ArticleBMC genomics2025
Integrating transcriptome and metabolome reveals sex-dependent meat quality regulation in Qiandongnan Xiaoxiang chickens.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Effects of variable incubation temperature during embryonic days 10-13 on leg muscle transcriptomics in day-old broiler and layer chicks.Scientific reports · 2026Article
- Age-driven marbling in Haimen goat meat: multi-omics dissection of lipid/amino signatures and IMF regulatory networks.Food chemistry: X · 2026Article
- Sex-dependent dynamic changes in pectoral muscle properties and gut microbiota composition in Qiandongnan Xiaoxiang chickens.Frontiers in microbiology · 2026Article
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3 authors.
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Abstract
This study integrated metabolomics and transcriptomics to elucidate molecular mechanisms regulating meat quality in Qiandongnan Xiaoxiang chickens across sexes and muscle types. Male chickens exhibited significantly higher shear force in breast and leg muscles (P < 0.01) and lower cooking loss in leg muscle (P < 0.05) compared to females. Metabolomic profiling identified 24 sex-differential metabolites, enriched in amino acid and nicotinate metabolism pathways. Transcriptomic analysis revealed 377 and 486 differentially expressed genes (DEGs) in breast and leg muscles between sexes, respectively, associated with steroid biosynthesis and energy metabolism. Integrative analysis highlighted histidine metabolism (characterized by anserine accumulation in females via MAOA upregulation) and nicotinate metabolism as key sex-specific pathways. Tissue comparisons demonstrated distinct regulation of linoleic acid metabolism, purine metabolism, and oxidative phosphorylation. These findings provide novel insights into molecular networks underlying meat quality differences and identify potential biomarkers for enhancing nutritional value in poultry breeding.
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