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Journal Article

Evolutionary Remodeling of Bacterial Motility Checkpoint Control

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Ni,  B.
Microbial Networks, Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Ghosh,  B.
Microbial Networks, Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Colin,  R.       
Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Sourjik,  V.       
Microbial Networks, Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;
Center for Synthetic Microbiology (SYNMIKRO);
DKFZ-ZMBH Alliance, Centre for Molecular Biology, Heidelberg;

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Citation

Ni, B., Ghosh, B., Paldy, F., Colin, R., Heimerl, T., & Sourjik, V. (2017). Evolutionary Remodeling of Bacterial Motility Checkpoint Control. Cell Reports, 18(4), 866-877. doi:10.1016/j.celrep.2016.12.088.


Cite as: https://hdl.handle.net/21.11116/0000-0007-BB35-B
Abstract
Regulatory networks play a central role in the relationship between genotype and phenotype in all organisms. However, the mechanisms that underpin the evolutionary plasticity of these networks remain poorly understood. Here, we used experimental selection for enhanced bacterial motility in a porous environment to explore the adaptability of one of the most complex networks known in bacteria. We found that the resulting phenotypic changes are mediated by adaptive mutations in several functionally different proteins, including multiple components of the flagellar motor. Nevertheless, this evolutionary adaptation could be explained by a single mechanism, namely remodeling of the checkpoint regulating flagellar gene expression. Supported by computer simulations, our findings suggest that the specific "bow-tie" topology of the checkpoint facilitates evolutionary tuning of the cost-benefit trade-off between motility and growth. We propose that bow-tie regulatory motifs, which are widespread in cellular networks, play a general role in evolutionary adaptation.