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Research article - Peer-reviewed, 2017

Short oligogalacturonides induce pathogen resistance-associated gene expression in Arabidopsis thaliana

Davidsson, Par; Broberg, Martin; Kariola, Tarja; Sipari, Nina; Pirhonen, Minna; Palva, E. Tapio


Background: Oligogalacturonides (OGs) are important components of damage-associated molecular pattern (DAMP) signaling and influence growth regulation in plants. Recent studies have focused on the impact of long OGs (degree of polymerization (DP) from 10-15), demonstrating the induction of plant defense signaling resulting in enhanced defenses to necrotrophic pathogens. To clarify the role of trimers (trimeric OGs, DP3) in DAMP signaling and their impact on plant growth regulation, we performed a transcriptomic analysis through the RNA sequencing of Arabidopsis thaliana exposed to trimers.Results: The transcriptomic data from trimer-treated Arabidopsis seedlings indicate a clear activation of genes involved in defense signaling, phytohormone signaling and a down-regulation of genes involved in processes related to growth regulation and development. This is further accompanied with improved defenses against necrotrophic pathogens triggered by the trimer treatment, indicating that short OGs have a clear impact on plant responses, similar to those described for long OGs.Conclusions: Our results demonstrate that trimers are indeed active elicitors of plant defenses. This is clearly indicated by the up-regulation of genes associated with plant defense signaling, accompanied with improved defenses against necrotrophic pathogens. Moreover, trimers simultaneously trigger a clear down-regulation of genes and gene sets associated with growth and development, leading to stunted seedling growth in Arabidopsis.


Plant signaling; Arabidopsis thaliana; Oligogalacturonides; OG; Trimers; Transcriptomics; Defense induction; Growth inhibition; Disease resistance; Pectobacterium carotovorum; Botrytis cinerea

Published in

BMC Plant Biology
2017, Volume: 17, article number: 19

        UKÄ Subject classification

        Bioinformatics and Systems Biology
        Biochemistry and Molecular Biology

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