The evolutionary origin of bilaterian smooth and striated myocytes

  1. Thibaut Brunet
  2. Antje HL Fischer
  3. Patrick RH Steinmetz
  4. Antonella Lauri
  5. Paola Bertucci
  6. Detlev Arendt  Is a corresponding author
  1. Howard Hughes Medical Institute, University of California, Berkeley, United States
  2. Ludwig-Maximilians University Munich, Germany
  3. University of Bergen, Norway
  4. Helmholtz Zentrum München, Germany
  5. European Molecular Biology Laboratory, Germany

Abstract

The dichotomy between smooth and striated myocytes is fundamental for bilaterian musculature, but its evolutionary origin is unsolved. In particular, interrelationships of visceral smooth muscles remain unclear. Absent in fly and nematode, they have not yet been characterized molecularly outside vertebrates. Here, we characterize expression profile, ultrastructure, contractility and innervation of the musculature in the marine annelid Platynereis dumerilii and identify smooth muscles around the midgut, hindgut and heart that resemble their vertebrate counterparts in molecular fingerprint, contraction speed, and nervous control. Our data suggest that both visceral smooth and somatic striated myocytes were present in the protostome-deuterostome ancestor, and that smooth myocytes later co-opted the striated contractile module repeatedly - for example in vertebrate heart evolution. During these smooth-to-striated myocyte conversions the core regulatory complex of transcription factors conveying myocyte identity remained unchanged, reflecting a general principle in cell type evolution.

Article and author information

Author details

  1. Thibaut Brunet

    Department of Molecular and Cell Biology, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1843-1613
  2. Antje HL Fischer

    Biochemistry, Ludwig-Maximilians University Munich, Munich, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. Patrick RH Steinmetz

    Sars International Centre for Marine Molecular Biology, University of Bergen, Bergen, Norway
    Competing interests
    The authors declare that no competing interests exist.
  4. Antonella Lauri

    Institute for Biological and Medical Imaging, Helmholtz Zentrum München, München, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Paola Bertucci

    Developmental Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Detlev Arendt

    Developmental Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
    For correspondence
    arendt@embl.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7833-050X

Funding

European Research Council (Brain Evo-Devo)

  • Thibaut Brunet
  • Paola Bertucci
  • Detlev Arendt

European Union's Seventh Framework Program (EVONET)

  • Antonella Lauri

European Union-Marie Curie Early Training Network (ZOONET)

  • Antje HL Fischer

European Molecular Biology Laboratory (International PhD Program)

  • Thibaut Brunet
  • Antje HL Fischer
  • Patrick RH Steinmetz
  • Antonella Lauri

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

Reviewing Editor

  1. Alejandro Sánchez Alvarado, Stowers Institute for Medical Research, United States

Version history

  1. Received: August 24, 2016
  2. Accepted: December 1, 2016
  3. Accepted Manuscript published: December 1, 2016 (version 1)
  4. Accepted Manuscript updated: December 2, 2016 (version 2)
  5. Version of Record published: December 19, 2016 (version 3)

Copyright

© 2016, Brunet 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

  • 5,806
    Page views
  • 957
    Downloads
  • 62
    Citations

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

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. Thibaut Brunet
  2. Antje HL Fischer
  3. Patrick RH Steinmetz
  4. Antonella Lauri
  5. Paola Bertucci
  6. Detlev Arendt
(2016)
The evolutionary origin of bilaterian smooth and striated myocytes
eLife 5:e19607.
https://doi.org/10.7554/eLife.19607

Share this article

https://doi.org/10.7554/eLife.19607

Further reading

    1. Developmental Biology
    2. Immunology and Inflammation
    Amir Hossein Kayvanjoo, Iva Splichalova ... Elvira Mass
    Research Article Updated

    During embryogenesis, the fetal liver becomes the main hematopoietic organ, where stem and progenitor cells as well as immature and mature immune cells form an intricate cellular network. Hematopoietic stem cells (HSCs) reside in a specialized niche, which is essential for their proliferation and differentiation. However, the cellular and molecular determinants contributing to this fetal HSC niche remain largely unknown. Macrophages are the first differentiated hematopoietic cells found in the developing liver, where they are important for fetal erythropoiesis by promoting erythrocyte maturation and phagocytosing expelled nuclei. Yet, whether macrophages play a role in fetal hematopoiesis beyond serving as a niche for maturing erythroblasts remains elusive. Here, we investigate the heterogeneity of macrophage populations in the murine fetal liver to define their specific roles during hematopoiesis. Using a single-cell omics approach combined with spatial proteomics and genetic fate-mapping models, we found that fetal liver macrophages cluster into distinct yolk sac-derived subpopulations and that long-term HSCs are interacting preferentially with one of the macrophage subpopulations. Fetal livers lacking macrophages show a delay in erythropoiesis and have an increased number of granulocytes, which can be attributed to transcriptional reprogramming and altered differentiation potential of long-term HSCs. Together, our data provide a detailed map of fetal liver macrophage subpopulations and implicate macrophages as part of the fetal HSC niche.

    1. Developmental Biology
    2. Neuroscience
    Smrithi Prem, Bharati Dev ... Emanuel DiCicco-Bloom
    Research Article Updated

    Autism spectrum disorder (ASD) is defined by common behavioral characteristics, raising the possibility of shared pathogenic mechanisms. Yet, vast clinical and etiological heterogeneity suggests personalized phenotypes. Surprisingly, our iPSC studies find that six individuals from two distinct ASD subtypes, idiopathic and 16p11.2 deletion, have common reductions in neural precursor cell (NPC) neurite outgrowth and migration even though whole genome sequencing demonstrates no genetic overlap between the datasets. To identify signaling differences that may contribute to these developmental defects, an unbiased phospho-(p)-proteome screen was performed. Surprisingly despite the genetic heterogeneity, hundreds of shared p-peptides were identified between autism subtypes including the mTOR pathway. mTOR signaling alterations were confirmed in all NPCs across both ASD subtypes, and mTOR modulation rescued ASD phenotypes and reproduced autism NPC-associated phenotypes in control NPCs. Thus, our studies demonstrate that genetically distinct ASD subtypes have common defects in neurite outgrowth and migration which are driven by the shared pathogenic mechanism of mTOR signaling dysregulation.