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The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers

Patterns of genetic variation in human populations across the African continent are still not well studied in comparison with Eurasia and America, despite the high genetic and cultural diversity among African populations. In population and forensic genetic studies a single sample is often used to re...

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Autores principales: Larmuseau, Maarten H. D., Vessi, Andrea, Jobling, Mark A., Van Geystelen, Anneleen, Primativo, Giuseppina, Biondi, Gianfranco, Martínez-Labarga, Cristina, Ottoni, Claudio, Decorte, Ronny, Rickards, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636292/
https://www.ncbi.nlm.nih.gov/pubmed/26544036
http://dx.doi.org/10.1371/journal.pone.0141510
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author Larmuseau, Maarten H. D.
Vessi, Andrea
Jobling, Mark A.
Van Geystelen, Anneleen
Primativo, Giuseppina
Biondi, Gianfranco
Martínez-Labarga, Cristina
Ottoni, Claudio
Decorte, Ronny
Rickards, Olga
author_facet Larmuseau, Maarten H. D.
Vessi, Andrea
Jobling, Mark A.
Van Geystelen, Anneleen
Primativo, Giuseppina
Biondi, Gianfranco
Martínez-Labarga, Cristina
Ottoni, Claudio
Decorte, Ronny
Rickards, Olga
author_sort Larmuseau, Maarten H. D.
collection PubMed
description Patterns of genetic variation in human populations across the African continent are still not well studied in comparison with Eurasia and America, despite the high genetic and cultural diversity among African populations. In population and forensic genetic studies a single sample is often used to represent a complete African region. In such a scenario, inappropriate sampling strategies and/or the use of local, isolated populations may bias interpretations and pose questions of representativeness at a macrogeographic-scale. The non-recombining region of the Y-chromosome (NRY) has great potential to reveal the regional representation of a sample due to its powerful phylogeographic information content. An area poorly characterized for Y-chromosomal data is the West-African region along the Bight of Benin, despite its important history in the trans-Atlantic slave trade and its large number of ethnic groups, languages and lifestyles. In this study, Y-chromosomal haplotypes from four Beninese populations were determined and a global meta-analysis with available Y-SNP and Y-STR data from populations along the Bight of Benin and surrounding areas was performed. A thorough methodology was developed allowing comparison of population samples using Y-chromosomal lineage data based on different Y-SNP panels and phylogenies. Geographic proximity turned out to be the best predictor of genetic affinity between populations along the Bight of Benin. Nevertheless, based on Y-chromosomal data from the literature two population samples differed strongly from others from the same or neighbouring areas and are not regionally representative within large-scale studies. Furthermore, the analysis of the HapMap sample YRI of a Yoruban population from South-western Nigeria based on Y-SNPs and Y-STR data showed for the first time its regional representativeness, a result which is important for standard population and forensic genetic applications using the YRI sample. Therefore, the uniquely and powerful geographical information carried by the Y-chromosome makes it an important locus to test the representativeness of a certain sample even in the genomic era, especially in poorly investigated areas like Africa.
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spelling pubmed-46362922015-11-13 The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers Larmuseau, Maarten H. D. Vessi, Andrea Jobling, Mark A. Van Geystelen, Anneleen Primativo, Giuseppina Biondi, Gianfranco Martínez-Labarga, Cristina Ottoni, Claudio Decorte, Ronny Rickards, Olga PLoS One Research Article Patterns of genetic variation in human populations across the African continent are still not well studied in comparison with Eurasia and America, despite the high genetic and cultural diversity among African populations. In population and forensic genetic studies a single sample is often used to represent a complete African region. In such a scenario, inappropriate sampling strategies and/or the use of local, isolated populations may bias interpretations and pose questions of representativeness at a macrogeographic-scale. The non-recombining region of the Y-chromosome (NRY) has great potential to reveal the regional representation of a sample due to its powerful phylogeographic information content. An area poorly characterized for Y-chromosomal data is the West-African region along the Bight of Benin, despite its important history in the trans-Atlantic slave trade and its large number of ethnic groups, languages and lifestyles. In this study, Y-chromosomal haplotypes from four Beninese populations were determined and a global meta-analysis with available Y-SNP and Y-STR data from populations along the Bight of Benin and surrounding areas was performed. A thorough methodology was developed allowing comparison of population samples using Y-chromosomal lineage data based on different Y-SNP panels and phylogenies. Geographic proximity turned out to be the best predictor of genetic affinity between populations along the Bight of Benin. Nevertheless, based on Y-chromosomal data from the literature two population samples differed strongly from others from the same or neighbouring areas and are not regionally representative within large-scale studies. Furthermore, the analysis of the HapMap sample YRI of a Yoruban population from South-western Nigeria based on Y-SNPs and Y-STR data showed for the first time its regional representativeness, a result which is important for standard population and forensic genetic applications using the YRI sample. Therefore, the uniquely and powerful geographical information carried by the Y-chromosome makes it an important locus to test the representativeness of a certain sample even in the genomic era, especially in poorly investigated areas like Africa. Public Library of Science 2015-11-06 /pmc/articles/PMC4636292/ /pubmed/26544036 http://dx.doi.org/10.1371/journal.pone.0141510 Text en © 2015 Larmuseau et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Larmuseau, Maarten H. D.
Vessi, Andrea
Jobling, Mark A.
Van Geystelen, Anneleen
Primativo, Giuseppina
Biondi, Gianfranco
Martínez-Labarga, Cristina
Ottoni, Claudio
Decorte, Ronny
Rickards, Olga
The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers
title The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers
title_full The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers
title_fullStr The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers
title_full_unstemmed The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers
title_short The Paternal Landscape along the Bight of Benin – Testing Regional Representativeness of West-African Population Samples Using Y-Chromosomal Markers
title_sort paternal landscape along the bight of benin – testing regional representativeness of west-african population samples using y-chromosomal markers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636292/
https://www.ncbi.nlm.nih.gov/pubmed/26544036
http://dx.doi.org/10.1371/journal.pone.0141510
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