Abstract
Two-component systems (TCS) that employ histidine kinases (HK) and response regulators (RR) are critical mediators of cellular signaling in bacteria. In the model cyanobacterium Synechococcus elongatus PCC 7942, TCSs control global rhythms of transcription that reflect an integration of time information from the circadian clock with a variety of cellular and environmental inputs. The HK CikA and the SasA/RpaA TCS transduce time information from the circadian oscillator to modulate downstream cellular processes. Despite immense progress in understanding of the circadian clock itself, many of the connections between the clock and other cellular signaling systems have remained enigmatic. To narrow the search for additional TCS components that connect to the clock, we utilized direct-coupling analysis (DCA), a statistical analysis of covariant residues among related amino acid sequences, to infer coevolution of new and known clock TCS components. DCA revealed a high degree of interaction specificity between SasA and CikA with RpaA, as expected, but also with the phosphate-responsive response regulator SphR. Coevolutionary analysis also predicted strong specificity between RpaA and a previously undescribed kinase, HK0480 (herein CikB). A knockout of the gene for CikB (cikB) in a sasA cikA null background eliminated the RpaA phosphorylation and RpaA-controlled transcription that is otherwise present in that background and suppressed cell elongation, supporting the notion that CikB is an interactor with RpaA and the clock network. This study demonstrates the power of DCA to identify subnetworks and key interactions in signaling pathways and of combinatorial mutagenesis to explore the phenotypic consequences. Such a combined strategy is broadly applicable to other prokaryotic systems.
| Original language | English |
|---|---|
| Pages (from-to) | 2439-2447 |
| Number of pages | 9 |
| Journal | Journal of Bacteriology |
| Volume | 198 |
| Issue number | 18 |
| DOIs | |
| State | Published - 2016 |
Bibliographical note
Publisher Copyright:© 2016, American Society for Microbiology.
Funding
This work, including the efforts of Joseph Samuel Boyd, Mark Paddock, Cigdem Sancar, and Susan S. Golden, was funded by HHS | National Institutes of Health (NIH) (R01GM062419). This work, including the efforts of Ryan Cheng and Faruck Morcos, was funded by National Science Foundation (NSF) (MCB-1214457 and PHY-1427654). This work, including the efforts of Ryan Cheng, was funded by National Science Foundation (NSF) (MCB-1241332).
| Funders | Funder number |
|---|---|
| National Institutes of Health (NIH) | |
| U.S. Department of Health and Human Services | |
| National Science Foundation Arctic Social Science Program | MCB-1241332, 1241332, PHY-1427654, MCB-1214457, 1214457 |
| National Institute of General Medical Sciences DP2GM119177 Sophie Dumont National Institute of General Medical Sciences | R35GM118290, R01GM062419 |
ASJC Scopus subject areas
- Microbiology
- Molecular Biology
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