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从无创采集样本进行高效全基因组测序和低覆盖度家系分析。

Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples.

作者信息

Snyder-Mackler Noah, Majoros William H, Yuan Michael L, Shaver Amanda O, Gordon Jacob B, Kopp Gisela H, Schlebusch Stephen A, Wall Jeffrey D, Alberts Susan C, Mukherjee Sayan, Zhou Xiang, Tung Jenny

机构信息

Department of Evolutionary Anthropology, Duke University, Durham, North Carolina.

Graduate Program in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina.

出版信息

Genetics. 2016 Jun;203(2):699-714. doi: 10.1534/genetics.116.187492. Epub 2016 Apr 20.

Abstract

Research on the genetics of natural populations was revolutionized in the 1990s by methods for genotyping noninvasively collected samples. However, these methods have remained largely unchanged for the past 20 years and lag far behind the genomics era. To close this gap, here we report an optimized laboratory protocol for genome-wide capture of endogenous DNA from noninvasively collected samples, coupled with a novel computational approach to reconstruct pedigree links from the resulting low-coverage data. We validated both methods using fecal samples from 62 wild baboons, including 48 from an independently constructed extended pedigree. We enriched fecal-derived DNA samples up to 40-fold for endogenous baboon DNA and reconstructed near-perfect pedigree relationships even with extremely low-coverage sequencing. We anticipate that these methods will be broadly applicable to the many research systems for which only noninvasive samples are available. The lab protocol and software ("WHODAD") are freely available at www.tung-lab.org/protocols-and-software.html and www.xzlab.org/software.html, respectively.

摘要

20世纪90年代,对非侵入性采集样本进行基因分型的方法给自然种群遗传学研究带来了变革。然而,在过去20年里,这些方法基本没有变化,远远落后于基因组学时代。为了弥补这一差距,我们在此报告一种优化的实验室方案,用于从非侵入性采集的样本中全基因组捕获内源DNA,并结合一种新颖的计算方法,从所得的低覆盖度数据中重建谱系联系。我们使用62只野生狒狒的粪便样本对这两种方法进行了验证,其中48只来自一个独立构建的扩展谱系。我们将粪便来源的DNA样本中内源狒狒DNA富集了40倍,即使在极低覆盖度测序的情况下也重建了近乎完美的谱系关系。我们预计这些方法将广泛适用于许多只能获取非侵入性样本的研究系统。实验室方案和软件(“WHODAD”)分别可在www.tung-lab.org/protocols-and-software.html和www.xzlab.org/software.html上免费获取。

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