IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-30000-8.html
   My bibliography  Save this article

Testing the adaptive hypothesis of lagging-strand encoding in bacterial genomes

Author

Listed:
  • Haoxuan Liu

    (University of Michigan)

  • Jianzhi Zhang

    (University of Michigan)

Abstract

No abstract is available for this item.

Suggested Citation

  • Haoxuan Liu & Jianzhi Zhang, 2022. "Testing the adaptive hypothesis of lagging-strand encoding in bacterial genomes," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30000-8
    DOI: 10.1038/s41467-022-30000-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-30000-8
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-30000-8?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
    ---><---

    References listed on IDEAS

    as
    1. T. Sabari Sankar & Brigitta D. Wastuwidyaningtyas & Yuexin Dong & Sarah A. Lewis & Jue D. Wang, 2016. "The nature of mutations induced by replication–transcription collisions," Nature, Nature, vol. 535(7610), pages 178-181, July.
    2. Wei-Hua Chen & Guanting Lu & Peer Bork & Songnian Hu & Martin J. Lercher, 2016. "Energy efficiency trade-offs drive nucleotide usage in transcribed regions," Nature Communications, Nature, vol. 7(1), pages 1-10, September.
    3. Christopher N. Merrikh & Houra Merrikh, 2018. "Gene inversion potentiates bacterial evolvability and virulence," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Houra Merrikh & Christopher Merrikh, 2022. "Reply to: Testing the adaptive hypothesis of lagging-strand encoding in bacterial genomes," Nature Communications, Nature, vol. 13(1), pages 1-5, December.
    2. James S. Horton & Louise M. Flanagan & Robert W. Jackson & Nicholas K. Priest & Tiffany B. Taylor, 2021. "A mutational hotspot that determines highly repeatable evolution can be built and broken by silent genetic changes," Nature Communications, Nature, vol. 12(1), pages 1-10, December.

    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:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30000-8. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.