High-density linkage map and single nucleotide polymorphism association with whole weight, meat yield, and shell shape in the Portuguese oyster, Crassostrea angulata

Van Vu, Sang, Kumar, Manoharan, Rastas, Pasi, Boudry, Pierre, Gheyas, Almas, Bean, Tim P., Nguyen, Mai Thi, Tran, Khanh Dang, Geist, Juergen, Nguyen, Hoang Huy, O’Connor, Wayne, Tran, Ha Luu Ngoc, Le, Thang Toan, Cao, Giang Truong, Nguyen, Thu Thi Anh, and Van Vu, In (2024) High-density linkage map and single nucleotide polymorphism association with whole weight, meat yield, and shell shape in the Portuguese oyster, Crassostrea angulata. Aquaculture International, 32. pp. 10109-10122.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1007/s10499-024-01652...


Abstract

This study elucidates to generate a linkage map for Portuguese oysters, Crassostrea angulata, and recognise potential markers linked to economical traits in C. angulata. Genome-wide association studies (GWAS) using 19,475 single nucleotide polymorphisms (SNPs) generated by a genotyping-by-sequencing approach consisting of 647 individuals in two selection generations of C. angulata, consisting of 57 full-sib family of the first generation and 33 full-sib family of the second generation. GWAS identified six significant SNPs linked to whole weight (P < 10−4). These six SNPs explained 10.2% of the total genetic variance of whole weight. Additionally, three SNPs were identified linked to meat yield (i.e., soft tissue weight) and contributed to 9.2% of the total genetic variance for this trait. By linkage analysis on the raw data, a total of 19,475 SNP markers were mapped to 10 linkage groups, with an average density of 19.1 SNPs per cM. This linkage map was developed and potential markers identified for whole weight and soft tissue weight provide a novel resource to characterise the genetic structure of economic traits in C. angulata.

Item ID: 85225
Item Type: Article (Research - C1)
ISSN: 1573-143X
Copyright Information: © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024
Date Deposited: 23 Apr 2025 04:18
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3005 Fisheries sciences > 300501 Aquaculture @ 100%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280101 Expanding knowledge in the agricultural, food and veterinary sciences @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page