Adaptable functionality of transcriptional feedback in bacterial two-component systems.

A widespread mechanism of bacterial signaling occurs through two-component systems, comprised of a sensor histidine kinase (SHK) and a transcriptional response regulator (RR). The SHK activates RR by phosphorylation. The most common two-component system structure involves expression from a single op...

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Autores principales:	J Christian J Ray, Oleg A Igoshin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/ea8ccb2b5c5a4998865a40a6ba08f862
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spelling	oai:doaj.org-article:ea8ccb2b5c5a4998865a40a6ba08f8622021-11-25T05:42:39ZAdaptable functionality of transcriptional feedback in bacterial two-component systems.1553-734X1553-735810.1371/journal.pcbi.1000676https://doaj.org/article/ea8ccb2b5c5a4998865a40a6ba08f8622010-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20168997/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358A widespread mechanism of bacterial signaling occurs through two-component systems, comprised of a sensor histidine kinase (SHK) and a transcriptional response regulator (RR). The SHK activates RR by phosphorylation. The most common two-component system structure involves expression from a single operon, the transcription of which is activated by its own phosphorylated RR. The role of this feedback is poorly understood, but it has been associated with an overshooting kinetic response and with fast recovery of previous interrupted signaling events in different systems. Mathematical models show that overshoot is only attainable with negative feedback that also improves response time. Our models also predict that fast recovery of previous interrupted signaling depends on high accumulation of SHK and RR, which is more likely in a positive feedback regime. We use Monte Carlo sampling of the parameter space to explore the range of attainable model behaviors. The model predicts that the effective feedback sign can change from negative to positive depending on the signal level. Variations in two-component system architectures and parameters may therefore have evolved to optimize responses in different bacterial lifestyles. We propose a conceptual model where low signal conditions result in a responsive system with effectively negative feedback while high signal conditions with positive feedback favor persistence of system output.J Christian J RayOleg A IgoshinPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 2, p e1000676 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 J Christian J Ray Oleg A Igoshin Adaptable functionality of transcriptional feedback in bacterial two-component systems.
description	A widespread mechanism of bacterial signaling occurs through two-component systems, comprised of a sensor histidine kinase (SHK) and a transcriptional response regulator (RR). The SHK activates RR by phosphorylation. The most common two-component system structure involves expression from a single operon, the transcription of which is activated by its own phosphorylated RR. The role of this feedback is poorly understood, but it has been associated with an overshooting kinetic response and with fast recovery of previous interrupted signaling events in different systems. Mathematical models show that overshoot is only attainable with negative feedback that also improves response time. Our models also predict that fast recovery of previous interrupted signaling depends on high accumulation of SHK and RR, which is more likely in a positive feedback regime. We use Monte Carlo sampling of the parameter space to explore the range of attainable model behaviors. The model predicts that the effective feedback sign can change from negative to positive depending on the signal level. Variations in two-component system architectures and parameters may therefore have evolved to optimize responses in different bacterial lifestyles. We propose a conceptual model where low signal conditions result in a responsive system with effectively negative feedback while high signal conditions with positive feedback favor persistence of system output.
format	article
author	J Christian J Ray Oleg A Igoshin
author_facet	J Christian J Ray Oleg A Igoshin
author_sort	J Christian J Ray
title	Adaptable functionality of transcriptional feedback in bacterial two-component systems.
title_short	Adaptable functionality of transcriptional feedback in bacterial two-component systems.
title_full	Adaptable functionality of transcriptional feedback in bacterial two-component systems.
title_fullStr	Adaptable functionality of transcriptional feedback in bacterial two-component systems.
title_full_unstemmed	Adaptable functionality of transcriptional feedback in bacterial two-component systems.
title_sort	adaptable functionality of transcriptional feedback in bacterial two-component systems.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/ea8ccb2b5c5a4998865a40a6ba08f862
work_keys_str_mv	AT jchristianjray adaptablefunctionalityoftranscriptionalfeedbackinbacterialtwocomponentsystems AT olegaigoshin adaptablefunctionalityoftranscriptionalfeedbackinbacterialtwocomponentsystems
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Adaptable functionality of transcriptional feedback in bacterial two-component systems.

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