Determination of cell fate selection during phage lambda Infection
Name
872277286-MIT.pdf
Description
Full printable version
Size
2.76 MB
Format
Adobe PDF
Checksum (MD5)
ac75e40255953ebafaec844f8ce95955
Author(s)
St-Pierre., François, Ph. D. Massachusetts Institute of Technology
Advisor(s)
Drew Endy and Chris Kaiser.
Date Issued
2009
Publisher
Massachusetts Institute of Technology
Abstract
Bacteriophage lambda infection of Escherichia coli can result in distinct cell fate outcomes: for example, some cells lyse while others survive as lysogens. A quantitative molecular model of lambda infection supports the hypothesis that spontaneous differences in the timing of individual molecular events during lambda infection leads to variation in the selection of cell fates. Building from this analysis, the lambda lysis-lysogeny decision now serves as a paradigm for how intrinsic biomolecular noise can influence cellular behavior, drive developmental processes, and produce population heterogeneity. The aim of this thesis is to re-evaluate lambda as a paradigm for stochastic behavior by determining whether and to what extent variation in cell fate selection results from pre-existing cell-cell differences rather than chance events during infection. I find that physical differences among cells present prior to infection can control lambda developmental outcomes. Specifically, variation in cell volume at the time of infection can be used to predict cell fate: small cells tend to produce lysogens while larger cells favor lytic growth. I then present evidence that the apparent sensitivity to host volume is encoded by components of the lambda regulatory network acting upstream or at the level of CII, a critical regulator of the lambda lysis-lysogeny decision. I also detail the construction and evaluation of new strains, tools and methodology to size-fractionate populations of cells, to detect lambda infection and gene expression at the single cell level, and to enumerate individual phage particles. My results motivate further research to understand how and to what extent natural biological systems tolerate, buffer or correct for spontaneous molecular variation during development in order to produce deterministic behavior.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages. 109-121).
Subjects
Biology.
MIT Department
Massachusetts Institute of Technology. Department of Biology
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