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Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis

In 2014, 157 years after the Sepoy Mutiny of 1857, several unidentified human skeletons were discovered in an abandoned well at Ajnala, Punjab. The most prevailing hypothesis suggested them as Indian soldiers who mutinied during the Indian uprising of 1857. However, there is an intense debate on the...

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Autores principales: Sehrawat, J.S., Agrawal, Shailesh, Sankhyan, Deeksha, Singh, Monika, Kumar, Sachin, Prakash, Satya, Rajpal, Richa, Chaubey, Gyaneshwer, Thangaraj, Kumarasamy, Rai, Niraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095824/
https://www.ncbi.nlm.nih.gov/pubmed/35571044
http://dx.doi.org/10.3389/fgene.2022.813934
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author Sehrawat, J.S.
Agrawal, Shailesh
Sankhyan, Deeksha
Singh, Monika
Kumar, Sachin
Prakash, Satya
Rajpal, Richa
Chaubey, Gyaneshwer
Thangaraj, Kumarasamy
Rai, Niraj
author_facet Sehrawat, J.S.
Agrawal, Shailesh
Sankhyan, Deeksha
Singh, Monika
Kumar, Sachin
Prakash, Satya
Rajpal, Richa
Chaubey, Gyaneshwer
Thangaraj, Kumarasamy
Rai, Niraj
author_sort Sehrawat, J.S.
collection PubMed
description In 2014, 157 years after the Sepoy Mutiny of 1857, several unidentified human skeletons were discovered in an abandoned well at Ajnala, Punjab. The most prevailing hypothesis suggested them as Indian soldiers who mutinied during the Indian uprising of 1857. However, there is an intense debate on their geographic affinity. Therefore, to pinpoint their area of origin, we have successfully isolated DNA from cementum-rich material of 50 good-quality random teeth samples and analyzed mtDNA haplogroups. In addition to that, we analyzed 85 individuals for oxygen isotopes (δ(18)O values). The mtDNA haplogroup distribution and clustering pattern rejected the local ancestry and indicated their genetic link with the populations living east of Punjab. In addition, the oxygen isotope analysis (δ(18)O values) from archaeological skeletal remains corroborated the molecular data and suggested the closest possible geographical affinity of these skeletal remains toward the eastern part of India, largely covering the Gangetic plain region. The data generated from this study are expected to expand our understanding of the ancestry and population affinity of martyr soldiers.
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spelling pubmed-90958242022-05-13 Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis Sehrawat, J.S. Agrawal, Shailesh Sankhyan, Deeksha Singh, Monika Kumar, Sachin Prakash, Satya Rajpal, Richa Chaubey, Gyaneshwer Thangaraj, Kumarasamy Rai, Niraj Front Genet Genetics In 2014, 157 years after the Sepoy Mutiny of 1857, several unidentified human skeletons were discovered in an abandoned well at Ajnala, Punjab. The most prevailing hypothesis suggested them as Indian soldiers who mutinied during the Indian uprising of 1857. However, there is an intense debate on their geographic affinity. Therefore, to pinpoint their area of origin, we have successfully isolated DNA from cementum-rich material of 50 good-quality random teeth samples and analyzed mtDNA haplogroups. In addition to that, we analyzed 85 individuals for oxygen isotopes (δ(18)O values). The mtDNA haplogroup distribution and clustering pattern rejected the local ancestry and indicated their genetic link with the populations living east of Punjab. In addition, the oxygen isotope analysis (δ(18)O values) from archaeological skeletal remains corroborated the molecular data and suggested the closest possible geographical affinity of these skeletal remains toward the eastern part of India, largely covering the Gangetic plain region. The data generated from this study are expected to expand our understanding of the ancestry and population affinity of martyr soldiers. Frontiers Media S.A. 2022-04-28 /pmc/articles/PMC9095824/ /pubmed/35571044 http://dx.doi.org/10.3389/fgene.2022.813934 Text en Copyright © 2022 Sehrawat, Agrawal, Sankhyan, Singh, Kumar, Prakash, Rajpal, Chaubey, Thangaraj and Rai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Sehrawat, J.S.
Agrawal, Shailesh
Sankhyan, Deeksha
Singh, Monika
Kumar, Sachin
Prakash, Satya
Rajpal, Richa
Chaubey, Gyaneshwer
Thangaraj, Kumarasamy
Rai, Niraj
Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis
title Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis
title_full Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis
title_fullStr Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis
title_full_unstemmed Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis
title_short Pinpointing the Geographic Origin of 165-Year-Old Human Skeletal Remains Found in Punjab, India: Evidence From Mitochondrial DNA and Stable Isotope Analysis
title_sort pinpointing the geographic origin of 165-year-old human skeletal remains found in punjab, india: evidence from mitochondrial dna and stable isotope analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095824/
https://www.ncbi.nlm.nih.gov/pubmed/35571044
http://dx.doi.org/10.3389/fgene.2022.813934
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