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中国野生动物遗传与系统发育多样性的空间格局及保护

Spatial patterns and conservation of genetic and phylogenetic diversity of wildlife in China.

作者信息

Hu Yibo, Fan Huizhong, Chen Youhua, Chang Jiang, Zhan Xiangjiang, Wu Hua, Zhang Baowei, Wang Meng, Zhang Wenyan, Yang Lin, Hou Xian, Shen Xing, Pan Tao, Wu Wei, Li Jun, Hu Haihua, Wei Fuwen

机构信息

CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.

University of Chinese Academy of Sciences, Beijing, China.

出版信息

Sci Adv. 2021 Jan 22;7(4). doi: 10.1126/sciadv.abd5725. Print 2021 Jan.

Abstract

Genetic diversity and phylogenetic diversity reflect the evolutionary potential and history of species, respectively. However, the levels and spatial patterns of genetic and phylogenetic diversity of wildlife at the regional scale have largely remained unclear. Here, we performed meta-analyses of genetic diversity in Chinese terrestrial vertebrates based on three genetic markers and investigated their phylogenetic diversity based on a dated phylogenetic tree of 2461 species. We detected strong positive spatial correlations among mitochondrial DNA-based genetic diversity, phylogenetic diversity, and species richness. Moreover, the terrestrial vertebrates harbored higher genetic and phylogenetic diversity in South China and Southwest China than in other regions. Last, climatic factors (precipitation and temperature) had significant positive effects while altitude and human population density had significant negative impacts on levels of mitochondrial DNA-based genetic diversity in most cases. Our findings will help guide national-level genetic diversity conservation plans and a post-2020 biodiversity conservation framework.

摘要

遗传多样性和系统发育多样性分别反映了物种的进化潜力和历史。然而,区域尺度上野生动物遗传和系统发育多样性的水平及空间格局在很大程度上仍不清楚。在此,我们基于三种遗传标记对中国陆生脊椎动物的遗传多样性进行了荟萃分析,并基于2461个物种的时间标定系统发育树研究了它们的系统发育多样性。我们检测到基于线粒体DNA的遗传多样性、系统发育多样性和物种丰富度之间存在强烈的正空间相关性。此外,中国南方和西南地区的陆生脊椎动物比其他地区具有更高的遗传和系统发育多样性。最后,在大多数情况下,气候因素(降水和温度)具有显著的正向影响,而海拔和人口密度对基于线粒体DNA的遗传多样性水平具有显著的负向影响。我们的研究结果将有助于指导国家级遗传多样性保护计划以及2020年后的生物多样性保护框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c48/10671236/2581f9f84311/abd5725-F1.jpg

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