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Heterologous Hsp90 promotes phenotypic diversity through network evolution

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  • Tracy Chih-Ting Koubkova-Yu
  • Jung-Chi Chao
  • Jun-Yi Leu

Abstract

Biological processes in living cells are often carried out by gene networks in which signals and reactions are integrated through network hubs. Despite their functional importance, it remains unclear to what extent network hubs are evolvable and how alterations impact long-term evolution. We investigated these issues using heat shock protein 90 (Hsp90), a central hub of proteostasis networks. When native Hsp90 in Saccharomyces cerevisiae cells was replaced by the ortholog from hypersaline-tolerant Yarrowia lipolytica that diverged from S. cerevisiae about 270 million years ago, the cells exhibited improved growth in hypersaline environments but compromised growth in others, indicating functional divergence in Hsp90 between the two yeasts. Laboratory evolution shows that evolved Y. lipolytica-HSP90–carrying S. cerevisiae cells exhibit a wider range of phenotypic variation than cells carrying native Hsp90. Identified beneficial mutations are involved in multiple pathways and are often pleiotropic. Our results show that cells adapt to a heterologous Hsp90 by modifying different subnetworks, facilitating the evolution of phenotypic diversity inaccessible to wild-type cells.Author summary: Biological processes in living cells are often carried out by gene networks. Hubs are highly connected network components important for integrating signal inputs and generating responsive functional outputs. Heat shock protein 90 (Hsp90), a versatile hub in the protein homeostasis network, is a molecular chaperone essential for cell viability in all tested eukaryotic cells. In yeast, about a quarter of the expressed proteins are profoundly influenced when Hsp90 activity is reduced. Despite its pivotal role, we found that the function of Hsp90 has diverged between two yeast species, Yarrowia lipolytica and Saccharomyces cerevisiae, which split about 270 million years ago. To understand the impacts and adaptive strategies in cells with an altered network hub, we conducted laboratory evolution experiments using a S. cerevisiae strain in which native Hsp90 is replaced by its counterpart in Y. lipolytica. We observed different fitness gain or loss under various stress conditions in individual evolved clones, suggesting that cells adapted via different evolutionary paths. Genome sequencing and mutation reconstitution experiments show that beneficial mutations occurred in multiple Hsp90-related pathways that interact with each other. Our results show that a perturbed network allows cells to evolve a broader range of phenotypic diversity unavailable to wild-type cells.

Suggested Citation

  • Tracy Chih-Ting Koubkova-Yu & Jung-Chi Chao & Jun-Yi Leu, 2018. "Heterologous Hsp90 promotes phenotypic diversity through network evolution," PLOS Biology, Public Library of Science, vol. 16(11), pages 1-29, November.
  • Handle: RePEc:plo:pbio00:2006450
    DOI: 10.1371/journal.pbio.2006450
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    References listed on IDEAS

    as
    1. Matthew Ronshaugen & Nadine McGinnis & William McGinnis, 2002. "Hox protein mutation and macroevolution of the insect body plan," Nature, Nature, vol. 415(6874), pages 914-917, February.
    2. H. Jeong & S. P. Mason & A.-L. Barabási & Z. N. Oltvai, 2001. "Lethality and centrality in protein networks," Nature, Nature, vol. 411(6833), pages 41-42, May.
    3. Leland H. Hartwell & John J. Hopfield & Stanislas Leibler & Andrew W. Murray, 1999. "From molecular to modular cell biology," Nature, Nature, vol. 402(6761), pages 47-52, December.
    4. Suzanne L. Rutherford & Susan Lindquist, 1998. "Hsp90 as a capacitor for morphological evolution," Nature, Nature, vol. 396(6709), pages 336-342, November.
    5. Richard E. Lenski & Charles Ofria & Robert T. Pennock & Christoph Adami, 2003. "The evolutionary origin of complex features," Nature, Nature, vol. 423(6936), pages 139-144, May.
    6. Christine Queitsch & Todd A. Sangster & Susan Lindquist, 2002. "Hsp90 as a capacitor of phenotypic variation," Nature, Nature, vol. 417(6889), pages 618-624, June.
    7. David Eisenberg & Edward M. Marcotte & Ioannis Xenarios & Todd O. Yeates, 2000. "Protein function in the post-genomic era," Nature, Nature, vol. 405(6788), pages 823-826, June.
    8. Aviv Bergman & Mark L. Siegal, 2003. "Evolutionary capacitance as a general feature of complex gene networks," Nature, Nature, vol. 424(6948), pages 549-552, July.
    Full references (including those not matched with items on IDEAS)

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