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Non-optimal codon usage affects expression, structure and function of clock protein FRQ

Author

Listed:
  • Mian Zhou

    (The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390, USA)

  • Jinhu Guo

    (The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390, USA
    Present address: State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China.)

  • Joonseok Cha

    (The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390, USA)

  • Michael Chae

    (The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390, USA)

  • She Chen

    (National Institute of Biological Sciences, 7 Life Science Park Road, Changping District, Beijing 102206, China)

  • Jose M. Barral

    (The University of Texas Medical Branch)

  • Matthew S. Sachs

    (Texas A&M University)

  • Yi Liu

    (The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390, USA)

Abstract

The frq gene, essential for circadian clock function, is shown to differ from most other genes in Neurospora by exhibiting non-optimal codon usage; by contrast, optimization of codon usage is unexpectedly found to affect the structure and function of the coded protein, subsequently impairing circadian feedback loops.

Suggested Citation

  • Mian Zhou & Jinhu Guo & Joonseok Cha & Michael Chae & She Chen & Jose M. Barral & Matthew S. Sachs & Yi Liu, 2013. "Non-optimal codon usage affects expression, structure and function of clock protein FRQ," Nature, Nature, vol. 495(7439), pages 111-115, March.
    • Handle: RePEc:nat:nature:v:495:y:2013:i:7439:d:10.1038_nature11833
    DOI: 10.1038/nature11833
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    Cited by:

    1. Rajat Chaudhary & Subhash Chand & Bharath Kumar Alam & Prashant Yadav & Vijay Kamal Meena & Manoj Kumar Patel & Priya Pardeshi & Sanjay Singh Rathore & Yashpal Taak & Navinder Saini & Devendra Kumar Y, 2022. "Codon Usage Bias for Fatty Acid Genes FAE1 and FAD2 in Oilseed Brassica Species," Sustainability, MDPI, vol. 14(17), pages 1-21, September.
    2. Rebeccah K. Stewart & Patrick Nguyen & Alain Laederach & Pelin C. Volkan & Jessica K. Sawyer & Donald T. Fox, 2024. "Orb2 enables rare-codon-enriched mRNA expression during Drosophila neuron differentiation," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Ritaban Halder & Daniel A. Nissley & Ian Sitarik & Yang Jiang & Yiyun Rao & Quyen V. Vu & Mai Suan Li & Justin Pritchard & Edward P. O’Brien, 2023. "How soluble misfolded proteins bypass chaperones at the molecular level," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Meaghan S. Jankowski & Daniel Griffith & Divya G. Shastry & Jacqueline F. Pelham & Garrett M. Ginell & Joshua Thomas & Pankaj Karande & Alex S. Holehouse & Jennifer M. Hurley, 2024. "Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    5. Daniel A. Nissley & Yang Jiang & Fabio Trovato & Ian Sitarik & Karthik B. Narayan & Philip To & Yingzi Xia & Stephen D. Fried & Edward P. O’Brien, 2022. "Universal protein misfolding intermediates can bypass the proteostasis network and remain soluble and less functional," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Bin Shao & Jiawei Yan & Jing Zhang & Lili Liu & Ye Chen & Allen R. Buskirk, 2024. "Riboformer: a deep learning framework for predicting context-dependent translation dynamics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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