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Lineage space and the propensity of bacterial cells to undergo growth transitions
The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelated from the parent cell by noise and regulatory mechanisms that amplify phenotypic heterogeneity. Such regulatory mechanisms form networks that contain thresholds between phenotypes. Populations of ce...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122811/ https://www.ncbi.nlm.nih.gov/pubmed/30133447 http://dx.doi.org/10.1371/journal.pcbi.1006380 |
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author | Bandyopadhyay, Arnab Wang, Huijing Ray, J. Christian J. |
author_facet | Bandyopadhyay, Arnab Wang, Huijing Ray, J. Christian J. |
author_sort | Bandyopadhyay, Arnab |
collection | PubMed |
description | The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelated from the parent cell by noise and regulatory mechanisms that amplify phenotypic heterogeneity. Such regulatory mechanisms form networks that contain thresholds between phenotypes. Populations of cells can be poised near the threshold so that a subset of the population probabilistically undergoes the phenotypic transition. We sought to characterize the diversity of bacterial populations around a growth-modulating threshold via analysis of the effect of non-genetic inheritance, similar to conditions that create antibiotic-tolerant persister cells and other examples of bet hedging. Using simulations and experimental lineage data in Escherichia coli, we present evidence that regulation of growth amplifies the dependence of growth arrest on cellular lineage, causing clusters of related cells undergo growth arrest in certain conditions. Our simulations predict that lineage correlations and the sensitivity of growth to changes in toxin levels coincide in a critical regime. Below the critical regime, the sizes of related growth arrested clusters are distributed exponentially, while in the critical regime clusters sizes are more likely to become large. Furthermore, phenotypic diversity can be nearly as high as possible near the critical regime, but for most parameter values it falls far below the theoretical limit. We conclude that lineage information is indispensable for understanding regulation of cellular growth. |
format | Online Article Text |
id | pubmed-6122811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61228112018-09-15 Lineage space and the propensity of bacterial cells to undergo growth transitions Bandyopadhyay, Arnab Wang, Huijing Ray, J. Christian J. PLoS Comput Biol Research Article The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelated from the parent cell by noise and regulatory mechanisms that amplify phenotypic heterogeneity. Such regulatory mechanisms form networks that contain thresholds between phenotypes. Populations of cells can be poised near the threshold so that a subset of the population probabilistically undergoes the phenotypic transition. We sought to characterize the diversity of bacterial populations around a growth-modulating threshold via analysis of the effect of non-genetic inheritance, similar to conditions that create antibiotic-tolerant persister cells and other examples of bet hedging. Using simulations and experimental lineage data in Escherichia coli, we present evidence that regulation of growth amplifies the dependence of growth arrest on cellular lineage, causing clusters of related cells undergo growth arrest in certain conditions. Our simulations predict that lineage correlations and the sensitivity of growth to changes in toxin levels coincide in a critical regime. Below the critical regime, the sizes of related growth arrested clusters are distributed exponentially, while in the critical regime clusters sizes are more likely to become large. Furthermore, phenotypic diversity can be nearly as high as possible near the critical regime, but for most parameter values it falls far below the theoretical limit. We conclude that lineage information is indispensable for understanding regulation of cellular growth. Public Library of Science 2018-08-22 /pmc/articles/PMC6122811/ /pubmed/30133447 http://dx.doi.org/10.1371/journal.pcbi.1006380 Text en © 2018 Bandyopadhyay et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bandyopadhyay, Arnab Wang, Huijing Ray, J. Christian J. Lineage space and the propensity of bacterial cells to undergo growth transitions |
title | Lineage space and the propensity of bacterial cells to undergo growth transitions |
title_full | Lineage space and the propensity of bacterial cells to undergo growth transitions |
title_fullStr | Lineage space and the propensity of bacterial cells to undergo growth transitions |
title_full_unstemmed | Lineage space and the propensity of bacterial cells to undergo growth transitions |
title_short | Lineage space and the propensity of bacterial cells to undergo growth transitions |
title_sort | lineage space and the propensity of bacterial cells to undergo growth transitions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122811/ https://www.ncbi.nlm.nih.gov/pubmed/30133447 http://dx.doi.org/10.1371/journal.pcbi.1006380 |
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