Molecular Time Sharing through Dynamic Pulsing in Single Cells
Abstract
In cells, specific regulators often compete for limited amounts of a core enzymatic resource. It is typically assumed that competition leads to partitioning of core enzyme molecules among regulators at constant levels. Alternatively, however, different regulatory species could time share, or take turns utilizing, the core resource. Using quantitative time-lapse microscopy, we analyzed sigma factor activity dynamics, and their competition for RNA polymerase, in individual Bacillus subtilis cells under energy stress. Multiple alternative sigma factors were activated in ∼1-hr pulses in stochastic and repetitive fashion. Pairwise analysis revealed that two sigma factors rarely pulse simultaneously and that some pairs are anti-correlated, indicating that RNAP utilization alternates among different sigma factors. Mathematical modeling revealed how stochastic time-sharing dynamics can emerge from pulse-generating sigma factor regulatory circuits actively competing for RNAP. Time sharing provides a mechanism for cells to dynamically control the distribution of cell states within a population. Since core molecular components are limiting in many other systems, time sharing may represent a general mode of regulation.
Additional Information
© 2018 The Authors. Published by Elsevier Inc. Open Access funded by National Institutes of Health. Under a Creative Commons license, Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Received 7 March 2017, Revised 4 September 2017, Accepted 10 January 2018, Available online 14 February 2018. Published: February 14, 2018. Data and Software Availability: All data and software used in this manuscript are available upon request, for contact information see section 'Contact for Reagent and Resource Sharing'. Additional Resources: All relevant information, software, and data are provided in previous sections. Author Contributions: Conceptualization, J.P., M.D., J.G.-O., J.C.W.L., and M.B.E.; Methodology, J.P., M.D., J.G.-O., J.C.W.L., and M.B.E.; Software, J.P., M.D., Y.L., S.H., S.E.S.-U., S.Q., J.G.-O., J.C.W.L., and M.B.E.; Validation, J.P., M.D., M.J.H.-J, J.G.-O., J.C.W.L., and M.B.E.; Formal Analysis, J.P., M.D., Y.L., J.G.-O., J.C.W.L., and M.B.E.; Investigation, all authors; Writing, J.P., M.D., S.H., J.G.-O., J.C.W.L., and M.B.E.; Visualization, J.P., M.D., Y.L., S.H., J.G.-O., J.C.W.L., and M.B.E.; Funding Acquisition, J.P., M.D., J.G.-O., J.C.W.L., and M.B.E. The authors declare no competing interests. We would like to thank Matt Cabeen, Richard Losick, Nathan Lord, Johan Paulsson, and Suckjoon Jun for discussions and experimental training on the mother machine. We also thank members of the Elowitz lab for comments and feedback on the manuscript. This work was supported by NIH grants R01 GM079771B and R01 HD075605A (to M.B.E.), T32 GM07616 (to J.P.), and NIHGMS K99BM118910 (to S.H.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. It was also supported by National Science Foundation grant 1547056 and the Institute for Collaborative Biotechnologies through grant W911NF-09-0001 (KK9150) from the U.S. Army Research Office. The content of the information does not necessarily reflect the position or the policy of the government, and no official endorsement should be inferred. J.G.-O. and M.D. were supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and FEDER (project FIS2015-66503-C3-1-P), the ICREA Academia program, and the Maria de Maeztu Program for Units of Excellence in R&D (MINECO, project MDM-2014-0370). Work in the Locke laboratory was supported by the European Research Council under the European Union's Seventh Framework Program (FP/2007-2013)/ERC Grant Agreement 338060, a fellowship from the Gatsby Foundation (GAT3272/GLC), and an award from the Human Frontier Science Program (CDA00068/2012).Attached Files
Published - 1-s2.0-S2405471218300115-main.pdf
Supplemental Material - mmc1.pdf
Supplemental Material - mmc2.mp4
Supplemental Material - mmc3.mp4
Supplemental Material - mmc4.mp4
Files
Name | Size | Download all |
---|---|---|
md5:3911a520289bb12a8d843721e5ccb0d8
|
5.3 MB | Preview Download |
md5:31e00038371379d280966f11da345e7c
|
2.8 MB | Download |
md5:b9d3c54a522cefc7601ca625647a98ae
|
8.0 MB | Download |
md5:9a5a85881888368ac7a10371a3a91af0
|
6.7 MB | Download |
md5:d6f939286e25f730fc4e8384bbc2ece9
|
1.1 MB | Preview Download |
Additional details
- PMCID
- PMC6070344
- Eprint ID
- 84831
- Resolver ID
- CaltechAUTHORS:20180214-131202804
- NIH
- R01 GM079771B
- NIH
- R01 HD075605A
- NIH Predoctoral Fellowship
- T32 GM07616
- NIH
- K99BM118910
- NSF
- MCB-1547056
- Army Research Office (ARO)
- W911NF-09-0001
- Fondo Europeo de Desarrollo Regional (FEDER)
- FIS2015-66503-C3-1-P
- ICREA Academia program
- Ministerio de EconomÃa, Industria y Competitividad (MINECO)
- MDM-2014-0370
- European Research Council (ERC)
- 338060
- Gatsby Foundation
- GAT3272/GLC
- Human Frontier Science Program
- CDA00068/2012
- Created
-
2018-02-14Created from EPrint's datestamp field
- Updated
-
2022-03-17Created from EPrint's last_modified field