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Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size
The persistence of genetic variation in master regulators of gene expression, such as quorum-sensing systems, is hard to explain. Here, we investigated two alternative hypotheses for the prevalence of polymorphic quorum sensing in Gram-positive bacteria, i.e., the use of different signal/receptor pa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267880/ https://www.ncbi.nlm.nih.gov/pubmed/32487754 http://dx.doi.org/10.1128/mBio.00535-20 |
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author | Zhou, Liqin Slamti, Leyla Lereclus, Didier Raymond, Ben |
author_facet | Zhou, Liqin Slamti, Leyla Lereclus, Didier Raymond, Ben |
author_sort | Zhou, Liqin |
collection | PubMed |
description | The persistence of genetic variation in master regulators of gene expression, such as quorum-sensing systems, is hard to explain. Here, we investigated two alternative hypotheses for the prevalence of polymorphic quorum sensing in Gram-positive bacteria, i.e., the use of different signal/receptor pairs (‘pherotypes’) to regulate the same functions. First, social interactions between pherotypes or ‘facultative cheating’ may favor rare variants that exploit the signals of others. Second, different pherotypes may increase fitness in different environments. We evaluated these hypotheses in the invertebrate pathogen Bacillus thuringiensis, using three pherotypes expressed in a common genetic background. Facultative cheating could occur in well-mixed host homogenates provided there was minimal cross talk between competing pherotypes. However, facultative cheating did not occur when spatial structure was increased in static cultures or in naturalistic oral infections, where common pherotypes had higher fitness. There was clear support for environment-dependent fitness; pherotypes varied in responsiveness to signals and in mean competitive fitness. Notably, competitive fitness varied with group size. In contrast to typical social evolution models of quorum sensing which predict higher response to signal at larger group size, the pherotype with highest responsiveness to signals performed best in smaller hosts where infections have a lower pathogen group size. In this system, low signal abundance appears to limit fitness in hosts, while the optimal level of response to signals varies in different host environments. |
format | Online Article Text |
id | pubmed-7267880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-72678802020-06-08 Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size Zhou, Liqin Slamti, Leyla Lereclus, Didier Raymond, Ben mBio Research Article The persistence of genetic variation in master regulators of gene expression, such as quorum-sensing systems, is hard to explain. Here, we investigated two alternative hypotheses for the prevalence of polymorphic quorum sensing in Gram-positive bacteria, i.e., the use of different signal/receptor pairs (‘pherotypes’) to regulate the same functions. First, social interactions between pherotypes or ‘facultative cheating’ may favor rare variants that exploit the signals of others. Second, different pherotypes may increase fitness in different environments. We evaluated these hypotheses in the invertebrate pathogen Bacillus thuringiensis, using three pherotypes expressed in a common genetic background. Facultative cheating could occur in well-mixed host homogenates provided there was minimal cross talk between competing pherotypes. However, facultative cheating did not occur when spatial structure was increased in static cultures or in naturalistic oral infections, where common pherotypes had higher fitness. There was clear support for environment-dependent fitness; pherotypes varied in responsiveness to signals and in mean competitive fitness. Notably, competitive fitness varied with group size. In contrast to typical social evolution models of quorum sensing which predict higher response to signal at larger group size, the pherotype with highest responsiveness to signals performed best in smaller hosts where infections have a lower pathogen group size. In this system, low signal abundance appears to limit fitness in hosts, while the optimal level of response to signals varies in different host environments. American Society for Microbiology 2020-06-02 /pmc/articles/PMC7267880/ /pubmed/32487754 http://dx.doi.org/10.1128/mBio.00535-20 Text en Copyright © 2020 Zhou et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Zhou, Liqin Slamti, Leyla Lereclus, Didier Raymond, Ben Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size |
title | Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size |
title_full | Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size |
title_fullStr | Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size |
title_full_unstemmed | Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size |
title_short | Optimal Response to Quorum-Sensing Signals Varies in Different Host Environments with Different Pathogen Group Size |
title_sort | optimal response to quorum-sensing signals varies in different host environments with different pathogen group size |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267880/ https://www.ncbi.nlm.nih.gov/pubmed/32487754 http://dx.doi.org/10.1128/mBio.00535-20 |
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