Migrations painted by Irish and Scottish genetic clusters, and their relationship with British and European ones

ireland-britain-cluster

Interesting and related publications, now appearing in pairs…

1. The Irish DNA Atlas: Revealing Fine-Scale Population Structure and History within Ireland, by Gilbert et al., in Scientific Reports (2017).

Abstract:

The extent of population structure within Ireland is largely unknown, as is the impact of historical migrations. Here we illustrate fine-scale genetic structure across Ireland that follows geographic boundaries and present evidence of admixture events into Ireland. Utilising the ‘Irish DNA Atlas’, a cohort (n = 194) of Irish individuals with four generations of ancestry linked to specific regions in Ireland, in combination with 2,039 individuals from the Peoples of the British Isles dataset, we show that the Irish population can be divided in 10 distinct geographically stratified genetic clusters; seven of ‘Gaelic’ Irish ancestry, and three of shared Irish-British ancestry. In addition we observe a major genetic barrier to the north of Ireland in Ulster. Using a reference of 6,760 European individuals and two ancient Irish genomes, we demonstrate high levels of North-West French-like and West Norwegian-like ancestry within Ireland. We show that that our ‘Gaelic’ Irish clusters present homogenous levels of ancient Irish ancestries. We additionally detect admixture events that provide evidence of Norse-Viking gene flow into Ireland, and reflect the Ulster Plantations. Our work informs both on Irish history, as well as the study of Mendelian and complex disease genetics involving populations of Irish ancestry.

european-ancestry-british-isles
The European ancestry profiles of 30 Irish and British clusters. (a) The total ancestry contribution summarised by majority European country of origin to each of the 30 Irish and British clusters. (b) (left) The ancestry contributions of 19 European clusters that donate at least 2.5% ancestry to any one Irish or British cluster. (right) The geographic distribution of the 19 European clusters, shown as the proportion of individuals in each European region belonging to each of the 19 European clusters. The proportion of individuals form each European region not a member of the 19 European clusters is shown in grey. Total numbers of individuals from each region are shown in white text. Not all Europeans included in the analysis were phenotyped geographically. The figure was generated in the statistical software language R46, version 3.4.1, using various packages. The map of Europe was sourced from the R software package “mapdata” (https://CRAN.R-project.org/package=mapdata).

2. New preprint on BioRxiv, Insular Celtic population structure and genomic footprints of migration, by Byrne, Martiniano et al. (2017).

Abstract:

Previous studies of the genetic landscape of Ireland have suggested homogeneity, with population substructure undetectable using single-marker methods. Here we have harnessed the haplotype-based method fineSTRUCTURE in an Irish genome-wide SNP dataset, identifying 23 discrete genetic clusters which segregate with geographical provenance. Cluster diversity is pronounced in the west of Ireland but reduced in the east where older structure has been eroded by historical migrations. Accordingly, when populations from the neighbouring island of Britain are included, a west-east cline of Celtic-British ancestry is revealed along with a particularly striking correlation between haplotypes and geography across both islands. A strong relationship is revealed between subsets of Northern Irish and Scottish populations, where discordant genetic and geographic affinities reflect major migrations in recent centuries. Additionally, Irish genetic proximity of all Scottish samples likely reflects older strata of communication across the narrowest inter-island crossing. Using GLOBETROTTER we detected Irish admixture signals from Britain and Europe and estimated dates for events consistent with the historical migrations of the Norse-Vikings, the Anglo-Normans and the British Plantations. The influence of the former is greater than previously estimated from Y chromosome haplotypes. In all, we paint a new picture of the genetic landscape of Ireland, revealing structure which should be considered in the design of studies examining rare genetic variation and its association with traits.

Here are some interesting excerpts (emphasis mine):

Population structure in Ireland

The geographical distribution of this deep subdivision of Leinster resembles pre-Norman territorial boundaries which divided Ireland into fifths (cúige), with north Leinster a kingdom of its own known as Meath (Mide) [15]. However interpreted, the firm implication of the observed clustering is that despite its previously reported homogeneity, the modern Irish population exhibits genetic structure that is subtly but detectably affected by ancestral population structure conferred by geographical distance and, possibly, ancestral social structure.

ChromoPainter PC1 demonstrated high diversity amongst clusters from the west coast, which may be attributed to longstanding residual ancient (possibly Celtic) structure in regions largely unaffected by historical migration. Alternatively, genetic clusters may also have diverged as a consequence of differential influence from outside populations. This diversity between western genetic clusters cannot be explained in terms of geographic distance alone.

In contrast to the west of Ireland, eastern individuals exhibited relative homogeneity; (…) The overall pattern of western diversity and eastern homogeneity in Ireland may be explained by increased gene flow and migration into and across the east coast of Ireland from geographically proximal regions, the closest of which is the neighbouring island of Britain.

Analysis of variance of the British admixture component in cluster groups showed a significant difference (p < 2×10-16), indicating a role for British Anglo-Saxon admixture in distinguishing clusters, and ChromoPainter PC2 was correlated with the British component (p < 2×10-16), explaining approximately 43% of the variance. PC2 therefore captures an east to west Anglo-Celtic cline in Irish ancestry. This may explain the relative eastern homogeneity observed in Ireland, which could be a result of the greater English influence in Leinster and the Pale during the period of British rule in Ireland following the Norman invasion, or simply geographic proximity of the Irish east coast to Britain. Notably, the Ulster cluster group harboured an exceptionally large proportion of the British component (Fig 1D and 1E), undoubtedly reflecting the strong influence of the Ulster Plantations in the 17th century and its residual effect on the ethnically British population that has remained.

ireland-population-structure
Fine-grained population structure in Ireland. (A) fineSTRUCTURE clustering dendrogram for 1,035 Irish individuals. Twenty-three clusters are defined, which are combined into cluster groups for clusters that are neighbouring in the dendrogram, overlapping in principal component space (B) and sampled from regions that are geographically contiguous. Details for each cluster in the dendrogram are provided in S1 Fig. (B) Principal components analysis (PCA) of haplotypic similarity, based on ChromoPainter coancestry matrix for Irish individuals. Points are coloured according to cluster groups defined in (A); the median location of each cluster group is plotted. (C) Map of Irelandshowing the sampling location for a subset of 588 individuals analysed in (A) and (B), coloured by cluster group. Points have been randomly jittered within a radius of 5 km to preserve anonymity. Precise sampling location for 44 Northern Irish individuals from the People of the British Isles dataset was unknown; these individuals are plotted geometrically in a circle. (D) “British admixture component” (ADMIXTURE estimates; k=2) for Irish cluster groups. This component has the largest contribution in ancient Anglo-Saxons and the SEE cluster. (E) Linear regression of principal component 2 (B) versus British admixture component (r2 = 0.43; p < 2×10-16). Points are coloured by cluster group. (Standard error for ADMIXTURE point estimates presented in S11 Fig.)

On the genetic structure of the British Isles

The genetic substructure observed in Ireland is consistent with long term geographic diversification of Celtic populations and the continuity shown between modern and Early Bronze Age Irish people

Clusters representing Celtic populations harbouring less Anglo-Saxon influence separate out above and below SEE on PC4. Notably, northern Irish clusters (NLU), Scottish (NISC, SSC and NSC), Cumbria (CUM) and North Wales (NWA) all separate out at a mutually similar level, representing northern Celtic populations. The southern Celtic populations Cornwall (COR), south Wales (SWA) and south Munster (SMN) also separate out on similar levels, indicating some shared haplotypic variation between geographically proximate Celtic populations across both Islands. It is notable that after the split of the ancestrally divergent Orkney, successive ChromoPainter PCs describe diversity in British populations where “Anglo-saxonization” was repelled [22]. PC3 is dominated by Welsh variation, while PC4 in turn splits North and South Wales significantly, placing south Wales adjacent to Cornwall and north Wales at the other extreme with Cumbria, all enclaves where Brittonic languages persisted.

In an interesting symmetry, many Northern Irish samples clustered strongly with southern Scottish and northern English samples, defining the Northern Irish/Cumbrian/Scottish (NICS) cluster group. More generally, by modelling Irish genomes as a linear mixture of haplotypes from British clusters, we found that Scottish and northern English samples donated more haplotypes to clusters in the north of Ireland than to the south, reflecting an overall correlation between Scottish/north English contribution and ChromoPainter PC1 position in Fig 1 (Linear regression: p < 2×10-16, r2 = 0.24).

North to south variation in Ireland and Britain are therefore not independent, reflecting major gene flow between the north of Ireland and Scotland (Fig 5) which resonates with three layers of historical contacts. First, the presence of individuals with strong Irish affinity among the third generation PoBI Scottish sample can be plausibly attributed to major economic migration from Ireland in the 19th and 20th centuries [6]. Second, the large proportion of Northern Irish who retain genomes indistinguishable from those sampled in Scotland accords with the major settlements (including the Ulster Plantation) of mainly Scottish farmers following the 16th Century Elizabethan conquest of Ireland which led to these forming the majority of the Ulster population. Third, the suspected Irish colonisation of Scotland through the Dál Riata maritime kingdom, which expanded across Ulster and the west coast of Scotland in the 6th and 7th centuries, linked to the introduction and spread of Gaelic languages [3]. Such a migratory event could work to homogenise older layers of Scottish population structure, in a similar manner as noted on the east coasts of Britain and Ireland. Earlier communications and movements across the Irish Sea are also likely, which at its narrowest point separates Ireland from Scotland by approximately 20 km.

ireland-britain-genetic-geography
Genes mirror geography in the British Isles. (A) fineSTRUCTURE clustering dendrogram for combined Irish and British data. Data principally split into Irish and British groups before subdividing into a total of 50 distinct clusters, which are combined into cluster groups for clusters that formed clades in the dendrogram, overlapped in principal component space (B) and were sampled from regions that are geographically contiguous. Names and labels follow the geographical provenance for the majority of data within the cluster group. Details for each cluster in the dendrogram are provided in S2 Fig. (B) Principal component analysis (PCA) of haplotypic similarity based on the ChromoPainter coancestry matrix, coloured by cluster group with their median locations labelled. We have chosen to present PC1 versus PC4 here as these components capture new information regarding correlation between haplotypic variation across Britain and Ireland and geography, while PC2 and PC3 (Fig 4) capture previously reported splitting for Orkney and Wales from Britain [7]. A map of Ireland and Britain is shown for comparison, coloured by sampling regions for cluster groups, the boundaries of which are defined by the Nomenclature of Territorial Units for Statistics (NUTS 2010), with some regions combined. Sampling regions are coloured by the cluster group with the majority presence in the sampling region; some sampling regions have significant minority cluster group representations as well, for example the Northern Ireland sampling region (UKN0; NUTS 2010) is majorly explained by the NICS cluster group but also has significant representation from the NLU cluster group. The PCA plot has been rotated clockwise by 5 degrees to highlight its similarity with the geographical map of the Ireland and Britain. NI, Northern Ireland; PC, principal component. Cluster groups that share names with groups from Fig 1 (NLU; SMN; CLN; CNN) have an average of 80% of their samples shared with the initial cluster groups. © EuroGeographics for the map and administrative boundaries, note some boundaries have been subsumed or modified to better reflect sampling regions.

Genomic footprints of migration into Ireland

Quite interesting is that it is haplogroups, and not admixture, that which defines the oldest migration layers into Ireland. Without evidence of paternal Y-DNA lineages we would probably not be able to ascertain the oldest migrations and languages broght by migrants, including Celtic languages:

Of all the European populations considered, ancestral influence in Irish genomes was best represented by modern Scandinavians and northern Europeans, with a significant single-date one-source admixture event overlapping the historical period of the Norse-Viking settlements in Ireland (p < 0.01; fit quality FQB > 0.985; Fig 6). (…) This suggests a contribution of historical Viking settlement to the contemporary Irish genome and contrasts with previous estimates of Viking ancestry in Ireland based on Y chromosome haplotypes, which have been very low [25]. The modern-day paucity of Norse-Viking Y chromosome haplotypes may be a consequence of drift with the small patrilineal effective population size, or could have social origins with Norse males having less influence after their military defeat and demise as an identifiable community in the 11th century, with persistence of the autosomal signal through recombination.

European admixture date estimates in northwest Ulster did not overlap the Viking age but did include the Norman period and the Plantations

The genetic legacies of the populations of Ireland and Britain are therefore extensively intertwined and, unlike admixture from northern Europe, too complex to model with GLOBETROTTER.

ireland-admixture-estimates
All-Ireland GLOBETROTTER admixture date estimates for European and British surrogate admixing populations. A summary of the date estimates and 95% confidence intervals for inferred admixture events into Ireland from European and British admixing sources is shown in (A), with ancestry proportion estimates for each historical source population for the two events and example coancestry curves shown in (B). In the coancestry curves Relative joint probability estimates the pairwise probability that two haplotype chunks separated by a given genetic distance come from the two modeled source populations respectively (ie FRA(8) and NOR-SG); if a single admixture event occurred, these curves are expected to decay exponentially at a rate corresponding to the number of generations since the event. The green fitted line describes this GLOBETROTTER fitted exponential decay for the coancestry curve. If the sources come from the same ancestral group the slope of this curve will be negative (as with FRA(8) vs FRA(8)), while a positive slope indicates that sources come from different admixing groups (as with FRA(8) vs NOR-SG). The adjacent bar plot shows the inferred genetic composition of the historical admixing sources modelled as a mixture of the sampled modern populations. A European admixture event was estimated by GLOBETROTTER corresponding to the historical record of the Viking age, with major contributions from sources similar to modern Scandinavians and northern Europeans and minor contributions from southern European-like sources. For admixture date estimates from British-like sources the influence of the Norman settlement and the Plantations could not be disentangled, with the point estimate date for admixture falling between these two eras and GLOBETROTTER unable to adequately resolve source and proportion details of admixture event (fit quality FQB< 0.985). The relative noise of the coancestry curves reflects the uncertainty of the British event. Cluster labels (for the European clustering dendrogram, see S4 Fig; for the PoBI clustering dendrogram, see S3 Fig): FRA(8), France cluster 8; NOR-SG, Norway, with significant minor representations from Sweden and Germany; SE_ENG, southeast England; N_SCOT(4) northern Scotland cluster 4.

Another study that strengthens the need to ascertain haplogroup-admixture differences between Yamna/Bell Beaker and Sredni Stog/Corded Ware.

Text and images from preprint article under a CC-BY-NC-ND 4.0 International license.

Featured image, from the article on Science Reports: The clustering of individuals with Irish and British ancestry based solely on genetics. Shown are 30 clusters identified by fineStructure from 2,103 Irish and British individuals. The dendrogram (left) shows the tree of clusters inferred by fineStructure and the map (right) shows the geographic origin of 192 Atlas Irish individuals and 1,611 British individuals from the Peoples of the British Isles (PoBI) cohort, labelled according to fineStructure cluster membership. Individuals are placed at the average latitude and longitude of either their great-grandparental (Atlas) or grandparental (PoBI) birthplaces. Great Britain is separated into England, Scotland, and Wales. The island of Ireland is split into the four Provinces; Ulster, Connacht, Leinster, and Munster. The outline of Britain was sourced from Global Administrative Areas (2012). GADM database of Global Administrative Areas, version 2.0. www.gadm.org. The outline of Ireland was sourced from Open Street Map Ireland, Copyright OpenStreetMap Contributors, (https://www.openstreetmap.ie/) – data available under the Open Database Licence. The figure was plotted in the statistical software language R46, version 3.4.1, with various packages.
Related:

Expansion of peoples associated with spread of haplogroups: Mongols and C3*-F3918, Arabs and E-M183 (M81)

iron-age-migrations

Two recent interesting papers on the potential expansion of cultures associated with haplogroups:

1. Whole Y-chromosome sequences reveal an extremely recent origin of the most common North African paternal lineage E-M183 (M81), by Solé-Morata et al., Scientific Reports (2017).

Abstract:

E-M183 (E-M81) is the most frequent paternal lineage in North Africa and thus it must be considered to explore past historical and demographical processes. Here, by using whole Y chromosome sequences from 32 North African individuals, we have identified five new branches within E-M183. The validation of these variants in more than 200 North African samples, from which we also have information of 13 Y-STRs, has revealed a strong resemblance among E-M183 Y-STR haplotypes that pointed to a rapid expansion of this haplogroup. Moreover, for the first time, by using both SNP and STR data, we have provided updated estimates of the times-to-the-most-recent-common-ancestor (TMRCA) for E-M183, which evidenced an extremely recent origin of this haplogroup (2,000–3,000 ya). Our results also showed a lack of population structure within the E-M183 branch, which could be explained by the recent and rapid expansion of this haplogroup. In spite of a reduction in STR heterozygosity towards the West, which would point to an origin in the Near East, ancient DNA evidence together with our TMRCA estimates point to a local origin of E-M183 in NW Africa.

haplogroup-E-M183-subclade-distribution
Distribution of E-M183 subclades among North Africa, the Near East and the Iberian Peninsula. Pie chart sectors areas are proportional to haplogroup frequency and are coloured according to haplogroup in the schematic tree to the right. n: sample size. Map was generated using R software.

An interesting excerpt, from the discussion:

Regarding the geographical origin of E-M183, a previous study suggested that an expansion from the Near East could explain the observed east-west cline of genetic variation that extends into the Near East. Indeed, our results also showed a reduction in STR heterozygosity towards the West, which may be taken to support the hypothesis of an expansion from the Near East. In addition, previous studies based on genome-wide SNPs reported that a North African autochthonous component increase towards the West whereas the Near Eastern decreases towards the same direction, which again support an expansion from the Near East. However, our correlations should be taken carefully because our analysis includes only six locations on the longitudinal axis, none from the Near East. As a result, we do not have sufficient statistical power to confirm a Near Eastern origin. In addition, rather than showing a west-to-east cline of genetic diversity, the overall picture shown by this correlation analysis evidences just low genetic diversity in Western Sahara, which indeed could be also caused by the small sample size (n = 26) in this region. Alternatively, given the high frequency of E-M183 in the Maghreb, a local origin of E-M183 in NW Africa could be envisaged, which would fit the clear pattern of longitudinal isolation by distance reported in genome-wide studies. Moreover, the presence of autochthonous North African E-M81 lineages in the indigenous population of the Canary Islands, strongly points to North Africa as the most probable origin of the Guanche ancestors. This, together with the fact that the oldest indigenous inviduals have been dated 2210 ± 60 ya, supports a local origin of E-M183 in NW Africa. Within this scenario, it is also worth to mention that the paternal lineage of an early Neolithic Moroccan individual appeared to be distantly related to the typically North African E-M81 haplogroup30, suggesting again a NW African origin of E-M183. A local origin of E-M183 in NW Africa > 2200 ya is supported by our TMRCA estimates, which can be taken as 2,000–3,000, depending on the data, methods, and mutation rates used.

The TMRCA estimates of a certain haplogroup and its subbranches provide some constraints on the times of their origin and spread. Although our time estimates for E-M78 are slightly different depending on the mutation rate used, their confidence intervals overlap and the dates obtained are in agreement with those obtained by Trombetta et al Regarding E-M183, as mentioned above, we cannot discard an expansion from the Near East and, if so, according to our time estimates, it could have been brought by the Islamic expansion on the 7th century, but definitely not with the Neolithic expansion, which appeared in NW Africa ~7400 BP and may have featured a strong Epipaleolithic persistence. Moreover, such a recent appearance of E-M183 in NW Africa would fit with the patterns observed in the rest of the genome, where an extensive, male-biased Near Eastern admixture event is registered ~1300 ya, coincidental with the Arab expansion. An alternative hypothesis would involve that E-M183 was originated somewhere in Northwest Africa and then spread through all the region. Our time estimates for the origin of this haplogroup overlap with the end of the third Punic War (146 BCE), when Carthage (in current Tunisia) was defeated and destroyed, which marked the beginning of Roman hegemony of the Mediterranean Sea. About 2,000 ya North Africa was one of the wealthiest Roman provinces and E-M183 may have experienced the resulting population growth.

2. The Y-chromosome haplogroup C3*-F3918, likely attributed to the Mongol Empire, can be traced to a 2500-year-old nomadic group, by Zhang et al., Journal of Human Genetics (2017)

Abstract:

The Mongol Empire had a significant role in shaping the landscape of modern populations. Many populations living in Eurasia may have been the product of population mixture between ancient Mongolians and natives following the expansion of Mongol Empire. Geneticists have found that most of these populations carried the Y-haplogroup C3* (C-M217). To trace the history of haplogroup (Hg) C3* and to further understand the origin and development of Mongolians, ancient human remains from the Jinggouzi, Chenwugou and Gangga archaeological sites, which belonged to the Donghu, Xianbei and Shiwei, respectively, were analysed. Our results show that nine of the eleven males of the Gangga site, two of the eight males of Chengwugou site and all of the twelve males of Jinggouzi site were found to have mutations at M130 (Hg C), M217 (Hg C3), L1373 (C2b, ISOGG2015), with the absence of mutations at M93 (Hg C3a), P39 (Hg C3b), M48 (Hg C3c), M407 (Hg C3d) and P62 (Hg C3f). These samples were attributed to the Y-chromosome Hg C3* (Hg C2b, ISOGG2015), and most of them were further typed as Hg C2b1a based on the mutation at F3918. Finally, we inferred that the Y-chromosome Hg C3*-F3918 can trace its origins to the Donghu ancient nomadic group.

mongol-expansion-y-dna-haplogroup
The development of Mongolia and the frequencies of haplogroup C3* in modern Eurasians. a The development of Mongolia. b The frequencies of haplogroup C3 in modern Eurasians. The dotted line represents the approximate boundary between the Xiongnu and the Donghu. The black and grey arrows denote the migration of the Donghu and Mongolians, respectively

The expansion of peoples is known to be associated with the spread of a certain admixture component, joint with the expansion and reduction in variability of a haplogroup. In other words, few male lineages are usually more successful during the expansion.

Other known examples include:

Featured image: Diachronic map of Iron Age migrations ca. 750-250 BC.

Related:

The renewed ‘Kurgan model’ of Kristian Kristiansen and the Danish school: “The Indo-European Corded Ware Theory”

Allentoft Corded Ware

A popular science article on Indo-European migrations has appeared at Science News, entitled How Asian nomadic herders built new Bronze Age cultures, signed by Bruce Bower. While the article is well-balanced and introduces new readers to the current status quo of the controversy on Indo-European migrations – including the opposing theories led by Kristiansen/Anthony vs. Heyd – , it reverberates yet again the conclusions of the 2015 Nature articles on the subject, especially with its featured image.

I have argued many times why the recent ‘Yamnaya -> Corded Ware -> Bell Beaker’ migration model is wrong, mainly within my essay Indo-European demic diffusion model, but also in articles of this blog, most recently in the post Correlation does not mean causation: the damage of the ‘Yamnaya ancestral component’, and the ‘Future America’ hypothesis). It is known that Nature is a bit of a ‘tabloid’ in the publishing industry, and these 2015 articles offered simplistic conclusions based on a wrong assessment of archaeological and linguistic data, in search for groundbreaking conclusions.

An excerpt from Bower’s article:

Corded Ware culture emerged as a hybrid way of life that included crop cultivation, breeding of farm animals and some hunting and gathering, Kristiansen argues. Communal living structures and group graves of earlier European farmers were replaced by smaller structures suitable for families and single graves covered by earthen mounds. Yamnaya families had lived out of their wagons even before trekking to Europe. A shared emphasis on family life and burying the dead individually indicates that members of the Yamnaya and Corded Ware cultures kept possessions among close relatives, in Kristiansen’s view.

“The Yamnaya and the Corded Ware culture were unified by a new idea of transmitting property between related individuals and families,” Kristiansen says.

Yamnaya migrants must have spoken a fledgling version of Indo-European languages that later spread across Europe and parts of Asia, Kristiansen’s group contends. Anthony, a longtime Kristiansen collaborator, agrees. Reconstructed vocabularies for people of the Corded Ware culture include words related to wagons, wheels and horse breeding that could have come only from the Yamnaya, Anthony says.

I have already talked about Kristiansen’s continuation of Gimbutas’ outdated ideas: we are seeing a renewed effort by some Scandinavian (mainly Danish) scholars to boost (and somehow capitalise) the revitalised concept of the “Kurgan people”, although now the fundamental issue has been more clearly shifted to the language spoken by Corded Ware migrants.

As far as I can tell, this renewed interest began two years ago, with the simultaneous publication of genetic studies by Haak et al. (2015), and Allentoft et al. (2015), and the misuse of the cursed concept of ‘Yamnaya ancestry‘ to derive far-fetched conclusions.

On the other hand, genetic research is not solely responsible for this: David Anthony – who was apparently consulted by Haak et al. (2015) for their paper, where he appears as co-author – has kept a low (or lower) profile, and only recently has he merely suggested potential links between Corded Ware and Bell Beaker cultures in Lesser Poland, that might explain what (some geneticists have told him) appeared as a potential Yamna -> Corded Ware -> Bell Beaker migration in the first ancient samples studied.

Anthony’s migration model remains otherwise strongly based on Archaeology, offering a careful interpretation of potential contacts and migrations in the Pontic-Caspian steppe, and only marginally offers some views on Linguistics (based on Ringe’s controversial ‘glottochronological model’ of 2006), to the extent that he is compelled to explain the potential adoption of Indo-European by Corded Ware culture (CWC) peoples as multiple cultural diffusion events, since no migration is observed from the steppe to CWC territories.

I think he is thus showing a great deal of restraint, not jumping on the bandwagon of this recent trend based on scarce genetic finds – and therefore losing also the opportunity to publish articles in journals of high impact factor….

This newly created Danish school, on the other hand, seems to be swimming with the tide. Kristiansen, known for his controversial ‘universal’ interpretations of European Prehistory – which are nevertheless more readable and interesting than most specialised literature on Archaeology, at least for us non-archaeologists – , has apparently seized the opportunity to give a strong impulse to his theories.

Not that there is nothing wrong with that, of course, but sometimes it might seem that a lot of papers (or even researchers) support something, when in fact there are only a few of them, working closely together

I see therefore three main “branches” of this support (two of them, Genetics and Linguistics, only recently giving some limited air to this dying hypothesis), with a closely related group of people involved in this model, and they are lending continuous support to each other, by repeating the same theory – and repeating the same misleading map images (like the one shown in the article) – , so that the circular reasoning they represent is concealed behind seemingly independent works.

The theory and its development

The main theory is officially rooted then in Kristiansen’s hypothesis, whose first article on the subject seems to be Prehistoric Migrations – the Case of the Single Grave and Corded Ware Cultures (1989), supporting the Kurgan model applied to the Corded Ware migrations. It was probably a kind of a breakthrough in Archaeology, bringing migration to mainstream Archaeology again (followed closely by Anthony), and he deserves merit for this.

After this proposal, there are mostly just his publications supporting this model. Nevertheless, Kristiansen’s model, I gather, did not involve the sudden Yamnaya -> Corded Ware migrations discussed in recent genetic articles, but long-lasting contacts between peoples and cultures from the North Pontic steppe, Trypillian, and Globular Amphora, that formed a new mixed one, the Corded Ware people and culture. Also, in Gimbutas’ original model of migration (1963), waves of Kurgan migrants are also described into Vučedol and Bell Beaker, which have been apparently forgotten in recent models*.
* The most recent model by Anthony describes such migrations into Early Bronze Age Balkan cultures – as do most archaeological publications today – , but he is unable to recognize migration waves from Yamna into the Corded Ware culture, and because of that describes mere potential routes (or modes) of cultural diffusion including language change.

kristiansen-corded-ware-kurgan
Proposal for the origin and spread of the Corded Ware/ Battle Axe cultural complex: 1) Distribution of CWC groups; 2) Yamna culture; 3) presumed area of origin; 4) presumed main directions of the primary distribution. Also numbered are other individual CW cultures. From Kristiansen (1989).

Then – skipping the years of simplistic phylogeography based on modern haplogroup distribution – we have to jump directly to Allentoft (of the Natural History Museum of Denmark) and cols. and their article on population genomics of Bronze Age Eurasia (2015), with which Kristiansen collaborated, and which offers the first direct association of Corded Ware as the vector of expansion of Indo-European peoples and languages from Yamna. An interesting take on the Yamna -> Corded Ware -> Bell Beaker question is represented by their very ‘kurgan-like’ Corded Ware-centric map:

allentoft-yamna-corded-ware
Detail of Fig. 1 from Allentoft et al. (2015): “Distribution of Early Bronze Age cultures Yamnaya, Corded Ware, and Afanasievo with arrows showing the Yamnaya expansions”.

And suddenly, we are now seeing more works that support the central thesis of the group – that Corded Ware must have brought Indo-European languages to Europe:

Recent publications by K-G Sjögren – from the same department as Kristiansen, at the University of Gothenburg – seem to imply that there was a direct connection Corded Ware -> Bell Beaker in central Europe.

Guus Kroonen‘s recent hypothesis of a potential (Proto-Semitic-like) Germanic substrate (2012) has been added recently to the cause, in supporting with Iversen (also from the University of Copenhaguen) a link with the Battle Axe/Funnelbeaker culture interaction. However, in the archaeological-linguistic model it seems that Germanic must predominate over the rest of Indo-European languages in terms of age, representing the first wave of Indo-Europeanization in Europe (wat?!), whereas Balto-Slavic is much younger and unrelated…? But didn’t they share the same substrate (as did partially Greek) in Kroonen (2012)? I think Kroonen’s hypothesis might be better explained through an earlier contact in the North Pontic steppe

kroonen-iversen
Modified from Kristiansen et al. (2017). “Schematic representation of how different Indo-European branches have absorbed words (circles) from a lost Neolithic language or language group (dark fill) in the reconstructed European linguistic setting of the third millennium BC, possibly involving one or more hunter gatherer languages (light fill) (after Kroonen & Iversen 2017)”.

Wrap-up

This recently created Danish pressure group is not something bad per se. I don’t agree with their hypothesis (or rather evolving hypotheses, since they change with new genetic results and linguistic proposals, as is shown in Kristiansen et al. 2017), but I understand that the group continues a recent tradition:

Publications are always great to advance in knowledge, and if they bring some deal of publicity, and more publications (with the always craved impact factor), and maybe more investment in the departments (with more local jobs and prestige)… why not?

However, this model of workgroup research system is reminiscent of the Anatolian homeland group loosely created around Renfrew; the Palaeolithic Continuity workgroup around Cavalli-Sforza; or (more recently) the Celtic from the West group around Cunliffe and Koch. The difference between Kristiansen’s workgroup and supporters of all those other models, in my opinion, is that (at least for the moment) their collaboration is not obvious to many.

Therefore, to be fair with any outsider, I think this group should clearly state their end model: I propose the general term “Indo-European Corded Ware Theory” (IECWT) workgroup, because ‘Danish’ is too narrow, and ‘Scandinavian’ too broad to represent the whole group. But any name will do.

My opinion on the IECWT

As you can see, no single strong proof exists in support of the IECWT:

  • Not for a solid model of PIE expansion from Corded Ware, not even within the IECWT group, where there is no support (to date) for a Balto-Slavic expansion associated with the Corded Ware culture… Or any other dialect, for that matter;
  • Not for a Corded Ware -> Bell Beaker connection – that is, before the publication of Allentoft et al. (2015) and articles reverberating their conclusions;
  • Not for a unified Pre-Germanic community before the Dagger Period, and still less linked with the expansion of the Corded Ware culture from the steppe – that connection is found only in Anthony (2007), where he links it with a cultural diffusion into Usatovo, which seems too late for a linguistic expansion with Corded Ware peoples, with the current genetic data.

The wrong interpretation of scarce initial ancient samples has been another feeble stone put over the ruins of Gimbutas’ theory. While her simple theory of Kurgan invaders was certainly a breakthrough in her time – when speaking about migrating Indo-European peoples was taboo -, it has since been overcome by more detailed archaeological and linguistic accounts of what happened in east and central Europe during the Chalcolithic and Bronze Age.

However, a lot of people are willing to consume post-truth genetic-based citebait like crazy, in a time when Twitter, Facebook, blogs, etc. seem to shape the general knowledge, while dozens of new, carefully prepared papers on Archaeology and Linguistics related to Indo-European peoples get published weekly and don’t attract any attention, just because they do not support these simplistic claims, or precisely because they fully reject them.

An older connection of Germanic to Scandinavia – and thus an ancestral Indo-European cultural diffusion from north to south – seems to better fit the traditional idea of an autochthonous Germanic homeland in Scandinavia, instead of a bunch of southern Bell Beaker invaders bringing the language that could only later develop as a common Nordic language during the Bronze Age, in a genetically-diverse community…

One is left to wonder whether the support of Corded Ware + haplogroup R1a representing Pre-Germanic is also in line with the most natural human Kossinnian trends, whereby the older your paternal line and your ancestral language are connected to your historical territory, the better. The lack of researchers from Norway – where R1b subclades brought by Bell Beakers peak – in the workgroup is revealing.

Just as we are seeing strong popular pressure e.g. to support the Out of India Theory by Hindu nationalists, or some Slavic people supporting to recreate a ‘Northern IE group’ with a Germano-Balto-Slavic Corded Ware culture – and a renewed interest in skin, hair and eye colour by amateur geneticists – , it is only natural to expect similar autochtonous-first trends in certain regions of the Germanic-speaking community.

NOTE: I feel a bit like an anti-IECWT hooligan here, and once again fulfilling Godwin’s Law. Judging by previous reactions in this blog to criticism of the Out of India Theory, and to criticism of R1a as the vector of expansion of Indo-European languages, this post is likely to cause some people to feel bad.

It is not intended to be against these researchers individually, though. All of them have certainly contributed in great ways to their fields, indeed more than I have to any field: Kristiansen is well-known for his careful, global interpretations of European prehistory (and has been supporting his model for quite a long time). I do like Kroonen’s ideas of a Pre-Germanic substratum. And people involved in the group do so probably because they collaborate closely with each other, and because of the huge pressure to publish in journals of high impact factor, so to mix their disparate research within a common model seems only natural.

But their collaboration is boosting certain wrong ideas, and is giving way to certain misconceptions in Linguistics, and also sadly renewed past ethnocentric views of language in Northern Europe – that will be luckily demonstrated, again, wrong. After all, publications (like ideas in general) are subjected to criticism, as mine are. Researchers who publish know their work is subjected to criticism, and not only before publication, but also – and probably more so – after it. That a paper can be incorrect, biased, or even completely absurd, does not mean the person who wrote it is a fool. That’s the difference between criticising ideas and insulting. If criticism offends you, you shouldn’t be publishing. Period.

Related:

Featured image: From Allentoft et al. (2015)“>Allentoft et al. (2015). See here for full caption.

mtDNA haplogroup frequency analysis from Verteba Cave supports a strong cultural frontier between farmers and hunter-gatherers in the North Pontic steppe

eneolithic-forest-zone

New preprint paper at BioRxiv, led by a Japanese researcher, with analysis of mtDNA of Trypillians from Verteba Cave, Analysis of ancient human mitochondrial DNA from Verteba Cave, Ukraine: insights into the origins and expansions of the Late Neolithic-Chalcolithic Cututeni-Tripolye Culture, by Wakabayashi et al. (2017).

Abstract:

Background: The Eneolithic (~5,500 yrBP) site of Verteba Cave in Western Ukraine contains the largest collection of human skeletal remains associated with the archaeological Cucuteni-Tripolye Culture. Their subsistence economy is based largely on agro-pastoralism and had some of the largest and most dense settlement sites during the Middle Neolithic in all of Europe. To help understand the evolutionary history of the Tripolye people, we performed mtDNA analyses on ancient human remains excavated from several chambers within the cave.

Results: Burials at Verteba Cave are largely commingled and secondary in nature. A total of 68 individual bone specimens were analyzed. Most of these specimens were found in association with well-defined Tripolye artifacts. We determined 28 mtDNA D-Loop (368 bp) sequences and defined 8 sequence types, belonging to haplogroups H, HV, W, K, and T. These results do not suggest continuity with local pre-Eneolithic peoples, but rather complete population replacement. We constructed maximum parsimonious networks from the data and generated population genetic statistics. Nucleotide diversity (π) is low among all sequence types and our network analysis indicates highly similar mtDNA sequence types for samples in chamber G3. Using different sample sizes due to the uncertainly in number of individuals (11, 28, or 15), we found Tajima’s D statistic to vary. When all sequence types are included (11 or 28), we do not find a trend for demographic expansion (negative but not significantly different from zero); however, when only samples from Site 7 (peak occupation) are included, we find a significantly negative value, indicative of demographic expansion.

Conclusions: Our results suggest individuals buried at Verteba Cave had overall low mtDNA diversity, most likely due to increased conflict among sedentary farmers and nomadic pastoralists to the East and North. Early Farmers tend to show demographic expansion. We find different signatures of demographic expansion for the Tripolye people that may be caused by existing population structure or the spatiotemporal nature of ancient data. Regardless, peoples of the Tripolye Culture are more closely related to early European farmers and lack genetic continuity with Mesolithic hunter-gatherers or pre-Eneolithic groups in Ukraine.

Genetic finds keep supporting the long-lasting cultural and linguistic frontier that Anthony (2007) – among others – asserted existed in the North-West Pontic steppe in the Mesolithic and Neolithic, between western steppe cultures and farmers, while it disproves Kristiansen’s theories of Sredni Stog expansion in Kurgan waves with a mixture of GAC and Trypillia within the Corded Ware culture:

Previous ancient DNA studies showed that hunter-gatherers before 6,500 yrBP in Europe commonly had haplogroups U, U4, U5, and H, whereas hunter-gatherers after 6,500 yrBP in Europe had less frequency of haplogroup H than before. Haplogroups T and K appeared in hunter-gatherers only after 6,500 yrBP, indicating a degree of admixture in some places between farmers and hunter-gatherers. Farmers before and after 6,500 yrBP in Europe had haplogroups W, HV*, H, T, K, and these are also found in individuals buried at Verteba Cave. Therefore, our data point to a common ancestry with early European farmers. Our data also suggest population replacement. Mathieson et al. analyzed a number of Neolithic Ukrainian samples (petrous bone) from several sites in southern, northern, and western Ukraine, dating to ~8,500 – 6,000 yrBP, and found exclusively U (U4 and U5) mtDNA lineages. It should be noted that ‘Neolithic’ in this context does not mean the adoption of agriculture, but rather simply coinciding with a change in material culture. They also analyzed several Trypillian individuals from Verteba Cave (different samples from the those included in this study). Similar to our findings, they found a wider diversity of mtDNA lineages, including H, HV, and T2b. These data, combined with our results, appear to confirm almost complete population replacement by individuals associated with the Tripolye Culture during the Middle to Late Neolithic.

The findings also hint to potential contacts of Yamna with Usatovo as predicted by Anthony (2007), or alternatively (lacking precise dates) to contacts with Corded Ware migrants:

Trypillians were very much a distinct people who most likely displaced 1 local hunter-gatherers with little admixture. Haplogroup W was also observed in several specimens deriving from Site G3. Although we are unsure if all of these haplogroups come from a single or multiple individuals, this observation is interesting in that it is relatively rare and isolated among Neolithic samples. It has, however, been found in samples dating to the Bronze Age. In the study by Wilde et al. [35], they found haplogroup W present in two samples from the Early Bronze Age associated with the Yamnaya and Usatovo cultures. The Usatovo culture (~ 3500 – 2500 BC) was found in Romania, Moldova, and southern Ukraine. It was the conglomeration of Tripolye and North Pontic steppe cultures. Therefore, this individual could link the Trypillian peoples to the Usatovo peoples and perhaps to the greater Yamnaya steppe migrations during the Bronze Age that lead to the Corded Ware Culture.

On the other hand, an article written in terms of mtDNA haplogroup frequencies seems to offer too little proof of anything today. The lack of Y-DNA haplogroups and data on admixture makes their interpretations provisional, subject to change when these further data are published. Also, radiocarbon dating is only confident for individuals of one site (site 7), dated ca. 5,500 cal BP, while “other chambers in the cave are not as confidently dated”…

verteba-cave-mtDNA
“Based on the 8 sequence types of the mtDNA D-loop, a maximum parsimonious phylogenetic network was constructed. Circles represent the sequence types, and the size of the circle is proportional to the number of samples. Numbers on the branches between the circles are nucleotide position numbers (+16,000) of the human mitochondrial genome sequence (rCRS). Information about the location (chamber within the cave) where the specimen was excavated is also provided. Areas 2 and 17 are part of Site 7, and these are defined as a separate chamber, although they are located in close proximity within Site 7. The other chambers, Site 20, G2, and G3, are independent and separate locations within the cave. ‘Undefined’ chamber describes an unknown location within the cave. Specimens from each chamber showed deviation for the sequence type distribution observed in the sample set. For example, specimens excavated from Site 7 had five unique sequence types, (I, II, III, IV, and VIII), while specimens excavated from chamber G 21 had mainly one sequence type (V)”. Made available by the authors under a CC-BY-NC-ND 4.0 International license.

We had also seen signs of conflict between Trypillian and steppe cultures in a recent article, Violence at Verteba Cave, Ukraine: New Insights into the Late Neolithic Intergroup Conflict, by Madden et al. (2017):

Many researchers have pointed to the huge “megasites” and construction of fortifications as evidence of intergroup hostilities among the Late Neolithic Tripolye archaeological culture. However, to date, very few skeletal remains have been analyzed for the types of traumatic injury that serve as direct evidence for violent conflict. In this study, we examine trauma on human remains from the Tripolye site of Verteba Cave in western Ukraine. The remains of 36 individuals, including 25 crania, were buried in the gypsum cave as secondary interments. The frequency of cranial trauma is 30-44% among the 25 crania, six males, four females and one adult of indeterminate sex displayed cranial trauma. Of the 18 total fractures, 10 were significantly large and penetrating suggesting lethal force. Over half of the trauma is located on the posterior aspect of the crania, suggesting the victims were attacked from behind. Sixteen of the fractures observed were perimortem and two were antemortem. The distribution and characteristics of the fractures suggest that some of the Tripolye individuals buried at Verteba Cave were victims of a lethal surprise attack. Resources were limited due to population growth and migration, leading to conflict over resource access. It is hypothesized that during this time of change burial in this cave aided in development of identity and ownership of the local territory.

Related:

Correlation does not mean causation: the damage of the ‘Yamnaya ancestral component’, and the ‘Future American’ hypothesis

New Ukraine Eneolithic sample from late Sredni Stog, near homeland of the Corded Ware culture

The concept of “outlier” in studies of Human Ancestry, and the Corded Ware outlier from Esperstedt

Marija Gimbutas and the expansion of the “Kurgan people” based on tumulus-building cultures

The Tollense Valley battlefield: the North European ‘Trojan war’ that hints to western Balto-Slavic origins

bronze-age-tollense-battle

It was reported long ago that genetic studies were being made on remains of a surprisingly big battle that happened in the Tollense valley in north-eastern Germany, at the confluence between Nordic, Tumulus/Urnfield, and Proto-Lusatian/Lusatian territories, ca. 1200 BC.

At least 130 bodies and 5 horses have been identified from the bones found. Taking into account that this is a small percentage of the potential battlefield, around 750 bodies are expected to be buried in the riverbank, so an estimated 4,000-strong army fought there, accounting for one in five participants killed and left on the battlefield.

Tollense riverbank
The river Tollense near the village Weltzin in the district Demmin (Mecklenburg-Vorpommern, Germany). From Wikipedia

Body armour, shields, helmet, and corselet used may have needed training and specialised groups of warriors, with their organisation being a display of military force. According to Kristiansen , this battle is therefore unlike any other known conflict of this period north of the Alps – circumscribed to raids by small groups of young men –, and may have heralded a radical change in the north, from individual farmsteads and a low population density to heavily fortified settlements.

The Urnfield culture (ca. 1300-750 BC) is associated with the rise of a new warrior elite, and the formation of new farming settlements and their urnfields. In some areas there is continuity from Tumulus to Urnfield culture, with narrowing and concentration of settlements along the river valleys, but there is also wide-ranging migrations. These migrations are similar to those seen later in the La Tène culture. This period is also coincident with the time of the mythical battle of Troy, with the collapse of the Mycenaean civilisation, and with the raids of Sea People in Egypt, and the marauders of the Hittites.

bronze-age-tollense
Diachronic map of migrations in Europe ca. 1250-750 BC, with the site of the Tollense valley marked.

Chemical traces already suggested that warriors fighting in Tollense came from far away, with only a few showing values typical of the northern European plain. A recently published PhD dissertation, Addressing challenges of ancient DNA sequence data obtained with next generation methods, by Christian Sell (2017) has not confirmed this:

The majority of sampled individuals fall within the variation of contemporary northern central European samples (including Nordic Late Neolithic and Bronze Age and Únětice samples); however, there are also some outliers closer to Neolithic LBK and modern Basques, suggesting that central and western European cultures were still at that time closely interconnected, continuing thus the connections created during the Bell Beaker expansion a thousand years earlier. The genetic similarity of most samples to modern western Slavic populations (as well as Austrians and Scots) gives support to the origin of Balto-Slavic in Bronze Age north-central Europe, and more specifically in the Lusatian culture.

tollense-welzin
PCA of samples from Tollense Valley battlefield. Welzin samples cluster closely to East German and Polish samples.

The Indo-European demic diffusion model supports the origin of Pre-Balto-Slavic in north-central Europe, with Únětice and Mierzanowice/Nitra groups as its potential homeland, from a common North-West Indo-European parent language (expanded through East Bell Beaker). Proto-Lusatian is therefore the best candidate for its initial development, and Lusatian for its eastern expansion, before its separation into its two main dialects (or maybe three, if Baltic is to be divided in two branches).

In fact, scarce aDNA from late Urnfield populations from its north-eastern territories, in Saxony – near the Lusatian culture –, already show a mixture of lineages, which suggest genetic continuity with older cultures (or more likely a resurge) after the Bell Beaker expansions: R1a1a1b1a-Z282 lineage was found in Halberstadt (ca. 1085 BC), and of the eight males studied from the Lichtenstein cave (ca. 1000 BC), five were of haplogroup I2a2b-L38, two of haplogroup R1a1-M459, and one of haplogroup R1b-M343.

Regarding modern populations, the eastern and western peaks in R1a1a1b1a1-M458 lineages might support a west-east migration, as well as an east-west migration, and indeed both in different periods, which is expected to be found if Lusatian is linked to the initial eastward expansion of Balto-Slavic during the Bronze and Iron Ages, and later younger subclades are linked to the West Slavic expansion to the west during Antiquity.

R-M458_frequency_distribution
Map rendered in pseudocolours for R-M458 frequencies, data derived from Underhill et al. (2014). Positions of boundaries (NE,NW,C,etc) are approximate. Variation of N and S. Caucasus region of Russia rendered as stripes showing range of variation in the region. From Wikipedia.

Now, if this is so, then we have to accept that these territories of north-central Europe (between East Germany and Poland), occupied earlier by Corded Ware cultures, adopted Balto-Slavic only after the Bell Beaker expansion; therefore, models arguing for Balto-Slavic origins in east European late Corded Ware groups (or heir cultures), like Trzciniec, Chornoles, Bilozerska, or Milograd (see e.g. the article on Wikipedia) have to be rejected. We also know that Pre-Germanic could have only formed in the Nordic Late Neolithic, after the cultural unification of the Dagger Period, heraled by the arrival of Bell Beakers; and that Indo-Iranian was the language of the Sintashta-Petrovka culture, which had absorbed the previous (Yamna-related) Poltavka culture.

chalcolithic-bell-beaker-europe
Diachronic map of Late Copper Age migrations including Classical Bell Beaker (east group) expansion from central Europe ca. 2600-2250 BC

But, if Indo-European was only spoken at both ends of territories previously occupied by Corded Ware cultures – stretching from Scandinavia to the Urals, including the Baltic region… what language did Corded Ware peoples actually speak? The most likely one? Uralic, indeed.

Related:

Why we shouldn’t care about the fixation of Neo-Nazis with the Middle Ages

People are obsessed with what racists, white supremacists, Neo-Nazis, etc. use to cover their ignorance, to hide their lack of political or social arguments, and to boost their pathologically low self-confidence. Now it seems to be the Middle Ages.

Some time ago I already read about this new trend, but I didn’t care. For me, as a supporter of a revival of Indo-European as a modern language, it was a relief that their fixation was somewhere different than Indo-Europeans.

The usual false syllogism for Indo-European questions goes Right populists support the supremacy of Aryans, ergo supporting the existence of expansions/language/social customs/etc. of Indo-Europeans means supporting Aryan supremacy. You can see the immediate association by the general population of Indo-European matters with Aryan supremacy by looking for information on Indo-European + white supremacy/Aryans/nazism, etc. on the Internet.

If you do that search, you might read a lot of right populist crap using Indo-European matters to support their ideas. You might even begin to associate one with the other, because it seems as if research on Indo-European questions somehow boosted those extremist ideals, right? If you think that, you are obviously part of the problem.

Apart from Aryans, Nazis have had fixations with ancient symbols (like the Swastika or Celtic symbolism), neo-paganism, the Roman Empire, the western European ‘heir empires of Rome’ that ensued, Catholicism, Germanic peoples, Romans, Greeks, Slavs, whiteness, blondness, Neanderthals…

And all of this has come at a cost for anyone involved or interested in any of those themes. It is only natural that Nazis evolve; just like shit decays, they move on. However,their interest about medieval times is not new (as is clear from the featured image of this post, and other propaganda from the time); it is just stronger now.

Now I see some medieval scholars complaining, in Twitter and in the news, calling for all to do something to protect the field of Medieval Studies.

But why? Why should we care about those who will regard medieval historians as tainted with Nazism? About you being called a Nazi, about people tacitly suggesting that you support their ideas? What have you done to protect Indo-Europeanists from the accusations, from the name-calling, from the shame?

Perhaps more importantly: now that you have become aware of this problem for the study of the western Middle Ages… What have you planned to do to help Indo-European studies once you are free from that yoke, that presumption of guilt? Probably nothing, you just care about yourselves. We all do.

I think it might be actually beneficial for Academia if more scholars suffer the same discrimination, if Nazis keep widening their areas of interest, so that we can all just ignore a simplistic and overused Nazi-shaming by stupid critics.

I don’t recall anyone defending Indo-Europeanists from those playing the Nazi card. The most recent example I know is the discussion around Lazaridis et al. (2017) paper, on Minoans and Mycenaeans. Some outrage from those involved in Human Evolutionary Biology (read the comments), but not too much from the rest of the world; too much concern this year about poor medievalists to care, I suppose.

You might not remember the infinite other times when you didn’t care about us being called Nazis because of our interest in (or writings about) our beloved academic field. But we do. And if you are complaining now, you certainly knew what was happening (what is happening), because how else could you know what this new love of right populists means for Medieval History, the shit it will bring?

Now your turn has come to enjoy the populace’s unending ad Nazium arguments. Publish anything about the social life in the Mediaevum, about medieval wars, religion, peoples, languages, symbols, etc., and just about anything that does not follow perfect political correctness will get you publicly shamed. Publish anything remotely interesting, and populist sites will publicise and manipulate your words, and critics and journalists will destroy your work by using populists’ words to describe it, not yours.

But, really, you shouldn’t care about the automatic association of your field with Nazis, about the unending insults, about the tacit (and oftentimes also explicit) link they will make of your work with Nazi ideas.

Just take a look at Indo-European studies. Not many Nazis have felt inclined to study (this or any other subject) because of their historical fixation with Aryans, so fear not, they will not take over your scholarships. However, their fixation has been a great filter for our field, to get rid of the weak of the heart, of those who care too much about what other people think, of those who are not convinced that this is what they want to do.

It seems to me that Indo-European studies have fewer scholars than it should, compared to other (in my humble opinion less promising or interesting) subjects, but the community is strong. Not much fuck is given about political correctness when publishing theories and models on the spread of Indo-Europeans, on their myths and customs, on their language. ‘Patrilocality’, ‘violent conquest’, ‘migration of peoples’, ‘women exchange’, ‘slavery’, are common (otherwise unpopular) words to describe their history and evolution, their ancestry, and they are becoming popular to describe anthropological evolution in general. We are in a privileged position to observe reality, and also the stupid political correctness of many.

Also, you might find comfort when passing this moment of truth professionally and personally knowing that, in the future, another field – whose scholars don’t give a fuck now about your popular shaming – will be their love object, and you will be able to tell them what I am telling you now.

Welcome to the dark side!

(EDIT 9/SEP/2017) I just realized that most (tacit or explicit) Nazi-shaming come from people within the field, who are obviously the ones interested in what you write. It is without a doubt the easiest way to criticise the work of your peers, who won’t need to do their research and answer formally with careful investigation. So good luck with that too!