牙鲆遗传作图及生长性状QTL定位  

Genetic mapping and QTLs analysis of growth traits in olive flounder(Paralichthys olivaceus)

作　　者：牛余泽[1,2] 廖小林[1] 宋文涛[1,2] 王磊[1] 赵永伟[1] 高峰涛[1] 陈松林[1] 

机构地区：[1]中国水产科学研究院黄海水产研究所,农业部海洋渔业可持续发展重点实验室,山东青岛266071 [2]上海海洋大学水产与生命学院,上海201306

出　　处：《水产学报》2012年第11期1640-1649,共10页Journal of Fisheries of China

基　　金：国家"九七三"计划(2010CB126303);国家"八六三"高技术研究发展计划(2012AA10A408);国家公益性行业(农业)科研专项(200903046);山东省泰山学者工程专项

摘　　要：采用牙鲆日本群体和韩国群体杂交的92个F1个体作为分离群体，利用微卫星标记和Joinmap4．0作图软件构建了牙鲆遗传连锁图谱。共有221个SSR标记用于连锁图谱构建，雌性图谱中，共178个微卫星标记定位到22个连锁群上，观测总长度为（Goa）599．0cM，覆盖率（Coa）达76．27％。雄性图谱中，共194个微卫星标记定位到23个连锁群上，Goa为693．4cM，Coa为78．82％。对全长、体质量、体高3组数据进行主成分分析处理，得到可解释3个性状的89．6％特征的一组数据，命名为牙鲆生长性状GT。用WinQTLCart2．5软件的复合区间作图，在已构建的遗传连锁图谱上对牙鲆生长性状GT进行QTL定位，取LOD经验值2．5为QTL存在的阈值；对微卫星标记进行性状一标记之间的回归分析。本研究共定位3个与牙鲆生长性状GT相关的QTLs，qGT-f4qGT-m20qGT-f20，可解释表型变异率分别为27．60％，13．74％，10．27％。在性状一标记之间的回归分析中，得到22个与生长性状GT相关（P〈O．05）的微卫星标记，单个标记可解释表型变异率介于3．70％～10．42％，其中6个微卫星标记scaffold558_51720、scaffold558_26183、scaffold903_69232、scaffold485_47120、scaffoldl262_77386、scaffold809_65154与生长性状GT之间呈极显著相关（P〈O．01），可解释表型变异率分别为10．42％、7．31％、10．07％、10．07％、8．39％和11．26％。Using a population including 92 F1 individuals obtained from the cross olive flounder from Japan xolive flounder from Korea as the segregating population, genetic linkage maps of flounder were con- structed using the SSR marker by joinmap4.0 software .A total of 221 SSR markers were fixed to the genetic linkage map. 178 SSR markers were linked to 22 linkage groups in female map and 194 SSR markers are linked to23 linkage groups in male map. The lengths of the female and male maps are 599.0 cM and 693.4 cM and covered 76.27% and 78.82% of the genome, respectively. Principal component analysis was handled with three sets of data, overall length, weight and body depth. 1 set of data that can explain 89.6% of the three traits was obtained, which was named growth-trait, GT of flounder. Based on the linkage maps, trait- marker regression and complexity, interval mapping were analyzed to fix QTLs related to growth traits by WinQTLCart 2.5 software, the experiential LOD-value of 2.5 was the threshold value of existing QTLs. Three QTLs related to growth traits were obtained from this research , qGT-f4,qGT-m20 and qGT-f20, and the variance explained by the three loci were 27.60%, 13.74%, 10.27%, respectively. Twen- ty-two SSR markers related to growth traits （P〈0.05） were obtained from trait- marker regression analyzing. The variance explained by single SSR, ranged from 3.70% to 11.26%. The six markers, scaf- fold558_51720, scaffold558_26183, scaffold903_69232, scaffold485_47120, scaffold1262_77386 and scaffold809_65154 were highly significantly （ P〈 0.01） correlated with growth traits, and the variance explained by the six were 10.42 %,7.31 % 10.07 %, 10.07 %,8.39%, 11.26% respectively.

关 键 词：牙鲆 微卫星 生长性状 QTL定位 

分 类 号：Q785[生物学—分子生物学] S917.4[农业科学—水产科学]