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整合转录组、基因组和数量性状基因座资源鉴定大菱鲆生长性状候选基因中的单核苷酸多态性

Integrative Transcriptome, Genome and Quantitative Trait Loci Resources Identify Single Nucleotide Polymorphisms in Candidate Genes for Growth Traits in Turbot.

作者信息

Robledo Diego, Fernández Carlos, Hermida Miguel, Sciara Andrés, Álvarez-Dios José Antonio, Cabaleiro Santiago, Caamaño Rubén, Martínez Paulino, Bouza Carmen

机构信息

Departamento de Xenética, Facultade de Bioloxía (CIBUS), Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain.

Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain.

出版信息

Int J Mol Sci. 2016 Feb 17;17(2):243. doi: 10.3390/ijms17020243.

Abstract

Growth traits represent a main goal in aquaculture breeding programs and may be related to adaptive variation in wild fisheries. Integrating quantitative trait loci (QTL) mapping and next generation sequencing can greatly help to identify variation in candidate genes, which can result in marker-assisted selection and better genetic structure information. Turbot is a commercially important flatfish in Europe and China, with available genomic information on QTLs and genome mapping. Muscle and liver RNA-seq from 18 individuals was carried out to obtain gene sequences and markers functionally related to growth, resulting in a total of 20,447 genes and 85,344 single nucleotide polymorphisms (SNPs). Many growth-related genes and SNPs were identified and placed in the turbot genome and genetic map to explore their co-localization with growth-QTL markers. Forty-five SNPs on growth-related genes were selected based on QTL co-localization and relevant function for growth traits. Forty-three SNPs were technically feasible and validated in a wild Atlantic population, where 91% were polymorphic. The integration of functional and structural genomic resources in turbot provides a practical approach for QTL mining in this species. Validated SNPs represent a useful set of growth-related gene markers for future association, functional and population studies in this flatfish species.

摘要

生长性状是水产养殖育种计划的主要目标,可能与野生渔业中的适应性变异有关。整合数量性状基因座(QTL)定位和下一代测序能够极大地帮助识别候选基因中的变异,这可能会带来标记辅助选择和更好的遗传结构信息。大菱鲆是欧洲和中国具有重要商业价值的比目鱼,有关于QTL和基因组图谱的可用基因组信息。对18个个体的肌肉和肝脏进行RNA测序,以获得与生长功能相关的基因序列和标记,共得到20447个基因和85344个单核苷酸多态性(SNP)。鉴定出许多与生长相关的基因和SNP,并将其定位到大菱鲆基因组和遗传图谱中,以探索它们与生长QTL标记的共定位情况。基于QTL共定位和生长性状的相关功能,从与生长相关的基因中选择了45个SNP。43个SNP在技术上可行,并在野生大西洋种群中得到验证,其中91%具有多态性。大菱鲆功能基因组资源与结构基因组资源的整合为该物种的QTL挖掘提供了一种实用方法。经过验证的SNP是一组有用的与生长相关的基因标记,可用于该比目鱼未来的关联研究、功能研究和种群研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/4783974/e40092f28d7e/ijms-17-00243-g001.jpg

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