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“Like sugar in milk”: reconstructing the genetic history of the Parsi population

BACKGROUND: The Parsis are one of the smallest religious communities in the world. To understand the population structure and demographic history of this group in detail, we analyzed Indian and Pakistani Parsi populations using high-resolution genetic variation data on autosomal and uniparental loci...

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Autores principales: Chaubey, Gyaneshwer, Ayub, Qasim, Rai, Niraj, Prakash, Satya, Mushrif-Tripathy, Veena, Mezzavilla, Massimo, Pathak, Ajai Kumar, Tamang, Rakesh, Firasat, Sadaf, Reidla, Maere, Karmin, Monika, Rani, Deepa Selvi, Reddy, Alla G., Parik, Jüri, Metspalu, Ene, Rootsi, Siiri, Dalal, Kurush, Khaliq, Shagufta, Mehdi, Syed Qasim, Singh, Lalji, Metspalu, Mait, Kivisild, Toomas, Tyler-Smith, Chris, Villems, Richard, Thangaraj, Kumarasamy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470188/
https://www.ncbi.nlm.nih.gov/pubmed/28615043
http://dx.doi.org/10.1186/s13059-017-1244-9
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author Chaubey, Gyaneshwer
Ayub, Qasim
Rai, Niraj
Prakash, Satya
Mushrif-Tripathy, Veena
Mezzavilla, Massimo
Pathak, Ajai Kumar
Tamang, Rakesh
Firasat, Sadaf
Reidla, Maere
Karmin, Monika
Rani, Deepa Selvi
Reddy, Alla G.
Parik, Jüri
Metspalu, Ene
Rootsi, Siiri
Dalal, Kurush
Khaliq, Shagufta
Mehdi, Syed Qasim
Singh, Lalji
Metspalu, Mait
Kivisild, Toomas
Tyler-Smith, Chris
Villems, Richard
Thangaraj, Kumarasamy
author_facet Chaubey, Gyaneshwer
Ayub, Qasim
Rai, Niraj
Prakash, Satya
Mushrif-Tripathy, Veena
Mezzavilla, Massimo
Pathak, Ajai Kumar
Tamang, Rakesh
Firasat, Sadaf
Reidla, Maere
Karmin, Monika
Rani, Deepa Selvi
Reddy, Alla G.
Parik, Jüri
Metspalu, Ene
Rootsi, Siiri
Dalal, Kurush
Khaliq, Shagufta
Mehdi, Syed Qasim
Singh, Lalji
Metspalu, Mait
Kivisild, Toomas
Tyler-Smith, Chris
Villems, Richard
Thangaraj, Kumarasamy
author_sort Chaubey, Gyaneshwer
collection PubMed
description BACKGROUND: The Parsis are one of the smallest religious communities in the world. To understand the population structure and demographic history of this group in detail, we analyzed Indian and Pakistani Parsi populations using high-resolution genetic variation data on autosomal and uniparental loci (Y-chromosomal and mitochondrial DNA). Additionally, we also assayed mitochondrial DNA polymorphisms among ancient Parsi DNA samples excavated from Sanjan, in present day Gujarat, the place of their original settlement in India. RESULTS: Among present-day populations, the Parsis are genetically closest to Iranian and the Caucasus populations rather than their South Asian neighbors. They also share the highest number of haplotypes with present-day Iranians and we estimate that the admixture of the Parsis with Indian populations occurred ~1,200 years ago. Enriched homozygosity in the Parsi reflects their recent isolation and inbreeding. We also observed 48% South-Asian-specific mitochondrial lineages among the ancient samples, which might have resulted from the assimilation of local females during the initial settlement. Finally, we show that Parsis are genetically closer to Neolithic Iranians than to modern Iranians, who have witnessed a more recent wave of admixture from the Near East. CONCLUSIONS: Our results are consistent with the historically-recorded migration of the Parsi populations to South Asia in the 7th century and in agreement with their assimilation into the Indian sub-continent's population and cultural milieu "like sugar in milk". Moreover, in a wider context our results support a major demographic transition in West Asia due to the Islamic conquest. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1244-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-54701882017-06-19 “Like sugar in milk”: reconstructing the genetic history of the Parsi population Chaubey, Gyaneshwer Ayub, Qasim Rai, Niraj Prakash, Satya Mushrif-Tripathy, Veena Mezzavilla, Massimo Pathak, Ajai Kumar Tamang, Rakesh Firasat, Sadaf Reidla, Maere Karmin, Monika Rani, Deepa Selvi Reddy, Alla G. Parik, Jüri Metspalu, Ene Rootsi, Siiri Dalal, Kurush Khaliq, Shagufta Mehdi, Syed Qasim Singh, Lalji Metspalu, Mait Kivisild, Toomas Tyler-Smith, Chris Villems, Richard Thangaraj, Kumarasamy Genome Biol Research BACKGROUND: The Parsis are one of the smallest religious communities in the world. To understand the population structure and demographic history of this group in detail, we analyzed Indian and Pakistani Parsi populations using high-resolution genetic variation data on autosomal and uniparental loci (Y-chromosomal and mitochondrial DNA). Additionally, we also assayed mitochondrial DNA polymorphisms among ancient Parsi DNA samples excavated from Sanjan, in present day Gujarat, the place of their original settlement in India. RESULTS: Among present-day populations, the Parsis are genetically closest to Iranian and the Caucasus populations rather than their South Asian neighbors. They also share the highest number of haplotypes with present-day Iranians and we estimate that the admixture of the Parsis with Indian populations occurred ~1,200 years ago. Enriched homozygosity in the Parsi reflects their recent isolation and inbreeding. We also observed 48% South-Asian-specific mitochondrial lineages among the ancient samples, which might have resulted from the assimilation of local females during the initial settlement. Finally, we show that Parsis are genetically closer to Neolithic Iranians than to modern Iranians, who have witnessed a more recent wave of admixture from the Near East. CONCLUSIONS: Our results are consistent with the historically-recorded migration of the Parsi populations to South Asia in the 7th century and in agreement with their assimilation into the Indian sub-continent's population and cultural milieu "like sugar in milk". Moreover, in a wider context our results support a major demographic transition in West Asia due to the Islamic conquest. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1244-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-14 /pmc/articles/PMC5470188/ /pubmed/28615043 http://dx.doi.org/10.1186/s13059-017-1244-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Chaubey, Gyaneshwer
Ayub, Qasim
Rai, Niraj
Prakash, Satya
Mushrif-Tripathy, Veena
Mezzavilla, Massimo
Pathak, Ajai Kumar
Tamang, Rakesh
Firasat, Sadaf
Reidla, Maere
Karmin, Monika
Rani, Deepa Selvi
Reddy, Alla G.
Parik, Jüri
Metspalu, Ene
Rootsi, Siiri
Dalal, Kurush
Khaliq, Shagufta
Mehdi, Syed Qasim
Singh, Lalji
Metspalu, Mait
Kivisild, Toomas
Tyler-Smith, Chris
Villems, Richard
Thangaraj, Kumarasamy
“Like sugar in milk”: reconstructing the genetic history of the Parsi population
title “Like sugar in milk”: reconstructing the genetic history of the Parsi population
title_full “Like sugar in milk”: reconstructing the genetic history of the Parsi population
title_fullStr “Like sugar in milk”: reconstructing the genetic history of the Parsi population
title_full_unstemmed “Like sugar in milk”: reconstructing the genetic history of the Parsi population
title_short “Like sugar in milk”: reconstructing the genetic history of the Parsi population
title_sort “like sugar in milk”: reconstructing the genetic history of the parsi population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470188/
https://www.ncbi.nlm.nih.gov/pubmed/28615043
http://dx.doi.org/10.1186/s13059-017-1244-9
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