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开发和测试一种用于欧洲鲈鱼(Dicentrarchus labrax)和金头鲷(Sparus aurata)的组合物种 SNP 芯片。

Development and testing of a combined species SNP array for the European seabass (Dicentrarchus labrax) and gilthead seabream (Sparus aurata).

机构信息

The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK.

Hellenic Centre for Marine Research, Thalassocosmos Gournes Pediados, 71500 Irakleio, Crete, Greece.

出版信息

Genomics. 2021 Jul;113(4):2096-2107. doi: 10.1016/j.ygeno.2021.04.038. Epub 2021 Apr 30.

Abstract

SNP arrays are powerful tools for high-resolution studies of the genetic basis of complex traits, facilitating both selective breeding and population genomic research. The European seabass (Dicentrarchus labrax) and the gilthead seabream (Sparus aurata) are the two most important fish species for Mediterranean aquaculture. While selective breeding programmes increasingly underpin stock supply for this industry, genomic selection is not yet widespread. Genomic selection has major potential to expedite genetic gain, particularly for traits practically impossible to measure on selection candidates, such as disease resistance and fillet characteristics. The aim of our study was to design a combined-species 60 K SNP array for European seabass and gilthead seabream, and to test its performance on farmed and wild populations from numerous locations throughout the species range. To achieve this, high coverage Illumina whole-genome sequencing of pooled samples was performed for 24 populations of European seabass and 27 populations of gilthead seabream. This resulted in a database of ~20 million SNPs per species, which were then filtered to identify high-quality variants and create the final set for the development of the 'MedFish' SNP array. The array was then tested by genotyping a subset of the discovery populations, highlighting a high conversion rate to functioning polymorphic assays on the array (92% in seabass; 89% in seabream) and repeatability (99.4-99.7%). The platform interrogates ~30 K markers in each species, includes features such as SNPs previously shown to be associated with performance traits, and is enriched for SNPs predicted to have high functional effects on proteins. The array was demonstrated to be effective at detecting population structure across a wide range of fish populations from diverse geographical origins, and to examine the extent of haplotype sharing among Mediterranean farmed fish populations. In conclusion, the new MedFish array enables efficient and accurate high-throughput genotyping for genome-wide distributed SNPs for each fish species, and will facilitate stock management, population genomics approaches, and acceleration of selective breeding through genomic selection.

摘要

SNP 阵列是研究复杂性状遗传基础的强大工具,可促进选择性育种和群体基因组研究。欧洲鲈鱼(Dicentrarchus labrax)和金头鲷(Sparus aurata)是地中海水产养殖中最重要的两种鱼类。虽然选择性育种计划越来越为该行业提供了库存供应,但基因组选择尚未广泛应用。基因组选择具有加速遗传增益的巨大潜力,特别是对于在选择候选者上几乎不可能测量的性状,例如抗病性和鱼片特征。我们的研究目的是为欧洲鲈鱼和金头鲷设计一个组合物种的 60K SNP 阵列,并在该物种分布的许多地点的养殖和野生种群中测试其性能。为此,对 24 个欧洲鲈鱼群体和 27 个金头鲷群体的混合样本进行了高覆盖率的 Illumina 全基因组测序。这为每个物种生成了约 2000 万个 SNP 的数据库,然后对其进行过滤,以识别高质量的变体,并创建最终的“MedFish”SNP 阵列。然后通过对发现种群的一部分进行基因分型来测试该阵列,这突出显示了在该阵列上进行功能多态性检测的高转换率(鲈鱼为 92%;金头鲷为 89%)和重复性(99.4-99.7%)。该平台在每个物种中询问约 30K 个标记,包括先前显示与表现性状相关的 SNP 等特征,并且富含预测对蛋白质具有高功能影响的 SNP。该阵列被证明能够有效地检测来自不同地理起源的各种鱼类种群的种群结构,并检查地中海养殖鱼类种群之间的单倍型共享程度。总之,新的 MedFish 阵列能够有效地对每个鱼类物种的全基因组分布 SNP 进行高效、准确的高通量基因分型,将促进种群管理、群体基因组学方法的应用,并通过基因组选择加速选择性育种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b41/8276775/273d585b64d6/gr1.jpg

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