Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
6 papers
Recent·Most cited
A. Ottesen, B. J. Kocurek, E. Reed, S. Commichaux, M. K. Mammel, P. Ramachandran, P. F. McDermott, B. M. Flannery, E. A. Strain
The paper evaluates aflatoxin-contaminated dog kibble using paired metagenomic and chemical data to correlate fungal DNA abundance with toxin levels.
bioRxiv · Feb 14, 2024Microbiology
E. Kittel, T. Crosby, B. Kocurek, A. Ottesen, C. Gieseker
The paper describes the microbiome of channel catfish skin mucosa and aquaria water before and after exposure to chloramine-T.
bioRxiv · Nov 16, 2023Microbiology
A. Ottesen, B. J. Kocurek, C. Deaver, O. Chiesa, R. Cohen, M. K. Mammel, E. Reed, P. F. McDermott, E. A. Strain, M. Myers
The paper describes the fecal microbiome of laboratory beagles before and after antiparasitic drug administration to assess in vivo versus in vitro bioequivalence.
bioRxiv · Aug 8, 2023Microbiology
B. Kocurek, G. Martin, S. Behling, P. Ramachandran, E. Reed, C. J. Grim, M. Mammel, J. Zheng, A. Franklin, J. Garland, D. Tadesse, M. Sharma, G. Tyson, C. Kabera, H. Tate, , A. Ottesen
The paper surveys antimicrobial resistance in Maryland surface waters, finding higher prevalence of beta-lactamase genes in high human impact areas.
bioRxiv · Jun 20, 2023Microbiology
B. J. Kocurek, P. Ramachandran, C. J. Grim, P. Morin, L. Howard, A. Ottesen, R. E. Timme, S. R. Leonard, H. Rand, E. A. Strain, D. A. Tadesse, J. Pettengill, D. W. Lacher, M. K. Mammel, K. G. Jarvis
This study uses 16S rRNA and shotgun quasimetagenomic sequencing to analyze microbial diversity and subtype Listeria monocytogenes in food production facilities, establishing detection thresholds and providing insights for pathogen control.
bioRxiv · Nov 7, 2022 · PreprintMicrobiology
A. Ottesen, B. Kocurek, P. Ramachandran, E. Reed, S. Commichaux, G. Engelbach, M. Mammel, S. Saint Fleurant, S. Zhao, C. Kabera, A. Merrill, N. Bonin, H. Worley, N. Noyes, C. Boucher, , E. Strain
This study compares metagenomic and quasimetagenomic methods to detect antimicrobial resistance genes in surface waters, showing quasimetagenomic data identifies significantly more resistance determinants.
bioRxiv · Apr 22, 2022Microbiology