Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci

Abstract Population structure was investigated in 990 Botswana individuals according to ethno-linguistics, Bantu and Khoisan, and geography (the nine administrative districts) using the Identifiler autosomal microsatellite markers. Genetic diversity and forensic parameters were calculated for the ov...

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Autores principales:	Tiroyamodimo Tau, Anthony Wally, Thokozile Patricia Fanie, Goitseone Lorato Ngono, Sununguko Wata Mpoloka, Sean Davison, María Eugenia D’Amato
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9c32123e071a4fdd8b9a7843210ed871
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spelling	oai:doaj.org-article:9c32123e071a4fdd8b9a7843210ed8712021-12-02T11:51:01ZGenetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci10.1038/s41598-017-06365-y2045-2322https://doaj.org/article/9c32123e071a4fdd8b9a7843210ed8712017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06365-yhttps://doaj.org/toc/2045-2322Abstract Population structure was investigated in 990 Botswana individuals according to ethno-linguistics, Bantu and Khoisan, and geography (the nine administrative districts) using the Identifiler autosomal microsatellite markers. Genetic diversity and forensic parameters were calculated for the overall population, and according to ethno-linguistics and geography. The overall combined power of exclusion (CPE) was 0.9999965412 and the combined match probability 6,28 × 10−19. CPE was highest for the Khoisan Tuu ethnolinguistic group and the Northeast District at 0.9999582029 and 0.9999922652 respectively. CMP ranged from 6.28 × 10−19 (Khoisan Tuu) to 1,02 × 10−18 (Northwest district). Using pairwise genetic distances (FST), analysis of molecular variance (AMOVA), factorial correspondence analysis (FCA), and the unsupervised Bayesian clustering method found in STRUCTURE and TESS, ethno-linguistics were found to have a greater influence on population structure than geography. FCA showed clustering between Bantu and Khoisan, and within the Bantu. This Bantu sub-structuring was not seen with STRUCTURE and TESS, which detected clustering only between Bantu and Khoisan. The patterns of population structure revealed highlight the need for regional reference databases that include ethno-linguistic and geographic location information. These markers have important potential for bio-anthropological studies as well as for forensic applications.Tiroyamodimo TauAnthony WallyThokozile Patricia FanieGoitseone Lorato NgonoSununguko Wata MpolokaSean DavisonMaría Eugenia D’AmatoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tiroyamodimo Tau Anthony Wally Thokozile Patricia Fanie Goitseone Lorato Ngono Sununguko Wata Mpoloka Sean Davison María Eugenia D’Amato Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci
description	Abstract Population structure was investigated in 990 Botswana individuals according to ethno-linguistics, Bantu and Khoisan, and geography (the nine administrative districts) using the Identifiler autosomal microsatellite markers. Genetic diversity and forensic parameters were calculated for the overall population, and according to ethno-linguistics and geography. The overall combined power of exclusion (CPE) was 0.9999965412 and the combined match probability 6,28 × 10−19. CPE was highest for the Khoisan Tuu ethnolinguistic group and the Northeast District at 0.9999582029 and 0.9999922652 respectively. CMP ranged from 6.28 × 10−19 (Khoisan Tuu) to 1,02 × 10−18 (Northwest district). Using pairwise genetic distances (FST), analysis of molecular variance (AMOVA), factorial correspondence analysis (FCA), and the unsupervised Bayesian clustering method found in STRUCTURE and TESS, ethno-linguistics were found to have a greater influence on population structure than geography. FCA showed clustering between Bantu and Khoisan, and within the Bantu. This Bantu sub-structuring was not seen with STRUCTURE and TESS, which detected clustering only between Bantu and Khoisan. The patterns of population structure revealed highlight the need for regional reference databases that include ethno-linguistic and geographic location information. These markers have important potential for bio-anthropological studies as well as for forensic applications.
format	article
author	Tiroyamodimo Tau Anthony Wally Thokozile Patricia Fanie Goitseone Lorato Ngono Sununguko Wata Mpoloka Sean Davison María Eugenia D’Amato
author_facet	Tiroyamodimo Tau Anthony Wally Thokozile Patricia Fanie Goitseone Lorato Ngono Sununguko Wata Mpoloka Sean Davison María Eugenia D’Amato
author_sort	Tiroyamodimo Tau
title	Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci
title_short	Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci
title_full	Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci
title_fullStr	Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci
title_full_unstemmed	Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci
title_sort	genetic variation and population structure of botswana populations as identified with ampflstr identifiler short tandem repeat (str) loci
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/9c32123e071a4fdd8b9a7843210ed871
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Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci

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