Genome-wide association study of growth-related traits in mandarin fish (Siniperca chuatsi): identification of cross-trait associated loci and candidate genes using single-trait and multivariate linear mixed models

Mandarin fish ( S. chuatsi ) is China’s most economically important freshwater aquaculture species, yet selective breeding remains constrained by long generation intervals and limited genomic resources. We performed whole-genome resequencing of 98 Siniperca chuatsi individuals (minimum 10-fold coverage), retaining 1,310,398 quality-controlled bi-allelic SNPs across 24 chromosomes. Population structure analysis (principal component analysis, neighbor-joining, and ADMIXTURE) resolved four primary ancestral lineages that further separated into up to six finer-scale ancestry components, with evidence of admixture among individuals. Four morphometric traits (body length, height, weight, and thickness) were recorded; genome-wide association analyses were performed for body height and body weight, a derived shape index (length-to-thickness ratio), and two multivariate combinations of composite size and shape phenotypes, using single-trait and multivariate linear mixed models in GEMMA that accounted for population structure via a genomic relationship matrix and principal components. At a Bonferroni-corrected threshold (P < 3.82 × 10 −8 ), 32 genome-wide significant SNP associations were detected across the five analyses, including a core set shared across multiple analyses, suggesting cross-trait associations. The two most robust loci were intronic variants in BCL2L1 on chromosome 10, detected in all five analyses, and MRC1 on chromosome 13, the single strongest association overall. A locus spanning PITPNM2 and Zswim6 on chromosome 18 was detected only in the multivariate analysis, illustrating the added power of joint trait modeling over the single-trait GWAS performed here. A nonsynonymous variant in PITPNM2 (p.R1254H) within this locus was prioritized as a computational candidate for its potential role in growth and body-shape variation, pending experimental validation. These findings provide a candidate-marker resource to support marker-assisted and genomic selection for growth traits in S. chuatsi aquaculture breeding programs.

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Journal
Frontiers in Genetics
Published
2026-11-02
DOI
https://doi.org/10.3389/fgene.2026.1956014
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Genome-wide association study of growth-related traits in mandarin fish (Siniperca chuatsi): identification of cross-trait associated loci and candidate genes using single-trait and multivariate linear mixed models

Quratulain Hanif, Sofia Shehzad, Ran Cui, Jingran Cheng et al.
2 links
Frontiers in Genetics
Genetic and phenotypic traits in livestock
article

Genome-wide association study of growth-related traits in mandarin fish (Siniperca chuatsi): identification of cross-trait associated loci and candidate genes using single-trait and multivariate linear mixed models

Quratulain Hanif, Sofia Shehzad, Ran Cui, Jingran Cheng, Xiaoli Yao, Tao Yang, Xin Zhang
article en

Abstract

Mandarin fish ( S. chuatsi ) is China’s most economically important freshwater aquaculture species, yet selective breeding remains constrained by long generation intervals and limited genomic resources. We performed whole-genome resequencing of 98 Siniperca chuatsi individuals (minimum 10-fold coverage), retaining 1,310,398 quality-controlled bi-allelic SNPs across 24 chromosomes. Population structure analysis (principal component analysis, neighbor-joining, and ADMIXTURE) resolved four primary ancestral lineages that further separated into up to six finer-scale ancestry components, with evidence of admixture among individuals. Four morphometric traits (body length, height, weight, and thickness) were recorded; genome-wide association analyses were performed for body height and body weight, a derived shape index (length-to-thickness ratio), and two multivariate combinations of composite size and shape phenotypes, using single-trait and multivariate linear mixed models in GEMMA that accounted for population structure via a genomic relationship matrix and principal components. At a Bonferroni-corrected threshold (P < 3.82 × 10 −8 ), 32 genome-wide significant SNP associations were detected across the five analyses, including a core set shared across multiple analyses, suggesting cross-trait associations. The two most robust loci were intronic variants in BCL2L1 on chromosome 10, detected in all five analyses, and MRC1 on chromosome 13, the single strongest association overall. A locus spanning PITPNM2 and Zswim6 on chromosome 18 was detected only in the multivariate analysis, illustrating the added power of joint trait modeling over the single-trait GWAS performed here. A nonsynonymous variant in PITPNM2 (p.R1254H) within this locus was prioritized as a computational candidate for its potential role in growth and body-shape variation, pending experimental validation. These findings provide a candidate-marker resource to support marker-assisted and genomic selection for growth traits in S. chuatsi aquaculture breeding programs.

Frontiers in GeneticsVol. 17
University of Management and Technology (US), Shijiazhuang Academy of Agriculture and Forestry Sciences (CN), Beijing Academy of Agricultural and Forestry Sciences (CN), Shanghai Ocean University (CN), China Agricultural University (CN), University of Management and Technology (PK)
Zero hunger
Openalex Percentile: Top 17%
Genetic and phenotypic traits in livestock
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