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Factors influencing lysis time stochasticity in bacteriophage λ

BACKGROUND: Despite identical genotypes and seemingly uniform environments, stochastic gene expression and other dynamic intracellular processes can produce considerable phenotypic diversity within clonal microbes. One trait that provides a good model to explore the molecular basis of stochastic var...

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Detalles Bibliográficos
Autores principales: Dennehy, John J, Wang, Ing-Nang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166277/
https://www.ncbi.nlm.nih.gov/pubmed/21810267
http://dx.doi.org/10.1186/1471-2180-11-174
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author Dennehy, John J
Wang, Ing-Nang
author_facet Dennehy, John J
Wang, Ing-Nang
author_sort Dennehy, John J
collection PubMed
description BACKGROUND: Despite identical genotypes and seemingly uniform environments, stochastic gene expression and other dynamic intracellular processes can produce considerable phenotypic diversity within clonal microbes. One trait that provides a good model to explore the molecular basis of stochastic variation is the timing of host lysis by bacteriophage (phage). RESULTS: Individual lysis events of thermally-inducible λ lysogens were observed using a temperature-controlled perfusion chamber mounted on an inverted microscope. Both mean lysis time (MLT) and its associated standard deviation (SD) were estimated. Using the SD as a measure of lysis time stochasticity, we showed that lysogenic cells in controlled environments varied widely in lysis times, and that the level of lysis time stochasticity depended on allelic variation in the holin sequence, late promoter (p(R)') activity, and host growth rate. In general, the MLT was positively correlated with the SD. Both lower p(R)' activities and lower host growth rates resulted in larger SDs. Results from premature lysis, induced by adding KCN at different time points after lysogen induction, showed a negative correlation between the timing of KCN addition and lysis time stochasticity. CONCLUSIONS: Taken together with results published by others, we conclude that a large fraction of λ lysis time stochasticity is the result of random events following the expression and diffusion of the holin protein. Consequently, factors influencing the timing of reaching critical holin concentrations in the cell membrane, such as holin production rate, strongly influence the mean lysis time and the lysis time stochasticity.
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spelling pubmed-31662772011-09-03 Factors influencing lysis time stochasticity in bacteriophage λ Dennehy, John J Wang, Ing-Nang BMC Microbiol Research Article BACKGROUND: Despite identical genotypes and seemingly uniform environments, stochastic gene expression and other dynamic intracellular processes can produce considerable phenotypic diversity within clonal microbes. One trait that provides a good model to explore the molecular basis of stochastic variation is the timing of host lysis by bacteriophage (phage). RESULTS: Individual lysis events of thermally-inducible λ lysogens were observed using a temperature-controlled perfusion chamber mounted on an inverted microscope. Both mean lysis time (MLT) and its associated standard deviation (SD) were estimated. Using the SD as a measure of lysis time stochasticity, we showed that lysogenic cells in controlled environments varied widely in lysis times, and that the level of lysis time stochasticity depended on allelic variation in the holin sequence, late promoter (p(R)') activity, and host growth rate. In general, the MLT was positively correlated with the SD. Both lower p(R)' activities and lower host growth rates resulted in larger SDs. Results from premature lysis, induced by adding KCN at different time points after lysogen induction, showed a negative correlation between the timing of KCN addition and lysis time stochasticity. CONCLUSIONS: Taken together with results published by others, we conclude that a large fraction of λ lysis time stochasticity is the result of random events following the expression and diffusion of the holin protein. Consequently, factors influencing the timing of reaching critical holin concentrations in the cell membrane, such as holin production rate, strongly influence the mean lysis time and the lysis time stochasticity. BioMed Central 2011-08-02 /pmc/articles/PMC3166277/ /pubmed/21810267 http://dx.doi.org/10.1186/1471-2180-11-174 Text en Copyright ©2011 Dennehy and Wang; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dennehy, John J
Wang, Ing-Nang
Factors influencing lysis time stochasticity in bacteriophage λ
title Factors influencing lysis time stochasticity in bacteriophage λ
title_full Factors influencing lysis time stochasticity in bacteriophage λ
title_fullStr Factors influencing lysis time stochasticity in bacteriophage λ
title_full_unstemmed Factors influencing lysis time stochasticity in bacteriophage λ
title_short Factors influencing lysis time stochasticity in bacteriophage λ
title_sort factors influencing lysis time stochasticity in bacteriophage λ
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166277/
https://www.ncbi.nlm.nih.gov/pubmed/21810267
http://dx.doi.org/10.1186/1471-2180-11-174
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