An integrated genetic map based on EST-SNPs and QTL analysis of shell color traits in Pacific oyster Crassostrea gigas
An integrated genetic map based on EST-SNPs and QTL analysis of shell color traits in Pacific oyster Crassostrea gigas
复制标题
基于 EST-SNP 和 QTL 分析的太平洋牡蛎壳颜色性状综合遗传图谱
DOI：
10.1016/j.aquaculture.2018.04.018
复制
发表时间：
2018-07
期刊：
影响因子：
4.5
通讯作者：
Yu Hong
中科院分区：
文献类型：
--
作者：
Wang Jiulong;Li Qi;Zhong Xiaoxiao;Song Junlin;Kong Lingfeng;Yu Hong
壳色多态性是自然界中常见的海洋软体动物。太平洋牡蛎Crassostreagigas被广泛养殖，是经济上最重要的双壳贝类之一，具有多种壳色变体。利用EST-SNPs技术开发的1061个单核苷酸多态性标记，构建了黑壳牡蛎和白色壳牡蛎正反交遗传连锁图谱（MF-A和MF-B）。将两个独立的连锁图谱合并成一个全长为947.31cM的整合图谱。该图谱由351个EST-SNP标记组成，分布在10个连锁群上，相邻标记间的平均间隔为2.78cM。在MF-A中，检测到11个壳色性状QTL和5个生长性状QTL，分别解释表型变异的8.1%~ 13.8%（平均11.76%）和10.4%~ 11.0%（平均10.66%）。在MF-B中，检测到9个控制壳色性状的QTL，平均解释表型变异8.8%~ 21.7%，平均解释表型变异12.84%;检测到8个控制生长性状的QTL，平均解释表型变异8.4%~ 9.4%。在MF-A的第2连锁群和MF-B的第8连锁群上均发现了QTL聚类，QTL的多效性最多可影响3个性状。在整合图上检测到3个与壳色性状相关的QTL，其中qA-a* 4与C.巨钙调素样蛋白本研究所发现的QTL可用于寻找壳色和生长相关性状的候选基因，并可应用于柑橘的分子标记辅助选择育种。千兆。
Shell color polymorphism is common in nature for the marine mollusks. The Pacific oysterCrassostreagigas, is widely cultured and one of the most economically important bivalve species with various shell color variants. Here, a total of 1061 single nucleotide polymorphism markers, developed from expressed sequence tags (EST-SNPs), were used to construct two genetic linkage maps based on reciprocal-cross between black shell and white shell oysters (MF-A and MF-B) respectively. The two separate linkage maps were combined into an integrated map spanning 947.31 cM in total length. The integrated map was composed of 351 EST-SNP markers distributing on 10 linkage groups, with an average interval of 2.78 cM between adjacent markers. For the MF-A, 11 quantitative trait loci (QTLs) for shell color traits and five QTLs for growth traits were detected, explaining 8.1%–13.8% (mean = 11.76%) and 10.4%–11.0% (mean = 10.66%) phenotypic variance respectively. For the MF-B, nine QTLs for shell color traits and eight QTLs for growth traits were detected, explaining 8.8%–21.7% (mean = 12.84%) and 8.4%–9.4% (mean = 8.88%) phenotypic variance respectively. QTLs clustering was found on the linkage group 2 of the MF-A and the linkage group 8 of the MF-B, and the QTLs showed that pleiotropism could affect at most three traits. Three shared-QTLs associated with shell color traits were identified on the integrated map, and one of them (qA-a* 4) was significantly homologous toC. gigascalmodulin-like protein. The QTLs identified in the present study could be useful in finding candidate genes for the shell color and growth-related traits in future, and potentially applied to marker-assisted selection breeding programs forC. gigas.
登录
查看更多内容
影响因子：
2.7
作者：
HEATH, DJ
通讯作者：
HEATH, DJ
影响因子：
3.3
作者：
A. Chakravarti;Laura K. Lasher;Jillian E. Reefer
通讯作者：
A. Chakravarti;Laura K. Lasher;Jillian E. Reefer
DOI：
10.1186/1297-9686-42-17
发表时间：
2010-06-04
期刊：
Genetics, selection, evolution : GSE
影响因子：
--
作者：
Baranski M;Moen T;Våge DI
通讯作者：
Våge DI
太平洋牡蛎 (Crassostrea gigas) 高密度 SNP 阵列的构建和评估
影响因子：
3.7
作者：
Qi H;Song K;Li C;Wang W;Li B;Li L;Zhang G
通讯作者：
Zhang G
DOI：
10.2307/1543603
发表时间：
2003-06
期刊：
The Biological Bulletin
影响因子：
--
作者：
Ziniu Yu;Ximing Guo
通讯作者：
Ziniu Yu;Ximing Guo