Author

Mark Holmes

University of CambridgePrimary ORCID profile (0000-0002-1501-8604 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Mark HolmesiD1 paper · University of the Sunshine Coast

Biology Disciplines

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Ecology· 1 Genomics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Organism:plant (other)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew D.B. Leakey· 1 shared Beth BlaneiD· 1 shared Carolyne HorneriD· 1 shared Catherine LuddeniD· 1 shared Darshi BananiD· 1 shared Dorota M. JamrozyiD· 1 shared Francesc ColliD· 1 shared Frederik De LaenderiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperPlant Biology

Andrew D.B. Leakey

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3 papers

Recent·Most cited

Functional and biological diversity jointly shape growth and recovery of Synechococcus communities under stressors.

Mark Holmes, Sikder, Pauline Witsel, Frederik De Laender

This study examines how functional and biological diversity affect the growth and recovery of Synechococcus communities under different stressors.

bioRxiv · Apr 23, 2026 · PreprintEcology

One Health genomic surveillance of Escherichia coli demonstrates distinct lineages and mobile genetic elements in isolates from humans versus livestock

Catherine Ludden, Kathy E. Raven, Dorota M. Jamrozy, Theodore Gouliouris, Beth Blane, Francesc Coll, Marcus Christofoor de Goffau, Plamena Naydenova, Carolyne Horner, Juan Hernandez-Garcia, Paul M. Wood, Nazreen F. Hadjirin, Milorad Radakovic, Nicholas M. Brown, Mark Holmes, , Sharon J. Peacock

The paper compares E. coli isolates from humans and livestock to assess transmission and resistance gene sharing, finding genetic distinctions and limited shared antimicrobial resistance genes.

mBio · Jan 21, 2019Peer-reviewedGenomics

High fidelity detection of crop biomass QTL from low-cost imaging in the field

Darshi Banan, Rachel Paul, Max Feldman, Mark Holmes, Hannah Schlake, Ivan Baxter, Andrew D.B. Leakey

This paper develops a low-cost imaging system to detect biomass QTLs in field-grown crops, matching results from destructive methods.

bioRxiv · Jun 14, 2017 · PreprintPlant Biology