Premium
Validation of growth‐related quantitative trait loci markers in different Exopalaemon carinicauda families for marker‐assisted selection
Author(s) -
Wang J.,
Li M.,
Qin Z.,
Li J.,
Li J.
Publication year - 2020
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/age.12914
Subject(s) - biology , selection (genetic algorithm) , quantitative trait locus , genetics , marker assisted selection , trait , genetic marker , evolutionary biology , computational biology , gene , artificial intelligence , computer science , programming language
Summary We detected growth‐related QTL and associated markers from the backcross population of Exopalaemon carinicauda in the previous study. Based on our previous study, the 47 SNP markers associated with candidate growth trait QTL were selected to analyze the association between these markers and body weight (BW), body length and abdominal segment length traits in four different populations including wild population, a full‐sib family, a half‐sib family and a backcross population for evaluating their potential application of marker‐assisted selection in E. carinicauda . The general linear model (GLM) and mixed linear model were applied and the associations between SNP loci and three growth‐related traits verified. The results showed that the Marker79268 and Marker100644 were significantly associated with the BW trait in more than three populations by the GLM method. The Marker100644 was significantly associated with BW in the full‐sib family, half‐sib family and backcross populations by the GLM and mixed linear model methods. Our findings will provide useful SNP markers to go forward to improve growth performance through more refined marker‐assisted selection in E. carinicauda .