Of Stone & Blood: The demography of the Megalithic expansions (work in progress)

One subject that has often been overlooked, is the genetic influence of the first megalith builders of Northern France. This location is meeting point between Danubian and Cardial Neolithic groups. Not only that, but also mixture with Mesolithic hunters of the region. This mixture can be seen quite clearly in the mtDNA (Rivollat et al, 2015; LeRoy et al, 2016). The one thing that is also questioned is just how much genetic impact did Megalithism have on the genetic make-up of Northern European farmers of the Middle and Late Neolithic. Is this a movement of people, or “monumental” ideas?


Since early times, the movement of farmers to Britain was seen as a movement from France, from Michelsberg, or related groups (Childe, 1931). To test this idea, I used datasets from Lipson et al, 2017; Olalde et al, 2018; and Mathieson et al, 2018) to look for a relationship using qpGraph.

Not only are the samples from Southern France and England alike, they are basically identical! Both are probably rooted in the Paris Basin, showing Danubian, Cardial, and Mesolithic roots. As  the link is shown below, in Le Roy et al (2016). Also, note the shift towards France, by later Central Farmers of the Middle to Late Neolithic.









Below, is the first graph, showing the genetic ties between England, and Southern France. Both are likely from the Paris Basin group.


D-stats showing France_MN and England_N as a clade

Out Test X Y D Z-score SNPs
Chimp Ust_Ishim France_MN England_N -0.000325 -1.052 890030
Chimp WHG France_MN England_N 0.000041 0.116 888629
Chimp Iberia_EN France_MN England_N -0.000248 -0.923 860108
Chimp LBKAustria France_MN England_N -0.000119 -0.469 887340
Chimp GermanMN France_MN England_N 0.000152 0.514 853634
Chimp Gokhem2 France_MN England_N -0.00022 -0.437 209487
Chimp MN_Iberia France_MN England_N -0.000539 -1.933 830076
Chimp GAC_Poland France_MN England_N 0.000002 0.007 694973
Chimp Czech_MN France_MN England_N -0.000167 -0.558 818848

Graph with England_N alone


German Middle Neolithic Funnelbeaker

This same set-up is the one I used to then find the relationship to later Megalith building cultures. The first one I chose to look at was the Funnelbeaker samples from Germany. The surprising thing from this graph is that the German Middle Neolithic samples (minus the Roessen sample) were almost exactly like the England and French Neolithic samples, with a slight bit more Danubian admixture.



Attempt to create TRB-Germany without admixture from French-related groups

The first graph, is just Germany_MN, uplaced, with the worst-Z being one that asks for Germany_MN and England_N to be closer.


The second graph forces Germany_MN to be attached to LBK


The worst-Z from this graph asks for WHG to be closer to Germany_MN. The following graph includes an edge from WHG to Germany_MN.


As a result of this graph, the worst-Z now asks for Germany_MN and Iberia_EN to be closer. Due to this, a migration edge from Iberia_EN is added to the next graph.


This last graph has many issues. Not only the zero drift edges, but a migration edge of 0% from Iberia to Germany and a worst-Z still not resolved. It seems that deviating from the desire to connect Germany_MN and England_N caused the poor outcome.

Iberian Middle Neolithic at La Mina

The second group that I looked at was the Middle Neolithic group from La Mina, in Northern Spain. Once again, the Middle Neolithic population was almost identical to the group with roots in France. Specifically, those that moved to Southern France.


Swedish Funnelbeaker

While Gokhem2 does not have as much coverage as I would like, I thought that they would also be good to check, to make sure they are also rooted in the same group. As suspected, she was also almost exactly like the English and French samples.



Globular Amphora in Poland

Since Globular Amphora is supposed to come out of the TRB group in Northern Germany, I thought that I would also take a look at them and see if they are also closely related to the farmers from France. They also turned out to have a great deal of their ancestry from this group.



So, the picture that is emerging is that at one time, groups from Iberia, to Britain, up to Scandinavia, and all the way to the steppes of Ukraine were rooted in the French Middle Neolithic.

D-stats suggestive of Cardial gene-flow

Out Test X Y D Z-score SNPs
Chimp England_N Iberia_EN LBKAustria -0.00065 -3.053 922319
Chimp France_MN Iberia_EN LBKAustria -0.00089 -3.519 877516
Chimp GermanMN Iberia_EN LBKAustria 0.000082 0.311 927867
Chimp Gokhem2 Iberia_EN LBKAustria 0.000096 0.253 232081
Chimp MN_Iberia Iberia_EN LBKAustria -0.001163 -4.727 888929
Chimp GAC Iberia_EN LBKAustria 0.000024 0.103 923159

African Asymmetry

Now, Chimp does have its shortfalls, such as the branch-shortening effect, and ancient attraction, but it is basically symmetrical in relationship to each of these samples. However, the same can not be said for Africans. That is the reason that I have not included them in these graphs. Now, with them, the graphs really don’t change, but you can have the need for edges from farmers to Africans. Farmers, specifically those from Europe, are much closer to basically all Africans, when put against ENA, hunter-gatherers, and more basal sources, such as Natufians.

This is reflected in graphs, and also D-stats. Now, how this is so is the big question. We may see farmer movement taking R1b-V88 and Iberian ancestry as far as South_Africa_2000BP, or something such as ascertainment bias. The fact that Malawi_Hora_Holocene_8100BP is also showing this is quite puzzling and leaning me more towards some kind of bias. The likelihood of a migration of something like a Dzudzuana to SE Africa that early could be possible, but without the actual sample, that is hard to test.

Out Test X Y D Z-Score SNPs
Chimp Mbuti_DG Iberia_EN LBK -0.000074 -0.522 982851
Chimp Mbuti_DG Iberia_EN Natufian -0.000816 -2.636 474711
Chimp Mbuti_DG Iberia_EN GanjDareh -0.000459 -1.691 787482
Chimp Mbuti_DG Iberia_EN IBM 0.000146 0.595 964435
Chimp Mbuti_DG Iberia_EN Van2900BP -0.000726 -2.156 432540
Chimp Mbuti_DG Iberia_EN Iron_Gates -0.000646 -3.658 983550
Chimp Mbuti_DG Iberia_EN EHG -0.00045 -1.947 943281
Chimp Mbuti_DG Iberia_EN SteppeEBA -0.000218 -1.259 981530
Chimp Mota Iberia_EN LBK -0.00013 -0.672 982461
Chimp Mota Iberia_EN Natufian -0.001552 -3.748 474581
Chimp Mota Iberia_EN GanjDareh -0.000572 -1.566 787235
Chimp Mota Iberia_EN IBM -0.000134 -0.4 964105
Chimp Mota Iberia_EN Van2900BP -0.000879 -1.906 432413
Chimp Mota Iberia_EN Iron_Gates -0.000761 -3.119 983154
Chimp Mota Iberia_EN EHG -0.0009 -2.745 942951
Chimp Mota Iberia_EN SteppeEBA -0.00039 -1.64 981147
Chimp S_A2000BP Iberia_EN LBK -0.000432 -2.587 931815
Chimp S_A2000BP Iberia_EN Natufian -0.000884 -2.562 455408
Chimp S_A2000BP Iberia_EN GanjDareh -0.000862 -2.975 750479
Chimp S_A2000BP Iberia_EN IBM -0.000536 -1.999 914899
Chimp S_A2000BP Iberia_EN Van2900BP -0.000479 -1.33 414977
Chimp S_A2000BP Iberia_EN Iron_Gates -0.00093 -4.843 932493
Chimp S_A2000BP Iberia_EN EHG -0.000834 -3.332 894713
Chimp S_A2000BP Iberia_EN Steppe_EBA -0.000556 -2.95 930610
Chimp Malawi_HH Iberia_EN LBK -0.000165 -0.79 575904
Chimp Malawi_HH Iberia_EN Natufian -0.000828 -1.801 320660
Chimp Malawi_HH Iberia_EN GanjDareh -0.000506 -1.312 505066
Chimp Malawi_HH Iberia_EN IBM -0.000526 -1.589 571516
Chimp Malawi_HH Iberia_EN Van2900BP -0.000141 -0.311 310516
Chimp Malawi_HH Iberia_EN Iron_Gates -0.000669 -2.642 576018
Chimp Malawi_HH Iberia_EN EHG -0.000607 -1.87 563496
Chimp Malawi_HH Iberia_EN SteppeEBA -0.000593 -2.408 575632
Chimp Yoruba Iberia_EN LBK -0.000133 -0.871 897516
Chimp Yoruba Iberia_EN Natufian -0.000948 -2.915 432020
Chimp Yoruba Iberia_EN GanjDareh -0.00057 -1.919 718598
Chimp Yoruba Iberia_EN IBM 0.001219 4.714 881191
Chimp Yoruba Iberia_EN Van2900BP -0.000978 -2.637 394707
Chimp Yoruba Iberia_EN Iron_Gates -0.000762 -4.026 898020
Chimp Yoruba Iberia_EN EHG -0.000876 -3.353 862918
Chimp Yoruba Iberia_EN SteppeEBA -0.000375 -1.995 896410

Testing with qpGraph also always resulted in gene-flow from a source like Iberia_EN, and sometimes also from Iberomaurusians (IBM). Mbuti is not bad, in that it is nearly perfectly aligned with Danubian and Cardial sources, the problem lies in the HG stats, where Mbuti does want to be closer to farmers than hunters, and the flow is always to Africa. Testing with flow both to and from Iberian farmers illustrates the same with all Africans in a tree. Here is a tree with South_Africa_2000BP as an example:




This asymmetry makes me wary of including them in analysis that includes both hunters and various types of farmers. I also feel adding too many more admixture edges will be distracting and admixture from Eurasians to Africans does need more ancient samples to resolve whether these are all legit or not.

Trying to create a graph without Chimp does lose a more neutral source for sorting out this farmer and hunter ancestry in Northern Europe, although it does seem minimal, judging by this basic tree involving England_N and France_MN. It seems the most affected is the actual Cardial ancestry in the samples. They become less Cardial than Danubian, in the tree not involving TRB samples, but actually are now closer to what they were with the other farmers involved in the tree.

However, moving onto Germany_MN, we see that Chimp would make the fit better, decreasing the worst Z that seems to want more Cardial influence to England_N.



Including Mbuti into the Analyses

As expected, adding an African to a graph, when they are not symmetrically related, created a graph that becomes overly complicated and does not match other statistical methods. This includes haplotype analysis of an Irish farmer that shared more ancestry with Cardial than Danubian farmers.


With this output, it seems safest to avoid using Africans in analysis that is Eurasian specific and stick to using Chimp as a more neutral outgroup. No African can be a purely symmetrical outgroup and can drastically affect the quality of the graph and qpAdm output.
With all of these results, it appears that not only is Funnelbeaker and Globular Amphora share a good amount of ideas regarding pottery and burial, but actual developed as a mix of Atlantic farmers, mixing with local farmer and hunter groups, adopting some of their culture and genes as well.
With the results from the graphs, D-stats, and also parental markers, it seems that it is quite probably that farmers from France are responsible for the spread of Megalithism. Not only do graphs prefer a closeness of farmers from France, England, and Germany, but there are new markers of “Western” origin in Germany Middle Neolithic farmers. This includes many shared Y-DNA markers, including I2a1b, and shared mtDNA that are not in Danubian farmers, such as U3, H3, H4, and others. Also notable, is the f3(England_N LBK_Austria Germany_MN -0.000433 -0.382 353272), suggesting gene-flow from France to Germany does work.
While more sampling across France will help, it does seem that there is a shared ancestry  between England, France, and Germany that has more to it than shared Danubian ancestry.
Gordon Childe, V. (1931). The Continental Affinities of British Neolithic Pottery. Archaeological Journal, 88(1), 37–66. doi:10.1080/00665983.1931.10853568

Melie Le Roy et al (2016)Distinct ancestries for similar funerary practices? A GIS analysiscomparing funerary, osteological and aDNA data from the Middle Neolithic necropolis Gurgy “Les Noisats” (Yonne, France) http://dx.doi.org/10.1016/j.jas.2016.07.003

Mark Lipson et al (2017) Parallel paleogenomic transects reveal complex genetic history of early European farmers. Nature volume 551, pages 368–372 (16 November 2017) https://www.nature.com/articles/nature24476#supplementary-information
Inigo Olalde et al (2018) The Beaker phenomenon and the genomic transformation of Northwest Europe. Nature volume 555, pages 190–196 (08 March 2018) https://www.nature.com/articles/nature25738
Maïté Rivollat et al., When the Waves of European Neolithization Met: First Paleogenetic Evidence from Early Farmers in the Southern Paris Basin. PLoS ONE 2015. Open accessLINK [doi:10.1371/journal.pone.0125521]
Nicole Sheridan (2013) Early Neolithic habitation structures in Britain and Ireland: A matter of circumstance and context. https://www.researchgate.net/publication/302214298_Early_Neolithic_Habitation_Structures_in_Britain_and_Ireland_a_Matter_of_Circumstance_and_Context

18 thoughts on “Of Stone & Blood: The demography of the Megalithic expansions (work in progress)”

  1. Chad, kudos. I remember debating this topic (Cardial vs Danubian in the megalithic sphere and shared ancestry across the megalithic sphere) with you before in the Eurogenes comments, where you were pretty adamant that the Globular Amphora Culture and Funnelbeaker was of solely Danubian inspiration, following archaeological evidence.

    (To be fair my arguments to the reverse did not exactly have strong evidence in favour – as I recall Davidski’s Global 25 and other PCA, haplotype chunk sharing in present day and ancient peoples, shared D-stat behaviour between all northern MN like populations relative to other samples, possibly others).

    So major props going back and being able to look at the evidence, reexamine assumptions and take a rigorous, formal look at the genetic evidence, carefully examine for possible inflators and biases in models, and revise your own ideas. Less people than we’d like can do that.


  2. Thanks, Matt! I think my contention was that Globe25 had GAC as mostly Iberia EN or MN. They do come out more Danubian, but yeah the Western thing is a surprise. Use of Africans had a bad effect too, as shown in the post. Lots of things may need to be looked at again.


  3. Thanks for the clarification, looking more carefully at your graphs I see what you mean. In retrospect, if I remember those conversations well, I possibly was not considering the full range of possibilities patterns of migration, and may have been overattached to mediating the genetic patterns through the idea of a specifically Cardial rooted migration both into and then *out* of Iberia, and that may have served to muddy the waters a little here.


  4. I’m wondering if the odd affinity between Euro farmers and SSA shown in the D-stats table could be a reflection of some Upper Paleolithic gene flow from Iberia into the ancestors of Iberomaurusians, followed by IBM admixture into SSA? As the incoming Anatolian farmers move into Europe they would’ve picked up some remnant UP hunter-gatherer ancestry as well (I know WHG wasn’t a straightforward continuation of a UP Euro HG group but they should have had some ancestry ultimately stemming from such a pop, right?), perhaps causing some excess sharing between European Neolithic and SSA by way of the IBM conduit.

    Also, the qpGraph with IBM below the aforementioned table is interesting, it has a sister branch of South African_HG leading directly to IBM. Prior to IBM, there was an apparently deep-rooted preceding culture in northwest Africa, the Aterian. In the original IBM paper, the authors found a signal of increased IBM affinity to east and south African HG pops to the exclusion of other Eurasians or Africans. I’m wondering if this graph is picking up on some admixture from an Aterian source into IBM.


  5. Great work Chad, This and further elaboration will be of great use for specialists and enthusiasts interested in meating out Neolithic dynamics. There’s a lot more to be discerned after the arrival of Anatolian pioneer farmers to Europe.


  6. Chad, not sure about the etiquette here re: external links, but can you take a look at this post I made on anthrogenica: https://anthrogenica.com/showthread.php?15415-Paleolithic-DNA-from-the-Caucasus-reveals-core-of-West-Eurasian-ancestry&p=497019&viewfull=1#post497019

    I know this i just playing w/nMonte not formal stats but I think I picked up something here that I’m sure you’ll test when the Dzudzuana genotype sample is available: modern North Africans’ “Neolithic farmer” affinity ISN’T by and large from the more proximate (spatially and temporally) Europe_N/Chl/BA farming cultures but the more distal Dzudzuana source. (My theory is that Pelopponese_N_outlier is the closest proxy we have to Dzudzuana becuz:
    a) it has more Villabruna affinity and less Basal Eurasian affinity relative to Anatolia_EN/Europe_EN, and
    b) it’s Villabruna-like ancestry probably came from a more ‘easterly’ variant than the “WHG” substrate found in European farmers….

    Dzudzuana should share these two distinguishing traits w/Pelopponese_outlier, relative to Europe_N/Chl/BA. The modern N African populations STRONGLY prefer a Dzudzuana-like source over Anatolia_N/Europe_N/Chl/BA type sources… this is telling us something IMO.

    To the point in your post, I DO think Dzudzuana-like ancestry was quite widespread from N Africa down to at least the Sahel as early as the late Paleolithic (even modern Saharawi accept 25% Dzudzuana-like ancestry on top of that found in Iberomarusians– that can’t all come from Cardial Europe??). From there, it’s not too far gone to posit a push deeper into Africa.

    As for why Iberomaursians don’t have “excess” Dzudzuana-related ancestry relative to modern N Africans, the northwestern pulse from Chalcolithic Iberia is plays a role but that’s accounted for separately and its less significant. The bigger reason reason Taforalt didn’t have excess Dzudzuana is b/c this ancestry infiltrated Africa in the Paleolithic from the NORTHEAST. This is consistent with the most “conservative” modern N African populations– Algerians, Mozabites, and Saharawi– scoring the highest peloponese_N_o and the most proximate pop to European farmers (Moroccans) scoring among the lowest. IOW, Pelopponese_N_o isn’t acting as a substitute for Iberian farmer ancestry, but as a substitute for the older Dzudzuana substrate.

    Can you comment on the possibly apocryphal accounts of a population approximating a Sardinian-San 50/50 mixture surviving into medieval times in N Africa ?!?!


  7. That Dzudzuana paper was interesting as well, the author’s main qpGraph appeared to show a Mota/African like population mixing into IBM. Chad, have you had any chance (or any interest) in trying to tease out some of the odd relationships between SSA, IBM, and Natufians lately?


  8. Chad, any ETA on a new post? Eurogenes is almost unreadable these days because of David’s pathological obsession with the immortal steppe and Indo-Europeans and Bell Beakers or whatever else. I appreciate your efforts to at least try to broaden the scope of discourse around population genetics, especially since it doesn’t seem like there are too many people out there getting in the weeds of this stuff with Admixtools (or whatever else) and doing their own analysis and investigations, outside of academia anyway…


    1. I will get to the new Caucasus paper later on. I have a new one on European farmers, with lots of new information. Europeans are much more mixed than I had noticed before. Much different from the story at Barcin.


Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s