Lys63-linked ubiquitin chain adopts multiple conformational states for specific target recognition

  1. Zhu Liu
  2. Zhou Gong
  3. Wen-Xue Jiang
  4. Ju Yang
  5. Wen-Kai Zhu
  6. Da-Chuan Guo
  7. Wei-Ping Zhang
  8. Mai-Li Liu
  9. Chun Tang  Is a corresponding author
  1. Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, China
  2. Zhejiang University School of Medicine, China

Abstract

A polyubiquitin comprises multiple covalently linked ubiquitins and recognizes myriad targets. Free or bound to ligands, a polyubiquitin is found in different arrangements of ubiquitin subunits. To understand the structural basis for polyubiquitin quaternary plasticity and to explore the target recognition mechanism, we characterize the conformational space of Lys63-linked diubiquitin (K63-Ub2). Refining against inter-subunit paramagnetic NMR data, we show that free K63-Ub2 exists as a dynamic ensemble comprising multiple closed and open quaternary states. The quaternary dynamics enables K63-Ub2 to be specifically recognized in a variety of signaling pathways. When binding to a target protein, one of the preexisting quaternary states is selected and stabilized. A point mutation that shifts the equilibrium between the different states modulates the binding affinities towards K63-Ub2 ligands. This conformational selection mechanism at quaternary level may be used by polyubiquitins of different lengths and linkages for target recognition.

Article and author information

Author details

  1. Zhu Liu

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  2. Zhou Gong

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Wen-Xue Jiang

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  4. Ju Yang

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Wen-Kai Zhu

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  6. Da-Chuan Guo

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  7. Wei-Ping Zhang

    Department of Pharmacology and Institute of Neuroscience, Zhejiang University School of Medicine, Hangzhou, China
    Competing interests
    The authors declare that no competing interests exist.
  8. Mai-Li Liu

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  9. Chun Tang

    CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, Wuhan, China
    For correspondence
    tanglab@wipm.ac.cn
    Competing interests
    The authors declare that no competing interests exist.

Reviewing Editor

  1. Volker Dötsch, Goethe University, Germany

Publication history

  1. Received: November 25, 2014
  2. Accepted: June 18, 2015
  3. Accepted Manuscript published: June 19, 2015 (version 1)
  4. Version of Record published: July 20, 2015 (version 2)

Copyright

© 2015, Liu et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,838
    Page views
  • 654
    Downloads
  • 38
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Zhu Liu
  2. Zhou Gong
  3. Wen-Xue Jiang
  4. Ju Yang
  5. Wen-Kai Zhu
  6. Da-Chuan Guo
  7. Wei-Ping Zhang
  8. Mai-Li Liu
  9. Chun Tang
(2015)
Lys63-linked ubiquitin chain adopts multiple conformational states for specific target recognition
eLife 4:e05767.
https://doi.org/10.7554/eLife.05767

Further reading

    1. Structural Biology and Molecular Biophysics
    Zeyu Shen, Bowen Jia ... Mingjie Zhang
    Research Article

    Formation of membraneless organelles or biological condensates via phase separation and related processes hugely expands the cellular organelle repertoire. Biological condensates are dense and viscoelastic soft matters instead of canonical dilute solutions. To date, numerous different biological condensates have been discovered; but mechanistic understanding of biological condensates remains scarce. In this study, we developed an adaptive single molecule imaging method that allows simultaneous tracking of individual molecules and their motion trajectories in both condensed and dilute phases of various biological condensates. The method enables quantitative measurements of concentrations, phase boundary, motion behavior and speed of molecules in both condensed and dilute phases as well as the scale and speed of molecular exchanges between the two phases. Notably, molecules in the condensed phase do not undergo uniform Brownian motion, but instead constantly switch between a (class of) confined state(s) and a random diffusion-like motion state. Transient confinement is consistent with strong interactions associated with large molecular networks (i.e., percolation) in the condensed phase. In this way, molecules in biological condensates behave distinctly different from those in dilute solutions. The methods and findings described herein should be generally applicable for deciphering the molecular mechanisms underlying the assembly, dynamics and consequently functional implications of biological condensates.

    1. Structural Biology and Molecular Biophysics
    Seoyoon Kim, Daehyo Lee ... Duyoung Min
    Tools and Resources

    Single-molecule tweezers, such as magnetic tweezers, are powerful tools for probing nm-scale structural changes in single membrane proteins under force. However, the weak molecular tethers used for the membrane protein studies have limited the observation of long-time, repetitive molecular transitions due to force-induced bond breakage. The prolonged observation of numerous transitions is critical in reliable characterizations of structural states, kinetics, and energy barrier properties. Here, we present a robust single-molecule tweezer method that uses dibenzocyclooctyne (DBCO) cycloaddition and traptavidin binding, enabling the estimation of the folding 'speed limit' of helical membrane proteins. This method is >100 times more stable than a conventional linkage system regarding the lifetime, allowing for the survival for ~12 h at 50 pN and ~1000 pulling cycle experiments. By using this method, we were able to observe numerous structural transitions of a designer single-chained transmembrane (TM) homodimer for 9 h at 12 pN, and reveal its folding pathway including the hidden dynamics of helix-coil transitions. We characterized the energy barrier heights and folding times for the transitions using a model-independent deconvolution method and the hidden Markov modeling (HMM) analysis, respectively. The Kramers rate framework yields a considerably low speed limit of 21 ms for a helical hairpin formation in lipid bilayers, compared to μs scale for soluble protein folding. This large discrepancy is likely due to the highly viscous nature of lipid membranes, retarding the helix-helix interactions. Our results offer a more valid guideline for relating the kinetics and free energies of membrane protein folding.