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The proteome landscape of the kingdoms of life

Author

Listed:
  • Johannes B. Müller

    (Max Planck Institute of Biochemistry)

  • Philipp E. Geyer

    (Max Planck Institute of Biochemistry
    OmicEra Diagnostics GmbH)

  • Ana R. Colaço

    (University of Copenhagen)

  • Peter V. Treit

    (Max Planck Institute of Biochemistry)

  • Maximilian T. Strauss

    (Max Planck Institute of Biochemistry
    OmicEra Diagnostics GmbH)

  • Mario Oroshi

    (Max Planck Institute of Biochemistry)

  • Sophia Doll

    (Max Planck Institute of Biochemistry
    OmicEra Diagnostics GmbH)

  • Sebastian Virreira Winter

    (Max Planck Institute of Biochemistry
    OmicEra Diagnostics GmbH)

  • Jakob M. Bader

    (Max Planck Institute of Biochemistry)

  • Niklas Köhler

    (Helmholtz Zentrum München–German Research Center for Environmental Health, Institute of Computational Biology)

  • Fabian Theis

    (Helmholtz Zentrum München–German Research Center for Environmental Health, Institute of Computational Biology
    Technical University of Munich, Department of Mathematics)

  • Alberto Santos

    (University of Copenhagen
    University of Oxford)

  • Matthias Mann

    (Max Planck Institute of Biochemistry
    University of Copenhagen)

Abstract

Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported1, advances in mass-spectrometry-based proteomics2 have enabled increasingly comprehensive identification and quantification of the human proteome3–6. However, there have been few comparisons across species7,8, in stark contrast with genomics initiatives9. Here we use an advanced proteomics workflow—in which the peptide separation step is performed by a microstructured and extremely reproducible chromatographic system—for the in-depth study of 100 taxonomically diverse organisms. With two million peptide and 340,000 stringent protein identifications obtained in a standardized manner, we double the number of proteins with solid experimental evidence known to the scientific community. The data also provide a large-scale case study for sequence-based machine learning, as we demonstrate by experimentally confirming the predicted properties of peptides from Bacteroides uniformis. Our results offer a comparative view of the functional organization of organisms across the entire evolutionary range. A remarkably high fraction of the total proteome mass in all kingdoms is dedicated to protein homeostasis and folding, highlighting the biological challenge of maintaining protein structure in all branches of life. Likewise, a universally high fraction is involved in supplying energy resources, although these pathways range from photosynthesis through iron sulfur metabolism to carbohydrate metabolism. Generally, however, proteins and proteomes are remarkably diverse between organisms, and they can readily be explored and functionally compared at www.proteomesoflife.org.

Suggested Citation

  • Johannes B. Müller & Philipp E. Geyer & Ana R. Colaço & Peter V. Treit & Maximilian T. Strauss & Mario Oroshi & Sophia Doll & Sebastian Virreira Winter & Jakob M. Bader & Niklas Köhler & Fabian Theis , 2020. "The proteome landscape of the kingdoms of life," Nature, Nature, vol. 582(7813), pages 592-596, June.
  • Handle: RePEc:nat:nature:v:582:y:2020:i:7813:d:10.1038_s41586-020-2402-x
    DOI: 10.1038/s41586-020-2402-x
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