Evidence map›Paper›PMID 41120531›Full record

ArticleScientific reports2025

Leveraging metatranscriptomics for the characterisation of bovine blood viromes.

Barbara Brito, Matthew DeMaere, Ian Lean, Mark Hazelton, Brendon A O'Rourke, Edward C Holmes, John K House, Sam Rowe, Garry S A Myers, Piklu Roy Chowdhury

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Barbara BritoAustralian Institute for Microbiology and Infection, University of Technology Sydney, Ultimo, NSW, Australia. barbara.britorodriguez@uts.edu.au.
Matthew DeMaereAustralian Institute for Microbiology and Infection, University of Technology Sydney, Ultimo, NSW, Australia.
Ian LeanScibus, Camden, NSW, 2570, Australia.
Mark HazeltonDepartment of Primary Industries and Regional Development (DPIRD), New South Wales, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, Australia.
Brendon A O'RourkeDepartment of Primary Industries and Regional Development (DPIRD), New South Wales, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, Australia.
Edward C HolmesSchool of Medical Sciences, The University of Sydney, NSW, Sydney, Australia.
John K HouseFaculty of Science, Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, 2570, Australia.
Sam RoweFaculty of Science, Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, 2570, Australia.
Garry S A MyersAustralian Institute for Microbiology and Infection, University of Technology Sydney, Ultimo, NSW, Australia.
Piklu Roy ChowdhuryAustralian Institute for Microbiology and Infection, University of Technology Sydney, Ultimo, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the diversity of the bovine virome is essential for assessing their potential impact on cattle health and transmission risks. Viruses present in the blood comprise both those that establish persistent infections in blood cells and those present during transient viremia. Farm management practices, such as the reuse of syringes for treatments, vaccinations, and supplements, may inadvertently contribute to the spread of blood-borne pathogens, emphasizing the need for improved biosecurity measures. Herein, we used a metatranscriptomic approach to analyse 20 bovine blood transcriptomes from dairy cows in New South Wales, Australia, along with 577 publicly available blood transcriptomes from studies in Australia and Kenya. Our analysis identified several viruses that are known to infect blood cells, transmitted either by direct contact or by vectors, including bovine viral diarrhea virus, bovine gammaherpesvirus 6, hepacivirus, foamy virus, ephemeroviruses and a new species of a coltivirus. Our findings highlight the complexity of the bovine blood virome and underscore the importance of sustained surveillance to identify emerging pathogens and assess their potential role in cattle health. This study provides a framework for integrating transcriptomic data into disease monitoring efforts, ultimately contributing to improved cattle management and biosecurity practices.

Indexed as

Cattle DiseasesTranscriptomeViromeVirusesAnimalsCattleGene Expression ProfilingKenyaBlood viromeBovineMetagenomics

Identifiers

PMID41120531
PMCPMC12540862

What OpenQuestion 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 OpenQuestion graph.