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Research Publication

Novel insights on demographic history of tribal and caste groups from West Maharashtra (India) using genome-wide data.

Debortoli Guilherme, G Abbatangelo, Cristina C et al.

32572090 PubMed ID
12 Authors
2020-06-22 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

DG
Debortoli Guilherme
GA
G Abbatangelo
CC
Cristina C
CF
Ceballos Francisco
FF
F Fortes-Lima
CC
Cesar C
NH
Norton Heather L
HO
HL Ozarkar
SS
Shantanu S
PE
Parra Esteban J
EJ
EJ Jonnalagadda
MM
Manjari M
Chapter II

Abstract

Summary of the research findings

The South Asian subcontinent is characterized by a complex history of human migrations and population interactions. In this study, we used genome-wide data to provide novel insights on the demographic history and population relationships of six Indo-European populations from the Indian State of West Maharashtra. The samples correspond to two castes (Deshastha Brahmins and Kunbi Marathas) and four tribal groups (Kokana, Warli, Bhil and Pawara). We show that tribal groups have had much smaller effective population sizes than castes, and that genetic drift has had a higher impact in tribal populations. We also show clear affinities between the Bhil and Pawara tribes, and to a lesser extent, between the Warli and Kokana tribes. Our comparisons with available modern and ancient DNA datasets from South Asia indicate that the Brahmin caste has higher Ancient Iranian and Steppe pastoralist contributions than the Kunbi Marathas caste. Additionally, in contrast to the two castes, tribal groups have very high Ancient Ancestral South Indian (AASI) contributions. Indo-European tribal groups tend to have higher Steppe contributions than Dravidian tribal groups, providing further support for the hypothesis that Steppe pastoralists were the source of Indo-European languages in South Asia, as well as Europe.

Chapter III

Analysis

Comprehensive review of ancestry and genetic findings

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Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context

Scientific Assessment