MétaCan
Menu
Back to cohort
Record W4416850284 · doi:10.1186/s40104-025-01291-w

Short- and long-term dietary supplementation as well as withdrawal of the enteric methane inhibitor 3-nitrooxypropanol reveal distinct effects on the rumen microbial community

2025· article· en· W4416850284 on OpenAlexafffund
Youyoung Choi, Mi Zhou, Atmir Romero-Pérez, K. A. Beauchemin, Stéphane Duval, Maik Kindermann, Le Luo Guan

Bibliographic record

VenueJournal of Animal Science and Biotechnology/Journal of animal science and biotechnology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of AlbertaAgriculture and Agri-Food CanadaUniversity of British Columbia
FundersDSM Nutritional ProductsNatural Sciences and Engineering Research Council of CanadaBeef Cattle Research Council
KeywordsRumenMicrobial population biologyMethane emissionsFermentationAdaptabilityRuminantMethane

Abstract

fetched live from OpenAlex

BACKGROUND: The enteric methane inhibitor 3-nitrooxypropanol (3-NOP) inhibits the key enzyme in ruminal methanogenesis, but whether short-term (ST) and long-term (LT) dietary supplementation has similar effects on rumen microbiota in beef cattle and how microbes change after 3-NOP withdrawal have not been studied. This study investigated changes in rumen bacteria, archaea, and protozoa after ST and LT dietary supplementation and removal of 3-NOP using metataxonomic analysis. RESULTS: A total of 143 rumen samples were collected from two beef cattle studies with 3-NOP supplementation. The ST study (95 samples) used eight ruminally cannulated beef cattle in a 4 × 4 Latin square design with four 28-d of 3-NOP treatments [mg/kg of dry matter (DM)]: control: 0, low: 53, med: 161, and high: 345. The LT study (48 samples) was a completely randomized design with two 3-NOP treatments [control: 0, and high: 280 mg/kg of DM) fed for 112-d followed by a 16-d withdrawal (without 3-NOP). Bacterial and archaeal communities were significantly affected by 3-NOP supplementation but limited effects on protozoal communities were observed. Under ST supplementation, the relative abundances of Prevotella, Methanobrevibacter (Mbb.) ruminantium, Methanosphaera sp. ISO3-F5, and Entodinium were increased (Q < 0.05), whereas those of Mbb. gottschalkii and Epidinium were decreased (Q < 0.05) with 3-NOP supplementation. In LT study, relative abundances of Mbb. ruminantium, and Methanosphaera sp. Group5 were increased (Q < 0.05), while those of Saccharofermentans and Mbb. gottschalkii were decreased (Q < 0.05) with 3-NOP supplementation. Comparison between 3-NOP supplementation and the withdrawal revealed increased relative abundances of Clostridia UCG-014 and Oscillospiraceae NK4A214 group and decreased those of Eubacterium nodatum group and Methanosphaera sp. Group5 (P < 0.05) after 3-NOP withdrawal. Further comparison of rumen microbiota between control and 3-NOP withdrawal showed significantly higher (P = 0.029) relative abundances of Eggerthellaceae DNF00809, p-1088-a5 gut group, and Family XII UCG-001 in control group while no significant differences were detected for archaea and protozoa. Microbial network analysis revealed that microbial interactions differed by both 3-NOP dose and durations. CONCLUSIONS: Both ST and LT supplementation affected overall rumen microbial profile, with individual microbial groups responded to 3-NOP supplementation differently. After 3-NOP withdrawal, not all microbes showed recovery, indicating that the 3-NOP driven shifts were only partially reversible. These findings provide an understanding of the effects of 3-NOP on rumen microbial communities and their adaptability to methane mitigation strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.265
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Animal Science and Biotechnology/Journal of animal science and biotechnologySame topicRuminant Nutrition and Digestive PhysiologyFrench-language works237,207