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dc.contributor.advisorMartin F. Polz.en_US
dc.contributor.authorVanlnsberghe, David(David Stephen)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Biology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Microbiology Graduate Program.en_US
dc.date.accessioned2019-10-04T21:33:40Z
dc.date.available2019-10-04T21:33:40Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122422
dc.descriptionThesis: Ph. D. in Microbiology Graduate Program, Massachusetts Institute of Technology, Department of Biology, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractMicrobes have adapted to life in complex microbial communities in a large variety of ways, and they are continually evolving to better compete in their changing environments. But identifying the conditions that a particular microbe thrives under, and how they have become adapted to those condition can be exceedingly difficult. For instance, Clostridium difficile became widely known for being the world's leading cause of hospital associated diarrhea, but people can also have C. difficile in their gut without developing diarrhea. Although these asymptomatic carriers are now thought to be the largest source of infection, we know very little about how these people become colonized. In the first chapter of my thesis I use publicly available microbiome survey data and a mouse model of colonization to show that C. difficile colonizes people immediately after diarrheal illnesses, suggesting C. difficile is a disturbance adapted opportunist.en_US
dc.description.abstractHowever, the differences between very recently diverged microbial populations that are adapted for growth in different conditions can be very difficult to detect. To address this limitation, I developed a method of identifying regions that have undergone recent selective sweeps in these populations as a means of distinguishing them, and specifically quantifying their abundance in complex environments. But part of what makes microbial evolution so difficult to interpret is the vast diversity of genes that are only shared by a fraction of all the members in a population. To better understand how these flexible regions are structured, I systematically extracted all contiguous flexible regions in nine marine Vibrio populations and compared their organization and evolutionary histories.en_US
dc.description.abstractI found that horizontal gene transfer and social interactions have led to the evolution of modular gene clusters that mediate forms of social cooperation, metabolic tradeoffs, and make up a substantial portion of these flexible genomic regions. The observations made in these studies help us understand how microbes are organized into socially and ecologically cohesive groups, and how they have evolved to interact with complex and changing environments.en_US
dc.description.statementofresponsibilityby David VanInsberghe.en_US
dc.format.extent127 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectBiology.en_US
dc.subjectMicrobiology Graduate Program.en_US
dc.titleThe eco-evolutionary dynamics of microbial populationsen_US
dc.typeThesisen_US
dc.description.degreePh. D. in Microbiology Graduate Programen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Microbiology Graduate Programen_US
dc.identifier.oclc1120055045en_US
dc.description.collectionPh.D.inMicrobiologyGraduateProgram Massachusetts Institute of Technology, Department of Biologyen_US
dspace.imported2019-10-04T21:33:40Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentBioen_US


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