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Demographic history and local adaptation of Myripnois dioica (Asteraceae) provide insight on plant evolution in northern China flora

机译:人物历史和局部调整肌电肌二氧化碳(Asteraceae)在中国北方植物演变中提供了洞察力

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摘要

The flora of northern China forms the main part of the Sino‐Japanese floristic region and is located in a south–north vegetative transect in East Asia. Phylogeographic studies have demonstrated that an arid belt in this region has promoted divergence of plants in East Asia. However, little is known about how plants that are restricted to the arid belt of flora in northern China respond to climatic oscillation and environmental change. Here, we used genomic‐level data of Myripnois dioica across its distribution as a representative of northern China flora to reconstruct plant demographic history, examine local adaptation related to environmental disequilibrium, and investigate the factors related to effective population size change. Our results indicate M. dioica originated from the northern area and expanded to the southern area, with the Taihang Mountains serving as a physical barrier promoting population divergence. Genome‐wide evidence found strong correlation between genomic variation and environmental factors, specifically signatures associated with local adaptation to drought stress in heterogeneous environments. Multiple linear regression analyses revealed joint effects of population age, mean temperature of coldest quarter, and precipitation of wettest month on effective population size (Ne). Our current study uses M. dioica as a case for providing new insights into the evolutionary history and local adaptation of northern China flora and provides qualitative strategies for plant conservation.
机译:中国北方的植物群形成了中日植物区的主要部分,位于东亚的南北植物横断面。 Phylography研究表明,该地区的干旱带促进了东亚植物的差异。然而,关于如何在中国北方植物群的植物群体的植物知之甚少,应对气候振荡和环境变化。在这里,我们将Myripnois Dioica的基因组级数据分配作为中国北部植物群代表重建植物人口统计历史,检查与环境不平衡有关的本地适应,并调查与有效人口规模变化有关的因素。我们的结果表明,DIOICA起源于北方地区,扩大到南部地区,太空山作为促进人口分歧的物理障碍。基因组的证据发现基因组变异和环境因素之间的强烈相关性,特别是与局部适应在异构环境中的局部适应相关的签名。多元线性回归分析显示人口年龄,最冷的季度平均温度的关节效应,以及对有效人口大小(NE)的最潮湿月份的降水。我们目前的研究用M. Dioica以提供新的洞察力和当地适应中国北方植物群的案例,为植物保护提供了定性策略。

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