ArticleInternational journal of molecular sciences2025
Multi-Omics Analysis Revealed the Molecular Mechanisms Affecting Average Daily Gain in Cattle.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Nutrigenomics in precision livestock and poultry farming: Enhancing productivity, welfare, and sustainability through gene-tailored diets.Veterinary and animal science · 2026Review
- The developmental trajectory and maturation of the Hulunbuir sheep (Ovis aries) microbiome.Animal microbiome · 2026Article
- Multi-kingdom fecal microbiome and virus-host interactions associated with growth performance of indigenous beef calves in Guizhou.BMC microbiology · 2026Article
- Impact of reducing metagenomic sequencing depth on phenotypic prediction accuracy of feed intake and average daily gain in beef cattle.Journal of animal science · 2026Article
- Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025Review
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Authors and funding
10 authors.
Funding
Abstract
The average daily gain (ADG) is a critical index for evaluating growth rates in cattle and is closely linked to the economic benefits of the cattle industry. Heredity is one of the factors affecting the daily gain of cattle. However, the molecular mechanisms regulating ADG remain incompletely understood. This study aimed to systematically unravel the molecular mechanisms underlying the divergence in ADG between high average daily gain (HADG) and low average daily gain (LADG) Angus cattle through integrated multi-omics analyses (microbiome, metabolome, and transcriptome), hypothesizing that the gut microbiota-host gene-metabolism axis is a key regulatory network driving ADG divergence. Thirty Angus cattle were classified according to their HADG and LADG. Fecal and serum samples were collected for 16S, fecal metabolome, and blood transcriptome analysis. The results showed that compared with the LADG group, the abundance of Firmicutes increased in the HADG group, while the abundance of Bacteroidetes and Proteobacteria decreased. Metabolomics and transcriptomic analysis revealed that KEGG pathways associated with differentially expressed genes (DEGs) and differentially abundant metabolites (DAMs) were enriched in bile acid metabolism. Spearman correlation analysis showed that
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