ArticleScientific reports2020
Investigation into the effect of divergent feed efficiency phenotype on the bovine rumen microbiota across diet and breed.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- A systematic review and meta-analysis: relationship between residual feed intake and traits related to methane emissions in cattle.Tropical animal health and production · 2025Pooled it
- Dairy manure reception pits as reservoirs of extracellular DNA-associated antibiotic resistance genes.Microbiology spectrum · 2026Article
- Host breed and geography shape the antiviral defense landscape of the bovine rumen microbiome.ISME communications · 2026Article
- Growing Tibetan Pigs Adapt to High-Fiber Diets by Enhancing Fiber Degradation Capacity.Veterinary sciences · 2025Article
- Metagenomic Applications to Herbivore Gut Microbiomes: A Comprehensive Review of Microbial Diversity and Host Interactions.Animals : an open access journal from MDPI · 2025Review
- Rumen microbiota associated with feed efficiency in beef cattle are highly influenced by diet composition.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025Article
- Dynamic Changes in Rumen Microbial Diversity and Community Composition Within Rumen Fluid in Response to Various Storage Temperatures and Preservation Times.Veterinary sciences · 2025Article
- Precision microbial regulation: Strategies for modulating GIT microbiota for host health.iMetaOmics · 2025Article
- Relationship between the rumen microbiome and liver transcriptome in beef cattle divergent for feed efficiency.Animal microbiome · 2024Article
- Exploration of mobile genetic elements in the ruminal microbiome of Nellore cattle.Scientific reports · 2024Article
- Use of methane production data for genetic prediction in beef cattle: A review.Translational animal science · 2024Article
- Methane emissions and rumen microbiome response during compensatory growth on either a forage or grain-based finishing diet in beef cattle.Translational animal science · 2024Article
- Connecting the ruminant microbiome to climate change: insights from current ecological and evolutionary concepts.Frontiers in microbiology · 2024Review
- Ruminal and feces metabolites associated with feed efficiency, water intake and methane emission in Nelore bulls.Scientific reports · 2023Article
- Drinking Warm Water Promotes Performance by Regulating Ruminal Microbial Composition and Serum Metabolites in Yak Calves.Microorganisms · 2023Article
- Molecular characterization and functionality of rumen-derived extracellular vesicles using aJournal of animal science and technology · 2023Article
- Rumen and Fecal Microbiota Characteristics of Qinchuan Cattle with Divergent Residual Feed Intake.Microorganisms · 2023Article
- Rumen and cecum bacteria of beef cattle that differ in feed efficiency fed a forage diet.Journal of animal science · 2023Article
- Different microbial genera drive methane emissions in beef cattle fed with two extreme diets.Frontiers in microbiology · 2023Article
- Fecal Microbiome Differences in Angus Steers with Differing Feed Efficiencies during the Feedlot-Finishing Phase.Microorganisms · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationship between rumen microbiota and host feed efficiency phenotype, for genetically divergent beef cattle breeds is unclear. This is further exacerbated when different growth stages, chemically diverse diets and production systems are considered. Residual feed intake (RFI), a measure of feed efficiency, was calculated for individually fed Charolais (CH) and Holstein-Friesian (HF) steers during each of four 70-day (excluding adaptation) successive dietary phases: namely, high-concentrate, grass silage, fresh zero-grazed grass and high-concentrate again. Rumen fluid from the ten highest- (HRFI) and ten lowest-ranking (LRFI) animals for RFI, within breed, during each dietary phase was collected using a trans-oesophageal sampler and subjected to 16S rRNA amplicon sequencing and metabolic profiling. The datasets were analysed to identify microbial and rumen fermentation markers associated with RFI status. Age, dietary phase and breed were included in the statistical model. Within breed, for each dietary phase, mid-test metabolic weight and average daily gain did not differ (P > 0.05) between HRFI and LRFI steers; however, for the initial high-concentrate, grass silage, fresh grass herbage and final high-concentrate dietary phases, HRFI HF steers consumed 19, 23, 18 and 27% more (P < 0.001) than their LRFI counterparts. Corresponding percentages for CH HRFI compared to CH LRFI steers were 18, 23, 13 and 22%. Ten OTUs were associated with RFI (q < 0.05) independent of the other factors investigated. Of these Methanomassiliicoccaceae, Mogibacteriaceae and the genus p-75-a5 of Erysipelotrichaceae and were negatively associated (q < 0.05) with RFI. The results gave evidence that microbial species could potentially be an indicator of RFI in ruminants rather than broader microbiome metrics; however, further research is required to elucidate this association.
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