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LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach
Quorum sensing (QS) enables bacterial multicellularity and selective advantage for communicating populations. While genetic “switching” phenomena are a common feature, their mechanistic underpinnings have remained elusive. The interplay between circuit components and their regulation are intertwined...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182856/ https://www.ncbi.nlm.nih.gov/pubmed/21980272 http://dx.doi.org/10.1371/journal.pcbi.1002172 |
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author | Hooshangi, Sara Bentley, William E. |
author_facet | Hooshangi, Sara Bentley, William E. |
author_sort | Hooshangi, Sara |
collection | PubMed |
description | Quorum sensing (QS) enables bacterial multicellularity and selective advantage for communicating populations. While genetic “switching” phenomena are a common feature, their mechanistic underpinnings have remained elusive. The interplay between circuit components and their regulation are intertwined and embedded. Observable phenotypes are complex and context dependent. We employed a combination of experimental work and mathematical models to decipher network connectivity and signal transduction in the autoinducer-2 (AI-2) quorum sensing system of E. coli. Negative and positive feedback mechanisms were examined by separating the network architecture into sub-networks. A new unreported negative feedback interaction was hypothesized and tested via a simple mathematical model. Also, the importance of the LsrR regulator and its determinant role in the E. coli QS “switch”, normally masked by interfering regulatory loops, were revealed. Our simple model allowed mechanistic understanding of the interplay among regulatory sub-structures and their contributions to the overall native functioning network. This “bottom up” approach in understanding gene regulation will serve to unravel complex QS network architectures and lead to the directed coordination of emergent behaviors. |
format | Online Article Text |
id | pubmed-3182856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31828562011-10-06 LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach Hooshangi, Sara Bentley, William E. PLoS Comput Biol Research Article Quorum sensing (QS) enables bacterial multicellularity and selective advantage for communicating populations. While genetic “switching” phenomena are a common feature, their mechanistic underpinnings have remained elusive. The interplay between circuit components and their regulation are intertwined and embedded. Observable phenotypes are complex and context dependent. We employed a combination of experimental work and mathematical models to decipher network connectivity and signal transduction in the autoinducer-2 (AI-2) quorum sensing system of E. coli. Negative and positive feedback mechanisms were examined by separating the network architecture into sub-networks. A new unreported negative feedback interaction was hypothesized and tested via a simple mathematical model. Also, the importance of the LsrR regulator and its determinant role in the E. coli QS “switch”, normally masked by interfering regulatory loops, were revealed. Our simple model allowed mechanistic understanding of the interplay among regulatory sub-structures and their contributions to the overall native functioning network. This “bottom up” approach in understanding gene regulation will serve to unravel complex QS network architectures and lead to the directed coordination of emergent behaviors. Public Library of Science 2011-09-29 /pmc/articles/PMC3182856/ /pubmed/21980272 http://dx.doi.org/10.1371/journal.pcbi.1002172 Text en Hooshangi, Bentley. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hooshangi, Sara Bentley, William E. LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach |
title | LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach |
title_full | LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach |
title_fullStr | LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach |
title_full_unstemmed | LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach |
title_short | LsrR Quorum Sensing “Switch” Is Revealed by a Bottom-Up Approach |
title_sort | lsrr quorum sensing “switch” is revealed by a bottom-up approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182856/ https://www.ncbi.nlm.nih.gov/pubmed/21980272 http://dx.doi.org/10.1371/journal.pcbi.1002172 |
work_keys_str_mv | AT hooshangisara lsrrquorumsensingswitchisrevealedbyabottomupapproach AT bentleywilliame lsrrquorumsensingswitchisrevealedbyabottomupapproach |