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结合新一代测序技术与在线数据库用于非模式生物的微卫星开发。

Combining next-generation sequencing and online databases for microsatellite development in non-model organisms.

作者信息

Rico Ciro, Normandeau Eric, Dion-Côté Anne-Marie, Rico María Inés, Côté Guillaume, Bernatchez Louis

机构信息

1] Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (EBD, CSIC), C/Américo Vespucio s/n, 41092 Sevilla, Spain [2] School of Marine Studies, University of the South Pacific, Lower Laucala Campus, Suva, Fiji Islands [3] Institut de Biologie Intégrative et des Systèmes (IBIS), Département de Biologie, Université Laval, Pavillon Charles-Eugène-Marchand, Québec G1V 0A6, Canada.

出版信息

Sci Rep. 2013 Dec 3;3:3376. doi: 10.1038/srep03376.

Abstract

Next-generation sequencing (NGS) is revolutionising marker development and the rapidly increasing amount of transcriptomes published across a wide variety of taxa is providing valuable sequence databases for the identification of genetic markers without the need to generate new sequences. Microsatellites are still the most important source of polymorphic markers in ecology and evolution. Motivated by our long-term interest in the adaptive radiation of a non-model species complex of whitefishes (Coregonus spp.), in this study, we focus on microsatellite characterisation and multiplex optimisation using transcriptome sequences generated by Illumina® and Roche-454, as well as online databases of Expressed Sequence Tags (EST) for the study of whitefish evolution and demographic history. We identified and optimised 40 polymorphic loci in multiplex PCR reactions and validated the robustness of our analyses by testing several population genetics and phylogeographic predictions using 494 fish from five lakes and 2 distinct ecotypes.

摘要

新一代测序(NGS)正在彻底改变分子标记的开发,并且跨多种分类群发表的转录组数量迅速增加,这为鉴定遗传标记提供了宝贵的序列数据库,而无需生成新的序列。微卫星仍然是生态学和进化研究中多态性标记的最重要来源。出于我们对白鲑(Coregonus spp.)这一非模式物种复合体适应性辐射的长期兴趣,在本研究中,我们专注于使用Illumina®和Roche-454生成的转录组序列以及表达序列标签(EST)在线数据库来进行微卫星特征分析和多重PCR优化,以研究白鲑的进化和种群历史。我们在多重PCR反应中鉴定并优化了40个多态性位点,并通过使用来自五个湖泊的494条鱼和2种不同生态型测试了几种群体遗传学和系统地理学预测来验证我们分析结果的稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438c/3847856/0a93ecf0de4d/srep03376-f1.jpg

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