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Deep mutational scanning reveals the molecular determinants of RNA polymerase-mediated adaptation and tradeoffs

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  • Alaksh Choudhury

    (Université de Paris Cité, INSERM, IAME, UMR 1137
    Laboratoire Biophysique et Évolution (LBE), UMR Chimie Biologie Innovation 8231, ESPCI Paris, Université PSL, CNRS)

  • Benoit Gachet

    (Université de Paris Cité, INSERM, IAME, UMR 1137)

  • Zoya Dixit

    (Université de Paris Cité, INSERM, IAME, UMR 1137
    Université de Paris Cité, INSERM, CNRS, Institut Cochin, UMR 1016)

  • Roland Faure

    (Université de Paris Cité, INSERM, IAME, UMR 1137
    Université de Rennes, INRIA RBA, CNRS UMR 6074
    Service Evolution Biologique et Ecologie, Université libre de Bruxelles (ULB))

  • Ryan T. Gill

    (University of Colorado-Boulder
    Denmark Technical University)

  • Olivier Tenaillon

    (Université de Paris Cité, INSERM, IAME, UMR 1137
    Université de Paris Cité, INSERM, CNRS, Institut Cochin, UMR 1016)

Abstract

RNA polymerase (RNAP) is emblematic of complex biological systems that control multiple traits involving trade-offs such as growth versus maintenance. Laboratory evolution has revealed that mutations in RNAP subunits, including RpoB, are frequently selected. However, we lack a systems view of how mutations alter the RNAP molecular functions to promote adaptation. We, therefore, measured the fitness of thousands of mutations within a region of rpoB under multiple conditions and genetic backgrounds, to find that adaptive mutations cluster in two modules. Mutations in one module favor growth over maintenance through a partial loss of an interaction associated with faster elongation. Mutations in the other favor maintenance over growth through a destabilized RNAP-DNA complex. The two molecular handles capture the versatile RNAP-mediated adaptations. Combining both interaction losses simultaneously improved maintenance and growth, challenging the idea that growth-maintenance tradeoff resorts only from limited resources, and revealing how compensatory evolution operates within RNAP.

Suggested Citation

  • Alaksh Choudhury & Benoit Gachet & Zoya Dixit & Roland Faure & Ryan T. Gill & Olivier Tenaillon, 2023. "Deep mutational scanning reveals the molecular determinants of RNA polymerase-mediated adaptation and tradeoffs," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41882-7
    DOI: 10.1038/s41467-023-41882-7
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    References listed on IDEAS

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    1. Xiaokang Wang & Violeta Zorraquino & Minseung Kim & Athanasios Tsoukalas & Ilias Tagkopoulos, 2018. "Predicting the evolution of Escherichia coli by a data-driven approach," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    2. Donghui Choe & Jun Hyoung Lee & Minseob Yoo & Soonkyu Hwang & Bong Hyun Sung & Suhyung Cho & Bernhard Palsson & Sun Chang Kim & Byung-Kwan Cho, 2019. "Adaptive laboratory evolution of a genome-reduced Escherichia coli," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    3. Anssi M. Malinen & Monali NandyMazumdar & Matti Turtola & Henri Malmi & Thadee Grocholski & Irina Artsimovitch & Georgiy A Belogurov, 2014. "CBR antimicrobials alter coupling between the bridge helix and the β subunit in RNA polymerase," Nature Communications, Nature, vol. 5(1), pages 1-9, May.
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