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利用高通量测序为濒危物种水杉(柏科)开发的 28 个新微卫星位点。

Novel 28 microsatellite loci using high-throughput sequencing for an endangered species on Metasequoia glyptostroboides (Cupressaceae).

机构信息

Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Laboratory for Urban Ecology and Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.

Institute of Eco-Chongming (IEC), Shanghai, 200062, China.

出版信息

Mol Biol Rep. 2020 Apr;47(4):2991-2996. doi: 10.1007/s11033-020-05303-y. Epub 2020 Feb 8.

DOI:10.1007/s11033-020-05303-y
PMID:32036571
Abstract

Metasequoia glyptostroboides is a living fossil and an endangered species listed in the International Union for Conservation of Nature (IUCN). Distinguishing the genotypes of all wild individuals of M. glyptostroboides is important to delimit management units and key germplasm resources. We characterized 28 novel polymorphic microsatellite loci using a streptavidin-biotin microsatellite-enriched library and Illumina high-throughput sequencing. Characteristics of each locus were tested using 140 individuals collected from five natural populations of M. glyptostroboides. The number of alleles per locus ranged from 3 to 20, with a mean number of about 8 alleles. The observed and expected heterozygosities in each population ranged from 0.0000 to 1.0000 and from 0.0000 to 0.8958, respectively. Four to nine loci were cross-amplified successfully in seven species of Cupressaceae. The novel SSR markers will provide a toolkit for DNA identification of all of the extant wild individuals guiding further conservation efforts of M. glyptostroboides.

摘要

水杉是一种活化石,也是国际自然保护联盟(IUCN)列出的濒危物种。区分所有野生水杉个体的基因型对于划定管理单位和关键种质资源非常重要。我们使用链霉亲和素-生物素微卫星富集文库和 Illumina 高通量测序,从水杉的五个自然种群中,鉴定出了 28 个新的多态性微卫星位点。利用来自五个水杉自然种群的 140 个个体对每个位点的特征进行了测试。每个位点的等位基因数范围从 3 到 20,平均约为 8 个等位基因。每个种群的观察和预期杂合度分别从 0.0000 到 1.0000 和从 0.0000 到 0.8958 不等。在七个柏科物种中,成功地交叉扩增了 4 到 9 个位点。这些新的 SSR 标记将为所有现存野生个体的 DNA 鉴定提供一个工具包,指导进一步保护水杉的努力。

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本文引用的文献

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Appl Plant Sci. 2015 Sep 11;3(9). doi: 10.3732/apps.1500038. eCollection 2015 Sep.
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