Mechanistic modeling of bacterial nutrient uptake strategies
Author(s)Norris, Noele Rosalie.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Emilio Frazzoli and Roman Stocker.
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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.
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, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 155-172).
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Electrical Engineering and Computer Science.