Author

R. Low

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· 2 Animal Behavior & Cognition· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:whole-genome sequencing· 3 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Organism:bacteria (other)· 1 Assay:behavioral assay· 1 Approach:comparative / phylogenetic analysis· 1

Frequent Co-Authors

N. Hall· 3 shared C. V. Pulford· 2 shared D. Heavens· 2 shared K. S. Baker· 2 shared A. Akrami· 1 shared A. J. Simpkin· 1 shared A. Pourdehghan· 1 shared A. V. Predeus· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersMicrobiology

N. Hall

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Different learning algorithms achieve shared optimal outcomes in humans, rats, and mice

E. Menichini, Q. Pajot-moric, R. Low, A. Pourdehghan, V. Pedrosa, P. Vincent, L. Teachen, L. Zhou, A. Akrami

The paper compares learning strategies in humans, rats, and mice during an auditory categorization task, finding that while all achieved near-optimal behavior, they used different internal representations.

bioRxiv · Jan 30, 2023 · PreprintAnimal Behavior & Cognition

An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes

B. M. Perez-Sepulveda, D. Heavens, C. V. Pulford, A. V. Predeus, R. Low, H. Webster, C. Schudoma, W. Rowe, J. Lipscombe, C. Watkins, B. Kumwenda, N. Shearer, K. Costigan, K. S. Baker, N. A. Feasey, , The 10KSG consortium

The paper describes a low-cost, efficient pipeline for large-scale bacterial genome sequencing, demonstrating its application in collecting and sequencing 10,419 isolates from multiple countries.

Genome Biology · Dec 21, 2021Peer-reviewedMicrobiology

Analysis of wild plant pathogen populations reveals a signal of adaptation in genes evolving for survival in agriculture in the beet rust pathogen (Uromyces beticola)

M. McMullan, L. Percival-Alwyn, K. Sawford, G. Kaithakottil, M. Grey, H. Yvanne, R. Low, S. Warring, D. Heavens, N. Peel, J. Kroboth, M. Stevens, D. Swarbreck, M. Clark, N. Hall

The paper compares genetic diversity in wild and agricultural populations of the beet rust pathogen to identify genes adapting to agriculture, finding greater divergence in fungal effector genes.

bioRxiv · Aug 12, 2021Evolutionary Biology

Informing shigellosis prevention and control through pathogen genomics

R. J. Bengtsson, A. J. Simpkin, C. V. Pulford, R. Low, D. A. Rasko, D. J. Rigden, N. Hall, E. M. Barry, S. M. Tennant, K. S. Baker

This study uses genomic analysis of Shigella strains from seven LMIC to show S. sonnei's high disease contribution and convergent antimicrobial resistance evolution, highlighting the need for updated vaccine and treatment strategies.

bioRxiv · Jun 9, 2021 · PreprintMicrobiology