Evidence map›Paper›PMID 42733092›Full record

ArticleScientific reports2026

Uncovering the genomic landscape of Mycobacterium bovis in Wales.

Amy J E Healey, Cate L Williams, Nicholas J Dimonaco, Terry Galloway, Richard J Ellis, Eleftheria Palkopoulou, James Strong, Amanda J Gibson, R Glyn Hewinson, Jessica C A Friedersdorff

Abstract read
In one paragraph

Article in Scientific reports, 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

10 authors.

Amy J E HealeyDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales.
Cate L WilliamsDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales.
Nicholas J DimonacoDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales.
Terry GallowayAnimal and Plant Health Agency, Carmarthen Field Services, Ty Merlin, Heol Glasdwr, Parc Pensarn, SA31 2NF, Carmarthen, Wales.
Richard J EllisSurveillance and Laboratory Services Department, Animal and Plant Health Agency Weybridge, KT15 3NB, New Haw, Surrey, UK.
Eleftheria PalkopoulouDepartment of Bacteriology, Animal and Plant Health Agency Weybridge, KT15 3NB, New Haw, Surrey, UK.
James StrongDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales.
Amanda J GibsonDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales.
R Glyn HewinsonDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales.
Jessica C A FriedersdorffDepartment of Life Sciences, Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, Wales. jess@friedersdorff.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine tuberculosis (bTB), caused by the bacterium Mycobacterium bovis, is one of the most pressing animal health issues in Wales today. It negatively impacts cattle health, affects profitability and trade, and can decimate years of genetic improvement towards desirable production traits. It also imposes substantial financial, social, and psychological burdens on farming communities. Eradication of bTB requires an understanding of local transmission pathways to target effective disease-control interventions. In this study, we characterised the genomic diversity of M. bovis across Wales by analysing the genome sequence of 379 M. bovis isolates obtained from culture-positive animals in Wales in 2021. Analyses uncovered three prevalent clusters that are geographically distinct. A further three clusters containing fewer isolates were also geographically separated, two of which had particularly large SNP distances from most other Welsh isolates, suggesting independent introductions of M. bovis strains that are not endemic to Wales. Fine-scale and epidemiologically relevant genetic structuring was identified within the six main clusters, indicating region-specific evolution, which can drive local disease dynamics. Finally, SNPs were identified in coding genes that have the potential for important advantageous physiological consequences that may impact host-pathogen interactions and necessitate further investigation.

Indexed as

Genome, BacterialMycobacterium bovisTuberculosis, BovineAnimalsCattleGenomicsPhylogenyPolymorphism, Single NucleotideWalesBovine tuberculosisMolecular epidemiologyMTBCPopulation structureSNPsWales

Identifiers

PMID42733092
PMCPMC13572552

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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.