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Identifying hybridization and admixture using SNPs: Application of the DArTseq platforminphylogeographic research on vertebrates

机译:使用SNPs鉴定杂交和混合:DArTseq平台在脊椎动物的地理学研究中的应用

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摘要

Next-generation sequencing (NGS) approaches are increasingly being used to generate multi-locus data for phylogeographic and evolutionary genetics research. We detail the applicability of a restriction enzyme-mediated genome complexity reduction approach with subsequent NGS (DArTseq) in vertebrate study systems at different evolutionary and geographical scales. We present two case studies using SNP data from the DArTseq molecular marker platform. First, we used DArTseq in a large phylogeographic study of the agamid lizard Ctenophorus caudicinctus, including 91 individuals and spanning the geographical range of this species across arid Australia. A low-density DArTseq assay resulted in 28 960 SNPs, with low density referring to a comparably reduced set of identified and sequenced markers as a cost-effective approach. Second, we applied this approach to an evolutionary genetics study of a classic frog hybrid zone (Litoria ewingii–Litoria paraewingi) across 93 individuals, which resulted in 48 117 and 67 060 SNPs for a low- and high-density assay, respectively. We provide a docker-based workflow to facilitate data preparation and analysis, then analyse SNP data using multiple methods including Bayesian model-based clustering and conditional likelihood approaches. Based on comparison of results from the DArTseq platform and traditional molecular approaches, we conclude that DArTseq can be used successfully in vertebrates and will be of particular interest to researchers working at the interface between population genetics and phylogenetics, exploring species boundaries, gene exchange and hybridization. © 2017 The Authors.
机译:下一代测序(NGS)方法正越来越多地用于为植物地理学和进化遗传学研究生成多基因座数据。我们详细介绍了限制酶介导的基因组复杂性降低方法与随后的NGS(DArTseq)在不同进化和地理规模的脊椎动物研究系统中的适用性。我们目前使用来自DArTseq分子标记平台的SNP数据进行两个案例研究。首先,我们在对蜥蜴蜥蜴Ctenophorus caudicinctus的大型系统地理学研究中使用了DArTseq,其中包括91个个体,并横跨澳大利亚整个干旱地区的该物种的地理范围。低密度DArTseq分析可产生28 960个SNP,低密度是指成本和成本相对较低的一组鉴定和测序标记。其次,我们将这种方法应用于跨越93个个体的经典青蛙杂交区(Litoria ewingii–Litoria paraewingi)的进化遗传学研究,从而分别进行了低密度和高密度测定的48 117和67 060 SNP。我们提供了一个基于docker的工作流,以方便数据准备和分析,然后使用多种方法来分析SNP数据,包括基于贝叶斯模型的聚类和条件似然方法。根据DArTseq平台和传统分子方法的结果比较,我们得出结论,DArTseq可以成功地用于脊椎动物,并且对于研究种群遗传学和系统发育学,探索物种边界,基因交换和杂交的研究人员特别感兴趣。 ©2017作者。

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