Uniqueness of Heilongjiang Mandarin Fish (Siniperca chuatsi): Identifying Growth-Related Functional Loci Through Whole-Genome Analysis Across Four Geographic Populations

To analyze growth trait differences and genetic characteristics of <i>Siniperca chuatsi</i> from distinct geographic populations, whole-genome resequencing was performed on 90 samples from Heilongjiang (HLJ), Hubei (HB), Hunan (HN), and Anhui (AH), and for the first time, population-unique growth-related loci were detected. Population structure analysis indicated that the four populations were genetically distinct (K = 4). A preliminary Genome-Wide Association Study (GWAS) revealed 26 significant growth-related SNPs linked to 158 potential functional genes, which were primarily enriched in Metabolic pathways, the NOD-like receptor signaling pathway, and Necroptosis, suggesting their possible roles in growth regulation. Non-tag SNP capture within functional genes yielded 24 known significant loci and 118 potentially linked loci. On this basis, one-way ANOVA ultimately identified 13 SNPs significantly associated with growth, and their advantageous genotypes were characterized. Notably, this study revealed, for the first time, that the HLJ population possesses six population-unique genotypes significantly linked to superior growth traits, which may represent population-restricted candidate markers associated with growth-related variation. The results of this study provide new candidate molecular markers and supporting data that may inform future breeding strategies pending further validation.

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Publication Details

Journal
Veterinary Sciences
Published
2026-01-07
DOI
https://doi.org/10.3390/vetsci13010055
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Uniqueness of Heilongjiang Mandarin Fish (Siniperca chuatsi): Identifying Growth-Related Functional Loci Through Whole-Genome Analysis Across Four Geographic Populations

H. Yang, Zhonggui Xie, Binglin Chen, Bo Li et al.
Veterinary Sciences
Genetic Associations and Epidemiology
article

Uniqueness of Heilongjiang Mandarin Fish (Siniperca chuatsi): Identifying Growth-Related Functional Loci Through Whole-Genome Analysis Across Four Geographic Populations

H. Yang, Zhonggui Xie, Binglin Chen, Bo Li, Qingyun Wang, Zhongbao GUO, Yongju Luo, Xiang Wang, Wei Xiao, Kai Cui, Zhiying Zou, Ying Zhang
article en

Abstract

To analyze growth trait differences and genetic characteristics of <i>Siniperca chuatsi</i> from distinct geographic populations, whole-genome resequencing was performed on 90 samples from Heilongjiang (HLJ), Hubei (HB), Hunan (HN), and Anhui (AH), and for the first time, population-unique growth-related loci were detected. Population structure analysis indicated that the four populations were genetically distinct (K = 4). A preliminary Genome-Wide Association Study (GWAS) revealed 26 significant growth-related SNPs linked to 158 potential functional genes, which were primarily enriched in Metabolic pathways, the NOD-like receptor signaling pathway, and Necroptosis, suggesting their possible roles in growth regulation. Non-tag SNP capture within functional genes yielded 24 known significant loci and 118 potentially linked loci. On this basis, one-way ANOVA ultimately identified 13 SNPs significantly associated with growth, and their advantageous genotypes were characterized. Notably, this study revealed, for the first time, that the HLJ population possesses six population-unique genotypes significantly linked to superior growth traits, which may represent population-restricted candidate markers associated with growth-related variation. The results of this study provide new candidate molecular markers and supporting data that may inform future breeding strategies pending further validation.

Veterinary SciencesVol. 13(1)
Anhui Academy of Agricultural Sciences (CN), Guangxi Zhuang Autonomous Region Health and Family Planning (CN), Wuhan Academy of Agricultural Sciences (CN), Chinese Academy of Fishery Sciences (CN)
Chinese Academy of Fishery Sciences
Life below water
Openalex Percentile: Top 95%
Genetic Associations and Epidemiology
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