Date of Award
8-1-2021
Language
English
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College/School/Department
Department of Biological Sciences
Content Description
1 online resource (v, 26 pages) : color illustrations.
Dissertation/Thesis Chair
Cheryl Andam
Committee Members
Alex Valm, Prashanth Rangan
Keywords
MRSA, MSSA, pan-genome, recombination, resistance, Staphylococcus aureus, Staphylococcus aureus infections, Drug resistance in microorganisms, Genetic recombination, Recombinant DNA
Subject Categories
Bioinformatics | Microbiology
Abstract
Staphylococcus aureus is a common commensal and opportunistic pathogen of humans. It causes a variety of diseases, ranging from skin and soft infections to life-threatening invasive diseases. Many strains of S. aureus have developed resistance to a variety of antibiotic classes, including many beta-lactams. The evolution and dissemination of antibiotic resistance in S. aureus lay in large part to its remarkable ability of acquiring DNA from other organisms through horizontal gene transfer and recombination. In this study, I elucidated the relationship between frequencies of recombination events and horizontally acquired antibiotic resistant genes in a population of S. aureus sampled from bloodstream infections. Results show that methicillin-resistant strains contain more horizontally acquired antibiotic resistance genes and are also frequently recombining more often than methicillin-susceptible strains. My findings are relevant for understanding the risk of emergence of individual S. aureus strains carrying acquired resistance genes, which have been increasingly reported and cause life-threatening infections that are extremely difficult to treat.
Recommended Citation
Matthews, Joseph R., "Elucidating the relationship between recombination frequency and antibiotic resistance in staphylococcus aureus" (2021). Legacy Theses & Dissertations (2009 - 2024). 2743.
https://scholarsarchive.library.albany.edu/legacy-etd/2743
Supplementary Table S2.xlsx (20 kB)
Supplementary Table S3.csv (6 kB)