Genetic diversity and outlier loci detecting of shell color variation in the Pacific oyster (Crassostrea gigas) by SNP markers★
Key Laboratory of Mariculture, Ministry of Education, Ocean University of China,
2 Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
⁎ Corresponding author: email@example.com
Accepted: 28 February 2017
Color polymorphism is relatively common in marine mollusks. Shell color affects the visual perception of products which, consequently, influences consumer preference and product value. To increase the value of the Pacific oyster (Crassostrea gigas) for the half-shell market, four shell color strains (golden, white, purple, and black) of C. gigas have been developed through successive selective breeding. To investigate genetic variation and identify breeding signatures of C. gigas, the four shell color strains and three wild populations were assessed through using 133 single nucleotide polymorphism (SNP) markers. The genetic diversity analysis demonstrated that the shell color strain exhibited significant reduction in observed number of alleles in comparison with the wild population. However, there is no significant differences of observed heterozygosity and expected heterozygosity were identified among the seven populations. Based on three outlier tests, a total of 16 loci were identified under selection, and four common outlier loci (CgSNP82, CgSNP273, CgSNP646, and CgSNP1131) were detected based on all the methods. FST values showed significant genetic differentiation between shell color strains, as well as between shell color strains and wild populations. The information on the genetic variation and differentiation in shell color strains and wild populations of C. gigas is useful for setting up suitable guidelines for founding and maintaining of cultured stocks. The detected loci might benefit the breeding programs after being tested.
Key words: Crassostrea gigas / SNP / Outlier Locus / Shell color variation / Genetic diversity / Artificial selection
Supporting information is only available in electronic form at www.alr-journal.org.
© EDP Sciences 2017