dc.contributor.advisor | Emilio Frazzoli and Roman Stocker. | en_US |
dc.contributor.author | Norris, Noele Rosalie. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2020-03-09T18:58:42Z | |
dc.date.available | 2020-03-09T18:58:42Z | |
dc.date.copyright | 2019 | en_US |
dc.date.issued | 2019 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/124116 | |
dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
dc.description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 | en_US |
dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 155-172). | en_US |
dc.description.abstract | Bacteria 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.statementofresponsibility | by Noele Rosalie Norris. | en_US |
dc.format.extent | 172 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT 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.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Mechanistic modeling of bacterial nutrient uptake strategies | en_US |
dc.type | Thesis | en_US |
dc.description.degree | Ph. D. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.identifier.oclc | 1142187796 | en_US |
dc.description.collection | Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
dspace.imported | 2020-03-09T18:58:41Z | en_US |
mit.thesis.degree | Doctoral | en_US |
mit.thesis.department | EECS | en_US |