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Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers

Siberian apricot (Prunus sibirica L.) is a woody tree species of ecological, economic, and social importance. To evaluate the genetic diversity, differentiation, and structure of P. sibirica, we analyzed 176 individuals from 10 natural populations using 14 microsatellite markers. These markers gener...

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Autores principales: Wang, Xinxin, Wang, Li, Sun, Yongqiang, Chen, Jianhua, Liu, Quangang, Dong, Shengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336122/
https://www.ncbi.nlm.nih.gov/pubmed/37433853
http://dx.doi.org/10.1038/s41598-023-37993-2
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author Wang, Xinxin
Wang, Li
Sun, Yongqiang
Chen, Jianhua
Liu, Quangang
Dong, Shengjun
author_facet Wang, Xinxin
Wang, Li
Sun, Yongqiang
Chen, Jianhua
Liu, Quangang
Dong, Shengjun
author_sort Wang, Xinxin
collection PubMed
description Siberian apricot (Prunus sibirica L.) is a woody tree species of ecological, economic, and social importance. To evaluate the genetic diversity, differentiation, and structure of P. sibirica, we analyzed 176 individuals from 10 natural populations using 14 microsatellite markers. These markers generated 194 alleles in total. The mean number of alleles (13.8571) was higher than the mean number of effective alleles (6.4822). The average expected heterozygosity (0.8292) was higher than the average observed heterozygosity (0.3178). Shannon information index and polymorphism information content were separately 2.0610 and 0.8093, demonstrating the rich genetic diversity of P. sibirica. Analysis of molecular variance revealed that 85% of the genetic variation occurred within populations, with only 15% among them. The genetic differentiation coefficient and gene flow were separately 0.151 and 1.401, indicating a high degree of genetic differentiation. Clustering results showed that a genetic distance coefficient of 0.6 divided the 10 natural populations into two subgroups (subgroups A and B). STRUCTURE and principal coordinate analysis divided the 176 individuals into two subgroups (clusters 1 and 2). Mantel tests revealed that genetic distance was correlated with geographical distance and elevation differences. These findings can contribute to the effective conservation and management of P. sibirica resources.
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spelling pubmed-103361222023-07-13 Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers Wang, Xinxin Wang, Li Sun, Yongqiang Chen, Jianhua Liu, Quangang Dong, Shengjun Sci Rep Article Siberian apricot (Prunus sibirica L.) is a woody tree species of ecological, economic, and social importance. To evaluate the genetic diversity, differentiation, and structure of P. sibirica, we analyzed 176 individuals from 10 natural populations using 14 microsatellite markers. These markers generated 194 alleles in total. The mean number of alleles (13.8571) was higher than the mean number of effective alleles (6.4822). The average expected heterozygosity (0.8292) was higher than the average observed heterozygosity (0.3178). Shannon information index and polymorphism information content were separately 2.0610 and 0.8093, demonstrating the rich genetic diversity of P. sibirica. Analysis of molecular variance revealed that 85% of the genetic variation occurred within populations, with only 15% among them. The genetic differentiation coefficient and gene flow were separately 0.151 and 1.401, indicating a high degree of genetic differentiation. Clustering results showed that a genetic distance coefficient of 0.6 divided the 10 natural populations into two subgroups (subgroups A and B). STRUCTURE and principal coordinate analysis divided the 176 individuals into two subgroups (clusters 1 and 2). Mantel tests revealed that genetic distance was correlated with geographical distance and elevation differences. These findings can contribute to the effective conservation and management of P. sibirica resources. Nature Publishing Group UK 2023-07-11 /pmc/articles/PMC10336122/ /pubmed/37433853 http://dx.doi.org/10.1038/s41598-023-37993-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Xinxin
Wang, Li
Sun, Yongqiang
Chen, Jianhua
Liu, Quangang
Dong, Shengjun
Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
title Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
title_full Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
title_fullStr Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
title_full_unstemmed Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
title_short Genetic diversity and conservation of Siberian apricot (Prunus sibirica L.) based on microsatellite markers
title_sort genetic diversity and conservation of siberian apricot (prunus sibirica l.) based on microsatellite markers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336122/
https://www.ncbi.nlm.nih.gov/pubmed/37433853
http://dx.doi.org/10.1038/s41598-023-37993-2
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