ca. 2900 BC, so the most likely explanation was that R1a-Z645 and its subclades – similar to R1b-L23 subclades, but slightly later) expanded quickly with the expansion of Corded Ware groups.

    The presence of steppe ancestry in Ukraine Eneolithic sample I6561, of haplogroup R1a-M417, from Alexandria, dated ca. 4045-3974 calBCE, pointed to the forest steppe area and late Sredni Stog as the most likely territory from where the haplogroup related to the Corded Ware culture expanded.

    However, the more recent Y-SNP call showing R1a-Z93 (L657) subclade rendered Y-Full’s (at least formation) estimates too young, so we have to rethink the actual origin of both subclades, R1a-Z93 (formation ca. 2900 BC, TMRCA ca 2700 BC), and R1a-Z283 (formation ca. 2900 BC, TMRCA ca. 2800 BC).

    Contrary to what we thought before this, then, it is possible that the expansion of Khvalynsk-Novodanilovka chieftains through the steppes, around the mid-5th millennium BC, had something to do with the expansion of R1a-Z645 to the north, in the forest steppe.

    We could think that the finding of Z93 in Alexandria after the expansion of Khvalynsk-Novodanilovka chiefs would make it more likely that R1a-Z645 will be found in the North Pontic area. However, given that Lower Mikhailovka and Kvitjana seem to follow a steppe-related cultural tradition, different to forest steppe cultures (like Dereivka and Alexandria), and that forest steppe cultures show connections to neighbouring northern and western forest regions, the rest of the expanding R1a-Z645 community may not be related directly to the steppe at all.

    Adding a hypothetical split and expansion of Z645 subclades to the mid-/late-5th millennium could place the expansion of this haplogroup to the north and west, pushed by expanding Middle PIE-speaking steppe peoples from the east:

    distribution-horse-scepters
    Schematic depiction of the spread of horse-head scepters in the Middle Eneolithic, representing expanding Khvalynsk-Novodanilovka chieftains. See a full version with notes here.

    The Złota culture

    I have already written about the Podolia-Volhynia region: about the North Pontic steppe cultures in contact with this area, and about the chaotic period of migrations when Corded Ware seem to have first emerged there among multi-directional and multi-ethnic migrants.

    This is what Włodarczak (2017) says about the emergence of Corded Ware with ‘steppe features’ after the previous expansion of such features in Central Europe with Globular Amphorae peoples. He refers here to the Złota culture (appearing ca. 2900-2800 BC) in Lesser Poland, believed to be the (or a) transitional stage between GAC and Corded Ware, before the emergence of the full-fledged “Corded Ware package”.

    So far, to the north of the Carpathian Mountains, including Polish lands, no graves indicating their relationship with communities of the steppe zone have been found. On the contrary, the funeral rites always display a local, central European nature. However, individual elements typical of steppe communities do appear, such as the “frog-like” arrangement of the body (Fig. 20), or items associated with Pit Grave milieux (cf. Klochko, Kośko 2009; Włodarczak 2014). A spectacular example of the latter is the pointed-base vessel of Pit Grave culture found at the cemetery in Święte, site 11 near Jarosław (Kośko et al. 2012). These finds constitute a confirmation of the importance of the relationships between communities of Pit Grave culture and Corded Ware culture. They are chronologically diverse, although most of them are dated to 2600-2400 BC – that is, to the “classic” period of Corded Ware culture.

    funnelbeaker-trypillia-corded-ware
    Map of territorial ranges of Funnel Beaker Culture (and its settlement concentrations in Lesser Poland), local Trypillian groups and early Corded Ware Culture settlements (◼) at the turn of the 4th/3rd millennia BC.

    However, when discussing the relationships with the steppe communities, Polish lands deserve particular attention since part of the groups inhabiting it belonged to the eastern province of Corded Ware culture (cf. Häusler 2014), which neighboured Pit Grave culture both from the east and south. In addition, there was a tradition of varied relationships with the north Pontic zone, which began to intensify from the second half of the 4th millennium BC (Kośko, Szmyt, 2009; Kośko, Klochko, 2009). These connections are especially readable in Małopolska and Kujawy (Kośko 2014; Włodarczak 2014). The emergence of the community of Globular Amphora culture in the north Pontic zone at the end of the 4th and the beginnings of the 3rd millennium BC (Szmyt 1999) became a harbinger of a cultural closening between the worlds of central Europe and the steppe.

    The second important factor taking place at that time was the expansion of the people of Pit Grave culture in a westerly direction, along the Danube thoroughfare. As a result of this, also to the south of the Carpathian Mountains, e.g., along the upper Tisza River, a new “kurgan” cultural system was formed. As one outcome, the areas of central Europe, above all Małopolska, found themselves in the vicinity of areas inhabited by communities characterized by new principles of social organization and a new funeral rite. Around 2800 BC these changes became evident in different regions of Poland, with the most numerous examples being documented in south-eastern Poland and Kujawy. The nature of the funeral rite and the features of the material culture perceptible at that time do not have straight forward analogies in the world of north Pontic communities. In this respect, the “A-horizon” is a phenomenon of local, central European origin. The events preceding the emergence of the said horizon (that is, the expansion of the people of Pit Grave culture into the area north of the arc of the Carpathians) are nowadays completely unidentifiable and remain merely an interesting theoretical matter (cf. e.g., Kośko 2000). Therefore, analysis of the archaeological sources cannot confirm the first archaeogenetic analysis suggesting a bond between the communities of the Pit Grave culture and Corded Ware culture (e.g., Haak et al. 2015).

    Artefacts of the “A-horizon”, i.e., shaft-hole axes, amphorae (Fig. 21), beakers, and pots with a plastic wavy strip (Fig. 7) are found in different funerary and settlement contexts, sometimes jointly with finds having characteristics of various cultures (e.g., in graves of Złota culture, or at settlements of Rzucewo culture). Hence, they primarily represent a chronological phase (c. 2800-2600 BC), one obviously related to the expansion of a new ideology.

    Eastern CWC expansion

    Before continuing tracing the Corded Ware culture’s main features, it is worth it to trace first their movement forward in time, as Corded Ware settlers, from Poland to the east.

    Circum-Baltic CWC

    According to Klochko and Kośko (1998):

    The colonizing Neolithic waves are continued by the Circum-Baltic Corded Ware culture, closely related to the traditions of the Single Grave culture and traditions of the Northern European Lowlands. After ca. 2900 BC, certain cultural systems with ‘corded’ traits –genetically related to the catchment area of the south-western Baltic – appear in the drainages of the Nemen, Dvina, Upper Dnieper, and even the Volga. These communities are considered the vector of Neolithisation in the Forest Zone.

    east-european-fatyanovocwc
    East European movement directions (arrows) of the representatives of the Central European Corded Ware Culture. Modified from I.I. Artemenko.

    The picture in the Baltic (Pamariu / Rzucewo) and Finland (Battle Axe) is thus more or less clearly connected with early dates ca. 2900-2800 BC:

    There is a clear interaction sphere between the eastern Gulf of Finland area – reaching from Estonia to the areas of present-day Finland and the Karelian Isthmus in Russia –, evidenced e.g. by the sharp-butted axes, derived from the Estonian Karlova axe.

    Interesting in this regard is the expansion of the Corded Ware culture in Finland, into a far greater territory than previously thought, that is poorly represented in most maps depicting the extent of the culture in Europe. Here is summary of CWC findings in Finland, using images from Nordqvist and Häkäla (2014):

    finland-cwc
    Corded Ware culture remains in Finland, excluding the so-called ‘imitations’. [Notice in the top left image the often depicted border of the culture]. Combination of maps from Nordqvist & Häkälä (2014)

    Middle Dnieper and Fatyanovo

    The earliest Middle Dnieper remains are related to CWC graves between the Upper Vistula and the Bug, containing pottery with Middle Dnieper traits, dated probably ca. 2700 BC, which links it with the expansion of the A-horizon. In fact, during the period ca. 2800-2400 BC, the area of Lesser Poland (with its numerous kurgans and catacomb burials) is considered the western fringe of an area spreading to the east, to the middle Dniester and middle Dnieper river basins, i.e. regions bordering the steppe oecumene. This ‘eastern connection’ of funeral ritual, raw materials, and stylistic traits of artefacts is also identified in some graves of the Polish Lowlands (Włodarczak 2017).

    gac-cwc-baltic-dnieper
    Cultural situation in Eastern Europe in approximately the middle of the III mill. BC. Key: 1 – areas settled by Globular Amphora culture populations; 2 – areas penetrated by Globular Amphora culture populations; 3 – border between central and eastern group; 4 – Pamariu/Rzucewo culture area; 5 – zone of Pamariu/Rzucewo culture influences; 6 – directions of Comb Pottery culture influence; 7 – Zhizhitskaya culture; 8 – eastern border of “pure” Corded Ware site; 9 – North Belarussian culture; 10 – Middle Dnieper culture; 11 – Fatyanovo culture; 12 – Yamnaya culture; 13 – eastern border of Dniester group; 14 – Kemi-Oba culture and influences; 15 – Foltesti culture; 16 – syncretic sites with evidence of Globular Amphora culture traits (1 – Nida; 2 – Butinge; 3 – Palanga; 4 – Juodkrante; 5 – Azyarnoye; 6 – Mali Rogi; 7 – Prorva; 8 – Strumen/Losha; 9 – Syabrovichi; 10 – Luchin-Zavale; 11 – Lunevo (?); 12 – Belynets; 13 – Losiatyn; 14 – Corpaci; 15 – Ocnita; 16-17 – Camenca; 18 – Marculesti; 19 – Orhei; 20 – Efimovka; 21 – Tatarbunary; 22 – Novoselitsa; 23 – Primorskoye; 24 – Sanzhiyka; 25 – Akkermen; 26 – Maydanetskoye; 27 – Grigorevka; 28 – Kholmskoye; 29 – Purcari; 30 – Roscani; 31 – Semenovka; 32 – Grishevka; 33 – Durna Skela; 34 – Iskovshchina; 35 – Primorskoye); 17 – borders of ecological zones. From Szmyt (2010)

    The Fatyanovo (or Fatyanovo-Balanovo) culture was the easternmost group of the Corded Ware culture, and occupied the centre of the Russian Plain, from Lake Ilmen and the Upper Dnieper drainage to the Wiatka River and the middle course of the Volga. From the few available dates, the oldest ones from the plains of the Moskva river, and from the late Volosovo culture containing also Fatyanovo materials, and in combination they show a date of ca. 2700 BC for its appearance in the region. The Volosovo culture of foragers eventually disappeared when the Fatyanovo culture expanded into the Upper and Middle Volga basin.

    The origin of the culture is complicated, because it involves at its earliest stage different Corded Ware influences in neighbouring sites, at least on the Moskva river plains (Krenke et al. 2013): some materials (possibly earlier) show Circum-Baltic and Polish features; other sites show a connection to western materials, in turn a bridge to the Middle Dnieper culture. This suggests that groups belonging to different groups of the corded ware tradition penetrated the Moscow region.

    The split of subclades Z93 – Z283

    If we take into account that the split between R1-Z93 and R1a-Z283 must have happened during the 5th millennium BC, we have R1a-Z93 likely around the middle Dnieper area (as supported by the Alexandria sample), and R1a-Z283 possibly to the north(-west), so that it could have expanded easily into Central Europe, and – through the northern, Baltic region – to the east.

    Where exactly lies the division is unclear, but for the moment all reported Circum-Baltic samples with Z645 subclades seem to belong to Z282, while R1a samples from Sintashta/Potapovka (including the Poltavka outlier) point to Abashevo being dominated by R1a-Z93 subclades.

    We have to assume, then, that an original east-west split betwen R1a-Z283 and R1a-Z93 turned, in the eastern migrations, into a north-south split between Z282 and Z93, where Finland and Battle Axe in general is going to show Z282, and Middle Dnieper – Abashevo Z93 subclades.

    copper-age-early-cwc
    Early Copper Age migrations ca. 3100-2600 BC.

    I can think of two reasons why this is important:

    1. Depending on how Proto-Corded Ware peoples expanded, we may be talking about one community overcoming the other and imposing its language. Because either
      • clans of both Z93 and Z283 were quite close and kept intense cultural contacts around Dnieper-Dniester area; or
      • if the split is as early as the 5th millennium BC, and both communities separated then without contact, we are probably going to see a difference in the language spoken by both of them.
    2. In any case, the main north-south division of eastern Corded Ware groups is pointing to an important linguistic division within the Uralic-speaking communities, specifically between a Pre-Finno-Ugric and a Pre-Samoyedic one, and potentially between Pre-Finno-Permic and Pre-Ugric.

    These may seem irrelevant questions – especially for people interested only in Indo-European migrations. However, for those interested in the history of Eurasian peoples and languages as a whole, they are relevant: even those who support an ‘eastern’ origin of Proto-Uralic, like Häkkinen, or Parpola (who are, by the way, in the minority, because most Uralicists would point to eastern Europe well before the Yamna expansion), place the Finno-Ugric expansion with the Netted Ware culture as the latest possible Finno-Ugric immigrants in Fennoscandia.

    The Netted Ware culture

    The image below shows the approximate expansion of Corded Ware peoples of Battle Axe traditions in Finland, as well as neighbouring Fennoscandian territories, from ca. 2800 BC until the end of the 3rd millennium. A controversial 2nd (late) wave of the so-called Estonian Corded Ware is popular in texts about this region, but has not been substantiated, and it seems to be a regional development, rather than the product of migrations.

    finland-corded-ware
    Left: Corded Ware remains in Finland from ca. 2800 BC, according to Nordqvist & Häkälä (2014), combined in a single image. Right: Distribution of the Corded Ware culture within Finland. Mapped (black dots) are finds of typical stone battle axes, used as a proxy (data from [8]). The red isolines indicate average permanent snow cover period from 1981 to 2010 (data from [9]). A recent study estimates the snow cover period ca 4500 years ago would have been 40–50 days less than today [10]. Overlying coloration refers to the lactose persistance (LP) allele gradient in modern northeastern Europe (see the electronic supplementary material, appendix B: Material and methods and table 1, for details); lozenge dots specify the dataset mean points for the triangulation. From Cramp et al. (2014).

    As we have seen, Fatyanovo represents the most likely cultural border zone between Circum-Baltic peoples reaching from the Russian Battle Axe to the south, and Middle Dnieper peoples reaching from Abashevo to the north. In that sense, it also represents the most likely border culture between north-western (mainly R1a-Z282) and south-eastern (R1a-Z93) subclades.

    With worsening climatic conditions (cooler seasons) at the end of the 3rd millennium, less settlements are apparent in the archaeological record in Finland. After ca. 2000 BC, two CWC-related cultures remain: in the coast, the Kiukainen culture, derived from the original Circum-Baltic Corded Ware settlers, reverts to a subsistence economy which includes hunting and fishing, and keeps mainly settlements (from the best territories) along the coast. In the inland, Netted Ware immigrants eventually appear from the south.

    cultures-western-finland
    Image modified from Cramp et al. (2014) “The timeline shows the archaeological cultures
    discussed here alongside actual sherds sampled and typical vessel forms (after [26–28]) (latter not shown to scale). Distribution maps show the geographical range of (f) Typical Comb Ware, (g) Corded Ware, (h) Kiukainen Ware and (i) Bronze Age cultures in the region (after [10,20,29]).”

    The Netted Ware culture emerged in the Upper Volga–Oka region, derived from the Abashevo culture and its interaction with the Seima-Turbino network, and spread ca. 1900-1800 BC to the north into Finland, spreading into eastern regions previously occupied by cultures producing asbestos and organic-tempered wares (Parpola 2018).

    NOTE. Those ‘contaminated’ by the Copenhagen fantasy map series may think that Volosovo hunter-gatherers somehow survived the expansion of Fatyanovo-Balanovo and Abashevo, hidden for hundreds of years in the forest, and then reappeared and expanded the Netted Ware culture. Well, they didn’t. At least not in archaeological terms, and certainly not with the genetic data we have.

    If we combine all this information, and we think about these peoples in terms of Pre-Finno-Permic and Pre-Ugric languages developing side by side, we get a really interesting picture (see here for Proto-Fennic estimates):

    • The Battle Axe around the Baltic Sea – including the Gulf of Finland and Scandinavia – would be the area of expansion of Pre-Finno-Permic peoples, of R1a-Z283 subclades, which became later concentrated mainly on coastal regions;
    • the southern areas may correspond to Pre-Ugric peoples, which expanded later to the north with Netted Ware (see image below) – their precise subclades may be dependent on what will be found in Fatyanovo;
    • and Pre-Samoyedic peoples (of R1a-Z93 subclades) would have become isolated somewhere in the Cis- or (more likely) Trans-Urals region after 2000 BC, possibly from the interaction of the latest Balanovo stages and the Seima-Turbino phenomenon.
    netted-ware-parpola
    Distribution of the Netted Ware according to Carpelan (2002: 198). A: Emergence of the Netted Ware on the Upper Volga c. 1900 calBC. B: Spread of Netted Ware by c. 1800 calBC. C: Early Iron Age spread of Netted Ware. (After Carpelan 2002: 198 > Parpola 2012a: 151.)

    These communities in contact would have allowed for:

    • the known Indo-Iranian loanwords in Finno-Ugric to spread through a continuum of early dialects formed by Abashevo – Fatyanovo – Battle Axe groups;
    • the Finno-Saamic substrate of Germanic to be associated with Battle Axe groups in Scandinavia;
    • the important Palaeo-Germanic loanwords in Finno-Saamic spreading with long-term contacts (from Pre-Germanic to the Proto-Germanic, and later North Germanic period) through the Baltic Sea, between Scandinavia and the Gulf of Finland;
    • and Tocharian contacts with Samoyedic (although limited, and in part controversial), which point to its early expansion to the east of the Ural Mountains.

    On the other hand, if one is inclined to believe that R1a and steppe ancestry do represent Indo-European speakers… which language was spoken from the Gulf of Finland well into the north, the inland, and Karelia, and in Northern Russia, by Corded Ware peoples and their cultural heirs (like Kiukainen or Netted Ware) for almost three thousand years?

    Because we know that no other peoples of different haplogroups dominated over eastern Fennoscandia until the Iron Age, and N1c and Siberian ancestry expanded separately, and probably due to late bottlenecks, especially with Fennic peoples expanding recently to the north at the expense of the Saami population.

    After the expansion of Bell Beaker peoples, the geographic distribution of late Corded Ware groups in the second half of the 3rd millennium, just before their demise – and before the expansion of Netted Ware to the north – , can be depicted thus as follows:

    bronze_age_early_cut
    Early Bronze Age Europe.

    Territories in cyan must then represent, for some people who believe in an archaic Indo-Slavonic of sorts, the famous Fennoscandian Balto-Slavic to the north (before they were displaced by incoming Finno-Saamic peoples of hg N1c during the Iron Age and up to the Middle Ages); and the also famous Tundra-Forest Indo-Iranian in the Upper Volga area, a great environment for the development of the two-wheeled chariot…

    But let’s leave the discussion on imaginary IE dialects for another post, and continue with the real question at hand.

    A steppe funerary connection?

    Back to Złota as a transitional culture, we have already seen how the corded ware vessels characteristic of the Classic CWC are related to Globular Amphora tradition, and show no break with this culture. It is usually believed that the funerary rites were adopted from steppe influence, too. That is probably right; but it does not mean that it came from Yamna or other coeval (or previous) steppe culture; at least not directly.

    NOTE. A similar problem is seen when we read that Mierzanowice or Trzciniec show “Corded Ware” traits from a neighbouring CWC group, when CWC groups disappeared long before these cultures emerged. For cultural groups that are separated centuries from each other, an assertion as to their relationship needs specifics in terms of dates and material connection, or it is plainly wrong.

    These are the funerary ritual features from Złota (later specialized in Corded Ware), as described by Włodarczak (2017):

    • Single burial graves; along with the habit of interring the deceased in multiple burial graves, but emphasizing their individual character by careful deposition of the body and personal nature of the grave goods.
    • Grave goods with materials and stylistiscs belonging to an older system (e.g. amber products); and others correlated to the ‘new world’ of the CWC, such as flint products made of the raw materials tipical of Lesser Poland’s CWC, copper ornaments, stone shaft-hole axes, bone and shell ornaments, and characteristic forms of vessels like beakers and amphoras.
    • Military goods, which would become prevalent in later periods, are present in a moderate number, compatible with their lesser importance.
    • There are also cases of the characteristic catacomb (“niche”) graves – with an entrance pit, a more extensive niche, and a narrow corridor leading to a vault – , as well as some individual cases of application of ochre and deformation of skulls.
    catacomb-grave-ksiaznice
    Catacomb grave no. 2a/06 from Książnice, Złota culture (acc. to Wilk 2013). Image from Włodarczak (2017)

    It seems that the Złota funerary tradition was also “transitional”, like corded ware vessels, into the classical Corded Ware ideology. But “transitional” from what exactly? Yamna? Probably not.

    The Lublin-Volhynia culture

    One needs not look for a too distant culture to find similarities. Włodarczak (2017) points to CWC in south-eastern Poland and Kuyavia showing, by the time of the Yamna expansion, a funeral rite and features of the material culture without straightforward analogies in the world of north Pontic communities, and thus suggests that the “A-horizon” is a local phenomenon of central European origin.

    This assertion is interesting, in so far as most Corded Ware samples investigated to date seem to come precisely from an East-Central territory near the Ukraine forest steppe, with a cluster already established by the end of the 5th millennium:

    PCA-caucasus-lola-ane-chg
    Image modified from Wang et al. (2018). Samples projected in PCA of 84 modern-day West Eurasian populations (open symbols). Previously known clusters have been marked and referenced. An EHG and a Caucasus ‘clouds’ have been drawn, leaving Pontic-Caspian steppe and derived groups between them.See the original file here.

    The following text is from Stanisław Wilk (2018), about the Lublin-Volhynian (and related) cemeteries at Wyciąże and Książnice:

    lublin-volhynia-culture
    A reach of the Wyciąże-Złotniki group and Lublin-Volhynian culture in the south-eastern Poland and western Ukraine: 1. Area of the Wyciąże-Złotniki group; 2. Area of the Lublin-Volhynian culture. A. Cemetery of the Lublin-Volhynian culture at site 2 in Książnice; B. Cemetery of the Wyciąże-Złotniki group at site 5 in Kraków Nowa Huta-Wyciąże (drawing by S. Wilk based on Zakościelna 2006 and Nowak 2014, on a background downloaded from https://maps-for-free.com/).

    Regardless of the differences between the two necropolises (such as the number of burials, the area which has been explored, the orientation and layout of burials), it seems that they have several key elements in common:

    • concentration of graves in separate cemeteries;
    • differentiation of burials with regard to sex (the principle of the ‘left ̶ right’ side, different burial goods for males and females);
    • stratification of graves with regard to the richness of their inventories (this mainly applied to copper artefacts);
    • occurrence of indicators of the richest male burials (a copper dagger in Wyciąże, a copper battle axe, a small axe and a chisel in Książnice);
    • allocation of a separate area for elite burials (the eastern burial area in Książnice, and the southeastern and north-central part of the necropolis in Wyciąże), as well as one for egalitarian burials (the western area in Książnice, and the south-central and western part of the cemetery in Wyciąże).
    lublin-volhynian-eneolithic-cemetery
    Plan of the Lublin-Volhynian culture cemetery at site 2 in Książnice: 1. female graves; 2. man graves; 3. copper traces; 4. cenothap; 5. cremation grave; 6. partial grave; 7. estimated area of the L-VC cemetery; 8. estimated area of an elite and poor burial fields; 9. area of burials containing copper artefacts (drawing by S. Wilk).

    The above-mentioned characteristics prove that the patterns of social and religious behaviours from areas lying beyond the Carpathian Mountains exerted a strong influence on the two societies living in Lesser Poland.

    Anna Zakościelna, while describing the similarities between the burial ritual of the late Polgár groups and cultures from areas on the Tisza river and the Lublin-Volhynia culture, claimed that:

    a characteristic feature of the burial ritual of both cultures was practicing various group norms, which required different treatment of the deceased depending on their sex, age and social rank. As in the Lublin-Volhynia culture, the opposition ‘male – female’ can the most clearly be observed ̶ particularly, in the consistent positioning of males on the right, and females, on the left side. And, there is much indication that this ritual norm divided the deceased from early childhood (Sofaer Derevensky 1997: 877, Tab. 1; Lichter 2001: 276- 280, 322-323) (Zakościelna 2010: 227-228).

    It seems that these observations can also be extended to the Wyciąże-Złotniki group.

    Another question is whether the evidence of the influences of the copper civilization observed in both cemeteries emerged as a result of the literal copying of patterns from the south, or whether the latter were only a source of inspiration for local solutions.

    Looking at this problem form the perspective of the details of burial ritual, between the Carpathian Basin and Lesser Poland, we can observe clear differences, among others, in the size of cemeteries and orientation of burials. While, in the Carpathian Basin there were large necropolises, consisting of several dozen burials located in rows, with the dominant orientation along the SE-NW and E-W axis (Lichter 2001: Abb. 123, 143; Kadrow 2008: 87); in Lesser Poland there were small cemeteries of several to a dozen or so burials, mostly oriented along the S-N axis (in the Lublin-Volhynia culture; Zakościelna 2010: 66), as well as S-E and NE-SW (in the Wyciąże-Złotniki group; Kaczanowska 2009: 77). Similarly, there are differences in the details of the burial goods. North of the Carpathians, there is a much smaller frequency of copper artefacts, particularly in the group of prestigious, heavy items (battle axes, axes and daggers), as well as a complete lack of objects made of gold. Want is more, the pottery found in the graves has a distinct local character, only supplemented by imitating or imports from areas beyond the Carpathians (Zakościelna 2006: 85; Nowak 2014: 273; a different opinion Kozłowski 2006: 57). Therefore, the suggestion made by Nowak seems right ̶ namely, that these influences were not caused by migrations of groups of the population living on the Tisza river to Lesser Poland, but were rather due to processes of selective cultural transmission (Nowak 2014: 273).

    Therefore, the sharing of a similar funerary rite (as happened later between Lublin-Volhynia and Złota), although it shows a strong cultural connection with autochthonous cultures, is obviously not the same as sharing ancestors; and even if it were so, they would not need to be paternal ancestors. But it shows that important Corded Ware cultural traits are local developments, and it disconnects thus still more supposed CWC ‘steppe traits’ from steppe cultures, and connects them with the first steppe-related cultural wave that reached central Europe in the 5th millennium BC.

    Prehistoric Pontic—Caspian links

    How would a Lublin-Volhynia culture be related to the North Pontic area ca. 4500-3000 BC? We can enjoy the map series of Baltic—Pontic migrations by Viktor Klochko (2009), and make a wild guess:

    baltic-pontic-routes
    Pontic—Baltic routes of migrations during the Eneolithic. Top left: Linear Pottery expansion. Top right: Funnel Beaker expansion. Bottom left: late Trypillia expansion. Bottom right: GAC expansion.

    And then read the account of Sławomir Kadrow, in Exchange of People, Ideas and Things between Cucuteni-Trypillian Complex and Areas of South-Eastern Poland (2016):

    In the second half of the 5th millennium BC (horizon 1), communities of the Tripolye culture, phases BI-BII, had contacts with the population of the late (IIa) phase of the Malice culture. The areas settled by both cultural complexes were located at a great distance from each other. The communities of the Tripolye culture adopted selected features of Malice ceramic production (fig 2). This seems to have resulted from marital exchange: on a moderate scale, Tripolye men sought out their wives in the area of the Malice culture and, according to patrilocal marriage customs, the women then moved to the Tripolye settlements, sporadically transferring ready-made ceramic products, so-called imports, to the Tripolye culture. Thus, the wives were responsible for the considerably more numerous imitations of the Malice ceramics and the long-lasting, though selective, traditions of Malice pottery passed down in their new environment. The patrilocal marriage customs involving the Malice women and the Tripolye men (never the other way round), and the fact that pottery was women’s domain, led to the unidirectional transfer of vessels, technology and norms of ceramic production from the Malice culture to the Tripolye culture.

    The turn of the 5th and the 4th millennia and the early 4th millennium BC (horizon 2) witnessed the deepening interaction between the populations of the youngest (IIb) phase of the Malice culture and the classic (II) phase of the Lublin-Volhynia culture on the one hand and the communities of phase BII of the Tripolye culture on the other. The Danube and the Tripolye settlement complexes came into contact on the upper Dniester and between the Styr and the Horyn rivers in Volhynia. This helped to continue the previous forms of marital exchange, which resulted in further popularisation of the ceramics and the traditions of ceramic production typical of the Danube cultures, i.e. the Malice and the Lublin-Volhynia cultures, and also the Polgár culture, in the areas settled by the Tripolye cultural complex.

    As the civilizational norms of the Eneolithic (Copper) Age became widespread in that period, the forms of interaction described above acquired new elements. The deepening internal diversification of the early Eneolithic communities of the Lublin-Volhynia culture led to a growing demand for prestige objects, which was met with import or imitation of copper artefacts, mainly those from the Carpathian Basin, and with flint tools produced from long blades. That type of flint production depended largely on new technologies derived from the Tripolye culture, as proven by such borrowings as troughlike retouch or the very idea and technology for the production of long flint blades in the Lublin-Volhynia culture. It seems that the influx of Tripolye settlers into flintbearing areas in Volhynia and on the upper Dniester, adjacent to the settlement centres of the late phase of the Malice culture and the Lublin-Volhynia culture, created sufficient conditions for the expanding influence of the Tripolye flint working on the communities of the Eneolithic Lublin-Volhynia culture.

    In the mid-4th millennium BC (horizon 3), those forms of interaction between the Danube communities (the late phase of the Lublin-Volhynian culture) and the Tripolye communities (phase CI)were continued. Elements of the Danube pottery still grew in popularity in the Tripolye population, while selected features of the Tripolye flint working were adopted by the Lublin-Volhynia culture.

    In that period, the population of the Funnel Beaker culture of the pre-classic and early classic phases (the beginnings of Gródek 1 and Bronocice III), until then absent from those areas, quite quickly drove out and replaced the Danube population in western Volhynia and the upper Dniester basin. This caused significant changes in the forms and intensity of the intercultural interaction, which became fully apparent already in the 2nd half of the 4th millennium BC.

    In the following period (horizon 4), the population of the classic phase of the Funnel Beaker culture (Gródek 1, Bronocice III) settled more and more intensively the upper Dniester basin, up to the Hnyla Lypa river, and western Volhynia, up to the Styr river. East of those rivers, the Funnel Beaker settlers created considerable areas where they mixed with settlers from early phase CII of the Tripolye culture. Their coexistence, lasting there for many generations, resulted in deepening the interactions between members of both cultural complexes and in developing entirely new forms of relationships.

    (…)

    The intensifying interaction between the communities of the Funnel Beaker culture and the Tripolye culture, early phase CII, in the 2nd half of the 4th millennium BC (horizon 4) was an introduction to, and perhaps a condition for, even more frequent contacts in the next period, the first centuries of the 3rd millennium BC (horizon 5). In that case, the interaction was mainly triggered by multidirectional migrations of larger human groups, involving a significant part of the population of all cultures from the areas discussed here. The Tripolye communities of younger phase CII settled Volhynia, its eastern areas in particular, from the south and the south-east, while groups representing the younger phases of the Funnel Beaker culture (Gródek 2), often with Baden features (Bronocice IV and V), moved increasingly into the western part of that region. The Yamna communities expanded along the lower and central Danube to the west, whereas the populations of the late phase of the Baden culture took the opposite direction, reaching as far as Kiev in the northeast, and contributed to the cultural character of the Sofievka group.

    The communities of the Globular Amphora culture migrated from the north-west, from eastern Poland, towards the Danube Delta and as far as the Dnieper in the east, while the multicultural population from the areas around the mouth of the Danube moved in the opposite direction, carrying with them cultural elements from Thrace, or even from Anatolia. Some of them returned to the starting point (to south-eastern Poland), bringing with them a new form of pottery, so-called Thuringian amphora, borrowed from the late Trypillian Usatovo group. This resulted in origins of the Złota culture, a cultural phenomenon that gave beginnings to the oldest Corded Ware culture. Inventories of both cultures contained the already mentioned Thuringian amphorae.

    lublin-volhynia-alexandria
    Graves and cemeteries with gender differentiated burial rites in Europe; A — Hamangia and Varna cultures; B — Tiszapolgar and Bodrogkeresztur cultures; C — Lublin-Volhynia culture; D — Brześć Kujawski culture. Added star symbol with approximate location of the Alexandria site. Modified image from Sławomir Kadrow (2016)

    Here is a more recent assessment (2017) of the latest radiocarbon analyses of the available settlements of cultures in the area, published by Marek Novak (announced in a previous post), which gives the following data on Wyciąże-Złotniki, Lublin-Volhynia, and Wyciąże/Niedźwiedź:

    This scheme unambiguously suggests both the overlapping and contiguous nature of cultural development in western Lesser Poland within the Middle Neolithic. The basic elements of this development are: 1) the Wyciąże-Złotniki group and the Lublin-Volhynian culture, until c. 3650–3550 cal BC; 2) the Funnel Beaker culture proper, which appeared c. 3750–3700c al BC, and existed until c. 3300–3250 cal BC, perhaps accompanied by the Wyciąże/Niedźwiedź materials from c. 3650–3550 cal BC; and 3) the Baden culture and the Funnel Beaker/Baden assemblages from 3100 and 3300–3100 cal BC, respectively, until 2850–2750 and 2850 cal BC, with – possibly – later Funnel Beaker culture and Wyciąże/ Niedźwiedź materials, existing until c. 3100 cal BC.

    The final scheme shows that the Lublin-Volhynian culture could have coincided with the Wyciąże-Złotniki group. In view of the territorial relationship between them, relations from the point of view of material culture, primarily in the field of pottery, become particularly interesting. It is relatively easy to see clear similarities between these units. However, the most evident similarities apply only to some categories of ceramics, including, for example, vessels with Scheibenhenkel handles. What is more, in the period between the late 38th and early 36th centuries BC, the early Funnel Beaker and possibly early Baden influences are superimposed on this Lublin-Volhynian/Wyciąże-Złotniki ‘mix’.

    [About Corded Ware: The] development of this unit in central Europe, including western Lesser Poland, [] usually point to c. 2800 cal BC (Włodarczak 2006a). (…) the calibration curve makes it possible to alternatively refer several dates earlier than c. 3100 to c. 2850–2800 cal BC.

    Conclusion

    There is no direct archaeological link of Lublin-Volhynia-related groups with Corded Ware, beyond the fact that they shared homeland and Central European (‘steppe-related’) traits, as found in the Złota culture. But there is no direct link of Yamna with Corded Ware, either, whether in terms of culture or population.

    So, given the evident link of R1a-Z93 and steppe ancestry with the forest steppe ca. 4000 BC, the surrounding North Pontic areas in contact along the Dniester, Dnieper, Bug, and Prut are the best candidates for the appearance of R1a-Z283: steppe cultures to the south and south-west; sub-Neolithic (Comb Ware) groups to the north in the forest zone; and Eneolithic groups to the west and north-west.

    Seeing how ‘ancestral components’ and PCA cluster can change within a few generations, the question of the spread of R1a-Z645 subclades is still not settled by a single sample in Alexandria. However, based on the explosive expansions we are seeing from small territories, it would not be surprising to find R1a-Z93 and R1a-Z283 side by side in the same small area within the forest steppe.

    NOTE. An archaeological link may not mean anything relevant in genetics, especially – as in this case – when no clear migration event has been traced to date. We have seen exactly that with Kristiansen’s proposal of a long-term genetic admixture of Yamna with Trypillia and GAC to form Corded Ware, which didn’t happen. The cultural and ideological connection of CWC peoples with Lublin-Volhynian tradition may be similar to the already known connection with GAC, and not mean anything in genetic finds; at least in terms of Y-DNA haplogroup.

    We believed in the 2000s that Corded Ware represented the expansion of Late Proto-Indo-European, because the modern map of haplogroup R1a showed a distribution similar to how we thought the European and Indo-Iranian languages could have expanded. This has been proven wrong, and that’s what ancient DNA is for; not to confirm the own ideas or models, or to support modern ideologies.

    It is impossible to know if R1a-Z645 comes from the steppe, forest steppe, or forest zone, until more samples are published. I don’t think there will be any big surprise, no matter where it is eventually found. By now, adding linguistic reconstruction to archaeological traits, and to the genetic data from Yamna and Corded Ware settlers, the only clear pattern is that patrilineal clans expanded, during the Final Eneolithic / Chalcolithic:

    • Late Proto-Indo-European with Yamna and R1b-L23 subclades, given the known genomic data from Khvalynsk, Yamna, Afanasevo, Bell Beaker, Catacomb, and Poltavka—Sintashta/Potapovka.
    • Uralic with Corded Ware and R1a-Z645 subclades, given the known genomic data from Fennoscandia and the Forest Zone.

    Everything else is just wishful thinking at this moment.

    Related

    Sintashta diet and economy based on domesticated animal products and wild resources

    indo-iranian-sintashta-uralic-migrations

    New paper (behind paywall) Bronze Age diet and economy: New stable isotope data from the Central Eurasian steppes (2100-1700 BC), by Hanks et al. J. Arch. Sci (2018) 97:14-25.

    Interesting excerpts (emphasis mine):

    Previous research at KA-5 was carried out by A. V. Epimakhov in 1994–1995 and 2002–2003 and resulted in the excavation of three Sintashta culture barrows (kurgans) that produced 35 burial pits and a reported 100 skeletons (Epimakhov, 2002, 2005; Epimakhov et al., 2005; Razhev and Epimakhov, 2004). Seven AMS radiocarbon dates on human remains from the cemetery yielded a date range of 2040–1730 cal. BC (2 sigma), which placed the cemetery within the Sintashta phase of the regional Bronze Age (Hanks et al., 2007). Twelve recently obtained AMS radiocarbon dates, taken from short-lived wood and charcoal species recovered from the Kamennyi Ambar settlement, have provided a date range of 2050–1760 cal. BC (2 sigma). Importantly, these dates confirm the close chronological relationship between the settlement and cemetery for the Middle Bronze Age phase and discount the possibility of a freshwater reservoir effect influencing the earlier dating of the human remains from the Kamennyi Ambar 5 cemetery (Epimakhov and Krause, 2013).

    Sintashta cemeteries frequently yield fewer than six barrow complexes and the number of skeletons recovered represents a fraction of the total population that would have inhabited the settlements (Judd et al., 2018; Johnson and Hanks, 2012). Scholars have suggested that only members of higher status were afforded interment in these cemeteries and that principles of social organization structured placement of individuals within central or peripheral grave pits (Fig. 2) (Koryakova and Epimakhov, 2007: 75–81). In comparison with other Sintashta cemeteries that have been excavated, KA-5 provides one of the largest skeletal inventories currently available for study.

    kamenniy-ambar
    Upper – plan of Kamennyi Ambar settlement and cemetery; Lower – plan views of Kurgan 2 and Kurgan 4 from KA-5 Cemetery (kurgan plans redrawn from Epimakhov, 2005: 10, 79).

    The KA-5 (MBA), Bestamak (MBA) and Lisakovsk (LBA) datasets exhibited a wide range of δ13C and δ15N values for both humans and herbivores (Figs. 5 and 6 & Table 8). This diversity in isotopic signals may be evident for a variety of reasons. For example, the range of values may be associated with a broad spectrum of C3 and C4 plant diversity in the ancient site biome or herbivore grazing patterns that included more diverse environmental niche areas in the microregion around the sampled sites. Herders also may have chosen to graze animals in niche areas due to recognized territorial boundaries between settlements and concomitant patterns of mobility. Importantly, data from Bolshekaragansky represents humans with lower δ15N values that are more closely associated with δ15N values of the sampled domestic herbivores (Fig. 6). When the archaeological evidence from associated settlement sites is considered, Bolshekaragansky, Bestamak, Lisakovsk and KA-5 have been assumed to represent populations that shared similar forms of pastoral subsistence economies with significant dietary reliance upon domesticated herbivore meat and milk. Human diets have δ13C values closely related to those of local herbivores in terms of the slope of the trendline and range of values (Fig. 6). Comparatively, the cemetery of Bolshekaragansky (associated with the Arkaim settlement) reflects individuals with trend lines closer to those of cattle and caprines and may indicate a stronger reliance on subsistence products from these species with less use of wild riverine and terrestrial resources. The site of Čiča is significantly different with elevated human δ15N isotopic values and depleted δ13C values indicative of a subsistence regime more closely associated with the consumption of freshwater resources, such as fish. The stable isotopic data in this instance is strongly supported by zooarchaeological evidence recovered from the Čiča settlement and also is indicative of significant diachronic changes from the LBA phases through the Iron Age (Fig. 6).

    kamenniy-ambar-isotopic-chicha-lisakovsk-bestamark
    Regional analysis and comparison of stable isotope results from humans (adults) and animals recovered from MBA and LBA cemeteries in the Southern Urals (Kamennyi Ambar 5 & Bolshekaragansky) northwestern Kazakhstan (Liskovsk & Bestamak) and southwestern Siberia (Čiča).

    Conclusion

    (…) The isotopic results from KA-5, and recent botanical and archaeological studies from the Kamennyi Ambar settlement, have not produced any evidence for the production or use of domesticated cereals. While this does not definitively answer the question as to whether Sintashta populations engaged in agriculture and/or utilized agricultural products, it does call into serious question the ubiquity of such practices across the region and correlates well with recent archaeological, bioarchaeological, and isotopic studies of human and animal remains from the Southwestern Urals region and Samara Basin (Anthony et al., 2016; Schulting and Richards, 2016). The results substantiate a broader spectrum subsistence diet that in addition to the use of domesticated animal products also incorporated wild flora, wild fauna and fish species. These findings further demonstrate the need to draw on multiple methods and datasets for the reconstruction of late prehistoric subsistence economies in the Eurasian steppes. When possible, this should include datasets from both settlements and associated cemeteries.

    Variability in subsistence practices in the central steppes region has been highlighted by other scholars and appears to be strongly correlated with local environmental conditions and adaptations. More comprehensive isotopic studies of human, animal and fish remains are of fundamental importance to achieve more robust and empirically substantiated reconstructions of local biomes and to aid the refinement of regional and micro-regional economic subsistence models. This will allow for a fuller understanding of key diachronic shifts within dietary trends and highlight regional variation of such practices. Ultimately, this will more effectively index the diverse social and environmental variables that contributed to late prehistoric lifeways and the economic strategies employed by these early steppe communities.

    Social organization of Sintashta-Petrovka

    Interesting to remember now the recent article by Chechushkov et al. (2018) about the social stratificaton in Sintashta-Petrovka, and how it must have caused the long-lasting, peaceful admixture process that led to the known almost full replacement of R1b-L23 (mostly R1b-Z2103) by R1a-Z645 (mostly R1a-Z93) subclades in the North Caspian steppe, coinciding with the formation of the Proto-Indo-Iranian community and language (read my thoughts on this after Damgaard et al. 2018).

    Here is another relevant excerpt from Chechushkov et al. (2018), translated from Russian:

    settlement-kamenniy-ambar
    The map of the settlement of Kamennyi Ambar with excavations, soil cores, and test pits. Legend: a — cuts of the sides of ravines; b — test pits of 2015—2017; c — test pits of 2004; d — soil-science samples with a cultural layer; e — soil-science samples without cultural layer; f — borders of archaeological sites (interpretation of the plan of magnetic anomalies); g — boundaries of excavated structures (1, 2, 4, 5, 7 — Sintashta-Petrovka culture; 3, 6 — Srubnaya-Alakul’ culture).

    The analysis suggests that the Sintashta-Petrovka societies had a certain degree of social stratification, expressed both in selective funeral rituals and in the significant difference in lifestyle between the elite and the immediate producers of the product. The data obtained during the field study suggest that the elite lived within the fortifications, while a part of the population was outside their borders, on seasonal sites, and also in stationary non-fortified settlements. Probably, traces of winter settlements can be found near the walls, while the search for summer ones is a task of a separate study. From our point of view, the elite of the early complex societies of the Bronze Age of the Eurasian steppe originated as a response to environmental challenges that created risks for cattle farming. The need to adapt the team to the harsh and changing climatic conditions created a precedent in which the settled collectives of pastoralists – hunter-gatherers could afford the content and magnificent posthumous celebration of people and their families who were not engaged in the production or extraction of an immediate product. In turn, representatives of this social group directed their efforts to the adoption of socially significant decisions, the organization of collective labor in the construction of settlement-shelters and risked their lives, acting as military leaders and fighters.

    Thus, in Bronze Age steppe societies, the formation, development and decline of social complexity are directly related to the intensity of pastoralism and the development of new territories, where collectives had to survive in part a new ecological niche. At the same time, some members of the collective took upon themselves the organization of the collective’s life, receiving in return a privileged status. As soon as the conditions of the environment and management changed, the need for such functions was virtually eliminated, as a result of which the privileged members of society dissolved into the general mass, having lost their lifetime status and the right to be allocated posthumously.

    Also interesting for the MLBA haplogroup bottleneck in the region is the paper by Judd et al. (2017) about fast life history in Early Indo-Iranian territories.

    On the arrival of haplogroup N1c1-L392

    Regarding the special position of the Chicha-1 samples in the change of diet and economy during the Iron Age, it is by now well known that haplogroup N must have arrived quite late to North-East Europe, and possibly not linked with the expansion of Siberian ancestry – or linked only with some waves of Siberian ancestry in the region, but not all of them. See Lamnidis et al. (2018) for more on this.

    Also, the high prevalence of haplogroup N among Fennic and Siberian (Samoyedic) peoples is not related: while the latter reflects probably the native (Palaeo-Siberian) population that acquired their Uralic branch during the MLBA expansions associated with Corded Ware groups, the former points to the expansion of Fennic peoples into Saamic territory (i.e. after the Fenno-Saamic split) as the most likely period of expansion of N1c1-L392 subclades (see known recent bottlenecks among Finns, and on Proto-Finnic dialectalization).

    Probably related to these late incomers are the ancient DNA samples from the Sargat culture during the Iron Age, which show the arrival of N subclades in the region, replacing most – but not all – R1a lineages (see Pilipenko et al. (2017)). Regarding the site of Chicha-1, the following are relevant excerpts about the cultural situation that could have allowed for such stepped, diachronic admixture events in Northern Eurasia, from the paper Stages in the settlement history of Chicha-1: The Results of ceramic analysis, by Molodin et al. (2008):

    The stratigraphic data allows us to make the following inference: originally, the settlement was inhabited by people bearing the Late Irmen culture. Later, the people of the Baraba trend of the Suzgun culture arrived at the site (Molodin, Chemyakina, 1984: 40–62). The Baraba-Suzgun pottery demonstrates features similar to what has been reported from the sites of the transitional Bronze to Iron Age culture in the pre-taiga and taiga zones in the Irtysh basin (Potemkina, Korochkova, Stefanov, 1995; Polevodov, 2003). The major morphological types are slightly and well-profiled pots with a short throat. (…)

    chicha-irmen-tagar-baraba-forest-siberian
    Map showing the location of Chicha-1.

    During the following stage of development of the site, the Chicha population increased with people who practiced cultures others than those noted in earlier collections. The ceramic materials from layer 5 provide data on possible relationships. In addition to migrants from northwestern regions practicing the Suzgun culture, there were people bearing the Krasnoozerka culture. Available data also suggests that people from the northern taiga region with the Atlym culture visited the site.

    However, people from the west and southwest represent the greatest migration to the region under study. In all likelihood they moved from the northern forest-steppe zone of modern Kazakhstan and practiced the Berlik culture. The spatial distribution analysis of the Chicha-1 site suggests that the Berlik population was rather large. The Berlik people formed a single settlement with the indigenous Late Irmen people and apparently waged certain common economic activities, but preserved their own ethnic and cultural specificity (Molodin, Parzinger, 2006: 49–55). Judging by the data on the chronological sequence of deposited artifacts, migration took place roughly synchronously, hence Chicha-1 became a real cultural and economic center.

    (…) In sum, the noted distribution of ceramics over the culture-bearing horizons suggests that beginning with layer 5, traditions of ceramic manufacture described above were practiced, hence the relevant population inhabited the site. Apparently, there were two predominant traditions: the local Late Irmen cultural tradition and the Berlik tradition, which was brought by the immigrants. The Late Irmen people mostly populated the citadel, while the Berlik immigrants inhabited the areas to the east and the north of the citadel.

    The stratigraphic data also suggest that the Early Sargat ceramics emerged at the site likely as a part of the Late Irmen tradition (…) Early Sargat ceramics is apparently linked with the Late Irmen tradition. Artifacts associated with the Sargat culture proper have been found in several areas of Chicha-1 (e.g., in excavation area 16). However, the Sargat people appeared at the site after it had been abandoned by its previous inhabitants, and had eventually become completely desolated. This happened no earlier than the 6th cent. BC, possibly in the 5th cent. BC (in fact, the radiocarbon dates for that horizon are close to the turn of the Christian era).

    Related