Evidence map›Paper›PMID 41987215›Full record

ArticleMicrobiome2026

Genome-resolved multi-omics provide new insights into microbial nitrogen utilization by the rumen microbiota.

Ming Yan, Jeffrey Firkins, Jiarong Guo, Alejandro Relling, Zhongtang Yu

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ming YanDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Jeffrey FirkinsDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Jiarong GuoCenter for Microbial Ecology, Michigan State University, East Lansing, MI, USA.
Alejandro RellingDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Zhongtang YuDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA. yu.226@osu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimizing nitrogen (N) utilization in ruminant production systems holds both economic and environmental significance. However, traditional paradigms of N metabolism, derived primarily from well-studied model rumen bacteria, do not fully reflect the diverse and complex N metabolism in the rumen ecosystem.

resultsTo address this gap, we utilized comparative genomics and genome-resolved multi-omics analyses using a curated set of microbial genomes to investigate N assimilation and regulation in rumen microbes. We discovered that well-established mechanisms of ammonia assimilation and regulation, such as the glutamine synthetase (GS)/glutamate synthase (GOGAT) pathways and their regulatory proteins, are absent in many of the predominant rumen microbes, which likely utilize alternative pathways for ammonia assimilation. These findings challenge the applicability of E. coli-based N regulation models to rumen bacteria in response to ammonia availability. We further linked polysaccharide utilization and ammonia assimilation across hundreds of rumen microbial species. Furthermore, we identified specific microbial species involved in ureolysis and denitrification, as well as phages carrying auxiliary metabolic genes involved in N assimilation. Using an animal trial involving 11 pairs of lamb twins in a crossover design, we demonstrated that dietary crude protein (CP) at 10% and 13% had minimal impact on rumen microbiome composition and expression of N assimilation genes. Instead, changes in concentrate levels altered N assimilation, notably increasing expression of amino acid biosynthesis pathways.

conclusionThese findings indicate a nuanced, species-specific microbial response to dietary interventions, highlighting the limitations of traditional N metabolism models applied to rumen microbes and the need for more granular studies of rumen microbial ecosystems.

Indexed as

AmmoniaMicrobiotaMultiomicsNitrogenRumenAnimalsDenitrificationEscherichia coliFibrobacterGastrointestinal MicrobiomeGenome, BacterialGlutamate-Ammonia LigaseMalePrevotellaSheepAmmoniaGlutamate-Ammonia LigaseNitrogenAuxiliary metabolic genesMicrobial nitrogen utilizationRumen microbiome

Identifiers

PMID41987215
PMCPMC13196213

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.