JOURNAL ARTICLE

Plant Growth Promoting Rhizobacteria (PGPR) induced protection: A plant immunity perspective.

  • Published In: Physiologia Plantarum, 2024, v. 176, n. 5. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kumari, Rinkee; Pandey, Ekta; Bushra, Sayyada; Faizan, Shahla; Pandey, Saurabh 3 of 3

Abstract

Plant‐environment interactions, particularly biotic stress, are increasingly essential for global food security due to crop losses in the dynamic environment. Therefore, understanding plant responses to biotic stress is vital to mitigate damage. Beneficial microorganisms and their association with plants can reduce the damage associated with plant pathogens. One such group is PGPR (Plant growth‐promoting rhizobacteria), which influences plant immunity significantly by interacting with biotic stress factors and plant signalling compounds. This review explores the types, metabolism, and mechanisms of action of PGPR, including their enzyme pathways and the signalling compounds secreted by PGPR that modulate gene and protein expression during plant defence. Furthermore, the review will delve into the crosstalk between PGPR and other plant growth regulators and signalling compounds, elucidating the physiological, biochemical, and molecular insights into PGPR's impact on plants under multiple biotic stresses, including interactions with fungi, bacteria, and viruses. Overall, the review comprehensively adds to our knowledge about PGPR's role in plant immunity and its application for agricultural resilience and food security. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Physiologia Plantarum. 2024/09, Vol. 176, Issue 5, p1
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2024
  • ISSN:0031-9317
  • DOI:10.1111/ppl.14495
  • Accession Number:180504474
  • Copyright Statement:Copyright of Physiologia Plantarum 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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