A general non-self response as part of plant immunity

被引:44
|
作者
Maier, Benjamin A. [1 ]
Kiefer, Patrick [1 ]
Field, Christopher M. [1 ]
Hemmerle, Lucas [1 ]
Bortfeld-Miller, Miriam [1 ]
Emmenegger, Barbara [1 ]
Schaefer, Martin [1 ]
Pfeilmeier, Sebastian [1 ]
Sunagawa, Shinichi [1 ]
Vogel, Christine M. [1 ]
Vorholt, Julia A. [1 ]
机构
[1] Swiss Fed Inst Technol, Inst Microbiol, Zurich, Switzerland
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
DIFFERENTIAL EXPRESSION ANALYSIS; MASS-SPECTROMETRY DATA; ARABIDOPSIS-THALIANA; INNATE IMMUNITY; IN-PLANTA; TRANSCRIPTOME; MUTANT; COLONIZATION; METABOLISM; RESISTANCE;
D O I
10.1038/s41477-021-00913-1
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Plants, like other multicellular lifeforms, are colonized by microorganisms. How plants respond to their microbiota is currently not well understood. We used a phylogenetically diverse set of 39 endogenous bacterial strains from Arabidopsis thaliana leaves to assess host transcriptional and metabolic adaptations to bacterial encounters. We identified a molecular response, which we termed the general non-self response (GNSR) that involves the expression of a core set of 24 genes. The GNSR genes are not only consistently induced by the presence of most strains, they also comprise the most differentially regulated genes across treatments and are predictive of a hierarchical transcriptional reprogramming beyond the GNSR. Using a complementary untargeted metabolomics approach we link the GNSR to the tryptophan-derived secondary metabolism, highlighting the importance of small molecules in plant-microbe interactions. We demonstrate that several of the GNSR genes are required for resistance against the bacterial pathogen Pseudomonas syringae. Our results suggest that the GNSR constitutes a defence adaptation strategy that is consistently elicited by diverse strains from various phyla, contributes to host protection and involves secondary metabolism. Microbes induce an immune response in plants that includes transcriptional changes and biosynthesis of defence molecules. Analysis of both transcriptome and metabolome output to multiple bacteria identifies a common non-self response to microorganisms.
引用
收藏
页码:696 / +
页数:28
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