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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8287880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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