Evolution of gene dosage on the Z-chromosome of schistosome parasites

  1. Marion A L Picard
  2. Celine Cosseau
  3. Sabrina Ferré
  4. Thomas Quack
  5. Christoph Grevelding
  6. Yohann Couté
  7. Beatriz Vicoso  Is a corresponding author
  1. Institute of Science and Technology Austria, Austria
  2. University of Perpignan via Domitia, France
  3. Université Grenoble - Alpes, CEA, France
  4. Justus-Liebig-Universität, Germany

Abstract

XY systems usually show chromosome-wide compensation of X-linked genes, while in many ZW systems, compensation is restricted to a minority of dosage sensitive genes. Why such differences arose is still unclear. Here, we combine comparative genomics, transcriptomics and proteomics to obtain a complete overview of the evolution of gene dosage on the Z-chromosome of Schistosoma parasites. We compare the Z-chromosome gene content of African (Schistosoma mansoni and S. haematobium) and Asian (S. japonicum) schistosomes, and describe lineage-specific evolutionary strata. We use these to assess gene expression evolution following sex-linkage. The resulting patterns suggest a reduction in expression of Z-linked genes in females, combined with up-regulation of the Z in both sexes, in line with the first step of Ohno's classic model of dosage compensation evolution. Quantitative proteomics suggest that post-transcriptional mechanisms do not play a major role in balancing the expression of Z-linked genes.

Data availability

Sequencing data have been deposited to the NCBI short reads archive (PRJNA432803).Proteomic dosage values as well as final versions of the processed datasets (genomic coverage, expression values, chromosomal assignments) have been deposited into the IST Austria Data Repository (http://dx.doi.org/10.15479/AT:ISTA:109).

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

Article and author information

Author details

  1. Marion A L Picard

    Institute of Science and Technology Austria, Klosterneuburg, Austria
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8101-2518
  2. Celine Cosseau

    IHPE UMR 5244, University of Perpignan via Domitia, Perpignan, France
    Competing interests
    The authors declare that no competing interests exist.
  3. Sabrina Ferré

    Laboratoire Biologie à Grande Echelle (BGE), Université Grenoble - Alpes, CEA, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  4. Thomas Quack

    Institute for Parasitology, Justus-Liebig-Universität, Giessen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Christoph Grevelding

    Institute for Parasitology, Justus-Liebig-Universität, Giessen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Yohann Couté

    Laboratoire Biologie à Grande Echelle (BGE), Université Grenoble - Alpes, CEA, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3896-6196
  7. Beatriz Vicoso

    Institute of Science and Technology Austria, Klosterneuburg, Austria
    For correspondence
    beatriz.vicoso@ist.ac.at
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4579-8306

Funding

Austrian Science Fund (P28842)

  • Beatriz Vicoso

Proteomics France Infrastructure (ANR-10-INBS-08-01)

  • Yohann Couté

Labex GRAL (ANR-10-LABX-49-01)

  • Yohann Couté

Wellcome Trust (107475/Z/15/Z)

  • Thomas Quack
  • Christoph Grevelding

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

Copyright

© 2018, Picard 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

  • 2,268
    views
  • 239
    downloads
  • 34
    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. Marion A L Picard
  2. Celine Cosseau
  3. Sabrina Ferré
  4. Thomas Quack
  5. Christoph Grevelding
  6. Yohann Couté
  7. Beatriz Vicoso
(2018)
Evolution of gene dosage on the Z-chromosome of schistosome parasites
eLife 7:e35684.
https://doi.org/10.7554/eLife.35684

Share this article

https://doi.org/10.7554/eLife.35684

Further reading

    1. Evolutionary Biology
    2. Genetics and Genomics
    Michael James Chambers, Sophia B Scobell, Meru J Sadhu
    Research Article

    Evolutionary arms races can arise at the contact surfaces between host and viral proteins, producing dynamic spaces in which genetic variants are continually pursued.  However, the sampling of genetic variation must be balanced with the need to maintain protein function. A striking case is given by protein kinase R (PKR), a member of the mammalian innate immune system. PKR detects viral replication within the host cell and halts protein synthesis to prevent viral replication by phosphorylating eIF2α, a component of the translation initiation machinery. PKR is targeted by many viral antagonists, including poxvirus pseudosubstrate antagonists that mimic the natural substrate, eIF2α, and inhibit PKR activity. Remarkably, PKR has several rapidly evolving residues at this interface, suggesting it is engaging in an evolutionary arms race, despite the surface’s critical role in phosphorylating eIF2α. To systematically explore the evolutionary opportunities available at this dynamic interface, we generated and characterized a library of 426 SNP-accessible nonsynonymous variants of human PKR for their ability to escape inhibition by the model pseudosubstrate inhibitor K3, encoded by the vaccinia virus gene K3L. We identified key sites in the PKR kinase domain that harbor K3-resistant variants, as well as critical sites where variation leads to loss of function. We find K3-resistant variants are readily available throughout the interface and are enriched at sites under positive selection. Moreover, variants beneficial against K3 were also beneficial against an enhanced variant of K3, indicating resilience to viral adaptation. Overall, we find that the eIF2α-binding surface of PKR is highly malleable, potentiating its evolutionary ability to combat viral inhibition.

    1. Evolutionary Biology
    2. Genetics and Genomics
    Giulia Ferraretti, Paolo Abondio ... Marco Sazzini
    Research Article

    It is well established that several Homo sapiens populations experienced admixture with extinct human species during their evolutionary history. Sometimes, such a gene flow could have played a role in modulating their capability to cope with a variety of selective pressures, thus resulting in archaic adaptive introgression events. A paradigmatic example of this evolutionary mechanism is offered by the EPAS1 gene, whose most frequent haplotype in Himalayan highlanders was proved to reduce their susceptibility to chronic mountain sickness and to be introduced in the gene pool of their ancestors by admixture with Denisovans. In this study, we aimed at further expanding the investigation of the impact of archaic introgression on more complex adaptive responses to hypobaric hypoxia evolved by populations of Tibetan/Sherpa ancestry, which have been plausibly mediated by soft selective sweeps and/or polygenic adaptations rather than by hard selective sweeps. For this purpose, we used a combination of composite-likelihood and gene network-based methods to detect adaptive loci in introgressed chromosomal segments from Tibetan WGS data and to shortlist those presenting Denisovan-like derived alleles that participate to the same functional pathways and are absent in populations of African ancestry, which are supposed to do not have experienced Denisovan admixture. According to this approach, we identified multiple genes putatively involved in archaic introgression events and that, especially as regards TBC1D1, RASGRF2, PRKAG2, and KRAS, have plausibly contributed to shape the adaptive modulation of angiogenesis and of certain cardiovascular traits in high-altitude Himalayan peoples. These findings provided unprecedented evidence about the complexity of the adaptive phenotype evolved by these human groups to cope with challenges imposed by hypobaric hypoxia, offering new insights into the tangled interplay of genetic determinants that mediates the physiological adjustments crucial for human adaptation to the high-altitude environment.