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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/22808
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dc.contributor.advisorWright, Gerard-
dc.contributor.authorPawlowski, Andrew-
dc.date.accessioned2018-05-03T17:19:54Z-
dc.date.available2018-05-03T17:19:54Z-
dc.date.issued2017-11-24-
dc.identifier.urihttp://hdl.handle.net/11375/22808-
dc.description.abstractThe relentless evolution of antibiotic resistance in pathogens is one of the most pressing medical concerns of the 21st century. Antibiotic resistance and antibiotic drugs originated in environmental bacteria, where they have been integral to their evolution for millions of years. The application of antibiotics in medicine and agriculture has selected for mobilization and dissemination of resistance genes in pathogens. Understanding their evolution here will aid in combating their evolution in pathogens. This work expands the known mechanistic, functional, and genetic diversity of resistance (i.e. resistomes) in environmental bacteria. I systematically parse the extensively drug-resistant resistome of Paenibacillus sp. LC231, which was sampled from an underground ecosystem spatiotemporally isolated from the surface for over 4 Myr. Paenibacillus sp. LC231 was resistant to 26 of 40 drugs tested. Informatic annotation of resistance genes and functional genomes revealed 18 new resistance elements including five determinants without characterized homologs and three mechanisms not previously known to confer resistance. I investigated the resistome of Brevibacillus brevis VM4 to study the relationship between species diversity and resistance diversity in the Paenibacillaceae family, which includes Paenibacillus sp. LC231. I found that resistome diversity does not correlate with species diversity, consistent with horizontal transfer of resistance genes. In each of Paenibacillus sp. LC231 (MphI) and B. brevis VM4 (MphJ), I identified Mphs with unique substrate specifies. I identified the molecular determinants of substrate discrimination in MphI and in doing so, I developed a general strategy for understanding and predicting the functional evolution of resistance enzymes. Together, this work expands the known diversity of resistance that will enable better detection of resistance in pathogens.en_US
dc.language.isoenen_US
dc.subjectAntibioticsen_US
dc.subjectAntibiotic resistanceen_US
dc.subjectMicrobial evolutionen_US
dc.titleDiversity and Evolution of Antibiotic Resistomesen_US
dc.typeThesisen_US
dc.contributor.departmentBiochemistry and Biomedical Sciencesen_US
dc.description.degreetypeThesisen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
dc.description.layabstractInfections caused by antibiotic resistant bacteria are a significant medical problem. Bacteria will always become resistant to antibiotic drugs. Understanding how resistance evolves is essential for increasing the effective lifetime of these drugs. Antibiotics have been naturally produced by bacteria for millions of years, which caused the spread of resistance in environmental bacteria. Medical and agricultural antibiotic use by humans caused resistance in environmental bacteria to transfer to pathogenic bacteria. My work expands the known causes of resistance in environmental bacteria so that we can better detect the causes of resistance in pathogens. In doing so, I demonstrate that multi-drug resistance is over 4 million years old and that environmental bacteria naturally transfer resistance genes. Furthermore, I develop a way to predict the evolution of new resistance functions by inferring their evolutionary histories.en_US
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