Information processing and signal integration in bacterial quorum sensing

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dc.creatorMehta, Pankaj
dc.creatorGoyal, Sidhartha
dc.creatorLong, Tao
dc.creatorBassler, Bonnie
dc.creatorWingreen, Ned S.
dc.date2009-05-25
dc.date.accessioned2026-07-07T13:18:09Z
dc.date.available2026-07-07T13:18:09Z
dc.descriptionBacteria communicate using secreted chemical signaling molecules called autoinducers in a process known as quorum sensing. The quorum-sensing network of the marine bacterium {\it Vibrio harveyi} employs three autoinducers, each known to encode distinct ecological information. Yet how cells integrate and interpret the information contained within the three autoinducer signals remains a mystery. Here, we develop a new framework for analyzing signal integration based on Information Theory and use it to analyze quorum sensing in {\it V. harveyi}. We quantify how much the cells can learn about individual autoinducers and explain the experimentally observed input-output relation of the {\it V. harveyi} quorum-sensing circuit. Our results suggest that the need to limit interference between input signals places strong constraints on the architecture of bacterial signal-integration networks, and that bacteria likely have evolved active strategies for minimizing this interference. Here we analyze two such strategies: manipulation of autoinducer production and feedback on receptor number ratios.
dc.descriptionSupporting information is in appendix
dc.identifierhttps://arxiv.org/abs/0905.4092
dc.identifierhttp://arxiv.org/abs/0905.4092
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/231339
dc.subjectMolecular Networks
dc.subjectQuantitative Methods
dc.titleInformation processing and signal integration in bacterial quorum sensing
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