Universidad Rey Juan Carlos, C\Tulipán SN 28933 Móstoles, Madrid, Spain.
Am J Bot. 2013 Aug;100(8):1641-50. doi: 10.3732/ajb.1200653. Epub 2013 Jul 15.
Mountain plants are among the species most vulnerable to global warming, because of their isolation, narrow geographic distribution, and limited geographic range shifts. Stochastic and selective processes can act on the genome, modulating genetic structure and diversity. Fragmentation and historical processes also have a great influence on current genetic patterns, but the spatial and temporal contexts of these processes are poorly known. We aimed to evaluate the microevolutionary processes that may have taken place in Mediterranean high-mountain plants in response to changing historical environmental conditions.
Genetic structure, diversity, and loci under selection were analyzed using AFLP markers in 17 populations distributed over the whole geographic range of Armeria caespitosa, an endemic plant that inhabits isolated mountains (Sierra de Guadarrama, Spain). Differences in altitude, geographic location, and climate conditions were considered in the analyses, because they may play an important role in selective and stochastic processes.
Bayesian clustering approaches identified nine genetic groups, although some discrepancies in assignment were found between alternative analyses. Spatially explicit analyses showed a weak relationship between genetic parameters and spatial or environmental distances. However, a large proportion of outlier loci were detected, and some outliers were related to environmental variables.
A. caespitosa populations exhibit spatial patterns of genetic structure that cannot be explained by the isolation-by-distance model. Shifts along the altitude gradient in response to Pleistocene climatic oscillations and environmentally mediated selective forces might explain the resulting structure and genetic diversity values found.
由于地理位置偏远、分布范围狭窄且地理分布范围有限,高山植物是最容易受到全球变暖影响的物种之一。随机和选择过程可以作用于基因组,调节遗传结构和多样性。片段化和历史进程也对当前的遗传模式有很大的影响,但这些过程的时空背景知之甚少。我们旨在评估地中海高山植物可能发生的微进化过程,以应对不断变化的历史环境条件。
使用 AFLP 标记对分布于整个 Armeria caespitosa 地理范围的 17 个种群进行遗传结构、多样性和受选择的基因座分析,Armeria caespitosa 是一种特有植物,栖息在孤立的山脉(西班牙瓜达拉马山脉)上。分析中考虑了海拔、地理位置和气候条件的差异,因为它们在选择和随机过程中可能发挥重要作用。
贝叶斯聚类方法确定了 9 个遗传群体,尽管在替代分析之间发现了一些分配上的差异。空间显式分析显示遗传参数与空间或环境距离之间的关系较弱。然而,检测到大量的异常基因座,并且一些异常基因座与环境变量有关。
A. caespitosa 种群表现出遗传结构的空间模式,无法用距离隔离模型来解释。对更新世气候波动和环境介导的选择压力沿海拔梯度的变化可能解释了所发现的结构和遗传多样性值。