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Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers

BACKGROUND: Quercus liaotungensis Koidz. is an ecologically and economically important tree species widely distributed in Northern China. However, the effective assessment, utilization, and protection of Q. liaotungensis resources remain unexplored. METHODS: In total, 120 samples obtained from 12 Q....

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Autores principales: Guo, Bin, Hao, Xiangchun, Han, Lijun, Zhai, Yu, Zhou, Shuai, Chen, Si, Ren, Da, An, Xinmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052960/
https://www.ncbi.nlm.nih.gov/pubmed/33954024
http://dx.doi.org/10.7717/peerj.10922
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author Guo, Bin
Hao, Xiangchun
Han, Lijun
Zhai, Yu
Zhou, Shuai
Chen, Si
Ren, Da
An, Xinmin
author_facet Guo, Bin
Hao, Xiangchun
Han, Lijun
Zhai, Yu
Zhou, Shuai
Chen, Si
Ren, Da
An, Xinmin
author_sort Guo, Bin
collection PubMed
description BACKGROUND: Quercus liaotungensis Koidz. is an ecologically and economically important tree species widely distributed in Northern China. However, the effective assessment, utilization, and protection of Q. liaotungensis resources remain unexplored. METHODS: In total, 120 samples obtained from 12 Q. liaotungensis populations of Northern China were investigated for genetic diversity and structure using 19 simple sequence repeat (SSR) primer pairs. RESULTS: The total number of alleles detected was 293, the average number of effective allele (Ne) was 6.084, the genetic differentiation coefficient (Fst) was 0.033, and the mean observed heterozygosity (Ho) and expected heterozygosity (He) were 0.690 and 0.801, respectively. Moreover, analysis of molecular variance (AMOVA) showed a 5.5% genetic variation among 12 Q. liaotungensis populations, indicating that a high level of genetic diversity and a low degree of genetic differentiation among Q. liaotungensis populations. STRUCTURE and cluster analysis divided the 12 Q. liaotungensis populations into the following three subpopulations: Bashang Plateau subpopulation (SH), Liaodong Peninsula subpopulation (NC), and Loess Plateau subpopulation (other 10 populations). The cluster analysis based on 19 climatic factors was consistent with the genetic structure. A positive correlation was found between genetic distance and geographical distance (r = 0.638, p = 0.028) by the Mantel test, and two boundaries were found among the 12 Q. liaotungensis populations by the Barrier analysis, indicating that Q. liaotungensis populations existed isolated by geographical distance and physical barrier. CONCLUSION: This study suggests that geographical isolation, physical barrier, climatic types, and natural hybridization promote the formation of genetic structures, which can contribute to future protection and genetic improvement of Q. liaotungensis.
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spelling pubmed-80529602021-05-04 Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers Guo, Bin Hao, Xiangchun Han, Lijun Zhai, Yu Zhou, Shuai Chen, Si Ren, Da An, Xinmin PeerJ Biodiversity BACKGROUND: Quercus liaotungensis Koidz. is an ecologically and economically important tree species widely distributed in Northern China. However, the effective assessment, utilization, and protection of Q. liaotungensis resources remain unexplored. METHODS: In total, 120 samples obtained from 12 Q. liaotungensis populations of Northern China were investigated for genetic diversity and structure using 19 simple sequence repeat (SSR) primer pairs. RESULTS: The total number of alleles detected was 293, the average number of effective allele (Ne) was 6.084, the genetic differentiation coefficient (Fst) was 0.033, and the mean observed heterozygosity (Ho) and expected heterozygosity (He) were 0.690 and 0.801, respectively. Moreover, analysis of molecular variance (AMOVA) showed a 5.5% genetic variation among 12 Q. liaotungensis populations, indicating that a high level of genetic diversity and a low degree of genetic differentiation among Q. liaotungensis populations. STRUCTURE and cluster analysis divided the 12 Q. liaotungensis populations into the following three subpopulations: Bashang Plateau subpopulation (SH), Liaodong Peninsula subpopulation (NC), and Loess Plateau subpopulation (other 10 populations). The cluster analysis based on 19 climatic factors was consistent with the genetic structure. A positive correlation was found between genetic distance and geographical distance (r = 0.638, p = 0.028) by the Mantel test, and two boundaries were found among the 12 Q. liaotungensis populations by the Barrier analysis, indicating that Q. liaotungensis populations existed isolated by geographical distance and physical barrier. CONCLUSION: This study suggests that geographical isolation, physical barrier, climatic types, and natural hybridization promote the formation of genetic structures, which can contribute to future protection and genetic improvement of Q. liaotungensis. PeerJ Inc. 2021-04-14 /pmc/articles/PMC8052960/ /pubmed/33954024 http://dx.doi.org/10.7717/peerj.10922 Text en ©2021 Guo et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biodiversity
Guo, Bin
Hao, Xiangchun
Han, Lijun
Zhai, Yu
Zhou, Shuai
Chen, Si
Ren, Da
An, Xinmin
Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers
title Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers
title_full Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers
title_fullStr Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers
title_full_unstemmed Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers
title_short Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers
title_sort unraveling the genetic diversity and structure of quercus liaotungensis population through analysis of microsatellite markers
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052960/
https://www.ncbi.nlm.nih.gov/pubmed/33954024
http://dx.doi.org/10.7717/peerj.10922
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