Yamnaya ancestry: mapping the Proto-Indo-European expansions

steppe-ancestry-expansion-europe

The latest papers from Ning et al. Cell (2019) and Anthony JIES (2019) have offered some interesting new data, supporting once more what could be inferred since 2015, and what was evident in population genomics since 2017: that Proto-Indo-Europeans expanded under R1b bottlenecks, and that the so-called “Steppe ancestry” referred to two different components, one – Yamnaya or Steppe_EMBA ancestry – expanding with Pro-Indo-Europeans, and the other one – Corded Ware or Steppe_MLBA ancestry – expanding with Uralic speakers.

The following maps are based on formal stats published in the papers and supplementary materials from 2015 until today, mainly on Wang et al. (2018 & 2019), Mathieson et al. (2018) and Olalde et al. (2018), and others like Lazaridis et al. (2016), Lazaridis et al. (2017), Mittnik et al. (2018), Lamnidis et al. (2018), Fernandes et al. (2018), Jeong et al. (2019), Olalde et al. (2019), etc.

NOTE. As in the Corded Ware ancestry maps, the selected reports in this case are centered on the prototypical Yamnaya ancestry vs. other simplified components, so everything else refers to simplistic ancestral components widespread across populations that do not necessarily share any recent connection, much less a language. In fact, most of the time they clearly didn’t. They can be interpreted as “EHG that is not part of the Yamnaya component”, or “CHG that is not part of the Yamnaya component”. They can’t be read as “expanding EHG people/language” or “expanding CHG people/language”, at least no more than maps of “Steppe ancestry” can be read as “expanding Steppe people/language”. Also, remember that I have left the default behaviour for color classification, so that the highest value (i.e. 1, or white colour) could mean anything from 10% to 100% depending on the specific ancestry and period; that’s what the legend is for… But, fere libenter homines id quod volunt credunt.

Sections:

  1. Neolithic or the formation of Early Indo-European
  2. Eneolithic or the expansion of Middle Proto-Indo-European
  3. Chalcolithic / Early Bronze Age or the expansion of Late Proto-Indo-European
  4. European Early Bronze Age and MLBA or the expansion of Late PIE dialects

1. Neolithic

Anthony (2019) agrees with the most likely explanation of the CHG component found in Yamnaya, as derived from steppe hunter-fishers close to the lower Volga basin. The ultimate origin of this specific CHG-like component that eventually formed part of the Pre-Yamnaya ancestry is not clear, though:

The hunter-fisher camps that first appeared on the lower Volga around 6200 BC could represent the migration northward of un-admixed CHG hunter-fishers from the steppe parts of the southeastern Caucasus, a speculation that awaits confirmation from aDNA.

neolithic-chg-ancestry
Natural neighbor interpolation of CHG ancestry among Neolithic populations. See full map.

The typical EHG component that formed part eventually of Pre-Yamnaya ancestry came from the Middle Volga Basin, most likely close to the Samara region, as shown by the sampled Samara hunter-gatherer (ca. 5600-5500 BC):

After 5000 BC domesticated animals appeared in these same sites in the lower Volga, and in new ones, and in grave sacrifices at Khvalynsk and Ekaterinovka. CHG genes and domesticated animals flowed north up the Volga, and EHG genes flowed south into the North Caucasus steppes, and the two components became admixed.

neolithic-ehg-ancestry
Natural neighbor interpolation of EHG ancestry among Neolithic populations. See full map.

To the west, in the Dnieper-Dniester area, WHG became the dominant ancestry after the Mesolithic, at the expense of EHG, revealing a likely mating network reaching to the north into the Baltic:

Like the Mesolithic and Neolithic populations here, the Eneolithic populations of Dnieper-Donets II type seem to have limited their mating network to the rich, strategic region they occupied, centered on the Rapids. The absence of CHG shows that they did not mate frequently if at all with the people of the Volga steppes (…)

neolithic-whg-ancestry
Natural neighbor interpolation of WHG ancestry among Neolithic populations. See full map.

North-West Anatolia Neolithic ancestry, proper of expanding Early European farmers, is found up to border of the Dniester, as Anthony (2007) had predicted.

neolithic-anatolia-farmer-ancestry
Natural neighbor interpolation of Anatolia Neolithic ancestry among Neolithic populations. See full map.

2. Eneolithic

From Anthony (2019):

After approximately 4500 BC the Khvalynsk archaeological culture united the lower and middle Volga archaeological sites into one variable archaeological culture that kept domesticated sheep, goats, and cattle (and possibly horses). In my estimation, Khvalynsk might represent the oldest phase of PIE.

(…) this middle Volga mating network extended down to the North Caucasian steppes, where at cemeteries such as Progress-2 and Vonyuchka, dated 4300 BC, the same Khvalynsk-type ancestry appeared, an admixture of CHG and EHG with no Anatolian Farmer ancestry, with steppe-derived Y-chromosome haplogroup R1b. These three individuals in the North Caucasus steppes had higher proportions of CHG, overlapping Yamnaya. Without any doubt, a CHG population that was not admixed with Anatolian Farmers mated with EHG populations in the Volga steppes and in the North Caucasus steppes before 4500 BC. We can refer to this admixture as pre-Yamnaya, because it makes the best currently known genetic ancestor for EHG/CHG R1b Yamnaya genomes.

From Wang et al (2019):

Three individuals from the sites of Progress 2 and Vonyuchka 1 in the North Caucasus piedmont steppe (‘Eneolithic steppe’), which harbour EHG and CHG related ancestry, are genetically very similar to Eneolithic individuals from Khvalynsk II and the Samara region. This extends the cline of dilution of EHG ancestry via CHG-related ancestry to sites immediately north of the Caucasus foothills

eneolithic-pre-yamnaya-ancestry
Natural neighbor interpolation of Pre-Yamnaya ancestry among Neolithic populations. See full map. This map corresponds roughly to the map of Khvalynsk-Novodanilovka expansion, and in particular to the expansion of horse-head pommel-scepters (read more about Khvalynsk, and specifically about horse symbolism)

NOTE. Unpublished samples from Ekaterinovka have been previously reported as within the R1b-L23 tree. Interestingly, although the Varna outlier is a female, the Balkan outlier from Smyadovo shows two positive SNP calls for hg. R1b-M269. However, its poor coverage makes its most conservative haplogroup prediction R-M343.

The formation of this Pre-Yamnaya ancestry sets this Volga-Caucasus Khvalynsk community apart from the rest of the EHG-like population of eastern Europe.

eneolithic-ehg-ancestry
Natural neighbor interpolation of non-Pre-Yamnaya EHG ancestry among Eneolithic populations. See full map.

Anthony (2019) seems to rely on ADMIXTURE graphics when he writes that the late Sredni Stog sample from Alexandria shows “80% Khvalynsk-type steppe ancestry (CHG&EHG)”. While this seems the most logical conclusion of what might have happened after the Suvorovo-Novodanilovka expansion through the North Pontic steppes (see my post on “Steppe ancestry” step by step), formal stats have not confirmed that.

In fact, analyses published in Wang et al. (2019) rejected that Corded Ware groups are derived from this Pre-Yamnaya ancestry, a reality that had been already hinted in Narasimhan et al. (2018), when Steppe_EMBA showed a poor fit for expanding Srubna-Andronovo populations. Hence the need to consider the whole CHG component of the North Pontic area separately:

eneolithic-chg-ancestry
Natural neighbor interpolation of non-Pre-Yamnaya CHG ancestry among Eneolithic populations. See full map. You can read more about population movements in the late Sredni Stog and closer to the Proto-Corded Ware period.

NOTE. Fits for WHG + CHG + EHG in Neolithic and Eneolithic populations are taken in part from Mathieson et al. (2019) supplementary materials (download Excel here). Unfortunately, while data on the Ukraine_Eneolithic outlier from Alexandria abounds, I don’t have specific data on the so-called ‘outlier’ from Dereivka compared to the other two analyzed together, so these maps of CHG and EHG expansion are possibly showing a lesser distribution to the west than the real one ca. 4000-3500 BC.

eneolithic-whg-ancestry
Natural neighbor interpolation of WHG ancestry among Eneolithic populations. See full map.

Anatolia Neolithic ancestry clearly spread to the east into the north Pontic area through a Middle Eneolithic mating network, most likely opened after the Khvalynsk expansion:

eneolithic-anatolia-farmer-ancestry
Natural neighbor interpolation of Anatolia Neolithic ancestry among Eneolithic populations. See full map.
eneolithic-iran-chl-ancestry
Natural neighbor interpolation of Iran Chl. ancestry among Eneolithic populations. See full map.

Regarding Y-chromosome haplogroups, Anthony (2019) insists on the evident association of Khvalynsk, Yamnaya, and the spread of Pre-Yamnaya and Yamnaya ancestry with the expansion of elite R1b-L754 (and some I2a2) individuals:

eneolithic-early-y-dna
Y-DNA haplogroups in West Eurasia during the Early Eneolithic in the Pontic-Caspian steppes. See full map, and see culture, ADMIXTURE, Y-DNA, and mtDNA maps of the Early Eneolithic and Late Eneolithic.

3. Early Bronze Age

Data from Wang et al. (2019) show that Corded Ware-derived populations do not have good fits for Eneolithic_Steppe-like ancestry, no matter the model. In other words: Corded Ware populations show not only a higher contribution of Anatolia Neolithic ancestry (ca. 20-30% compared to the ca. 2-10% of Yamnaya); they show a different EHG + CHG combination compared to the Pre-Yamnaya one.

eneolithic-steppe-best-fits
Supplementary Table 13. P values of rank=2 and admixture proportions in modelling Steppe ancestry populations as a three-way admixture of Eneolithic steppe Anatolian_Neolithic and WHG using 14 outgroups.
Left populations: Test, Eneolithic_steppe, Anatolian_Neolithic, WHG.
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.

Yamnaya Kalmykia and Afanasievo show the closest fits to the Eneolithic population of the North Caucasian steppes, rejecting thus sizeable contributions from Anatolia Neolithic and/or WHG, as shown by the SD values. Both probably show then a Pre-Yamnaya ancestry closest to the late Repin population.

wang-eneolithic-steppe-caucasus-yamnaya
Modelling results for the Steppe and Caucasus cluster. Admixture proportions based on (temporally and geographically) distal and proximal models, showing additional AF ancestry in Steppe groups and additional gene flow from the south in some of the Steppe groups as well as the Caucasus groups. See tables above. Modified from Wang et al. (2019). Within a blue square, Yamnaya-related groups; within a cyan square, Corded Ware-related groups. Green background behind best p-values. In red circle, SD of AF/WHG ancestry contribution in Afanasevo and Yamnaya Kalmykia, with ranges that almost include 0%.

EBA maps include data from Wang et al. (2018) supplementary materials, specifically unpublished Yamnaya samples from Hungary that appeared in analysis of the preprint, but which were taken out of the definitive paper. Their location among Yamnaya settlers from Hungary is speculative, although most uncovered kurgans in Hungary are concentrated in the Tisza-Danube interfluve.

eba-yamnaya-ancestry
Natural neighbor interpolation of Pre-Yamnaya ancestry among Early Bronze Age populations. See full map. This map corresponds roughly with the known expansion of late Repin/Yamnaya settlers.

The Y-chromosome bottleneck of elite males from Proto-Indo-European clans under R1b-L754 and some I2a2 subclades, already visible in the Khvalynsk sampling, became even more noticeable in the subsequent expansion of late Repin/early Yamnaya elites under R1b-L23 and I2a-L699:

chalcolithic-early-y-dna
Y-DNA haplogroups in West Eurasia during the Yamnaya expansion. See full map and maps of cultures, ADMIXTURE, Y-DNA, and mtDNA of the Early Chalcolithic and Yamnaya Hungary.

Maps of CHG, EHG, Anatolia Neolithic, and probably WHG show the expansion of these components among Corded Ware-related groups in North Eurasia, apart from other cultures close to the Caucasus:

NOTE. For maps with actual formal stats of Corded Ware ancestry from the Early Bronze Age to the modern times, you can read the post Corded Ware ancestry in North Eurasia and the Uralic expansion.

eba-chg-ancestry
Natural neighbor interpolation of non-Pre-Yamnaya CHG ancestry among Early Bronze Age populations. See full map.
eba-ehg-ancestry
Natural neighbor interpolation of non-Pre-Yamnaya EHG ancestry among Early Bronze Age populations. See full map.
eba-whg-ancestry
Natural neighbor interpolation of WHG ancestry among Early Bronze Age populations. See full map.
eba-anatolia-farmer-ancestry
Natural neighbor interpolation of Anatolia Neolithic ancestry among Early Bronze Age populations. See full map.
eba-iran-chl-ancestry
Natural neighbor interpolation of Iran Chl. ancestry among Early Bronze Age populations. See full map.

4. Middle to Late Bronze Age

The following maps show the most likely distribution of Yamnaya ancestry during the Bell Beaker-, Balkan-, and Sintashta-Potapovka-related expansions.

4.1. Bell Beakers

The amount of Yamnaya ancestry is probably overestimated among populations where Bell Beakers replaced Corded Ware. A map of Yamnaya ancestry among Bell Beakers gets trickier for the following reasons:

  • Expanding Repin peoples of Pre-Yamnaya ancestry must have had admixture through exogamy with late Sredni Stog/Proto-Corded Ware peoples during their expansion into the North Pontic area, and Sredni Stog in turn had probably some Pre-Yamnaya admixture, too (although they don’t appear in the simplistic formal stats above). This is supported by the increase of Anatolia farmer ancestry in more western Yamna samples.
  • Later, Yamnaya admixed through exogamy with Corded Ware-like populations in Central Europe during their expansion. Even samples from the Middle to Upper Danube and around the Lower Rhine will probably show increasing contributions of Steppe_MLBA, at the same time as they show an increasing proportion of EEF-related ancestry.
  • To complicate things further, the late Corded Ware Espersted family (from ca. 2500 BC or later) shows, in turn, what seems like a recent admixture with Yamnaya vanguard groups, with the sample of highest Yamnaya ancestry being the paternal uncle of other individuals (all of hg. R1a-M417), suggesting that there might have been many similar Central European mating networks from the mid-3rd millennium BC on, of (mainly) Yamnaya-like R1b elites displaying a small proportion of CW-like ancestry admixing through exogamy with Corded Ware-like peoples who already had some Yamnaya ancestry.
mlba-yamnaya-ancestry
Natural neighbor interpolation of Yamnaya ancestry among Middle to Late Bronze Age populations (Esperstedt CWC site close to BK_DE, label is hidden by BK_DE_SAN). See full map. You can see how this map correlated with the map of Late Copper Age migrations and Yamanaya into Bell Beaker expansion.

NOTE. Terms like “exogamy”, “male-driven migration”, and “sex bias”, are not only based on the Y-chromosome bottlenecks visible in the different cultural expansions since the Palaeolithic. Despite the scarce sampling available in 2017 for analysis of “Steppe ancestry”-related populations, it appeared to show already a male sex bias in Goldberg et al. (2017), and it has been confirmed for Neolithic and Copper Age population movements in Mathieson et al. (2018) – see Supplementary Table 5. The analysis of male-biased expansion of “Steppe ancestry” in CWC Esperstedt and Bell Beaker Germany is, for the reasons stated above, not very useful to distinguish their mutual influence, though.

Based on data from Olalde et al. (2019), Bell Beakers from Germany are the closest sampled ones to expanding East Bell Beakers, and those close to the Rhine – i.e. French, Dutch, and British Beakers in particular – show a clear excess “Steppe ancestry” due to their exogamy with local Corded Ware groups:

Only one 2-way model fits the ancestry in Iberia_CA_Stp with P-value>0.05: Germany_Beaker + Iberia_CA. Finding a Bell Beaker-related group as a plausible source for the introduction of steppe ancestry into Iberia is consistent with the fact that some of the individuals in the Iberia_CA_Stp group were excavated in Bell Beaker associated contexts. Models with Iberia_CA and other Bell Beaker groups such as France_Beaker (P-value=7.31E-06), Netherlands_Beaker (P-value=1.03E-03) and England_Beaker (P-value=4.86E-02) failed, probably because they have slightly higher proportions of steppe ancestry than the true source population.

olalde-iberia-chalcolithic

The exogamy with Corded Ware-like groups in the Lower Rhine Basin seems at this point undeniable, as is the origin of Bell Beakers around the Middle-Upper Danube Basin from Yamnaya Hungary.

To avoid this excess “Steppe ancestry” showing up in the maps, since Bell Beakers from Germany pack the most Yamnaya ancestry among East Bell Beakers outside Hungary (ca. 51.1% “Steppe ancestry”), I equated this maximum with BK_Scotland_Ach (which shows ca. 61.1% “Steppe ancestry”, highest among western Beakers), and applied a simple rule of three for “Steppe ancestry” in Dutch and British Beakers.

NOTE. Formal stats for “Steppe ancestry” in Bell Beaker groups are available in Olalde et al. (2018) supplementary materials (PDF). I didn’t apply this adjustment to Bk_FR groups because of the R1b Bell Beaker sample from the Champagne/Alsace region reported by Samantha Brunel that will pack more Yamnaya ancestry than any other sampled Beaker to date, hence probably driving the Yamnaya ancestry up in French samples.

The most likely outcome in the following years, when Yamnaya and Corded Ware ancestry are investigated separately, is that Yamnaya ancestry will be much lower the farther away from the Middle and Lower Danube region, similar to the case in Iberia, so the map above probably overestimates this component in most Beakers to the north of the Danube. Even the late Hungarian Beaker samples, who pack the highest Yamnaya ancestry (up to 75%) among Beakers, represent likely a back-migration of Moravian Beakers, and will probably show a contribution of Corded Ware ancestry due to the exogamy with local Moravian groups.

Despite this decreasing admixture as Bell Beakers spread westward, the explosive expansion of Yamnaya R1b male lineages (in words of David Reich) and the radical replacement of local ones – whether derived from Corded Ware or Neolithic groups – shows the true extent of the North-West Indo-European expansion in Europe:

chalcolithic-late-y-dna
Y-DNA haplogroups in West Eurasia during the Bell Beaker expansion. See full map and see maps of cultures, ADMIXTURE, Y-DNA, and mtDNA of the Late Copper Age and of the Yamnaya-Bell Beaker transition.

4.2. Palaeo-Balkan

There is scarce data on Palaeo-Balkan movements yet, although it is known that:

  1. Yamnaya ancestry appears among Mycenaeans, with the Yamnaya Bulgaria sample being its best current ancestral fit;
  2. the emergence of steppe ancestry and R1b-M269 in the eastern Mediterranean was associated with Ancient Greeks;
  3. Thracians, Albanians, and Armenians also show R1b-M269 subclades and “Steppe ancestry”.

4.3. Sintashta-Potapovka-Filatovka

Interestingly, Potapovka is the only Corded Ware derived culture that shows good fits for Yamnaya ancestry, despite having replaced Poltavka in the region under the same Corded Ware-like (Abashevo) influence as Sintashta.

This proves that there was a period of admixture in the Pre-Proto-Indo-Iranian community between CWC-like Abashevo and Yamnaya-like Catacomb-Poltavka herders in the Sintashta-Potapovka-Filatovka community, probably more easily detectable in this group because of the specific temporal and geographic sampling available.

srubnaya-yamnaya-ehg-chg-ancestry
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.

Srubnaya ancestry shows a best fit with non-Pre-Yamnaya ancestry, i.e. with different CHG + EHG components – possibly because the more western Potapovka (ancestral to Proto-Srubnaya Pokrovka) also showed good fits for it. Srubnaya shows poor fits for Pre-Yamnaya ancestry probably because Corded Ware-like (Abashevo) genetic influence increased during its formation.

On the other hand, more eastern Corded Ware-derived groups like Sintashta and its more direct offshoot Andronovo show poor fits with this model, too, but their fits are still better than those including Pre-Yamnaya ancestry.

mlba-ehg-ancestry
Natural neighbor interpolation of non-Pre-Yamnaya EHG ancestry among Middle to Late Bronze Age populations. See full map.
mlba-chg-ancestry
Natural neighbor interpolation of non-Pre-Yamnaya CHG ancestry among Middle to Late Bronze Age populations. See full map.
mlba-anatolia-farmer-ancestry
Natural neighbor interpolation of Anatolia Neolithic ancestry among Middle to Late Bronze Age populations. See full map.
mlba-iran-chl-ancestry
Natural neighbor interpolation of Iran Chl. ancestry among Middle to Late Bronze Age populations. See full map.

NOTE For maps with actual formal stats of Corded Ware ancestry from the Early Bronze Age to the modern times, you should read the post Corded Ware ancestry in North Eurasia and the Uralic expansion instead.

The bottleneck of Proto-Indo-Iranians under R1a-Z93 was not yet complete by the time when the Sintashta-Potapovka-Filatovka community expanded with the Srubna-Andronovo horizon:

early-bronze-age-y-dna
Y-DNA haplogroups in West Eurasia during the European Early Bronze Age. See full map and see maps of cultures, ADMIXTURE, Y-DNA, and mtDNA of the Early Bronze Age.

4.4. Afanasevo

At the end of the Afanasevo culture, at least three samples show hg. Q1a2-M25 (ca. 2900-2500 BC), which seemed to point to a resurgence of local lineages, despite continuity of the prototypical Pre-Yamnaya ancestry. On the other hand, Anthony (2019) makes this cryptic statement:

Yamnaya men were almost exclusively R1b, and pre-Yamnaya Eneolithic Volga-Caspian-Caucasus steppe men were principally R1b, with a significant Q1a minority.

Since the only available samples from the Khvalynsk community are R1b (x3), Q1a(x1), and R1a(x1), it seems strange that Anthony would talk about a “significant minority”, unless Q1a will pop up in some more individuals of those ca. 30 new to be published. Because he also mentions I2a2 as appearing in one elite burial, it seems Q1a (like R1a-M459) will not appear under elite kurgans, although it is still possible that hg. Q1a was involved in the expansion of Afanasevo to the east.

middle-bronze-age-y-dna
Y-DNA haplogroups in West Eurasia during the Middle Bronze Age. See full map and see maps of cultures, ADMIXTURE, Y-DNA, and mtDNA of the Middle Bronze Age and the Late Bronze Age.

Okunevo, which replaced Afanasevo in the Altai region, shows a majority of hg. Q1a2-M25, and at least one Q1a1-B284, but also some R1b-M269 samples proper of Afanasevo, suggesting partial genetic continuity.

NOTE. Other sampled Siberian populations clearly show a variety of Q subclades that likely expanded during the Palaeolithic, such as Baikal EBA samples from Ust’Ida and Shamanka with a majority of Q1a2-M25 (in particular Q1a2-L712), and hg. Q reported from Elunino, Sagsai, Khövsgöl, and also among peoples of the Srubna-Andronovo horizon (the Krasnoyarsk MLBA outlier), and in Karasuk. Q1a-M25 was earlier found in a Baltic hunter-gatherer, which supports a widespread distribution of Q1a2 and Q1a1 in North Eurasia during the Neolithic and Bronze Age.

From Damgaard et al. Science (2018):

(…) in contrast to the lack of identifiable admixture from Yamnaya and Afanasievo in the CentralSteppe_EMBA, there is an admixture signal of 10 to 20% Yamnaya and Afanasievo in the Okunevo_EMBA samples, consistent with evidence of western steppe influence. This signal is not seen on the X chromosome (qpAdm P value for admixture on X 0.33 compared to 0.02 for autosomes), suggesting a male-derived admixture, also consistent with the fact that 1 of 10 Okunevo_EMBA males carries a R1b1a2a2 Y chromosome related to those found in western pastoralists. In contrast, there is no evidence of western steppe admixture among the more eastern Baikal region region Bronze Age (~2200 to 1800 BCE) samples.

This Yamnaya ancestry has been also recently found to be the best fit for the Iron Age population of Shirenzigou in Xinjiang – where Tocharian languages were attested centuries later – despite the haplogroup diversity acquired during their evolution, likely through an intermediate Chemurchek culture (see a recent discussion on the elusive Proto-Tocharians).

Haplogroup diversity seems to be common in Iron Age populations all over Eurasia, most likely due to the spread of different types of sociopolitical structures where alliances played a more relevant role in the expansion of peoples. A well-known example of this is the spread of Akozino warrior-traders in the whole Baltic region under a partial N1a-VL29-bottleneck associated with the emerging chiefdom-based systems under the influence of expanding steppe nomads.

early-iron-age-y-dna
Y-DNA haplogroups in West Eurasia during the Early Iron Age. See full map and see maps of cultures, ADMIXTURE, Y-DNA, and mtDNA of the Early Iron Age and Late Iron Age.

Surprisingly, then, Proto-Tocharians from Shirenzigou pack up to 74% Yamnaya ancestry, in spite of the 2,000 years that separate them from the demise of the Afanasevo culture. They show more Yamnaya ancestry than any other population by that time, being thus a sort of Late PIE fossils not only in their archaic dialect, but also in their genetic profile:

shirenzigou-afanasievo-yamnaya-andronovo-srubna-ulchi-han

The recent intrusion of Corded Ware-like ancestry, as well as the variable admixture with Siberian and East Asian populations, both point to the known intense Old Iranian and Old/Middle Chinese contacts. The scarce Proto-Samoyedic and Proto-Turkic loans in Tocharian suggest a rather loose, probably more distant connection with East Uralic and Altaic peoples from the forest-steppe and steppe areas to the north (read more about external influences on Tocharian).

Interestingly, both R1b samples, MO12 and M15-2 – likely of Asian R1b-PH155 branch – show a best fit for Andronovo/Srubna + Hezhen/Ulchi ancestry, suggesting a likely connection with Iranians to the east of Xinjiang, who later expanded as the Wusun and Kangju. How they might have been related to Huns and Xiongnu individuals, who also show this haplogroup, is yet unknown, although Huns also show hg. R1a-Z93 (probably most R1a-Z2124) and Steppe_MLBA ancestry, earlier associated with expanding Iranian peoples of the Srubna-Andronovo horizon.

All in all, it seems that prehistoric movements explained through the lens of genetic research fit perfectly well the linguistic reconstruction of Proto-Indo-European and Proto-Uralic.

Related

Corded Ware ancestry in North Eurasia and the Uralic expansion

uralic-clines-nganasan

Now that it has become evident that Late Repin (i.e. Yamnaya/Afanasevo) ancestry was associated with the migration of R1b-L23-rich Late Proto-Indo-Europeans from the steppe in the second half of the the 4th millennium BC, there’s still the question of how R1a-rich Uralic speakers of Corded Ware ancestry expanded , and how they spread their languages throughout North Eurasia.

Modern North Eurasians

I have been collecting information from the supplementary data of the latest papers on modern and ancient North Eurasian peoples, including Jeong et al. (2019), Saag et al. (2019), Sikora et al. (2018), or Flegontov et al. (2019), and I have tried to add up their information on ancestral components and their modern and historical distributions.

Fortunately, the current obsession with simplifying ancestry components into three or four general, atemporal groups, and the common use of the same ones across labs, make it very simple to merge data and map them.

Corded Ware ancestry

There is no doubt about the prevalent ancestry among Uralic-speaking peoples. A map isn’t needed to realize that, because ancient and modern data – like those recently summarized in Jeong et al. (2019) – prove it. But maps sure help visualize their intricate relationship better:

natural-modern-srubnaya-ancestry
Natural neighbor interpolation of Srubnaya ancestry among modern populations. See full map.
kriging-modern-srubnaya-ancestry
Kriging interpolation of Srubnaya ancestry among modern populations. See full map

Interestingly, the regions with higher Corded Ware-related ancestry are in great part coincident with (pre)historical Finno-Ugric-speaking territories:

uralic-languages-modern
Modern distribution of Uralic languages, with ancient territory (in the Common Era) labelled and delimited by a red line. For more information on the ancient territory see here.

Edit (29/7/2019): Here is the full Steppe_MLBA ancestry map, including Steppe_MLBA (vs. Indus Periphery vs. Onge) in modern South Asian populations from Narasimhan et al. (2018), apart from the ‘Srubnaya component’ in North Eurasian populations. ‘Dummy’ variables (with 0% ancestry) have been included to the south and east of the map to avoid weird interpolations of Steppe_MLBA into Africa and East Asia.

modern-steppe-mlba-ancestry2
Natural neighbor interpolation of Steppe MLBA-like ancestry among modern populations. See full map.

Anatolia Neolithic ancestry

Also interesting are the patterns of non-CWC-related ancestry, in particular the apparent wedge created by expanding East Slavs, which seems to reflect the intrusion of central(-eastern) European ancestry into Finno-Permic territory.

NOTE. Read more on Balto-Slavic hydrotoponymy, on the cradle of Russians as a Finno-Permic hotspot, and about Pre-Slavic languages in North-West Russia.

natural-modern-lbk-en-ancestry
Natural neighbor interpolation of LBK EN ancestry among modern populations. See full map.
kriging-modern-lbk-en-ancestry
Kriging interpolation of LBK EN ancestry among modern populations. See full map

WHG ancestry

The cline(s) between WHG, EHG, ANE, Nganasan, and Baikal HG are also simplified when some of them excluded, in this case EHG, represented thus in part by WHG, and in part by more eastern ancestries (see below).

modern-whg-ancestry
Natural neighbor interpolation of WHG ancestry among modern populations. See full map.
kriging-modern-whg-ancestry
Kriging interpolation of WHG ancestry among modern populations. See full map.

Arctic, Tundra or Forest-steppe?

Data on Nganasan-related vs. ANE vs. Baikal HG/Ulchi-related ancestry is difficult to map properly, because both ancestry components are usually reported as mutually exclusive, when they are in fact clearly related in an ancestral cline formed by different ancient North Eurasian populations from Siberia.

When it comes to ascertaining the origin of the multiple CWC-related clines among Uralic-speaking peoples, the question is thus how to properly distinguish the proportions of WHG-, EHG-, Nganasan-, ANE or BaikalHG-related ancestral components in North Eurasia, i.e. how did each dialectal group admix with regional groups which formed part of these clines east and west of the Urals.

The truth is, one ought to test specific ancient samples for each “Siberian” ancestry found in the different Uralic dialectal groups, but the simplistic “Siberian” label somehow gets a pass in many papers (see a recent example).

Below qpAdm results with best fits for Ulchi ancestry, Afontova Gora 3 ancestry, and Nganasan ancestry, but some populations show good fits for both and with similar proportions, so selecting one necessarily simplifies the distribution of both.

Ulchi ancestry

modern-ulchi-ancestry
Natural neighbor interpolation of Ulchi ancestry among modern populations. See full map.
kriging-modern-ulchi-ancestry
Kriging interpolation of Ulchi ancestry among modern populations. See full map.

ANE ancestry

natural-modern-ane-ancestry
Natural neighbor interpolation of ANE ancestry among modern populations. See full map.
kriging-modern-ane-ancestry
Kriging interpolation of ANE ancestry among modern populations. See full map.

Nganasan ancestry

modern-nganasan-ancestry
Natural neighbor interpolation of Nganasan ancestry among modern populations. See full map.
kriging-modern-nganasan-ancestry
Kriging interpolation of Nganasan ancestry among modern populations. See full map.

Iran Chalcolithic

A simplistic Iran Chalcolithic-related ancestry is also seen in the Altaic cline(s) which (like Corded Ware ancestry) expanded from Central Asia into Europe – apart from its historical distribution south of the Caucasus:

modern-iran-chal-ancestry
Natural neighbor interpolation of Iran Neolithic ancestry among modern populations. See full map.
kriging-modern-iran-neolithic-ancestry
Kriging interpolation of Iran Chalcolithic ancestry among modern populations. See full map.

Other models

The first question I imagine some would like to know is: what about other models? Do they show the same results? Here is the simplistic combination of ancestry components published in Damgaard et al. (2018) for the same or similar populations:

NOTE. As you can see, their selection of EHG vs. WHG vs. Nganasan vs. Natufian vs. Clovis of is of little use, but corroborate the results from other papers, and show some interesting patterns in combination with those above.

EHG

damgaard-modern-ehg-ancestry
Natural neighbor interpolation of EHG ancestry among modern populations, data from Damgaard et al. (2018). See full map.
damgaard-kriging-ehg-ancestry
Kriging interpolation of EHG ancestry among modern populations. See full map.

Natufian ancestry

damgaard-modern-natufian-ancestry
Natural neighbor interpolation of Natufian ancestry among modern populations, data from Damgaard et al. (2018). See full map.
damgaard-kriging-natufian-ancestry
Kriging interpolation of Natufian ancestry among modern populations. See full map.

WHG ancestry

damgaard-modern-whg-ancestry
Natural neighbor interpolation of WHG ancestry among modern populations, data from Damgaard et al. (2018). See full map.
damgaard-kriging-whg-ancestry
Kriging interpolation of WHG ancestry among modern populations. See full map.

Baikal HG ancestry

damgaard-modern-baikalhg-ancestry
Natural neighbor interpolation of Baikal hunter-gatherer ancestry among modern populations, data from Damgaard et al. (2018). See full map.
damgaard-kriging-baikal-hg-ancestry
Kriging interpolation of Baikal HG ancestry among modern populations. See full map.

Ancient North Eurasians

Once the modern situation is clear, relevant questions are, for example, whether EHG-, WHG-, ANE, Nganasan-, and/or Baikal HG-related meta-populations expanded or became integrated into Uralic-speaking territories.

When did these admixture/migration events happen?

How did the ancient distribution or expansion of Palaeo-Arctic, Baikalic, and/or Altaic peoples affect the current distribution of the so-called “Siberian” ancestry, and of hg. N1a, in each specific population?

NOTE. A little excursus is necessary, because the calculated repetition of a hypothetic opposition “N1a vs. R1a” doesn’t make this dichotomy real:

  1. There was not a single ethnolinguistic community represented by hg. R1a after the initial expansion of Eastern Corded Ware groups, or by hg. N1a-L392 after its initial expansion in Siberia:
  2. Different subclades became incorporated in different ways into Bronze Age and Iron Age communities, most of which without an ethnolinguistic change. For example, N1a subclades became incorporated into North Eurasian populations of different languages, reaching Uralic- and Indo-European-speaking territories of north-eastern Europe during the late Iron Age, at a time when their ancestral origin or language in Siberia was impossible to ascertain. Just like the mix found among Proto-Germanic peoples (R1b, R1a, and I1)* or among Slavic peoples (I2a, E1b, R1a)*, the mix of many Uralic groups showing specific percentages of R1a, N1a, or Q subclades* reflect more or less recent admixture or acculturation events with little impact on their languages.

*other typically northern and eastern European haplogroups are also represented in early Germanic (N1a, I2, E1b, J, G2), Slavic (I1, G2, J) and Finno-Permic (I1, R1b, J) peoples.

ananino-culture-new
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).

The problem with mapping the ancestry of the available sampling of ancient populations is that we lack proper temporal and regional transects. The maps that follow include cultures roughly divided into either “Bronze Age” or “Iron Age” groups, although the difference between samples may span up to 2,000 years.

NOTE. Rough estimates for more external groups (viz. Sweden Battle Axe/Gotland_A for the NW, Srubna from the North Pontic area for the SW, Arctic/Nganasan for the NE, and Baikal EBA/”Ulchi-like” for the SE) have been included to offer a wider interpolated area using data already known.

Bronze Age

Similar to modern populations, the selection of best fit “Siberian” ancestry between Baikal HG vs. Nganasan, both potentially ± ANE (AG3), is an oversimplification that needs to be addressed in future papers.

Corded Ware ancestry

bronze-age-corded-ware-ancestry
Natural neighbor interpolation of Srubnaya ancestry among Bronze Age populations. See full map.

Nganasan-like ancestry

bronze-age-nganasan-like-ancestry
Natural neighbor interpolation of Nganasan-like ancestry among Bronze Age populations. See full map.

Baikal HG ancestry

bronze-age-baikal-hg-ancestry
Natural neighbor interpolation of Baikal Hunter-Gatherer ancestry among Bronze Age populations. See full map.

Afontova Gora 3 ancestry

bronze-age-afontova-gora-ancestry
Natural neighbor interpolation of Afontova Gora 3 ancestry among Bronze Age populations. See full map.

Iron Age

Corded Ware ancestry

Interestingly, the moderate expansion of Corded Ware-related ancestry from the south during the Iron Age may be related to the expansion of hg. N1a-VL29 into the chiefdom-based system of north-eastern Europe, including Ananyino/Akozino and later expanding Akozino warrior-traders around the Baltic Sea.

NOTE. The samples from Levänluhta are centuries older than those from Estonia (and Ingria), and those from Chalmny Varre are modern ones, so this region has to be read as a south-west to north-east distribution from the Iron Age to modern times.

iron-age-corded-ware-ancestry
Natural neighbor interpolation of Srubnaya ancestry among Iron Age populations. See full map.

Baikal HG-like ancestry

The fact that this Baltic N1a-VL29 branch belongs in a group together with typically Avar N1a-B197 supports the Altaic origin of the parent group, which is possibly related to the expansion of Baikalic ancestry and Iron Age nomads:

iron-age-baikal-ancestry
Natural neighbor interpolation of Baikal HG ancestry among Iron Age populations. See full map.

Nganasan-like ancestry

The dilution of Nganasan-like ancestry in an Arctic region featuring “Siberian” ancestry and hg. N1a-L392 at least since the Bronze Age supports the integration of hg. N1a-Z1934, sister clade of Ugric N1a-Z1936, into populations west and east of the Urals with the expansion of Uralic languages to the north into the Tundra region (see here).

The integration of N1a-Z1934 lineages into Finnic-speaking peoples after their migration to the north and east, and the displacement or acculturation of Saami from their ancestral homeland, coinciding with known genetic bottlenecks among Finns, is yet another proof of this evolution:

iron-age-nganasan-ancestry
Natural neighbor interpolation of Nganasan ancestry among Iron Age populations. See full map.

WHG ancestry

Similarly, WHG ancestry doesn’t seem to be related to important population movements throughout the Bronze Age, which excludes the multiple North Eurasian populations that will be found along the clines formed by WHG, EHG, ANE, Nganasan, Baikal HG ancestry as forming part of the Uralic ethnogenesis, although they may be relevant to follow later regional movements of specific populations.

iron-age-whg-ancestry
Natural neighbor interpolation of WHG ancestry among Iron Age populations. See full map.

Conclusion

It seems natural that people used to look at maps of haplogroup distribution from the 2000s, coupled with modern language distributions, and would try to interpret them in a certain way, reaching thus the wrong conclusions whose consequences are especially visible today when ancient DNA keeps contradicting them.

In hindsight, though, assuming that Balto-Slavs expanded with Corded Ware and hg. R1a, or that Uralians expanded with “Siberian” ancestry and hg. N1a, was as absurd as looking at maps of ancestry and haplogroup distribution of ancient and modern Native Americans, trying to divide them into “Germanic” or “Iberian”…

The evolution of each specific region and cultural group of North Eurasia is far from being clear. However, the general trend speaks clearly in favour of an ancient, Bronze Age distribution of North Eurasian ancestry and haplogroups that have decreased, diluted, or become incorporated into expanding Uralians of Corded Ware ancestry, occasionally spreading with inter-regional expansions of local groups.

Given the relatively recent push of Altaic and Indo-European languages into ancestral Uralic-speaking territories, only the ancient Corded Ware expansion remains compatible with the spread of Uralic languages into their historical distribution.

Related

A Song of Sheep and Horses, revised edition, now available as printed books

cover-song-sheep-and-horses

As I said 6 months ago, 2019 is a tough year to write a blog, because this was going to be a complex regional election year and therefore a time of political promises, hence tenure offers too. Now the preliminary offers have been made, elections have passed, but the timing has slightly shifted toward 2020. So I may have the time, but not really any benefit of dedicating too much effort to the blog, and a lot of potential benefit of dedicating any time to evaluable scientific work.

On the other hand, I saw some potential benefit for publishing texts with ISBNs, hence the updates to the text and the preparation of these printed copies of the books, just in case. While Spain’s accreditation agency has some hard rules for becoming a tenured professor, especially for medical associates (whose years of professional experience are almost worthless compared to published peer-reviewed papers), it is quite flexible in assessing one’s merits.

However, regional and/or autonomous entities are not, and need an official identifier and preferably printed versions to evaluate publications, such as an ISBN for books. I took thus some time about a month ago to update the texts and supplementary materials, to publish a printed copy of the books with Amazon. The first copies have arrived, and they look good.

series-song-sheep-horses-cover

Corrections and Additions

Titles
I have changed the names and order of the books, as I intended for the first publication – as some of you may have noticed when the linguistic book was referred to as the third volume in some parts. In the first concept I just wanted to emphasize that the linguistic work had priority over the rest. Now the whole series and the linguistic volume don’t share the same name, and I hope this added clarity is for the better, despite the linguistic volume being the third one.

Uralic dialects
I have changed the nomenclature for Uralic dialects, as I said recently. I haven’t really modified anything deeper than that, because – unlike adding new information from population genomics – this would require for me to do a thorough research of the most recent publications of Uralic comparative grammar, and I just can’t begin with that right now.

Anyway, the use of terms like Finno-Ugric or Finno-Samic is as correct now for the reconstructed forms as it was before the change in nomenclature.

west-east-uralic-schema

Mediterranean
The most interesting recent genetic data has come from Iberia and the Mediterranean. Lacking direct data from the Italian Peninsula (and thus from the emergence of the Etruscan and Rhaetian ethnolinguistic community), it is becoming clearer how some quite early waves of Indo-Europeans and non-Indo-Europeans expanded and shrank – at least in West Iberia, West Mediterranean, and France.

Finno-Ugric
Some of the main updates to the text have been made to the sections on Finno-Ugric populations, because some interesting new genetic data (especially Y-DNA) have been published in the past months. This is especially true for Baltic Finns and for Ugric populations.

ananino-culture-new

Balto-Slavic
Consequently, and somehow unsurprisingly, the Balto-Slavic section has been affected by this; e.g. by the identification of Early Slavs likely with central-eastern populations dominated by (at least some subclades of) hg. I2a-L621 and E1b-V13.

Maps
I have updated some cultural borders in the prehistoric maps, and the maps with Y-DNA and mtDNA. I have also added one new version of the Early Bronze age map, to better reflect the most likely location of Indo-European languages in the Early European Bronze Age.

As those in software programming will understand, major changes in the files that are used for maps and graphics come with an increasing risk of additional errors, so I would not be surprised if some major ones would be found (I already spotted three of them). Feel free to communicate these errors in any way you see fit.

bronze-age-early-indo-european
European Early Bronze Age: tentative langage map based on linguistics, archaeology, and genetics.

SNPs
I have selected more conservative SNPs in certain controversial cases.

I have also deleted most SNP-related footnotes and replaced them with the marking of each individual tentative SNP, leaving only those footnotes that give important specific information, because:

  • My way of referencing tentative SNP authors did not make it clear which samples were tentative, if there were more than one.
  • It was probably not necessary to see four names repeated 100 times over.
  • Often I don’t really know if the person I have listed as author of the SNP call is the true author – unless I saw the full SNP data posted directly – or just someone who reposted the results.
  • Sometimes there are more than one author of SNPs for a certain sample, but I might have added just one for all.
ancient-dna-all
More than 6000 ancient DNA samples compiled to date.

For a centralized file to host the names of those responsible for the unofficial/tentative SNPs used in the text – and to correct them if necessary -, readers will be eventually able to use Phylogeographer‘s tool for ancient Y-DNA, for which they use (partly) the same data I compiled, adding Y-Full‘s nomenclature and references. You can see another map tool in ArcGIS.

NOTE. As I say in the text, if the final working map tool does not deliver the names, I will publish another supplementary table to the text, listing all tentative SNPs with their respective author(s).

If you are interested in ancient Y-DNA and you want to help develop comprehensive and precise maps of ancient Y-DNA and mtDNA haplogroups, you can contact Hunter Provyn at Phylogeographer.com. You can also find more about phylogeography projects at Iain McDonald’s website.

Graphics
I have also added more samples to both the “Asian” and the “European” PCAs, and to the ADMIXTURE analyses, too.

I previously used certain samples prepared by amateurs from BAM files (like Botai, Okunevo, or Hittites), and the results were obviously less than satisfactory – hence my criticism of the lack of publication of prepared files by the most famous labs, especially the Copenhagen group.

Fortunately for all of us, most published datasets are free, so we don’t have to reinvent the wheel. I criticized genetic labs for not releasing all data, so now it is time for praise, at least for one of them: thank you to all responsible at the Reich Lab for this great merged dataset, which includes samples from other labs.

NOTE. I would like to make my tiny contribution here, for beginners interested in working with these files, so I will update – whenever I have time – the “How To” sections of this blog for PCAs, PCA3d, and ADMIXTURE.

-iron-age-europe-romans
Detail of the PCA of European Iron Age populations. See full versions.

ADMIXTURE
For unsupervised ADMIXTURE in the maps, a K=5 is selected based on the CV, giving a kind of visual WHG : NWAN : CHG/IN : EHG : ENA, but with Steppe ancestry “in between”. Higher K gave worse CV, which I guess depends on the many ancient and modern samples selected (and on the fact that many samples are repeated from different sources in my files, because I did not have time to filter them all individually).

I found some interesting component shared by Central European populations in K=7 to K=9 (from CEU Bell Beakers to Denmark LN to Hungarian EBA to Iberia BA, in a sort of “CEU BBC ancestry” potentially related to North-West Indo-Europeans), but still, I prefer to go for a theoretically more correct visualization instead of cherry-picking the ‘best-looking’ results.

Since I made fun of the search for “Siberian ancestry” in coloured components in Tambets et al. 2018, I have to be consistent and preferred to avoid doing the same here…

qpAdm
In the first publication (in January) and subsequent minor revisions until March, I trusted analyses and ancestry estimates reported by amateurs in 2018, which I used for the text adding my own interpretations. Most of them have been refuted in papers from 2019, as you probably know if you have followed this blog (see very recent examples here, here, or here), compelling me to delete or change them again, and again, and again. I don’t have experience from previous years, although the current pattern must have been evidently repeated many times over, or else we would be still talking about such previous analyses as being confirmed today…

I wanted to be one step ahead of peer-reviewed publications in the books, but I prefer now to go for something safe in the book series, rather than having one potentially interesting prediction – which may or may not be right – and ten huge mistakes that I would have helped to endlessly redistribute among my readers (online and now in print) based on some cherry-picked pairwise comparisons. This is especially true when predictions of “Steppe“- and/or “Siberian“-related ancestry have been published, which, for some reason, seem to go horribly wrong most of the time.

I am sure whole books can be written about why and how this happened (and how this is going to keep happening), based on psychology and sociology, but the reasons are irrelevant, and that would be a futile effort; like writing books about glottochronology and its intermittent popularity due to misunderstood scientist trends. The most efficient way to deal with this problem is to avoid such information altogether, because – as you can see in the current revised text – they wouldn’t really add anything essential to the content of these books, anyway.

Continue reading

Official site of the book series:
A Song of Sheep and Horses: eurafrasia nostratica, eurasia indouralica

Uralic speakers formed clines of Corded Ware ancestry with WHG:ANE populations

steppe-forest-tundra-biomes-uralic

The preprint by Jeong et al. (2018) has been published: The genetic history of admixture across inner Eurasia Nature Ecol. Evol. (2019).

Interesting excerpts, referring mainly to Uralic peoples (emphasis mine):

A model-based clustering analysis using ADMIXTURE shows a similar pattern (Fig. 2b and Supplementary Fig. 3). Overall, the proportions of ancestry components associated with Eastern or Western Eurasians are well correlated with longitude in inner Eurasians (Fig. 3). Notable outliers include known historical migrants such as Kalmyks, Nogais and Dungans. The Uralic- and Yeniseian-speaking populations, as well as Russians from multiple locations, derive most of their Eastern Eurasian ancestry from a component most enriched in Nganasans, while Turkic/Mongolic speakers have this component together with another component most enriched in populations from the Russian Far East, such as Ulchi and Nivkh (Supplementary Fig. 3). Turkic/Mongolic speakers comprising the bottom-most cline have a distinct Western Eurasian ancestry profile: they have a high proportion of a component most enriched in Mesolithic Caucasus hunter-gatherers and Neolithic Iranians and frequently harbour another component enriched in present-day South Asians (Supplementary Fig. 4). Based on the PCA and ADMIXTURE results, we heuristically assigned inner Eurasians to three clines: the ‘forest-tundra’ cline includes Russians and all Uralic and Yeniseian speakers; the ‘steppe-forest’ cline includes Turkic- and Mongolic-speaking populations from the Volga and Altai–Sayan regions and Southern Siberia; and the ‘southern steppe’ cline includes the rest of the populations.

eurasian-clines-uralic-altaic
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 northsouth 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.

For the forest-tundra populations, the Nganasan + Srubnaya model is adequate only for the two Volga region populations, Udmurts and Besermyans (Fig. 5 and Supplementary Table 8).

For the other populations west of the Urals, six from the northeastern corner of Europe are modelled with additional Mesolithic Western European hunter-gatherer (WHG) contribution (8.2–11.4%; Supplementary Table 8), while the rest need both WHG and early Neolithic European farmers (LBK_EN; Supplementary Table 2). Nganasan-related ancestry substantially contributes to their gene pools and cannot be removed from the model without a significant decrease in the model fit (4.1–29.0% contribution; χ2 P ≤ 1.68 × 10−5; Supplementary Table 8).

west-urals-finno-ugrians-qpadm
Supplementary Table 8. QpAdm-based admixture modeling of the forest-tundra cline populations. For the 13 populations west of the Urals, we present a four-way admixture model, Nganasan+Srubnaya+WHG+LBK_EN, or its minimal adequate subset. Modified from the article, to include colors for cultures, and underlined best models for Corded Ware ancestry among Uralians.

NOTE. It doesn’t seem like Hungarians can be easily modelled with Nganasan ancestry, though…

For the 4 populations east of the Urals (Enets, Selkups, Kets and Mansi), for which the above models are not adequate, Nganasan + Srubnaya + AG3 provides a good fit (χ2 P ≥ 0.018; Fig. 5 and Supplementary Table 8). Using early Bronze Age populations from the Baikal Lake region (‘Baikal_EBA’; Supplementary Table 2) as a reference instead of Nganasan, the two-way model of Baikal_EBA + Srubnaya provides a reasonable fit (χ2 P ≥ 0.016; Supplementary Table 8) and the three-way model of Baikal_EBA + Srubnaya + AG3 is adequate but with negative AG3 contribution for Enets and Mansi (χ2 P ≥ 0.460; Supplementary Table 8).

east-urals-ugric-samoyedic-qpadm
Supplementary Table 8. QpAdm-based admixture modeling of the forest-tundra cline populations. For the four populations east of the Urals, we present three admixture models: Baikal_EBA+Srubnaya, Baikal_EBA+Srubnaya+AG3 and Nganasan+Srubnaya+AG3. For each model, we present qpAdm p-value, admixture coefficient estimates and associated 5 cM jackknife standard errors (estimate ± SE). Modified from the article, to include colors for cultures, and underlined best models for Corded Ware ancestry among Uralians.

Bronze/Iron Age populations from Southern Siberia also show a similar ancestry composition with high ANE affinity (Supplementary Table 9). The additional ANE contribution beyond the Nganasan + Srubnaya model suggests a legacy from ANE-ancestry-rich clines before the Late Bronze Age.

bronze-age-iron-age-karasuk-mezhovska-tagar-qpadm
Supplementary Table 9. QpAdm-based admixture modeling of Bronze and Iron Age populations of southern Siberia. For ancieint individuals associated with Karasuk and Tagar cultures, Nganasan+Srubnaya model is insufficient. For all five groups, adding AG3 as the third ancestry or substituting Nganasan with Baikal_EBA with higher ANE affinity provides an adequate model. For each model, we present qpAdm p-value, admixture coefficient estimates and associated 5 cM jackknife standard errors (estimate ± SE). Models with p-value ≥ 0.05 are highlighted in bold face. Modified from the article, to include colors for cultures, and underlined best models for Corded Ware ancestry among Uralians.

Lara M. Cassidy comments the results of the study in A steppe in the right direction (you can read it here):

Even among the earliest available inner Eurasian genomes, east–west connectivity is evident. These, too, form a longitudinal cline, characterized by the easterly increase of a distinct ancestry, labelled Ancient North Eurasian (ANE), lowest in western European hunter-gatherers (WHG) and highest in Palaeolithic Siberians from the Baikal region. Flow-through from this ANE cline is seen in steppe populations until at least the Bronze Age, including the world’s earliest known horse herders — the Botai. However, this is eroded over time by migration from west and east, following agricultural adoption on the continental peripheries (Fig. 1b,c).

Strikingly, Jeong et al. model the modern upper steppe cline as a simple two-way mixture between western Late Bronze Age herders and Northeast Asians (Fig. 1c), with no detectable residue from the older ANE cline. They propose modern steppe peoples were established mainly through migrations post-dating the Bronze Age, a sequence for which has been recently outlined using ancient genomes. In contrast, they confirm a substantial ANE legacy in modern Siberians of the northernmost cline, a pattern mirrored in excesses of WHG ancestry west of the Urals (Fig. 1b). This marks the inhospitable biome as a reservoir for older lineages, an indication that longstanding barriers to latitudinal movement may indeed be at work, reducing the penetrance of gene flows further south along the steppe.

eurasian-clines-uralic-turkic-mongol-altaic
The genomic formation of inner Eurasians. b–d, Depiction of the three main clines of ancestry identified among Inner Eurasians. Sources of admixture for each cline are represented using proxy ancient populations, both sampled and hypothesised, based on the study’s modelling results. The major eastern and western ancestries used to model each cline are shown in bold; the peripheral admixtures that gave rise to these are also shown. Additional contributions to subsections of each cline are marked with dashed lines. b, The northernmost cline, illustrating the legacy of WHG and ANE-related populations. c,d, The upper (c) and lower (d) steppe clines are shown, both of which have substantial eastern contributions related to modern Tungusic speakers. The authors propose these populations are themselves the result of an admixture between groups related to the Nganasan, whose ancestors potentially occupied a wider range, and hunter-gatherers (HGs) from the Amur River Basin. While the upper steppe cline in c can be described as a mixture between this eastern ancestry and western steppe herders, the current model for the southern steppe cline as shown in d is not adequate and is likely confounded by interactions with diverse bordering ancestries. Credit: Ecoregions 2017, Resolve https://ecoregions2017.appspot.com/

Given the findings as reported in the paper, I think it should be much easier to describe different subclines in the “northernmost cline” than in the much more recent “Turkic/Mongolic cline”, which is nevertheless subdivided in this paper in two clines. As an example, there are at least two obvious clines with “Nganasan-related meta-populations” among Uralians, which converge in a common Steppe MLBA (i.e. Corded Ware) ancestry – one with Palaeo-Laplandic peoples, and another one with different Palaeo-Siberian populations:

siberian-clines-uralic-altaic
PCA of ancient and modern Eurasian samples. Ancient Palaeo-Laplandic, Palaeosiberian, and Altai clines drawn, with modern populations labelled. See a version with higher resolution.

The inclusion of certain Eurasian groups (or lack thereof) in the PCA doesn’t help to distinguish these subclines visually, and I guess the tiny “Naganasan-related” ancestral components found in some western populations (e.g. the famous ~5% among Estonians) probably don’t lend themselves easily to further subdivisions. Notice, nevertheless, the different components of the Eastern Eurasian source populations among Finno-Ugrians:

uralic-admixture-qpadm
Characterization of the Western and Eastern Eurasian source ancestries in inner Eurasian populations. [Modified from the paper, includes only Uralic populations]. a, Admixture f3 values are compared for different Eastern Eurasian (Mixe, Nganasan and Ulchi; green) and Western Eurasian references (Srubnaya and Chalcolithic Iranians (Iran_ChL); red). For each target group, darker shades mark more negative f3 values. b, Weights of donor populations in two sources characterizing the main admixture signal (date 1 and PC1) in the GLOBETROTTER analysis. We merged 167 donor populations into 12 groups (top right). Target populations were split into five groups (from top to bottom): Aleuts; the forest-tundra cline populations; the steppe-forest cline populations; the southern steppe cline populations; and ‘others’.

Also remarkable is the lack of comparison of Uralic populations with other neighbouring ones, since the described Uralic-like ancestry of Russians was already known, and is most likely due to the recent acculturation of Uralic-speaking peoples in the cradle of Russians, right before their eastward expansions.

west-eurasian-east-eurasian-ancestry
Supplementary Fig. 4. ADMIXTURE results qualitatively support PCA-based grouping of inner Eurasians into three clines. (A) Most southern steppe cline populations derive a higher proportion of their total Western Eurasian ancestry from a source related to Caucasus, Iran and South Asian populations. (B) Turkic- and Mongolic-speaking populations tend to derive their Eastern Eurasian ancestry more from the Devil’s Gate related one than from Nganasan-related one, while the opposite is true for Uralic- and Yeiseian-speakers. To estimate overall western Eurasian ancestry proportion, we sum up four components in our ADMIXTURE results (K=14), which are the dominant components in Neolithic Anatolians (“Anatolia_N”), Mesolithic western European hunter-gatherers (“WHG”), early Holocene Caucasus hunter-gatherers (“CHG”) and Mala from southern India, respectively. The “West / South Asian ancestry” is a fraction of it, calculated by summing up the last two components. To estimate overall Eastern Eurasian ancestry proportion, we sum up six components, most prevalent in Surui, Chipewyan, Itelmen, Nganasan, Atayal and early Neolithic Russian Far East individuals (“Devil’s Gate”). Eurasians into three clines. (A) Most southern steppe cline populations derive a higher proportion of their total Western Eurasian ancestry from a source related to Caucasus, Iran and South Asian populations. (B) Turkic- and Mongolic-speaking populations tend to derive their Eastern Eurasian ancestry more from the Devil’s Gate related one than from Nganasan-related one, while the opposite is true for Uralic- and Yeiseian-speakers. To estimate overall western Eurasian ancestry proportion, we sum up four components in our ADMIXTURE results (K=14), which are the dominant components in Neolithic Anatolians (“Anatolia_N”), Mesolithic western European hunter-gatherers (“WHG”), early Holocene Caucasus hunter-gatherers (“CHG”) and Mala from southern India, respectively. The “West / South Asian ancestry” is a fraction of it, calculated by summing up the last two components. To estimate overall Eastern Eurasian ancestry proportion, we sum up six components, most prevalent in Surui, Chipewyan, Itelmen, Nganasan, Atayal and early Neolithic Russian Far East individuals (“Devil’s Gate”).

A comparison of Estonians and Finns with Balts, Scandinavians, and Eastern Europeans would have been more informative for the division of the different so-called “Nganasan-like meta-populations”, and to ascertain which one of these ancestral peoples along the ancient WHG:ANE cline could actually be connected (if at all) to the Cis-Urals.

Because, after all, based on linguistics and archaeology, geneticists are not supposed to be looking for populations from the North Asian Arctic region, for “Siberian ancestry”, or for haplogroup N1c – despite previous works by their peers – , but for the Bronze Age Volga-Kama region…

Related

N1c-L392 associated with expanding Turkic lineages in Siberia

haplogroup-n1c-tat

Second in popularity for the expansion of haplogroup N1a-L392 (ca. 4400 BC) is, apparently, the association with Turkic, and by extension with Micro-Altaic, after the Uralic link preferred in Europe; at least among certain eastern researchers.

New paper in a recently created journal, by the same main author of the group proposing that Scythians of hg. N1c were Turkic speakers: On the origins of the Sakhas’ paternal lineages: Reconciliation of population genetic / ancient DNA data, archaeological findings and historical narratives, by Tikhonov, Gurkan, Demirdov, and Beyoglu, Siberian Research (2019).

Interesting excerpts:

According to the views of a number of authoritative researchers, the Yakut ethnos was formed in the territory of Yakutia as a result of the mixing of people from the south and the autochthonous population [34].

These three major Sakha paternal lineages may have also arrived in Yakutia at different times and/ or from different places and/or with a difference in several generations instead, or perhaps Y-chromosomal STR mutations may have taken place in situ in Yakutia. Nevertheless, the immediate common ancestor(s) from the Asian Steppe of these three most prevalent Sakha Y-chromosomal STR haplotypes possibly lived during the prominence of the Turkic Khaganates, hence the near-perfect matches observed across a wide range of Eurasian geography, including as far as from Cyprus in the West to Liaoning, China in the East, then Middle Lena in the North and Afghanistan in the South (Table 3 and Figure 5). There may also be haplotypes closely-related to ‘the dominant Elley line’ among Karakalpaks, Uzbeks and Tajiks, however, limitations in the loci coverage for the available dataset (only eight Y-chromosomal STR loci) precludes further conclusions on this matter [25].

yakutia-haplogroup-n1c
17-loci median-joining network analysis of the original/dominant Elley, Unknown and Omogoy Y-chromosomal STR haplotypes with the YHRD matches from outside Yakutia populations.

According to the results presented here, very similar Y-STR haplotypes to that of the original Elley line were found in the west: Afghanistan and northern Cyprus, and in the east: Liaoning Province, China and Ulaanbaator, Northern Mongolia. In the case of the dominant Omogoy line, very closely matching haplotypes differing by a single mutational step were found in the city of Chifen of the Jirin Province, China. The widest range of similar haplotypes was found for the Yakut haplotype Unknown: In Mongolia, China and South Korea. For instance, haplotypes differing by a single step mutation were found in Northern Mongolia (Khalk, Darhad, Uryankhai populations), Ulaanbaator (Khalk) and in the province of Jirin, China (Han population).

n1c-uralic-altaic-siberia
14-loci median-joining network analysis for the original/dominant Elley (Ell), Unknown Clan
(Vil), Omogoy (Omo), Eurasian (Eur) and Xiongnu (Xuo) Y-chromosomal STR haplotypes and that for a representative ancient DNA sample (Ch0 or DSQ04) from the Upper Xiajiadian Culture
recovered from the Inner Mongolia Autonomous Region, China.

Notably, Tat-C-bearing Y-chromosomes were also observed in ancient DNA samples from the 2700-3000 years-old Upper Xiajiadian culture in Inner Mongolia, as well as those from the Serteya II site at the Upper Dvina region in Russia and the ‘Devichyi gory’ culture of long barrow burials at the Nevel’sky district of Pskovsky region in Russia. A 14-loci Y-chromosomal STR median-joining network of the most prevalent Sakha haplotypes and a Tat-C-bearing haplotype from one of the ancient DNA samples recovered from the Upper Xiajiadian culture in Inner Mongolia (DSQ04) revealed that the contemporary Sakha haplotype ‘Xuo’ (Table 2, Haplotype ID “Xuo”) classified as that of ‘the Xiongnu clan’ in our current study, was the closest to the ancient Xiongnu haplotype (Figure 6). TMRCA estimate for this 14-loci Y-chromosomal STR network was 4357 ± 1038 years or 2341 ± 1038 BCE, which correlated well with the Upper Xiajiadian culture that was dated to the Late Bronze Age (700-1000 BCE).

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

NOTE. Also interesting from the paper seems to be the proportion of E1b1b among admixed Russian populations, in a proportion similar to R1a or I2a(xI2a1).

It is tempting to associate the prevalent presence of N1c-L392 in ancient Siberian populations with the expansion of Altaic, by simplistically linking the findings (in chronological order) near Lake Baikal (Damgaard et al. 2018), Upper Xiajiadian (Cui et al. 2013), among Khövsgöl (Jeong et al. 2018), in Huns (Damgaard et al. 2018), and in Mongolic-speaking Avars (Csáky et al. 2019).

However, its finding among Palaeo-Laplandic peoples in the Kola peninsula ca. 1500 BC (Lamnidis et al. 2018) and among Palaeo-Siberian populations near the Yana River (Sikora et al. 2018) ca. AD 1200 should be enough to accept the hypothesis of ancestral waves of expansion of the haplogroup over northern Eurasia, with acculturation and further expansions in the different regions since the Iron Age (see more on its potential expansion waves).

Also, a simple look at the TMRCA and modern distribution was enough to hypothesize long ago the lack of connection of N1c-L392 with Altaic or Uralic peoples. From Ilumäe et al. (2016):

Previous research has shown that Y chromosomes of the Turkic-speaking Yakuts (Sakha) belong overwhelmingly to hg N3 (formerly N1c1). We found that nearly all of the more than 150 genotyped Yakut N3 Y chromosomes belong to the N3a2-M2118 clade, just as in the Turkic-speaking Dolgans and the linguistically distant Tungusic-speaking Evenks and Evens living in Yakutia (Table S2). Hence, the N3a2 patrilineage is a prime example of a male population of broad central Siberian ancestry that is not intrinsic to any linguistically defined group of people. Moreover, the deepest branch of hg N3a2 is represented by a Lebanese and a Chinese sample. This finding agrees with the sequence data from Hallast et al., where one Turkish Y chromosome was also assigned to the same sub-clade. Interestingly, N3a2 was also found in one Bhutan individual who represents a separate sub-lineage in the clade. These findings show that although N3a2 reflects a recent strong founder effect primarily in central Siberia (Yakutia, Sakha), the sub-clade has a much wider distribution area with incidental occurrences in the Near East and South Asia.

haplogroup-n1a-M2118
Frequency-Distribution Maps of Individual Sub-clades of hg N3a2, by Ilumäe et al. (2016).

The most striking aspect of the phylogeography of hg N is the spread of the N3a3’6-CTS6967 lineages. Considering the three geographically most distant populations in our study—Chukchi, Buryats, and Lithuanians—it is remarkable to find that about half of the Y chromosome pool of each consists of hg N3 and that they share the same sub-clade N3a3’6. The fractionation of N3a3’6 into the four sub-clades that cover such an extraordinarily wide area occurred in the mid-Holocene, about 5.0 kya (95% CI = 4.4–5.7 kya). It is hard to pinpoint the precise region where the split of these lineages occurred. It could have happened somewhere in the middle of their geographic spread around the Urals or further east in West Siberia, where current regional diversity of hg N sub-lineages is the highest (Figure 1B). Yet, it is evident that the spread of the newly arisen sub-clades of N3a3’6 in opposing directions happened very quickly. Today, it unites the East Baltic, East Fennoscandia, Buryatia, Mongolia, and Chukotka-Kamchatka (Beringian) Eurasian regions, which are separated from each other by approximately 5,000–6,700 km by air. N3a3’6 has high frequencies in the patrilineal pools of populations belonging to the Altaic, Uralic, several Indo-European, and Chukotko-Kamchatkan language families. There is no generally agreed, time-resolved linguistic tree that unites these linguistic phyla. Yet, their split is almost certainly at least several millennia older than the rather recent expansion signal of the N3a3’6 sub-clade, suggesting that its spread had little to do with linguistic affinities of men carrying the N3a3’6 lineages.

haplogroup_n3a3
Frequency-Distribution Maps of Individual Subclade N3a3 / N1a1a1a1a1a-CTS2929/VL29.

It was thus clear long ago that N1c-L392 lineages must have expanded explosively in the 5th millennium through Northern Eurasia, probably from a region to the north of Lake Baikal, and that this expansion – and succeeding ones through Northern Eurasia – may not be associated to any known language group until well into the common era.

Related

The cradle of Russians, an obvious Finno-Volgaic genetic hotspot

pskov-novgorod-russia

First look of an accepted manuscript (behind paywall), Genome-wide sequence analyses of ethnic populations across Russia, by Zhernakova et al. Genomics (2019).

Interesting excerpts:

There remain ongoing discussions about the origins of the ethnic Russian population. The ancestors of ethnic Russians were among the Slavic tribes that separated from the early Indo-European Group, which included ancestors of modern Slavic, Germanic and Baltic speakers, who appeared in the northeastern part of Europe ca. 1,500 years ago. Slavs were found in the central part of Eastern Europe, where they came in direct contact with (and likely assimilation of) the populations speaking Uralic (Volga-Finnish and Baltic- Finnish), and also Baltic languages [11–13]. In the following centuries, Slavs interacted with the Iranian-Persian, Turkic and Scandinavian peoples, all of which in succession may have contributed to the current pattern of genome diversity across the different parts of Russia. At the end of the Middle Ages and in the early modern period, there occurred a division of the East Slavic unity into Russians, Ukrainians and Belarusians. It was the Russians who drove the colonization movement to the East, although other Slavic, Turkic and Finnish peoples took part in this movement, as the eastward migrations brought them to the Ural Mountains and further into Siberia, the Far East, and Alaska. During that interval, the Russians encountered the Finns, Ugrians, and Samoyeds speakers in the Urals, but also the Turkic, Mongolian and Tungus speakers of Siberia. Finally, in the great expanse between the Altai Mountains on the border with Mongolia, and the Bering Strait, they encountered paleo-Asiatic groups that may be genetically closest to the ancestors of the Native Americans. Today’s complex patchwork of human diversity in Russia has continued to be augmented by modern migrations from the Caucasus, and from Central Asia, as modern economic migrations take shape.

pskov-novgorod-pca-eurasia-yakut
Sample relatedness based on genotype data. Eurasia: Principal Component plot of 574 modern Russian genomes. Colors reflect geographical regions of collection; shapes reflect the sample source. Red circles show the location of Genome Russia samples.

In the current study, we annotated whole genome sequences of individuals currently living on the territory of Russia and identifying themselves as ethnic Russian or as members of a named ethnic minority (Fig. 1). We analyzed genetic variation in three modern populations of Russia (ethnic Russians from Pskov and Novgorod regions and ethnic Yakut from the Sakha Republic), and compared them to the recently released genome sequences collected from 52 indigenous Russian populations. The incidence of function-altering mutations was explored by identifying known variants and novel variants and their allele frequencies relative to variation in adjacent European, East Asian and South Asian populations. Genomic variation was further used to estimate genetic distance and relationships, historic gene flow and barriers to gene flow, the extent of population admixture, historic population contractions, and linkage disequilibrium patterns. Lastly, we present demographic models estimating historic founder events within Russia, and a preliminary HapMap of ethnic Russians from the European part of Russia and Yakuts from eastern Siberia.

pskov-novgorod-pca-finno-permic
Sample relatedness based on genotype data. Western Russia and neighboring countries: Principal Component plot of 574 modern Russian genomes. Colors reflect geographical regions of collection; shapes reflect the sample source. Red circles show the location of Genome Russia samples.

The collection of identified SNPs was used to inspect quantitative distinctions among 264 individuals from across Eurasia (Fig. 1) using Principal Component Analysis (PCA) (Fig. 2). The first and the second eigenvectors of the PCA plot are associated with longitude and latitude, respectively, of the sample locations and accurately separate Eurasian populations according to geographic origin. East European samples cluster near Pskov and Novgorod samples, which fall between northern Russians, Finno-Ugric peoples (Karelian, Finns, Veps etc.), and other Northeastern European peoples (Swedes, Central Russians, Estonian, Latvians, Lithuanians, and Ukrainians) (Fig. 2b). Yakut individuals map into the Siberian sample cluster as expected (Fig. 2a). To obtain an extended view of population relationships, we performed a maximum likelihood-based estimation of ancestry and population structure using ADMIXTURE [46](Fig. 2c). The Novgorod and Pskov populations show similar profiles with their Northeastern European ancestors while the Yakut ethnic group showed mixed ancestry similar to the Buryat and Mongolian groups.

pskov-novgorod-yakut-admixture
Population structure across samples in 178 populations from five major geographic regions (k=5). Samples are pooled across three different studies that covered the territory of Russian Federation (Mallick et al. 2016 [36], Pagani et al. 2016 [37], this study). The optimal k-value was selected by value of cross validation error. Russian samples from all studies (highlighted in bold dark blue) show a slight gradient from Eastern European (Ukrainian, Belorussian, Polish) to North European (Estonian Karelian, Finnish) structures, reflecting population history of northward expansion. Yakut samples from different studies (highlighted in bold red) also show a slight gradient from Mongolian to Siberian people (Evens), as expected from their original admixture and northward expansions. The samples originated from this study are highlighted, and plotted in separated boxes below.

Possible admixture sources of the Genome Russia populations were addressed more formally by calculating F3 statistics, which is an allele frequency-based measure, allowing to test if a target population can be modeled as a mixture of two source populations [48]. Results showed that Yakut individuals are best modeled as an admixture of Evens or Evenks with various European populations (Supplemental Table S4). Pskov and Novgorod showed admixture of European with Siberian or Finno-Ugric populations, with Lithuanian and Latvian populations being the dominant European sources for Pskov samples.

direction-expansion-russians
The heatmaps of gene flow barriers show for each point at the geographical map the interpolated differences in allele frequencies (AF) between the estimated AF at the point with AFs in the vicinity of this point. The direction of the maximal difference in allele frequencies is coded by colors and arrows.

So, Russians expanding in the Middle Ages as acculturaded Finno-Volgaic peoples.

Or maybe the true Germano-Slavonic™-speaking area was in north-eastern Europe, until the recent arrival of Finno-Permians with the totally believable Nganasan-Saami horde, whereas Yamna -> Bell Beaker represented Vasconic-Caucasian expanding all over Europe in the Bronze Age. Because steppe ancestry in Fennoscandia and Modern Basques in Iberia.

A really hard choice between equally plausible models.

Related

Magyar tribes brought R1a-Z645, I2a-L621, and N1a-L392(xB197) lineages to the Carpathian Basin

hungarian-conquerors-turks

The Nightmare Week of “N1c=Uralic” proponents (see here) continues, now with preprint Y-chromosome haplogroups from Hun, Avar and conquering Hungarian period nomadic people of the Carpathian Basin, by Neparaczki et al. bioRxiv (2019).

Abstract:

Hun, Avar and conquering Hungarian nomadic groups arrived into the Carpathian Basin from the Eurasian Steppes and significantly influenced its political and ethnical landscape. In order to shed light on the genetic affinity of above groups we have determined Y chromosomal haplogroups and autosomal loci, from 49 individuals, supposed to represent military leaders. Haplogroups from the Hun-age are consistent with Xiongnu ancestry of European Huns. Most of the Avar-age individuals carry east Eurasian Y haplogroups typical for modern north-eastern Siberian and Buryat populations and their autosomal loci indicate mostly unmixed Asian characteristics. In contrast the conquering Hungarians seem to be a recently assembled population incorporating pure European, Asian and admixed components. Their heterogeneous paternal and maternal lineages indicate similar phylogeographic origin of males and females, derived from Central-Inner Asian and European Pontic Steppe sources. Composition of conquering Hungarian paternal lineages is very similar to that of Baskhirs, supporting historical sources that report identity of the two groups.

Interesting excerpts (emphasis mine):

All N-Hg-s identified in the Avars and Conquerors belonged to N1a1a-M178. We have tested 7 subclades of M178; N1a1a2-B187, N1a1a1a2-B211, N1a1a1a1a3-B197, N1a1a1a1a4-M2118, N1a1a1a1a1a-VL29, N1a1a1a1a2-Z1936 and the N1a1a1a1a2a1c1-L1034 subbranch of Z1936. The European subclades VL29 and Z1936 could be excluded in most cases, while the rest of the subclades are prevalent in Siberia 23 from where this Hg dispersed in a counter-clockwise migratory route to Europe (…). All the 5 other Avar samples belonged to N1a1a1a1a3-B197, which is most prevalent in Chukchi, Buryats, Eskimos, Koryaks and appears among Tuvans and Mongols with lower frequency.

haplogroup-n-pca
First two components of PCA from Hg N1a subbranch distribution in 51 populations including Avars and Conquerors. Colors indicate geographic regions. Three letter codes are given in Supplementary Table S5.

By contrast two Conquerors belonged to N1a1a1a1a4-M2118, the Y lineage of nearly all Yakut males, being also frequent in Evenks, Evens and occurring with lower frequency among Khantys, Mansis and Kazakhs.

Three Conqueror samples belonged to Hg N1a1a1a1a2-Z1936 , the Finno-Permic N1a branch, being most frequent among northeastern European Saami, Finns, Karelians, as well as Komis, Volga Tatars and Bashkirs of the Volga-Ural region.Nevertheless this Hg is also present with lower frequency among Karanogays, Siberian Nenets, Khantys, Mansis, Dolgans, Nganasans, and Siberian Tatars.

The west Eurasian R1a1a1b1a2b-CTS1211 subclade of R1a is most frequent in Eastern Europe especially among Slavic people. This Hg was detected just in the Conqueror group (K2/18, K2/41 and K1/10). Though CTS1211 was not covered in K2/36 but it may also belong to this sub-branch of Z283.

Hg I2a1a2b-L621 was present in 5 Conqueror samples, and a 6th sample form Magyarhomorog (MH/9) most likely also belongs here, as MH/9 is a likely kin of MH/16 (see below). This Hg of European origin is most prominent in the Balkans and Eastern Europe, especially among Slavic speaking groups. It might have been a major lineage of the Cucuteni-Trypillian culture and it was present in the Baden culture of the Chalcolithic Carpathian Basin.

hungarian-conquerors-y-dna
Image modified from the paper, with drawn red square around lineages of likely Ugric origin, and squares around R1a-Z93, R1a-Z283, N1a-Z1936, and N1a-M2004 samples. Y-Hg-s determined from 46 males grouped according to sample age, cemetery and Hg. Hg designations are given according to ISOGG Tree 2019. Grey shading designate distinguished individuals with rich grave goods, color shadings denote geographic origin of Hg-s according to Fig. 1. For samples K3/1 and K3/3 the innermost Hg defining marker U106* was not covered, but had been determined previously.

We identified potential relatives within Conqueror cemeteries but not between them. The uniform paternal lineages of the small Karos3 (19 graves) and Magyarhomorog (17 graves) cemeteries approve patrilinear organization of these communities. The identical I2a1a2b Hg-s of Magyarhomorog individuals appears to be frequent among high-ranking Conquerors, as the most distinguished graves in the Karos2 and 3 cemeteries also belong to this lineage. The Karos2 and Karos3 leaders were brothers with identical mitogenomes 11 and Y-chromosomal STR profiles (Fóthi unpublished). The Sárrétudvari commoner cemetery seems distinct from the others, containing other sorts of European Hg-s. Available Y-chromosomal and mtDNA data from this cemetery suggest that common people of the 10th century rather represented resident population than newcomers. The great diversity of Y Hg-s, mtDNA Hg-s, phenotypes and predicted biogeographic classifications of the Conquerors indicate that they were relatively recently associated from very diverse populations.

Surprising about the Hungarian conquerors – although in line with the historical accounts – is the varied patrilineal origin of clans, including Q1a, G2a2b, I1, E1b1b, R1b, J1, or J2 – some of which (depending on specific lineages) may have appeared earlier in the Carpathian Basin or south-eastern Europe.

However, out of the 27 conqueror elite samples, 17 are of haplogroups most likely related to Ugric populations beyond the Urals: R1a-Z645, I2-L621, and two specific N1a-L392 lineages (see below). In fact, there are three high-ranking conqueror elites of hg. I2-L621 (one of them termed a “leader”, brother to an unpublished leader of Karos3, and all of them possibly family), one of hg. R1a-Z280, one of hg. R1a-Z93 (which should be added to the Árpáds), and one of hg. N1a-Z1936, which gives a good idea of the ruling class among the elite Ugric settlers.

NOTE. The Q1a sample is also likely to be found in the mixed population of the West Siberian forest-steppes, since it was found in Mesolithic-Neolithic samples from eastern Europe to Lake Baikal, and in Bronze Age Siberian groups, although admittedly it may have formed part of an Avar Transtisza group, or even earlier Hunnic or Scythian groups along the steppes. Without precise subclades it’s impossible to know.

arrival-of-hungarians-arpad
The seven chieftains of the Hungarians, detail of Arrival of the Hungarians, from Árpád Feszty’s and his assistants’ vast (1800 m2) cyclorama, painted to celebrate the 1000th anniversary of the Magyar conquest of Hungary, now displayed at the Ópusztaszer National Heritage Park in Hungary. Image from Wikipedia.

I2a-L621

I2a-L621 (xS17250) or I2a1b2 in the old nomenclature, is found in 6 early conquerors (including one leader), on a par with R1a and N samples. This haplogroup is found widely distributed in ancient samples, due to its early split (formed ca. 9200 BC, TMRCA ca. 4500 BC) and expansion, probably with Neolithic populations. I can’t seem to find samples of this early haplogroup from the Carpathian Basin, as mentioned in the text, although it wouldn’t be strange, because it appears also in Neolithic Iberia, and in modern populations from western Europe.

Nevertheless, I2a-L621 samples seem to be concentrated mainly in Mesolithic-Neolithic cultures of Fennoscandia, and appeared also in Sikora et al. (2017) in a sample of the High Middle Ages from Sunghir (ca. AD 1100-1200), probably from the Vladimir-Suzdalian Rus’, in a region where clearly tribes of Volga Finns were being assimilated at the time. The reported SNP call by Genetiker is A16681 (see Yfull), deep within I2a-CTS10228. It is possibly also behind a modern Saami from Chalmny Varre (ca. AD 1800) of hg. I2a in Lamnidis et al. (2018).

Lacking precise subclades from Hungarian conquerors this is pure speculation, but modern samples may also point to I2a-CTS10228 (formed ca. 3100 BC, TMRCA ca. 1800 BC) as a Finno-Ugric lineage in common with R1a, which must have expanded to the Urals and beyond with eastern Corded Ware groups or (more likely) succeeding cultures. This is in line with the association of certain I2a lineages with modern Uralic peoples or populations from their historical regions in eastern Europe, and linked thus to the most likely homeland of Uralians in the eastern European forests:

uralic-groups-haplogroup-r1a
Additional file 6: Table S5. Y chromosome haplogroup frequencies in Eurasia. Modified by me: in bold haplogroup N1c and R1a from Uralic-speaking populations, with those in red showing where R1a is the major haplogroup. Observe that all Uralic subgroups – Finno-Permic, Ugric, and Samoyedic – have some populations with a majority of R1a, and also of I lineages. Data from Tambets et al. (2018).

R1a-Z645

Regarding the important question of the ethnic makeup of Ugric populations stemming from the Urals, the most interesting (and expected) data is the presence of R1a-Z645 lineages among high-ranking conquerors, in particular four R1a-Z280 subclades proper of Finno-Ugrians.

This proves that, in line with the old split and expansion of R1a-CTS1211 (formed ca. 2600 BC, TMRCA ca. 2400 BC), and its finding in Bronze Age Fennoscandian samples, only some late R1a-Z280 (xZ92) lineages (see Z280 on YFull) may show a clear identification with early acculturated Uralic speakers, with the main early acculturated Balto-Slavic R1a haplogroup remaining R1a-M458.

I recently hypothesized this late connection of Slavs with very specific R1a-Z280 (xZ92) lineages based on analyses of modern populations (like Slovenians), because the connection of ancient Finno-Ugrians with modern Z92 samples was already evident:

(…) subclades of hg. R1a1a1b1a2-Z280 (xR1a1a1b1a2a-Z92) seem to have also been involved in early Slavic expansions, like R1a1a1b1a2b3a-CTS3402 (formed ca. 2200 BC, TMRCA ca. 2200 BC), found among modern West, South, and East Slavic populations and in Fennoscandia, prevalent e.g. among modern Slovenians which points to a northern origin of its expansion (Maisano Delser et al. 2018).

This finding also supports the expected shared R1a-Z280 lineages among ancient Finno-Ugric populations, as predicted from the study of modern Permic and Ugric peoples in Dudás et al. (2019).

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 distribution of R1a-Z280 (xZ92), i.e. R1a-M558, compared to the ancient Finno-Ugric distribution.

Furthermore, while we don’t have precise R1a-Z93 lineages to compare with the new Hunnic sample reported, we already know that some archaic R1a-Z2124 subclades stem from the forest-steppe areas of the Cis- and Trans-Urals, and the two newly reported R1a-Z93 Hungarian conqueror elites, like those of the Árpád dynasty, probably belong to them.

There is an obvious lack of continuity in specific paternal lineages among the Hunnic, the Avar, and the Conqueror periods, which makes any simplistic identification of all R1a-Z93 lineages as stemming from Avars, Huns, or the Iron Age Pontic-Caspian steppes clearly flawed. Comparing R1a-Z93 in Hungarian Conquerors with Huns is like comparing them with samples of the Srubna or earlier periods… Similarly, comparing the Hunnic R1b-U106 or the early Avar I1 to later Hungarian samples is not warranted without precise subclades, because they most likely correspond to different Germanic populations: Goths among Huns, then Longobards, then likely peoples descended from Franks and Irish Monks (the latter with R1b-P312).

N1a-L392

Second behind R1a subclades are, as expected, N1a-L392 (N1c in the old nomenclature).

Avars are dominated by a specific N1a-L392 subclade, N1a-B197, as we recently discovered in Csáky et al. (2019).

Hungarian conquerors show three N1a-Z1936 subclades, which is known to stem from the northern Ural region, including the Arctic (likely Palaeo-Laplandic peoples) and cross-stamped cultures of the northern Eurasian forests.

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.

On the other hand, the two N1a-M2118 lineages are more clearly associated with Palaeo-Siberian populations east of the Urals, but became incorporated into the Ugric stock in the Trans-Urals region probably in the same way as N1a-Z1936, by infiltration from (and acculturation of) hunter-gatherers of forest and taiga cultures.

NOTE. You can read more about the infiltration of N1a lineages in the recent post Corded Ware—Uralic (IV): Hg R1a and N in Finno-Ugric and Samoyedic expansions, and in the specific sections for each Uralic group in A Clash of Chiefs.

haplogroup-n1a-M2118
Frequency-Distribution Maps of Individual Sub-clades of hg N3a2, by Ilumäe et al. (2016).

Conclusion

The picture offered by the paper on Hungarian Conquerors, while in line with historical accounts of multi-ethnic tribes incorporating regional lineages, shows nevertheless patrilineal clans clearly associated with Uralic peoples, in a distribution which could have been easily inferred from ancient Trans-Uralian forest-steppe cultures and modern samples (even regarding I2a-L621).

In spite of this, there is a great deal of discussion in the paper about specific N1a subclades in Hungarian conquerors, while the presence of R1a-Z280 (among early Magyar elites!) is interpreted, as always, as recently acculturated Slavs. This is sadly coupled with the simplistic identification of I2a-L621 as of local origin around the Carpathians.

The introduction of the paper to the history of Hungarians is also weird, for example giving credibility to the mythic accounts of the Árpád dynasty’s origin in Attila, which is in line, I guess, with what the authors intended to support all along, i.e. the association of Magyars with Turks from the Eurasian steppes, which they are apparently willing to achieve by relating them to haplogroup R1a-Z93

The conclusion is thus written to appease modern nation-building myths more than anything else, like many other papers before it:

It is generally accepted that the Hungarian language was brought to the Carpathian Basin by the Conquerors. Uralic speaking populations are characterized by a high frequency of Y-Hg N, which have often been interpreted as a genetic signal of shared ancestry. Indeed, recently a distinct shared ancestry component of likely Siberian origin was identified at the genomic level in these populations, modern Hungarians being a puzzling exception36. The Conqueror elite had a significant proportion of N Hgs, 7% of them carrying N1a1a1a1a4-M2118 and 10% N1a1a1a1a2-Z1936, both of which are present in Ugric speaking Khantys and Mansis. At the same time none of the examined Conquerors belonged to the L1034 subclade of Z1936, while all of the Khanty Z1936 lineages reported in 37 proved to be L1034 which has not been tested in the 23 study. Population genetic data rather position the Conqueror elite among Turkic groups, Bashkirs and Volga Tatars, in agreement with contemporary historical accounts which denominated the Conquerors as “Turks”. This does not exclude the possibility that the Hungarian language could also have been present in the obviously very heterogeneous, probably multiethnic Conqueror tribal alliance.

So, back to square one, and new circular reasoning: If ancient populations from north-eastern Europe believed to represent ancient Finno-Ugrians are of R1a-Z645 lineages, it’s because they were not Finno-Ugric speakers. If ancient and modern populations known to be of Finno-Ugric language show clear connections with R1a-Z645, it’s because they are “multi-ethnic”.

The only stable basis for discussion in genetic papers, apparently, is the own making of geneticists, with their traditional 2000s “R1a=Indo-European” and “N1c=Uralic”, coupled with national beliefs. It does not matter how many predictions based on that have been proven wrong, or how many predictions based on the Corded Ware = Uralic expansion have been proven right.

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Scytho-Siberians of Aldy-Bel and Sagly, of haplogroup R1a-Z93, Q1b-L54, and N

iron-age-sakas-aldy-bel-scythians

Recently, a paper described Eastern Scythian groups as “Uralic-Altaic” just because of the appearance of haplogroup N in two Pazyryk samples.

This simplistic identification is contested by the varied haplogroups found in early Altaic groups, by the early link of Cimmerians with the expansion of hg. N and Q, by the link of N1c-L392 in north-eastern Europe with Palaeo-Laplandic, and now (paradoxically) by the clear link between early Mongolic expansion and N1c-L392 subclades.

A new paper (behind paywall) offers insight into the prevalent presence of R1a-Z93 among eastern Scytho-Siberian groups (most likely including Samoyedic speakers in the forest-steppes), and a new hint to the westward expansion of haplogroups Q and N (probably coupled with the so-called “Siberian ancestry”) from the east with different groups of Iron Age steppe nomads:

Genetic kinship and admixture in Iron Age Scytho-Siberians, by Mary et al. Human Genetics (2019).

Interesting excerpts (emphasis mine):

From an archeological and historical point of view, the term “Scythians” refers to Iron Age nomadic or seminomadic populations characterized by the presence of three types of artifacts in male burials: typical weapons, specific horse harnesses and items decorated in the so-called “Animal Style”. This complex of goods has been termed the “Scythian triad” and was considered to be characteristic of nomadic groups belonging to the “Scythian World” (Yablonsky 2001). This “Scythian World” includes both the Classic (or European) Scythians from the North Pontic region (7th–3th century BC) and the Southern Siberian (or Asian) populations of the Scythian period (also called Scytho-Siberians). These include, among others, the Sakas from Kazakhstan, the Tagar population from the Minusinsk Basin (Republic of Khakassia), the Aldy-Bel population from Tuva (Russian Federation) and the Pazyryk and Sagly cultures from the Altai Mountains.

mtdna-scytho-siberians
Proportions of Scythian mtDNA haplogroups. Western (blue) and eastern (pink) Eurasian lineages are equally distributed in the Arzhan Scytho-Siberian sample. The U5a2a1 haplogroup shared between the two Scythian groups studied is in bold

In this work, we first aim to address the question of the familial and social organization of Scytho-Siberian groups by studying the genetic relationship of 29 individuals from the Aldy-Bel and Sagly cultures using autosomal STRs. (…) were obtained from 5 archeological sites located in the valley of the Eerbek river in Tuva Republic, Russia (Fig. 1). All the mounds of this archeological site were excavated but DNA samples were not collected from all of them. 14C dates mainly fall within the Hallstatt radiocarbon calibration plateau (ca. 800–400 cal BC) where the chronological resolution is poor. Only one date falls on an earlier segment of calibration curve: Le 9817–2650 ± 25 BP, i.e. 843–792 cal BC with a probability of 94.3% (using the OxCal v4.3.2 program). This sample (Bai-Dag 8, Kurgan 1, grave 10) is not from one of the graves studied but was used to date the kurgan as a whole.

Y-chromosome haplogroups were first assigned using the ISOGG 2018 nomenclature. In order to improve the precision of haplogroup definition, we also analyzed a set of Y-chromosome SNP (Supplementary Table 2). Nine samples belonged to the R1a-M513 haplogroup (defined by marker M513) and two of these nine samples were characterized as belonging to the R1a1a1b2-Z93 haplogroup or one of its subclades. Six samples belonged to the Q1b1a-L54 haplogroup and five of these six samples belonged to the Q1b1a3-L330 subclade. One sample belonged to the N-M231 haplogroup.

haplogroups-scythian-siberians

The distribution of these haplogroups in the population must be confronted with the prevalence of kinship among the samples. Although five individuals belonged to haplogroup Q1b1a3-L330, three of them (ARZ-T18, ARZ-T19 and ARZ-T20) were paternally related (Fig. 2). It must, therefore, be considered that haplogroup Q1b1a3-L330 is present in three independent instances (given that the remaining two instances exhibit no close familial relationship with other samples or one another). All five were buried on the Eki-Ottug 1 archaeological site (although in two different kurgans).

In the same way, although two groups, of two and three individuals, shared haplotypes belonging to the R1a-M513 haplogroup, these groups likely include a father/son pair (ARZ-T2 and ARZ-T12). Therefore, among nine R1a-M513 men, we found six independent haplotypes, one being present in two independent instances. All R1a-M513 haplotypes, however, including those attributed to the R1a1a1b2-Z93 subclade, only differed by one-step mutations, across 5 loci at most. All R1a-M513 individuals were buried on the same site, Eki-Ottug 2, in a single Kurgan.

y-haplogroups-r1a-n-q1b

Haplogroup R1a-M173 was previously reported for 6 Scytho-Siberian individuals from the Tagar culture (Keyser et al. 2009) and one Altaian Scytho-Siberian from the Sebÿstei site (Ricaut et al. 2004a), whereas haplogroup R1a1a1b2-Z93 (or R1a1a1b-S224) was described for one Scythian from Samara (Mathieson et al. 2015) and two Scytho-Siberians from Berel and the Tuva Republic (Unterländer et al. 2017). On the contrary, North Pontic Scythians were found to belong to the R1b1a1a2 haplogroup (Krzewińska et al. 2018), showing a distinction between the two groups of Scythians. (…) The absence of R1b lineages in the Scytho-Siberian individuals tested so far and their presence in the North Pontic Scythians suggest that these 2 groups had a completely different paternal lineage makeup with nearly no gene flow from male carriers between them.

The seven other male individuals studied in this work were found to carry Eastern Eurasian Y haplogroups Q1b1a and one of its subclades (n = 6) and N (n = 1). Haplogroup Q1b1a-L54 was previously described in four males from the Bronze Age in the Altai Mountains (Hollard et al. 2014, 2018) and was clearly associated with Siberian populations (Regueiro et al. 2013).

The N-M231 haplogroup emerged from haplogroup K in Southern Asia around 21,000 years BCE, maybe in Southern China (Shi et al. 2013; Ilumäe et al. 2016). Previous studies attested to its presence in samples from Neolithic and Bronze Age in China (Li et al. 2011; Cui et al. 2013). Waves of northwestern expansion of this haplogroup are described as beginning during the Paleolithic period (Derenko et al. 2006; Shi et al. 2013) but traces of this expansion in archeological samples were reported only in two Scytho-Siberian males from the Altai (Pilipenko et al. 2015).

The sample of haplogroup N comes from the Aldy-Bel culture (ARZ-T15), from the Eerbek site, but has no radiocarbon date. All Q1b-L330 samples come from the Sagly culture, and three are paternally related. The other Q1b-L54 sample is from other tombs in one kurgan at Aldy Bel.

It seems that – exactly as expected – different waves of steppe nomads brought different lineages at a time (the Iron Age) when many regions incorporated different eastern lineages without necessarily changing language. Just like the expansion of N among Ugrians and Samoyeds, and N1c among Finno-Permic peoples, and like many other lineages expanding with federation-like groups in eastern, central, and western Europe

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