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Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China
Detecting how historical and contemporary factors contribute to genetic divergence and genetic structure is a central question in ecology and evolution. We examine this question by intergrating population genetics with ecological niche modelling of Litsea auriculata (Lauraceae), which is endangered...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725559/ https://www.ncbi.nlm.nih.gov/pubmed/29229912 http://dx.doi.org/10.1038/s41598-017-16917-x |
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author | Geng, Qifang Sun, Lin Zhang, Peihua Wang, Zhongsheng Qiu, Yingxiong Liu, Hong Lian, Chunlan |
author_facet | Geng, Qifang Sun, Lin Zhang, Peihua Wang, Zhongsheng Qiu, Yingxiong Liu, Hong Lian, Chunlan |
author_sort | Geng, Qifang |
collection | PubMed |
description | Detecting how historical and contemporary factors contribute to genetic divergence and genetic structure is a central question in ecology and evolution. We examine this question by intergrating population genetics with ecological niche modelling of Litsea auriculata (Lauraceae), which is endangered and native to east China. Geographical and environmental factors including climatic fluctuations since the last glacial maximum (LGM) have also contribute to population demography and patterns of genetic structure. L. auriculata populations underwent expansion after divergence and dramatically decreased to the current small size with relative population bottlenecks due to climate changes. Populations separated by physical geographical barrier including geographic distance and Yangtze River, as a result contemporary gene flow among L. auriculata populations showed drastic declines in comparison with historical gene flow, resulting in a high level of population divergence. Thus, patterns of genetic structure of L. auriculata can result from both geographic and environmental factors including climate changes. This information is helpful in forming conservation strategies for L. auriculata in China. |
format | Online Article Text |
id | pubmed-5725559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57255592017-12-13 Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China Geng, Qifang Sun, Lin Zhang, Peihua Wang, Zhongsheng Qiu, Yingxiong Liu, Hong Lian, Chunlan Sci Rep Article Detecting how historical and contemporary factors contribute to genetic divergence and genetic structure is a central question in ecology and evolution. We examine this question by intergrating population genetics with ecological niche modelling of Litsea auriculata (Lauraceae), which is endangered and native to east China. Geographical and environmental factors including climatic fluctuations since the last glacial maximum (LGM) have also contribute to population demography and patterns of genetic structure. L. auriculata populations underwent expansion after divergence and dramatically decreased to the current small size with relative population bottlenecks due to climate changes. Populations separated by physical geographical barrier including geographic distance and Yangtze River, as a result contemporary gene flow among L. auriculata populations showed drastic declines in comparison with historical gene flow, resulting in a high level of population divergence. Thus, patterns of genetic structure of L. auriculata can result from both geographic and environmental factors including climate changes. This information is helpful in forming conservation strategies for L. auriculata in China. Nature Publishing Group UK 2017-12-11 /pmc/articles/PMC5725559/ /pubmed/29229912 http://dx.doi.org/10.1038/s41598-017-16917-x Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Geng, Qifang Sun, Lin Zhang, Peihua Wang, Zhongsheng Qiu, Yingxiong Liu, Hong Lian, Chunlan Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China |
title | Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China |
title_full | Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China |
title_fullStr | Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China |
title_full_unstemmed | Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China |
title_short | Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China |
title_sort | understanding population structure and historical demography of litsea auriculata (lauraceae), an endangered species in east china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725559/ https://www.ncbi.nlm.nih.gov/pubmed/29229912 http://dx.doi.org/10.1038/s41598-017-16917-x |
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