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Evolutionary Stalling in the Optimization of the Translation Machinery

View ORCID ProfileSandeep Venkataram, Ross Monasky, Shohreh H Sikaroodi, View ORCID ProfileSergey Kryazhimskiy, View ORCID ProfileBetül Kaçar
doi: https://doi.org/10.1101/850644
Sandeep Venkataram
Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093
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Ross Monasky
Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721
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Shohreh H Sikaroodi
Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093Molecular engineering group, Fate Therapeutics Inc.
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Sergey Kryazhimskiy
Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093
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  • For correspondence: betul@arizona.edu skryazhi@ucsd.edu
Betül Kaçar
Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721
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  • ORCID record for Betül Kaçar
  • For correspondence: betul@arizona.edu skryazhi@ucsd.edu
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Abstract

Biological organisms are modular. Theory predicts that natural selection would steadily improve modules towards their performance optima up to the margin of effective neutrality. This classical theory may break down for populations evolving in the clonal interference regime because natural selection may focus on some modules while adaptation of others stalls. Such evolutionary stalling has not been observed and it is unclear whether it limits the power of natural selection to optimize module performance. To empirically characterize evolutionary stalling, we evolved populations of Escherichia coli with genetically perturbed translation machineries (TMs). We show that populations with different suboptimal TMs embark on statistically distinct trajectories of TM optimization. Yet, before TMs approach the margin of effective neutrality, the focus of natural selection shifts to other cellular modules, and TM optimization stalls. Our results suggest that module optimization within an organism may take much longer than suggested by classical theory.

Footnotes

  • https://github.com/sandeepvenkataram/EvoStalling

  • https://www.ncbi.nlm.nih.gov/bioproject/560969

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted November 24, 2019.
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Evolutionary Stalling in the Optimization of the Translation Machinery
Sandeep Venkataram, Ross Monasky, Shohreh H Sikaroodi, Sergey Kryazhimskiy, Betül Kaçar
bioRxiv 850644; doi: https://doi.org/10.1101/850644
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Evolutionary Stalling in the Optimization of the Translation Machinery
Sandeep Venkataram, Ross Monasky, Shohreh H Sikaroodi, Sergey Kryazhimskiy, Betül Kaçar
bioRxiv 850644; doi: https://doi.org/10.1101/850644

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