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通过对非侵入性样本进行扩增子测序,在濒危的南美泽鹿(Blastocerus dichotomus)中检测到低STR变异性。

Low STR variability in the threatened marsh deer, Blastocerus dichotomus, detected through amplicon sequencing in non-invasive samples.

作者信息

Wolfenson Laura Irene, McCracken Gregory R, Ruzzante Daniel E, Mirol Patricia, Solé-Cava Antonio

机构信息

Museo Argentino de Ciencias Naturales, "Bernardino Rivadavia", División de Mastozoología, Ciudad Autónoma de Buenos Aires, Argentina.

Dalhousie University, Department of Biology, Halifax, Nova Scotia, Canada.

出版信息

Genet Mol Biol. 2022 Oct 24;45(4):e20220105. doi: 10.1590/1678-4685-GMB-2022-0105. eCollection 2022.

Abstract

Blastocerus dichotomus is the largest deer in South America. We have used 25 microsatellite markers detected and genotyped by Next Generation Sequencing to estimate the genetic variability of B. dichotomus in Argentina, where most of its populations are threatened. Primer design was based on the sequence of a shallow partial genome (15,967,456 reads; 16.66% genome coverage, mean depth 1.64) of a single individual. From the thousands of microsatellite loci found, even under high stringency selection, we chose and tested a set of 80 markers on 30 DNA samples extracted from tissue and feces from three Argentinean populations. Heterozygosity levels were low across all loci in all populations (H=0.31 to 0.40). Amplicon sequencing is a fast, easy, and affordable technique that can be very useful for the characterization of microsatellite marker sets for the conservation genetics of non-model organisms. This work is also one of the first ones to use amplicon sequencing in non-invasive samples and represents an important development for the study of threatened species.

摘要

南美泽鹿是南美洲最大的鹿。我们使用了通过下一代测序检测和基因分型的25个微卫星标记,来估计阿根廷境内南美泽鹿的遗传变异性,该国境内的大多数南美泽鹿种群都受到威胁。引物设计基于单个个体的浅层部分基因组序列(15,967,456条 reads;基因组覆盖率16.66%,平均深度1.64)。从发现的数千个微卫星位点中,即使在高严格度选择下,我们从三个阿根廷种群的组织和粪便中提取的30个DNA样本上选择并测试了一组80个标记。所有种群中所有位点的杂合度水平都很低(H = 0.31至0.40)。扩增子测序是一种快速、简便且经济实惠的技术,对于非模式生物保护遗传学的微卫星标记集表征非常有用。这项工作也是最早在非侵入性样本中使用扩增子测序的工作之一,代表了受威胁物种研究的一项重要进展。

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本文引用的文献

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megasat: automated inference of microsatellite genotypes from sequence data.Megasat:从序列数据自动推断微卫星基因型
Mol Ecol Resour. 2017 Mar;17(2):247-256. doi: 10.1111/1755-0998.12561. Epub 2016 Jul 19.

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