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dc.contributor.advisorExtavour, Cassandra
dc.contributor.advisorKahne, Dan
dc.contributor.advisorLosick, Rich
dc.contributor.authorSirias, Denise
dc.date.accessioned2019-12-12T08:11:54Z
dash.embargo.terms2021-05-01
dc.date.created2019-05
dc.date.issued2019-05-16
dc.date.submitted2019
dc.identifier.citationSirias, Denise. 2019. Linking Self Versus Non-Self Recognition Genes and Their Function to Microbial Community Structure. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences.
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42029503*
dc.description.abstractMany bacterial species reside in dense communities, such as the gut and oral microbiomes, which retain a structural organization where genetically similar bacterial populations are physically separated. Key candidates for the organization of such structures are contact-dependent interactions, because these structures involve cell contact. These interactions can be competitive, as bacteria will be competing for the same resources. Bacteria use various secretion systems to deliver toxins or effector proteins into neighboring cells in a contact-dependent manner. Cells producing toxins have a competitive advantage by inhibiting growth of neighboring cells. The production of a strain-specific immunity protein by the recipient cell can counteract the effects of the toxin, making these interactions a form of self-recognition. Using biochemical and genetic approaches, I elucidated the target of the Proteus mirabilis BB2000-derived toxin, IdrD, and its immunity protein, IdrE. The C-terminal domain of IdrD functions as a DNase; IdrE counteracts this activity and causes loss of toxin signal by an unknown mechanism. The same molecular function was observed in the homologous toxin-immunity pair in the bacterium Rothia aeria C6B, which is distantly related to P. mirabilis. The molecular characterization was combined with metagenomic analysis. We are able to probe for the abundance of these toxin-immunity pairs in different communities, and even detect subdomains within the toxin. Combining molecular characterization with metagenomic analysis provides a way to study toxin-immunity pairs in the context of a microbial community.
dc.description.sponsorshipBiology, Molecular and Cellular
dc.format.mimetypeapplication/pdf
dc.language.isoen
dash.licenseLAA
dc.subjectpolymorphic toxin system
dc.subjectDNase
dc.subjectimmunity protein
dc.subjectmicrobial community structure
dc.titleLinking Self Versus Non-Self Recognition Genes and Their Function to Microbial Community Structure
dc.typeThesis or Dissertation
dash.depositing.authorSirias, Denise
dash.embargo.until2021-05-01
dc.date.available2019-12-12T08:11:54Z
thesis.degree.date2019
thesis.degree.grantorGraduate School of Arts & Sciences
thesis.degree.grantorGraduate School of Arts & Sciences
thesis.degree.levelDoctoral
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
thesis.degree.nameDoctor of Philosophy
dc.type.materialtext
thesis.degree.departmentBiology, Molecular and Cellular
thesis.degree.departmentBiology, Molecular and Cellular
dash.identifier.vireo
dash.author.emaildenisesirias22@gmail.com


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