Integrated Transcriptomics and Metabolomics Unveil Key Regulators of Feed Efficiency in Larimichthys crocea on Fishmeal‐Free Diets
Year: 2025
Type: article
Abstract: Understanding the molecular underpinnings of feed efficiency (FE) is crucial for advancing sustainable aquaculture, particularly under fishmeal‐free (FM‐free) dietary strategies. This study investigated the physiological, transcriptomic, and metabolomic differences between high‐FE and low‐FE Larimichthys crocea individuals fed a plant‐based diet. High‐FE fish exhibited significantly higher activities of hepatic amylase (AMS), hepatic lipase (HL), and lipoprotein lipase (LPL), as well as changed serum albumin (ALB) and peroxidase (POD) levels, suggesting enhanced digestive function and antioxidant capacity. Transcriptomic analysis revealed 239 differentially expressed genes (DEGs), with significant enrichment in steroid biosynthesis, ribosome biogenesis, and autophagy pathways. Genes involved in glycolysis were downregulated, indicating a metabolic shift toward increased reliance on lipid and protein catabolism. Metabolomic profiling identified 359 differentially expressed metabolites (DEMs), primarily comprising lipids and amino acids, enriched in pathways related to amino acid metabolism, energy production, and ABC transporter activity. Integrative O2PLS and correlation analyses identified tightly linked gene–metabolite pairs, such as pfkp and peptide fragment, and highlighted mao as a regulatory factor that links energy and protein digestion. Protein–protein interaction (PPI) analysis identified five hub genes ( tpi1 , tktl2 , fdps , pgam1 , and ldha ) that are central to metabolic coordination. These findings offer comprehensive insights into the metabolic reprograming and regulatory mechanisms underlying enhanced FE in L. crocea , highlighting potential molecular targets for selective breeding and feed optimization in FM‐free aquaculture systems.
Source: Aquaculture Nutrition
DOI: 10.1155/anu/2147842
Authors: Yuhan Jin, Gongsi Wang, Peng Ren, Lining Zhang, Qinghui Ai, Yunzhang Sun, Fang Han, Zhiyong Wang
Language: English
Subfield: Aquatic Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $2,350
Awards: G1941199263, G307452827
OpenAlex ID: W4412647170
