文献类型：期刊文献

英文题名：Geographic isolation and environmental heterogeneity shape population genetic differentiation of a medicinal plant, amla (Phyllanthus emblica L.) in river valleys of Yunnan, China

作者：Wang, Cai-yun[1] Huang, Jia-cong[2] Yin, Ming-yu[1] Hu, Hong-jiang[1] Yang, Yan-ping[2] Guo, Jun-jie[1] Zeng, Jie[1]

通信作者：Guo, JJ[1]

机构：[1]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou, Guangdong, Peoples R China;[2]Forestry & Grassland Tech Promot Stn Baoshan City, Baoshan, Yunnan, Peoples R China

年份：2025

卷号：16

外文期刊名：FRONTIERS IN PLANT SCIENCE

收录：;Scopus(收录号：2-s2.0-105016811775);WOS:【SCI-EXPANDED(收录号:WOS:001577237600001)】；

基金：The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by the Fundamental Research Funds for the Central Non-profit Research Institution of CAF (CAFYBB2020ZB003 and CAFYBB2020SY019) and "Yunling Industrial Technology Leading Talents" Training Fund of Yunnan Province (2015-30).

语种：英文

外文关键词：Phyllanthus emblica; SSR; genetic diversity; environmental factors; geographic isolation

摘要：The diverse topographies of high mountains and deep river valleys in Yunnan, China create geographic and environmental barriers that promote intraspecific genetic differentiation. This study employed amla (Phyllanthus emblica L.) to reveal the effects of geographic and environmental isolation on genetic differentiation of plant species. We sampled 18 natural P. emblica populations from upstream to downstream in the Longchuan, Nu, Lancang, Yuanjiang and Jinsha Rivers valleys (three or four per valley) in 2017. Genetic diversity and structure of P. emblica were assessed across these populations using 16 SSR loci developed, and analyzed with GenAlEx, ATetra, and STRUCTURE software packages. Ecological niche modeling (MaxEnt) estimated its historical and contemporary potential geographic distribution patterns, and redundancy analysis (RDA) identified key environmental factors influencing genetic diversity. P. emblica exhibited high genetic diversity, primarily influenced by mean temperature of the warmest quarter (Bio10) and precipitation of the warmest quarter (Bio18). STRUCTURE analysis revealed a distinct division of these populations into western and eastern groups, closely aligned with the Tanaka-Kaiyong Line. Significant genetic differentiation existed between the western and eastern populations, and suggesting that long-term geographic isolation and environmental heterogeneity promote genetic differentiation and local adaptation of this species. MaxEnt modelling indicated a significant expansion in the potential habitat of P. emblica from the Last Glacial Maximum (LGM) to the present, likely due to climate warming. Our findings provide evidence for genetic differentiation in P. emblica driven by geographical and environmental isolation, and offer critical insights into developing effective conservation and utilization strategies for its genetic resources.