Cargando…

High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers

Siberian apricot (Prunus sibirica L.), an ecologically and economically important tree species with a high degree of tolerance to a variety of extreme environmental conditions, is widely distributed across the mountains of northeastern and northern China, eastern and southeastern regions of Mongolia...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zhe, Kang, Ming, Liu, Huabo, Gao, Jiao, Zhang, Zhengdong, Li, Yingyue, Wu, Rongling, Pang, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3917850/
https://www.ncbi.nlm.nih.gov/pubmed/24516551
http://dx.doi.org/10.1371/journal.pone.0087381
_version_ 1782302886474022912
author Wang, Zhe
Kang, Ming
Liu, Huabo
Gao, Jiao
Zhang, Zhengdong
Li, Yingyue
Wu, Rongling
Pang, Xiaoming
author_facet Wang, Zhe
Kang, Ming
Liu, Huabo
Gao, Jiao
Zhang, Zhengdong
Li, Yingyue
Wu, Rongling
Pang, Xiaoming
author_sort Wang, Zhe
collection PubMed
description Siberian apricot (Prunus sibirica L.), an ecologically and economically important tree species with a high degree of tolerance to a variety of extreme environmental conditions, is widely distributed across the mountains of northeastern and northern China, eastern and southeastern regions of Mongolia, Eastern Siberia, and the Maritime Territory of Russia. However, few studies have examined the genetic diversity and population structure of this species. Using 31 nuclear microsatellites, we investigated the level of genetic diversity and population structure of Siberian apricot sampled from 22 populations across China. The number of alleles per locus ranged from 5 to 33, with an average of 19.323 alleles. The observed heterozygosity and expected heterozygosity ranged from 0.037 to 0.874 and 0.040 to 0.924 with average values of 0.639 and 0.774, respectively. A STRUCTURE-based analysis clustered all of the populations into four genetic clusters. Significant genetic differentiation was observed between all population pairs. A hierarchical analysis of molecular variance attributed about 94% of the variation to within populations. No significant difference was detected between the wild and semi-wild groups, indicating that recent cultivation practices have had little impact on the genetic diversity of Siberian apricot. The Mantel test showed that the genetic distance among the populations was not significantly correlated with geographic distance (r = 0.4651, p = 0.9940). Our study represents the most comprehensive investigation of the genetic diversity and population structure of Siberian apricot in China to date, and it provides valuable information for the collection of genetic resources for the breeding of Siberian apricot and related species.
format Online
Article
Text
id pubmed-3917850
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-39178502014-02-10 High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers Wang, Zhe Kang, Ming Liu, Huabo Gao, Jiao Zhang, Zhengdong Li, Yingyue Wu, Rongling Pang, Xiaoming PLoS One Research Article Siberian apricot (Prunus sibirica L.), an ecologically and economically important tree species with a high degree of tolerance to a variety of extreme environmental conditions, is widely distributed across the mountains of northeastern and northern China, eastern and southeastern regions of Mongolia, Eastern Siberia, and the Maritime Territory of Russia. However, few studies have examined the genetic diversity and population structure of this species. Using 31 nuclear microsatellites, we investigated the level of genetic diversity and population structure of Siberian apricot sampled from 22 populations across China. The number of alleles per locus ranged from 5 to 33, with an average of 19.323 alleles. The observed heterozygosity and expected heterozygosity ranged from 0.037 to 0.874 and 0.040 to 0.924 with average values of 0.639 and 0.774, respectively. A STRUCTURE-based analysis clustered all of the populations into four genetic clusters. Significant genetic differentiation was observed between all population pairs. A hierarchical analysis of molecular variance attributed about 94% of the variation to within populations. No significant difference was detected between the wild and semi-wild groups, indicating that recent cultivation practices have had little impact on the genetic diversity of Siberian apricot. The Mantel test showed that the genetic distance among the populations was not significantly correlated with geographic distance (r = 0.4651, p = 0.9940). Our study represents the most comprehensive investigation of the genetic diversity and population structure of Siberian apricot in China to date, and it provides valuable information for the collection of genetic resources for the breeding of Siberian apricot and related species. Public Library of Science 2014-02-07 /pmc/articles/PMC3917850/ /pubmed/24516551 http://dx.doi.org/10.1371/journal.pone.0087381 Text en © 2014 Wang 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
Wang, Zhe
Kang, Ming
Liu, Huabo
Gao, Jiao
Zhang, Zhengdong
Li, Yingyue
Wu, Rongling
Pang, Xiaoming
High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers
title High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers
title_full High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers
title_fullStr High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers
title_full_unstemmed High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers
title_short High-Level Genetic Diversity and Complex Population Structure of Siberian Apricot (Prunus sibirica L.) in China as Revealed by Nuclear SSR Markers
title_sort high-level genetic diversity and complex population structure of siberian apricot (prunus sibirica l.) in china as revealed by nuclear ssr markers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3917850/
https://www.ncbi.nlm.nih.gov/pubmed/24516551
http://dx.doi.org/10.1371/journal.pone.0087381
work_keys_str_mv AT wangzhe highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT kangming highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT liuhuabo highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT gaojiao highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT zhangzhengdong highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT liyingyue highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT wurongling highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers
AT pangxiaoming highlevelgeneticdiversityandcomplexpopulationstructureofsiberianapricotprunussibiricalinchinaasrevealedbynuclearssrmarkers