Dynamics of the IFT machinery at the ciliary tip

  1. Alexander Chien
  2. Sheng Min Shih
  3. Raqual Bower
  4. Douglass Tritschler
  5. Mary E Porter
  6. Ahmet Yildiz  Is a corresponding author
  1. University of California, Berkeley, United States
  2. University of Minnesota, United States

Abstract

Intraflagellar transport (IFT) is essential for the elongation and maintenance of eukaryotic cilia and flagella. Due to the traffic jam of multiple trains at the ciliary tip, how IFT trains are remodeled in these turnaround zones cannot be determined by conventional imaging. Using Photogate, we visualized the full range of movement of single IFT trains and motors in Chlamydomonas flagella. Anterograde trains split apart and IFT complexes mix with each other at the tip to assemble retrograde trains. Dynein-1b is carried to the tip by kinesin-II as inactive cargo on anterograde trains. Unlike dynein-1b, kinesin-II detaches from IFT trains at the tip and diffuses in flagella. As the flagellum grows longer, diffusion delays return of kinesin-II to the basal body, depleting kinesin-II available for anterograde transport. Our results suggest that dissociation of kinesin-II from IFT trains serves as a negative feedback mechanism that facilitates flagellar length control in Chlamydomonas.

Article and author information

Author details

  1. Alexander Chien

    Biophysics Graduate Group, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Sheng Min Shih

    Physics Department, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Raqual Bower

    Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Douglass Tritschler

    Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Mary E Porter

    Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Ahmet Yildiz

    Biophysics Graduate Group, University of California, Berkeley, Berkeley, United States
    For correspondence
    yildiz@berkeley.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4792-174X

Funding

National Institute of General Medical Sciences (GM094522)

  • Ahmet Yildiz

National Science Foundation (MCB-1055017)

  • Ahmet Yildiz

National Institute of General Medical Sciences (GM055667)

  • Mary E Porter

National Science Foundation (MCB-1617028)

  • Ahmet Yildiz

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2017, Chien 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

  • 4,141
    views
  • 821
    downloads
  • 124
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

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. Alexander Chien
  2. Sheng Min Shih
  3. Raqual Bower
  4. Douglass Tritschler
  5. Mary E Porter
  6. Ahmet Yildiz
(2017)
Dynamics of the IFT machinery at the ciliary tip
eLife 6:e28606.
https://doi.org/10.7554/eLife.28606

Share this article

https://doi.org/10.7554/eLife.28606

Further reading

    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics
    Johanna KS Tiemann, Magdalena Szczuka ... Pierre Poulain
    Research Article

    The rise of open science and the absence of a global dedicated data repository for molecular dynamics (MD) simulations has led to the accumulation of MD files in generalist data repositories, constituting the dark matter of MD — data that is technically accessible, but neither indexed, curated, or easily searchable. Leveraging an original search strategy, we found and indexed about 250,000 files and 2000 datasets from Zenodo, Figshare and Open Science Framework. With a focus on files produced by the Gromacs MD software, we illustrate the potential offered by the mining of publicly available MD data. We identified systems with specific molecular composition and were able to characterize essential parameters of MD simulation such as temperature and simulation length, and could identify model resolution, such as all-atom and coarse-grain. Based on this analysis, we inferred metadata to propose a search engine prototype to explore the MD data. To continue in this direction, we call on the community to pursue the effort of sharing MD data, and to report and standardize metadata to reuse this valuable matter.

    1. Structural Biology and Molecular Biophysics
    Lukas Frey, Dhiman Ghosh ... Jason Greenwald
    Research Article

    The aggregation of the protein α-synuclein is closely associated with several neurodegenerative disorders and as such the structures of the amyloid fibril aggregates have high scientific and medical significance. However, there are dozens of unique atomic-resolution structures of these aggregates, and such a highly polymorphic nature of the α-synuclein fibrils hampers efforts in disease-relevant in vitro studies on α-synuclein amyloid aggregation. In order to better understand the factors that affect polymorph selection, we studied the structures of α-synuclein fibrils in vitro as a function of pH and buffer using cryo-EM helical reconstruction. We find that in the physiological range of pH 5.8–7.4, a pH-dependent selection between Type 1, 2, and 3 polymorphs occurs. Our results indicate that even in the presence of seeds, the polymorph selection during aggregation is highly dependent on the buffer conditions, attributed to the non-polymorph-specific nature of secondary nucleation. We also uncovered two new polymorphs that occur at pH 7.0 in phosphate-buffered saline. The first is a monofilament Type 1 fibril that highly resembles the structure of the juvenile-onset synucleinopathy polymorph found in patient-derived material. The second is a new Type 5 polymorph that resembles a polymorph that has been recently reported in a study that used diseased tissues to seed aggregation. Taken together, our results highlight the shallow amyloid energy hypersurface that can be altered by subtle changes in the environment, including the pH which is shown to play a major role in polymorph selection and in many cases appears to be the determining factor in seeded aggregation. The results also suggest the possibility of producing disease-relevant structure in vitro.