Genome loci with selection signatures revealed in a domesticated mandarin fish population

Artificial selection enables the targeted alteration of allele frequencies within a population, leading to the consolidation and enhancement of beneficial variations and the stable genetic development of new varieties. Mandarin fish (Siniperca chuatsi) is a commercially important freshwater fish species in China. Through four generations of artificial selection targeting growth rate and survival rate as key traits, our team developed the new variety “Guangqing No. 1”. To identify the genomic loci subjected to selection during the artificial selection process, we conducted whole-genome resequencing on 150 individuals, comprising two wild populations of S. chuatsi (HN and AH) as the base populations and the selectively bred population “Guangqing No. 1”. A total of 3.90 million high-quality SNPs were identified across the three groups. Analysis of population structure and genetic diversity revealed that the individuals were divided into three groups, consistent with their geographical origins. Moreover, the selectively bred population was subjected to more intensive selection and exhibited reduced genetic diversity. Using Fst, Pi ratio, and XP-EHH, this study identified 71 significantly selected regions in S. chuatsi populations, along with 424 candidate genes potentially under selection. Among the candidate genes identified through selection loci analysis, some are closely associated with key economic traits such as growth, immunity, reproduction, and feeding (e.g., pfkp, igf1, Ig, il4i1, npy2r, omp, lrat, c2orf71, sept12). In this study, we identified valuable candidate genes and selection markers for the artificial selection of S. chuatsi, offering valuable insights and guidance for future aquatic breeding efforts.

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Journal
BMC Genomics
Published
2025-10-22
DOI
https://doi.org/10.1186/s12864-025-12145-0
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

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article

Genome loci with selection signatures revealed in a domesticated mandarin fish population

Hetong Zhang, Fubao Wang, Fengying Gao, Chengfei Sun et al.
BMC Genomics
Genetic and phenotypic traits in livestock
article

Genome loci with selection signatures revealed in a domesticated mandarin fish population

Hetong Zhang, Fubao Wang, Fengying Gao, Chengfei Sun, Xiao Chen, Ziyang Wang, Yuan Zhang, Cheng‐Bin Wu, Junjian Dong, Xing Ye, Yunyun Yan
article en

Abstract

Artificial selection enables the targeted alteration of allele frequencies within a population, leading to the consolidation and enhancement of beneficial variations and the stable genetic development of new varieties. Mandarin fish (Siniperca chuatsi) is a commercially important freshwater fish species in China. Through four generations of artificial selection targeting growth rate and survival rate as key traits, our team developed the new variety “Guangqing No. 1”. To identify the genomic loci subjected to selection during the artificial selection process, we conducted whole-genome resequencing on 150 individuals, comprising two wild populations of S. chuatsi (HN and AH) as the base populations and the selectively bred population “Guangqing No. 1”. A total of 3.90 million high-quality SNPs were identified across the three groups. Analysis of population structure and genetic diversity revealed that the individuals were divided into three groups, consistent with their geographical origins. Moreover, the selectively bred population was subjected to more intensive selection and exhibited reduced genetic diversity. Using Fst, Pi ratio, and XP-EHH, this study identified 71 significantly selected regions in S. chuatsi populations, along with 424 candidate genes potentially under selection. Among the candidate genes identified through selection loci analysis, some are closely associated with key economic traits such as growth, immunity, reproduction, and feeding (e.g., pfkp, igf1, Ig, il4i1, npy2r, omp, lrat, c2orf71, sept12). In this study, we identified valuable candidate genes and selection markers for the artificial selection of S. chuatsi, offering valuable insights and guidance for future aquatic breeding efforts.

BMC GenomicsVol. 26(1)
Hebei Agricultural University (CN), Ji Hua Laboratory (CN), Ministry of Agriculture and Rural Affairs (CN), Chinese Academy of Fishery Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Modern Agricultural Technology Industry System of Shandong province, Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences
Openalex Percentile: Top 68%
Genetic and phenotypic traits in livestock
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