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Genome scans for divergent selection in natural populations of the widespread hardwood species Eucalyptus grandis (Myrtaceae) using microsatellites

机译:基因组扫描使用微卫星在广泛的硬木树种桉树(桃金娘科)的自然种群中进行差异选择

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摘要

Identification of loci or genes under natural selection is important for both understanding the genetic basis of local adaptation and practical applications, and genome scans provide a powerful means for such identification purposes. In this study, genome-wide simple sequence repeats markers (SSRs) were used to scan for molecular footprints of divergent selection in Eucalyptus grandis, a hardwood species occurring widely in costal areas from 32° S to 16° S in Australia. High population diversity levels and weak population structure were detected with putatively neutral genomic SSRs. Using three FST outlier detection methods, a total of 58 outlying SSRs were collectively identified as loci under divergent selection against three non-correlated climatic variables, namely, mean annual temperature, isothermality and annual precipitation. Using a spatial analysis method, nine significant associations were revealed between FST outlier allele frequencies and climatic variables, involving seven alleles from five SSR loci. Of the five significant SSRs, two (EUCeSSR1044 and Embra394) contained alleles of putative genes with known functional importance for response to climatic factors. Our study presents critical information on the population diversity and structure of the important woody species E. grandis and provides insight into the adaptive responses of perennial trees to climatic variations.
机译:在自然选择下鉴定基因座或基因对于理解局部适应的遗传基础和实际应用都非常重要,而基因组扫描为这种鉴定目的提供了有力的手段。在这项研究中,全基因组简单序列重复标记(SSR)用于扫描桉树(Eucalyptus grandis)(澳大利亚32°S至16°S沿海地区广泛存在的阔叶树种)中不同选择的分子足迹。使用推定的中性基因组SSR检测到高种群多样性水平和弱种群结构。使用三种FST离群值检测方法,根据平均年温度,等温度和年降水量这三个不相关的气候变量,在发散选择下,总共确定了58个外围SSR。使用空间分析方法,揭示了FST离群等位基因频率与气候变量之间的九个重要关联,涉及来自五个SSR基因座的七个等位基因。在五个重要的SSR中,两个(EUCeSSR1044和Embra394)包含推定基因的等位基因,这些基因具有已知的对气候因素的响应的重要功能。我们的研究提出了重要的木本物种大叶桉的种群多样性和结构的关键信息,并提供了对多年生树木对气候变化的适应性反应的见识。

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