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Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit

Genetically identical individuals in bacterial populations can display significant phenotypic variability. This variability can be functional, for example by allowing a fraction of stress prepared cells to survive an otherwise lethal stress. The optimal fraction of stress prepared cells depends on e...

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Autores principales: Schwall, Christian P, Loman, Torkel E, Martins, Bruno M C, Cortijo, Sandra, Villava, Casandra, Kusmartsev, Vassili, Livesey, Toby, Saez, Teresa, Locke, James C W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287880/
https://www.ncbi.nlm.nih.gov/pubmed/34286912
http://dx.doi.org/10.15252/msb.20209832
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author Schwall, Christian P
Loman, Torkel E
Martins, Bruno M C
Cortijo, Sandra
Villava, Casandra
Kusmartsev, Vassili
Livesey, Toby
Saez, Teresa
Locke, James C W
author_facet Schwall, Christian P
Loman, Torkel E
Martins, Bruno M C
Cortijo, Sandra
Villava, Casandra
Kusmartsev, Vassili
Livesey, Toby
Saez, Teresa
Locke, James C W
author_sort Schwall, Christian P
collection PubMed
description Genetically identical individuals in bacterial populations can display significant phenotypic variability. This variability can be functional, for example by allowing a fraction of stress prepared cells to survive an otherwise lethal stress. The optimal fraction of stress prepared cells depends on environmental conditions. However, how bacterial populations modulate their level of phenotypic variability remains unclear. Here we show that the alternative sigma factor σ(V) circuit in Bacillus subtilis generates functional phenotypic variability that can be tuned by stress level, environmental history and genetic perturbations. Using single‐cell time‐lapse microscopy and microfluidics, we find the fraction of cells that immediately activate σ(V) under lysozyme stress depends on stress level and on a transcriptional memory of previous stress. Iteration between model and experiment reveals that this tunability can be explained by the autoregulatory feedback structure of the sigV operon. As predicted by the model, genetic perturbations to the operon also modulate the response variability. The conserved sigma‐anti‐sigma autoregulation motif is thus a simple mechanism for bacterial populations to modulate their heterogeneity based on their environment.
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spelling pubmed-82878802021-07-23 Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit Schwall, Christian P Loman, Torkel E Martins, Bruno M C Cortijo, Sandra Villava, Casandra Kusmartsev, Vassili Livesey, Toby Saez, Teresa Locke, James C W Mol Syst Biol Articles Genetically identical individuals in bacterial populations can display significant phenotypic variability. This variability can be functional, for example by allowing a fraction of stress prepared cells to survive an otherwise lethal stress. The optimal fraction of stress prepared cells depends on environmental conditions. However, how bacterial populations modulate their level of phenotypic variability remains unclear. Here we show that the alternative sigma factor σ(V) circuit in Bacillus subtilis generates functional phenotypic variability that can be tuned by stress level, environmental history and genetic perturbations. Using single‐cell time‐lapse microscopy and microfluidics, we find the fraction of cells that immediately activate σ(V) under lysozyme stress depends on stress level and on a transcriptional memory of previous stress. Iteration between model and experiment reveals that this tunability can be explained by the autoregulatory feedback structure of the sigV operon. As predicted by the model, genetic perturbations to the operon also modulate the response variability. The conserved sigma‐anti‐sigma autoregulation motif is thus a simple mechanism for bacterial populations to modulate their heterogeneity based on their environment. John Wiley and Sons Inc. 2021-07-19 /pmc/articles/PMC8287880/ /pubmed/34286912 http://dx.doi.org/10.15252/msb.20209832 Text en © 2021 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Schwall, Christian P
Loman, Torkel E
Martins, Bruno M C
Cortijo, Sandra
Villava, Casandra
Kusmartsev, Vassili
Livesey, Toby
Saez, Teresa
Locke, James C W
Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
title Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
title_full Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
title_fullStr Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
title_full_unstemmed Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
title_short Tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
title_sort tunable phenotypic variability through an autoregulatory alternative sigma factor circuit
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287880/
https://www.ncbi.nlm.nih.gov/pubmed/34286912
http://dx.doi.org/10.15252/msb.20209832
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