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一统面板:DArTcap 基因分型用于群体结构、历史人口动态和亲缘关系分析,及其在濒危鲨鱼中的应用。

One panel to rule them all: DArTcap genotyping for population structure, historical demography, and kinship analyses, and its application to a threatened shark.

机构信息

CSIRO Oceans and Atmosphere, Hobart, TAS, Australia.

School of Natural Sciences - Quantitative Marine Science, University of Tasmania, Hobart, TAS, Australia.

出版信息

Mol Ecol Resour. 2020 Nov;20(6):1470-1485. doi: 10.1111/1755-0998.13204. Epub 2020 Jul 13.

Abstract

With recent advances in sequencing technology, genomic data are changing how important conservation management decisions are made. Applications such as Close-Kin Mark-Recapture demand large amounts of data to estimate population size and structure, and their full potential can only be realised through ongoing improvements in genotyping strategies. Here we introduce DArTcap, a cost-efficient method that combines DArTseq and sequence capture, and illustrate its use in a high resolution population analysis of Glyphis garricki, a rare, poorly known and threatened euryhaline shark. Clustering analyses and spatial distribution of kin pairs from four different regions across northern Australia and one in Papua New Guinea, representing its entire known range, revealed that each region hosts at least one distinct population. Further structuring is likely within Van Diemen Gulf, the region that included the most rivers sampled, suggesting additional population structuring would be found if other rivers were sampled. Coalescent analyses and spatially explicit modelling suggest that G. garricki experienced a recent range expansion during the opening of the Gulf of Carpentaria following the conclusion of the Last Glacial Maximum. The low migration rates between neighbouring populations of a species that is found only in restricted coastal and riverine habitats show the importance of managing each population separately, including careful monitoring of local and remote anthropogenic activities that may affect their environments. Overall we demonstrated how a carefully chosen SNP panel combined with DArTcap can provide highly accurate kinship inference and also support population structure and historical demography analyses, therefore maximising cost-effectiveness.

摘要

随着测序技术的最新进展,基因组数据正在改变重要的保护管理决策的制定方式。近亲标记重捕等应用程序需要大量的数据来估计种群规模和结构,只有通过不断改进基因分型策略,才能充分发挥其潜力。在这里,我们介绍了 DArTcap,这是一种具有成本效益的方法,结合了 DArTseq 和序列捕获,并举例说明了它在稀有、知之甚少且受到威胁的宽吻海豚 Glyphis garricki 的高分辨率种群分析中的应用。聚类分析和来自澳大利亚北部四个不同地区和巴布亚新几内亚一个地区的亲缘关系对的空间分布,代表了其全部已知范围,表明每个地区至少有一个独特的种群。在包括采样河流最多的范迪门湾内可能存在进一步的结构,这表明如果对其他河流进行采样,可能会发现更多的种群结构。合并分析和空间显式建模表明,在末次冰期结束后,卡奔塔利亚湾开放期间,宽吻海豚经历了一次最近的范围扩张。在只存在于有限的沿海和河流栖息地的物种中,相邻种群之间的低迁移率表明,分别管理每个种群很重要,包括仔细监测可能影响其环境的当地和远程人为活动。总的来说,我们展示了如何通过精心选择的 SNP 面板结合 DArTcap 来提供高度准确的亲缘关系推断,同时支持种群结构和历史人口动态分析,从而最大限度地提高成本效益。

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