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dc.contributor.advisorEmilio Frazzoli and Roman Stocker.en_US
dc.contributor.authorNorris, Noele Rosalie.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-03-09T18:58:42Z
dc.date.available2020-03-09T18:58:42Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/124116
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 155-172).en_US
dc.description.abstractBacteria have developed a variety of strategies to nd and consume the substrates necessary for both the cell's energy-consuming processes and for the additional biomass needed to replicate. A greater understanding of the diversity and regulation of these strategies can provide us with a number of insights relevant for a variety of applications, from predicting bacterial population dynamics and thus carbon-cycling rates in the ocean to bio-engineering bacteria into microscale robots. Here I use toy, mechanistic models of single-cell metabolism that allow me to quantify the costs and benefits of various nutrient uptake strategies. I find that: (i) a sensing-uptake trade-off governs E. coli's regulation of maltose uptake and chemotaxis to maltose; (ii) a rate-affinity trade-off in nutrient transport systems governs the speciation of marine oligotrophic and copiotrophic heterotrophs; and (iii) an exploration-conservation trade-off governs the prevalence of motility in the marine microbial world. This work thus provides new understanding of how both phenotypic diversity and cellular regulation are governed by trade-offs for maximizing growth rate in dierent environments.en_US
dc.description.statementofresponsibilityby Noele Rosalie Norris.en_US
dc.format.extent172 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.subjectElectrical Engineering and Computer Science.en_US
dc.titleMechanistic modeling of bacterial nutrient uptake strategiesen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1142187796en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-03-09T18:58:41Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentEECSen_US


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