Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network ...

• Main Authors: Meng, Jie, Song, Kai, Li, Chunyan, Liu, Sheng, Shi, Ruihui, Li, Busu, Wang, Ting, Li, Ao, Que, Huayong, Li, Li, Zhang, Guofan
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: figshare 2019
• Subjects: Genetics; FOS Biological sciences; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; Virology; Crassostrea gigas
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.4603073; https://springernature.figshare.com/collections/Genome-wide_association_analysis_of_nutrient_traits_in_the_oyster_Crassostrea_gigas_genetic_effect_and_interaction_network/4603073

Abstract Background Oyster is rich in glycogen and free amino acids and is called â the milk of seaâ . To understand the main genetic effects of these traits and the genetic networks underlying their correlation, we have conducted the whole genome resequencing with 427 oysters collected from the world-wide scale. Results After association analysis, 168 clustered significant single nucleotide polymorphism (SNP) loci were identified for glycogen content and 17 SNPs were verified with 288 oyster individuals in another wide populations. These were the most important candidate loci for oyster breeding. Among 24 genes in the 100-kb regions of the leading SNP loci, cytochrome P450 17A1 (CYP17A1) contained a non-synonymous SNP and displayed higher expressions in high glycogen content individuals. This might enhance the gluconeogenesis process by the transcriptionally regulating the expression of phosphoenolpyruvate carboxykinase (PEPCK) and glucose 6-phosphatase (G6Pase). Also, for amino acids content, 417 clustered ...