IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v589y2021i7842d10.1038_s41586-020-03052-3.html
   My bibliography  Save this article

Measuring DNA mechanics on the genome scale

Author

Listed:
  • Aakash Basu

    (Johns Hopkins University School of Medicine
    University of Illinois at Urbana-Champaign)

  • Dmitriy G. Bobrovnikov

    (Johns Hopkins University School of Medicine)

  • Zan Qureshi

    (Johns Hopkins University)

  • Tunc Kayikcioglu

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

  • Thuy T. M. Ngo

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

  • Anand Ranjan

    (Johns Hopkins University)

  • Sebastian Eustermann

    (Ludwig-Maximilians-Universität
    Gene Center, Ludwig-Maximilians-Universität)

  • Basilio Cieza

    (Johns Hopkins University)

  • Michael T. Morgan

    (Johns Hopkins University School of Medicine)

  • Miroslav Hejna

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

  • H. Tomas Rube

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

  • Karl-Peter Hopfner

    (Ludwig-Maximilians-Universität
    Gene Center, Ludwig-Maximilians-Universität)

  • Cynthia Wolberger

    (Johns Hopkins University School of Medicine)

  • Jun S. Song

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign
    University of Illinois)

  • Taekjip Ha

    (Johns Hopkins University School of Medicine
    University of Illinois at Urbana-Champaign
    Johns Hopkins University
    Johns Hopkins University)

Abstract

Mechanical deformations of DNA such as bending are ubiquitous and have been implicated in diverse cellular functions1. However, the lack of high-throughput tools to measure the mechanical properties of DNA has limited our understanding of how DNA mechanics influence chromatin transactions across the genome. Here we develop ‘loop-seq’—a high-throughput assay to measure the propensity for DNA looping—and determine the intrinsic cyclizabilities of 270,806 50-base-pair DNA fragments that span Saccharomyces cerevisiae chromosome V, other genomic regions, and random sequences. We found sequence-encoded regions of unusually low bendability within nucleosome-depleted regions upstream of transcription start sites (TSSs). Low bendability of linker DNA inhibits nucleosome sliding into the linker by the chromatin remodeller INO80, which explains how INO80 can define nucleosome-depleted regions in the absence of other factors2. Chromosome-wide, nucleosomes were characterized by high DNA bendability near dyads and low bendability near linkers. This contrast increases for deeper gene-body nucleosomes but disappears after random substitution of synonymous codons, which suggests that the evolution of codon choice has been influenced by DNA mechanics around gene-body nucleosomes. Furthermore, we show that local DNA mechanics affect transcription through TSS-proximal nucleosomes. Overall, this genome-scale map of DNA mechanics indicates a ‘mechanical code’ with broad functional implications.

Suggested Citation

  • Aakash Basu & Dmitriy G. Bobrovnikov & Zan Qureshi & Tunc Kayikcioglu & Thuy T. M. Ngo & Anand Ranjan & Sebastian Eustermann & Basilio Cieza & Michael T. Morgan & Miroslav Hejna & H. Tomas Rube & Karl, 2021. "Measuring DNA mechanics on the genome scale," Nature, Nature, vol. 589(7842), pages 462-467, January.
  • Handle: RePEc:nat:nature:v:589:y:2021:i:7842:d:10.1038_s41586-020-03052-3
    DOI: 10.1038/s41586-020-03052-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-020-03052-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-020-03052-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barrington-Leigh, C.P., 2024. "The econometrics of happiness: Are we underestimating the returns to education and income?," Journal of Public Economics, Elsevier, vol. 230(C).
    2. Alejo, Anna & Jenkins, Robert & Reuge, Nicolas & Yao, Haogen, 2023. "Understanding and addressing the post-pandemic learning disparities," International Journal of Educational Development, Elsevier, vol. 102(C).
    3. Jinxin Phaedo Chen & Constantin Diekmann & Honggui Wu & Chong Chen & Giulia Chiara & Enrico Berrino & Konstantinos L. Georgiadis & Britta A. M. Bouwman & Mohit Virdi & Luuk Harbers & Sara Erika Bellom, 2024. "scCircle-seq unveils the diversity and complexity of extrachromosomal circular DNAs in single cells," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    4. Lina Wang & Siru Li & Kai Wang & Na Wang & Qiaoling Liu & Zhen Sun & Li Wang & Lulu Wang & Quentin Liu & Chengli Song & Caigang Liu & Qingkai Yang, 2022. "DNA mechanical flexibility controls DNA potential to activate cGAS-mediated immune surveillance," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    5. Joana Segura & Ofelia Díaz-Ingelmo & Belén Martínez-García & Alba Ayats-Fraile & Christoforos Nikolaou & Joaquim Roca, 2024. "Nucleosomal DNA has topological memory," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    6. Håkan Nordström, 2023. "Does the risk of carbon leakage justify the CBAM?," RSCAS Working Papers 2023/08, European University Institute.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:589:y:2021:i:7842:d:10.1038_s41586-020-03052-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.