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下一代群体遗传学:在棘鲷中实施群体遗传学的高通量方法() 。 (注:原文括号部分为空,翻译时保留原样)

Next Gen Pop Gen: implementing a high-throughput approach to population genetics in boarfish ().

作者信息

Farrell Edward D, Carlsson Jeanette E L, Carlsson Jens

机构信息

Area 52 Research Group, School of Biology and Environmental Science/Earth Institute , University College Dublin, Belfield , Dublin 4 , Republic of Ireland.

出版信息

R Soc Open Sci. 2016 Dec 14;3(12):160651. doi: 10.1098/rsos.160651. eCollection 2016 Dec.

DOI:10.1098/rsos.160651
PMID:28083107
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5210689/
Abstract

The recently developed approach for microsatellite genotyping by sequencing (GBS) using individual combinatorial barcoding was further improved and used to assess the genetic population structure of boarfish () across the species' range. Microsatellite loci were developed de novo and genotyped by next-generation sequencing. Genetic analyses of the samples indicated that boarfish can be subdivided into at least seven biological units (populations) across the species' range. Furthermore, the recent apparent increase in abundance in the northeast Atlantic is better explained by demographic changes within this area than by influx from southern or insular populations. This study clearly shows that the microsatellite GBS approach is a generic, cost-effective, rapid and powerful method suitable for full-scale population genetic studies-a crucial element for assessment, sustainable management and conservation of valuable biological resources.

摘要

最近开发的使用个体组合条形码进行微卫星基因分型测序(GBS)的方法得到了进一步改进,并用于评估整个物种分布范围内的棘胸鱼()的遗传种群结构。微卫星位点是从头开发的,并通过下一代测序进行基因分型。对样本的遗传分析表明,棘胸鱼在整个物种分布范围内可细分为至少七个生物学单元(种群)。此外,东北大西洋近期明显的丰度增加,用该区域内的人口结构变化来解释比用来自南部或岛屿种群的流入来解释更好。这项研究清楚地表明,微卫星GBS方法是一种通用、经济高效、快速且强大的方法,适用于全面的种群遗传学研究——这是评估、可持续管理和保护宝贵生物资源的关键要素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/f9fd623a1085/rsos160651-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/a6e2ad8cd917/rsos160651-g1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/928f4c4daf59/rsos160651-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/a72bb28c2d56/rsos160651-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/f9fd623a1085/rsos160651-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/a6e2ad8cd917/rsos160651-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/6546b2fb8fce/rsos160651-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/928f4c4daf59/rsos160651-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/a72bb28c2d56/rsos160651-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8782/5210689/f9fd623a1085/rsos160651-g5.jpg

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