A transcriptomics resource reveals a transcriptional transition during ordered sarcomere morphogenesis in flight muscle

  1. Maria L Spletter  Is a corresponding author
  2. Christiane Barz
  3. Assa Yeroslaviz
  4. Xu Zhang
  5. Sandra B Lemke
  6. Adrien Bonnard
  7. Erich Brunner
  8. Giovanni Cardone
  9. Konrad Basler
  10. Bianca H Habermann
  11. Frank Schnorrer  Is a corresponding author
  1. Max Planck Institute of Biochemistry, Germany
  2. Aix Marseille University, France
  3. University of Zurich, Switzerland

Abstract

Muscles organise pseudo-crystalline arrays of actin, myosin and titin filaments to build force-producing sarcomeres. To study sarcomerogenesis, we have generated a transcriptomics resource of developing Drosophila flight muscles and identified 40 distinct expression profile clusters. Strikingly, most sarcomeric components group in two clusters, which are strongly induced after all myofibrils have been assembled, indicating a transcriptional transition during myofibrillogenesis. Following myofibril assembly, many short sarcomeres are added to each myofibril. Subsequently, all sarcomeres mature, reaching 1.5 µm diameter and 3.2 µm length and acquiring stretch-sensitivity. The efficient induction of the transcriptional transition during myofibrillogenesis, including the transcriptional boost of sarcomeric components, requires in part the transcriptional regulator Spalt major. As a consequence of Spalt knock-down, sarcomere maturation is defective and fibers fail to gain stretch-sensitivity. Together, this defines an ordered sarcomere morphogenesis process under precise transcriptional control - a concept that may also apply to vertebrate muscle or heart development.

Data availability

Processed data from DESeq2, Mfuzz and GO-Elite are available in Supplementary Files 1, 2, 4. mRNA-Seq data are publicly available from NCBI's Gene Expression Omnibus (GEO) under accession number GSE107247. Fiji scripts for analysis of sarcomere length, myofibril width and myofibril diameter are available from https://imagej.net/MyofibrilJ. Raw data used to generate all plots presented in figure panels are available in the source data files for Figures 1, 5, 6, 7 and 8. Data on statistical test results are presented in Supplementary File 5.

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Maria L Spletter

    Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    For correspondence
    maria.spletter@bmc.med.lmu.de
    Competing interests
    The authors declare that no competing interests exist.
  2. Christiane Barz

    Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. Assa Yeroslaviz

    Computational Biology Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Xu Zhang

    Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1628-9895
  5. Sandra B Lemke

    Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Adrien Bonnard

    IBDM, Aix Marseille University, Marseille, France
    Competing interests
    The authors declare that no competing interests exist.
  7. Erich Brunner

    Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  8. Giovanni Cardone

    Imaging Facility, Max Planck Institute of Biochemistry, Martinsried, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4712-1451
  9. Konrad Basler

    Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  10. Bianca H Habermann

    Computational Biology Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    Competing interests
    The authors declare that no competing interests exist.
  11. Frank Schnorrer

    Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
    For correspondence
    frank.schnorrer@univ-amu.fr
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9518-7263

Funding

Max-Planck-Gesellschaft

  • Maria L Spletter
  • Christiane Barz
  • Assa Yeroslaviz
  • Xu Zhang
  • Sandra B Lemke
  • Bianca H Habermann
  • Frank Schnorrer

Agence Nationale de la Recherche (ANR-10-INBS-04- 01)

  • Frank Schnorrer

Agence Nationale de la Recherche (ANR ACHN)

  • Frank Schnorrer

Centre National de la Recherche Scientifique

  • Xu Zhang
  • Adrien Bonnard
  • Bianca H Habermann
  • Frank Schnorrer

European Molecular Biology Organization (EMBO-LTR 688-2011)

  • Maria L Spletter

Alexander von Humboldt-Stiftung

  • Maria L Spletter

National Institute for Health Research (5F32AR062477)

  • Maria L Spletter

H2020 European Research Council (ERC Grant 310939)

  • Frank Schnorrer

Aix-Marseille Université (ANR-11-IDEX-0001-02)

  • Bianca H Habermann
  • Frank Schnorrer

Agence Nationale de la Recherche (ANR-11- LABX-0054)

  • Frank Schnorrer

European Molecular Biology Organization (EMBO-YIP)

  • Frank Schnorrer

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

Copyright

© 2018, Spletter 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

  • 4,421
    views
  • 536
    downloads
  • 78
    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 L Spletter
  2. Christiane Barz
  3. Assa Yeroslaviz
  4. Xu Zhang
  5. Sandra B Lemke
  6. Adrien Bonnard
  7. Erich Brunner
  8. Giovanni Cardone
  9. Konrad Basler
  10. Bianca H Habermann
  11. Frank Schnorrer
(2018)
A transcriptomics resource reveals a transcriptional transition during ordered sarcomere morphogenesis in flight muscle
eLife 7:e34058.
https://doi.org/10.7554/eLife.34058

Share this article

https://doi.org/10.7554/eLife.34058

Further reading

    1. Cell Biology
    2. Developmental Biology
    Yi Sun, Zhe Chen ... Chengtian Zhao
    Short Report

    How cells regulate the size of their organelles remains a fundamental question in cell biology. Cilia, with their simple structure and surface localization, provide an ideal model for investigating organelle size control. However, most studies on cilia length regulation are primarily performed on several single-celled organisms. In contrast, the mechanism of length regulation in cilia across diverse cell types within multicellular organisms remains a mystery. Similar to humans, zebrafish contain diverse types of cilia with variable lengths. Taking advantage of the transparency of zebrafish embryos, we conducted a comprehensive investigation into intraflagellar transport (IFT), an essential process for ciliogenesis. By generating a transgenic line carrying Ift88-GFP transgene, we observed IFT in multiple types of cilia with varying lengths. Remarkably, cilia exhibited variable IFT speeds in different cell types, with longer cilia exhibiting faster IFT speeds. This increased IFT speed in longer cilia is likely not due to changes in common factors that regulate IFT, such as motor selection, BBSome proteins, or tubulin modification. Interestingly, longer cilia in the ear cristae tend to form larger IFT compared to shorter spinal cord cilia. Reducing the size of IFT particles by knocking down Ift88 slowed IFT speed and resulted in the formation of shorter cilia. Our study proposes an intriguing model of cilia length regulation via controlling IFT speed through the modulation of the size of the IFT complex. This discovery may provide further insights into our understanding of how organelle size is regulated in higher vertebrates.

    1. Cell Biology
    2. Neuroscience
    Luis Sánchez-Guardado, Peyman Callejas Razavi ... Carlos Lois
    Research Article

    The assembly and maintenance of neural circuits is crucial for proper brain function. Although the assembly of brain circuits has been extensively studied, much less is understood about the mechanisms controlling their maintenance as animals mature. In the olfactory system, the axons of olfactory sensory neurons (OSNs) expressing the same odor receptor converge into discrete synaptic structures of the olfactory bulb (OB) called glomeruli, forming a stereotypic odor map. The OB projection neurons, called mitral and tufted cells (M/Ts), have a single dendrite that branches into a single glomerulus, where they make synapses with OSNs. We used a genetic method to progressively eliminate the vast majority of M/T cells in early postnatal mice, and observed that the assembly of the OB bulb circuits proceeded normally. However, as the animals became adults the apical dendrite of remaining M/Ts grew multiple branches that innervated several glomeruli, and OSNs expressing single odor receptors projected their axons into multiple glomeruli, disrupting the olfactory sensory map. Moreover, ablating the M/Ts in adult animals also resulted in similar structural changes in the projections of remaining M/Ts and axons from OSNs. Interestingly, the ability of these mice to detect odors was relatively preserved despite only having 1–5% of projection neurons transmitting odorant information to the brain, and having highly disrupted circuits in the OB. These results indicate that a reduced number of projection neurons does not affect the normal assembly of the olfactory circuit, but induces structural instability of the olfactory circuitry of adult animals.