Mining and identification of SNP markers associated with growth traits in the clam Meretrix meretrix

被引:2
|
作者
Dai, Ping [1 ,2 ]
Wang, Hongxia [2 ]
Liu, Baozhong [2 ,3 ]
机构
[1] Chinese Acad Fishery Sci, Key Lab Sustainable Utilizat Marine Fisheries Res, Minist Agr, Yellow Sea Fisheries Res Inst, Qingdao 266071, Peoples R China
[2] Chinese Acad Sci, Key Lab Expt Marine Biol, Inst Oceanol, Qingdao 266071, Peoples R China
[3] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China
关键词
GMD; Growth; Marker-trait association; Meretrix meretrix; SNPs; SINGLE NUCLEOTIDE POLYMORPHISMS; VIBRIO-RESISTANCE; GENE; DISCOVERY; PARAMETERS; SELECTION; DISEASE; GENOME; MAP;
D O I
10.1007/s10499-016-0106-x
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Selecting fast-growing strains is the most common objective of genetic breeding programs. In this study, we sought to mine the growth-associated single nucleotide polymorphisms (SNPs) in the commercially cultured clam Meretrix meretrix by candidate gene association analysis. Fifty potentially growth-associated contigs based on their functional annotation were chosen as candidates from our EST database, and 240 SNPs were predicted from these contigs. Seventy-one predicted SNPs and five novel SNPs were identified by pooled DNA sequencing in both a fast-growing population (09SPSB) and a control population (09G(3)SB). Among these SNPs, 24 were also identified in an independent population (CP). Through multiplex SNaPshot genotyping, 16 of the 24 SNPs were used in the marker-trait association analysis between 09SPSB and 09G(3)SB. The results showed that seven SNPs in five contigs were significantly associated with clam shell length (P < 0.05). With bidirectional selective genotyping in the CP, three of the seven growth-associated SNPs were further confirmed. Annotations of these SNP-containing contigs provided some clues of these genes functioning in growth. After a haplotype association analysis, we found four haplotypes with significantly different frequencies between 09SPSB and 09G(3)SB (P < 0.001). Through a generalized multifactor dimensionality reduction (GMDR) analysis, we found several gene-gene interaction models, of which the two-factor model (SNPg5/SNPg16) was the best one. These obtained markers will be useful in further quantitative trait loci identification and marker-assisted selection in M. meretrix.
引用
收藏
页码:1185 / 1196
页数:12
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