Gene age shapes the transcriptional landscape of sexual morphogenesis in mushroom forming fungi (Agaricomycetes)

  1. Zsolt Merényi
  2. Máté Virágh
  3. Emile Gluck-Thaler
  4. Jason C Slot
  5. Brigitta Kiss
  6. Torda Varga
  7. András Geösel
  8. Botond Hegedüs
  9. Balázs Bálint
  10. László G Nagy  Is a corresponding author
  1. Biological Research Center, Hungary
  2. University of Pennsylvania, United States
  3. Ohio State University, United States
  4. Hungarian University of Agriculture and Life Sciences, Hungary

Abstract

Multicellularity has been one of the most important innovations in the history of life. The role of gene regulatory changes in driving transitions to multicellularity is being increasingly recognized; however, factors influencing gene expression patterns are poorly known in many clades. Here we compared the developmental transcriptomes of complex multicellular fruiting bodies of eight Agaricomycetes and Cryptococcus neoformans, a closely related human pathogen with a simple morphology. In-depth analysis in Pleurotus ostreatus revealed that allele-specific expression, natural antisense transcripts and developmental gene expression, but not RNA editing or a 'developmental hourglass' act in concert to shape its transcriptome during fruiting body development. We found that transcriptional patterns of genes strongly depend on their evolutionary ages. Young genes showed more developmental and allele-specific expression variation, possibly because of weaker evolutionary constraint, suggestive of non-adaptive expression variance in fruiting bodies. These results prompted us to define a set of conserved genes specifically regulated only during complex morphogenesis by excluding young genes and accounting for deeply conserved ones shared with species showing simple sexual development. Analysis of the resulting gene set revealed evolutionary and functional associations with complex multicellularity, which allowed us to speculate they are involved in complex multicellular morphogenesis of mushroom fruiting bodies.

Data availability

Raw RNA-Seq reads have been deposited to NCBI's GEO archive (GSE176181).

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

Article and author information

Author details

  1. Zsolt Merényi

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  2. Máté Virágh

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  3. Emile Gluck-Thaler

    Department of Biology, University of Pennsylvania, Philadelphia, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Jason C Slot

    Department of Plant Pathology, Ohio State University, Columbus, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6731-3405
  5. Brigitta Kiss

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  6. Torda Varga

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  7. András Geösel

    Department of Vegetable and Mushroom Growing, Hungarian University of Agriculture and Life Sciences, Budapest, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  8. Botond Hegedüs

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  9. Balázs Bálint

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    Competing interests
    The authors declare that no competing interests exist.
  10. László G Nagy

    Synthetic and Systems Biology Unit, Biological Research Center, Szeged, Hungary
    For correspondence
    lnagy@fungenomelab.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4102-8566

Funding

Hungarian National Research, Development, and Innovation Office (GINOP-2.3.2-15-2016-00052)

  • László G Nagy

Momentum program of the Hungarian Academy of Science (LP2019-13/2019)

  • László G Nagy

European Research Council (758161)

  • László G Nagy

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

Reviewing Editor

  1. Luis F Larrondo, Pontificia Universidad Católica de Chile, Chile

Version history

  1. Preprint posted: June 6, 2021 (view preprint)
  2. Received: June 17, 2021
  3. Accepted: February 11, 2022
  4. Accepted Manuscript published: February 14, 2022 (version 1)
  5. Version of Record published: March 3, 2022 (version 2)

Copyright

© 2022, Merényi 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

  • 1,660
    Page views
  • 294
    Downloads
  • 13
    Citations

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

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. Zsolt Merényi
  2. Máté Virágh
  3. Emile Gluck-Thaler
  4. Jason C Slot
  5. Brigitta Kiss
  6. Torda Varga
  7. András Geösel
  8. Botond Hegedüs
  9. Balázs Bálint
  10. László G Nagy
(2022)
Gene age shapes the transcriptional landscape of sexual morphogenesis in mushroom forming fungi (Agaricomycetes)
eLife 11:e71348.
https://doi.org/10.7554/eLife.71348

Share this article

https://doi.org/10.7554/eLife.71348

Further reading

    1. Developmental Biology
    2. Neuroscience
    Kristine B Walhovd, Stine K Krogsrud ... Didac Vidal-Pineiro
    Research Article

    Human fetal development has been associated with brain health at later stages. It is unknown whether growth in utero, as indexed by birth weight (BW), relates consistently to lifespan brain characteristics and changes, and to what extent these influences are of a genetic or environmental nature. Here we show remarkably stable and lifelong positive associations between BW and cortical surface area and volume across and within developmental, aging and lifespan longitudinal samples (N = 5794, 4–82 y of age, w/386 monozygotic twins, followed for up to 8.3 y w/12,088 brain MRIs). In contrast, no consistent effect of BW on brain changes was observed. Partly environmental effects were indicated by analysis of twin BW discordance. In conclusion, the influence of prenatal growth on cortical topography is stable and reliable through the lifespan. This early-life factor appears to influence the brain by association of brain reserve, rather than brain maintenance. Thus, fetal influences appear omnipresent in the spacetime of the human brain throughout the human lifespan. Optimizing fetal growth may increase brain reserve for life, also in aging.

    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.