Evidence map›Paper›PMID 36075991›Full record

ArticleArchives of microbiology2022

Diversity of gut methanogens and functional enzymes associated with methane metabolism in smallholder dairy cattle.

Denis K Ngetich, Rawlynce C Bett, Charles K Gachuiri, Felix M Kibegwa

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Heliyon · 2024
    Review
  3. Article
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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

4 authors at 1 institution in 1 country.

Denis K NgetichDepartment of Animal Production, University of Nairobi, Kangemi, P.O. Box 29053, Nairobi, 00625, Kenya. ngetichkipkorirdenis@gmail.com.ORCID http://orcid.org/0000-0002-1352-6445
Rawlynce C BettDepartment of Animal Production, University of Nairobi, Kangemi, P.O. Box 29053, Nairobi, 00625, Kenya.
Charles K GachuiriDepartment of Animal Production, University of Nairobi, Kangemi, P.O. Box 29053, Nairobi, 00625, Kenya.
Felix M KibegwaDepartment of Animal Production, University of Nairobi, Kangemi, P.O. Box 29053, Nairobi, 00625, Kenya.
University of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methane is a greenhouse gas with disastrous consequences when released to intolerable levels. Ruminants produce methane during gut fermentation releasing it through belching and/or flatulence. To better understand the diversity of methanogens and functional enzymes associated with methane metabolism in dairy cows, 48 samples; 6 rumen fluid and 42 dung samples were collected from Kenyan and Tanzanian farms and were analyzed using shotgun metagenomic approach. Statistical analysis for species frequency, relative abundance, percentages, and P values were undertaken using MS Excel and IBM SPSS statistics 20. The results showed archaea from 5 phyla, 9 classes, 16 orders, 25 families, 59 genera, and 87 species. Gut sites significantly contributed to the presence and distribution of various methanogens (P < 0.01). The class Methanomicrobia was abundant in the rumen samples (~ 39%) and dung (~ 44%). The most abundant (~ 17%) methanogen species identified was Methanocorpusculum labreanum. However, some taxonomic class data were unclassified (~ 6% in the rumen and ~ 4% in the dung). Five functional enzymes: Glycine/Serine hydroxymethyltransferase, Formylmethanofuran-tetrahydromethanopterin N-formyltransferase, Formate dehydrogenase, anaerobic carbon monoxide dehydrogenase, and catalase-peroxidase associated with methane metabolism were identified. KEGG functional metabolic analysis for the enzymes identified during this study was significant (P < 0.05) for five metabolism processes. The methanogen species abundances from this study in numbers/kind can be utilized exclusively or jointly as indirect selection criteria for methane mitigation. When targeting functional genes of the microbes/animal for better performance, the concern not to affect the host animal's functionality should be undertaken. Future studies should consider taxonomically categorizing unclassified species.

Indexed as

EuryarchaeotaAnimalsCattleFemaleKenyaMethaneRumenRuminantsMethaneEnzymesGreenhouseKenyaRuminantsSpeciesTanzania

Identifiers

PMID36075991
OpenAlexW4294982854

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.