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Co-Component Signal Transduction Systems: fast-evolving virulence regulation cassettes discovered in enteric bacteria
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Abstract
Bacterial signal transduction systems sense changes in the environment and transmit these signals to control cellular responses. The simplest one-component signal transduction systems include an input sensor domain and an output response domain encoded in a single protein chain. Alternately, two-component signal transduction systems transmit signals by phosphorelay between input and output domains from separate proteins. The membrane tethered periplasmic bile acid sensor that activates the
Vibrio parahaemolyticus
type III secretion system adopts an obligate heterodimer of two proteins encoded by partially overlapping
VtrA
and
VtrC
genes. This co-component signal transduction system binds bile acid using a lipocalin-like domain in VtrC and transmits the signal through the membrane to a cytoplasmic DNA-binding transcription factor in VtrA. Using the domain and operon organization of VtrA/VtrC, we identify a fast-evolving superfamily of co-component systems in enteric bacteria. Accurate machine learning-based fold predictions for the candidate co-components support their homology in the twilight zone of rapidly evolving sequence and provide mechanistic hypotheses about previously unrecognized lipid-sensing functions.
Significance statement
Using the domain and operon organization of VtrA/VtrC, combined with fold predictions, we identify new co-component signal transduction systems in enteric bacteria that likely regulate virulence. We observe that the heterodimeric VtrA/VtrC periplasmic bile acid receptor controlling
Vibrio parahaemolyticus
T3SS2 is a distant homolog of the ToxR/ToxS master regulator of virulence and has evolved beyond confident sequence recognition. Exploiting the newly developed machine learning methods for structure prediction, we observe a VtrC-like lipocalin fold for both the ToxS periplasmic domain and for other detected periplasmic sensor components. This structure prediction supports the divergent evolution of VtrA/VtrC-like co-component signal transduction systems and suggests a role for lipid sensing in regulating virulence in enteric bacteria.
Title: Co-Component Signal Transduction Systems: fast-evolving virulence regulation cassettes discovered in enteric bacteria
Description:
Abstract
Bacterial signal transduction systems sense changes in the environment and transmit these signals to control cellular responses.
The simplest one-component signal transduction systems include an input sensor domain and an output response domain encoded in a single protein chain.
Alternately, two-component signal transduction systems transmit signals by phosphorelay between input and output domains from separate proteins.
The membrane tethered periplasmic bile acid sensor that activates the
Vibrio parahaemolyticus
type III secretion system adopts an obligate heterodimer of two proteins encoded by partially overlapping
VtrA
and
VtrC
genes.
This co-component signal transduction system binds bile acid using a lipocalin-like domain in VtrC and transmits the signal through the membrane to a cytoplasmic DNA-binding transcription factor in VtrA.
Using the domain and operon organization of VtrA/VtrC, we identify a fast-evolving superfamily of co-component systems in enteric bacteria.
Accurate machine learning-based fold predictions for the candidate co-components support their homology in the twilight zone of rapidly evolving sequence and provide mechanistic hypotheses about previously unrecognized lipid-sensing functions.
Significance statement
Using the domain and operon organization of VtrA/VtrC, combined with fold predictions, we identify new co-component signal transduction systems in enteric bacteria that likely regulate virulence.
We observe that the heterodimeric VtrA/VtrC periplasmic bile acid receptor controlling
Vibrio parahaemolyticus
T3SS2 is a distant homolog of the ToxR/ToxS master regulator of virulence and has evolved beyond confident sequence recognition.
Exploiting the newly developed machine learning methods for structure prediction, we observe a VtrC-like lipocalin fold for both the ToxS periplasmic domain and for other detected periplasmic sensor components.
This structure prediction supports the divergent evolution of VtrA/VtrC-like co-component signal transduction systems and suggests a role for lipid sensing in regulating virulence in enteric bacteria.
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