Universität zu Köln

Koprivova, Anna ORCID: 0000-0001-8168-4536, Berka, Miroslav, Berková, Veronika, Ristova, Daniela ORCID: 0000-0001-8353-7687, Türksoy, Gözde Merve ORCID: 0000-0002-9472-205X, Schwier, Melina ORCID: 0000-0001-6416-2605, Westhoff, Philipp, Černý, Martin and Kopriva, Stanislav ORCID: 0000-0002-7416-6551 (2025). Multilevel Analysis of Response to Plant Growth-Promoting and Pathogenic Bacteria in Arabidopsis Roots. Molecular Plant-Microbe Interactions®, 38 (6). pp. 1031-1043. American Phytopathological Society (APS). ISSN 0894-0282

PDF mpmi-09-25-0125-r.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution Non-commercial No Derivatives. Download (6MB)

Abstract

A major challenge in plant–microbe interaction research is understanding how plants distinguish between commensal and pathogenic microorganisms. We compared Arabidopsis responses to two contrasting bacterial strains, the plant growth-promoting (PGP) Pseudomonas sp. CH267 and the pathogen Burkholderia glumae PG1, using integrated multi-omics analyses. The pathogen triggered stronger transcriptional reprogramming and proteomic changes in roots than the PGP strain, and both strains also affected numerous leaf proteins, indicating systemic responses. Interaction with both strains increased the abundance of sulfur-containing metabolites camalexin, glutathione, and cysteine, in particular under pathogen treatment, which corresponded with elevated total sulfur in the leaves. Root and root exudate metabolomes significantly changed, with amino acids and tricarboxylic acid cycle intermediates accumulating in roots but being diminished in the exudates. Integrative analysis across the omics datasets revealed strong correlations between metabolite levels, protein abundance, and transcript levels, highlighting new links between sulfur metabolism, defense pathways, and mineral nutrition, including iron. Together, these findings uncover the complex multilayered nature of Arabidopsis responses to commensal and pathogenic bacteria and identify new connections across different regulatory levels. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Item Type:	Article
Creators:	Creators Email ORCID ORCID Put Code Koprivova, Anna UNSPECIFIED https://orcid.org/0000-0001-8168-4536 UNSPECIFIED Berka, Miroslav UNSPECIFIED UNSPECIFIED UNSPECIFIED Berková, Veronika UNSPECIFIED UNSPECIFIED UNSPECIFIED Ristova, Daniela UNSPECIFIED https://orcid.org/0000-0001-8353-7687 UNSPECIFIED Türksoy, Gözde Merve UNSPECIFIED https://orcid.org/0000-0002-9472-205X UNSPECIFIED Schwier, Melina UNSPECIFIED https://orcid.org/0000-0001-6416-2605 UNSPECIFIED Westhoff, Philipp UNSPECIFIED UNSPECIFIED UNSPECIFIED Černý, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Kopriva, Stanislav UNSPECIFIED https://orcid.org/0000-0002-7416-6551 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-812156
Identification Number:	10.1094/MPMI-09-25-0125-R
Journal or Publication Title:	Molecular Plant-Microbe Interactions®
Volume:	38
Number:	6
Page Range:	pp. 1031-1043
Number of Pages:	13
Date:	1 January 2025
Publisher:	American Phytopathological Society (APS)
ISSN:	0894-0282
Language:	English
Faculty:	External institution Faculty of Mathematics and Natural Sciences
Divisions:	Außeruniversitäre Forschungseinrichtungen > MPI for Plant Breeding Research CEPLAS - Cluster of Excellence on Plant Sciences
Subjects:	Life sciences
Uncontrolled Keywords:	Keywords Language Arabidopsis thaliana ; integrative analysis ; ionomics ; metabolomics ; plant–microbe interactions ; proteomics ; root exu- dates ; transcriptomics English
['eprint_fieldname_oa_funders' not defined]:	Publikationsfonds UzK
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/81215