The expansion of Indo-Europeans in Y-chromosome haplogroups

yamnaya-corded-ware-y-dna-haplogroups

I have been playing around a little more with GIS tools and haplogroups, and I managed to get some interesting outputs.

I made a video with a timeline of the evolution of Indo-European speakers, according to what is known today about reconstructed languages, prehistoric cultures and ancient DNA:

yamnaya-expansion

NOTE. The video is best viewed in HD 1080p (1920×1080) with a display that allows for this or greater video quality, and a screen big enough to see haplogroup symbols, i.e. tablet or greater. The YouTube link is here. The Facebook link is here.

Based on the results of the past 5 years or so, which have been confirming this combined picture every single time, I doubt there will be much need to change it in any radical way, as only minor details remain to be clarified.

Haplogroup maps

I wanted to publish a GIS tool of my own for everyone to have an updated reference of all data I use for my books.

The most complex GIS tools consume too many resources when used online in a client-server model, so I have to keep that to myself, but there are some ways to publish low quality outputs.

The files below include the possibility to zoom some levels to be able to see more samples, and also to check each one for more information on their ID, attributed culture and label, archaeological site, source paper, subclade (and people responsible for SNP inferences if any), etc.

Some usage notes:

  • Files are large (ca. 20 Mb), so they still take some time to load.
  • For the meaning of symbols and colors (for Y-DNA haplogroups), if there is any doubt, check the video above.
  • Pop-ups with sample information will work on desktop browsers by clicking on them, apparently not on smartphone and related tactile OS. I have changed the settings to show pop-ups on hover, so that it now works (to some extent) on tactile OS.
  • The search tool can look for specific samples according to their official ID, and works by highlighting the symbol of the selected individual (turning it into a bright blue dot), and leading the layer view to the location, but it seems to work best only with some browser and OS settings – in other browsers, you need to zoom out to see where the dot is located. The specific sample with its information could paradoxically disappear in search mode, so you might need to reload and look again for the same site that was highlighted.
  • Latitude and longitude values have been randomly modified to avoid samples overcrowding specific sites, so they are not the original ones.

Y-DNA

There are three versions:

  1. Labels with more specific subclades (including negative SNPs), using YTree for R1b samples (whenever it conflicts with YFull).
  2. Labels with YFull nomenclature.
  3. Simbols without labels (more symbols visible per layer).

y-dna-haplogroups

mtDNA

There are two versions:

  1. Symbols with labels.
  2. Symbols without labels.

NOTE. Because there are too many samples at the starting view, depending on the file you should zoom some levels to start seeing symbols.

mtdna-haplogroups

ADMIXTURE

I have tried running supervised ADMIXTURE models by selecting distant populations based on PCA and qpAdm results, but it seems to work fine only for a small K number, being easily improved when running it unsupervised.

Adding distant populations seems to improve or mess up with the results in unpredictable ways, too, so at this point I doubt ADMIXTURE (or anything other than qpAdm) is actually useful to obtain anything precise in terms of ancestry evolution, although it can give a good overall idea of rough ancestry changes, if K is kept small enough.

Anyway, I will keep trying to find a simple way to show the actual evolution and expansion of “Steppe ancestry”. Since every single run for thousands of samples takes days, I don’t really know if and when I will find something interesting to show…

See also

“Steppe ancestry” step by step (2019): Mesolithic to Early Bronze Age Eurasia

yamnaya-gac-maykop-corded-ware-bell-beaker

The recent update on the Indo-Anatolian homeland in the Middle Volga region and its evolution as the Indo-Tocharian homeland in the Don–Volga area as described in Anthony (2019) has, at last, a strong scientific foundation, as it relies on previous linguistic and archaeological theories, now coupled with ancient phylogeography and genomic ancestry.

There are still some inconsistencies in the interpretation of the so-called “Steppe ancestry”, though, despite the one and a half years that have passed since we first had access to the closest Pontic–Caspian steppe source populations. Even my post “Steppe ancestry” step by step from a year ago is already outdated.

Admixture

The population selection process for models shown below included (1) plausibility of potential influences in the particular geographic and archaeological context; (2) looking for their clusters or particular samples in the PCA; and (3) testing with qpAdm for potential source populations that might have been involved in their development.

The results and graphics posted are therefore intended to simplistically show potential admixture events between populations potentially close to the actual sources of the target samples, whenever such mating networks could be supported by archaeology.

NOTE. This is an informal post and I am not a geneticist, so I am turning this flexibility to my advantage. If any reader is – for some strange reason – looking for a strict hypothesis testing, for the use of a full set of formal stats (as used e.g. in Ning et al. 2019 for Proto-Tocharians), and correctly redacted and peer-reviewed text, this is not the right place to find them.

spatial-pedigree-geographic-admixture
An example pedigree (a) of a focal individual sampled in the modern day, placed in its geographic context to make the spatial pedigree (b). Dashed lines denote matings, and solid lines denote parentage, with red hues for the maternal ancestors and blue hues for the paternal ancestors. In the spatial pedigree, each plane represents a sampled region in a discrete (nonoverlapping) generation, and each dot shows the birth location of an individual. The pedigree of the focal individual is highlighted back through time and across space. Image modified from Bradburd and Ralph (2019).

Despite the natural impulse to draw straight mixture trajectories (see e.g. Wang et al. 2019), simply adding or subtracting samples used for a PCA shows how the plot is affected by different variables (see e.g. what happens by including more South Asian samples to the PCA below), hence the need to draw curved arrows – not necessarily representing a sizable drift; at least not in recent prehistoric admixture events for which we have a reasonable chronological transect.

reich-arrows-admixture-neolithic-bronze-age
Representation of mixture events between European prehistoric peoples in the PCA. Image modified from David Reich‘s Who We Are and How We Got Here (2018).

Ethnolinguistic identification is a risky business that brings back memories of an evil use of cultural history and its consequences (at least in Western Europe, where this tradition was discontinued after WWII), but it seems necessary for those of us who want to find some confirmation of proposed dialectal schemes and language contacts.

Eneolithic Steppe vs. Steppe Maykop

First things first: I tested Bronze Age Eurasian peoples for the only two true steppe populations sampled to date, as potential sources of their “Steppe ancestry” – conventionally described as an EHG:CHG admixture, similar to that found in the first sampled Yamnaya individuals. I used the rightpops of Wang et al. (2018), but with a catch: since authors used WHG as a leftpop and Villabruna as a rightpop, and I find that a little inconsequential*, I preferred the strategy in Ning et al. (2019), contrasting as outgroup Eneolithic_Steppe (ca. 4300 BC) vs. Steppe_Maykop (ca. 3500 BC) when testing for WHG as a source population.

*WHG usually includes samples from a ‘western’ cluster (Loschbour and La Braña) and an ‘eastern’ cluster (Villabruna and Koros), see Lipson et al. (2017). Therefore, it doesn’t make much sense to include the same (or a very similar) population as a source AND an outgroup.

NOTE. For all other qpAdm analyses below, where WHG was not used as leftpop, I have used Villabruna as rightpop following Wang et al. (2019).

greater-caucasus-steppe-ancestry
Map of samples and sites mentioned in Wang et al. (2019), modified from the original to include labels of Eneolithic_Steppe and Steppe_Maykop samples. See PCA and ADMIXTURE grahpic for the identification of specific samples.

Results are not much different from what has been reported. In general, Yamnaya and related groups such as Bell Beakers and Steppe-related Chalcolithic/Bronze Age populations show good fits for Eneolithic_Steppe as their closest source for Steppe ancestry, and bad fits for Steppe_Maykop, whereas Corded Ware groups show the opposite, supporting their known differences.

This trend seems to be tempered in some groups, though, most likely due the influence of Samara_LN-like admixture in Circum-Baltic Late Neolithic and Eastern Corded Ware groups, and the influence of Anatolia_N/EEF-like admixture in Balkan and late European CWC or BBC groups. In fact, the more EEF-related ancestry in a populatoin, the less reliable these generic models (and even specific ones) seem to become when distinguishing the Steppe-related source.

NOTE. For more on this, see the discussion on Circum-Baltic Corded Ware peoples, and the discussion on Mycenaeans and their potential source populations.

These are just broad strokes of what might have happened around the Pontic–Caspian steppes before and during the Early Bronze Age expansions. The most relevant quest right now for Indo-European studies is to ascertain the chain of admixture events that led to the development and expansion of Indo-Uralic and its offshoots, Indo-European and Uralic.

mesolithic-eastern-europe-post-swiderian
Eastern European Mesolithic with the expansion of Post-Swiderian cultures. See full map.

A history of Steppe ancestry

This post is divided in (more or less accurate) chronological developments as follows:

  1. Hunter-gatherer pottery and the steppes
  2. Khvalynsk and Sredni Stog
  3. Post-Stog and Proto-Corded Ware
  4. Yamnaya and Afanasievo

1. Hunter-gatherer pottery and the steppes

I laid out in the ASOSAH book series the general idea – based on attempts to reconstruct the linguistic ancestor of Indo-Uralic – that Eurasiatic speakers might have expanded with the North-Eastern Techno-Complex that spread through north-eastern Europe during the warm period represented by the transition of the Palaeolithic to the Mesolithic.

If one were to trust the traditional migrationist view, a post-Swiderian population expanded from central-eastern Europe (potentially related originally to Epi-Gravettian peoples, represented by WHG ancestry) into north-eastern Europe, and then further east into the Trans-Urals, to then reappear in eastern Europe as a back-migration represented by the spread of hunter-gatherer pottery.

The marked shift from WHG-like towards EHG-related ancestry from Baltic Mesolithic (ca. 30%) to Combed Ware cultures (ca. 65%-100%) supports this continuous westward expansion, that is possibly best represented in the currently available sampling by the ‘south-eastern’ shift (CHG:ANE-related) of the hunter-gatherer from Lebyazhinka IV (5600 BC) relative to the older one from Sidelkino (9300 BC), both from the Samara region in the Middle Volga:

Mesolithic-Neolithic transition ca. 7000-6000 BC, with hunter-gatherer pottery groups spreading westwards. See full map.

From Anthony (2019):

Along the banks of the lower Volga many excavated hunting-fishing camp sites are dated 6200-4500 BC. They could be the source of CHG ancestry in the steppes. At about 6200 BC, when these camps were first established at Kair-Shak III and Varfolomievka, they hunted primarily saiga antelope around Dzhangar, south of the lower Volga, and almost exclusively onagers in the drier desert-steppes at Kair-Shak, north of the lower Volga. Farther north at the lower/middle Volga ecotone, at sites such as Varfolomievka and Oroshaemoe hunter-fishers who made pottery similar to that at Kair-Shak hunted onagers and saiga antelope in the desert-steppe, horses in the steppe, and aurochs in the riverine forests. Finally, in the Volga steppes north of Saratov and near Samara, hunter-fishers who made a different kind of pottery (Samara type) and hunted wild horses and red deer definitely were EHG. A Samara hunter-gatherer of this era buried at Lebyazhinka IV, dated 5600-5500 BC, was one of the first named examples of the EHG genetic type (Haak et al. 2015). This individual, like others from the same region, had no or very little CHG ancestry. The CHG mating network had not yet reached Samara by 5500 BC.

Given the lack of a proper geographical and chronological transect of ancient DNA from eastern European groups, and the discontinuous appearance of both R1b-M73 and R1b-M269 lineages on both sides of the Urals within the WHG:ANE cline, where EHG appears to have formed, it is impossible at this point to assert anything with enough degree of certainty. For simplicity purposes, though, I risked to equate the expansion of R1b-M73 in West Siberia as potentially associated with Micro-Altaic, and the expansion of hg. R1b-M269 with the spread of Indo-Uralic on both sides of the Urals.

NOTE. For incrementally speculative associations of languages with prehistoric cultures and their potential link to ancestry ± haplogroup expansions, you can check sections on Early Indo-Europeans and Uralians, Indo-Uralians, Altaic peoples, Eurasians, or Nostratians. I explained why I made these simplistic choices here.

While this identification of the Indo-Uralic expansion with hg. R1b is more or less straightforward for the Cis-Urals, given the available ancient DNA samples, it will be very difficult (if at all possible) to trace the migration of these originally R1b-M269-rich populations into Trans-Uralian groups that could eventually be linked to Yukaghir speakers. The sheer number of potential admixture events and bottlenecks in Siberian forest, taiga, and tundra regions since the Mesolithic until Yukaghirs were first attested is guaranteed to give more than one headache in upcoming years…

neolithic-steppes-samara-mariupol
Spread of hunter-gatherer pottery in eastern Europe ca. 6000-5000 BC. See full map.

The slight increase in WHG-related ancestry in Ukraine Neolithic groups relative to Mesolithic ones questions the arrival of this eastern influence in the north Pontic area, or at least its relevance in genomic terms, although the cluster formed is similar to the previous one and to Combed Ware groups – despite the Central European and Baltic influences in the north Pontic region – with some samples showing 0% change relative to Mesolithic groups.

ukraine-samara-mesolithic-neolithic-evolution
Structure and change in hunter-gatherer-related populations, from Mathieson et al. (2018). Inferred ancestry proportions for populations modelled as a mixture of WHG, EHG and CHG. Dashed lines show populations from the same geographic region. Percentages indicate proportion of WHG + EHG ancestry. Standard errors range from 1.5 to 8.3%.

NOTE. For more on Indo-Uralic and its reconstruction from a linguistic point of view, check out its dedicated section on ASOSAH, or the recently published (behind paywall) The Precursors of Proto-Indo-European, edited by Kloekhorst and Pronk, Brill (2019). Authors of specific chapters have posted their contributions to Academia.edu, where they can be downloaded for free.

2. Khvalynsk and Sredni Stog

The cluster formed by the three available samples of the Khvalynsk culture (early 5th millennium BC) might be described, as expected from its position in the PCA, as a mixture of EHG-like populations of the Middle Volga with CHG-like ancestry close to that represented by samples from Progress-2 and Vonyuchka, in the North Caucasus Piedmont (ca. 4300 BC):

This variable CHG-like admixture shown in the wide cluster formed by the available Khvalynsk-related samples support the interpretation of a recently created CHG mating network in Anthony (2019):

After 5000 BC domesticated animals appeared in these same sites in the lower Volga, and in new ones, and in grave sacrifices at Khvalynsk and Ekaterinovka. CHG genes and domesticated animals flowed north up the Volga, and EHG genes flowed south into the North Caucasus steppes, and the two components became admixed. After approximately 4500 BC the Khvalynsk archaeological culture united the lower and middle Volga archaeological sites into one variable archaeological culture that kept domesticated sheep, goats, and cattle (and possibly horses). In my estimation, Khvalynsk might represent the oldest phase of PIE.

steppe-ancestry-pca-neolithic-khvalynsk
Detail of the PCA of Eurasian samples, including Neolithic clusters with the hypothesized gene flows related to (1) the formation and (2) expansion of Khvalynsk and the (3) emergence of late Sredni Stog. See full image.

The richest copper assemblage found in all Khvalynsk burials belongs to an individual of hg. R1b-V1636 and intermediate Samara_HG:Eneolithic_Steppe ancestry, while full Eneolithic_Steppe-like admixture in the Middle Volga is represented by the commoner of Khvalynsk II, of hg. Q1. The finding of hg. R1b-V1636 in the North Caucasus Piedmont – and R1b-P297 in the Samara region (probably including Yekaterinovka) begs the question of the origin of hg. R1b-V1636 in the Khvalynsk community. Based on its absence in ancient samples from the forest zone, it is tempting to assign it to steppe hunter-gatherers down the Lower Volga and possibly to the east of it, who infiltrated the Samara region precisely during these population movements described by Anthony (2019).

Suvorovo-related samples from the Balkans, including the Varna and Smyadovo outliers of Steppe ancestry, are closely related to the Khvalynsk expansion:

Similarly, the ancestry of late Sredni Stog samples from Dereivka seem to be directly related to the expansion of Mariupol-like individuals over populations of Suvorovo-Novodanilovka-like admixture, as suggested by the resurgence of typical Ukraine Neolithic haplogroups, the shift in the PCA, and the models of Eneolithic_Steppe vs. Steppe_Maykop above:

#EDIT (11 Nov 2019): In fact, the position of the unpublished Greece_Neolithic outlier that appeared in the Wang et al. (2018) preprint (see full PCA and ADMIXTURE) show that the expanding Suvorovo chiefs from the Balkans formed a tight cluster close to the two published outliers with Steppe ancestry from Bulgaria.

The Ukraine_Neolithic outlier, possibly a Novodanilovka-related sample suggests, based on its position in the PCA close to the late Trypillian outlier of Steppe-related ancestry, that Ukraine_Eneolithic samples from Dereivka are a mixture of Ukraine_Neolithic and a Novodanilovka-like community similar to Suvorovo.

The Trypillian_Eneolithic-like admixture found among Proto-Corded Ware peoples (see below) would then feature potentially a small Steppe_Eneolithic-like component already present in the north Pontic area, too.

pca-suvorovo-novodanilovka-khvalynsk-trypillia-greece-ukraine-neolithic-outlier
Image modified from Wang et al. (2018). Samples projected in PCA of 84 modern-day West Eurasian populations (open symbols). Previously known clusters have been marked and referenced. Marked and labelled are the Balkan samples referenced in this text An EHG and a Caucasus ‘clouds’ have been drawn, leaving Pontic-Caspian steppe and derived groups between them. See the original file here.

Furthermore, whereas Anthony (2019) mentions a long-lasting predominance of hg. R1b in elite graves of the Eneolithic Volga basin, not a single sample of hg. R1a is mentioned supporting the community formed by the Alexandria individual, supposedly belonging to late Sredni Stog groups, but with a Corded Ware-like genetic profile (suggesting yet again that it is possibly a wrongly dated sample).

NOTE. A lack of first-hand information rather than an absence of R1a-M417 samples in the north Pontic forest-steppes would not be surprising, since Anthony is involved in the archaeology of the Middle Volga, but not in that of the north Pontic area.

eneolithic-pontic-caspian-steppe-khvalynsk-novodanilovka-suvorovo
Khvalynsk expansion through the Pontic–Caspian steppes in the early 5th millennium BC. See full map.

3. Post-Stog and Proto-Corded Ware

The origin of the Pre-Corded Ware ancestry is still a mystery, because of the heterogeneity of the sampled groups to date, and because the only ancestral sample that had a compatible genetic profile – I6561 from Alexandria – shows some details that make its radiocarbon date rather unlikely.

The most likely explanation for the closest source population of Corded Ware groups, found in the three core samples of Steppe_Maykop and in Trypillian Eneolithic samples from the first half of the 4th millennium BC, is still that a population of north Pontic forest-steppe hunter-gatherers hijacked this kind of ancestry, that was foreign to the north Pontic region before the Late Eneolithic period, later expanding east and west through the Podolian–Volhynian upland, due to the complex population movements of the Late Eneolithic.

NOTE. The idea of Trypillia influencing the formation of the Steppe_MLBA ancestry proper of Uralic peoples has been around for quite some time already, since the publication of Narasimhan et al. (2018) (see here or here).

steppe-ancestry-pca-corded-ware-bronze-age
Detail of the PCA of Eurasian samples, including Corded Ware groups and related clusters, as well as outliers, with hypothesized gene flows related to the (1) formation and (2) initial expansion of Pre-Corded Ware ancestry, as well as (3) later regional admixture events. See full image.

The specifics of how the Proto-Corded Ware community emerged remain unclear at this point, despite the simplistic description by Rassamakin (1999) of the Late Eneolithic north Pontic population movements as a two-stage migration of 1) late Trypillian groups (Usatovo) west → east, and (2) Late Maykop–Novosvobodnaya east → west. So, for example, Manzura (2016) on the Zhivotilovka “cultural-historical horizon” (emphasis mine):

Indeed, the very complex combination of different cultural traits in the burial sites of the Zhivotilovka type is able to generate certain problems in the search for the origins of this phenomenon. The only really consistent attribute is the burial rite in contracted position on the left or right side. Yu. Rassamakin is correct in asserting that this position of the deceased can be considered as new in the North Pontic region (Rassamakin 1999, 97). However, this opinion can be accepted only partially for the territory between Dniester and Lower Don. This position is well known in the Usatovo culture in the Northwest Pontic region, although skeletons on the right side are evidenced there only in double burials, whereas single burials contain the deceased only in a contracted position on the left side. On the other hand, the southern and western orientation of the deceased, which is one of the main burial traits of the Zhivotilovka type, is not characteristic of the Usatovo culture. Nevertheless, it is possible to suppose that at least part of the Usatovo population could have played a part in the formation of the cultural type under consideration here. One aspect of this cultural tradition, for instance, could be represented by skeletons on the left side and oriented in north-eastern and eastern directions.

Especially close ties can be traced between the Zhivotilovka and Maykop-Novosvobodnaya traditions, as exemplified by similar burial customs and various grave goods. It is beyond any doubt that the Maykop-Novosvobodnaya population was actively involved in the spread of the main Zhivotilovka cultural traits. The influence of North Caucasian traditions can be well observed, at least as far as the Dnieper Basin, but farther west influence is not manifested pronouncedly. The role of cultural units situated between the Dniester and Don rivers in the process of emergence of the Zhivotilovka type looks somewhat vague. Now, it can be quite confidently asserted that at the end of the 4th millennium BC this territory was settled by migrants from the North Caucasus and Carpathian-Dniester region. This event in theory had to stimulate cultural transformations in the Azov-Black Sea steppes and, thus, bearers of local cultural traditions perhaps could have participated in forming the culture under consideration. In any event, the Zhivotilovka type can be regarded as a complex phenomenon that emerged within the regime of intensive cultural dialogue and that it absorbed totally diff erent cultural traditions. The spread of the Zhivotilovka graves across the Pontic steppes from the Carpathians to the Lower Don or even to the Kuban Basin clearly signalizes a rapid dissolution of former cultural borders and the beginning of active movements of people, things and ideas over vast territories.

zhivotilovka-horizon-north-pontic-area

What were the factors or reasons that could have provoked this event? In the beginning of the second half of the 4th millennium BC two advanced cultural centers emerged in the south of Eastern Europe. These were the Maykop-Novosvobodnaya and Usatovo cultures, which in spite of their separation by great distances were structurally very alike. This is expressed in similar monumental burial architecture, complex burial rites, even the composition of grave goods, developed bronze metallurgy, high standards of material culture, etc. Both cultures in a completely formed state exemplify prosperous societies with a high level of economic and social organization, which can correspond to the type of ranked or early complex societies. Normally, the social elite in such polities tends to rigidly control basic domains social, economic and spiritual life using different mechanisms, even open compulsion (Earle 1987, 294-297). To some extent similar social entities can be found at this moment in the forest-steppe zone of the Carpathian-Dniester region, as reflected by the well organized settlement of Brânzeni III and the Vykhatitsy cemetery (Маркевич 1981; Дергачев 1978). In spite of their complex character, such societies represent rather friable structures, which could rapidly disintegrate due to unfavourable inner or external factors.

The societies in question emerged and existed during a time of favourable natural climatic conditions, which is considered to be a transitional period from the Atlantic to the Subboreal period, lasting approximately from 3600 to 3300 cal BC, or a climatic optimum for the steppe zone (Иванова и др. 2011, 108; Спиридонова, Алешинская 1999, 30-31). These conditions to a large degree could guarantee a stable exploitation of basic resources and support existing social hierarchies. However, after 3300 cal BC significant climatic changes occurred, accompanied by an increasing aridization and fall in temperature. This event is usually termed the “Piora oscillation” or “Rapid Climatic Event”, and is regarded as having been of global character (Magny, Haas 2004). These rapid changes could have seriously disturbed existing economic and social relations and finally provoked a similar rapid disintegration of complex social structures. In this case the sites of the Zhivotilovka type could represent mere fragments of former prosperous societies, which under conditions of the absence of centralized social control and stable cultural borders tried to recombine social and economic ties. However, the population possessed the necessary social experience and important technological resources, such as developed stock-breeding based on the breeding of small cattle and wheeled transport, so they were ready for opening new territories in their search for a better life.

maykop-trypillia-intrusion-steppes
Disintegration, migration, and imports of the Azov–Black Sea region. First migration event (solid arrows): Gordineşti–Maikop expansion (groups: I – Bursuchensk; II – Zhyvotylivka; III – Vovchans’k; IV – Crimean; V – Lower Don; VI – pre-Kuban). Second migration event (hollow arrows): Repin expansion. After Rassamakin (1999), Demchenko (2016).

For more on chronology and the potentially larger, longer-lasting Zhivotilovka–Volchansk–Gordineşti cultural horizon and its expansion through the Podolian–Volhynian upland, read e.g. on the Yampil Complex in the latest volume 22 of Baltic-Pontic Studies (2017):

In the forest-steppe zone of the North-West Pontic area, important data concerning the chronological position of the Zhivotilovka-Volchansk group have been produced by the exploration of the Bursuceni kurgan, which is still awaiting full publication [Yarovoy 1978; cf. also Demcenko 2016; Manzura 2016]. Burials linked with the mentioned group were stratigraphically the eldest in the kurgan, and pre-dated a burial in the extended position and [Yamnaya culture] graves. Two of these burials (features 20 and 21) produced radiocarbon dates falling around 3350-3100 BC [Petrenko, Kovaliukh 2003: 108, Tab. 7]. Similar absolute age determinations were obtained for Podolia kurgans at Prydnistryanske [Goslar et al. 2015]. These dates, falling within the Late Eneolithic, mark the currently oldest horizon of kurgan burials in the forest-steppe zone of the North-West Pontic area. The Podolia graves linked with other, older traditions of the steppe Eneolithic seem to represent a slightly later horizon dated to the transition between the Late Eneolithic and Early Bronze Age.

The presence on the left bank of the Dniester River of kurgans associated with the Eneolithic tradition, which at the same time reveals connections with the Gordineşti-Kasperovce-Horodiştea complex, raises questions about the western range of the new trend in funerary rituals, and its potential connection with the expansion of the late Trypilia culture to the West Podolia and West Volhynia Regions. The data potentially suggesting the attribution of kurgans from the upper Dniester basin to this period is patchy and difficult to verify [e.g. Liczkowce – see Sulimirski 1968: 173]. In this context, the discovery of vessels in the Gordineşti style in a kurgan at Zawisznia near Sokal is inspiring [Antoniewicz 1925].

zhivotilovka-volchansk-burial-podolia
Burials representing funerary traditions of Zhivotilovka-Volchansk group in Podolie kurgans: 1 – Porohy, grave 3A/7, 2 – Kuzmin, grave 2/2 [after Klochko et al. 2015b, Bubulich, Khakhey 2001]

Another interesting aspect of potential source populations, in combination with those above for Eneolithic_Steppe vs. Steppe_Maykop, are groups with worse fits for Steppe_Maykop_core, which include Potapovka and Srubnaya, as reported by Wang et al. (2018), but also Sintastha_MLBA (although not Andronovo). This is compatible with the long-term admixture of Abashevo chiefs dominating over a majority of Poltavka-like herders in the Don-Volga-Ural steppes during the formation of the Sintashta-Potapovka-Filatovka community, also visible in the typical Yamnaya lineages and Yamnaya-like ancestry still appearing in the region centuries after the change in power structures had occurred.

NOTE. If you feel tempted to test for mixtures of Khvalynsk_EN, Eneolithic_Steppe, Yamnaya, etc. as a source population for Corded Ware, go for it, but it’s almost certain to give similar ‘good’ fits – whatever the model – in some Corded Ware groups and not in others. It is still unclear, as far as I know, how to formally distinguish a mixture of Corded Ware-related from a Yamnaya-related source in the same model, and the results obtained with a combination of Steppe_Maykop-related + Eneolithic_Steppe-related sources will probably artificially select either one or the other source, as it probably happened in Ning et al. (2019) with Proto-Tocharian samples (see qpAdm values) that most likely had a contribution of both, based on their known intense interactions in the Tarim Basin.

eneolithic-pontic-caspian-steppes-east-europe
Expansion of north Pontic cultures and related groups during the Late Eneolithic. See full map.

#EDIT (22 NOV 2019): New preprint Gene-flow from steppe individuals into Cucuteni-Trypillia associated populations indicates long-standing contacts and gradual admixture, by Immel et al. bioRxiv (2019), on Gordinești samples from Moldova ca. 3500-3100 BC. Relevant excerpts (emphasis mine):

A principal component analysis of the four Moldova females together with previously published data sets of ancient Eurasians showed that Gordinești, Pocrovca 1 and Pocrovca 3 grouped with later dating Bell Beakers from Germany and Hungary close to the four CTC males from Verteba, while Pocrovca 2 fell into the LBK cluster next to Neolithic farmers from Anatolia and Starčevo individual.

When looking at various proxies for steppe-related ancestry (Yamnaya Samara, Ukraine Mesolithic, Caucasian hunter-gatherer (CHG), Eastern hunter gatherer (EHG)), we did not observe any significant difference in genetic influx from either Yamnaya Samara, EHG or Ukraine Mesolithic. However, relative to CHG, we detected a substantial shift towards Yamnaya Samara steppe-related ancestry. Consequently, Yamnaya Samara, Ukraine Mesolithic and EHG appear to be equally suitable proxies for steppe-related ancestry in the Moldovan CTC individuals.

We did not obtain feasible models when running qpAdm on the X-chromosome in order to test for male-biased admixture from hunter-gatherers or individuals with steppe-related ancestry.

It is not surprising that Gordinești, Pocrovca 1 and Pocrovca 3 showed genetic affinities with later dating Bronze Age or Bell Beaker individuals. The common link among them is the considerable steppe-related ancestry, which each group likely received independently from different parental populations.

pca-trypillia-verteba-pocrovka-gordinesti
Principal component analysis of the CTC individuals from Moldova (Gordinești, Pocrovca 1, Pocrovca 2, Pocrovca 3) in red and the CTC individuals from Verteba Cave (I1926, I2110, I2111, I3151) in blue together with 23 selected ancient populations/individuals projected onto a basemap of 58 modern-day West Eurasian populations (not shown). HG=hunter-gatherer, LBK=Linearbandkeramik, PU=Proto-Unetice, TRB=Trichterbecher (Funnel Beaker Culture, FBC). PC1 is shown on the x-axis and PC2 on the y-axis.

4. Yamnaya and Afanasievo

I don’t think it makes much sense to test for GAC (or Iberia_CA, for that matter) as Wang et al. (2019) did, given the implausibility of them taking part in the formation of late Repin during the mid-4th millennium BC around the Don-Volga interfluve (represented by its offshoots Yamnaya and Afanasievo), whether these or other EEF-related populations show ‘better’ fits or not. Therefore, I only tested for more or less straightforward potential source populations:

steppe-ancestry-pca-yamnaya-hungary-bulgaria-vucedol
Detail of the PCA of Eurasian samples, including Yamnaya groups and related clusters, as well as outliers, with hypothesized gene flows related to its (1) formation and (2) expansion. Also included is the inferred position of the admixed sample Yamnaya_Hungary_EBA1. See full image.

Quite unexpectedly – for me, at least – it appears that Afanasievo and Yamnaya invariably prefer Khvalynsk_EN as the closest source rather than a combination including Eneolithic_Steppe directly. In other words, late Repin shows largely genetic continuity with the Steppe ancestry already shown by the three sampled individuals from the Khvalynsk II cemetery, in line with the known strong bottlenecks of Khvalynsk-related groups under R1b lineages, visible also later in Afanasievo and Yamnaya and derived Indo-European-speaking groups under R1b-L23 subclades.

NOTE. This explains better the reported bad fits of models using directly Eneolithic_Steppe instead of Khvalynsk_EN for Afanasievo and Yamnaya Kalmykia, as is readily evident from the results above, instead of a rejection of an additional contribution to an Eneolithic_Steppe-like population, as I interpreted it, based on Anthony (2019).

repin-zhivotilovka-north-pontic-steppe
Map of major sites of the Zhivotilovka-Volchansk group (A) and Repin culture (B), by Rassamakin (see 1994 and 2013). (A) 1 – Primorskoye; 2 – Vasilevka; 3 – Aleksandrovka; 4 – Boguslav; 5 – Pavlograd; 6 – Zhivotilovka; 7 – Podgorodnoye; 8 – Novomoskovsk; 9- Sokolovo; 10 – Dneprelstan; 11- Razumovka; 12 – Pologi; 13 – Vinogradnoye; 14 – Novo-Filipovka; 15 – Volchansk; 16 – Yuryevka; 17 – Davydovka; 18 – Novovorontsovka; 19 – Ust-Kamenka; 20 – Staroselye; 21- Velikaya Aleksandrovka; 22- Kovalevka; 23 – Tiraspol; 24 – Cura-Bykuluy; 25 – Roshkany; 26 – Tarakliya; 27 – Kazakliya; 28 – Bolgrad; 29 – Sarateny; 30 – Bursucheny; 31 – Novye Duruitory; 232 – Kosteshty. (B) 1 – Podgorovka; 2 – Aleksandria; 3 – Volonterovka; 4 – Zamozhnoye; 5 – Kremenevka; 6 – Ogorodnoye; 7 – Boguslav; 8 – Aleksandrovka; 9 – Verkhnaya Mayevka; 10 – Duma Skela; 11 – Zamozhnoye; 12 – Mikhailovka II.

This might suggest that the Steppe ancestry visible in samples from Progress-2 and Vonyuchka, sharing the same cluster with the Khvalynsk II cemetery commoner of hg. Q1, most likely represents North Caspian or Black Sea–Caspian steppe hunter-gatherer ancestry that increased as Khvalynsk settlers expanded to the south-west towards the Greater Caucasus, probably through female exogamy. That would mean that Steppe_Maykop potentially represents the ‘original’ ancestry of steppe hunter-gatherers of the North Caucasus steppes, which is also weakly supported by the available similar admixture of the Lola culture. The chronology, geographical location and admixture of both clusters seemed to indicate the opposite.

eneolithic-steppe-maykop-ehg-chg-ag2
Modelling results for the Steppe and Caucasus cluster. Additional ‘eastern’ AG-Siberian gene flow in Steppe Maykop relative to Eneolithic Steppe. From Wang et al. (2019).

Due to the limitations of the currently available sampling and statistical tools, and barring the dubious Alexandria outlier, it is unclear how much of the late Trypillian-related admixture of late Repin (as reflected in Yamnaya and Afanasievo) corresponds to late Trypillian, Post-Stog, or Proto-Corded Ware groups from the north Pontic area. A mutual exchange suggestive of a common mating network (also supported by the mixed results obtained when including Khvalynsk_EN as source for early Corded Ware groups) seem to be the strongest proof to date of the Late Proto-Indo-European – Uralic contacts reflected in the period when post-laryngeal vocabulary was borrowed (with some samples predating the merged laryngeal loss), before the period of intense borrowing from Pre- and Proto-Indo-Iranian.

Between-group differences of Yamnaya samples are caused – like those between Corded Ware groups – by the admixture of a rapidly expanding society through exogamy with regional populations, evidenced by the inconstant affinities of western or southern outliers for previous local populations of the west Pontic or Caucasus area. This explanation for the gradual increase in local admixture is also supported by the strong, long-term patrilineal system and female exogamy practiced among expanding Proto-Indo-Europeans.

chalcolithic-early-bronze-yamnaya-corded-ware-vucedol
Groups of the Yamnaya culture and its western expansion after ca. 3100 BC, and Corded Ware after ca. 2900 BC See full map.

Bell Beakers and Mycenaeans

This Eneolithic_Steppe ancestry is also found among Bell Beaker groups (see above). More specifically, all Bell Beaker groups prefer a source closest to a combination of Yamnaya from the Don and Baden LCA individuals from Hungary, rather than with Corded Ware and GAC, despite the quite likely admixture of western Yamnaya settlers with (1) south-eastern European (west Pontic, Balkan) Chalcolithic populations during their expansion through the Lower Danube and with (2) late Corded Ware groups (already admixed with GAC-like populations) during their expansion as East Bell Beakers:

Similarly, Mycenaeans show good fits for a source close to the Yamnaya outlier from Bulgaria:

steppe-ancestry-pca-bell-beakers-mycenaeans
Detail of the PCA of Eurasian samples, including Bell Beaker and Balkan EBA groups and related clusters, as well as outliers, including ancestral Yamnaya samples from Hungary (position inferred) and Bulgaria. Also marked are Minoans, Mycenaeans and Armenian BA samples. See full image.

You can read more on Yamnaya-related admixture of Bell Beakers and Mycenaeans, and on Afanasievo-related admixture of Iron Age Proto-Tocharians.

Conclusion

The use of the concept of “Yamnaya ancestry”, then “Steppe ancestry” (and now even “Yamnaya Steppe ancestry“?) has already permeated the ongoing research of all labs working with human population genomics. Somehow, the conventional use of Yamnaya_Samara samples opposed to a combination of other ancient samples – alternatively selected among WHG, EHG, CHG/Iran_N, Anatolia_N, or ANE – has spread and is now unquestionably accepted as one of the “three quite distinct” ancestral groups that admixed to form the ancestry of modern Europeans, which is a rather odd, simplistic and anachronistic description of prehistory…

It has now become evident that authors involved with the Proto-Indo-European homeland question – and the tightly intertwined one of the Proto-Uralic homeland – are going to dedicate a great part of the discussion of many future papers to correct or outright reject the conclusions of previous publications, instead of simply going forward with new data.

The most striking argument to mistrust the current use of “Steppe ancestry” (as an alternative name for Yamnaya_Samara, and not as ancestry proper of steppe hunter-gatherers) is not the apparent difference in direct Eneolithic sources of Steppe ancestry for Corded Ware and Yamnaya-related peoples – closer to the available samples classified as Steppe_Maykop and Eneolithic_Steppe, respectively – or their different evolution under marked Y-DNA bottlenecks.

It is not even the lack of information about the distant origin of these Pontic–Caspian steppe hunter-gatherers of the 5th and 4th millennium BC, with their shared ancestral component potentially separated during the warmer Palaeolithic-Mesolithic transition, when the steppes were settled, without necessarily sharing any meaningful recent history before the formation of the Proto-Indo-Uralic community.

NOTE. I have raised this question multiple times since 2017 (see e.g. here or here).

The most striking paradox about simplistically misinterpreting “Steppe ancestry” as representative of Indo-European expansions is that those sub-Neolithic Pontic–Caspian steppe hunter-gatherers that had this ancestry in the 6th millennium BC were probably non-Indo-European-speaking communities, most likely related to the North(West) Caucasian language family, based on the substrate of Indo-Anatolian that sets it apart from Uralic within the Indo-Uralic trunk, and on later contacts of Indo-Tocharian with North-West Caucasian and Kartvelian, the former probably represented by Maykop and its contact with the Repin and early Yamnaya cultures.

NOTE. For more on this, see Allan Bomhard’s recent paper on the Caucasian substrate hypothesis and its ongoing supplement Additional Proto-Indo-European/Northwest Caucasian Lexical Parallels.

steppe-ancestry-racimo
“Spatiotemporal kriging of YAM steppe ancestry during the Holocene, using 5000 spatial grid points. The colors represent the predicted ancestry proportion at each point in the grid.” Image with evolution from ca. 2800 BC until the present day, modified from Racimo et al. (2019). The Copenhagen group considers the expansion of this component as representative of expanding Indo-Europeans…

This kind of error happens because we all – hence also authors, peer reviewers, and especially journal editors – love far-fetched conclusions and sensational titles, forgetting what a paper actually shows and – always more importantly in scientific reports – what it doesn’t show. This is particularly true when more than one field is involved and when extraordinary claims involve aspects foreign to the journal’s (and usually the own authors’) main interests. One would have thought that the glottochronological fiasco published in Science in 2012 (open access in PMC) should have taught an important lesson to everyone involved. It didn’t, because apparently no one has felt the responsibility or the shame to retract that paper yet, even in the age of population genomics.

If anything, the excesses of mathematical linguistics – using computational methods to try and reconstruct phylogenetic trees – have perpetuated a form of misunderstood Scientism which blindly relies on a simple promise made by authors in the Materials and Method section (rarely if ever kept beyond it) to use statistics rather than resorting to the harder, well-informed, comprehensive reasoning that is needed in the comparative method. After all, why should anyone invest hundreds of hours (or simply show an interest in) learning about historical linguistics, about ancient Indo-European or Uralic languages, carefully argumenting and discussing each and every detail of the reconstruction, when one can simply rely on the own guts to decide what is Science and what isn’t? When one can trust a promise that formulas have been used?

The conservative, null hypothesis when studying prehistoric Eurasian samples related to evolving cultures was universally understood as no migration, or “pots not people” (as most western archaeologists chose to believe until recently), whereas the alternative one should have been that there were in fact migration events, some of them potentially related to the expansion of Eurasian languages ancestral to the historically attested ones. Beyond this migrationist view there were obviously dozens of thorough theories concerning potential linguistic expansions associated with specific prehistoric cultures, and a myriad of less developed alternatives, all of which deserved to be evaluated after the null hypothesis had been rejected.

Despite the shortcomings of the 2015 papers and their lack of testing or discussion of different language expansion models, the spread of the so-called “Yamnaya ancestry” – an admixture especially prevalent (after the demise of the Yamnaya) among the most likely ancient Uralic-speaking groups as well as among modern Uralic speakers and recently acculturated groups from Eastern Europe – has been nevertheless invariably concluded by each lab to support the theories of their leading archaeologist, often combined with pre-aDNA theories of geneticists based on modern haplogroup distributions. This is as evident a case of confirmation bias, circular reasoning, and jumping to conclusions as it gets.

Why many researchers of other labs have chosen to follow such conclusions instead of challenging or simply ignoring them is difficult to understand.

Related

Volga Basin R1b-rich Proto-Indo-Europeans of (Pre-)Yamnaya ancestry

yamnaya-expansion

New paper (behind paywall) by David Anthony, Archaeology, Genetics, and Language in the Steppes: A Comment on Bomhard, complementing in a favourable way Bomhard’s Caucasian substrate hypothesis in the current issue of the JIES.

NOTE. I have tried to access this issue for some days, but it’s just not indexed in my university library online service (ProQuest) yet. This particular paper is on Academia.edu, though, as are Bomhard’s papers on this issue in his site.

Interesting excerpts (emphasis mine):

Along the banks of the lower Volga many excavated hunting-fishing camp sites are dated 6200-4500 BC. They could be the source of CHG ancestry in the steppes. At about 6200 BC, when these camps were first established at Kair Shak III and Varfolomievka (42 and 28 on Figure 2), they hunted primarily saiga antelope around Dzhangar, south of the lower Volga, and almost exclusively onagers in the drier desert-steppes at Kair-Shak, north of the lower Volga. Farther north at the lower/middle Volga ecotone, at sites such as Varfolomievka and Oroshaemoe hunter-fishers who made pottery similar to that at Kair-Shak hunted onagers and saiga antelope in the desert-steppe, horses in the steppe, and aurochs in the riverine forests. Finally, in the Volga steppes north of Saratov and near Samara, hunter-fishers who made a different kind of pottery (Samara type) and hunted wild horses and red deer definitely were EHG. A Samara hunter-gatherer of this era buried at Lebyazhinka IV, dated 5600-5500 BC, was one of the first named examples of the EHG genetic type (Haak et al. 2015). This individual, like others from the same region, had no or very little CHG ancestry. The CHG mating network had not yet reached Samara by 5500 BC.

morgunova-eneolithic-pontic-caspian
Eneolithic settlements (1–5, 7, 10–16, 20, 22–43, 48, 50), burial grounds (6, 8–9, 17–19, 21, 47, 49) and kurgans (44–46) of the steppe Ural-Volga region: 1 Ivanovka; 2 Turganik; 3 Kuzminki; 4 Mullino; 5 Davlekanovo; 6 Sjezheye (burial ground); 7 Vilovatoe; 8 Ivanovka; 9 Krivoluchye; 10–13 LebjazhinkaI-III-IV-V; 14 Gundorovka; 15–16 Bol. Rakovka I-II; 17–18 Khvalunsk I-II; 19 Lipoviy Ovrag; 20 Alekseevka; 21 Khlopkovskiy; 22 Kuznetsovo I; 23 Ozinki II; 24 Altata; 25 Monakhov I; 26 Oroshaemoe; 27 Rezvoe; 28 Varpholomeevka; 29 Vetelki; 30 Pshenichnoe; 31 Kumuska; 32 Inyasovo; 33 Shapkino VI; 34 Russkoe Truevo I; 35 Tsaritsa I-II; 36 Kamenka I; 37 Kurpezhe-Molla; 38 Istay; 39 Isekiy; 40 Koshalak; 41 Kara-Khuduk; 42 Kair-Shak VI; 43 Kombakte; 44 Berezhnovka I-II; 45 Rovnoe; 46 Politotdelskoe; 47 burial near s. Pushkino; 48 Elshanka; 49 Novoorsk; 50 Khutor Repin. Modified from Morgunova (2014).

But before 4500 BC, CHG ancestry appeared among the EHG hunter-fishers in the middle Volga steppes from Samara to Saratov, at the same time that domesticated cattle and sheep-goats appeared. The Reich lab now has whole-genome aDNA data from more than 30 individuals from three Eneolithic cemeteries in the Volga steppes between the cities of Saratov and Samara (Khlopkov Bugor, Khvalynsk, and Ekaterinovka), all dated around the middle of the fifth millennium BC. Many dates from human bone are older, even before 5000 BC, but they are affected by strong reservoir effects, derived from a diet rich in fish, making them appear too old (Shishlina et al 2009), so the dates I use here accord with published and unpublished dates from a few dated animal bones (not fish-eaters) in graves.

Only three individuals from Khvalynsk are published, and they were first published in a report that did not mention the site in the text (Mathieson et al. 2015), so they went largely unnoticed. Nevertheless, they are crucial for understanding the evolution of the Yamnaya mating network in the steppes. They were mentioned briefly in Damgaard et al (2018) but were not graphed. They were re-analyzed and their admixture components were illustrated in a bar graph in Wang et al (2018: figure 2c), but they are not the principal focus of any published study. All of the authors who examined them agreed that these three Khvalynsk individuals, dated about 4500 BC, showed EHG ancestry admixed substantially with CHG, and not a trace of Anatolian Farmer ancestry, so the CHG was a Hotu-Cave or Kotias-Cave type of un-admixed CHG. The proportion of CHG in the Wang et al. (2018) bar graphs is about 20-30% in two individuals, substantially less CHG than in Yamnaya; but the third Khvalynsk individual had more than 50% CHG, like Yamnaya. The ca. 30 additional unpublished individuals from three middle Volga Eneolithic cemeteries, including Khvalynsk, preliminarily show the same admixed EHG/CHG ancestry in varying proportions. Most of the males belonged to Y-chromosome haplogroup R1b1a, like almost all Yamnaya males, but Khvalynsk also had some minority Y-chromosome haplogroups (R1a, Q1a, J, I2a2) that do not appear or appear only rarely (I2a2) in Yamnaya graves.

eneolithic-steppes
Pontic-Caspian steppe and neighbouring groups in the Neolithic. See full map.

Wang et al. (2018) discovered that this middle Volga mating network extended down to the North Caucasian steppes, where at cemeteries such as Progress-2 and Vonyuchka, dated 4300 BC, the same Khvalynsk-type ancestry appeared, an admixture of CHG and EHG with no Anatolian Farmer ancestry, with steppe-derived Y-chromosome haplogroup R1b. These three individuals in the North Caucasus steppes had higher proportions of CHG, overlapping Yamnaya. Without any doubt, a CHG population that was not admixed with Anatolian Farmers mated with EHG populations in the Volga steppes and in the North Caucasus steppes before 4500 BC. We can refer to this admixture as pre-Yamnaya, because it makes the best currently known genetic ancestor for EHG/CHG R1b Yamnaya genomes. The Progress-2 individuals from North Caucasus steppe graves lived not far from the pre-Maikop farmers of the Belaya valley, but they did not exchange mates, according to their DNA.

The hunter-fisher camps that first appeared on the lower Volga around 6200 BC could represent the migration northward of un-admixed CHG hunter-fishers from the steppe parts of the southeastern Caucasus, a speculation that awaits confirmation from aDNA. After 5000 BC domesticated animals appeared in these same sites in the lower Volga, and in new ones, and in grave sacrifices at Khvalynsk and Ekaterinovka. CHG genes and domesticated animals flowed north up the Volga, and EHG genes flowed south into the North Caucasus steppes, and the two components became admixed. After approximately 4500 BC the Khvalynsk archaeological culture united the lower and middle Volga archaeological sites into one variable archaeological culture that kept domesticated sheep, goats, and cattle (and possibly horses). In my estimation, Khvalynsk might represent the oldest phase of PIE.

eneolithic-early-steppes
Pontic-Caspian steppe and neighbouring groups in the Early Eneolithic. See full map.

Anatolian Farmer ancestry and Yamnaya origins

The Eneolithic Volga-North Caucasus mating network (Khvalynsk/Progress-2 type) exhibited EHG/CHG admixtures and Y-chromosome haplogroups similar to Yamnaya, but without Yamnaya’s additional Anatolian Farmer ancestry. (…)

Like the Mesolithic and Neolithic populations here, the Eneolithic populations of Dnieper-Donets II type seem to have limited their mating network to the rich, strategic region they occupied, centered on the Rapids. The absence of CHG shows that they did not mate frequently if at all with the people of the Volga steppes, a surprising but undeniable discovery. Archaeologists have seen connections in ornament types and in some details of funeral ritual between Dnieper-Donets cemeteries of the Mariupol-Nikol’skoe type and cemeteries in the middle Volga steppes such as Khvalynsk and S’yez’zhe (Vasiliev 1981:122-123). Also their cranio-facial types were judged to be similar (Bogdanov and Khokhlov 2012:212). So it it surprising that their aDNA does not indicate any genetic admixture with Khvalynsk or Progress-2. Also, neither they nor the Volga steppe Eneolithic populations showed any Anatolian Farmer ancestry. (…)

All three of the steppe-admixed exceptions were from the Varna region (Mathieson et al. 2018). One of them was the famous “golden man’ at Varna (Krause et al. 2016), Grave 43, whose steppe ancestry was the most doubtful of the three. If he had steppe ancestry, it was sufficiently distant (five+ generations before him) that he was not a statistically significant outlier, but he was displaced in the steppe direction, away from the central values of the majority of typical Anatolian Farmers at Varna and elsewhere. The other two, at Varna (grave 158, a 5-7-year-old girl) and Smyadovo (grave 29, a male 20-25 years old), were statistically significant outliers who had recent steppe ancestry (consistent with grandparents or great-grandparents) of the EHG/CHG Khvalynsk/Progress-2 type, not of the Dnieper Rapids EHG/WHG type.

(…) I believe that the Suvorovo-Cernavoda I movement into the lower Danube valley and the Balkans about 4300 BC separated early PIE-speakers (pre-Anatolian) from the steppe population that stayed behind in the steppes and that later developed into late PIE and Yamnaya.

This archaeological transition marked the breakdown of the mating barrier between steppe and Anatolian Farmer mating networks. After this 4300-4200 BC event, Anatolian Farmer ancestry began to pop up in the steppes. The currently oldest sample with Anatolian Farmer ancestry in the steppes in an individual at Aleksandriya, a Sredni Stog cemetery on the Donets in eastern Ukraine. Sredni Stog has often been discussed as a possible Yamnaya ancestor in Ukraine (Anthony 2007: 239- 254). The single published grave is dated about 4000 BC (4045– 3974 calBC/ 5215±20 BP/ PSUAMS-2832) and shows 20% Anatolian Farmer ancestry and 80% Khvalynsk-type steppe ancestry (CHG&EHG). His Y-chromosome haplogroup was R1a-Z93, similar to the later Sintashta culture and to South Asian Indo-Aryans, and he is the earliest known sample to show the genetic adaptation to lactase persistence (I3910-T). Another pre-Yamnaya grave with Anatolian Farmer ancestry was analyzed from the Dnieper valley at Dereivka, dated 3600-3400 BC (grave 73, 3634–3377 calBC/ 4725±25 BP/ UCIAMS-186349). She also had 20% Anatolian Farmer ancestry, but she showed less CHG than Aleksandriya and more Dereivka-1 ancestry, not surprising for a Dnieper valley sample, but also showing that the old fifth-millennium-type EHG/WHG Dnieper ancestry survived into the fourth millennium BC in the Dnieper valley (Mathieson et al. 2018).

late-eneolithic-repin
Pontic-Caspian steppe and neighbouring groups in the Late Eneolithic. See full map.

Probably, late PIE (Yamnaya) evolved in the same part of the steppes—the Volga-Caucasus steppes between the lower Don, the lower and middle Volga, and the North Caucasus piedmont—where early PIE evolved, and where appropriate EHG/CHG admixtures and Y-chromosome haplogroups were seen already in the Eneolithic (without Anatolian Farmer). There have always been archaeologists who argued for an origin of Yamnaya in the Volga steppes, including Gimbutas (1963), Merpert (1974), and recently Morgunova (2014), who argued that this was where Repin-type ceramics, an important early Yamnaya pottery type, first appeared in dated contexts before Yamnaya, about 3600 BC. The genetic evidence is consistent with Yamnaya EHG/CHG origins in the Volga-Caucasus steppes. Also, if contact with the Maikop culture was a fundamental cause of the innovations in transport and metallurgy that defined the Yamnaya culture, then the lower Don-North Caucasus-lower Volga steppes, closest to the North Caucasus, would be where the earliest phase is expected.

I would still guess that the Darkveti-Meshoko culture and its descendant Maikop culture established the linguistic ancestor of the Northwest Caucasian languages in approximately the region where they remained. I also accept the general consensus that the appearance of the hierarchical Maikop culture about 3600 BC had profound effects on pre-Yamnaya and early Yamnaya steppe cultures. Yamnaya metallurgy borrowed from the Maikop culture two-sided molds, tanged daggers, cast shaft hole axes with a single blade, and arsenical copper. Wheeled vehicles might have entered the steppes through Maikop, revolutionizing steppe economies and making Yamnaya pastoral nomadism possible after 3300 BC.

For those who still hoped that Proto-Indo-Europeans of Yamnaya/Afanasievo ancestry from the Don-Volga region were associated with the expansion of hg. R1a-M417, in a sort of mythical “R1-rich” Indo-European society, it seems this is going to be yet another prediction based on ancestry magic that goes wrong.

Proto-Indo-Europeans were, however, associated with other subclades beyond R1b-M269, probably (as I wrote recently) R1b-V1636, I2a-L699, Q1a-M25, and R1a-YP1272, but also interestingly some J subclade, so let’s see what surprises the new study on Khvalynsk and Yamnaya settlers from the Carpathian Basin brings…

On the bright side, it is indirectly confirmed that late Sredni Stog formed part of the neighbouring Corded Ware-like populations of ca. 20-30%+ Anatolian farmer ancestry that gave Yamnaya its share (ca. 6-10%), relative to the comparatively unmixed Khvalynsk and late Repin population (as shown by Afanasevo).

In this steppe mating network that opened up after the Khvalynsk expansion, the increasing admixture of Anatolian farmer-related ancestry in Yamnaya from east (ca. 2-10%) to west (ca. 6-15%) points to an exogamy of late Repin males in their western/south-western regions with populations around the Don River basin and beyond (and endogamy within the Yamnaya community), in an evolution relevant for language expansions and language contacts during the Late Eneolithic.

NOTE. “Mating network” is my new preferred term for “ancestry”. Also great to see scholars finally talk about “Pre-Yamnaya” ancestry, which – combined with the distinction of Yamnaya from Corded Ware ancestry – will no doubt help differentiate fine-scale population movements of steppe- and forest-steppe-related populations.

north-pontic-kvityana-dereivka-repin
Modified from Rassamakin (1999), adding red color to Repin expansion. The system of the latest Eneolithic Pointic cultures and the sites of the Zhivotilovo-Volchanskoe type: 1) Volchanskoe; 2) Zhivotilovka; 3) Vishnevatoe; 4) Koisug.

The whole issue of the JIES is centered on Caucasian influences on Early PIE as an Indo-Uralic dialect, and this language contact/substrate is useful to locate the most likely candidates for the Northeast and Northwest Caucasian and the Proto-Indo-European homelands.

On the other hand, it would also be interesting to read a discussion of how this Volga homeland of Middle PIE and Don-Volga-Ural homeland of Late PIE would be reconciled with the known continuous contacts of Uralic with Middle and Late PIE (see here) to locate the most likely Proto-Uralic homeland.

Especially because Corded Ware fully replaced all sub-Neolithic groups to the north and east of Khvalynsk/Yamnaya, like Volosovo, so no other population neighbouring Middle and Late Proto-Indo-Europeans survived into the Bronze Age…

EDIT: For those new to this blog, this information on unpublished samples from the Volga River basin is yet another confirmation of Khokhlov’s report on the R1b-L23 samples from Yekaterinovka, and its confirmation by a co-author of The unique elite Khvalynsk male from a Yekaterinovskiy Cape burial, apart from more support to the newest data placing Yekaterinovka culturally and probably chronologically between Samara and Khvalynsk.

Related

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

cover-song-sheep-and-horses

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

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

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

series-song-sheep-horses-cover

Corrections and Additions

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

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

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

west-east-uralic-schema

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

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

ananino-culture-new

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Continue reading

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

Happy new year 2019…and enjoy our new books!

song-sheep-horses-header

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:

EDIT (20 JAN 2019): For those of you who are more comfortable reading in your native language, I have placed some links to automatic translations by Google Translate. They might work especially well for the texts of A Game of Clans & A Clash of Chiefs.

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. The PCA graphics are also important to follow the main text.

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, I have uploaded them to Academia.edu and ResearchGate, 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.

Acknowledgements

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.

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.

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.

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!

Sahara’s rather pale-green and discontinuous Sahelo-Sudanian steppe corridor, and the R1b – Afroasiatic connection

palaeolakes-world

Interesting new paper (behind paywall) Megalakes in the Sahara? A Review, by Quade et al. (2018).

Abstract (emphasis mine):

The Sahara was wetter and greener during multiple interglacial periods of the Quaternary, when some have suggested it featured very large (mega) lakes, ranging in surface area from 30,000 to 350,000 km2. In this paper, we review the physical and biological evidence for these large lakes, especially during the African Humid Period (AHP) 11–5 ka. Megalake systems from around the world provide a checklist of diagnostic features, such as multiple well-defined shoreline benches, wave-rounded beach gravels where coarse material is present, landscape smoothing by lacustrine sediment, large-scale deltaic deposits, and in places, tufas encrusting shorelines. Our survey reveals no clear evidence of these features in the Sahara, except in the Chad basin. Hydrologic modeling of the proposed megalakes requires mean annual rainfall ≥1.2 m/yr and a northward displacement of tropical rainfall belts by ≥1000 km. Such a profound displacement is not supported by other paleo-climate proxies and comprehensive climate models, challenging the existence of megalakes in the Sahara. Rather than megalakes, isolated wetlands and small lakes are more consistent with the Sahelo-Sudanian paleoenvironment that prevailed in the Sahara during the AHP. A pale-green and discontinuously wet Sahara is the likelier context for human migrations out of Africa during the late Quaternary.

The whole review is an interesting read, but here are some relevant excerpts:

Various researchers have suggested that megalakes coevally covered portions of the Sahara during the AHP and previous periods, such as paleolakes Chad, Darfur, Fezzan, Ahnet-Mouydir, and Chotts (Fig. 2, Table 2). These proposed paleolakes range in size by an order of magnitude in surface area from the Caspian Sea–scale paleo-Lake Chad at 350,000 km2 to Lake Chotts at 30,000 km2. At their maximum, megalakes would have covered ~ 10% of the central and western Sahara, similar to the coverage by megalakes Victoria, Malawi, and Tanganyika in the equatorial tropics of the African Rift today. This observation alone should raise questions of the existence of megalakes in the Sahara, and especially if they developed coevally. Megalakes, because of their significant depth and area, generate large waves that become powerful modifiers of the land surface and leave conspicuous and extensive traces in the geologic record.

megalakes-sahara
ETOPO1 digital elevation model (1 arc-minute; Amante and Eakins, 2009) of proposed megalakes in the Sahara Desert during the late Quaternary. Colors denote Köppen-Geiger climate zones: blue, Aw, Af, Am (tropical); light tan, Bwk, BSh, BSk, Csa, Csb, Cwb, Cfa, Cfb (temperate); red-brown, Bwh (arid, hot desert and steppe climate). Lake area at proposed megalake high stands and present Lake Victoria are in blue, and contributing catchment areas are shown as thin solid black lines. The main tributaries of Lake Chad are denoted by blue lines (from west to east: the Komadougou-Yobe, Logone, and Chari Rivers; source: Global Runoff Data Center, Koblenz, Germany). Rainfall isohyets (50, 200, 800, 1200, and 1600) are marked in dashed gray-scale lines. Physical parameters of each basin are shown in white boxes: Abt, total basin area; AW, lake area; Vw, lake volume; and aW= AW/Abt. Black dots mark the location of the paleohydrological records from Lezine et al. (2011), also compiled in Supplementary Table S5.

Lakes, megalakes, and wetlands

Active ground-water discharge systems abound in the Sahara today, although they were much more widespread in the AHP. They range from isolated springs and wet ground in many oases scattered across the Sahara (e.g., Haynes et al., 1989) to wetlands and small lakes (Kröpelin et al., 2008). Ground water feeding these systems is dominated by fossil AHP-age and older water (e.g., Edmunds and Wright 1979; Sonntag et al., 1980), although recently recharged water (<50 yr) has been locally identified in Saharan ground water (e.g., Sultan et al., 2000; Maduapuchi et al., 2006).

Megalake Chad

In our view, Lake Chad is the only former megalake in the Sahara firmly documented by sedimentologic and geomorphic evidence. Mega-Lake Chad is thought to have covered ~ 345,000 km2, stretching for nearly 8° (10–18°N) of latitude (Ghienne et al., 2002) (Fig. 2). The presence of paleo- Lake Chad was at one point challenged, but several—and in our view very robust—lines of evidence have been presented to support its development during the AHP. These include: (1) clear paleo-shorelines at various elevations, visible on the ground (Abafoni et al., 2014) and in radar and satellite images (Schuster et al., 2005; Drake and Bristow, 2006; Bouchette et al., 2010); (2) sand spits and shoreline berms (Thiemeyer, 2000; Abafoni et al., 2014); and (3) evaporites and aquatic fauna such as fresh-water mollusks and diatoms in basin deposits (e.g., Servant, 1973; Servant and Servant, 1983). Age determinations for all but the Holocene history of mega- Lake Chad are sparse, but there is evidence for Mio-Pliocene lake (s) (Lebatard et al., 2010) and major expansion of paleo- Lake Chad during the AHP (LeBlanc et al., 2006; Schuster et al., 2005; Abafoni et al., 2014; summarized in Armitage et al., 2015) up to the basin overflow level at ~ 329m asl.

Insights from hydrologic mass balance of megalakes

sahara-annaul-rainfall
Graph of mean annual rainfall (mm/yr) versus aw (area lake/area basin, AW/AL); their modeled relationship using our Sahelo-Sudanian hydrologic model for the different lake basins are shown as solid colored lines. Superimposed on this (dashed lines) are the aw values for individual megalake basins and the mean annual rainfall required to sustain them. Mean annual paleo-rainfall estimates of 200– 400 mm/yr during the AHP from fossil pollen and mollusk evidence is shown as a tan box. The intersection of this box with the solid colored lines describes the resulting aw for Saharan paleolakes on the y-axis. The low predicted values for aw suggest that very large lakes would not form under Sahelo-Sudanian conditions where sustained by purely local rainfall and runoff. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Using these conservative conditions (i.e., erring in the direction that will support megalake formation), our hydrologic models for the two biggest central Saharan megalakes (Darfur and Fezzan) require minimum annual average rainfall amounts of ~ 1.1 m/yr to balance moisture losses from their respective basins (Supplementary Table S1). Lake Chad required a similar amount (~1 m/yr; Supplementary Table S1) during the AHP according to our calculations, but this is plausible, because even today the southern third of the Chad basin receives ≥1.2 m/yr (Fig. 2) and experiences a climate similar to Lake Victoria. A modest 5° shift in the rainfall belt would bring this moist zone northward to cover a much larger portion of the Chad basin, which spans N13° ±7°. Estimated rainfall rates for Darfur and Fezzan are slightly less than the average of ~ 1.3 m/yr for the Lake Victoria basin, because of the lower aw values, that is, smaller areas of Saharan megalakes compared with their respective drainage basins (Fig. 15).

Estimates of paleo-rainfall during the AHP

Here major contradictions develop between the model outcomes and paleo-vegetation evidence, because our Sahelo-Sudanian hydrologic model predicts wetter conditions and therefore more tropical vegetation assemblages than found around Lake Victoria today. In fact, none of the very wet rainfall scenarios required by all our model runs can be reconciled with the relatively dry conditions implied by the fossil plant and animal evidence. In short, megalakes cannot be produced in Sahelo-Sudanian conditions past or present; to form, they require a tropical or subtropical setting, and major displacements of the African monsoon or extra-desert moisture sources.

sahara-palaeoclimate
Change in mean annual precipitation over northern Africa between mid-Holocene (6 ka) and pre-industrial conditions in PMIP3 models (affiliations are provided in Supplementary Table S4). Lakes Victoria and Chad outlined in blue. (a) Ensemble mean change in mean annual precipitation and positions of the African summer (July–September) ensemble mean ITCZ during mid-Holocene (solid red line) and pre-industrial conditions (solid blue line). (b) Zonal average of change in mean annual precipitation over land (20°W–30°E) for the ensemble mean (thick black) and individual models are listed on right). The range of minimal estimated change in mean annual precipitation required to sustain steppe is shown in shaded green (Jolly et al., 1998).

Conclusions

If not megalakes, what size lakes, marshes, discharging springs, and flowing rivers in the Sahara were sustainable in Sahelo-Sudanian climatic conditions? For lakes and perennial rivers to be created and sustained, net rainfall in the basin has to exceed loss to evapotranspiration, evaporation, and infiltration, yielding runoff that then supplies a local lake or river. Our hydrologic models (see Supplementary Material) and empirical observations (Gash et al., 1991; Monteith, 1991) for the Sahel suggest that this limit is in the 200–300 mm/yr range, meaning that most of the Sahara during the AHP was probably too dry to support very large lakes or perennial rivers by means of local runoff. This does not preclude creation of local wetlands supplied by ground-water recharge focused from a very large recharge area or forced to the surface by hydrologic barriers such as faults, nor megalakes like Chad supplied by moisture from the subtropics and tropics outside the Sahel. But it does raise a key question concerning the size of paleolakes, if not megalakes, in the Sahara during the AHP. Our analysis suggests that Sahelo-Sudanian climate could perhaps support a paleolake approximately ≤5000 km2 in area in the Darfur basin and ≤10,000–20,000 km2 in the Fezzan basin. These are more than an order of magnitude smaller than the megalakes envisioned for these basins, but they are still sizable, and if enclosed in a single body of water, should have been large enough to generate clear shorelines (Enzel et al., 2015, 2017). On the other hand, if surface water was dispersed across a series of shallow and extensive but partly disconnected wetlands, as also implied by previous research (e.g., Pachur and Hoelzmann, 1991), then shorelines may not have developed.

One of the underdeveloped ideas of my Indo-European demic diffusion model was that R1b-V88 had migrated through South Italy to Northern Africa, and from it using the Sahara Green Corridor to the south, from where the “upside-down” view of Bender (2007) could have occurred, i.e. Afroasiatic expanding westwards within the Green Sahara, precisely at this time, and from a homeland near the Megalake Chad region (see here).

Whether or not R1b-V88 brought the ‘original’ lineage that expanded Afroasiatic languages may be contended, but after D’Atanasio et al. (2018) it seems that only two lineages, E-M2 and R1b-V88, fit the ‘star-like’ structure suggesting an appropriate haplogroup expansion and necessary regional distribution that could explain the spread of Afroasiatic languages within a reasonable time frame.

palaeolithic
Palaeolithic migrations

This review shows that the hypothesized Green Sahara corridor full of megalakes that some proposed had fully connected Africa from west to east was actually a strip of Sahelo-Sudanian steppe spread to the north of its current distribution, including the Chad megalake, East Africa and Arabia, apart from other discontinuous local wetlands further to the north in Africa. This greenish belt would have probably allowed for the initial spread of early Afroasiatic proto-languages only through the southern part of the current Sahara Desert. This and the R1b-V88 haplogroup distribution in Central and North Africa (with a prevalence among Chadic speakers probably due to later bottlenecks), and the Near East, leaves still fewer possibilities for an expansion of Afroasiatic from anywhere else.

If my proposal turns out to be correct, this Afroasiatic-like language would be the one suggested by some in the vocabulary of Old European and North European local groups (viz. Kroonen for the Agricultural Substrate Hypothesis), and not Anatolian farmer ancestry or haplogroup G2, which would have been rather confined to Southern Europe, mainly south of the Loess line, where incoming Middle East farmers encountered the main difficulties spreading agriculture and herding, and where they eventually admixed with local hunter-gatherers.

NOTE. If related to attested languages before the Roman expansion, Tyrsenian would be a good candidate for a descendant of the language of Anatolian farmers, given the more recent expansion of Anatolian ancestry to the Tuscan region (even if already influenced by Iran farmer ancestry), which reinforces its direct connection to the Aegean.

The fiercest opposition to this R1b-V88 – Afroasiatic connection may come from:

  • Traditional Hamito-Semitic scholars, who try to look for any parent language almost invariably in or around the Near East – the typical “here it was first attested, ergo here must be the origin, too”-assumption (coupled with the cradle of civilization memes) akin to the original reasons behind Anatolian or Out-of-India hypotheses; and of course
  • autochthonous continuity theories based on modern subclades, of (mainly Semitic) peoples of haplogroup E or J, who will root for either one or the other as the Afroasiatic source no matter what. As we have seen with the R1a – Indo-European hypothesis (see here for its history), this is never the right way to look at prehistoric migrations, though.

I proposed that it was R1a-M417 the lineage marking an expansion of Indo-Uralic from the east near Lake Baikal, then obviously connected to Yukaghir and Altaic languages marked by R1a-M17, and that haplogroup R could then be the source of a hypothetic Nostratic expansion (where R2 could mark the Dravidian expansion), with upper clades being maybe responsible for Borean.

nostratic-tree
Simple Nostratic tree by Bomhard (2008)

However, recent studies have shown early expansions of R1b-297 to East Europe (Mathieson et al. 2017 & 2018), and of R1b-M73 to East Eurasia probably up to Siberia, and possibly reaching the Pacific (Jeong et al. 2018). Also, the Steppe Eneolithic and Caucasus Eneolithic clusters seen in Wang et al. (2018) would be able to explain the WHG – EHG – ANE ancestry cline seen in Mesolithic and Neolithic Eurasia without a need for westward migrations.

Dravidian is now after Narasimhan et al. (2018) and Damgaard et al. (Science 2018) more and more likely to be linked to the expansion of the Indus Valley civilization and haplogroup J, in turn strongly linked to Iranian farmer ancestry, thus giving support to an Elamo-Dravidian group stemming from Iran Neolithic.

NOTE. This Dravidian-IVC and Iran connection has been supported for years by knowledgeable bloggers and commenters alike, see e.g. one of Razib Khan’s posts on the subject. This rather early support for what is obvious today is probably behind the reactionary views by some nationalist Hindus, who probably saw in this a potential reason for a strengthened Indo-Aryan/Dravidian divide adding to the religious patchwork that is modern India.

I am not in a good position to judge Nostratic, and I don’t think Glottochronology, Swadesh lists, or any statistical methods applied to a bunch of words are of any use, here or anywhere. The work of pioneers like Illich-Svitych or Starostin, on the other hand, seem to me solid attempts to obtain a faithful reconstruction, if rather outdated today.

NOTE. I am still struggling to learn more about Uralic and Indo-Uralic; not because it is more difficult than Indo-European, but because – in comparison to PIE comparative grammar – material about them is scarce, and the few available sources are sometimes contradictory. My knowledge of Afroasiatic is limited to Semitic (Arabic and Akkadian), and the field is not much more developed here than for Uralic…

y-haplogroup-r1b-p343
Spread of Y-haplogroup R1b(xM269) in Eurasia, according to Jeong et al. (2018).

If one wanted to support a Nostratic proto-language, though, and not being able to take into account genome-wide autosomal admixture, the only haplogroup right now which can connect the expansion of all its branches is R1b-M343:

  • R1b-L278 expanded from Asia to Europe through the Iranian Plateau, since early subclades are found in Iran and the Caucasus region, thus supporting the separation of Elamo-Dravidian and Kartvelian branches;
  • From the Danube or another European region ‘near’ the Villabruna 1 sample (of haplogroup R1b-L754):
    • R1b-V88 expanding everywhere in Europe, and especially the branch expanding to the south into Africa, may be linked to the initial Afroasiatic expansion through the Pale-Green Sahara corridor (and even a hypothetic expansion with E-M2 subclades and/or from the Middle East would also leave open the influence of V88 and previous R1b subclades from the Middle East in the emergence of the language);
    • R1b-297 subclades expanding to the east may be linked to Eurasiatic, giving rise to both Indo-Uralic (M269) and Macro- or Micro-Altaic (M73) expansions.

This is shameless, simplistic speculation, of course, but not more than the Nostratic hypothesis, and it has the main advantage of offering ‘small and late’ language expansions relative to other proposals spanning thousands (or even tens of thousands) of years more of language separation. On the other hand, that would leave Borean out of the question, unless the initial expansion of R1b subclades happened from a community close to lake Baikal (and Mal’ta) that was also at the origin of the other supposedly related Borean branches, whether linked to haplogroup R or to any other…

NOTE. If Afroasiatic and Indo-Uralic (or Eurasiatic) are not genetically related, my previous simplistic model, R1b-Afroasiatic vs. R1a-Eurasiatic, may still be supported, with R1a-M17 potentially marking the latest meaningful westward population expansion from which EHG ancestry might have developed (see here). Without detailed works on Nostratic comparative grammar and dialectalization, and especially without a lot more Palaeolithic and Mesolithic samples, all this will remain highly speculative, like proposals of the 2000s about Y-DNA-haplogroup – language relationships.

Related:

Kortlandt: West Indo-Europeans along the Danube, Germanic and Balto-Slavic share a Corded Ware substrate

copper-age-early_yamna-corded-ware

New paper (behind paywall) The Expansion of the Indo-European Languages, by Frederik Kortlandt, JIES (2018) 46(1 & 2):219-231.

Abstract:

When considering the way the Indo-Europeans took to the west, it is important to realize that mountains, forests and marshlands were prohibitive impediments. Moreover, people need fresh water, all the more so when traveling with horses. The natural way from the Russian steppe to the west is therefore along the northern bank of the river Danube. This leads to the hypothesis that the western Indo-Europeans represent successive waves of migration along the Danube and its tributaries. The Celts evidently followed the Danube all the way to southern Germany. The ancestors of the Italic tribes, including the Veneti, may have followed the river Sava towards northern Italy. The ancestors of Germanic speakers apparently moved into Moravia and Bohemia and followed the Elbe into Saxony. A part of the Veneti may have followed them into Moravia and moved along the Oder through the Moravian Gate into Silesia. The hypothetical speakers of Temematic probably moved through Slovakia along the river Orava into western Galicia. The ancestors of speakers of Balkan languages crossed the lower Danube and moved to the south. This scenario is in agreement with the generally accepted view of the earliest relations between these branches of Indo-European.

The western Indo-European vocabulary in Baltic and Slavic is the result of an Indo-European substratum which contained an older non-Indo-European layer and was part of the Corded Ware horizon. The numbers show that a considerable part of the vocabulary was borrowed after the split between Baltic and Slavic, which came about when their speakers moved westwards north and south of the Pripet marshes. These events are older than the westward movement of the Slavs which brought them into contact with Temematic speakers. One may conjecture that the Venedi occupied the Oder basin and then expanded eastwards over the larger part of present-day Poland before the western Balts came down the river Niemen and moved onwards to the lower Vistula. We may then identify the Venedic expansion with the spread of the Corded Ware horizon and the westward migration of the Balts and the Slavs with their integration into the larger cultural complex. The theory that the Venedi separated from the Veneti in the upper Sava region and moved through Moravia and Silesia to the Baltic Sea explains the “im Namenmaterial auffällige Übereinstimmung zwischen dem Baltikum und den Gebieten um den Nordteil der Adria” (Udolph 1981: 61). The Balts probably moved in two stages because the differences between West and East Baltic are considerable.

Instead of reinterpreting his views in light of the recent genetic finds, Kortlandt tries to mix in this paper his own old theories (see his paper Baltic, Slavic, Germanic) with the recent interpretations of genetic papers, using also dubious secondary sources – e.g. Iversen and Kroonen (2017) or Klejn (2017) [see here, and here] – which, in my opinion, creates a potentially dangerous circular reasoning.

For example, even though he criticizes the general stance of recent genetic papers with regard to Proto-Indo-European dialectalization and expansion as too early, and he supports the Danube expansion route, he nevertheless follows their interpretations in accepting that Corded Ware was Indo-European (following the newest model proposed by Anthony):

The [Yamnaya] penetrated central and northern Europe from the lower Danube through the Carpathian basin, not from the east. The Carpathian basis was evidently the cradle of the Corded Ware cultures, where the descendants of the Yamnaya mixed with the local early farmers before proceeding to the north. The development has a clear parallel in the Middle Ages, when the Hungarians mixed with the local Slavic populations in the same territory (cf. Kushniarevich & al. 2015).

He still follows his good old Indo-Slavonic group in the east, but at the same time maintains Kallio’s view that there were no early Uralic loanwords in Balto-Slavic, and also Kallio’s (and the general) view that there were close contacts with PIE and Pre-Proto-Indo-Iranian…

NOTE. The latest paper on Eurasian migrations by Damgaard et al. (Nature 2018), which shows mainly Proto-Iranians dominating over East Europe after the Early Bronze Age, have left still fewer space for a Proto-Balto-Slavic group emerging from the east.

Also, he asserts the following, which is a rather weird interpretation of events:

It appears that the Corded Ware horizon spread to southern Scandinavia (cf. Iversen & Kroonen 2017) but not to the Baltic region during the Neolithic.

“However, we also find indications of genetic impact from exogenous populations during the Neolithic, most likely from northern Eurasia and the Pontic Steppe. These influences are distinct from the Anatolian-farmer-related gene flow found in Central Europe during this period.”

It follows that the Indo-Europeans did not reach the Baltic region before the Late Neolithic. The influx of non-local people from northern Eurasia may be identified with the expansion of the Finno-Ugrians, who came into contact with the Indo-Europeans as a result of the eastward expansion of the latter in the fourth millennium. This was long before the split between Balto-Slavic and Indo-Iranian.

In the Late Neolithic there was “a further population movement into the regions surrounding the Baltic Sea” that was “accompanied by the first evidence of extensive animal husbandry in the Eastern Baltic”, which “suggests import of the new economy by an incoming steppe-like population independent of the agricultural societies that were already established to the south and west of the Baltic Sea.” (Mittnik & al. 2018). These may have been the ancestors of Balto-Slavic speakers. At a later stage, the Corded Ware horizon spread eastward, giving rise to farming ancestry in Eastern Baltic individuals and to a female gene-flow from the Eastern Baltic into Central Europe (ibidem).

copper-age-late-urals
Late Copper Age migrations in Asia ca. 2800-2300 BC.

He is a strong Indo-Uralic supporter, and supports a parallel Indo-European – Uralic development in Eastern Europe, and (as you can read) he misunderstands the description of population movements in the Baltic region, and thus misplaces Finno-Ugric speakers as Eurasian migrants arriving in the Baltic from the east during the Late Neolithic, before the Corded Ware expansion, which is not what the cited papers implied.

NOTE. Such an identification of westward Neolithic migrations with Uralic speakers is furthermore to be rejected following the most recent paper on Fennoscandian samples.

He had previously asserted that the substrate common to Germanic and Balto-Slavic is Indo-European with non-Indo-European substrate influence, so I guess that Corded Ware influencing as a substrate both Germanic and Balto-Slavic is the best way he could put everything together, if one assumes the widespread interpretations of genetic papers:

Thus, I think that the western Indo-European vocabulary in Baltic and Slavic is the result of an Indo-European substratum which contained an older non-Indo-European layer and was part of the Corded Ware horizon. The numbers show that a considerable part of the vocabulary was borrowed after the split between Baltic and Slavic, (…)

NOTE. It is very likely that this paper was sent in late 2017. That’s the main problem with traditional publications including the most recent genetic investigation: by the time something gets eventually published, the text is already outdated.

I obviously share his opinion on precedence of disciplines in Indo-European studies:

The methodological point to be emphasized here is that the linguistic evidence takes precedence over archaeological and genetic data, which give no information about the languages spoken and can only support the linguistic evidence. The relative chronology of developments must be established on the basis of the comparative method and internal reconstruction. The location of a reconstructed language can only be established on the basis of lexical and onomastic material. On the other hand, archaeological or genetic data may supply the corresponding absolute chronology. It is therefore incorrect to attribute cultural influences in southern Scandinavia and the Baltic region in the third millennium to Germanic or Baltic speakers because these languages did not yet exist. While the Italo-Celtic branch may have separated from its Indo-European neighbors in the first half of the third millennium, Proto-Balto-Slavic and Proto-Indo-Iranian can be dated to the second millennium and Proto-Germanic to the end of the first millennium BC (cf. Kortlandt 2010: 173f., 197f., 249f.). The Indo-Europeans who moved to southern Scandinavia as part of the Corded Ware horizon were not the ancestors of Germanic speakers, who lived farther to the south, but belonged to an unknown branch that was eventually replaced by Germanic.

I hope we can see more and more anthropological papers like this, using traditional linguistics coupled with archaeology and the most recent genetic investigations.

EDIT (4 JUL 2018): Some errors corrected.

Related:

Pre-Germanic born out of a Proto-Finnic substrate in Scandinavia

indo-european-yamnaya-corded-ware

A commenter, Old Europe, drew my attention to the Uralic (Finnic-Saamic) substrate in Germanic proposed by Schrijver in Chapter V. Origins of Language Contact and the Origins of the Germanic Languages, Routledge (2014).

I wanted to share here some interesting excerpts (emphasis mine):

NOTE. I have avoided many detailed linguistic discussions. You should read the whole chapter to check them out.

The origins of the Germanic subfamily of Indo-European cannot be understood without acknowledging its interactions with a language group that has been its long-time neighbour: the Finnic subgroup of the Uralic language family. Indo-European and Uralic are linked to one another in two ways: they are probably related to one another in deep time — how deep is impossible to say3 — and Indo-European has been a constant source from which words were borrowed into Uralic languages, from the fourth millennium BC up to the present day.4 The section of the Uralic family that has always remained in close proximity to the Indo-European dialects which eventually turned into Germanic is Finnic. I use the term Finnic with a slightly idiosyncratic meaning : it covers the Finno-Saamic protolanguage and both of its children, Saami and Balto-Finnic.(…)

finnic-family-tree-schrijver
Schrijver (2014). The Finnic family tree (simplified)

Linguistically, the relationship between Indo-European and Uralic has always been asymmetrical. While hundreds of loanwords flowed into Uralic languages from Indo-European languages such as Germanic, Balto-Slavic, Iranian, and Proto-Indo-European itself, hardly any Uralic loanwords have entered the Indo-European languages (apart from a few relatively late dialectal loans into e.g. Russian and the Scandinavian languages). This strongly suggests that Uralic speakers have always been more receptive to ideas coming from Indo-European–speaking areas than the other way around. This inequality probably began when farming and the entire way of life that accompanies it reached Uralic-speaking territory via Indo-European–speaking territory, so that Uralic speakers, who traditionally were hunter-gatherers of the mixed and evergreen forest zone of northeastern Europe and gradually switched to an existence as sedentary farmers, were more likely to pick up ideas and the words that go with them from Indo-European than from anywhere else.

Farming requires a different mind-set from a hunter-gatherer existence. Farmers are generally sedentary, model the landscape, and have an agricultural calendar to determine their actions. Hunter-gatherers of the northern forest zone are generally nomadic, and rather than themselves modelling the natural environment they are modelled by it: their calendar depends on when and where a particular natural resource is available.(…)

All of this is no doubt a simplification of the thousands of years of associations between speakers of Uralic and speakers of Indo-European, but the loanword evidence strongly suggests that by and large relations between the two groups were highly unequal. The single direction in which loanwords flowed, and the mass of loanwords involved, can be compared with the relation between Latin and the vernacular languages in the Roman Empire, almost all of which disappeared in favour of Latin. It is therefore certain that groups of Uralic speakers switched to Indo-European. The question is whether we can trace those groups and, more particularly, whether Finnic speakers switching to Indo-European were involved in creating the Indo-European dialect we now know as Germanic.

Convergence of Finnic and Germanic

What both have in common is that the sound structures of Finnic and Germanic, which started from very different beginnings, apparently came to resemble one another significantly. If that is what we observe, we must conclude that both languages converged as a result of contact.

During the approximately five to six millennia that separate Proto-Uralic from Modern Finnish, there was only one episode during which the consonantal system underwent a dramatic overhaul. This episode separates the Finno-Saamic protolanguage, which is phonologically extremely conservative, from the Balto-Finnic protolanguage, which is very innovative.

finno-samic-consonants

By the time Finno-Saamic developed into Balto-Finnic, the consonant system was very different:

balto-finnic-consonants

In Balto-Finnic, the entire palatal series has been lost, apart from j, and the contrast between dentals and alveolars has disappeared: out of three different s-sounds only one remains. The fricatives ð and γ have been lost, and so has the velar nasal ŋ. The only increase has been in the number of long (geminate) consonants by the appearance of ss, mm, nn, and ll. The loss of separate alveolar and palatal series and the disappearance of ŋ could be conceived as convergences towards Proto-Germanic, which lacked such consonants. This is not obvious for the loss of the voiced fricatives γ, ð, which Proto-Germanic did possess. However, this way of comparing Balto-Finnic and Germanic is flawed in an important respect: what we are doing is assessing convergence by comparing the dynamic development from Finno-Saamic to Balto-Finnic to the static system of Proto-Germanic, as if Proto-Germanic is not itself the result of a set of changes to the ancestral Pre-Germanic consonantal system. If we wish to find out whether there was convergence and which language converged on which, what we should do, therefore, is to compare the dynamic development of Finno-Saamic to Balto-Finnic to the dynamic development of Pre-Germanic to Proto-Germanic, because only that procedure will allow us to state whether Balto-Finnic moved towards Proto-Germanic, or Proto-Germanic moved towards Balto-Finnic, or both moved towards a third language. The Pre-Germanic consonantal system can be reconstructed as follows: 7

pre-germanic-proto-germanic-verner-s-law

The slashes in the second and third rows indicate the uncertainty about the Proto-Indo-European nature of the sounds involved. (…)

What resulted was the following Proto-Germanic consonant system:

proto-germanic-consonant-system

We are now in a better position to answer the question whether Proto-Germanic and Balto-Finnic have converged. Three striking developments affected both languages:

  • Both languages lost the palatalized series of consonants (apart from j), which in both languages became non-palatalized.
  • Both languages developed an extensive set of long (geminate) consonants; Pre-Germanic had none, while Finno-Saamic already had a few.
  • Both languages developed an h.

These similarities between the languages are considerable.

The idea that perhaps both languages moved towards a lost third language, whose speakers may have been assimilated to both Balto-Finnic and Germanic, provides a fuller explanation but suffers from the drawback that it shifts the full burden of the explanation to a mysterious ‘language X’ that is called upon only in order to explain the developments in Proto-Germanic and Balto-Finnic. That comes dangerously close to circular reasoning.

Verner’s Law in Pre-Germanic

As we have seen in the preceding section, Verner’s law is a sound change that affected originally voiceless consonants, so *p , t , k , kj , kw, s of the Pre-Germanic system. These normally became the Proto-Germanic voiceless fricatives *f, θ, h, h, hw, s, respectively. But if *p, t, k etc. were preceded by an originally unstressed syllable, Verner’s law intervened and they were turned into voiced consonants. Those voiced consonants merged with the series *bh, dh, gh of the Pre-Germanic system and therefore subsequently underwent all changes that the latter did, turning out as *b/v , *d/ð , g/γ in the Proto-Germanic system (that is, v, ð, γ after a vowel and b, d, g in all other environments in the word). When *s was affected by Verner’s Law, a new phoneme *z arose. In a diagram:

pre-germanic-verner-s-law

While it is very common in the history of European languages for stress to influence the development of vowels, it only very rarely affected consonants in this part of the world. Verner’s law is a striking exception. It resembles a development which, on a much larger scale, affected Finno-Saamic: consonant gradation.(…)

In all Finno-Saamic languages, rhythmic gradation has become phonemic and fossilized. The connection between rhythmic gradation and Verner’s law is relatively straightforward: both processes involve changing a voiceless consonant after an unstressed syllable. (…)

We can therefore repeat for Proto-Uralic the argument that persuaded us earlier that gradation in Saami and Balto-Finnic must go back to the common Finno-Saamic protolanguage: the similarity of the gradation rules in Nganasan to those in Finno-Saamic is so specific and so detailed, and the phenomenon of gradation so rare in the languages of the world, that gradation must be reconstructed for the Uralic protolanguage.

Verner’s law turns all voiceless obstruents (Pre-Germanic *p, t, k, kj, kw, s) into voiced obstruents (ultimately Proto-Germanic *b/v , d/ð, g/γ, g/γ, gw, z) after a Pre-Germanic unstressed syllable. Rhythmic gradation turns all voiceless obstruents after an unstressed syllable into weak-grade consonants, which means that *p, t, k, s become Finnic *b/v , d/ð , g/γ, z. This is striking. Given the geographical proximity of Balto-Finnic and Germanic and given the rare occurrence of stress-related consonant changes in European languages, it would be unreasonable to think that Verner’s law and rhythmic gradation have nothing to do with one another.

It is very hard to accept, however, that gradation is the result of copying Verner’s law into Finnic. First of all, Verner’s law, which might account for rhythmic gradation, in no way accounts for syllabic gradation in Finnic. And, second, gradation can be shown to be an inherited feature of Finnic which goes all the way back to Proto-Uralic. Once one acknowledges that Verner’s law and gradation are causally linked and that gradation cannot be explained as a result of copying Verner’s law into Finnic, there remains only one possibility: Verner’s law is a copy of Finnic rhythmic gradation into Germanic. That means that we have finally managed to find what we were looking for all along: a Finnic sound feature in Germanic that betrays that Finnic speakers shifted to Germanic and spoke Germanic with a Finnic accent. The consequence of this idea is dramatic: since Verner’s law affected all of Germanic, all of Germanic has a Finnic accent.

indo-european-uralic-bell-beaker-corded-ware-migrations
Late Chalcolithic migrations ca. 2600-2250 BC.

On the basis of this evidence for Finnic speakers shifting to Germanic, it is possible to ascribe other, less specifically Finnic traits in Germanic to the same source. The most obvious trait is the fixation of the main stress on the initial syllable of the word. Initial stress is inherited in Finno-Saamic but was adopted in Germanic only after the operation of Verner’s law, quite probably under Finnic influence. The consonantal changes described in section V.3.1 can be attributed to Finnic with less confidence. The best case can be made for the development of geminate (double) consonants in Germanic, which did not inherit any of them, while Finno-Saamic inherited *pp, tt, kk, cc and took their presence as a cue to develop other geminates such as *nn and *ll . Possibly geminates developed so easily in Proto-Germanic because Finnic speakers (who switched to Germanic) were familiar with them. Other consonantal changes, such as the loss of the palatalized series in both Germanic and Balto-Finnic and the elimination of the different s- and c-phonemes, might have occurred for the same reason: if Balto-Finnic had undergone them earlier than Germanic, which we do not know, they could have constituted part of the Balto-Finnic accent in Germanic. An alternative take on those changes starts from the observation that they all constitute simplifications of an older, richer system of consonants. While simplifications can be and often are caused by language shift if the new speakers lacked certain phonemes in their original language, simplifications do not require an explanation by shift: languages are capable of simplifying a complex system all by themselves. Yet the similarities between the simplifications in Germanic and in Balto-Finnic are so obvious that one would not want to ascribe their co-occurrence to accidental circumstances.

Grimm’s Law in Proto-Germanic (speculative)

Voiceless lenis pronunciation of b, d, g is typical of the majority of German and Scandinavian dialects, so may well have been inherited from Proto-Germanic. Voiceless lenis is also the pronunciation that has been assumed to underlie the weak grades of Finno-Saamic single *p, t, k. If Proto-Germanic *b, d, g were indeed voiceless lenis, the single most striking result of the Germanic consonant shift is that it eliminated the phonological difference between voiced and voiceless consonants that Germanic had inherited from Proto-Indo-European (…) Since neither Finno-Saamic nor Balto-Finnic possessed a phonological difference between voiced and voiceless obstruents, its loss in Proto-Germanic can be regarded as yet another example of a Finnic feature in Germanic.

grimms-law

It is clear that this account of the first Germanic consonant shift as yet another example of Finnic influence is to some degree speculative. The point I am making is not that the Germanic consonant shift must be explained on the basis of Finnic influence, like Verner’s law and word-initial stress, only that it can be explained in this way, just like other features of the Germanic sound system discussed earlier, such as the loss of palatalized consonants and the rise of geminates.

A consequence of this account of the origins of the Proto-Germanic consonantal system is that the transition from Pre-Germanic to Proto-Germanic was entirely directed by Finnic. Or, to put it in less subtle words: Indo-European consonants became Germanic consonants when they were pronounced by Finnic speakers.

post-bell-beaker-europe
Post-Bell-Beaker Europe, after ca. 2200 BC.

The vocalic system, on the other hand, presented less difficulties for both, Indo-European and Uralic speakers, since it was quite similar.

Schrijver goes on to postulate certain asymmetric differences in loans, especially with regard to Proto-Germanic, Balto-Finnic, Proto-Saamic, Proto-Baltic, and later contacts, including a potential non-Uralic, non-IE substrate language to justify some of these, which may in turn be connected with Kroonen’s agricultural substrate hypothesis of Proto-Germanic, and thus also with the other surviving Scandinavian Neolithic cultures before the eventual simplification of the cultural landscape during the Bronze Age.

Conclusion on the origin of Germanic

The Finnic-Germanic contact situation has turned out to be of a canonical type. To Finnic speakers, people who spoke prehistoric Germanic and its ancestor, Pre-Germanic, must have been role models. Why they were remains unclear. In the best traditions of Uralic–Indo-European contacts, Finnic speakers adopted masses of loanwords from (Pre-)Germanic. Some Finnic speakers even went a crucial step further and became bilingual: they spoke Pre-Germanic according to the possibilities offered by the Finnic sound system, which meant they spoke with a strong accent. The accent expressed itself as radical changes in the Pre-Germanic consonantal system and no changes in the Pre-Germanic vowel system. This speech variety became very successful and turned an Indo-European dialect into what we now know as Germanic. Bilingual speakers became monolingual speakers of Germanic.

What we do not know is for how long Finnic-Germanic bilingualism persisted. It is possible that it lasted for some time because both partners grew more alike even with respect to features whose origin we cannot assign to either of them (loss of palatalized consonants): this suggests, perhaps, that both languages became more similar because generally they were housed in the same brain. What we can say with more confidence is that the bilingual situation ultimately favoured Germanic over Finnic: loanwords continued to flow in one direction only, from Germanic to Finnic, hence it is clear that Germanic speakers remained role models.

This is as far as the linguistic evidence can take us for the moment.

Based on archaeology and genetics, I think we can say that the close North-West Indo-European – Proto-Finnic interaction in Scandinavia lasted for hundreds of years, during the time when a unifying Nordic culture and language developed from Bell Beaker maritime elites dominating over Corded Ware groups.

As we know, Uralic languages were in close contact with Middle PIE, and also later with Proto-Indo-Iranian. This Pre-Germanic development in Scandinavia is therefore another hint at the identification of a rather early Proto-Finnic spoken in the Baltic area – potentially then by Battle Axe groups – , and thus the general identification of Uralic expansion with the different Corded Ware groups.

NOTE. The ‘common’ loss of certain palatals, which Schrijver interprets as a change of Pre-Germanic from the inherited Proto-Indo-European, may in fact not be such – in the opinion of bitectalists, including us, and especially taking the North-West Indo-European reconstruction and the Corded Ware substrate hypothesis into account – , so this effect would be a rather unidirectional shift from Finnic to Germanic. On the other hand, certain palatalization trends which some have described for Germanic could in fact be explained precisely by this bidirectional influence.

Related: