Research Papers: Pathology:

Genetic variations of body weight and GCRV resistance in a random mating population of grass carp

Rong Huang, Jiaxian Sun, Qing Luo, Libo He, Lanjie Liao, Yongming Li, Fuhua Guo, Zuoyan Zhu and Yaping Wang _

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Oncotarget. 2015; 6:35433-35442. https://doi.org/10.18632/oncotarget.5945

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Rong Huang1, Jiaxian Sun2, Qing Luo1, Libo He1, Lanjie Liao1, Yongming Li1, Fuhua Guo2, Zuoyan Zhu1 and Yaping Wang1

1 State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China

2 Tongwei Company, Limited, Chengdu, China

Correspondence to:

Yaping Wang, email:

Keywords: Ctenopharyngodon idellus, full-sib families, paternity test, breeding, Pathology Section

Received: August 12, 2015 Accepted: September 13, 2015 Published: October 01, 2015


The grass carp (Ctenopharyngodon idellus) is an important species in freshwater aquaculture both in China and on a global scale. Variety degeneration and frequent diseases have limited the further development of grass carp aquaculture. Thus, new and improved varieties are required. Here, we identified and assessed the body weight and disease resistance in a random mating population of 19 ♀ × 22 ♂ grass carp, which were derived from different water systems. In both the growth experimental group of 10,245 fish and grass carp reovirus (GCRV)-infected group with 10,000 fish, 78 full-sib families were statistically analyzed for body weight and GCRV resistance. The findings showed that body weight traits had low heritability (0.11 ± 0.04, 0.10 ± 0.03 and 0.12 ± 0.05), GCRV resistance traits had high heritability (0.63 ± 0.11); body weight was higher in 3 families, whereas GCRV resistance was significantly greater in 11 families. Our results confirmed that the natural germplasm resources of wild grass carp were genetically diverse. Breeding of GCRV resistant varieties of grass carp have better genetic basis. This study provides the basis for constructing basal populations for grass carp selective breeding, quantitative trait loci (QTL) and genome-wide association studies (GWAS) analysis.

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