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Optimization of lag phase shapes the evolution of a bacterial enzyme

Bharat V. Adkar, View ORCID ProfileMichael Manhart, Sanchari Bhattacharyya, Jian Tian, Michael Musharbash, Eugene I. Shakhnovich
doi: https://doi.org/10.1101/088013
Bharat V. Adkar
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA 02138, USA
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Michael Manhart
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA 02138, USA
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  • ORCID record for Michael Manhart
Sanchari Bhattacharyya
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA 02138, USA
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Jian Tian
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA 02138, USA
2Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
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Michael Musharbash
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA 02138, USA
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Eugene I. Shakhnovich
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford St., Cambridge, MA 02138, USA
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  • For correspondence: shakhnovich@chemistry.harvard.edu
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Abstract

Mutations provide the variation that drives evolution, yet their effects on fitness remain poorly understood. Here we explore how mutations in the essential enzyme Adenylate Kinase (Adk) of E. coli affect multiple phases of population growth. We introduce a biophysical fitness landscape for these phases, showing how they depend on molecular and cellular properties of Adk. We find that Adk catalytic capacity in the cell (product of activity and abundance) is the major determinant of mutational fitness effects. We show that bacterial lag times are at a well-defined optimum with respect to Adk’s catalytic capacity, while exponential growth rates are only weakly affected by variation in Adk. Direct pairwise competitions between strains show how environmental conditions modulate the outcome of a competition where growth rates and lag times have a tradeoff, altogether shedding light on the multidimensional nature of fitness and its importance in the evolutionary optimization of enzymes.

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Posted February 05, 2017.
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Optimization of lag phase shapes the evolution of a bacterial enzyme
Bharat V. Adkar, Michael Manhart, Sanchari Bhattacharyya, Jian Tian, Michael Musharbash, Eugene I. Shakhnovich
bioRxiv 088013; doi: https://doi.org/10.1101/088013
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Optimization of lag phase shapes the evolution of a bacterial enzyme
Bharat V. Adkar, Michael Manhart, Sanchari Bhattacharyya, Jian Tian, Michael Musharbash, Eugene I. Shakhnovich
bioRxiv 088013; doi: https://doi.org/10.1101/088013

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