TY - JOUR
T1 - Kinetic Buffering of Cross Talk between Bacterial Two-Component Sensors
AU - Groban, Eli S.
AU - Clarke, Elizabeth J.
AU - Salis, Howard M.
AU - Miller, Susan M.
AU - Voigt, Christopher A.
N1 - Funding Information:
C.A.V. was supported by the Office of Naval Research, the Pew Fellowship Program, the Packard Fellowship Program, the National Institutes of Health (EY016546 and AI067699), the National Science Foundation (BES-0547637), UC-Discovery, a Sandler Family Opportunity Award, and the SynBERC National Science Foundation Engineering Research Center ( www.synberc.org ). E.S.G. was supported by a Burroughs Wellcome Fellowship.
PY - 2009/7/17
Y1 - 2009/7/17
N2 - Two-component systems are a class of sensors that enable bacteria to respond to environmental and cell-state signals. The canonical system consists of a membrane-bound sensor histidine kinase that autophosphorylates in response to a signal and transfers the phosphate to an intracellular response regulator. Bacteria typically have dozens of two-component systems. The key questions are whether these systems are linear and, if they are, how cross talk between systems is buffered. In this work, we studied the EnvZ/OmpR and CpxA/CpxR systems from Escherichia coli, which have been shown previously to exhibit slow cross talk in vitro. Using in vitro radiolabeling and a rapid quenched-flow apparatus, we experimentally measured 10 biochemical parameters capturing the cognate and non-cognate phosphotransfer reactions between the systems. These data were used to parameterize a mathematical model that was used to predict how cross talk is affected as different genes are knocked out. It was predicted that significant cross talk between EnvZ and CpxR only occurs for the triple mutant ΔompR ΔcpxA ΔactA-pta. All seven combinations of these knockouts were made to test this prediction and only the triple mutant demonstrated significant cross talk, where the cpxP promoter was induced 280-fold upon the activation of EnvZ. Furthermore, the behavior of the other knockouts agrees with the model predictions. These results support a kinetic model of buffering where both the cognate bifunctional phosphatase activity and the competition between regulator proteins for phosphate prevent cross talk in vivo.
AB - Two-component systems are a class of sensors that enable bacteria to respond to environmental and cell-state signals. The canonical system consists of a membrane-bound sensor histidine kinase that autophosphorylates in response to a signal and transfers the phosphate to an intracellular response regulator. Bacteria typically have dozens of two-component systems. The key questions are whether these systems are linear and, if they are, how cross talk between systems is buffered. In this work, we studied the EnvZ/OmpR and CpxA/CpxR systems from Escherichia coli, which have been shown previously to exhibit slow cross talk in vitro. Using in vitro radiolabeling and a rapid quenched-flow apparatus, we experimentally measured 10 biochemical parameters capturing the cognate and non-cognate phosphotransfer reactions between the systems. These data were used to parameterize a mathematical model that was used to predict how cross talk is affected as different genes are knocked out. It was predicted that significant cross talk between EnvZ and CpxR only occurs for the triple mutant ΔompR ΔcpxA ΔactA-pta. All seven combinations of these knockouts were made to test this prediction and only the triple mutant demonstrated significant cross talk, where the cpxP promoter was induced 280-fold upon the activation of EnvZ. Furthermore, the behavior of the other knockouts agrees with the model predictions. These results support a kinetic model of buffering where both the cognate bifunctional phosphatase activity and the competition between regulator proteins for phosphate prevent cross talk in vivo.
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U2 - 10.1016/j.jmb.2009.05.007
DO - 10.1016/j.jmb.2009.05.007
M3 - Article
C2 - 19445950
AN - SCOPUS:67449095110
SN - 0022-2836
VL - 390
SP - 380
EP - 393
JO - Journal of Molecular Biology
JF - Journal of Molecular Biology
IS - 3
ER -