Male meiotic spindle features that efficiently segregate paired and lagging chromosomes

  1. Gunar Fabig  Is a corresponding author
  2. Robert Kiewisz
  3. Norbert Lindow
  4. James A Powers
  5. Vanessa Cota
  6. Luis J Quintanilla
  7. Jan Brugués
  8. Steffen Prohaska
  9. Diana S Chu
  10. Thomas Müller-Reichert  Is a corresponding author
  1. Technische Universität Dresden, Germany
  2. Zuse Institute Berlin, Germany
  3. Indiana University, United States
  4. San Francisco State University, United States
  5. Max Planck Institute, Germany

Abstract

Chromosome segregation during male meiosis is tailored to rapidly generate multitudes of sperm. Little is known about mechanisms that efficiently partition chromosomes to produce sperm. Using live imaging and tomographic reconstructions of spermatocyte meiotic spindles in Caenorhabditis elegans, we find the lagging X chromosome, a distinctive feature of anaphase I in C. elegans males, is due to lack of chromosome pairing. The unpaired chromosome remains tethered to centrosomes by lengthening kinetochore microtubules, which are under tension, suggesting that a 'tug of war' reliably resolves lagging. We find spermatocytes exhibit simultaneous pole-to-chromosome shortening (anaphase A) and pole-to-pole elongation (anaphase B). Electron tomography unexpectedly revealed spermatocyte anaphase A does not stem solely from kinetochore microtubule shortening. Instead, movement of autosomes is largely driven by distance change between chromosomes, microtubules, and centrosomes upon tension release during anaphase. Overall, we define novel features that segregate both lagging and paired chromosomes for optimal sperm production.

Data availability

Data have been uploaded to the TU Dresden Open Access Repository and Archive system (OpARA) and are available as open access: http://dx.doi.org/10.25532/OPARA-56

The following data sets were generated

Article and author information

Author details

  1. Gunar Fabig

    Experimental Center, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
    For correspondence
    gunar.fabig@tu-dresden.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3017-0978
  2. Robert Kiewisz

    Experimental Center, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2733-4978
  3. Norbert Lindow

    Visualization and Data Analysis, Zuse Institute Berlin, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. James A Powers

    Light Microscopy Imaging Center, Indiana University, Bloomington, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Vanessa Cota

    Department of Biology, San Francisco State University, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Luis J Quintanilla

    Department of Biology, San Francisco State University, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Jan Brugués

    Molecular Cell Biology and Genetics, Max Planck Institute, Dresden, Germany
    Competing interests
    The authors declare that no competing interests exist.
  8. Steffen Prohaska

    Visualization and Data Analysis, Zuse Institute Berlin, Berlin, Germany
    Competing interests
    The authors declare that no competing interests exist.
  9. Diana S Chu

    Department of Biology, San Francisco State University, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Thomas Müller-Reichert

    Experimental Center, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
    For correspondence
    mueller-reichert@tu-dresden.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0203-1436

Funding

Deutsche Forschungsgemeinschaft (MU 1423/10-1)

  • Gunar Fabig
  • Thomas Müller-Reichert

Horizon 2020 Framework Programme (No. 675737)

  • Robert Kiewisz
  • Thomas Müller-Reichert

National Institutes of Health (R03 HD093990-01A1)

  • Vanessa Cota
  • Diana S Chu

National Science Foundation (RUI-1817611,DBI-1548297)

  • Vanessa Cota
  • Diana S Chu

National Institutes of Health (NIH1S10OD024988-01)

  • James A Powers

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

Copyright

© 2020, Fabig 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

  • 2,915
    views
  • 382
    downloads
  • 18
    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. Gunar Fabig
  2. Robert Kiewisz
  3. Norbert Lindow
  4. James A Powers
  5. Vanessa Cota
  6. Luis J Quintanilla
  7. Jan Brugués
  8. Steffen Prohaska
  9. Diana S Chu
  10. Thomas Müller-Reichert
(2020)
Male meiotic spindle features that efficiently segregate paired and lagging chromosomes
eLife 9:e50988.
https://doi.org/10.7554/eLife.50988

Share this article

https://doi.org/10.7554/eLife.50988

Further reading

    1. Cell Biology
    Xue Yang, Chuyi Han ... Fanyuan Yu
    Research Article

    Platelet-derived growth factor receptor alpha (PDGFR-α) activity is crucial in the process of dental and periodontal mesenchyme regeneration facilitated by autologous platelet concentrates (APCs), such as platelet-rich fibrin (PRF), platelet-rich plasma (PRP) and concentrated growth factors (CGF), as well as by recombinant PDGF drugs. However, it is largely unclear about the physiological patterns and cellular fate determinations of PDGFR-α+ cells in the homeostasis maintaining of adult dental and periodontal mesenchyme. We previously identified NFATc1 expressing PDGFR-α+ cells as a subtype of skeletal stem cells (SSCs) in limb bone in mice, but their roles in dental and periodontal remain unexplored. To this end, in the present study we investigated the spatiotemporal atlas of NFATc1+ and PDGFR-α+ cells residing in dental and periodontal mesenchyme in mice, their capacity for progeny cell generation, and their inclusive, exclusive and hierarchical relations in homeostasis. We utilized CRISPR/Cas9-mediated gene editing to generate two dual recombination systems, which were Cre-loxP and Dre-rox combined intersectional and exclusive reporters respectively, to concurrently demonstrate the inclusive, exclusive, and hierarchical distributions of NFATc1+ and PDGFR-α+ cells and their lineage commitment. By employing the state-of-the-art transgenic lineage tracing techniques in cooperating with tissue clearing-based advanced imaging and three-dimensional slices reconstruction, we systematically mapped the distribution atlas of NFATc1+ and PDGFR-α+ cells in dental and periodontal mesenchyme and tracked their in vivo fate trajectories in mice. Our findings extend current understanding of NFATc1+ and PDGFR-α+ cells in dental and periodontal mesenchyme homeostasis, and furthermore enhance our comprehension of their sustained therapeutic impact for future clinical investigations.

    1. Cell Biology
    2. Genetics and Genomics
    Showkat Ahmad Dar, Sulochan Malla ... Manolis Maragkakis
    Research Article

    Cells react to stress by triggering response pathways, leading to extensive alterations in the transcriptome to restore cellular homeostasis. The role of RNA metabolism in shaping the cellular response to stress is vital, yet the global changes in RNA stability under these conditions remain unclear. In this work, we employ direct RNA sequencing with nanopores, enhanced by 5ʹ end adapter ligation, to comprehensively interrogate the human transcriptome at single-molecule and -nucleotide resolution. By developing a statistical framework to identify robust RNA length variations in nanopore data, we find that cellular stress induces prevalent 5ʹ end RNA decay that is coupled to translation and ribosome occupancy. Unlike typical RNA decay models in normal conditions, we show that stress-induced RNA decay is dependent on XRN1 but does not depend on deadenylation or decapping. We observed that RNAs undergoing decay are predominantly enriched in the stress granule transcriptome while inhibition of stress granule formation via genetic ablation of G3BP1 and G3BP2 rescues RNA length. Our findings reveal RNA decay as a key component of RNA metabolism upon cellular stress that is dependent on stress granule formation.