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Hsp90 shapes protein and RNA evolution to balance trade-offs between protein stability and aggregation

Author

Listed:
  • Ron Geller

    (Stanford University
    Universitat de Valencia-CSIC)

  • Sebastian Pechmann

    (Stanford University
    Université de Montréal)

  • Ashley Acevedo

    (Department of Microbiology and Immunology, UCSF
    Rockefeller University)

  • Raul Andino

    (Department of Microbiology and Immunology, UCSF)

  • Judith Frydman

    (Stanford University)

Abstract

Acquisition of mutations is central to evolution; however, the detrimental effects of most mutations on protein folding and stability limit protein evolvability. Molecular chaperones, which suppress aggregation and facilitate polypeptide folding, may alleviate the effects of destabilizing mutations thus promoting sequence diversification. To illuminate how chaperones can influence protein evolution, we examined the effect of reduced activity of the chaperone Hsp90 on poliovirus evolution. We find that Hsp90 offsets evolutionary trade-offs between protein stability and aggregation. Lower chaperone levels favor variants of reduced hydrophobicity and protein aggregation propensity but at a cost to protein stability. Notably, reducing Hsp90 activity also promotes clusters of codon-deoptimized synonymous mutations at inter-domain boundaries, likely to facilitate cotranslational domain folding. Our results reveal how a chaperone can shape the sequence landscape at both the protein and RNA levels to harmonize competing constraints posed by protein stability, aggregation propensity, and translation rate on successful protein biogenesis.

Suggested Citation

  • Ron Geller & Sebastian Pechmann & Ashley Acevedo & Raul Andino & Judith Frydman, 2018. "Hsp90 shapes protein and RNA evolution to balance trade-offs between protein stability and aggregation," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04203-x
    DOI: 10.1038/s41467-018-04203-x
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    Cited by:

    1. Pei Zhao & Chao Wang & Shuhong Sun & Xi Wang & William E. Balch, 2024. "Tracing genetic diversity captures the molecular basis of misfolding disease," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
    2. Adam Catching & Ming Yeh & Simone Bianco & Sara Capponi & Raul Andino, 2023. "A tradeoff between enterovirus A71 particle stability and cell entry," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Amir Bitran & William M Jacobs & Eugene Shakhnovich, 2020. "Validation of DBFOLD: An efficient algorithm for computing folding pathways of complex proteins," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-32, November.

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