JOURNAL ARTICLE

Roles of ROS and redox in regulating cell‐to‐cell communication: Spotlight on viral modulation of redox for local spread.

  • Published In: Plant, Cell & Environment, 2024, v. 47, n. 8. P. 2830 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Alazem, Mazen; Burch‐Smith, Tessa M. 3 of 3

Abstract

Reactive oxygen species (ROS) are important signalling molecules that influence many aspects of plant biology. One way in which ROS influence plant growth and development is by modifying intercellular trafficking through plasmodesmata (PD). Viruses have evolved to use PD for their local cell‐to‐cell spread between plant cells, so it is therefore not surprising that they have found ways to modulate ROS and redox signalling to optimise PD function for their benefit. This review examines how intracellular signalling via ROS and redox pathways regulate intercellular trafficking via PD during development and stress. The relationship between viruses and ROS‐redox systems, and the strategies viruses employ to control PD function by interfering with ROS‐redox in plants is also discussed. Summary statement: Reactive oxygen species (ROS) and redox are important players in pathways related to intercellular trafficking between plant cells. This reviews discussed the roles of ROS and redox in plant development and stress, focusing on how viruses redirect host ROS and redox signalling for their replication and spread during infection. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Plant, Cell & Environment. 2024/08, Vol. 47, Issue 8, p2830
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2024
  • ISSN:0140-7791
  • DOI:10.1111/pce.14805
  • Accession Number:178396304
  • Copyright Statement:Copyright of Plant, Cell & Environment is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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