IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-41503-3.html
   My bibliography  Save this article

A plant cytorhabdovirus modulates locomotor activity of insect vectors to enhance virus transmission

Author

Listed:
  • Dong-Min Gao

    (China Agricultural University)

  • Ji-Hui Qiao

    (China Agricultural University)

  • Qiang Gao

    (China Agricultural University
    China Agricultural University)

  • Jiawen Zhang

    (China Agricultural University)

  • Ying Zang

    (China Agricultural University)

  • Liang Xie

    (China Agricultural University)

  • Yan Zhang

    (China Agricultural University)

  • Ying Wang

    (China Agricultural University)

  • Jingyan Fu

    (China Agricultural University)

  • Hua Zhang

    (China Agricultural University)

  • Chenggui Han

    (China Agricultural University)

  • Xian-Bing Wang

    (China Agricultural University)

Abstract

Transmission of many plant viruses relies on phloem-feeding insect vectors. However, how plant viruses directly modulate insect behavior is largely unknown. Barley yellow striate mosaic virus (BYSMV) is transmitted by the small brown planthopper (SBPH, Laodelphax striatellus). Here, we show that BYSMV infects the central nervous system (CNS) of SBPHs, induces insect hyperactivity, and prolongs phloem feeding duration. The BYSMV accessory protein P6 interacts with the COP9 signalosome subunit 5 (LsCSN5) of SBPHs and suppresses LsCSN5-regulated de-neddylation from the Cullin 1 (CUL1), hereby inhibiting CUL1-based E3 ligases-mediated degradation of the circadian clock protein Timeless (TIM). Thus, virus infection or knockdown of LsCSN5 compromises TIM oscillation and induces high insect locomotor activity for transmission. Additionally, expression of BYSMV P6 in the CNS of transgenic Drosophila melanogaster disturbs circadian rhythm and induces high locomotor activity. Together, our results suggest the molecular mechanisms whereby BYSMV modulates locomotor activity of insect vectors for transmission.

Suggested Citation

  • Dong-Min Gao & Ji-Hui Qiao & Qiang Gao & Jiawen Zhang & Ying Zang & Liang Xie & Yan Zhang & Ying Wang & Jingyan Fu & Hua Zhang & Chenggui Han & Xian-Bing Wang, 2023. "A plant cytorhabdovirus modulates locomotor activity of insect vectors to enhance virus transmission," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41503-3
    DOI: 10.1038/s41467-023-41503-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-41503-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-41503-3?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
    ---><---

    References listed on IDEAS

    as
    1. Yan Zhang & Ye Wang & Xie’an Feng & Shuo Zhang & Xueqiang Xu & Lingyu Li & Shudong Niu & Yingnan Bo & Chao Wang & Zhen Li & Guoliang Xia & Hua Zhang, 2021. "Oocyte-derived microvilli control female fertility by optimizing ovarian follicle selection in mice," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    2. Kevin P Keegan & Suraj Pradhan & Ji-Ping Wang & Ravi Allada, 2007. "Meta-Analysis of Drosophila Circadian Microarray Studies Identifies a Novel Set of Rhythmically Expressed Genes," PLOS Computational Biology, Public Library of Science, vol. 3(11), pages 1-1, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Suining Deng & Siqi Jiang & Baoshen Liu & Tao Zhong & Qingcai Liu & Jianju Liu & Yuanliang Liu & Can Yin & Chen Sun & Mingliang Xu, 2024. "ZmGDIα-hel counters the RBSDV-induced reduction of active gibberellins to alleviate maize rough dwarf virus disease," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

    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. Alan L Hutchison & Mark Maienschein-Cline & Andrew H Chiang & S M Ali Tabei & Herman Gudjonson & Neil Bahroos & Ravi Allada & Aaron R Dinner, 2015. "Improved Statistical Methods Enable Greater Sensitivity in Rhythm Detection for Genome-Wide Data," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-29, March.

    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:14:y:2023:i:1:d:10.1038_s41467-023-41503-3. 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.

    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.