Doctor of Philosophy in Biology
In the
School of Biological Sciences
Kelly Leorah Michie
Will defend her dissertation
Probing Pseudomonas aeruginosa Physiology During Infection Using –Omics Techniques, Phenotypic Assays and Mouse models
Wednesday, July 8th, 2020
12:00 PM
https://bluejeans.com/515878425/1890
Meeting ID: 515 878 425
Passcode: 1890
Thesis Advisor:
Dr. Marvin Whiteley
School of Biological Sciences
Georgia Institute of Technology
Committee Members:
Dr. Edward Botchwey
School of Biomedical Engineering
Georgia Institute of Technology
Dr. Sam Brown
School of Biological Sciences
Georgia Institute of Technology
Dr. Greg Gibson
School of Biological Sciences
Georgia Institute of Technology
Dr. Joanna B. Goldberg
School of Biological and Biomedical Sciences
Emory University
ABSTRACT
The opportunistic pathogen Pseudomonas aeruginosa causes severe disease in people with compromised immune systems or co-morbidities such as diabetes or cystic fibrosis. Since even intense antibiotic regimens are often ineffective, there is a great need to better understand P. aeruginosa infection biology. Our first research goal was to elucidate the role of glutathione (GSH) biosynthesis for P. aeruginosa during infection. GSH is a major cellular antioxidant that is important for protection from oxidative stress. We found that GSH biosynthesis provides protection against some antimicrobials, such as bleach and ciprofloxacin. We also discovered that GSH biosynthesis provides a modest fitness benefit to P. aeruginosa in a mouse model of acute pneumonia, but not in chronic wound, abscess, and burn wound mouse models. Our second research goal was to characterize the transcriptomic and proteomic signatures of growth rate in P. aeruginosa. Growth rate has significant impacts on cellular physiology, from cell size to stress tolerance. We cultured P. aeruginosa at four different growth rates using a chemostat, and quantified mRNA and protein abundances using RNA-seq and proteomics mass spectrometry, respectively. We observed modest correlations between mRNA and protein expression. We also discovered that there was greater variation in mRNA expression compared to protein expression, and that mRNA expression was more strongly affected by changes in growth rate. We calculated protein-to-mRNA ratios, or conversion factors, which could be used to more accurately predict protein abundance from RNA-seq data. The information presented in this work may be useful for better understanding, and ultimately treating, P. aeruginosa infections.
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