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Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model

Understanding of the intracellular molecular machinery that is responsible for the complex collective behavior of multicellular populations is an exigent problem of modern biology. Quorum sensing, which allows bacteria to activate genetic programs cooperatively, provides an instructive and tractable...

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Autores principales: Goryachev, Andrew B, Toh, Da-Jun, Wee, Keng Boon, Lee, Travis, Zhang, Hai-Bao, Zhang, Lian-Hui
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1214540/
https://www.ncbi.nlm.nih.gov/pubmed/16170413
http://dx.doi.org/10.1371/journal.pcbi.0010037
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author Goryachev, Andrew B
Toh, Da-Jun
Wee, Keng Boon
Lee, Travis
Zhang, Hai-Bao
Zhang, Lian-Hui
author_facet Goryachev, Andrew B
Toh, Da-Jun
Wee, Keng Boon
Lee, Travis
Zhang, Hai-Bao
Zhang, Lian-Hui
author_sort Goryachev, Andrew B
collection PubMed
description Understanding of the intracellular molecular machinery that is responsible for the complex collective behavior of multicellular populations is an exigent problem of modern biology. Quorum sensing, which allows bacteria to activate genetic programs cooperatively, provides an instructive and tractable example illuminating the causal relationships between the molecular organization of gene networks and the complex phenotypes they control. In this work we—to our knowledge for the first time—present a detailed model of the population-wide transition to quorum sensing using the example of Agrobacterium tumefaciens. We construct a model describing the Ti plasmid quorum-sensing gene network and demonstrate that it behaves as an “on–off” gene expression switch that is robust to molecular noise and that activates the plasmid conjugation program in response to the increase in autoinducer concentration. This intracellular model is then incorporated into an agent-based stochastic population model that also describes bacterial motion, cell division, and chemical communication. Simulating the transition to quorum sensing in a liquid medium and biofilm, we explain the experimentally observed gradual manifestation of the quorum-sensing phenotype by showing that the transition of individual model cells into the “on” state is spread stochastically over a broad range of autoinducer concentrations. At the same time, the population-averaged values of critical autoinducer concentration and the threshold population density are shown to be robust to variability between individual cells, predictable and specific to particular growth conditions. Our modeling approach connects intracellular and population scales of the quorum-sensing phenomenon and provides plausible answers to the long-standing questions regarding the ecological and evolutionary significance of the phenomenon. Thus, we demonstrate that the transition to quorum sensing requires a much higher threshold cell density in liquid medium than in biofilm, and on this basis we hypothesize that in Agrobacterium quorum sensing serves as the detector of biofilm formation.
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spelling pubmed-12145402005-10-03 Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model Goryachev, Andrew B Toh, Da-Jun Wee, Keng Boon Lee, Travis Zhang, Hai-Bao Zhang, Lian-Hui PLoS Comput Biol Research Article Understanding of the intracellular molecular machinery that is responsible for the complex collective behavior of multicellular populations is an exigent problem of modern biology. Quorum sensing, which allows bacteria to activate genetic programs cooperatively, provides an instructive and tractable example illuminating the causal relationships between the molecular organization of gene networks and the complex phenotypes they control. In this work we—to our knowledge for the first time—present a detailed model of the population-wide transition to quorum sensing using the example of Agrobacterium tumefaciens. We construct a model describing the Ti plasmid quorum-sensing gene network and demonstrate that it behaves as an “on–off” gene expression switch that is robust to molecular noise and that activates the plasmid conjugation program in response to the increase in autoinducer concentration. This intracellular model is then incorporated into an agent-based stochastic population model that also describes bacterial motion, cell division, and chemical communication. Simulating the transition to quorum sensing in a liquid medium and biofilm, we explain the experimentally observed gradual manifestation of the quorum-sensing phenotype by showing that the transition of individual model cells into the “on” state is spread stochastically over a broad range of autoinducer concentrations. At the same time, the population-averaged values of critical autoinducer concentration and the threshold population density are shown to be robust to variability between individual cells, predictable and specific to particular growth conditions. Our modeling approach connects intracellular and population scales of the quorum-sensing phenomenon and provides plausible answers to the long-standing questions regarding the ecological and evolutionary significance of the phenomenon. Thus, we demonstrate that the transition to quorum sensing requires a much higher threshold cell density in liquid medium than in biofilm, and on this basis we hypothesize that in Agrobacterium quorum sensing serves as the detector of biofilm formation. Public Library of Science 2005-09 2005-09-16 /pmc/articles/PMC1214540/ /pubmed/16170413 http://dx.doi.org/10.1371/journal.pcbi.0010037 Text en Copyright: © 2005 Goryachev 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
Goryachev, Andrew B
Toh, Da-Jun
Wee, Keng Boon
Lee, Travis
Zhang, Hai-Bao
Zhang, Lian-Hui
Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
title Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
title_full Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
title_fullStr Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
title_full_unstemmed Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
title_short Transition to Quorum Sensing in an Agrobacterium Population: A Stochastic Model
title_sort transition to quorum sensing in an agrobacterium population: a stochastic model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1214540/
https://www.ncbi.nlm.nih.gov/pubmed/16170413
http://dx.doi.org/10.1371/journal.pcbi.0010037
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