I’ve looked at a few West Bengal Kayasthas myself, and that’s what I always see. When I look at individuals from Bangladesh, the ones with the most East Asian ancestry are invariably from the furthest east. So it looks like going from eastern Bengal to western Bengal there is progressively less East Asian ancestry. And, unlike Bengali Brahmins, Bengali Kayasthas do not seem to be that different from generic Bengalis as such. In contrast, Bengali Brahmins tend to have a strong shift toward Uttar Pradesh populations and look very similar to Uttar Pradesh Brahmins with a minority non-Brahmin Bengali admixture.
Finally, take a look at the Y and mtDNA. Though R1a is overrepresented, one of the Kayasthas has both male and female East Asian uniparental lineages.
One of the things that is evident in the most recent work on Indian genetics is that some groups, often Brahmin, are enriched for “steppe” ancestry when looking at overall contributions of proximal ancestral components. But, there are other groups that are enriched for “Indus Periphery” ancestry. The plot above takes Indus Periphery on the x-axis, and steppe on the y-axis. You can see that Brahmins are above the main trend, but groups like “Panta Kapu” are below (click the image).
These trends can be hard to spot because of the complexity of the Indian genomic landscape, where geography is not entirely predictive. What explains them?
I outlined my general model in a blog post, The Aryan Integration Theory (AIT). In short, unlike Northern Europe, and like Southern Europe, pre-Indo-European cultural matrices have maintained some robustness in the face of agro-pastoralist intrusion. The persistence of linguistic isolates in the far northwest in the form of Burusho is indicative of this. But also the persistence of the Dravidian language family, which has pre-Aryan roots. The enrichment of “Indus Periphery” ancestry in groups in the west and south, in particular, as well as a Dravidian substrate in toponyms in Gujarat and Maharashtra, and the relative lack of such features in the Gangetic plain, point to the reality that Dravidian speaking peoples are not primal, but their current range is partially reflective of the human geography in the wake of the Indo-Aryan shock on the decaying IVC.
As some of you may know 23andMe updated its South Asian ancestry panel. On the whole, I’ll give it a thumbs up, but, you need to be aware of the way they’re framing things. For example, pretty much every Bangladeshi has more “Bengali” ancestry than people from West Bengal.
The profile above on the left is mine. On the right is a friend whose background is West Bengali, of the Kayastha caste. Basically, 23andMe seems to be taking the East Asian enriched ancestry of Bangladeshi Bengalis as more diagnostic of being Bengali.
Now, compare me to a Bengali Brahmin (on the right):
So in all likelihood, Tagore’s ancestry composition would result in not so much “Bengali”….
Next, we developed a novel method for estimating the genome-wide average divergence time between a single individual and a focal group. This method focuses on extremely rare variants, which should be the most informative about very recent demographic events, and is robust to demographic events affecting the particular individual studied. We focused this work on samples from Birbhum district, West Bengal due to the presence of additional metadata on caste and religion. We used 704 general-caste individuals from Birbhum as the focal group, and estimated divergence times for all other individuals. Mean divergence times ranged from ~2,600 years for the Santal, an Austro-Asiatic language speaking tribal group, to 850 years for “scheduled castes” (i.e., Dalits), 625 years for Bangladeshis and 225 years for “Other Backward Castes” (OBC) individuals. The recent divergence times for OBC individuals confirms that this category is more of a political construct than a long-lived social grouping, while the other divergence times suggest a substantial amount of gene flow between groups. Finally, we extended our approach to thousands of other genomes from around the world. We show how patterns of rare variation can be used to detect asymmetrical migration, and document evidence for more migration from East Asia into Bengal than the converse.
A reader pointing me to a paper whose hypothesis is novel to me. But, I have to say that reading the paper, I am now convinced this is highly likely. The paper is The Munda Maritime Hypothesis:
On the basis of historical linguistic and language geographic evidence, the authors advance the novel hypothesis that the Munda languages originated on the east coast of India after their Austroasiatic precursor arrived via a maritime route from Southeast Asia, 3,500 to 4,000 years ago. Based on the linguistic evidence, we argue that pre-Proto-Munda arose in Mainland Southeast Asia after the spread of rice agriculture in the late Neolithic period, sometime after 4,500 years ago. A small Austroasiatic population then brought pre-Proto-Munda by means of a maritime route across the Bay of Bengal to the Mahanadi Delta region – an important hub location for maritime trade in historic and pre-historic times. The interaction with a local South Asian population gave rise to proto-Munda and the Munda branch of Austroasiatic. The Maritime Hypothesis accounts for the linguistic evidence better than other scenarios such as an Indian origin of Austroasiatic or a migration from Southeast Asia through the Brahmaputra basin. The available evidence from archaeology and genetics further supports the hypothesis of a small founder population of Austroasiatic speakers arriving in Odisha from Southeast Asia before the Aryan conquest in the Iron-Age.
For me, the Brahmaputra migration always implied that Bangladeshis should have lots of Munda ancestry. And yet that is not clear from genetics (though a few individuals are shifted in that direction). In contrast, they do have a strong affinity to the Khasi. This paper proposes that the Khasi are quite distinct from the Munda.
Rather, the Munda are placed further south, and their arrival in South Asia was through maritime means. One of the possibilities suggested is a relation to the Aslian subgroup of Austro-Asiatic languages in central Malaysia. This could actually help explain the enrichment for AASI in the Munda: the indigenous Negritos of Malaysia are similar to the people of the Andaman islands!
Remember, the arrival of Austro-Asiatic farmers in northern Vietnam dates to ~4,000 years ago. The Munda could be relative latecomers to South Asia…
One of the things that I’ve always been curious about is why some Indian populations are not fairer in complexion if they had so much steppe. The logic here is that the “most steppe population” are peoples such as the Lithuanians, and these are very fair-skinned groups. If, for example, North Indian Brahmins were ~30% steppe, and these steppe people looked like Lithuanians, wouldn’t we see more blondes in northern India?
I’ve posted on this before, but after today’s conversation with Vagheesh, I checked the data on his Sintashta samples on the Hiris-Plex pigmentation panel. Pigmentation prediction in ancient populations are pretty sketchy…but the Sintashta are actually not that different from many modern Northeast Europeans.
Spot-checking some major loci where Europeans are very distinct, such as KITLG, OCA2-HERC2, and SLC45A2, it is clear to me that the Sintashta were much more darkly complected than modern Northern Europeans.
To give a concrete example, rs16891982 in SLC45A2 is at 2% minor allele frequency in British 1000 Genomes samples (3% in Tuscans, 18% in Spaniards). The minor allele frequency is 12.5% in 64 Sintashta chromosomes.
The derived SNP associated with blonde hair in Northern Europeans, and found at about 20% frequency in those populations, was found in none of the 32 calls where that position was returned.
I doubt the Sintashta were very dark. Rather, their pigmentation was probably more in the range of Southern Europeans like Sardinians if I had to bet.
(one of the implications here is that the results which indicate strong selection for lighter complexion in Northern Europeans into historical times are probably detecting something real)
AHG_related, a group distantly related to modern Andamanese
Indus_Periphery_Pool_related, a group that is roughly equivalent to the IVC population variation
Central_Steppe_MLBA_related, which indicates affinity to populations such as the Sintashta and Andronovo pastoralists
One of the things that people are doing is looking at “Central_Steppe_MLBA_related” as proxy-for Indo-Aryans. This is not totally wrong…but it is misleading. This fraction to me is indicative of the floor of the contribution of Indo-Aryans into modern Indians. Let me quote from the paper:
We next characterized the 2000 BCE Steppe Cline, represented in our analysis by 117 individuals dating to 1400 BCE – 1700 CE from the Swat and Chitral districts of northernmost South Asia (Fig. 2, Fig. 4). We found that we could jointly model all individuals on the Steppe Cline as a mixture of two sources albeit different from the two sources in the earlier cline. One end is consistent with a point along the Indus Periphery Cline. The other end is consistent with a mixture of about 41% Central_Steppe_MLBA ancestry and 59% from a subgroup of the Indus Periphery Cline with relatively high Iranian farmer-related ancestry ((13), Fig S50).
It seems very likely that a substantial proportion of the ancestry of the Indo-Aryans when they entered Punjab was already mixed with “Iranian-related” ancestry from further north and west. In the table below 13% of the Patel ancestry is from Central_Steppe_MLBA. All of this is from “Indo-Aryans,” but I assume some of the 60% Indus_Periphery_Pool is probably from Indo-Aryans as well.
Doing some data analysis for my data job. Looking at the data sets some interesting patterns. I will explore further time permitting, but it looks to me that the Bengalis are on the Khasi/Tibeto-Burman cline, not the Munda cline. Basically, Bangladeshis are the inverse of the Khasi people to their north. After seeing these results I read a bit more on the Khasis, and it’s fascinating to see how some of them look like my relatives in their facial features.
(the Iranians are sampled mostly from the west of the country, explaining their separation from Pakistani samples, which include Pathans)
The podcast from last fall on Indian genetics is probably worth listening to, as you’ll be hearing more about the topic shortly…