Evidence map›Paper›PMID 40277354›Full record

ArticlemSphere2025

Host-specific microbiome-rumination interactions shape methane-yield phenotypes in dairy cattle.

Alejandro Castaneda, Nagaraju Indugu, Kathryn Lenker, Kapil Narayan, Sarah Rassler, Joseph Bender, Linda Baker, Ojas Purandare, David Chai, Xin Zhao and 1 more

Abstract read
In one paragraph

Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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

11 authors.

Alejandro CastanedaDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6679-7233
Nagaraju InduguDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-9424-2155
Kathryn LenkerDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kapil NarayanDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sarah RasslerDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Joseph BenderDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Linda BakerDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ojas PurandareDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David ChaiDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Xin ZhaoDepartment of Animal Science, Faculty of Agricultural and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Québec, Canada.ORCID 0000-0002-1078-7332
Dipti PittaDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-3102-9119

Funding

U.S. Department of Agriculture USDA-NIFA-IDEAS 2021-10918
6 · The paper itself

Abstract

Enteric methane emissions (EMEs) negatively impact both the environment and livestock efficiency. Given the proposed link between CH IMPORTANCE: Methane emissions from livestock contribute to climate change and reduce animal efficiency. This study reveals that cows with longer rumination times (chewing cud for an extra 94 minutes daily) produce 26% less methane than cows with shorter rumination times. The gut microbiome plays a key role-low-methane cows host microbial communities that produce less methane while efficiently utilizing hydrogen for energy conservation in the rumen. By analyzing rumination sensor data and/or in combination with microbial profiles from rumen or fecal samples, farmers can non-invasively identify and select cows that naturally emit less methane. This scalable, cost-effective strategy offers a practical solution for reducing livestock's environmental footprint while enhancing efficiency and advancing climate-smart agriculture.

Indexed as

Gastrointestinal MicrobiomeHost Microbial InteractionsMethaneRumination, DigestiveAnimalsBacteriaCattleFecesFemalePhenotypeRumenMethaneeatingmethane emissionsmethane-yield phenotyperumen bacteriarumination

Identifiers

PMID40277354
PMCPMC12108071

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.