ArticleScientific reports2019
Rumen Bacteria and Serum Metabolites Predictive of Feed Efficiency Phenotypes in Beef Cattle.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Comparative Study on Growth Performance and Rumen Digestive Metabolism Between Cull Beef Cows and Fattening Bulls.Animals : an open access journal from MDPI · 2026Article
- Integrative analysis of rumen microbiota and host multi-organ interactions underlying feed conversion efficiency in Hu sheep.Journal of animal science and biotechnology · 2026Article
- Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms.BMC genomics · 2025Article
- Integrated multi-omics analysis reveals rumen and rectal microbiota-metabolite interaction features in polytocous fine-wool sheep with divergent residual feed intake.Frontiers in microbiology · 2025Article
- Review
- Feeding live yeast (Saccharomyces cerevisiae) improved performance of mid-lactation dairy cows by altering ruminal bacterial communities and functions of serum antioxidation and immune responses.BMC veterinary research · 2024Article
- Alterations of rumen and fecal microbiome in growing beef and dairy steers fed rumen-protected Capsicum oleoresin.Journal of animal science · 2024Article
- Connecting the ruminant microbiome to climate change: insights from current ecological and evolutionary concepts.Frontiers in microbiology · 2024Review
- Effect of Rumen-Protected Methionine on Metabolic Profile of Liver, Muscle and Blood Serum Samples of Growing German Simmental Bulls Fed Protein-Reduced Diets.Metabolites · 2023Article
- Article
- Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows.Microorganisms · 2023Article
- Rumen and Fecal Microbiota Characteristics of Qinchuan Cattle with Divergent Residual Feed Intake.Microorganisms · 2023Article
- Average Daily Gain in Lambs Weaned at 60 Days of Age Is Correlated with Rumen and Rectum Microbiota.Microorganisms · 2023Article
- Effect of supplementation with ruminal probiotics on growth performance, carcass characteristics, plasma metabolites, methane emissions, and the associated rumen microbiome changes in beef cattle.Journal of animal science · 2023Article
- Concentrate supplementation improves cold-season environmental fitness of grazing yaks: responsive changes in the rumen microbiota and metabolome.Frontiers in microbiology · 2023Article
- Replacement of Maize Silage and Soyabean Meal with Mulberry Silage in the Diet of Hu Lambs on Growth, Gastrointestinal Tissue Morphology, Rumen Fermentation Parameters and Microbial Diversity.Animals : an open access journal from MDPI · 2022Article
- Duodenal Metabolic Profile Changes in Heat-Stressed Broilers.Animals : an open access journal from MDPI · 2022Article
- Evaluation of the Links between Lamb Feed Efficiency and Rumen and Plasma Metabolomic Data.Metabolites · 2022Article
- Dietary Concentrate-to-Forage Ratio Affects Rumen Bacterial Community Composition and Metabolome of Yaks.Frontiers in nutrition · 2022Article
- Small Intestine Microbiome and Metabolome of High and Low Residual Feed Intake Angus Heifers.Frontiers in microbiology · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rumen microbiome is critical to nutrient utilization and feed efficiency in cattle. Consequently, the objective of this study was to identify microbial and biochemical factors in Angus steers affecting divergences in feed efficiency using 16S amplicon sequencing and untargeted metabolomics. Based on calculated average residual feed intake (RFI), steers were divided into high- and low-RFI groups. Features were ranked in relation to RFI through supervised machine learning on microbial and metabolite compositions. Residual feed intake was associated with several features of the bacterial community in the rumen. Decreased bacterial α- (P = 0.03) and β- diversity (P < 0.001) was associated with Low-RFI steers. RFI was associated with several serum metabolites. Low-RFI steers had greater abundances of pantothenate (P = 0.02) based on fold change (high/low RFI). Machine learning on RFI was predictive of both rumen bacterial composition and serum metabolomic signature (AUC ≥ 0.7). Log-ratio proportions of the bacterial classes Flavobacteriia over Fusobacteriia were enriched in low-RFI steers (F = 6.8, P = 0.01). Reductions in Fusobacteriia and/or greater proportions of pantothenate-producing bacteria, such as Flavobacteriia, may result in improved nutrient utilization in low-RFI steers. Flavobacteriia and Pantothenate may potentially serve as novel biomarkers to predict or evaluate feed efficiency in Angus steers.
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