Evidence map›Paper›PMID 41572152›Full record

ArticleBMC genomics2026

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, Yuezhen Huang, He Li, Ruobing Li, Fubao Wang, Yongsheng Wang

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Yin Yuan *Agricultural Genomics Institute, Kunpeng Institute of Modern Agriculture at Foshan, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China.
Yuezhen Huang *Agricultural Genomics Institute, Kunpeng Institute of Modern Agriculture at Foshan, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China.
He LiHinggan League Institute of Agricultural and Husbandry Sciences, Ulanhot, 137400, China.
Ruobing LiAgricultural Genomics Institute, Kunpeng Institute of Modern Agriculture at Foshan, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China.
Fubao WangGuangdong Special Aquatic Functional Feed Engineering Technology Research Center, Guangdong Jieda Feed Co., Foshan, 528211, China. wfb1105@163.com.
Yongsheng WangAgricultural Genomics Institute, Kunpeng Institute of Modern Agriculture at Foshan, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China. wangyongsheng@caas.cn.

Funding

Excellent Fish Program of Kunpeng Institute of Modern Agricultural Research at Foshan, China 2023002Technology innovation of self-financing of Foshan city of China 2320001008287
6 · The paper itself

Abstract

backgroundAfter 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.

resultsCompared 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.

conclusionThe 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.

Indexed as

AcclimatizationAnimal FeedBrainFishesGastrointestinal MicrobiomeMetabolomeMetabolomicsTranscriptomeAnimalsBody WeightGene Expression ProfilingMultiomicsArtificial feedMetabolomicsMicrobial diversitySiniperca ChuatsiTranscriptomics

Identifiers

PMID41572152
PMCPMC12910904

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