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Genetic Diversity, Population Structure, and Conservation Units of Castanopsis sclerophylla (Fagaceae)
Castanopsis sclerophylla (Lindl.) Schott. is a canopy tree species of evergreen broad-leaved forests in subtropical China. In this study, the genetic diversity and population structure of C. sclerophylla were investigated by using chloroplast DNA sequences and nuclear microsatellite markers. Permuta...
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Published in: | Forests 2022-08, Vol.13 (8), p.1239 |
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description | Castanopsis sclerophylla (Lindl.) Schott. is a canopy tree species of evergreen broad-leaved forests in subtropical China. In this study, the genetic diversity and population structure of C. sclerophylla were investigated by using chloroplast DNA sequences and nuclear microsatellite markers. Permutation tests with chloroplast DNA sequences indicated the presence of phylogeographic structure in C. sclerophylla. Based on nuclear microsatellite markers, Bayesian clustering analysis revealed eastern-to-western differentiation in C. sclerophylla, and the analysis of molecular variance suggested population divergence has arisen along the Xuefeng, Luoxiao, and Wuyi mountain ranges. The approximate Bayesian computation demonstrated that the genetic diversity pattern of C. sclerophylla could be explained by geographic isolation followed by secondary contact. Ecological niche modelling showed that distribution of C. sclerophylla shrank southward at the Last Glacial Maximum and expanded northward at the Mid Holocene. These results suggested that the uplift of the Xuefeng, Luoxiao, and Wuyi mountain ranges and the interglacial–glacial climate change shaped the genetic diversity of C. sclerophylla. The Luoxiao mountain range should be considered as a key conservation unit of C. sclerophylla due to its higher level of genetic diversity. Our study supplies important information for prioritizing the conservation and sustainable utilization of C. sclerophylla, and provides insight on the dynamics of evergreen broad-leaved forests in subtropical China. |
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Schott. is a canopy tree species of evergreen broad-leaved forests in subtropical China. In this study, the genetic diversity and population structure of C. sclerophylla were investigated by using chloroplast DNA sequences and nuclear microsatellite markers. Permutation tests with chloroplast DNA sequences indicated the presence of phylogeographic structure in C. sclerophylla. Based on nuclear microsatellite markers, Bayesian clustering analysis revealed eastern-to-western differentiation in C. sclerophylla, and the analysis of molecular variance suggested population divergence has arisen along the Xuefeng, Luoxiao, and Wuyi mountain ranges. The approximate Bayesian computation demonstrated that the genetic diversity pattern of C. sclerophylla could be explained by geographic isolation followed by secondary contact. Ecological niche modelling showed that distribution of C. sclerophylla shrank southward at the Last Glacial Maximum and expanded northward at the Mid Holocene. These results suggested that the uplift of the Xuefeng, Luoxiao, and Wuyi mountain ranges and the interglacial–glacial climate change shaped the genetic diversity of C. sclerophylla. The Luoxiao mountain range should be considered as a key conservation unit of C. sclerophylla due to its higher level of genetic diversity. Our study supplies important information for prioritizing the conservation and sustainable utilization of C. sclerophylla, and provides insight on the dynamics of evergreen broad-leaved forests in subtropical China.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f13081239</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural production ; Bayesian analysis ; Biodiversity ; Biomarkers ; Castanopsis sclerophylla ; Chloroplast DNA ; chloroplast DNA sequence ; Chloroplasts ; Climate change ; Cluster analysis ; Clustering ; Coniferous forests ; Conservation ; Deoxyribonucleic acid ; Divergence ; DNA ; Ecological niches ; Gene sequencing ; Genetic diversity ; Genetic markers ; Holocene ; microsatellite ; Microsatellites ; Mountains ; Mutation ; Nucleotide sequence ; Permutations ; Phylogeography ; Plant species ; Polymorphism ; Population ; Population genetics ; Population structure ; Simulation ; Variance analysis ; Wildlife conservation</subject><ispartof>Forests, 2022-08, Vol.13 (8), p.1239</ispartof><rights>2022 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 (https://creativecommons.org/licenses/by/4.0/). 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Schott. is a canopy tree species of evergreen broad-leaved forests in subtropical China. In this study, the genetic diversity and population structure of C. sclerophylla were investigated by using chloroplast DNA sequences and nuclear microsatellite markers. Permutation tests with chloroplast DNA sequences indicated the presence of phylogeographic structure in C. sclerophylla. Based on nuclear microsatellite markers, Bayesian clustering analysis revealed eastern-to-western differentiation in C. sclerophylla, and the analysis of molecular variance suggested population divergence has arisen along the Xuefeng, Luoxiao, and Wuyi mountain ranges. The approximate Bayesian computation demonstrated that the genetic diversity pattern of C. sclerophylla could be explained by geographic isolation followed by secondary contact. Ecological niche modelling showed that distribution of C. sclerophylla shrank southward at the Last Glacial Maximum and expanded northward at the Mid Holocene. These results suggested that the uplift of the Xuefeng, Luoxiao, and Wuyi mountain ranges and the interglacial–glacial climate change shaped the genetic diversity of C. sclerophylla. The Luoxiao mountain range should be considered as a key conservation unit of C. sclerophylla due to its higher level of genetic diversity. Our study supplies important information for prioritizing the conservation and sustainable utilization of C. sclerophylla, and provides insight on the dynamics of evergreen broad-leaved forests in subtropical China.</description><subject>Agricultural production</subject><subject>Bayesian analysis</subject><subject>Biodiversity</subject><subject>Biomarkers</subject><subject>Castanopsis sclerophylla</subject><subject>Chloroplast DNA</subject><subject>chloroplast DNA sequence</subject><subject>Chloroplasts</subject><subject>Climate change</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Coniferous forests</subject><subject>Conservation</subject><subject>Deoxyribonucleic acid</subject><subject>Divergence</subject><subject>DNA</subject><subject>Ecological niches</subject><subject>Gene sequencing</subject><subject>Genetic diversity</subject><subject>Genetic markers</subject><subject>Holocene</subject><subject>microsatellite</subject><subject>Microsatellites</subject><subject>Mountains</subject><subject>Mutation</subject><subject>Nucleotide sequence</subject><subject>Permutations</subject><subject>Phylogeography</subject><subject>Plant species</subject><subject>Polymorphism</subject><subject>Population</subject><subject>Population genetics</subject><subject>Population structure</subject><subject>Simulation</subject><subject>Variance analysis</subject><subject>Wildlife conservation</subject><issn>1999-4907</issn><issn>1999-4907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LI0EQHcQFRXPYf9DgRcFof38cJZqsIOzCruem0qnWCeP02N0j5N87bkSsSxVVj_de8ZrmJ6NXQjh6HZmglnHhDppj5pybS0fN4bf5qJmVsqVTKWMdl8dNXGGPtQ3ktn3DXNq6uyR_0jB2UNvUk781j6GOGS8J9BuySH3B_La_PfZtLSRFsoBSoU9DaQspocOchudd1wE5X8ITBAS8OG1-ROgKzj77SfO4vPu3-DV_-L26X9w8zINQts4Ndy6srXZRBSal1ZaKNQaQKNBqodZUS8WicAZBW0ORRqRcGc7WsAFQ4qS53_NuEmz9kNsXyDufoPX_Fyk_ecjTux16Tq1BQVFzHqW1xikZeVRcajppSDdxne25hpxeRyzVb9OY-8m-54ZqZqVWfEJd7FEhp1Iyxi9VRv1HKv4rFfEO4rN8_g</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Chen, Shuang</creator><creator>Chen, Risheng</creator><creator>Zeng, Xiaorong</creator><creator>Chen, Xing</creator><creator>Qin, Xinsheng</creator><creator>Zhang, Zhuoxin</creator><creator>Sun, Ye</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6099-9536</orcidid></search><sort><creationdate>20220801</creationdate><title>Genetic Diversity, Population Structure, and Conservation Units of Castanopsis sclerophylla (Fagaceae)</title><author>Chen, Shuang ; Chen, Risheng ; Zeng, Xiaorong ; Chen, Xing ; Qin, Xinsheng ; Zhang, Zhuoxin ; Sun, Ye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-7299cb869f5c14486803beca4e3e8635b06451f397ea6870e0fe025721badaa53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural production</topic><topic>Bayesian analysis</topic><topic>Biodiversity</topic><topic>Biomarkers</topic><topic>Castanopsis sclerophylla</topic><topic>Chloroplast DNA</topic><topic>chloroplast DNA sequence</topic><topic>Chloroplasts</topic><topic>Climate change</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Coniferous forests</topic><topic>Conservation</topic><topic>Deoxyribonucleic acid</topic><topic>Divergence</topic><topic>DNA</topic><topic>Ecological niches</topic><topic>Gene sequencing</topic><topic>Genetic diversity</topic><topic>Genetic markers</topic><topic>Holocene</topic><topic>microsatellite</topic><topic>Microsatellites</topic><topic>Mountains</topic><topic>Mutation</topic><topic>Nucleotide sequence</topic><topic>Permutations</topic><topic>Phylogeography</topic><topic>Plant species</topic><topic>Polymorphism</topic><topic>Population</topic><topic>Population genetics</topic><topic>Population structure</topic><topic>Simulation</topic><topic>Variance analysis</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Shuang</creatorcontrib><creatorcontrib>Chen, Risheng</creatorcontrib><creatorcontrib>Zeng, Xiaorong</creatorcontrib><creatorcontrib>Chen, Xing</creatorcontrib><creatorcontrib>Qin, Xinsheng</creatorcontrib><creatorcontrib>Zhang, Zhuoxin</creatorcontrib><creatorcontrib>Sun, Ye</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Shuang</au><au>Chen, Risheng</au><au>Zeng, Xiaorong</au><au>Chen, Xing</au><au>Qin, Xinsheng</au><au>Zhang, Zhuoxin</au><au>Sun, Ye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic Diversity, Population Structure, and Conservation Units of Castanopsis sclerophylla (Fagaceae)</atitle><jtitle>Forests</jtitle><date>2022-08-01</date><risdate>2022</risdate><volume>13</volume><issue>8</issue><spage>1239</spage><pages>1239-</pages><issn>1999-4907</issn><eissn>1999-4907</eissn><abstract>Castanopsis sclerophylla (Lindl.) Schott. is a canopy tree species of evergreen broad-leaved forests in subtropical China. In this study, the genetic diversity and population structure of C. sclerophylla were investigated by using chloroplast DNA sequences and nuclear microsatellite markers. Permutation tests with chloroplast DNA sequences indicated the presence of phylogeographic structure in C. sclerophylla. Based on nuclear microsatellite markers, Bayesian clustering analysis revealed eastern-to-western differentiation in C. sclerophylla, and the analysis of molecular variance suggested population divergence has arisen along the Xuefeng, Luoxiao, and Wuyi mountain ranges. The approximate Bayesian computation demonstrated that the genetic diversity pattern of C. sclerophylla could be explained by geographic isolation followed by secondary contact. Ecological niche modelling showed that distribution of C. sclerophylla shrank southward at the Last Glacial Maximum and expanded northward at the Mid Holocene. These results suggested that the uplift of the Xuefeng, Luoxiao, and Wuyi mountain ranges and the interglacial–glacial climate change shaped the genetic diversity of C. sclerophylla. The Luoxiao mountain range should be considered as a key conservation unit of C. sclerophylla due to its higher level of genetic diversity. Our study supplies important information for prioritizing the conservation and sustainable utilization of C. sclerophylla, and provides insight on the dynamics of evergreen broad-leaved forests in subtropical China.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/f13081239</doi><orcidid>https://orcid.org/0000-0002-6099-9536</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural production Bayesian analysis Biodiversity Biomarkers Castanopsis sclerophylla Chloroplast DNA chloroplast DNA sequence Chloroplasts Climate change Cluster analysis Clustering Coniferous forests Conservation Deoxyribonucleic acid Divergence DNA Ecological niches Gene sequencing Genetic diversity Genetic markers Holocene microsatellite Microsatellites Mountains Mutation Nucleotide sequence Permutations Phylogeography Plant species Polymorphism Population Population genetics Population structure Simulation Variance analysis Wildlife conservation |
title | Genetic Diversity, Population Structure, and Conservation Units of Castanopsis sclerophylla (Fagaceae) |
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