Comparative analysis of brain transcriptomics, intestinal metabolomics and intestinal microbial diversity between two body weight-differentiated groups of mandarin fish (Siniperca chuatsi) after artificial feed acclimation

After feeding carnivorous mandarin fish (Siniperca chuatsi) with formulated feed, obvious phenotypic differences in body weight and other traits were observed in the fish. Comparative analyses were conducted on the brain tissue transcriptome, intestinal metabolomics, and intestinal microbial diversity of the two groups with body weight differences, aiming to explore whether such differences are associated with individual gene expression levels, metabolic pathways, and intestinal microbiota. Compared to the easy-acclimation group (EA), the difficult-acclimation group (DA) exhibited significantly lower body weight and length (P < 0.05). Brain transcriptome analysis identified 1478 differentially expressed genes (DEGs), with key anorexigenic genes mc4r, htr1b, and lgr4 significantly upregulated in the DA group. KEGG enrichment analysis showed activation of pathways such as neuroactive ligand-receptor interaction. Metabolomics revealed a significant reduction of six key neuro-nutritional metabolites, including pyridoxine (vitamin B6), L-carnosine, and anserine in the DA group’s gut (|FC| > 5, P < 0.05), indicating impeded metabolic pathways. Correspondingly, the intestinal microbiota of group DA exhibited reduced diversity, dominated by genera such as Clostridium, Latilactobacillus, and Cetobacterium, whereas the EA group was enriched with beneficial genera like Megasphaera, Sanguibacter, and Muribaculum. Furthermore, correlation analysis revealed close associations between brain feeding genes, gut metabolites, and microbiota structure. The results of this study indicate that the observed differences in growth performance post-acclimation are associated with the synergistic regulation of brain gene expression, host metabolites, and intestinal microbiota. These results elucidate key molecular mechanisms in the acclimation process of mandarin fish.

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Journal
BMC Genomics
Published
2026-01-22
DOI
https://doi.org/10.1186/s12864-025-12446-4
Primary Topic
Aquaculture disease management and microbiota
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article
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article

Comparative analysis of brain transcriptomics, intestinal metabolomics and intestinal microbial diversity between two body weight-differentiated groups of mandarin fish (Siniperca chuatsi) after artificial feed acclimation

Yin Yuan, He Li, Ruobing Li, Youda Huang et al.
BMC Genomics
Aquaculture disease management and microbiota
article

Comparative analysis of brain transcriptomics, intestinal metabolomics and intestinal microbial diversity between two body weight-differentiated groups of mandarin fish (Siniperca chuatsi) after artificial feed acclimation

Yin Yuan, He Li, Ruobing Li, Youda Huang, Fubao Wang, Yongsheng Wang
article en

Abstract

After feeding carnivorous mandarin fish (Siniperca chuatsi) with formulated feed, obvious phenotypic differences in body weight and other traits were observed in the fish. Comparative analyses were conducted on the brain tissue transcriptome, intestinal metabolomics, and intestinal microbial diversity of the two groups with body weight differences, aiming to explore whether such differences are associated with individual gene expression levels, metabolic pathways, and intestinal microbiota. Compared to the easy-acclimation group (EA), the difficult-acclimation group (DA) exhibited significantly lower body weight and length (P < 0.05). Brain transcriptome analysis identified 1478 differentially expressed genes (DEGs), with key anorexigenic genes mc4r, htr1b, and lgr4 significantly upregulated in the DA group. KEGG enrichment analysis showed activation of pathways such as neuroactive ligand-receptor interaction. Metabolomics revealed a significant reduction of six key neuro-nutritional metabolites, including pyridoxine (vitamin B6), L-carnosine, and anserine in the DA group’s gut (|FC| > 5, P < 0.05), indicating impeded metabolic pathways. Correspondingly, the intestinal microbiota of group DA exhibited reduced diversity, dominated by genera such as Clostridium, Latilactobacillus, and Cetobacterium, whereas the EA group was enriched with beneficial genera like Megasphaera, Sanguibacter, and Muribaculum. Furthermore, correlation analysis revealed close associations between brain feeding genes, gut metabolites, and microbiota structure. The results of this study indicate that the observed differences in growth performance post-acclimation are associated with the synergistic regulation of brain gene expression, host metabolites, and intestinal microbiota. These results elucidate key molecular mechanisms in the acclimation process of mandarin fish.

BMC GenomicsVol. 27(1)
Agricultural Genomics Institute at Shenzhen (CN), Ji Hua Laboratory (CN), Research Institute of Animal Husbandry (MN)
Openalex Percentile: Top 80%
Aquaculture disease management and microbiota
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