中国水产科学2017，Vol.24Issue(3)：440-448,9.DOI:10.3724/SP.J.1118.2017.16081
偏分离条件下牙鲆生长性状QTL的主成分定位
Mapping QTLs for principle components of growth traits using dis-torted markers in Japanese flounder Paralichthys olivaceus
摘要
Abstract
For this study, a double haploid population of Japanese flounder Paralichthys olivaceus was produced using mitotic gynogenetics. Body weight and 7 morphological traits (i.e., total length, dorsal-fin length, pelvic-fin length, body height, caudal peduncle width, head width and trunk length) were measured. After normalizing the measures, we acquired a data set that could explain 90.4% of these principal-component analysis traits (PPCTs), and accordingly we denoted these PPCTs. Next, by modifying conditional probabilities of quantitative trait loci (QTL) genotypes on the distorted flanking markers, Bayesian model selection was used to dissect the genetic arc-hitecture of the PPCTs with four genetic linkage maps, created with the software JoinMap4, MapDisto, JoinMap- DistortedMap and MapDisto-DistortedMap. The different methods used to construct the genetic maps and QTL mapping of the PPCTs produced variable results. Comparing the map produced with JoinMap4, the relative posi-tions and the genetic map distances of the partial separation markers differed from the map produced with Map-Disto. Furthermore, five separation markers were not located at the corresponding linkage groups. Comparing the maps based on JoinMap 4 and MapDisto and after correction by DistortedMap, the positions were not changed, but the genetic map distances of the partial separation markers were changed. In the overall maps, three additive- ef-fect QTL were detected in linkage groups 6, 9 and 22, of which a negative effect could account for 12.95%, 14.85%, 11.56% and 11.76% in linkage group 6; a negative effect could account for 13.86%, 13.27%, 11.17% and 11.25% in linkage group 9; and a positive effect could account for 5.68%, 4.36%, 4.97% and 3.58% in linkage group 22. At the same time, 28, 19, 29 and 20 pairs of additive-additive interactions were identified, mainly distri-buted in linkage groups 6, 7, 9, 17, 20 and 22, and these interactions could account for approximately 2.19%? 17.62%, 2.40%?22.26%, 2.08%?26.0%, and 3.16%?22.05% of the variance in the PPCTs, respectively. We believe that the results of QTL mapping were more accurate in the linkage map using DistortedMap based on JoinMap4.关键词
牙鲆/Bayesian模型选择/偏分离/加性QTL/上位性QTL/MapDisto/DistortedMapKey words
Paralichthys olivaceus/Bayesian model selection/distorted segregation/additive QTL/epistasis QTL/MapDisto/DistortedMap分类
农业科技引用本文复制引用
李宁,张丽怡,李停,李艳红,刘海金,杨润清..偏分离条件下牙鲆生长性状QTL的主成分定位[J].中国水产科学,2017,24(3):440-448,9.基金项目
国家自然科学基金项目(31172190, 30972077) （31172190, 30972077）
中央级公益性科研院所基本科研业务费专项资金项目(2017A001). （2017A001）
