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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Autores principales:	Tao Long, Kimberly C Tu, Yufang Wang, Pankaj Mehta, N P Ong, Bonnie L Bassler, Ned S Wingreen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/593df9569dd041339c6c5f24459dced4
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spelling	oai:doaj.org-article:593df9569dd041339c6c5f24459dced42021-11-25T05:33:45ZQuantifying the integration of quorum-sensing signals with single-cell resolution.1544-91731545-788510.1371/journal.pbio.1000068https://doaj.org/article/593df9569dd041339c6c5f24459dced42009-03-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19320539/?tool=EBIhttps://doaj.org/toc/1544-9173https://doaj.org/toc/1545-7885Cell-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.Tao LongKimberly C TuYufang WangPankaj MehtaN P OngBonnie L BasslerNed S WingreenPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Biology, Vol 7, Iss 3, p e68 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Tao Long Kimberly C Tu Yufang Wang Pankaj Mehta N P Ong Bonnie L Bassler Ned S Wingreen Quantifying the integration of quorum-sensing signals with single-cell resolution.
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.
format	article
author	Tao Long Kimberly C Tu Yufang Wang Pankaj Mehta N P Ong Bonnie L Bassler Ned S Wingreen
author_facet	Tao Long Kimberly C Tu Yufang Wang Pankaj Mehta N P Ong Bonnie L Bassler Ned S Wingreen
author_sort	Tao Long
title	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_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_sort	quantifying the integration of quorum-sensing signals with single-cell resolution.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/593df9569dd041339c6c5f24459dced4
work_keys_str_mv	AT taolong quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution AT kimberlyctu quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution AT yufangwang quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution AT pankajmehta quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution AT npong quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution AT bonnielbassler quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution AT nedswingreen quantifyingtheintegrationofquorumsensingsignalswithsinglecellresolution
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Quantifying the integration of quorum-sensing signals with single-cell resolution.

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