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Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers

Vicia amoena is a high-nutritional quality forage similar to alfalfa. However, studies on the genetic background of V. amoena are scarce. In the present study, the genetic variation of 24 V. amoena populations was assessed with newly developed simple sequence repeat (SSR) markers. A total of 8799 SS...

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Autores principales: Wu, Feifei, Zhang, Shangxiong, Gao, Qiu, Liu, Fang, Wang, Jianli, Wang, Xianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605504/
https://www.ncbi.nlm.nih.gov/pubmed/34800974
http://dx.doi.org/10.1186/s12870-021-03330-w
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author Wu, Feifei
Zhang, Shangxiong
Gao, Qiu
Liu, Fang
Wang, Jianli
Wang, Xianguo
author_facet Wu, Feifei
Zhang, Shangxiong
Gao, Qiu
Liu, Fang
Wang, Jianli
Wang, Xianguo
author_sort Wu, Feifei
collection PubMed
description Vicia amoena is a high-nutritional quality forage similar to alfalfa. However, studies on the genetic background of V. amoena are scarce. In the present study, the genetic variation of 24 V. amoena populations was assessed with newly developed simple sequence repeat (SSR) markers. A total of 8799 SSRs were identified in the V. amoena genomic-enriched sequences, and the most abundant repeat number was four. A total of 569 sampled individuals were assayed to evaluate the genetic diversity of the V. amoena populations based on 21 polymorphic SSR primers. The polymorphism information content (PIC) ranged from 0.896 to 0.968, with an average of 0.931, which indicated that the markers were highly informative. Based on analysis of molecular variance, 88% of the variance occurred within populations, and the remaining 12% of the variance occurred among populations. The high degree of gene flow (Nm= 4.958) also showed slight differentiation among the V. amoena populations. The V. amoena populations were mainly clustered by steppe and mountain habitats based on principal coordinate analysis (PCoA) and STRUCTURE analysis. This indicated that the elevation and special habitat of geographical origins may be important factors affecting the clustered pattern of V. amoena populations. Neighbour-joining (NJ) analysis did not separate the populations well by geographical origin, which indicated that the genetic structure of V. amoena was complex and needs further study. Overall, our results showed that the newly developed SSR markers could benefit the V. amoena research community by providing genetic background information to help establish a foundation for breeding improvement and germplasm resource conservation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03330-w.
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spelling pubmed-86055042021-11-22 Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers Wu, Feifei Zhang, Shangxiong Gao, Qiu Liu, Fang Wang, Jianli Wang, Xianguo BMC Plant Biol Research Vicia amoena is a high-nutritional quality forage similar to alfalfa. However, studies on the genetic background of V. amoena are scarce. In the present study, the genetic variation of 24 V. amoena populations was assessed with newly developed simple sequence repeat (SSR) markers. A total of 8799 SSRs were identified in the V. amoena genomic-enriched sequences, and the most abundant repeat number was four. A total of 569 sampled individuals were assayed to evaluate the genetic diversity of the V. amoena populations based on 21 polymorphic SSR primers. The polymorphism information content (PIC) ranged from 0.896 to 0.968, with an average of 0.931, which indicated that the markers were highly informative. Based on analysis of molecular variance, 88% of the variance occurred within populations, and the remaining 12% of the variance occurred among populations. The high degree of gene flow (Nm= 4.958) also showed slight differentiation among the V. amoena populations. The V. amoena populations were mainly clustered by steppe and mountain habitats based on principal coordinate analysis (PCoA) and STRUCTURE analysis. This indicated that the elevation and special habitat of geographical origins may be important factors affecting the clustered pattern of V. amoena populations. Neighbour-joining (NJ) analysis did not separate the populations well by geographical origin, which indicated that the genetic structure of V. amoena was complex and needs further study. Overall, our results showed that the newly developed SSR markers could benefit the V. amoena research community by providing genetic background information to help establish a foundation for breeding improvement and germplasm resource conservation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03330-w. BioMed Central 2021-11-20 /pmc/articles/PMC8605504/ /pubmed/34800974 http://dx.doi.org/10.1186/s12870-021-03330-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Feifei
Zhang, Shangxiong
Gao, Qiu
Liu, Fang
Wang, Jianli
Wang, Xianguo
Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers
title Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers
title_full Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers
title_fullStr Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers
title_full_unstemmed Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers
title_short Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers
title_sort genetic diversity and population structure analysis in a large collection of vicia amoena in china with newly developed ssr markers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605504/
https://www.ncbi.nlm.nih.gov/pubmed/34800974
http://dx.doi.org/10.1186/s12870-021-03330-w
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