| Title |
West Eurasian mtDNA lineages in India: an insight into the spread of the Dravidian language and the origins of the caste system
|
|---|---|
| Published in |
Human Genetics, April 2015
|
| DOI | 10.1007/s00439-015-1547-4 |
| Pubmed ID | |
| Authors |
Malliya Gounder Palanichamy, Bikash Mitra, Cai-Ling Zhang, Monojit Debnath, Gui-Mei Li, Hua-Wei Wang, Suraksha Agrawal, Tapas Kumar Chaudhuri, Ya-Ping Zhang |
| Abstract |
There is no indication from the previous mtDNA studies that west Eurasian-specific subclades have evolved within India and played a role in the spread of languages and the origins of the caste system. To address these issues, we have screened 14,198 individuals (4208 from this study) and analyzed 112 mitogenomes (41 new sequences) to trace west Eurasian maternal ancestry. This has led to the identification of two autochthonous subhaplogroups-HV14a1 and U1a1a4, which are likely to have originated in the Dravidian-speaking populations approximately 10.5-17.9 thousand years ago (kya). The carriers of these maternal lineages might have settled in South India during the time of the spread of the Dravidian language. In addition to this, we have identified several subsets of autochthonous U7 lineages, including U7a1, U7a2b, U7a3, U7a6, U7a7, and U7c, which seem to have originated particularly in the higher-ranked caste populations in relatively recent times (2.6-8.0 kya with an average of 5.7 kya). These lineages have provided crucial clues to the differentiation of the caste system that has occurred during the recent past and possibly, this might have been influenced by the Indo-Aryan migration. The remaining west Eurasian lineages observed in the higher-ranked caste groups, like the Brahmins, were found to cluster with populations who possibly arrived from west Asia during more recent times. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 28% |
| Student > Master | 7 | 14% |
| Professor | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 30% |
| Agricultural and Biological Sciences | 7 | 14% |
| Social Sciences | 2 | 4% |
| Arts and Humanities | 2 | 4% |
| Linguistics | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 17 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2023.
All research outputs
#1,817,684
of 24,151,461 outputs
Outputs from Human Genetics
#140
of 3,036 outputs
Outputs of similar age
#23,907
of 267,789 outputs
Outputs of similar age from Human Genetics
#3
of 20 outputs
Altmetric has tracked 24,151,461 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,036 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.