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通过全基因组关联研究鉴定生长相关基因及其在凡纳滨对虾育种中的潜在应用()。

Identification of Growth-Associated Genes by Genome-Wide Association Study and Their Potential Application in the Breeding of Pacific White Shrimp ().

作者信息

Lyu Ding, Yu Yang, Wang Quanchao, Luo Zheng, Zhang Qian, Zhang Xiaojun, Xiang Jianhai, Li Fuhua

机构信息

Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.

Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.

出版信息

Front Genet. 2021 Apr 7;12:611570. doi: 10.3389/fgene.2021.611570. eCollection 2021.

Abstract

The Pacific white shrimp () is the most widely cultured shrimp in the world. A great attention has been paid to improve its body weight (BW) at harvest through genetic selection for decades. Genome-wide association study (GWAS) is a tool to dissect the genetic basis of the traits. In this study, a GWAS approach was conducted to find genes related to BW through genotyping 94,113 single nucleotide polymorphisms (SNPs) in 200 individuals from a breeding population. Four BW-related SNPs located in LG19 and LG39 were identified. Through further candidate gene association analysis, the SNPs in two candidate genes, and , were found to be related with the body weight of the shrimp. Marker-assisted best linear unbiased prediction (MA-BLUP) based on the SNPs in these two genes was used to estimate the breeding values, and the result showed that the highest prediction accuracy of MA-BLUP was increased by 9.4% than traditional BLUP. These results will provide useful information for the marker-assisted breeding in

摘要

凡纳滨对虾(Litopenaeus vannamei)是世界上养殖最广泛的虾类。几十年来,人们一直高度重视通过基因选择来提高其收获时的体重(BW)。全基因组关联研究(GWAS)是剖析性状遗传基础的一种工具。在本研究中,采用GWAS方法,通过对来自一个育种群体的200个个体中的94,113个单核苷酸多态性(SNP)进行基因分型,来寻找与BW相关的基因。在LG19和LG39上鉴定出4个与BW相关的SNP。通过进一步的候选基因关联分析,发现两个候选基因(此处原文缺失基因名)中的SNP与虾的体重相关。基于这两个基因中的SNP的标记辅助最佳线性无偏预测(MA - BLUP)用于估计育种值,结果表明MA - BLUP的最高预测准确性比传统BLUP提高了9.4%。这些结果将为凡纳滨对虾的标记辅助育种提供有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40f8/8058354/091234e5afd3/fgene-12-611570-g001.jpg

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