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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
11
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pubmed:dateCreated |
2008-5-15
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pubmed:abstractText |
Stochastic gene expression in bacteria can create a diverse protein distribution. Most of the current studies have focused on fluctuations around the mean, which constitutes the majority of a bacterial population. However, when the bacterial population is subject to a severe selection pressure, it is the properties of the minority cells that determine the fate of the population. The central question is whether phenotype heterogeneity, such as a spread in the expression level of a critical protein, is sufficient to account for the persistence of the bacteria under the selection. A related question is how long such persistence can last before genetic mutation becomes significant. In this work, survival statistics of a bacterial population with a diverse phage-receptor number distribution is theoretically investigated when the cells are subject to phage pressures. The calculations are compared with our experimental observations presented in Part I in this issue. The fundamental basis of our analysis is the Berg-Purcell theoretical result for the reaction rate between a phage particle and a bacterium with a discrete number of receptors, and the observation that most phage-resistant mutants isolated in laboratory cultures are defective in phage binding. It is shown that a heterogeneous bacterial population is significantly more fit compared to a homogeneous population when confronting a phage attack.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-1100596,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-12183631,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-12941595,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15016375,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15111419,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15166174,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15308767,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15687275,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15772163,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-15790857,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-16179466,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-164434,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-16541077,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-16590055,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-16715097,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-17434950,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-181582,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-2165606,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-6325162,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-911982,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18310241-9223333
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1542-0086
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
94
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
4537-48
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:18310241-Bacterial Outer Membrane Proteins,
pubmed-meshheading:18310241-Bacteriophage lambda,
pubmed-meshheading:18310241-Computer Simulation,
pubmed-meshheading:18310241-Escherichia coli,
pubmed-meshheading:18310241-Models, Biological,
pubmed-meshheading:18310241-Models, Statistical,
pubmed-meshheading:18310241-Porins,
pubmed-meshheading:18310241-Receptors, Virus,
pubmed-meshheading:18310241-Stochastic Processes
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pubmed:year |
2008
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pubmed:articleTitle |
Stochastic receptor expression allows sensitive bacteria to evade phage attack. Part II: theoretical analyses.
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pubmed:affiliation |
Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
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