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Evolutionary conservation of the fidelity of transcription

Author

Listed:
  • Claire Chung

    (University of Southern California)

  • Bert M. Verheijen

    (University of Southern California)

  • Zoe Navapanich

    (University of Southern California)

  • Eric G. McGann

    (University of Southern California)

  • Sarah Shemtov

    (University of Southern California)

  • Guan-Ju Lai

    (University of Southern California)

  • Payal Arora

    (University of Pittsburgh)

  • Atif Towheed

    (Center for Mitochondrial and Epigenomic Medicine)

  • Suraiya Haroon

    (Center for Mitochondrial and Epigenomic Medicine)

  • Agnes Holczbauer

    (Center for Mitochondrial and Epigenomic Medicine)

  • Sharon Chang

    (University of Southern California)

  • Zarko Manojlovic

    (University of Southern California)

  • Stephen Simpson

    (University of New Hampshire)

  • Kelley W. Thomas

    (University of New Hampshire)

  • Craig Kaplan

    (University of Pittsburgh)

  • Peter Hasselt

    (University of Utrecht)

  • Marc Timmers

    (Medical Center - University of Freiburg
    German Cancer Research Center (DKFZ))

  • Dorothy Erie

    (University of North Carolina)

  • Lin Chen

    (University of Southern California)

  • Jean-Franćois Gout

    (Mississippi State University)

  • Marc Vermulst

    (University of Southern California)

Abstract

Accurate transcription is required for the faithful expression of genetic information. However, relatively little is known about the molecular mechanisms that control the fidelity of transcription, or the conservation of these mechanisms across the tree of life. To address these issues, we measured the error rate of transcription in five organisms of increasing complexity and found that the error rate of RNA polymerase II ranges from 2.9 × 10−6 ± 1.9 × 10−7/bp in yeast to 4.0 × 10−6 ± 5.2 × 10−7/bp in worms, 5.69 × 10−6 ± 8.2 × 10−7/bp in flies, 4.9 × 10−6 ± 3.6 × 10−7/bp in mouse cells and 4.7 × 10−6 ± 9.9 × 10−8/bp in human cells. These error rates were modified by various factors including aging, mutagen treatment and gene modifications. For example, the deletion or modification of several related genes increased the error rate substantially in both yeast and human cells. This research highlights the evolutionary conservation of factors that control the fidelity of transcription. Additionally, these experiments provide a reasonable estimate of the error rate of transcription in human cells and identify disease alleles in a subunit of RNA polymerase II that display error-prone transcription. Finally, we provide evidence suggesting that the error rate and spectrum of transcription co-evolved with our genetic code.

Suggested Citation

  • Claire Chung & Bert M. Verheijen & Zoe Navapanich & Eric G. McGann & Sarah Shemtov & Guan-Ju Lai & Payal Arora & Atif Towheed & Suraiya Haroon & Agnes Holczbauer & Sharon Chang & Zarko Manojlovic & St, 2023. "Evolutionary conservation of the fidelity of transcription," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36525-w
    DOI: 10.1038/s41467-023-36525-w
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    References listed on IDEAS

    as
    1. Dmitry G. Vassylyev & Marina N. Vassylyeva & Jinwei Zhang & Murali Palangat & Irina Artsimovitch & Robert Landick, 2007. "Structural basis for substrate loading in bacterial RNA polymerase," Nature, Nature, vol. 448(7150), pages 163-168, July.
    2. Benjamin Werner & Jack Case & Marc J. Williams & Ketevan Chkhaidze & Daniel Temko & Javier Fernández-Mateos & George D. Cresswell & Daniel Nichol & William Cross & Inmaculada Spiteri & Weini Huang & I, 2020. "Measuring single cell divisions in human tissues from multi-region sequencing data," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    3. Marc Vermulst & Ashley S. Denney & Michael J. Lang & Chao-Wei Hung & Stephanie Moore & M. Arthur Moseley & J. Will Thompson & Victoria Madden & Jacob Gauer & Katie J. Wolfe & Daniel W. Summers & Jenni, 2015. "Correction: Corrigendum: Transcription errors induce proteotoxic stress and shorten cellular lifespan," Nature Communications, Nature, vol. 6(1), pages 1-1, December.
    4. Ashley Acevedo & Leonid Brodsky & Raul Andino, 2014. "Mutational and fitness landscapes of an RNA virus revealed through population sequencing," Nature, Nature, vol. 505(7485), pages 686-690, January.
    5. Marc Vermulst & Ashley S. Denney & Michael J. Lang & Chao-Wei Hung & Stephanie Moore & M. Arthur Moseley & J. Will Thompson & Victoria Madden & Jacob Gauer & Katie J. Wolfe & Daniel W. Summers & Jenni, 2015. "Transcription errors induce proteotoxic stress and shorten cellular lifespan," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
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