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通过ddRAD测序对金头鲷的遗传变异进行扫描及对表型性状进行遗传定位

Scanning of Genetic Variants and Genetic Mapping of Phenotypic Traits in Gilthead Sea Bream Through ddRAD Sequencing.

作者信息

Kyriakis Dimitrios, Kanterakis Alexandros, Manousaki Tereza, Tsakogiannis Alexandros, Tsagris Michalis, Tsamardinos Ioannis, Papaharisis Leonidas, Chatziplis Dimitris, Potamias George, Tsigenopoulos Costas S

机构信息

School of Medicine, University of Crete, Heraklion, Greece.

Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece.

出版信息

Front Genet. 2019 Aug 6;10:675. doi: 10.3389/fgene.2019.00675. eCollection 2019.

Abstract

Gilthead sea bream (Sparus aurata) is a teleost of considerable economic importance in Southern European aquaculture. The aquaculture industry shows a growing interest in the application of genetic methods that can locate phenotype-genotype associations with high economic impact. Through selective breeding, the aquaculture industry can exploit this information to maximize the financial yield. Here, we present a Genome Wide Association Study (GWAS) of 112 samples belonging to seven different sea bream families collected from a Greek commercial aquaculture company. Through double digest Random Amplified DNA (ddRAD) Sequencing, we generated a per-sample genetic profile consisting of 2,258 high-quality Single Nucleotide Polymorphisms (SNPs). These profiles were tested for association with four phenotypes of major financial importance: Fat, Weight, Tag Weight, and the Length to Width ratio. We applied two methods of association analysis. The first is the typical single-SNP to phenotype test, and the second is a feature selection (FS) method through two novel algorithms that are employed for the first time in aquaculture genomics and produce groups with multiple SNPs associated to a phenotype. In total, we identified 9 single SNPs and 6 groups of SNPs associated with weight-related phenotypes (Weight and Tag Weight), 2 groups associated with Fat, and 16 groups associated with the Length to Width ratio. Six identified loci (Chr4:23265532, Chr6:12617755, Chr:8:11613979, Chr13:1098152, Chr15:3260819, and Chr22:14483563) were present in genes associated with growth in other teleosts or even mammals, such as semaphorin-3A and neurotrophin-3. These loci are strong candidates for future studies that will help us unveil the genetic mechanisms underlying growth and improve the sea bream aquaculture productivity by providing genomic anchors for selection programs.

摘要

金头鲷(Sparus aurata)是一种在南欧水产养殖中具有重要经济价值的硬骨鱼。水产养殖业对应用能够定位具有高经济影响的表型 - 基因型关联的遗传方法表现出越来越浓厚的兴趣。通过选择性育种,水产养殖业可以利用这些信息来最大化经济收益。在此,我们对从一家希腊商业水产养殖公司收集的属于七个不同金头鲷家族的112个样本进行了全基因组关联研究(GWAS)。通过双酶切随机扩增多态性DNA(ddRAD)测序,我们生成了每个样本由2258个高质量单核苷酸多态性(SNP)组成的遗传图谱。这些图谱针对四个具有重要经济意义的表型进行了关联测试:脂肪、体重、标记体重以及长宽比。我们应用了两种关联分析方法。第一种是典型的单SNP与表型测试,第二种是通过两种新算法的特征选择(FS)方法,这两种算法首次应用于水产养殖基因组学,并产生与表型相关的多个SNP的组。总共,我们鉴定出9个与体重相关表型(体重和标记体重)相关的单SNP以及6组SNP,2组与脂肪相关,16组与长宽比相关。六个鉴定出的位点(Chr4:23265532、Chr6:12617755、Chr:8:11613979、Chr13:1098152、Chr15:3260819和Chr22:14483563)存在于与其他硬骨鱼甚至哺乳动物生长相关的基因中,如信号素-3A和神经营养因子-3。这些位点是未来研究的有力候选者,将有助于我们揭示生长背后的遗传机制,并通过为选择计划提供基因组锚点来提高金头鲷水产养殖的生产力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4db/6691846/02a4cd2f9833/fgene-10-00675-g001.jpg

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