Abstract

Growth hormone (GH) has been considered as a candidate gene for growth traits in fish. In this study, polymorphisms of the GH gene were evaluated for associations with growth traits in 282 Siniperca chuatsi individuals. Using directly sequencing, four single nucleotide polymorphisms (SNPs) were identified in GH gene, with two mutations in intron 4 (g.4940A>C, g.4948A>T), one mutation in exon 5 (g.5045T>C) and one in intron 5 (g.5234T>G). Notably, three of them were significantly associated with growth performance, particularly for g.4940A>C which was highly correlated with all the four growth traits. In conclusion, our results demonstrated that these SNPs in GH gene could influence growth performance of S.chuatsi and could be used for marker-assisted selection (MAS) in this species.

Highlights

  • The Chinese perch Siniperca chuatsi (Basilewsky) is one of the chief economic freshwater fishes for aquaculture in China, with worldwide production of 252,622 tons in 2010 [1]

  • Four single nucleotide polymorphisms (SNPs) were identified in Growth hormone (GH) gene, with two mutations in intron 4 (g.4940A>C, g.4948A>T), one in exon 5 (g.5045T>C, synonymous mutation) and one in intron 5 (g.5234T>G)

  • According to the classification of polymorphism information content (PIC), the mixed pedigrees of S. chuatsi population belongs to the median polymorphism level (PIC = 0.33)

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Summary

Introduction

The Chinese perch Siniperca chuatsi (Basilewsky) is one of the chief economic freshwater fishes for aquaculture in China, with worldwide production of 252,622 tons in 2010 [1]. With the rapid development of the culture industry, some commercially desirable characteristics (growth, disease resistance and suitability) of the cultured stocks have declined [1,3]. These have led commercial breeders to incorporate significant selection for increased growth rate in breeding programs by marker-assisted selection (MAS). With the increase of single nucleotide polymorphisms (SNP) identification speed and efficiency, those studies will promote comprehensive tests of the hypothesis that common variants contribute significantly to the molecular nature of quantitative traits

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