Integrated transcriptome and metabolome analysis of liver reveals unsynchronized growth mechanisms in blunt-snout bream (Megalobrama amblycephala)

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BackgroundMegalobrama amblycephala presents unsynchronized growth, which affects its productivity and profitability. The liver is essential for substance exchange and energy metabolism, significantly influencing the growth of fish.ResultsTo investigate the differential metabolites and genes governing growth, and understand the mechanism underlying their unsynchronized growth, we conducted comprehensive transcriptomic and metabolomic analyses of liver from fast-growing (FG) and slow-growing (SG) M. amblycephala individuals. A total of 2,097 differentially expressed genes (DEGs) were identified between FG and SG, with 830 genes exhibiting significantly higher expression level in FG. KEGG and GO enrichment analysis indicated that the DEGs with higher expression level were significantly correlated with insulin signaling pathway, steroid hormone and lipid metabolism related pathway (PPAR signaling pathway and fatty acid degradation). In the metabolomic analysis, 224 differentially expressed metabolites (DEMs) were detected, of which 128 were significantly more abundant in FG. These more abundant DEMs were prominently enriched in pathways associated with cell proliferation and energy metabolism (Oxidative phosphorylation, mTOR signaling pathway and FoxO signaling pathway). In addition, DEGs and DEMs in adenosine diphosphate (ATP) hydrolysis activity and associate with fatty acid metabolism, glucose metabolism, and amino acid metabolism pathways were both found in the transcriptomic and metabolomic integrated data. These findings suggest that the large amounts of energy generated by fatty acid, glucose metabolism and other energy metabolism pathway promote the rapid growth of FG.ConclusionsThis research is the first to integrate metabolomic and transcriptomic analyses of liver to identify key genes, metabolites, and pathways to uncover the molecular and metabolic mechanisms of unsynchronized growth in M. amblycephala. The identified metabolic and genes can be potential targets for selective breeding programs to improve growth performance in aquaculture.