沿海拔梯度的杜鹃花遗传变异和种群结构:喜马拉雅山案例研究

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
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引用次数: 0

摘要

摘要 像喜马拉雅山这样的高海拔地区,在极小的空间范围内存在各种坡度,是研究遗传多样性和种群结构如何在海拔梯度上分布的最佳天然实验室之一。在本研究中,我们研究了克什米尔喜马拉雅山脉杜鹃花(Rhododendron anthopogon D.Don)在海拔梯度上的遗传多样性和种群结构。我们使用起始密码子目标(SCoT)标记评估了海拔梯度从 3200 米到 4000 米的五个地点不同种群之间的遗传多样性和分化情况。我们的研究结果表明,沿海拔梯度,R. anthopogon种群之间的遗传多样性程度不同。我们观察到,从站点-1到站点-3(海拔3200米至3600米),遗传多样性随着海拔的升高呈下降趋势;而从站点-4到站点-5(海拔3601米至4000米),遗传多样性呈上升趋势。此外,我们还观察到高海拔地区(地点-5)的遗传多样性最高,而中海拔地区(地点-3)的遗传多样性最低。我们的研究结果表明,种群间遗传分化程度高(Gst = 0.7349),基因流动程度低(Nm = 0.1804)。分子方差分析(AMOVA)显示,种群间的变异率为 71%,种群内的变异率为 29%。我们还揭示了地理和遗传距离之间的正相关,表明所有海拔高度上的隔离都是由距离效应造成的。STRUCTURE 和聚类分析根据地理位置将所有蚁蝼种群分为五个聚类。总之,这项研究使我们进一步认识到,海拔高度是蚁龙种群间遗传变异和分化的主要驱动因素,这可能有助于在当前预测的气候变化中扩大蚁龙的分布范围。我们的研究还发现,海拔较高的种群在遗传上并不孤立,这表明它们可能是气候变化时代迁徙的重要来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Variation and Population Structure of Rhododendron anthopogon Along an Altitudinal Gradient: A Case Study from Himalaya

Abstract

High-altitude regions like the Himalaya, where various slopes are present on a very small spatial scale, are one of the best natural laboratories for investigating how genetic diversity and population structure are distributed across altitudinal gradients. In this study, we investigate the magnitude of genetic diversity and population structure of Rhododendron anthopogon D.Don along an altitudinal gradient in the Kashmir Himalaya. We used the start codon targeted (SCoT) marker to evaluate the genetic diversity and differentiation between different populations across five sites along an altitudinal gradient ranging from 3200 to 4000 m (amsl). Our results demonstrate that the magnitude of genetic diversity differs among the populations of R. anthopogon along the altitudinal gradient. We observed a decreasing trend in genetic diversity with increasing altitude from site-1 to site-3 (3200 to 3600 m), and an increasing trend from site-4 to site-5 (3601 to 4000 m). Furthermore, we also observed the highest genetic diversity at upper altitude (site-5) and the lowest at mid-altitude (site-3). Our results reveal a high genetic differentiation (Gst = 0.7349) and a low gene flow (Nm = 0.1804) among the populations. Analysis of molecular variance (AMOVA) reveals 71% variation among the populations and 29% variation within the populations. We also reveal positive associations between geographic and genetic distances, indicating isolation by distance effect across all altitudes. STRUCTURE and cluster analysis divided all the populations of R. anthopogon into five clusters according to their geographical location. Overall, the study adds to our understanding that altitude is the major driver of genetic variation and differentiation between populations of R. anthopogon which may help increase its range under ongoing projected climate change. Our study also reveals that populations at higher altitudes are not genetically isolated, suggesting that they might be an essential source for migration in the era of climate change.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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