ArticleInternational journal of microbiology2026
Unravelling the Pathotype, Biofilm, Virulome and Resistome Profile of MultiDrug-Resistant Bacteria Isolated From Cattle Faeces Using Whole Genome Sequence Analysis.
Article in International journal of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Unravelling the Pathotype, Biofilm, Virulome and Resistome Profile of MultiDrug-Resistant Bacteria Isolated From Cattle Faeces Using Whole Genome Sequence Analysis.International journal of microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The high mortality and morbidity resulting from diarrhoeal cases worldwide are associated with the increasing incidence of antimicrobial resistance (AMR) and represent a serious public health concern. Cattle are a major reservoir of AMR organisms, and faecal shedding may facilitate their transmission into the food chain. This study examined the pathotype, biofilm, virulome and resistome profiles of bacteria isolated from cattle faeces using whole genome sequencing (WGS). Asymptomatic cattle faecal samples (
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Registered trials
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.