JOURNAL ARTICLE
Cellobiose elicits immunity in lettuce conferring resistance to Botrytis cinerea.
Published In: Journal of Experimental Botany, 2023, v. 74, n. 3. P. 1022 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Jiuxing He; Meng Kong; Yuanchao Qian; Min Gong; Guohua Lv; Jiqing Song 3 of 3
Abstract
This article investigates the role of cellobiose, a cellulose hydrolysis product, as an elicitor of innate immunity in lettuce (Lactuca sativa) against the fungal pathogen Botrytis cinerea. The study demonstrates that exogenous application of cellobiose at moderate concentrations (notably 40 mg l–1) enhances lettuce resistance by activating defense-related enzymes such as β-1,3-glucanase and antioxidative enzymes, and by inducing transcriptional reprogramming involving key immune regulators including ENHANCED DISEASE SUSCEPTIBILITY 1 (EDS1), PATHOGENESIS-RELATED TRANSCRIPTIONAL ACTIVATOR GENES (PTI6), and WRKY transcription factors. Transcriptome analysis revealed up-regulation of genes associated with plant–pathogen interactions, hormone signaling (notably salicylic acid and ethylene pathways), and receptor-like kinases, suggesting that cellobiose acts as a damage-associated molecular pattern (DAMP) triggering pattern-triggered immunity without inhibiting plant growth. The findings propose a model wherein cellobiose is recognized by yet unidentified plasma membrane receptors, leading to activation of downstream signaling cascades and enhanced disease resistance, highlighting its potential as a plant immune inducer.
Additional Information
- Source:Journal of Experimental Botany. 2023/02, Vol. 74, Issue 3, p1022
- Document Type:Article
- Subject Area:Nutrition and Dietetics
- Publication Date:2023
- ISSN:0022-0957
- DOI:10.1093/jxb/erac448
- Accession Number:174393353
- Copyright Statement:Copyright of Journal of Experimental Botany is the property of Oxford University Press / USA 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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