Cargando…
Phenotypic heterogeneity in mycobacterial stringent response
BACKGROUND: A common survival strategy of microorganisms subjected to stress involves the generation of phenotypic heterogeneity in the isogenic microbial population enabling a subset of the population to survive under stress. In a recent study, a mycobacterial population of M. smegmatis was shown t...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045321/ https://www.ncbi.nlm.nih.gov/pubmed/21272295 http://dx.doi.org/10.1186/1752-0509-5-18 |
_version_ | 1782198810828603392 |
---|---|
author | Ghosh, Sayantari Sureka, Kamakshi Ghosh, Bhaswar Bose, Indrani Basu, Joyoti Kundu, Manikuntala |
author_facet | Ghosh, Sayantari Sureka, Kamakshi Ghosh, Bhaswar Bose, Indrani Basu, Joyoti Kundu, Manikuntala |
author_sort | Ghosh, Sayantari |
collection | PubMed |
description | BACKGROUND: A common survival strategy of microorganisms subjected to stress involves the generation of phenotypic heterogeneity in the isogenic microbial population enabling a subset of the population to survive under stress. In a recent study, a mycobacterial population of M. smegmatis was shown to develop phenotypic heterogeneity under nutrient depletion. The observed heterogeneity is in the form of a bimodal distribution of the expression levels of the Green Fluorescent Protein (GFP) as reporter with the gfp fused to the promoter of the rel gene. The stringent response pathway is initiated in the subpopulation with high rel activity. RESULTS: In the present study, we characterise quantitatively the single cell promoter activity of the three key genes, namely, mprA, sigE and rel, in the stringent response pathway with gfp as the reporter. The origin of bimodality in the GFP distribution lies in two stable expression states, i.e., bistability. We develop a theoretical model to study the dynamics of the stringent response pathway. The model incorporates a recently proposed mechanism of bistability based on positive feedback and cell growth retardation due to protein synthesis. Based on flow cytometry data, we establish that the distribution of GFP levels in the mycobacterial population at any point of time is a linear superposition of two invariant distributions, one Gaussian and the other lognormal, with only the coefficients in the linear combination depending on time. This allows us to use a binning algorithm and determine the time variation of the mean protein level, the fraction of cells in a subpopulation and also the coefficient of variation, a measure of gene expression noise. CONCLUSIONS: The results of the theoretical model along with a comprehensive analysis of the flow cytometry data provide definitive evidence for the coexistence of two subpopulations with overlapping protein distributions. |
format | Text |
id | pubmed-3045321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30453212011-03-01 Phenotypic heterogeneity in mycobacterial stringent response Ghosh, Sayantari Sureka, Kamakshi Ghosh, Bhaswar Bose, Indrani Basu, Joyoti Kundu, Manikuntala BMC Syst Biol Research Article BACKGROUND: A common survival strategy of microorganisms subjected to stress involves the generation of phenotypic heterogeneity in the isogenic microbial population enabling a subset of the population to survive under stress. In a recent study, a mycobacterial population of M. smegmatis was shown to develop phenotypic heterogeneity under nutrient depletion. The observed heterogeneity is in the form of a bimodal distribution of the expression levels of the Green Fluorescent Protein (GFP) as reporter with the gfp fused to the promoter of the rel gene. The stringent response pathway is initiated in the subpopulation with high rel activity. RESULTS: In the present study, we characterise quantitatively the single cell promoter activity of the three key genes, namely, mprA, sigE and rel, in the stringent response pathway with gfp as the reporter. The origin of bimodality in the GFP distribution lies in two stable expression states, i.e., bistability. We develop a theoretical model to study the dynamics of the stringent response pathway. The model incorporates a recently proposed mechanism of bistability based on positive feedback and cell growth retardation due to protein synthesis. Based on flow cytometry data, we establish that the distribution of GFP levels in the mycobacterial population at any point of time is a linear superposition of two invariant distributions, one Gaussian and the other lognormal, with only the coefficients in the linear combination depending on time. This allows us to use a binning algorithm and determine the time variation of the mean protein level, the fraction of cells in a subpopulation and also the coefficient of variation, a measure of gene expression noise. CONCLUSIONS: The results of the theoretical model along with a comprehensive analysis of the flow cytometry data provide definitive evidence for the coexistence of two subpopulations with overlapping protein distributions. BioMed Central 2011-01-27 /pmc/articles/PMC3045321/ /pubmed/21272295 http://dx.doi.org/10.1186/1752-0509-5-18 Text en Copyright ©2011 Ghosh et al; 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 Ghosh, Sayantari Sureka, Kamakshi Ghosh, Bhaswar Bose, Indrani Basu, Joyoti Kundu, Manikuntala Phenotypic heterogeneity in mycobacterial stringent response |
title | Phenotypic heterogeneity in mycobacterial stringent response |
title_full | Phenotypic heterogeneity in mycobacterial stringent response |
title_fullStr | Phenotypic heterogeneity in mycobacterial stringent response |
title_full_unstemmed | Phenotypic heterogeneity in mycobacterial stringent response |
title_short | Phenotypic heterogeneity in mycobacterial stringent response |
title_sort | phenotypic heterogeneity in mycobacterial stringent response |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045321/ https://www.ncbi.nlm.nih.gov/pubmed/21272295 http://dx.doi.org/10.1186/1752-0509-5-18 |
work_keys_str_mv | AT ghoshsayantari phenotypicheterogeneityinmycobacterialstringentresponse AT surekakamakshi phenotypicheterogeneityinmycobacterialstringentresponse AT ghoshbhaswar phenotypicheterogeneityinmycobacterialstringentresponse AT boseindrani phenotypicheterogeneityinmycobacterialstringentresponse AT basujoyoti phenotypicheterogeneityinmycobacterialstringentresponse AT kundumanikuntala phenotypicheterogeneityinmycobacterialstringentresponse |