2015
DOI: 10.1016/j.mib.2014.12.003
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Temporal and evolutionary dynamics of two-component signaling pathways

Abstract: Bacteria sense and respond to numerous environmental signals through two-component signaling pathways. Typically, a given stimulus will activate a sensor histidine kinase to autophosphorylate and then phosphotransfer to a cognate response regulator, which can mount an appropriate response. Although these signaling pathways often appear to be simple switches, they can also orchestrate surprisingly sophisticated and complex responses. These temporal dynamics arise from several key regulatory features, including … Show more

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Cited by 76 publications
(61 citation statements)
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“…Two component systems typically consist of a bifunctional sensor kinase and a cognate response regulator (Salazar and Laub, 2015). The sensor kinase perceives an extracellular signal and activates its cognate response regulator through a two-step phosphorylation.…”
Section: Introductionmentioning
confidence: 99%
“…Two component systems typically consist of a bifunctional sensor kinase and a cognate response regulator (Salazar and Laub, 2015). The sensor kinase perceives an extracellular signal and activates its cognate response regulator through a two-step phosphorylation.…”
Section: Introductionmentioning
confidence: 99%
“…Many two-component signaling pathways also have feedback loops, both negative and positive. Active, phosphorylated response regulators will often promote the transcription of themselves and their cognate kinases, whereas some activate the expression of factors that downregulate pathway output (Shin et al, 2006;Miyashiro and Goulian, 2008;Lippa and Goulian, 2009;Ray and Igoshin, 2010;Gao and Stock, 2013b;Salazar and Laub, 2015). The cross-regulation of different two-component systems has also been observed in which a downstream target of one pathway modulates the phosphorylation state or activity of another pathway (Eguchi et al, 2007;Eguchi et al, 2012;Chen and Groisman, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…The complexity of regulatory circuitry determines the performance characteristics of the network and allows multiple regulatory inputs. The presence of autoregulatory and feedforward loops influences the responsiveness, cell-to-cell variation and temporal dynamics of gene expression within a network (Alon, 2007; Salazar and Laub, 2015). …”
Section: Regulatory Network and Signal Integrationmentioning
confidence: 99%