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Patterns of Population Structure and Environmental Associations to Aridity Across the Range of Loblolly Pine (Pinus taeda L. Pinaceae)

机译:火炬松(Pinus taeda L.Pinaceae)范围内的干旱与人口结构和环境关联的格局

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摘要

Natural populations of forest trees exhibit striking phenotypic adaptations to diverse environmental gradients, thereby making them appealing subjects for the study of genes underlying ecologically relevant phenotypes. Here, we use a genome-wide data set of single nucleotide polymorphisms genotyped across 3059 functional genes to study patterns of population structure and identify loci associated with aridity across the natural range of loblolly pine (Pinus taeda L.). Overall patterns of population structure, as inferred using principal components and Bayesian cluster analyses, were consistent with three genetic clusters likely resulting from expansions out of Pleistocene refugia located in Mexico and Florida. A novel application of association analysis, which removes the confounding effects of shared ancestry on correlations between genetic and environmental variation, identified five loci correlated with aridity. These loci were primarily involved with abiotic stress response to temperature and drought. A unique set of 24 loci was identified as FST outliers on the basis of the genetic clusters identified previously and after accounting for expansions out of Pleistocene refugia. These loci were involved with a diversity of physiological processes. Identification of nonoverlapping sets of loci highlights the fundamental differences implicit in the use of either method and suggests a pluralistic, yet complementary, approach to the identification of genes underlying ecologically relevant phenotypes.
机译:林木的自然种群对不同的环境梯度表现出惊人的表型适应性,因此使其成为研究与生态相关的表型基础的基因的主题。在这里,我们使用跨3059个功能基因进行基因分型的单核苷酸多态性的全基因组数据集来研究种群结构的模式,并在火炬松(Pinus taeda L.)的自然范围内鉴定与干旱相关的基因座。使用主成分和贝叶斯聚类分析推断出的总体人口结构模式与三个遗传簇相一致,这可能是由于位于墨西哥和佛罗里达的更新世避难所的扩展所致。关联分析的一种新应用消除了共有祖先对遗传和环境变异之间的关联造成的混淆影响,确定了五个与干旱相关的基因座。这些基因座主要涉及对温度和干旱的非生物胁迫响应。根据先前确定的遗传簇,并考虑到更新世避难所的扩展,将一组独特的24个基因座鉴定为FST异常值。这些基因座涉及多种生理过程。不重叠基因座集的识别突出了使用这两种方法所隐含的基本差异,并提出了一种多元化但互补的方法来识别与生态相关的表型基础的基因。

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