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
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
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
S. Zhao, S. Mukherjee, C.-H. Hsu, S. Young, C. Li, H. Tate, C. Morales, J. Haro, S. Thitaram, G. Tillman, U. Dessai, P. F. McDermott
This study identifies a conjugative MDR plasmid carrying the cfr(C) gene in florfenicol-resistant Campylobacter coli from cattle, conferring resistance to multiple antimicrobials including linezolid.
bioRxiv · Apr 10, 2019Microbiology
M. Feldgarden, V. Brover, D. H. Haft, A. B. Prasad, D. J. Slotta, I. Tolstoy, G. H. Tyson, S. Zhao, C.-H. Hsu, P. F. McDermott, D. A. Tadesse, C. Morales, M. Simmons, G. Tillman, J. Wasilenko, , W. Klimke
This paper evaluates AMRFinder, a tool for detecting antimicrobial resistance genes, against phenotypic data from 6,242 isolates, finding high consistency and improved accuracy over previous methods.
bioRxiv · Feb 15, 2019Microbiology