We present DILS, a deployable statistical analysis platform for conducting demographic inferences with linked selection from population genomic data using an Approximate Bayesian Computation framework. DILS takes as input single-population or two-population data sets (multilocus fasta sequences) and performs three types of analyses in a hierarchical manner, identifying: (a) the best demographic model to study the importance of gene flow and population size change on the genetic patterns of polymorphism and divergence, (b) the best genomic model to determine whether the effective size Ne and migration rate N, m are heterogeneously distributed along the genome (implying linked selection) and (c) loci in genomic regions most associated with barriers to gene flow. Also available via a Web interface, an objective of DILS is to facilitate collaborative research in speciation genomics. Here, we show the performance and limitations of DILS by using simulations and finally apply the method to published data on a divergence continuum composed by 28 pairs of Mytilus mussel populations/species.

中文翻译：

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DILS：使用 ABC 进行链接选择的人口统计推断

我们提出了 DILS，这是一个可部署的统计分析平台，用于使用近似贝叶斯计算框架从人口基因组数据中进行关联选择进行人口统计推断。DILS 将单个种群或两个种群的数据集（多位点 fasta 序列）作为输入，并以分层方式执行三种类型的分析，确定：（a）研究基因流和种群规模变化重要性的最佳人口模型多态性和发散性的遗传模式，(b) 确定有效大小Ne和迁移率N , m的最佳基因组模型沿着基因组异质分布（暗示连锁选择）和（c）基因组区域中与基因流动障碍最相关的基因座。也可通过 Web 界面访问，DILS 的目标是促进物种形成基因组学的合作研究。在这里，我们通过模拟显示DILS的性能和局限性，最后将该方法应用到公布的数据上的28对组成的发散连续紫贻贝种群/物种。