Happy new year 2019…and enjoy our new books!


Sorry for the last weeks of silence, I have been rather busy lately. I am having more projects going on, and (because of that) I also wanted to finish a project I have been working on for many months already.

I have therefore decided to publish a provisional version of the text, in the hope that it will be useful in the following months, when I won’t be able to update it as often as I would like to:

A Song of Sheep and Horses

Don’t forget to check out the maps included in the supplementary materials (I have added Y-DNA, mtDNA, and ADMIXTURE data using GIS software).

NOTE. Right now the files are only in my server. I will try to upload them to Academia.edu and Research Gate when I have time, in case the websites are too slow.

I would have preferred to wait for a thorough revision of the section on archaeology and the linguistic sections on Uralic, but I doubt I will have time when the reviews come, so it was either now or maybe next December…

I say so in the introduction, but it is evident that certain aspects of the book are tentative to say the least: the farther back we go from Late Proto-Indo-European, the less clear are many aspects. Also, linguistically I am not convinced about Eurasiatic or Nostratic, although they do have a certain interest when we try to offer a comprehensive view of the past, including ethnolinguistic identities.

I cannot be an expert in everything, and these books cover a lot. I am bound to publish many corrections as new information appears and more reviews are sent. For example, just days ago (before SNP calls of Wang et al. 2018 were published) some paragraphs implied that AME might have expanded Nostratic from the Middle East. Now it does not seem so, and I changed them just before uploading the text. That’s how tentative certain routes are, and how much all of this may change. And that only if we accept a Nostratic phylum…

NOTE. Since the first book I wrote was the linguistic one, and I have spent the last months updating the archaeology + genetics part, now many of you will probably understand 1) why I am so convinced about certain language relationships and 2) how I used many posts to clarify certain ideas and receive comments. Many posts offer probably a good timeline of what I worked with, and when.


I did not add this section to the books, because they are still not ready for print, but I think this is due somewhere now. It is impossible to reference all who have directly or indirectly contributed to this, so this is a list of those I feel have played an important role.

I am indebted to the following people (which does not mean that they share my views, obviously):

First and foremost, to Fernando López-Menchero, for having the patience to review with detail many parts on Indo-European linguistics, knowing that I won’t accept many of his comments anyway. The additional information he offers is invaluable, but I didn’t want to turn this into a huge linguistic encyclopaedia with unending discussions of tiny details of each reconstructed word. I think it is already too big as it is.

Professor Kortlandt is still to review the text, but he contributed to both previous essays in some very interesting ways, so I hope he can help me improve the parts on Uralic, and maybe alternative accounts of expansion for Balto-Slavic, depending on the time depth that he would consider warranted according to the Temematic hypothesis.

I would not have thought about doing this if it were not for the interest of Wekwos (Xavier Delamarre) in publishing a full book about the Indo-European demic diffusion model (in the second half of 2017, I think). It was them who suggested that I extended the content, when all I had done until then was write an essay and draw some maps in my free time between depositing the PhD thesis and defending it.

Sadly, as much as I would like to publish a book with a professional publisher, I don’t think ancient DNA lends itself for the traditional format, so my requests (mainly to have free licenses and being able to review the text at will, as new genetic papers are published) were logically not acceptable. Also, the main aim of all volumes, especially the linguistic one, is the teaching of essentials of Late Proto-Indo-European and related languages, and this objective would be thwarted by selling each volume for $50-70 and only in printed format. I prefer a wider distribution.

At first I didn’t think much of this proposal, because I do not benefit from this kind of publications in my scientific field, but with time my interest in writing a whole, comprehensive book on the subject grew to the point where it was already an ongoing project, probably by the start of 2018.

I would not have been in contact with Wekwos if it were not for user Camulogène Rix at Anthrogenica, so thanks for that and for the interest in this work.

I would not have thought of writing this either if not for the spontaneous support (with an unexpected phone call!) of a professor of the Complutense University of Madrid, Ángel Gómez Moreno, who is interested in this subject – as is his wife, a professor of Classics more closely associated to Indo-European studies, and who helped me with a search for Indo-Europeanists.

EDIT (1 JAN 2019): I remembered that Karin Bojs sent me her book after reading the demic diffusion model. I may have also thought about writing a whole book back then, but mid-2017 is probably too early for the project.

The maps are evidently (for those who are interested in genetics) in part the result of the effort of the late Jean Manco: As you can see from the maps including Y-DNA and mtDNA samples, I have benefitted from her way of organising data and publishing it. Similarly, the work of Iain McDonald in assessing the potential migration routes of R1b and R1a in Europe with the help of detailed maps was behind my idea for the first maps, and consequently behind these, too.

I should thank all people responsible for the release of free datasets to work with, including the Reich and Jena labs, the Veeramah Lab, and also researchers from the Max Planck Institute or the Mainz Palaeogenetics group, who didn’t mind to share with me datasets to work with.

Readers of this blog with interesting comments have also been essential for the improvement of the texts. You can probably see some of your many contributions there. I may not answer many comments, because I am always busy (and sometimes I just don’t have anything interesting to say), but I try to read all of them.

EDIT (1 JAN 2019) I think I should mention at least Chetan, Egg, or Robert George; but then I would leave out old europe, Sgr Ganesh, or Tileman Ehlen; and if I include them I would leave out others…

Users of other sites, like Anthrogenica, whose particular points of view and deep knowledge of some very specific aspects are sometimes very useful. In particular, user Anglesqueville helped me to fix some issues with the merging of datasets to obtain the PCAs and ADMIXTURE, and prepared some individual samples to merge them.

Even without posting anything, Google Analytics keeps sending me messages about increasing user fidelity (returning users), and stats haven’t really changed (which probably means more people are reading old posts), so thank you for that.

I hope you enjoy the books.

Happy new year!

Minimal gene flow from western pastoralists in the Bronze Age eastern steppes


Open access paper Bronze Age population dynamics and the rise of dairy pastoralism on the eastern Eurasian steppe, by Jeong et al. PNAS (2018).

Interesting excerpts (emphasis mine):

To understand the population history and context of dairy pastoralism in the eastern Eurasian steppe, we applied genomic and proteomic analyses to individuals buried in Late Bronze Age (LBA) burial mounds associated with the Deer Stone-Khirigsuur Complex (DSKC) in northern Mongolia. To date, DSKC sites contain the clearest and most direct evidence for animal pastoralism in the Eastern steppe before ca. 1200 BCE.

Most LBA Khövsgöls are projected on top of modern Tuvinians or Altaians, who reside in neighboring regions. In comparison with other ancient individuals, they are also close to but slightly displaced from temporally earlier Neolithic and Early Bronze Age (EBA) populations from the Shamanka II cemetry (Shamanka_EN and Shamanka_EBA, respectively) from the Lake Baikal region. However, when Native Americans are added to PC calculation, we observe that LBA Khövsgöls are displaced from modern neighbors toward Native Americans along PC2, occupying a space not overlapping with any contemporary population. Such an upward shift on PC2 is also observed in the ancient Baikal populations from the Neolithic to EBA and in the Bronze Age individuals from the Altai associated with Okunevo and Karasuk cultures.

Image modified from the article. Karasuk cluster in green, closely related to sample ARS026 in red. Principal Component Analysis (PCA) of selected 2,077 contemporary Eurasians belonging to 149 groups. Contemporary individuals are plotted using three-letter abbreviations for operational group IDs. Group IDs color coded by geographic region. Ancient Khövsgöl individuals and other selected ancient groups are represented on the plot by filled shapes. Ancient individuals are projected onto the PC space using the “lsqproject: YES” option in the smartpca program to minimize the impact of high genotype missing rate.

(…) two individuals fall on the PC space markedly separated from the others: ARS017 is placed close to ancient and modern northeast Asians, such as early Neolithic individuals from the Devil’s Gate archaeological site (22) and present-day Nivhs from the Russian far east, while ARS026 falls midway between the main cluster and western Eurasians.

Upper Paleolithic Siberians from nearby Afontova Gora and Mal’ta archaeological sites (AG3 and MA-1, respectively) (25, 26) have the highest extra affinity with the main cluster compared with other groups, including the eastern outlier ARS017, the early Neolithic Shamanka_EN, and present-day Nganasans and Tuvinians (Z > 6.7 SE for AG3). Main cluster Khövsgöl individuals mostly belong to Siberian mitochondrial (A, B, C, D, and G) and Y (all Q1a but one N1c1a) haplogroups.

The genetic affinity of the Khövsgöl clusters measured by outgroup-f3 and -f4 statistics. (A) The top 20 populations sharing the highest amount of >genetic drift with the Khövsgöl main cluster measured by f3(Mbuti; Khövsgöl, X). (B) The top 15 populations with the most extra affinity with each of the three Khövsgöl clusters in contrast to Tuvinian (for the main cluster) or to the main cluster (for the two outliers), measured by f4(Mbuti, X; Tuvinian/Khövsgöl, Khövsgöl/ARS017/ARS026). Ancient and contemporary groups are marked by squares and circles, respectively. Darker shades represent a larger f4 statistic.

Previous studies show a close genetic relationship between WSH populations and ANE ancestry, as Yamnaya and Afanasievo are modeled as a roughly equal mixture of early Holocene Iranian/ Caucasus ancestry (IRC) and Mesolithic Eastern European hunter-gatherers, the latter of which derive a large fraction of their ancestry from ANE. It is therefore important to pinpoint the source of ANE-related ancestry in the Khövsgöl gene pool: that is, whether it derives from a pre-Bronze Age ANE population (such as the one represented by AG3) or from a Bronze Age WSH population that has both ANE and IRC ancestry.

The amount of WSH contribution remains small (e.g., 6.4 ± 1.0% from Sintashta). Assuming that the early Neolithic populations of the Khövsgöl region resembled those of the nearby Baikal region, we conclude that the Khövsgöl main cluster obtained ∼11% of their ancestry from an ANE source during the Neolithic period and a much smaller contribution of WSH ancestry (4–7%) beginning in the early Bronze Age.

Admixture modeling of Altai populations and the Khövsgöl main cluster using qpAdm. For the archaeological populations, (A) Shamanka_EBA and (B and C) Khövsgöl, each colored block represents the proportion of ancestry derived from a corresponding ancestry source in the legend. Error bars show 1 SE. (A) Shamanka_EBA is modeled as a mixture of Shamanka_EN and AG3. The Khövsgöl main cluster is modeled as (B) a two-way admixture of Shamanka_EBA+Sintashta and (C) a three-way admixture Shamanka_EN+AG3+Sintashta.

Apparently, then, the first individual with substantial WSH ancestry in the Khövsgöl population (ARS026, of haplogroup R1a-Z2123), directly dated to 1130–900 BC, is consistent with the first appearance of admixed forest-steppe-related populations like Karasuk (ca. 1200-800 BC) in the Altai. Interestingly, haplogroup N1a1a-M178 pops up (with mtDNA U5a2d1) among the earlier Khövsgöl samples.

I will repeat what I wrote recently here: Samoyedic arrived in the Altai with Karasuk and hg R1a-Z645 + Steppe_MLBA-like ancestry, admixed with Altai populations, clustering thus within an Ancient Altai cline. Only later did N1a1a subclades infiltrate Samoyedic (and Ugric) populations, bringing them closer to their modern Palaeo-Siberian cline. The shared mtDNA may support an ancestral EHG-“Siberian” cline, or else a more recent Afanasevo-related origin.

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

Also interesting, Q1a2 subclades and ANE ancestry making its appearance everywhere among ancestral Eurasian peoples, as Chetan recently pointed out.


Mongolian tribes cluster with East Asians, closely related to the Japanese


New paper behind paywall Whole-genome sequencing of 175 Mongolians uncovers population-specific genetic architecture and gene flow throughout North and East Asia, by Bai et al Nature Genetics (2018).

Interesting excerpts (emphasis mine):

Genome sequencing, variant calling, and construction of the Mongolian reference panel. We collected peripheral blood with informed consent from 175 Mongolian individuals representing six distinct tribes/regions in northern China and Mongolia, including the Abaga, Khalkha, Oirat, Buryat, Sonid, and Horchin tribes.

Population genetic structure. a, PCA of Mongolian individuals and 1000G samples. Mongolians fill a large, less characterized gap between Admixed/Native Americans and other East Asians in the 1000G project. b, PCA of Mongolians and East Asians of 1000G. The abbreviations of EAS populations were used from reference 11.

The fixation index (FST) was used to estimate pairwise genetic differentiation among our Mongolian samples and 26 modern human populations selected from 1000G (…) the Mongolian tribes cluster with East Asian groups. The Mongolian populations show the smallest differentiation from the CHB, and FST values increase relative to the magnitude of geographical separation. The Buryat are the most differentiated tribe compared with other East Asians (1.82–2.97%), while the Horchin are the least (0.25–1.35%). All tribes are closer to the Japanese (JPT) than the CHS with the exception of the Horchin. Among the tribes, the Abaga, Khalkha, Oirat, and Sonid show the least differentiation from one another (FST < 0.15%)

A PCA places the Mongolians in close genetic proximity to a group of North Asian Siberians, including Altaians, Tuvinians, Evenki, and Yakut, indicating that the Mongolian whole-genome variation panel could be a better proxy for these groups than any populations currently in the 1000G panel

The most common Y-chromosome haplogroups are from the C3 sublineage (41.67%), including C3c (29.17%) and C3b (12.50%), followed by haplogroup O (23.61%), and haplogroup N (18.06%) (…) While haplogroups C and O are primarily restricted to Asia, haplogroup N is present at high frequency in Finns (60.5%), at low frequency in non-Mongolian East Asians (< 1%), and virtually absent throughout the remainder of European and African samples in 1000G

Comparison with Finns

Distribution of D-values from D-test under the model of [EAS, Mongolians, X, chimpanzee], where X represents the test population and chimpanzee serves as an outgroup. The positive D-value (Z > 3) indicates that the test population (X) is closer to Mongolians than to EAS. The whiskers correspond to range, and the dots to individual data points, box limits are the upper and lower quartiles. The n in each boxplot is 30. All abbreviations of populations in the figure were used from reference 11.

Of the populations included in our study, Mongolians share the second-highest level of IBD with the Finnish people (FIN), behind only Northern Han Chinese (CHB). While Mongolians share more IBD with Europeans (EUR) as a whole compared with other non-EAS people (Fig. 4b), removal of Finns from the Europeans drops the level of sharing to as low as that with South Asians (SAS) or Admixed American (AMR).

There is considerable geographic separation between modern-day Mongolians and Europe. The positive D-statistic that reveal gene flow between Mongolians and Europeans (Fig. 4c), and the high degree of IBD sharing with Finnish people in particular suggest that complex admixture may have occurred throughout northeastern Europe and Siberia. To see whether Mongolians represent the ethnic group in East Asia with the highest level of gene flow with Finnish people, we calculated a D-statistic for each set of populations [Mongolians, X, FIN, Yoruba (YRI)], where X represents a population from Siberia or Northern Canada. Most of the populations reveal an imbalance in allele frequencies that suggests gene flow with Finns (D >0, Z >3), but the greatest imbalance is observed between Siberians/Northern Canadians and Finnish, rather than between Mongolians and Finns. This pattern indicates that northern Asian populations interacted across large geographic ranges.

6 migration events, from the supplementary materials.

I guess the 1000G does not have northern Eurasian groups, because the IBD map and values would be lightening up with Palaeo-Siberian peoples


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


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

An Eastern Uralic group?

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


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

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

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

c) derives phonologically from the East Uralic dialect.

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


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

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

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

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

Schematic map of the Middle Bronze Age cultures (steppe and foreststeppe

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

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

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

Regarding the most likely expansion of Eastern Uralic peoples:

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

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


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

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

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

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

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


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

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

Map showing the location of Chicha-1.

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


Siberian ancestry

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Modern populations

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

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

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

There are potential errors with this approach:

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

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

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

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

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

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

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

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

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

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

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

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

Ancient populations

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

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

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

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

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

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

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

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

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

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

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

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

We already have some information about these later migrations:

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

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

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

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

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

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

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

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

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

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

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

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

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

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


  • The traditional multilingualism of Siberian populations
  • Iron Age bottleneck of the Proto-Fennic population in Estonia
  • Y-DNA haplogroups of Tuvinian tribes show little effect of the Mongol expansion
  • Corded Ware—Uralic (I): Differences and similarities with Yamna
  • Haplogroup R1a and CWC ancestry predominate in Fennic, Ugric, and Samoyedic groups
  • The Iron Age expansion of Southern Siberian groups and ancestry with Scythians
  • Evolution of Steppe, Neolithic, and Siberian ancestry in Eurasia (ISBA 8, 19th Sep)
  • Mitogenomes from Avar nomadic elite show Inner Asian origin
  • On the origin and spread of haplogroup R1a-Z645 from eastern Europe
  • Oldest N1c1a1a-L392 samples and Siberian ancestry in Bronze Age Fennoscandia
  • Consequences of Damgaard et al. 2018 (III): Proto-Finno-Ugric & Proto-Indo-Iranian in the North Caspian region
  • The concept of “Outlier” in Human Ancestry (III): Late Neolithic samples from the Baltic region and origins of the Corded Ware culture
  • Genetic prehistory of the Baltic Sea region and Y-DNA: Corded Ware and R1a-Z645, Bronze Age and N1c
  • More evidence on the recent arrival of haplogroup N and gradual replacement of R1a lineages in North-Eastern Europe
  • Another hint at the role of Corded Ware peoples in spreading Uralic languages into north-eastern Europe, found in mtDNA analysis of the Finnish population
  • New Ukraine Eneolithic sample from late Sredni Stog, near homeland of the Corded Ware culture
  • The Tungusic Ulchi population probably linked to haplogroup C2b1a


    New paper (behind paywall) Demographic and Genetic Portraits of the Ulchi Population, by Balanovska et al. Russian Journal of Genetics (2018) 54(10):1245–1253.

    Interesting excerpts (emphasis mine):

    Marital structure. The intensity of interethnic marriages puts the existence of the Ulchi population at risk. The colorful ethnic composition of the Ulchi settlements is reflected in the marriage structure [see featured image]. We found that the proportion of single-ethnic marriages of the Ulchi is on average 51%. The greatest number of such marriages takes place in the village of Bulava. Marriages of Ulchi with Russians are in second place. Marriages with indigenous peoples of the Far East, Nanais, Nivkhs, Evenks, and others, are in third place. Thus, almost half of the Ulchi marriages are with representatives of other nationalities. Such a significant level of interethnic mixing makes it possible to talk about intense processes of assimilation of this indigenous people and puts to the forefront the problem of loss of the unique gene pool of the Ulchi.

    Haplogroup C (its branch M48) was genotyped for its five subbranches with markers M86, B470, F13686, B93, and the marker at position 16645386 (GRCh37), which was found by our team for the first time. Variant B93 is rare in the Ulchi, and 14 samples (that is, more than a quarter of the entire gene pool of the Ulchi, Fig. 2) belong to M86 and its subvariants. Therefore, we genotyped STR markers of C-M86 carriers for the Ulchi and neighboring Amur populations and analyzed the relationships of detected haplotypes on the phylogenetic network (Fig. 3, STR haplotypes are available from authors upon request).

    (…) On the network, different clusters are associated with different populations: most Mongols belong to F13686, all Evenks of the Amur River region with this haplogroup form a subcluster within F13686, and part of Upper Nanais is the basis of cluster B470.

    Frequencies of haplogroups of Y chromosome in the Ulchi population. The nomenclature of haplogroups is given according to [9]. Markers that are not in bold type were not typed, but are ancestral for these nodes.

    An estimate of the age of the entire haplogroup C-F12355 obtained from the data of genome-wide sequencing of seven specimens is 2400 ± 500 years (O.P. Balanovsky, unpublished data). That is, the common ancestor of all the studied representatives of various peoples with this haplogroup lived not so long ago, the first millennium BC. The formation time of cluster F13686 is somewhat later: 1990 ± 600 years.

    (…) obvious traces of the interaction of the gene pool of the Ulchi with neighboring and remote peoples of the Far East and Central Asia in the time range of the last one to three thousand years were revealed. This shows that the results of work [4] on the similarity of the gene pool of the ancient (age of 7500 years) Neolithic genomes of the Amur River region to the Ulchi probably indicate not the uniqueness of the Ulchi, but the fact that this ancient gene pool was preserved in a vast circle of populations of the Far East interwoven with gene flows both with each other and, to a lesser extent, with populations of Central Asia.

    The expansion of C2b1a2a-M86 (among many basal C2-M217 samples) is thus possibly associated with the spread of Tungusic, which puts C2b1a at the root of the Micro-Altaic expansion, with a formation date ca. 12700 BC, TMRCA 12500 BC (and not only Mongolian). This shows that Micro-Altaic is connected with a local population which shows a clear continuity since at least 3500 BC. This, however, tells us little about the origin of the language.

    See also the recent ISBA presentation on the Houtaomuga site, Neolithic transition in Northeast Asia; and also Bronze Age population dynamics and rise of dairy pastoralism in Mongolia, Impact of colonization in north-eastern Siberia

    That leaves the ancestral N lineages found among Far East Asians as Palaeo-Siberian in origin, and their late expansions to the west not particularly linked with any of the known Palaeo-Siberian ethnolinguistic groups, let alone a supposed “Uralo-Altaic” language…


    The Iron Age expansion of Southern Siberian groups and ancestry with Scythians


    Maternal genetic features of the Iron Age Tagar population from Southern Siberia (1st millennium BC), by Pilipenko et al. (2018).

    Interesting excerpts (emphasis mine):

    The positions of non-Tagar Iron Age groups in the MDS plot were correlated with their geographic position within the Eurasian steppe belt and with frequencies of Western and Eastern Eurasian mtDNA lineages in their gene pools. Series from chronological Tagar stages (similar to the overall Tagar series) were located within the genetic variability (in terms of mtDNA) of Scythian World nomadic groups (Figs 5 and 6; S4 and S6 Tables). Specifically, the Early Tagar series was more similar to western nomads (North Pontic Scythians), while the Middle Tagar was more similar to the Southern Siberian populations of the Scythian period. The Late Tagar group (Tes`culture) belonging to the Early Xiongnu period had the “western-most” location on the MDS plot with the maximal genetic difference from Xiongnu and other eastern nomadic groups (but see Discussion concerning the low sample size for the Tes`series).

    In a comparison of our Tagar series with modern populations in Eurasia, we detected similarity between the Tagar group and some modern Turkic-speaking populations (with the exception of the Indo-Iranian Tajik population) (Fig 7; S2 Table). Among the modern Turkic-speaking groups, populations from the western part of the Eurasian steppe belt, such as Bashkirs from the Volga-Ural region and Siberian Tatars from the West Siberian forest-steppe zone, were more similar to the Tagar group than modern Turkic-speaking populations of the Altay-Sayan mountain system (including the Khakassians from the Minusinsk basin) (Fig 7).

    Location of Tagar archaeological sites from which samples for this study were obtained. Burial grounds: 1—Novaya Chernaya-1; 2—Podgornoe Ozero, Barsuchiha-1, Barsuchiha-6, Barsuchiha-7; 3—Perevozinskiy; 4—Ulug-Kyuzyur, Kichik-Kyuzyur, Sovetskaya Khakassiya; 5—Tepsey-3, Tepsey-8, Tepsey-9; 6—Dolgiy Kurgan. https://doi.org/10.1371/journal.pone.0204062.g001

    Mitochondrial DNA diversity and genetic relationships of the Tagar population

    Our results are not inconsistent with the assumption of a probable role of gene flow due to the migration from Western Eurasia to the Minusinsk basin in the Bronze Age in the formation of the genetic composition of the Tagar population. Particularly, we detected many mtDNA lineages/clusters with probable West Eurasian origin that were dominant in modern populations of different parts of Europe, Caucasus, and the Near East (such as K and HV6) in our Tagar series based on a phylogeographic analysis.

    We detected relatively low genetic distances between our Tagar population and two Bronze Age populations from the Minusinsk basin—the Okunevo culture population (pre-Andronovo Bronze Age) and Andronovo culture population, followed by Afanasievo population from the Minusinsk Basin and Middle Bronze Age population from the Mongolian Altai Mountains (the region adjacent to the Minusinsk basin) (Figs 3 and 6; S3 and S5 Tables). Among West Eurasian part of our Tagar series we also observed haplogroups/sub-haplogroups and haplotypes shared with Early and Middle Bronze Age populations from Minusinsk Basin and western part of Eurasian steppe belt (Fig 4; S5 Table). Thus, our results suggested a potentially significant role of the genetic components, introduced by migrants from Western Eurasia during the Bronze Age, in the formation of the genetic composition of the Tagar population. It is necessary to note the relatively small size of available mtDNA samples from the Bronze Age populations of Minusinsk basin; accordingly, additional mtDNA data for these populations are required to further confirm our inference.

    Phylogenetic tree of mtDNA lineages from the Tagar population. Color coding of the Tagar stages: orange—the Early Tagar stage; blue—the Middle Tagar Stage; green—the Late Tagar stage. Color of haplogroup labels: yellow—for Western Eurasian haplogroups; red—for Eastern Eurasian haplogroups. https://doi.org/10.1371/journal.pone.0204062.g002

    Another substantial part of the mtDNA pool of the Tagar and other eastern populations of the Scythian World is typical of populations in Southern Siberia and adjacent regions of Central Asia (autochthonous Central Asian mtDNA clusters). Most of these components belong to the East Eurasian cluster of mtDNA haplogroups. Moreover, the role of each of these components in the formation of the genetic composition of subsequent (to the present) populations in South Siberia and Central Asia could be very different. In this regard, cluster C4a2a (and its subcluster C4a2a1), and haplogroup A8 are of particular interest.

    Genetic features of successive Tagar groups

    We compared successive Tagar groups (Early, Middle, and Late Tagar) with each other and with other Iron Age nomadic populations to evaluate changes in the mtDNA pool structure. Despite the genetic similarity between the Early and Middle Tagar series and Scythian World nomadic groups (Figs 5 and 6; S4 and S6 Tables), there were some peculiarities. For example, the Early Tagar series was more similar to North Pontic Classic Scythians, while the Middle Tagar samples were more similar to the Southern Siberian populations of the Scythian period (i.e., completely synchronous populations of regions neighboring the Minusinsk basin, such as the Pazyryk population from the Altay Mountains and Aldy-Bel population from Tuva).

    We observed differences in the mtDNA pool structure between the Early and the Middle chronological stages of the Tagar culture population, as evidenced by the change in the ratio of Western to Eastern Eurasian mtDNA components. The contribution of Eastern Eurasian lineages increased from about one-third (34.8%) in the Early Tagar group to almost one-half (45.8%) in the Middle Tagar group.

    Results of multidimensional scaling based on matrix of Slatkin population differentiation (FST) according to frequencies of mtDNA haplogroup in Tagar populations and modern populations of Eurasia. Populations: Tagar (red pentagon) (this study); Mongolian-speaking populations: Khamnigans (Buryat Republic, Russia) [43]; Barghuts (Inner Mongolia, China) [44]; Buryats (Buryat Republic, Southern Siberia, Russia) [43]; Mongols (Mongolia) [45]. Turkic-speaking populations: Tuvinians (Tuva Republic, Russia) [43]; Tofalars (Irkutsk region, Russia) [46]; Altai-Kizhi ((Altai Republic, Russia) [43, 47]; Telenghits (Altai Republic, Russia) [43,47]; Tubalars (Altai Republic) [48]; Shors (Kemerovo region, Russia) [43, 47]; Khakassians (Khakassian Rupublic, Russia) [43, 46]; Altaian Kazakhs (Altai Republic) [49]; Kazakhs (Kazakhstan, Uzbekistan) [50, 51]; Kirghiz (Kyrgyzstan) [50, 51]; Uighurs (Kazakhstan and Xinjiang) [50, 52]; Siberian Tatars (Tyumen and Omsk regions, Russia) [53]; Tatars (Volga-Ural rigion, Russia) [54]; Bashkirs (Volga-Ural region, Russia) [55]; Uzbeks (Uzbekistan) [51, 56]; Turkmens (Turkmenistan) [51, 56]; Nogays [57]; Turkeys [58]; other populations: Evenks [43, 46]; Ulchi [59]; Koreans (South Korea) [43]; Han Chinese [60]; Zhuang (Guangxi, China) [61]; Tadjiks (Tadjikistan) [43, 51]; Iranians [60]; Russians [62]. https://doi.org/10.1371/journal.pone.0204062.g007

    At the level of mtDNA haplogroups, we detected a decrease in the diversity of phylogenetic clusters during the transition from the Early Tagar to the Middle Tagar. This decline in diversity equally affected the West Eurasian and East Eurasian components of the Tagar mtDNA pool. It should be noted that this decrease can be partially explained by the smaller number of Middle Tagar than Early Tagar samples. Under a simple binomial approximation the mtDNA clusters, observed at frequencies of 6.3% and 11.7%, could be lost by chance in our Early (N = 46) and Middle (N = 24) Tagar samples, respectively. However, the simultaneous lack of several such clusters, with a total frequency in the gene pool of the Early group of 34.8%, is unlikely.

    The observed reduction in the genetic distance between the Middle Tagar population and other Scythian-like populations of Southern Siberia(Fig 5; S4 Table), in our opinion, is primarily associated with an increase in the role of East Eurasian mtDNA lineages in the gene pool (up to nearly half of the gene pool) and a substantial increase in the joint frequency of haplogroups C and D (from 8.7% in the Early Tagar series to 37.5% in the Middle Tagar series). These features are characteristic of many ancient and modern populations of Southern Siberia and adjacent regions of Central Asia, including the Pazyryk population of the Altai Mountains. We did not obtain strong evidence for an intensification of genetic contact between the population of the Minusinsk basin and the Altai Mountains in the Middle Tagar period compared with the Early Tagar period. Although, several archaeologists have found evidence for the intensification of contact at the level of material culture, namely, a cultural influence of the population of the Altai Mountains (represented by the Pazyryk population) on the population of the Minusinsk basin (the Saragash Tagar group) [6, 71, 72].

    Another important issue is the change in the genetic structure of the Tagar population during the transition from the Middle (Saragash) to the Late (Tes`) stage. The Late Tagar stage refers to the Xiongnu period. Many archaeologists suggest that the formation of the Tes`stage involved the direct cultural influence of the Xiongnu and/or related groups of nomads from more eastern regions of Central Asia [71, 73]. Some archaeologists have even suggested renaming the Tes`stage in the Tes`culture [71], emphasizing the role of new eastern cultural elements. If this influence also existed at the genetic level, then we would expect to observe new genetic elements in the Tes`gene pool, particularly those of East Eurasian origin.

    Siberian ancestry

    Just a reminder of the recent session in ISBA 8 on expanding Scythians (and also Mongolians and Turks) spreading Siberian ancestry, usually (wrongly) identified as “Uralic-Yeniseian” based on modern populations (similar to how steppe ancestry is wrongly identified as “Indo-European”), see the following graphic including the Tagar population:

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

    And also the poster by Alexander M. Kim et al. Yeniseian hypotheses in light of genome-wide ancient DNA from historical Siberia:

    The relevance of ancient DNA data to debates in historical linguistics is an emphatic strand in much recent work on the archaeogenetics of Eurasia, where the discussion has focused heavily on Indo-European (Haak et al. 2015; Narasimhan et al. 2018; de Barros Damgaard et al. 2018a,b). We present new genome-wide ancient DNA data from a historical Siberian individual in relation to Yeniseian, an isolated language “microfamily” (Vajda 2014) that nonetheless sits at the center of numerous controversial proposals in historical linguistics and cultural interaction. Yeniseian’s sole surviving representative is Ket, a critically endangered language fluently spoken by only a few dozen individuals near the Middle Yenisei River of Central Siberia.

    In strong contrast to the present-day picture, river names and argued substrate influences and loanwords in languages outside the current range of Yeniseian, as well as direct records from the Russian colonial period, indicate that speakers of extinct Yeniseian languages had a formerly much broader presence in the taiga of Central Siberia as well as further south in the mountainous Altai-Sayan region – and perhaps even further afield in Inner Asia (Vajda 2010; Gorbachov 2017; Blažek 2016). The consilience of these proposals with genetic data is not straightforward (Flegontov et al. 2015, 2017) and faces a major obstacle in the lack of genetic information from verifiable speakers of Yeniseian languages other than the Kets, who have had complex ongoing interactions with speakers of non-Yeniseian languages such as the Samoyedic Selkups. We attempt to remedy this with new historical Siberian aDNA data, orienting our search for common denominators and systematic difference in a broader landscape of concordance, discordance, and uncertainty at the interface of diachronic linguistics and genetics.


    Evolution of Steppe, Neolithic, and Siberian ancestry in Eurasia (ISBA 8, 19th Sep)


    Some information is already available from ISBA 8 (see programme in PDF), thanks to the tweets from Alexander M. Kim.

    Official abstracts are listed first (emphasis mine), then reports and images with link to Kim’s tweets. Here is the list for quick access:

    Updates (17:00 CET):

    Turkic and Hunnic expansions

    Tracing the origin and expansion of the Turkic and Hunnic confederations, by Flegontov et al.

    Turkic-speaking populations, now spread over a vast area in Asia, are highly heterogeneous genetically. The first confederation unequivocally attributed to them was established by the Göktürks in the 6th c. CE. Notwithstanding written resources from neighboring sedentary societies such as Chinese, Persian, Indian and Eastern Roman, earlier history of the Turkic speakers remains debatable, including their potential connections to the Xiongnu and Huns, which dominated the Eurasian steppe in the first half of the 1st millennium CE. To answer these questions, we co-analyzed newly generated human genome-wide data from Central Asia (the 1240K panel), spanning the period from ca. 3000 to 500 YBP, and the data published by de Barros Damgaard et al. (137 ancient human genomes from across the Eurasian steppes, Nature, 2018). Firstly, we generated a PCA projection to understand genetic affinities of ancient individuals with respect to present-day Tungusic, Mongolic, Turkic, Uralic, and Yeniseian-speaking groups. Secondly, we modeled hundreds of present-day and few ancient Turkic individuals using the qpAdm tool, testing various modern/ancient Siberian and ancient West Eurasian proxies for ancestry sources.

    A majority of Turkic speakers in Central Asia, Siberia and further to the west share the same ancestry profile, being a mixture of Tungusic or Mongolic speakers and genetically West Eurasian populations of Central Asia in the early 1st millennium CE. The latter are themselves modelled as a mixture of Iron Age nomads (western Scythians or Sarmatians) and ancient Caucasians or Iranian farmers. For some Turkic groups in the Urals and the Altai regions and in the Volga basin, a different admixture model fits the data: the same West Eurasian source + Uralic- or Yeniseian-speaking Siberians. Thus, we have revealed an admixture cline between Scythians and the Iranian farmer genetic cluster, and two further clines connecting the former cline to distinct ancestry sources in Siberia. Interestingly, few Wusun-period individuals harbor substantial Uralic/Yeniseian-related Siberian ancestry, in contrast to preceding Scythians and later Turkic groups characterized by the Tungusic/Mongolic-related ancestry. It remains to be elucidated whether this genetic influx reflects contacts with the Xiongnu confederacy. We are currently assembling a collection of samples across the Eurasian steppe for a detailed genetic investigation of the Hunnic confederacies.

    Three distinct East/West Eurasian clines across the continent with some interesting linguistic correlates, as earlier reported by Jeong et al. (2018). Alexander M. Kim.
    Very important observation with implication of population turnover is that pre-Turkic Inner Eurasian populations’ Siberian ancestry appears predominantly “Uralic-Yeniseian” in contrast to later dominance of “Tungusic-Mongolic” sort (which does sporadically occur earlier). Alexander M. Kim

    New interesting information on the gradual arrival of the “Uralic-Yeniseian” (Siberian) ancestry in eastern Europe with Iranian and Turkic-speaking peoples. We already knew that Siberian ancestry shows no original relationship with Uralic-speaking peoples, so to keep finding groups who expanded this ancestry eastwards in North Eurasia should be no surprise for anyone at this point.

    Central Asia and Indo-Iranian

    The session The Genomic Formation of South and Central Asia, by David Reich, on the recent paper by Narasimhan et al. (2018).

    One important upside of dense genomic sampling at single localities – greater visibility of outliers and better constraints on particular incoming ancestries’ arrival times. Gonur Tepe as a great case study of this. Alexander M. Kim
    – Tale of three clines, with clear indication that “Indus Periphery” samples drawn from an already-cosmopolitan and heterogeneous world of variable ASI & Iranian ancestry. (I know how some people like to pore over these pictures – so note red dots = just dummy data for illustration.)
    – Some more certainty about primary window of steppe ancestry injection into S. Asia: 2000-1500 BC
    Alexander M. Kim

    British Isles

    Ancient DNA and the peopling of the British Isles – pattern and process of the Neolithic transition, by Brace et al.

    Over recent years, DNA projects on ancient humans have flourished and large genomic-scale datasets have been generated from across the globe. Here, the focus will be on the British Isles and applying aDNA to address the relative roles of migration, admixture and acculturation, with a specific focus on the transition from a Mesolithic hunter-gatherer society to the Neolithic and farming. Neolithic cultures first appear in Britain ca. 6000 years ago (kBP), a millennium after they appear in adjacent areas of northwestern continental Europe. However, in Britain, at the margins of the expansion the pattern and process of the British Neolithic transition remains unclear. To examine this we present genome-wide data from British Mesolithic and Neolithic individuals spanning the Neolithic transition. These data indicate population continuity through the British Mesolithic but discontinuity after the Neolithic transition, c.6000 BP. These results provide overwhelming support for agriculture being introduced to Britain primarily by incoming continental farmers, with surprisingly little evidence for local admixture. We find genetic affinity between British and Iberian Neolithic populations indicating that British Neolithic people derived much of their ancestry from Anatolian farmers who originally followed the Mediterranean route of dispersal and likely entered Britain from northwestern mainland Europe.

    Millennium of lag between farming establishment in NW mainland Europe & British Isles. Only 25 Mesolithic human finds from Britain. Alexander M. Kim.
    – Evidently no resurgence of hunter-gatherer ancestry across Neolithic
    – Argument for at least two geographically distinct entries of Neolithic farmers
    Alexander M. Kim.

    MN Atlantic / Megalithic cultures

    Genomics of Middle Neolithic farmers at the fringe of Europe, by Sánchez Quinto et al.

    Agriculture emerged in the Fertile Crescent around 11,000 years before present (BP) and then spread, reaching central Europe some 7,500 years ago (ya.) and eventually Scandinavia by 6,000 ya. Recent paleogenomic studies have shown that the spread of agriculture from the Fertile Crescent into Europe was due mainly to a demic process. Such event reshaped the genetic makeup of European populations since incoming farmers displaced and admixed with local hunter-gatherers. The Middle Neolithic period in Europe is characterized by such interaction, and this is a time where a resurgence of hunter-gatherer ancestry has been documented. While most research has been focused on the genetic origin and admixture dynamics with hunter-gatherers of farmers from Central Europe, the Iberian Peninsula, and Anatolia, data from farmers at the North-Western edges of Europe remains scarce. Here, we investigate genetic data from the Middle Neolithic from Ireland, Scotland, and Scandinavia and compare it to genomic data from hunter-gatherers, Early and Middle Neolithic farmers across Europe. We note affinities between the British Isles and Iberia, confirming previous reports. However, we add on to this subject by suggesting a regional origin for the Iberian farmers that putatively migrated to the British Isles. Moreover, we note some indications of particular interactions between Middle Neolithic Farmers of the British Isles and Scandinavia. Finally, our data together with that of previous publications allow us to achieve a better understanding of the interactions between farmers and hunter-gatherers at the northwestern fringe of Europe.

    -Novel genomic data from 21 individuals from 6 sites.
    – “Megalithic” individuals not systematically diff. from geographically proximate “non-megalithic” burials
    – Mild evidence for over-representation of males in some British Isles megalithic tombs
    – Megalithic tombs in W & N Neolithic Europe may have link to kindred structures
    Alexander M. Kim

    Central European Bronze Age

    Ancient genomes from the Lech Valley, Bavaria, suggest socially stratified households in the European Bronze Age, by Mittnik et al.

    Archaeogenetic research has so far focused on supra-regional and long-term genetic developments in Central Europe, especially during the third millennium BC. However, detailed high-resolution studies of population dynamics in a microregional context can provide valuable insights into the social structure of prehistoric societies and the modes of cultural transition.

    Here, we present the genomic analysis of 102 individuals from the Lech valley in southern Bavaria, Germany, which offers ideal conditions for such a study. Several burial sites containing rich archaeological material were directly dated to the second half of the 3rd and first half of the 2nd millennium BCE and were associated with the Final Neolithic Bell Beaker Complex and the Early and Middle Bronze Age. Strontium isotope data show that the inhabitants followed a strictly patrilocal residential system. We demonstrate the impact of the population movement that originated in the Pontic-Caspian steppe in the 3rd millennium BCE and subsequent local developments. Utilising relatedness inference methods developed for low-coverage modern DNA we reconstruct farmstead related pedigrees and find a strong association between relatedness and grave goods suggesting that social status is passed down within families. The co-presence of biologically related and unrelated individuals in every farmstead implies a socially stratified complex household in the Central European Bronze Age.

    Diminishing steppe ancestry and resurgent Neolithic ancestry over time. Alexander M. Kim

    Notice how the arrival of Bell Beakers, obviously derived from Yamna settlers in Hungary, and thus clearly identified as expanding North-West Indo-Europeans all over Europe, marks a decrease in steppe ancestry compared to Corded Ware groups, in a site quite close to the most likely East BBC homeland. Copenhagen’s steppe ancestry = Indo-European going down the toilet, step by step…


    Russian Far East populations

    Gene geography of the Russian Far East populations – faces, genome-wide profiles, and Y-chromosomes, by Balanovsky et al.

    Russian Far East is not only a remote area of Eurasia but also a link of the chain of Pacific coast regions, spanning from East Asia to Americas, and many prehistoric migrations are known along this chain. The Russian Far East is populated by numerous indigenous groups, speaking Tungusic, Turkic, Chukotko-Kamchatka, Eskimo-Aleut, and isolated languages. This linguistic and geographic variation opens question about the patterns of genetic variation in the region, which was significantly undersampled and received minor attention in the genetic literature to date. To fill in this gap we sampled Aleuts, Evenks, Evens, Itelmens, Kamchadals, Koryaks, Nanais, Negidals, Nivkhs, Orochi, Udegeis, Ulchi, and Yakuts. We also collected the demographic information of local populations, took physical anthropological photos, and measured the skin color. The photos resulted in the “synthetic portraits” of many studied groups, visualizing the main features of their faces.


    Impressive North Eurasian biobank including 30,500 individual samples with broad consent, some genealogical info, phenotypic data. Alexander M. Kim

    Finland AD 5th-8th c.

    Sadly, no information will be shared on the session A 1400-year transect of ancient DNA reveals recent genetic changes in the Finnish population, by Salmela et al. We will have to stick to the abstract:

    Objectives: Our objective was to use aDNA to study the population history of Finland. For this aim, we sampled and sequenced 35 individuals from ten archaeological sites across southern Finland, representing a time transect from 5th to 18th century.

    Methods: Following genomic DNA extraction and preparation of indexed libraries, the samples were enriched for 1,2 million genomewide SNPs using in-solution capture and sequenced on an Illumina HighSeq 4000 instrument. The sequence data were then compared to other ancient populations as well as modern Finns, their geographical neighbors and worldwide populations. Authenticity testing of the data as well as population history inference were based on standard computational methods for aDNA, such as principal component analysis and F statistics.

    Results: Despite the relatively limited temporal depth of our sample set, we are able to see major genetic changes in the area, from the earliest sampled individuals – who closely resemble the present-day Saami population residing markedly further north – to the more recent ancient individuals who show increased affinity to the neighboring Circum-Baltic populations. Furthermore, the transition to the present-day population seems to involve yet another perturbation of the gene pool.

    So, most likely then, in my opinion – although possibly Y-DNA will not be reported – Finns were in the Classical Antiquity period mostly R1a with secondary N1c in the Circum-Baltic region (similar to modern Estonians, as I wrote recently), while Saami were probably mostly a mix of R1a-Z282 and I1 in southern Finland. That’s what the first transition after the 5th c. probably reflects, the spread of Finns (with mainly N1c lineages) to the north, while the more recent transition shows probably the introduction of North Germanic ancestry (and thus also R1b-U106, R1a-Z284, and I1 lineages) in the west.

    Dairying in ancient Mongolia

    The History of Dairying in ancient Mongolia, by Wilkin et al.

    The use of mass spectrometry based proteomics presents a novel method for investigating human dietary intake and subsistence strategies from archaeological materials. Studies of ancient proteins extracted from dental calculus, as well as other archaeological material, have robustly identified both animal and plant-based dietary components. Here we present a recent case study using shotgun proteomics to explore the range and diversity of dairying in the ancient eastern Eurasian steppe. Contemporary and prehistoric Mongolian populations are highly mobile and the ephemerality of temporarily occupied sites, combined with the severe wind deflation common across the steppes, means detecting evidence of subsistence can be challenging. To examine the time depth and geographic range of dairy use in Mongolia, proteins were extracted from ancient dental calculus from 32 individuals spanning burial sites across the country between the Neolithic and Mongol Empire. Our results provide direct evidence of early ruminant milk consumption across multiple time periods, as well as a dramatic increase in the consumption of horse milk in the late Bronze Age. These data provide evidence that dairy foods from multiple species were a key part of subsistence strategies in prehistoric Mongolia and add to our understanding of the importance of early pastoralism across the steppe.

    The confirmation of the date 3000-2700 BC for dairying in the eastern steppe further supports what was already known thanks to archaeological remains, that the pastoralist subsistence economy was brought for the first time to the Altai region by expanding late Khvalynsk/Repin – Early Yamna pastoralists that gave rise to the Afanasevo culture.

    Neolithic transition in Northeast Asia

    Genomic insight into the Neolithic transition peopling of Northeast Asia, by C. Ning

    East Asian representing a large geographic region where around one fifth of the world populations live, has been an interesting place for population genetic studies. In contrast to Western Eurasia, East Asia has so far received little attention despite agriculture here evolved differently from elsewhere around the globe. To date, only very limited genomic studies from East Asia had been published, the genetic history of East Asia is still largely unknown. In this study, we shotgun sequenced six hunter-gatherer individuals from Houtaomuga site in Jilin, Northeast China, dated from 12000 to 2300 BP and, 3 farming individuals from Banlashan site in Liaoning, Northeast China, dated around 5300 BP. We find a high level of genetic continuity within northeast Asia Amur River Basin as far back to 12000 BP, a region where populations are speaking Tungusic languages. We also find our Compared with Houtaomuga hunter-gatherers, the Neolithic farming population harbors a larger proportion of ancestry from Houtaomuga related hunter-gathers as well as genetic ancestry from central or perhaps southern China. Our finding further suggests that the introduction of farming technology into Northeast Asia was probably introduced through demic diffusion.

    A detail of the reported haplogroups of the Houtaomuga site:


    Y-DNA in Northeast Asia shows thus haplogroup N1b1 ~5000 BC, probably representative of the Baikal region, with a change to C2b-448del lineages before the Xiongnu period, which were later expanded by Mongols.

    Mitogenomes from Avar nomadic elite show Inner Asian origin


    Inner Asian maternal genetic origin of the Avar period nomadic elite in the 7th century AD Carpathian Basin, by Csáky et al. bioRxiv (2018).

    Abstract (emphasis mine):

    After 568 AD the nomadic Avars settled in the Carpathian Basin and founded their empire, which was an important force in Central Europe until the beginning of the 9th century AD. The Avar elite was probably of Inner Asian origin; its identification with the Rourans (who ruled the region of today’s Mongolia and North China in the 4th-6th centuries AD) is widely accepted in the historical research.

    Here, we study the whole mitochondrial genomes of twenty-three 7th century and two 8th century AD individuals from a well-characterised Avar elite group of burials excavated in Hungary. Most of them were buried with high value prestige artefacts and their skulls showed Mongoloid morphological traits.

    The majority (64%) of the studied samples’ mitochondrial DNA variability belongs to Asian haplogroups (C, D, F, M, R, Y and Z). This Avar elite group shows affinities to several ancient and modern Inner Asian populations.

    The genetic results verify the historical thesis on the Inner Asian origin of the Avar elite, as not only a military retinue consisting of armed men, but an endogamous group of families migrated. This correlates well with records on historical nomadic societies where maternal lineages were as important as paternal descent.

    MDS with 23 ancient populations. The Multidimensional Scaling plot is based on linearised Slatkin FST values that were calculated based on whole mitochondrial sequences (stress value is 0.1581). The MDS plot shows the connection of the Avars (AVAR) to the Central-Asian populations of the Late Iron Age (C-ASIA_LIAge) and Medieval period (C-ASIA_Medieval) along coordinate 1 and coordinate 2, which is caused by non-significant genetic distances between these populations. The European ancient populations are situated on the left part of the plot, where the Iberian (IB_EBRAge), Central-European (C-EU_BRAge) and British (BRIT_BRAge) populations from Early Bronze Age and Bronze Age are clustered along coordinate 2, while the Neolithic populations from Germany (GER_Neo), Hungary (HUN_Neo), Near-East (TUR_ _Neo) and Baltic region (BALT_Neo) are located on the skirt of the plot along coordinate 1. The linearised Slatkin FST values, abbreviations and references are presented in Table S4.

    Interesting excerpts:

    The mitochondrial genome sequences can be assigned to a wide range of the Eurasian haplogroups with dominance of the Asian lineages, which represent 64% of the variability: four samples belong to Asian macrohaplogroup C (two C4a1a4, one C4a1a4a and one C4b6); five samples to macrohaplogroup D (one by one D4i2, D4j, D4j12, D4j5a, D5b1), and three individuals to F (two F1b1b and one F1b1f). Each haplogroup M7c1b2b, R2, Y1a1 and Z1a1 is represented by one individual. One further haplogroup, M7 (probably M7c1b2b), was detected (sample AC20); however, the poor quality of its sequence data (2.19x average coverage) did not allow further analysis of this sample.

    European lineages (occurring mainly among females) are represented by the following haplogroups: H (one H5a2 and one H8a1), one J1b1a1, three T1a (two T1a1 and one T1a1b), one U5a1 and one U5b1b (Table S1).

    We detected two identical F1b1f haplotypes (AC11 female and AC12 male) and two identical C4a1a4 haplotypes (AC13 and AC15 males) from the same cemetery of Kunszállás; these matches indicate the maternal kinship of these individuals. There is no chronological difference between the female and the male from Grave 30 and 32 (AC11 and AC12), but the two males buried in Grave 28 and 52 (AC13 and AC15) are not contemporaries; they lived at least 2-3 generations apart.

    Ward type clustering of 44 ancient populations. The Ward type clustering shows separation of Asian and European populations. The Avar elite group (AVAR) is situated on an Asian branch and clustered together with Central Asian populations from Late Iron Age (C-ASIA_LIAge) and Medieval period (C-ASIA_Medieval), furthermore with Xiongnu period population from Mongolia (MON_Xiongnu) and Scythians from the Altai region (E-EU_IAge_Scyth). P values are given in percent as red numbers on the dendogram, where red rectangles indicate clusters with significant p values. The abbreviations and references are presented in Table S2.

    The Avar period elite shows the lowest and non-significant genetic distances to ancient Central Asian populations dated to the Late Iron Age (Hunnic) and to the Medieval period, which is displayed on the ancient MDS plot (Fig. 4); these connections are also reflected on the haplogroup based Ward-type clustering tree (Fig. 3). Building of these large Central Asian sample pools is enabled by the small number of samples per cultural/ethnic group. Further mitogenomic data from Inner Asia are needed to specify the ancient genetic connections; however, genomic analyses are also set back by the state of archaeological research, i.e. the lack of human remains from the 4th-5th century Mongolia, which would be a particularly important region in the study of the Avar elite’s origin.

    The investigated elite group from the Avar period elite also shows low genetic distances and phylogenetic connections to several Central and Inner Asian modern populations. Our results indicate that the source population of the elite group of the Avar Qaganate might have existed in Inner Asia (region of today’s Mongolia and North China) and the studied stratum of the Avars moved from there westwards towards Europe. Further genetic connections of the Avars to modern populations living to East and North of Inner Asia (Yakuts, Buryats, Tungus) probably indicate common source populations.

    MDS with the 44 modern populations and the Avar elite group. The Multidimensional Scaling plot is displayed based on linearised Slatkin FST values calculated based on whole mitochondrial sequences (stress value is 0.0677). The MDS plot shows differentiation of European, Near-Eastern, Central- and East-Asian populations along coordinates 1 and 2. The Avar elite (AVAR) is located on the Asian part of plot and clustered with Uyghurs from Northwest-China (NW-CHIN_UYG) and Han Chinese (CHIN), as well as with Burusho and Hazara populations from the Central-Asian Highland (Pakistan). The linearised Slatkin FST values, abbreviations and references are presented in Table S5.

    Sadly, no Y-DNA is available from this paper, although haplogroups Q, C2, or R1b (xM269) are probably to be expected, given the reported mtDNA. A replacement of the male population with subsequent migrations is obvious from the current distribution of Y-DNA haplogroups in the Carpathian Basin.

    Hungarians and Corded Ware

    Ancient Hungarians are important to understand the evolution, not only of Ugric, but also of Finno-Ugric peoples and their origin, since they show a genetic picture before more recent population expansions, genetic drift, and bottlenecks in eastern Europe.

    By now it is evident that the migration of Magyar clans from their homeland in the Cis-Urals region (from the 4th century AD on) happened after the first waves of late and gradual expansion of N1c subclades among Finno-Ugric peoples, but before the bottlenecks seen in modern populations of eastern Europe.

    In Ob-Ugric peoples, from the scarce data found in Pimenoff et al. (2018), we can see how Siberian N subclades expanded further after the separation of Magyars, evidenced by the inverted proportion of haplogroups R1a and N in modern Khantys and Mansis compared to Hungarians, and the diversity of N subclades compared to modern Fennic peoples.

    Similarly to Hungarians, the situation of modern Estonians (where R1a and N subclades show approximately the same proportion, ca. 33%) is probably closer to Fennic peoples in Antiquity, not having undergone the latest strong founder effect evident in modern Finns after their expansion to the north.

    Hungarian expansion from the 4th to the 10th century AD.

    Modern Hungary

    This is data from recent papers, summed up in Wikipedia:

    • In Semino et al. (2001) they found among 45 Palóc from Budapest and northern Hungary: 60% R1a, 13% R1b, 11% I, 9% E, 2% G, 2% J2.
    • In Csányi et al. (2008) Among 100 Hungarian men, 90 of whom from the Great Hungarian Plain: 30% R1a, 15% R1b, 13% I2a1, 13% J2, 9% E1b1b1a, 8% I1, 3% G2, 3% J1, 3% I*, 1% E*, 1% F*, 1% K*. Among 97 Székelys, in Romania: 20% R1b, 19% R1a, 17% I1, 11% J2, 10% J1, 8% E1b1b1a, 5% I2a1, 5% G2, 3% P*, 1% E*, 1% N.
    • In Pamjav et al. (2011), among 230 samples expected to include 6-8% Gypsy peoples: 26% R1a, 20% I2a, 19% R1b, 7% I, 6% J2, 5% H, 5% G2a, 5% E1b1b1a1, 3% J1, <1% N, <1% R2.
    • In Pamjav et al. (2017), from the Bodrogköz population: R1a-M458 (20.4%), I2a1-P37 (19%), R1b-M343 (15%), R1a-Z280 (14.3%), E1b-M78 (10.2%), and N1c-Tat (6.2%).

    NOTE. The N1c-Tat found in Bodrogköz belongs to the N1c-VL29 subgroup, more frequent among Balto-Slavic peoples, which may suggest (yet again) an initial stage of the expansion of N subclades among Finno-Ugric peoples by the time of the Hungarian migration.

    This is the data from FTDNA group on Hungary (copied from a Wikipedia summary of 2017 data):

    • 26.1% R1a (15% Z280, 6.5% M458, 0.9% Z93=>S23201, 3.7% unknown)
    • 19.2% R1b (6% L11-P312/U106, 5.3% P312, 4.2% L23/Z2103, 3.7% U106)
    • 16.9% I2 (15.2% CTS10228, 1.4% M223, 0.5% L38)
    • 8.3% I1
    • 8.1% J2 (5.3% M410, 2.8% M102)
    • 6.9% E1b1b1 (6% V13, 0.3% V22, 0.3% M123, 0.3% M81)
    • 6.9% G2a
    • 3.2% N (1.4% Z9136, 0.5% M2019/VL67, 0.5% Y7310, 0.9% Z16981)- note: only unrelated males are sampled
    • 2.3% Q (1.2% YP789, 0.9% M346, 0.2% M242)
    • 0.9% T
    • 0.5% J1
    • 0.2% L
    • 0.2% C

    R1a-Z280 stands out in FDNA (which we have to assume has no geographic preference among modern Hungarians), while R1a-M458 is prevalent in the north, which probably points to its relationship with (at least West) Slavic populations.

    Ancient Hungarians

    We already knew that Hungarians show similarities with Srubna and Hunnic peoples, and this paper shows a good reason for the similarities with the Huns.

    Also, recent population movements in the region (before the Avars) probably increased the proportion of R1b-L23 and I1 subclades (related to Roman and Germanic peoples) as well as possibly R1a-Z283 (mainly M458, related to the expansion of Slavs). From Understanding 6th-century barbarian social organization and migration through paleogenomics, by Amorim et al. (2018):

    Y-chromosome haplogroup attribution for 37 medieval and 1 Bronze age individuals.

    NOTE. The sample SZ15, of haplogroup R1a1a1b1a3a (S200), belongs to the Germanic branch Z284, which has a completely different history with its integration into the Nordic Bronze Age community.

    Interesting is the Szólád Bronze Age sample of R1a1a1b2a2a (Z2123) subclade (ca. 2100-1700 BC), which is possibly the same haplogroup found in King Béla III [Z93+ (80.6%), Z2123+ (10.8%)]*. Nevertheless, Z2123 refers to an upper clade, found also in East Andronovo sites in Narasimhan et al. (2018), as well as in the modern population of the Tarim Basin.

    NOTE. For more on the analysis of probability of the actual subclade, see here.

    Bronze Age R1a-Z93 samples of central-east Europe – like the Balkans BA sample (ca. 1750-1625 BC) from Merichleri, of R1a1a1b2 subclade – correspond most likely to the expansion of Iranian-speaking peoples in the early 2nd millennium BC, probably to the westward expansion of the Srubna culture.

    The specific subclade of King Béla III, on the other hand, probably corresponds to the more recent expansion of Magyar tribes settled in the region during the 9th century AD, so the specific subclade must have separated from those found in central-east Europe and in Andronovo during the Corded Ware expansion.

    Modified image, from Underhill et al. (2015). Spatial frequency distributions of Z282 (green) and Z93 (blue) affiliated haplogroups. Notice the potential Finno-Ugric-associated distribution of Z282 (including M558, a Z280 subclade) according to ancient maps; the northern Eurasian finds of Z2125 (upper clade of Z2123); and the potential of M458 subclades representing a west-east expansion of Balto-Slavic as a western outgroup of an original Fenno-Ugric population, equivalent to Z284 in Scandinavia.

    The study by Csányi et al. (2008), where the Tat C allele was found in 2 of 4 ancient samples, showed thus a potential 50:50 relationship of N1c in ancient Magyars, which is striking given the modern 1-3% a mere 1,000 years later, without any relevant population movement in between. This result remains to be reproduced with the current technology.

    In fact, recent studies of ancient Magyars, from the 10th to the 12th century, have not shown any N1c sample, and have confirmed instead the ancient presence of R1a (two other samples, interred near Béla III), R1b (four samples), I2a (two samples) J1, and E1b, a mixed genetic picture which is more in line with what is expected.

    So the question that I recently posed about east Corded Ware groups remains open: were Proto-Ugric peoples mainly of R1a-Z282 or R1a-Z93 subclades? Without ancient DNA from Middle Dnieper, Fatyanovo, Afanasevo, and the succeeding cultures (like Netted Ware) in north-eastern Europe, it is difficult to say.

    It is very likely that they are going to show mainly a mixture of both R1a-Z282 and R1a-Z93 lineages, with later populations showing a higher proportion of R1a-Z280 subclades. Whether this mixture happened already during the Corded Ware period, or is the result of later developments, is still unknown. What is certain is that Hungarian N1a1a1a-L708 subclades belong to more recent additions of Siberian haplogroups to the Ugric stock, probably during the Iron Age, just centuries before the Magyar expansion.