Evidence map›Paper›PMID 42354892›Full record

ArticleMicroorganisms2026

Comparative Analysis of Bovine Fecal Microbiota and Short-Chain Fatty Acids Variation During Dry Period, Pregnancy and Lactation.

Morgan Obinna Okpara, Eleni Nikouli, Eleni Mente, Leonard Chidi Ugwuowo, Konstantinos Kormas

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Morgan Obinna OkparaDepartment of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 384 46 Volos, Greece.
Eleni NikouliDepartment of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 384 46 Volos, Greece.ORCID 0000-0002-2941-5053
Eleni MenteSchool of Veterinary Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.ORCID 0000-0002-9223-4351
Leonard Chidi UgwuowoDepartment of Animal Science, Faculty of Agriculture, Nnamdi Azikiwe University, Awka 420110, Nigeria.
Konstantinos KormasDepartment of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, 384 46 Volos, Greece.ORCID 0000-0002-8214-0175

Funding

International MSc Program "Host-Microbe Interactions" of the University of Thessaly
6 · The paper itself

Abstract

The bovine gut microbiota is crucial for many physiological functions, but how microbial interactions and related metabolic processes shift during pregnancy and lactation remains poorly understood. This study utilized fecal samples from 18 Bunaji (White Fulani) cows as a model to examine the gut microbial composition and structure across lactation, pregnancy, and the dry phase using 16S rRNA gene sequencing. Community composition analysis, alpha and beta diversity, LEfSe and correlation analyses were performed to explore the relationship between these reproductive stages, gut microbiota, and concentrations of short-chain fatty acids (SCFAs). Based on the Shannon and Simpson alpha diversity indices, no significant differences among the groups were found. However, beta diversity analysis revealed clear distinctions in microbial community structures between the groups. The most abundant microbial phyla across all three groups were the Bacillota (55-60%) and Bacteroidota (25-33%). At both the family and genus levels, cellulose-degrading bacteria such as Oscillospiraceae, Bacteroidaceae, Sphingobacteriaceae,

Indexed as

Bunaji White Fulani cattlegut microbiotahost-microbe interactionsreproductive stagesrumen

Identifiers

PMID42354892
PMCPMC13302829

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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.