Abstract

To follow the dynamics of meiosis in the model plant Arabidopsis, we have established a live cell imaging setup to observe male meiocytes. Our method is based on the concomitant visualization of microtubules (MTs) and a meiotic cohesin subunit that allows following five cellular parameters: cell shape, MT array, nucleus position, nucleolus position, and chromatin condensation. We find that the states of these parameters are not randomly associated and identify 11 cellular states, referred to as landmarks, which occur much more frequently than closely related ones, indicating that they are convergence points during meiotic progression. As a first application of our system, we revisited a previously identified mutant in the meiotic A-type cyclin TARDY ASYNCHRONOUS MEIOSIS (TAM). Our imaging system enabled us to reveal both qualitatively and quantitatively altered landmarks in tam, foremost the formation of previously not recognized ectopic spindle- or phragmoplast-like structures that arise without attachment to chromosomes.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

Article and author information

Author details

  1. Maria A Prusicki

    Department of Developmental Biology, University of Hamburg, Hamburg, Germany
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3755-3402
  2. Emma M Keizer

    Department of Agrotechnology and Food Sciences, Wageningen University, Wageningen, Netherlands
    Competing interests
    No competing interests declared.
  3. Rik Peter van Rosmalen

    Department of Agrotechnology and Food Sciences; Laboratory of Systems and Synthetic Biology, Wageningen University, Wageningen, Netherlands
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6911-3298
  4. Shinichiro Komaki

    Department of Developmental Biology, University of Hamburg, Hamburg, Germany
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1189-288X
  5. Felix Seifert

    Department of Developmental Biology, University of Hamburg, Hamburg, Germany
    Competing interests
    Felix Seifert, is affiliated with CropSeq bioinformatics. The author has no other competing interests to declare.
  6. Katja Müller

    Department of Developmental Biology, University of Hamburg, Hamburg, Germany
    Competing interests
    No competing interests declared.
  7. Erik Wijnker

    Department of Plant Science, Wageningen University, Wageningen, Netherlands
    Competing interests
    No competing interests declared.
  8. Christian Fleck

    Department of Agrotechnology and Food Sciences, Wageningen University, Wageningen, Netherlands
    Competing interests
    No competing interests declared.
  9. Arp Schnittger

    Department of Developmental Biology, University of Hamburg, Hamburg, Germany
    For correspondence
    arp.schnittger@uni-hamburg.de
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7067-0091

Funding

European Union (ITN-606956)

  • Maria A Prusicki
  • Erik Wijnker
  • Arp Schnittger

University of Hamburg (Core funding)

  • Maria A Prusicki
  • Shinichiro Komaki
  • Felix Seifert
  • Katja Müller
  • Erik Wijnker
  • Arp Schnittger

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

Copyright

© 2019, Prusicki 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

  • 8,446
    views
  • 1,114
    downloads
  • 64
    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. Maria A Prusicki
  2. Emma M Keizer
  3. Rik Peter van Rosmalen
  4. Shinichiro Komaki
  5. Felix Seifert
  6. Katja Müller
  7. Erik Wijnker
  8. Christian Fleck
  9. Arp Schnittger
(2019)
Live cell imaging of meiosis in Arabidopsis thaliana
eLife 8:e42834.
https://doi.org/10.7554/eLife.42834

Share this article

https://doi.org/10.7554/eLife.42834

Further reading

    1. Cell Biology
    Zewei Zhao, Longyun Hu ... Zhonghan Yang
    Research Article

    The induction of adipose thermogenesis plays a critical role in maintaining body temperature and improving metabolic homeostasis to combat obesity. β3-adrenoceptor (β3-AR) is widely recognized as a canonical β-adrenergic G-protein-coupled receptor (GPCR) that plays a crucial role in mediating adipose thermogenesis in mice. Nonetheless, the limited expression of β3-AR in human adipocytes restricts its clinical application. The objective of this study was to identify a GPCR that is highly expressed in human adipocytes and to explore its potential involvement in adipose thermogenesis. Our research findings have demonstrated that the adhesion G-protein-coupled receptor A3 (ADGRA3), an orphan GPCR, plays a significant role in adipose thermogenesis through its constitutively active effects. ADGRA3 exhibited high expression levels in human adipocytes and mouse brown fat. Furthermore, the knockdown of Adgra3 resulted in an exacerbated obese phenotype and a reduction in the expression of thermogenic markers in mice. Conversely, Adgra3 overexpression activated the adipose thermogenic program and improved metabolic homeostasis in mice without exogenous ligand. We found that ADGRA3 facilitates the biogenesis of beige human or mouse adipocytes in vitro. Moreover, hesperetin was identified as a potential agonist of ADGRA3, capable of inducing adipocyte browning and ameliorating insulin resistance in mice. In conclusion, our study demonstrated that the overexpression of constitutively active ADGRA3 or the activation of ADGRA3 by hesperetin can induce adipocyte browning by Gs-PKA-CREB axis. These findings indicate that the utilization of hesperetin and the selective overexpression of ADGRA3 in adipose tissue could serve as promising therapeutic strategies in the fight against obesity.

    1. Cell Biology
    2. Chromosomes and Gene Expression
    Bethany M Bartlett, Yatendra Kumar ... Wendy A Bickmore
    Research Article Updated

    During oncogene-induced senescence there are striking changes in the organisation of heterochromatin in the nucleus. This is accompanied by activation of a pro-inflammatory gene expression programme – the senescence-associated secretory phenotype (SASP) – driven by transcription factors such as NF-κB. The relationship between heterochromatin re-organisation and the SASP has been unclear. Here, we show that TPR, a protein of the nuclear pore complex basket required for heterochromatin re-organisation during senescence, is also required for the very early activation of NF-κB signalling during the stress-response phase of oncogene-induced senescence. This is prior to activation of the SASP and occurs without affecting NF-κB nuclear import. We show that TPR is required for the activation of innate immune signalling at these early stages of senescence and we link this to the formation of heterochromatin-enriched cytoplasmic chromatin fragments thought to bleb off from the nuclear periphery. We show that HMGA1 is also required for cytoplasmic chromatin fragment formation. Together these data suggest that re-organisation of heterochromatin is involved in altered structural integrity of the nuclear periphery during senescence, and that this can lead to activation of cytoplasmic nucleic acid sensing, NF-κB signalling, and activation of the SASP.