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Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution

Cell-to-cell communication in bacteria is a process known as quorum sensing that relies on the production, detection, and response to the extracellular accumulation of signaling molecules called autoinducers. Often, bacteria use multiple autoinducers to obtain information about the vicinal cell dens...

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Detalles Bibliográficos
Autores principales: Long, Tao, Tu, Kimberly C, Wang, Yufang, Mehta, Pankaj, Ong, N. P, Bassler, Bonnie L, Wingreen, Ned S
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2661960/
https://www.ncbi.nlm.nih.gov/pubmed/19320539
http://dx.doi.org/10.1371/journal.pbio.1000068
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author Long, Tao
Tu, Kimberly C
Wang, Yufang
Mehta, Pankaj
Ong, N. P
Bassler, Bonnie L
Wingreen, Ned S
author_facet Long, Tao
Tu, Kimberly C
Wang, Yufang
Mehta, Pankaj
Ong, N. P
Bassler, Bonnie L
Wingreen, Ned S
author_sort Long, Tao
collection PubMed
description Cell-to-cell communication in bacteria is a process known as quorum sensing that relies on the production, detection, and response to the extracellular accumulation of signaling molecules called autoinducers. Often, bacteria use multiple autoinducers to obtain information about the vicinal cell density. However, how cells integrate and interpret the information contained within multiple autoinducers remains a mystery. Using single-cell fluorescence microscopy, we quantified the signaling responses to and analyzed the integration of multiple autoinducers by the model quorum-sensing bacterium Vibrio harveyi. Our results revealed that signals from two distinct autoinducers, AI-1 and AI-2, are combined strictly additively in a shared phosphorelay pathway, with each autoinducer contributing nearly equally to the total response. We found a coherent response across the population with little cell-to-cell variation, indicating that the entire population of cells can reliably distinguish several distinct conditions of external autoinducer concentration. We speculate that the use of multiple autoinducers allows a growing population of cells to synchronize gene expression during a series of distinct developmental stages.
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spelling pubmed-26619602009-03-28 Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution Long, Tao Tu, Kimberly C Wang, Yufang Mehta, Pankaj Ong, N. P Bassler, Bonnie L Wingreen, Ned S PLoS Biol Research Article Cell-to-cell communication in bacteria is a process known as quorum sensing that relies on the production, detection, and response to the extracellular accumulation of signaling molecules called autoinducers. Often, bacteria use multiple autoinducers to obtain information about the vicinal cell density. However, how cells integrate and interpret the information contained within multiple autoinducers remains a mystery. Using single-cell fluorescence microscopy, we quantified the signaling responses to and analyzed the integration of multiple autoinducers by the model quorum-sensing bacterium Vibrio harveyi. Our results revealed that signals from two distinct autoinducers, AI-1 and AI-2, are combined strictly additively in a shared phosphorelay pathway, with each autoinducer contributing nearly equally to the total response. We found a coherent response across the population with little cell-to-cell variation, indicating that the entire population of cells can reliably distinguish several distinct conditions of external autoinducer concentration. We speculate that the use of multiple autoinducers allows a growing population of cells to synchronize gene expression during a series of distinct developmental stages. Public Library of Science 2009-03 2009-03-24 /pmc/articles/PMC2661960/ /pubmed/19320539 http://dx.doi.org/10.1371/journal.pbio.1000068 Text en © 2009 Long 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Long, Tao
Tu, Kimberly C
Wang, Yufang
Mehta, Pankaj
Ong, N. P
Bassler, Bonnie L
Wingreen, Ned S
Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
title Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
title_full Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
title_fullStr Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
title_full_unstemmed Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
title_short Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
title_sort quantifying the integration of quorum-sensing signals with single-cell resolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2661960/
https://www.ncbi.nlm.nih.gov/pubmed/19320539
http://dx.doi.org/10.1371/journal.pbio.1000068
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