Evidence map›Paper›PMID 42022392›Full record

ReviewFrontiers in veterinary science2026

Next-generation detection in bovine respiratory and enteric diseases: metagenomic and amplicon sequencing insights into microbial diversity.

Zain Ul Abedien, Ian J Lean, Steven P Djordjevic, Paul M Hick, Mark E Westman, Janina Mckay-Demeler, John Webster, Barbara P Brito

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 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

8 authors.

Zain Ul AbedienAustralian Institute for Microbiology & Infection, University of Technology Sydney, Ultimo, NSW, Australia.
Ian J LeanSchool of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camden, NSW, Australia.
Steven P DjordjevicAustralian Institute for Microbiology & Infection, University of Technology Sydney, Ultimo, NSW, Australia.
Paul M HickNew South Wales Department of Primary Industries and Regional Development, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, Australia.
Mark E WestmanNew South Wales Department of Primary Industries and Regional Development, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, Australia.
Janina Mckay-DemelerNew South Wales Department of Primary Industries and Regional Development, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, Australia.
John WebsterNew South Wales Department of Primary Industries and Regional Development, Elizabeth Macarthur Agricultural Institute, Menangle, NSW, Australia.
Barbara P BritoAustralian Institute for Microbiology & Infection, University of Technology Sydney, Ultimo, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory and enteric diseases are major contributors to morbidity, mortality, and economic loss in cattle production, with significant implications for animal welfare, particularly in calves. Traditional diagnostic approaches have laid the foundation for pathogen detection in cattle, providing essential tools for disease surveillance and control. However, their targeted nature limits the capacity to identify unexpected, novel, or polymicrobial infections that often underlie complex respiratory and enteric syndromes. Recent advances in molecular technologies, particularly amplicon sequencing (metataxonomics), metagenomics, and metatranscriptomics, enable untargeted, high-resolution profiling of microbial communities directly from clinical samples, offering transformative potential for research and diagnostics. This review synthesises current applications of these approaches in bovine respiratory and enteric disease research, highlighting key findings across virology, bacteriology, and parasitology. Collectively, these studies have expanded the catalogue of the microbial diversity, yet their interpretation remains challenged by the still-evolving understanding of microbial contributions to pathogenesis. Progress toward clinical integration is further hindered by the need for methodological standardisation, validation, and improved interpretive frameworks. Looking ahead, advancing these technologies will require harmonised protocols, integration of multi-omics datasets, and robust experimental and epidemiological studies to establish causal links between microbial signatures and disease outcomes. By bridging discovery and application, these approaches hold the potential to enhance diagnostic accuracy, strengthen surveillance, and support sustainable cattle production systems. As these technologies continue to evolve, they are likely to play an increasingly central role in bovine disease research and diagnostics.

Indexed as

bovine respiratory diseasecalf enteric diseaseinfectious diseaseslivestockmetagenomics

Identifiers

PMID42022392
PMCPMC13097308

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.