Polymorphism in the insulin-related peptide gene and its association with growth traits in the Pacific oyster Crassostrea gigas |
| |
| Affiliation: | 1. Key Laboratory of Applied Marine Biotechnology, Ningbo University, Ministry of Education, Zhejiang, Ningbo 315211, PR China;2. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Hubei, Wuhan 430071, PR China;1. College of Fisheries and Life Science, Engineering and Technology Research Center of Shellfish Breeding in Liaoning Province, Dalian Ocean University, Dalian 116023, China;2. Dalian City Oceanic and Fishery Administration, 100000 Dalian, China;1. Fisheries College, Guangdong Ocean University, Zhanjiang 524088, China;2. Pearl Breeding and Processing Engineering Technology, Research Center of Guangdong Province, Zhanjiang 524088, China;1. State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, The Chinese Academy of Sciences, Wuhan 430072, China;2. University of Chinese Academy of Sciences, Beijing 100049, China |
| |
| Abstract: | The oyster insulin-related peptide (oIRP) is known in other organisms to play important roles in growth control and carbohydrate homeostasis. Polymorphisms of the oIRP gene were evaluated for associations with growth performance of 271 Crassostrea gigas individuals from a diallel cross among three strains of C. gigas. Thirty-one single nucleotide polymorphisms (SNPs) were revealed in 1.5 kb of the oIRP gene, and six of them were significantly associated with growth performance (P < 0.05), particularly for T1358G and G1437A which were highly correlated with all the five growth traits (shell height, shell length, shell width, body mass and soft-tissue mass) (P < 0.01). Moreover, haplotypes analysis revealed that H7 (ATGTGA) and H8 (ATGTTA) might be the most advantageous haplotypes for growth traits. The results demonstrated that the oIRP gene could influence growth performance of C. gigas and have potential applications in future genetic improvement of C. gigas. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
