Mechanistic modeling of bacterial nutrient uptake strategies
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/124116 |
| _version_ | 1826188553786228736 |
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| author | Norris, Noele Rosalie. |
| author2 | Emilio Frazzoli and Roman Stocker. |
| author_facet | Emilio Frazzoli and Roman Stocker. Norris, Noele Rosalie. |
| author_sort | Norris, Noele Rosalie. |
| collection | MIT |
| description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. |
| first_indexed | 2024-09-23T08:01:13Z |
| format | Thesis |
| id | mit-1721.1/124116 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:01:13Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1241162020-03-10T03:35:35Z Mechanistic modeling of bacterial nutrient uptake strategies Norris, Noele Rosalie. Emilio Frazzoli and Roman Stocker. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 155-172). 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. by Noele Rosalie Norris. Ph. D. Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2020-03-09T18:58:42Z 2020-03-09T18:58:42Z 2019 2019 Thesis https://hdl.handle.net/1721.1/124116 1142187796 eng 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. http://dspace.mit.edu/handle/1721.1/7582 172 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Norris, Noele Rosalie. Mechanistic modeling of bacterial nutrient uptake strategies |
| title | Mechanistic modeling of bacterial nutrient uptake strategies |
| title_full | Mechanistic modeling of bacterial nutrient uptake strategies |
| title_fullStr | Mechanistic modeling of bacterial nutrient uptake strategies |
| title_full_unstemmed | Mechanistic modeling of bacterial nutrient uptake strategies |
| title_short | Mechanistic modeling of bacterial nutrient uptake strategies |
| title_sort | mechanistic modeling of bacterial nutrient uptake strategies |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/124116 |
| work_keys_str_mv | AT norrisnoelerosalie mechanisticmodelingofbacterialnutrientuptakestrategies |