Evidence map›Paper›PMID 40574982›Full record

ArticleFrontiers in microbiology2025

The genotypic characterization of

Marcus Yee, Michael J Trimble, Kazal Ghosh, Giselle Hughes, Daniel Knowles, Jun Duan, Stephen Raverty, Glenna McGregor, William W L Hsiao

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Marcus YeeDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
Michael J TrimbleDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
Kazal GhoshAnimal Health Centre, Ministry of Agriculture and Food, Government of British Columbia, Abbotsford, BC, Canada.
Giselle HughesAnimal Health Centre, Ministry of Agriculture and Food, Government of British Columbia, Abbotsford, BC, Canada.
Daniel KnowlesAnimal Health Centre, Ministry of Agriculture and Food, Government of British Columbia, Abbotsford, BC, Canada.
Jun DuanFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Stephen RavertyAnimal Health Centre, Ministry of Agriculture and Food, Government of British Columbia, Abbotsford, BC, Canada.
Glenna McGregorAnimal Health Centre, Ministry of Agriculture and Food, Government of British Columbia, Abbotsford, BC, Canada.
William W L HsiaoDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bovine abortions result in significant economic losses to dairy producers, and bacteria are among the most common causes of these abortions. In 2021, Methods: Between 2021 and 2023, Results: The BC strains had an average genome size of 2,313,582 base pairs and an average GC content of 38.59%. Based on whole genome phylogeny, the BC strains were clustered together and distinctly separated from other publicly available strains of this species from different regions and isolation sources. Through Clusters of Orthologous Groups analysis, the BC strains contained a larger proportion of genes associated with the mobilome. Additionally, although we identified only a few antibiotic resistance genes or virulence factors (VFs) in these strains, several of these genes were located within prophage sequences. Discussion: Although the clinical and pathological significance of these bacteria in most abortion cases remains unclear, our findings underscore the importance of continued surveillance and research into uncommon pathogens to better understand their biology and potential impact on human and animal health.

Indexed as

animal healthantimicrobial resistance (AMR)bovine abortionStreptococcus pluranimaliumwhole genome sequencing

Identifiers

PMID40574982
PMCPMC12199200

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.