Author

M. J. Bowes

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1

Frequent Co-Authors

A. S. Walker· 2 shared A. T. M. Hubbard· 2 shared D. S. Read· 2 shared D. W. Crook· 2 shared H. S. Gweon· 2 shared J. Swann· 2 shared L. P. Shaw· 2 shared M. AbuOun· 2 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMicrobiology

A. S. Walker

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Author profile →

3 papers

Recent·Most cited

Niche and local geography shape the pangenome of wastewater- and livestock-associated Enterobacteriaceae

L. P. Shaw, K. K. Chau, J. Kavanagh, M. AbuOun, E. Stubberfield, H. S. Gweon, L. Barker, G. Rodger, M. J. Bowes, A. T. M. Hubbard, H. Pickford, J. Swann, D. Gilson, R. P. Smith, S. J. Hoosdally, , REHAB consortium

The paper analyzes the pangenome dynamics of Enterobacteriaceae from environmental sources, finding that plasmids carry more AMR genes and are influenced by niche and geography rather than phylogeny.

Science Advances · Apr 9, 2021Peer-reviewedMicrobiology

Impact of trimethoprim on the river microbiome and antimicrobial resistance.

J. Delaney, S. Raguideau, J. Holden, L. Zhang, H. Tipper, G. Hill, U. Klumper, T. Zhang, R. S. James, E. R. Travis, M. J. Bowes, P. M. Hawkey, H. S. Lindstrom, C. Tang, W. H. Gaze, , E. M. Wellington

This study investigates the relationship between trimethoprim concentrations and antimicrobial resistance gene prevalence in river sites across the Thames catchment, finding significant seasonal and land-use correlations.

bioRxiv · Jun 5, 2020 · PreprintMicrobiology

The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

H. S. Gweon, L. P. Shaw, J. Swann, N. De Maio, M. AbuOun, A. T. M. Hubbard, M. J. Bowes, M. J. Bailey, T. E. A. Peto, S. J. Hoosdally, A. S. Walker, R. P. Sebra, D. W. Crook, M. Anjum, D. S. Read, , The REHAB consortium

This study evaluates how sequencing depth affects taxonomic composition and AMR gene detection in metagenomic samples, finding that higher depth is needed for AMR gene richness.

bioRxiv · Mar 31, 2019Microbiology