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使用目标基因捕获数据的 C. melanopterus 群体基因组学:人口推断和保护观点。

Population genomics of C. melanopterus using target gene capture data: demographic inferences and conservation perspectives.

机构信息

Institut de Systématique, Évolution, Biodiversité, ISYEB-UMR 7205-CNRS, MNHN, UPMC, EPHE, Ecole Pratique des Hautes Etudes, 16 rue Buffon, CP39, 75005, Paris, France.

EPHE, PSL Research University, Paris, France.

出版信息

Sci Rep. 2016 Sep 21;6:33753. doi: 10.1038/srep33753.

Abstract

Population genetics studies on non-model organisms typically involve sampling few markers from multiple individuals. Next-generation sequencing approaches open up the possibility of sampling many more markers from fewer individuals to address the same questions. Here, we applied a target gene capture method to deep sequence ~1000 independent autosomal regions of a non-model organism, the blacktip reef shark (Carcharhinus melanopterus). We devised a sampling scheme based on the predictions of theoretical studies of metapopulations to show that sampling few individuals, but many loci, can be extremely informative to reconstruct the evolutionary history of species. We collected data from a single deme (SID) from Northern Australia and from a scattered sampling representing various locations throughout the Indian Ocean (SCD). We explored the genealogical signature of population dynamics detected from both sampling schemes using an ABC algorithm. We then contrasted these results with those obtained by fitting the data to a non-equilibrium finite island model. Both approaches supported an Nm value ~40, consistent with philopatry in this species. Finally, we demonstrate through simulation that metapopulations exhibit greater resilience to recent changes in effective size compared to unstructured populations. We propose an empirical approach to detect recent bottlenecks based on our sampling scheme.

摘要

对非模式生物的群体遗传学研究通常涉及从多个个体中采样少数标记。下一代测序方法开辟了从少数个体中采样更多标记的可能性,以解决相同的问题。在这里,我们应用了一种靶向基因捕获方法,对非模式生物黑鳍礁鲨(Carcharhinus melanopterus)的 1000 多个独立常染色体区域进行了深度测序。我们根据关于集合种群的理论研究的预测设计了一种采样方案,以表明从少数个体中采样但具有许多基因座可以非常有助于重建物种的进化历史。我们从澳大利亚北部的一个单一居群(SID)和代表印度洋各地不同地点的分散采样(SCD)中收集数据。我们使用 ABC 算法探索了从这两种采样方案中检测到的种群动态的系统发育特征。然后,我们将这些结果与通过将数据拟合到非平衡有限岛屿模型获得的结果进行了对比。这两种方法都支持 Nm 值约为 40,这与该物种的恋地性一致。最后,我们通过模拟表明,与非结构化种群相比,集合种群对有效种群大小的近期变化表现出更强的恢复力。我们提出了一种基于我们的采样方案来检测近期瓶颈的经验方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5ce/5030670/546c5f886f95/srep33753-f1.jpg

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