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Uncovering the small proteome of Methanosarcina mazei using Ribo-seq and peptidomics under different nitrogen conditions

Author

Listed:
  • Muhammad Aammar Tufail

    (Kiel University)

  • Britta Jordan

    (Kiel University)

  • Lydia Hadjeras

    (University of Würzburg)

  • Rick Gelhausen

    (University of Freiburg)

  • Liam Cassidy

    (Kiel University)

  • Tim Habenicht

    (Kiel University)

  • Miriam Gutt

    (Kiel University)

  • Lisa Hellwig

    (Kiel University)

  • Rolf Backofen

    (University of Freiburg)

  • Andreas Tholey

    (Kiel University)

  • Cynthia M. Sharma

    (University of Würzburg)

  • Ruth A. Schmitz

    (Kiel University)

Abstract

The mesophilic methanogenic archaeal model organism Methanosarcina mazei strain Gö1 is crucial for climate and environmental research due to its ability to produce methane. Here, we establish a Ribo-seq protocol for M. mazei strain Gö1 under two growth conditions (nitrogen sufficiency and limitation). The translation of 93 previously annotated and 314 unannotated small ORFs, coding for proteins ≤ 70 amino acids, is predicted with high confidence based on Ribo-seq data. LC-MS analysis validates the translation for 62 annotated small ORFs and 26 unannotated small ORFs. Epitope tagging followed by immunoblotting analysis confirms the translation of 13 out of 16 selected unannotated small ORFs. A comprehensive differential transcription and translation analysis reveals that 29 of 314 unannotated small ORFs are differentially regulated in response to nitrogen availability at the transcriptional and 49 at the translational level. A high number of reported small RNAs are emerging as dual-function RNAs, including sRNA154, the central regulatory small RNA of nitrogen metabolism. Several unannotated small ORFs are conserved in Methanosarcina species and overproducing several (small ORF encoded) small proteins suggests key physiological functions. Overall, the comprehensive analysis opens an avenue to elucidate the function(s) of multitudinous small proteins and dual-function RNAs in M. mazei.

Suggested Citation

  • Muhammad Aammar Tufail & Britta Jordan & Lydia Hadjeras & Rick Gelhausen & Liam Cassidy & Tim Habenicht & Miriam Gutt & Lisa Hellwig & Rolf Backofen & Andreas Tholey & Cynthia M. Sharma & Ruth A. Schm, 2024. "Uncovering the small proteome of Methanosarcina mazei using Ribo-seq and peptidomics under different nitrogen conditions," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53008-8
    DOI: 10.1038/s41467-024-53008-8
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    References listed on IDEAS

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    1. Kathryn Tunyasuvunakool & Jonas Adler & Zachary Wu & Tim Green & Michal Zielinski & Augustin Žídek & Alex Bridgland & Andrew Cowie & Clemens Meyer & Agata Laydon & Sameer Velankar & Gerard J. Kleywegt, 2021. "Highly accurate protein structure prediction for the human proteome," Nature, Nature, vol. 596(7873), pages 590-596, August.
    2. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    3. Zhengtao Xiao & Qin Zou & Yu Liu & Xuerui Yang, 2016. "Genome-wide assessment of differential translations with ribosome profiling data," Nature Communications, Nature, vol. 7(1), pages 1-11, September.
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