Development of Fifty-one novel EST-SSR loci in the Pacific oyster, Crassostrea gigas by data mining from the public EST database

Development of polymorphic microsatellites for genetic studies of white scar oyster (Crassostrea belcheri) using paired-end shotgun sequencing

White scar oyster Crassostrea belcheri is a commercially important bivalve species in Thailand. Appropriate genetic markers are needed for effective management to elevate its production efficiency. Type II microsatellites of C. belcheri were identified and characterized using an Illumina paired-end shotgun sequencing. A total of 14,743,710 reads were generated for which 198,849 reads containing microsatellites and 217,998 microsatellite loci were found. Twenty out of 60 microsatellite loci (33.33%) were polymorphic and these microsatellites were further tested against DNA bulks (N = 10 each) originating from 7 different geographic locations in Thai waters. Results indicated that newly developed microsatellites can be used for genetic diversity analysis of C. belcheri. Genotyping of C. belcheri collected from Surat Thani (Gulf of Thailand; N = 50) were performed. The number of alleles per locus ranged from 2 to 12 (average = 4.95). Observed and expected heterozygosities ranged from 0.0000 to 0.9400 (average = 0.3419) and 0.1139 to 0.8190 (average = 0.5844), respectively. Genome information and 20 newly isolated microsatellites will facilitate further studies in population genetics, stock management, and genetic improvement of C. belcheri in Thailand.

Mapping Genetic Loci for Quantitative Traits of Golden Shell Color, Mineral Element Contents, and Growth-Related Traits in Pacific Oyster (Crassostrea gigas)

Golden shell color and mineral content are important economic traits of Pacific oyster (Crassostrea gigas). In this study, we mapped a series of quantitative trait loci (QTLs) that control zinc (Zn) and magnesium (Mg) content, shell color and growth performance to two sex-averaged linkage maps from the FAM-A and FAM-B families. In total, ten QTLs were identified in seven linkage groups (LGs) in the FAM-B family, and seven QTLs were identified in four linkage groups in the FAM-A family. Two QTLs affecting the trait of golden shell color were identified in LG8 of the FAM-A and LG10 of the FAM-B families, which could explain 20.2 and 10.5% of the phenotypic variations, respectively. Two QTLs for Zn content were identified that could contribute to 17.9 and 34.44% of the phenotypic variations in FAM-A. Six QTLs for Zn and Mg contents were identified in four LGs (LG1, LG2, LG5, and LG9) in FAM-B, which explained 13.5-26.7% of the phenotypic variations. In addition, seven QTLs related to oyster growth were recognized in both FAM-A and FAM-B families accounting for 14.6-36.7% of the phenotypic variations. All of the DNA markers in QTL regions were blasted and 14 genes associated with above traits were identified. The mRNA expression of these genes was determined by quantitative RT-PCR. These QTLs and candidate genes could be used as potential targets for marker-assisted selection in C. gigas breeding.

Discovery and validation of genic single nucleotide polymorphisms in the Pacific oyster Crassostrea gigas

The economic and ecological importance of the oyster necessitates further research on the molecular mechanisms, which both regulate the commercially important traits of the oyster and help it to survive in the variable marine environment. Single nucleotide polymorphisms (SNPs) have been widely used to assess genetic variation and identify genes underlying target traits. In addition, high-resolution melting (HRM) analysis is a potentially powerful method for validating candidate SNPs. In this study, we adopted a rapid and efficient pipeline for the screening and validation of SNPs in the genic region of Crassostrea gigas based on transcriptome sequencing and HRM analysis. Transcriptomes of three wild oyster populations were sequenced using Illumina sequencing technology. In total, 50-60 million short reads, corresponding to 4.5-5.4 Gbp, from each population were aligned to the oyster genome, and 5.8 × 10(5) SNPs were putatively identified, resulting in a predicted SNP every 47 nucleotides on average. The putative SNPs were unevenly distributed in the genome and high-density (≥2%), nonsynonymous coding SNPs were enriched in genes related to apoptosis and responses to biotic stimuli. Subsequently, 1,671 loci were detected by HRM analysis, accounting for 64.7% of the total selected candidate primers, and finally, 1,301 polymorphic SNP markers were developed based on HRM analysis. All of the validated SNPs were distributed into 897 genes and located in 672 scaffolds, and 275 of these genes were stress inducible under unfavourable salinity, temperature, and exposure to air and heavy metals. The validated SNPs in this study provide valuable molecular markers for genetic mapping and characterization of important traits in oysters.