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Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis

Analysis of ancient and historical DNA has great potential to trace the genetic diversity of local cattle populations during their centuries-long development. Forty-nine specimens representing five cattle breeds (Kholmogor, Yaroslavl, Great Russian, Novgorod, and Holland), dated from the end of the...

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Autores principales: Abdelmanova, Alexandra S., Kharzinova, Veronika R., Volkova, Valeria V., Mishina, Arina I., Dotsev, Arsen V., Sermyagin, Alexander A., Boronetskaya, Oxana I., Petrikeeva, Lidia V., Chinarov, Roman Yu, Brem, Gottfried, Zinovieva, Natalia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463645/
https://www.ncbi.nlm.nih.gov/pubmed/32824045
http://dx.doi.org/10.3390/genes11080940
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author Abdelmanova, Alexandra S.
Kharzinova, Veronika R.
Volkova, Valeria V.
Mishina, Arina I.
Dotsev, Arsen V.
Sermyagin, Alexander A.
Boronetskaya, Oxana I.
Petrikeeva, Lidia V.
Chinarov, Roman Yu
Brem, Gottfried
Zinovieva, Natalia A.
author_facet Abdelmanova, Alexandra S.
Kharzinova, Veronika R.
Volkova, Valeria V.
Mishina, Arina I.
Dotsev, Arsen V.
Sermyagin, Alexander A.
Boronetskaya, Oxana I.
Petrikeeva, Lidia V.
Chinarov, Roman Yu
Brem, Gottfried
Zinovieva, Natalia A.
author_sort Abdelmanova, Alexandra S.
collection PubMed
description Analysis of ancient and historical DNA has great potential to trace the genetic diversity of local cattle populations during their centuries-long development. Forty-nine specimens representing five cattle breeds (Kholmogor, Yaroslavl, Great Russian, Novgorod, and Holland), dated from the end of the 19th century to the first half of the 20th century, were genotyped for nine polymorphic microsatellite loci. Using a multiple-tube approach, we determined the consensus genotypes of all samples/loci analysed. Amplification errors, including allelic drop-out (ADO) and false alleles (FA), occurred with an average frequency of 2.35% and 0.79%, respectively. A significant effect of allelic length on ADO rate (r(2) = 0.620, p = 0.05) was shown. We did not observe significant differences in genetic diversity among historical samples and modern representatives of Kholmogor and Yaroslavl breeds. The unbiased expected heterozygosity values were 0.726–0.774 and 0.708–0.739; the allelic richness values were 2.716–2.893 and 2.661–2.758 for the historical and modern samples, respectively. Analyses of F(ST) and Jost’s D genetic distances, and the results of STRUCTURE clustering, showed the maintenance of a part of historical components in the modern populations of Kholmogor and Yaroslavl cattle. Our study contributes to the conservation of biodiversity in the local Russian genetic resources of cattle.
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spelling pubmed-74636452020-09-02 Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis Abdelmanova, Alexandra S. Kharzinova, Veronika R. Volkova, Valeria V. Mishina, Arina I. Dotsev, Arsen V. Sermyagin, Alexander A. Boronetskaya, Oxana I. Petrikeeva, Lidia V. Chinarov, Roman Yu Brem, Gottfried Zinovieva, Natalia A. Genes (Basel) Article Analysis of ancient and historical DNA has great potential to trace the genetic diversity of local cattle populations during their centuries-long development. Forty-nine specimens representing five cattle breeds (Kholmogor, Yaroslavl, Great Russian, Novgorod, and Holland), dated from the end of the 19th century to the first half of the 20th century, were genotyped for nine polymorphic microsatellite loci. Using a multiple-tube approach, we determined the consensus genotypes of all samples/loci analysed. Amplification errors, including allelic drop-out (ADO) and false alleles (FA), occurred with an average frequency of 2.35% and 0.79%, respectively. A significant effect of allelic length on ADO rate (r(2) = 0.620, p = 0.05) was shown. We did not observe significant differences in genetic diversity among historical samples and modern representatives of Kholmogor and Yaroslavl breeds. The unbiased expected heterozygosity values were 0.726–0.774 and 0.708–0.739; the allelic richness values were 2.716–2.893 and 2.661–2.758 for the historical and modern samples, respectively. Analyses of F(ST) and Jost’s D genetic distances, and the results of STRUCTURE clustering, showed the maintenance of a part of historical components in the modern populations of Kholmogor and Yaroslavl cattle. Our study contributes to the conservation of biodiversity in the local Russian genetic resources of cattle. MDPI 2020-08-14 /pmc/articles/PMC7463645/ /pubmed/32824045 http://dx.doi.org/10.3390/genes11080940 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Abdelmanova, Alexandra S.
Kharzinova, Veronika R.
Volkova, Valeria V.
Mishina, Arina I.
Dotsev, Arsen V.
Sermyagin, Alexander A.
Boronetskaya, Oxana I.
Petrikeeva, Lidia V.
Chinarov, Roman Yu
Brem, Gottfried
Zinovieva, Natalia A.
Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis
title Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis
title_full Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis
title_fullStr Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis
title_full_unstemmed Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis
title_short Genetic Diversity of Historical and Modern Populations of Russian Cattle Breeds Revealed by Microsatellite Analysis
title_sort genetic diversity of historical and modern populations of russian cattle breeds revealed by microsatellite analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463645/
https://www.ncbi.nlm.nih.gov/pubmed/32824045
http://dx.doi.org/10.3390/genes11080940
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