Coordination of microbe-host homeostasis via a crosstalk with plant innate immunity

Asymptomatic plants grown in natural soil are colonized by phylogenetically structured communities of microbes known as the microbiota. Individual microbes can activate microbe-associated molecular pattern (MAMP)-triggered immunity (MTI), which limits pathogen proliferation but curtails plant growth, a phenomenon known as the growth-defense trade-off. We report that in mono-associations, 41% (62/151) of taxonomically diverse root bacterial commensals suppress Arabidopsis thaliana root growth inhibition (RGI) triggered by immune-stimulating MAMPs or damage-associated molecular patterns. Amplicon sequencing of bacteria 16S rRNA genes reveal that immune activation alters the profile of synthetic communities (SynComs) comprised of RGI-non-suppressive strains, while the presence of RGI-suppressive strains attenuates this effect. Root colonization by SynComs with different complexities and RGI-suppressive activities alters the expression of 174 core host genes with functions related to root development and nutrient transport. Further, RGI-suppressive SynComs specifically downregulate a subset of immune-related genes. Pre-colonization with RGI-suppressive SynComs, or mutation of one commensal-downregulated transcription factor, MYB15, render plants more susceptible to opportunistic Pseudomonas pathogens. Our results suggest that RGI-non-suppressive and suppressive root commensals modulate host susceptibility to pathogens by either eliciting or dampening MTI responses, respectively. This interplay buffers the plant immune system against pathogen perturbation and defense-associated growth inhibition, ultimately leading to commensal-host homeostasis.

[1]  Rui Guan,et al.  Root-Secreted Coumarins and the Microbiota Interact to Improve Iron Nutrition in Arabidopsis , 2020, Cell host & microbe.

[2]  S. He,et al.  A plant genetic network for preventing dysbiosis in the phyllosphere , 2020, Nature.

[3]  N. Geldner,et al.  Co-incidence of Damage and Microbial Patterns Controls Localized Immune Responses in Roots , 2020, Cell.

[4]  Astrid Gall,et al.  Ensembl 2020 , 2019, Nucleic Acids Res..

[5]  K. Yu,et al.  Rhizosphere-Associated Pseudomonas Suppress Local Root Immune Responses by Gluconic Acid-Mediated Lowering of Environmental pH , 2019, Current Biology.

[6]  Lisha Zhang,et al.  Plant cell surface immune receptor complex signaling. , 2019, Current opinion in plant biology.

[7]  S. Kopriva,et al.  Root-specific camalexin biosynthesis controls the plant growth-promoting effects of multiple bacterial strains , 2019, Proceedings of the National Academy of Sciences.

[8]  J. Dangl,et al.  Beyond pathogens: microbiota interactions with the plant immune system. , 2019, Current opinion in microbiology.

[9]  Omri M. Finkel,et al.  A single bacterial genus maintains root development in a complex microbiome , 2019 .

[10]  R. Garrido-Oter,et al.  Root microbiota assembly and adaptive differentiation among European Arabidopsis populations , 2019, Nature Ecology & Evolution.

[11]  Ancheng C. Huang,et al.  A specialized metabolic network selectively modulates Arabidopsis root microbiota , 2019, Science.

[12]  Olga Tanaseichuk,et al.  Metascape provides a biologist-oriented resource for the analysis of systems-level datasets , 2019, Nature Communications.

[13]  P. Bork,et al.  Interactive Tree Of Life (iTOL) v4: recent updates and new developments , 2019, Nucleic Acids Res..

[14]  James C. Hu,et al.  The Gene Ontology Resource: 20 years and still GOing strong , 2019 .

[15]  The Gene Ontology Consortium,et al.  The Gene Ontology Resource: 20 years and still GOing strong , 2018, Nucleic Acids Res..

[16]  M. V. D. van der Heijden,et al.  Root exudate metabolites drive plant-soil feedbacks on growth and defense by shaping the rhizosphere microbiota , 2018, Nature Communications.

[17]  A. Mchardy,et al.  Modular Traits of the Rhizobiales Root Microbiota and Their Evolutionary Relationship with Symbiotic Rhizobia , 2018, Cell host & microbe.

[18]  Derek S. Lundberg,et al.  Arabidopsis thaliana and Pseudomonas Pathogens Exhibit Stable Associations over Evolutionary Timescales , 2018, Cell host & microbe.

[19]  M. Hartmann,et al.  Flavin Monooxygenase-Generated N-Hydroxypipecolic Acid Is a Critical Element of Plant Systemic Immunity , 2018, Cell.

[20]  S. Hacquard,et al.  Microbial interactions within the plant holobiont , 2018, Microbiome.

[21]  Jia Gu,et al.  fastp: an ultra-fast all-in-one FASTQ preprocessor , 2018, bioRxiv.

[22]  K. Mariappan,et al.  Ethylene induced plant stress tolerance by Enterobacter sp. SA187 is mediated by 2‐keto‐4‐methylthiobutyric acid production , 2018, PLoS genetics.

[23]  C. Pieterse,et al.  Root transcriptional dynamics induced by beneficial rhizobacteria and microbial immune elicitors reveal signatures of adaptation to mutualists , 2017, The Plant journal : for cell and molecular biology.

[24]  Xuemei Chen,et al.  KLU suppresses megasporocyte cell fate through SWR1-mediated activation of WRKY28 expression in Arabidopsis , 2017, Proceedings of the National Academy of Sciences.

[25]  Derek S. Lundberg,et al.  Genomic features of bacterial adaptation to plants , 2017, Nature Genetics.

[26]  T. Boller,et al.  In roots of Arabidopsis thaliana, the damage-associated molecular pattern AtPep1 is a stronger elicitor of immune signalling than flg22 or the chitin heptamer , 2017, PloS one.

[27]  Ruben Garrido-Oter,et al.  Interplay Between Innate Immunity and the Plant Microbiota. , 2017, Annual review of phytopathology.

[28]  Sur Herrera Paredes,et al.  Root microbiota drive direct integration of phosphate stress and immunity , 2017, Nature.

[29]  Roland Eils,et al.  Complex heatmaps reveal patterns and correlations in multidimensional genomic data , 2016, Bioinform..

[30]  Lior Pachter,et al.  Near-optimal probabilistic RNA-seq quantification , 2016, Nature Biotechnology.

[31]  M. Robinson,et al.  Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences , 2015, F1000Research.

[32]  Alice C. McHardy,et al.  Functional overlap of the Arabidopsis leaf and root microbiota , 2015, Nature.

[33]  Sur Herrera Paredes,et al.  Salicylic acid modulates colonization of the root microbiome by specific bacterial taxa , 2015, Science.

[34]  T. Boller,et al.  Tissue-specific FLAGELLIN-SENSING 2 (FLS2) expression in roots restores immune responses in Arabidopsis fls2 mutants. , 2015, The New phytologist.

[35]  R. Conrad,et al.  Different Bacterial Populations Associated with the Roots and Rhizosphere of Rice Incorporate Plant-Derived Carbon , 2015, Applied and Environmental Microbiology.

[36]  Cameron Johnson,et al.  Structure, variation, and assembly of the root-associated microbiomes of rice , 2015, Proceedings of the National Academy of Sciences.

[37]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[38]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[39]  X. Wang,et al.  The Secreted Peptide PIP1 Amplifies Immunity through Receptor-Like Kinase 7 , 2014, PLoS pathogens.

[40]  C. Pieterse,et al.  Pseudomonas syringae evades host immunity by degrading flagellin monomers with alkaline protease AprA. , 2014, Molecular plant-microbe interactions : MPMI.

[41]  B. Moore Growth-Defense Tradeoffs in Plants: A Balancing Act to Optimize Fitness , 2014 .

[42]  P. Schulze-Lefert,et al.  Quantitative divergence of the bacterial root microbiota in Arabidopsis thaliana relatives , 2013, Proceedings of the National Academy of Sciences.

[43]  P. Schulze-Lefert,et al.  Structure and functions of the bacterial microbiota of plants. , 2013, Annual review of plant biology.

[44]  Robert C. Edgar,et al.  Defining the core Arabidopsis thaliana root microbiome , 2012, Nature.

[45]  R. Amann,et al.  Revealing structure and assembly cues for Arabidopsis root-inhabiting bacterial microbiota , 2012, Nature.

[46]  Guangchuang Yu,et al.  clusterProfiler: an R package for comparing biological themes among gene clusters. , 2012, Omics : a journal of integrative biology.

[47]  Andrew E. Jaffe,et al.  Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments , 2022 .

[48]  A. Collmer,et al.  Construction of Pseudomonas syringae pv. tomato DC3000 mutant and polymutant strains. , 2011, Methods in molecular biology.

[49]  Minghui Gao,et al.  Control of salicylic acid synthesis and systemic acquired resistance by two members of a plant-specific family of transcription factors , 2010, Proceedings of the National Academy of Sciences.

[50]  Robert C. Edgar,et al.  Search and clustering orders of magnitude faster than BLAST , 2010, Bioinform..

[51]  William A. Walters,et al.  QIIME allows analysis of high-throughput community sequencing data , 2010, Nature Methods.

[52]  Brendan MacLean,et al.  Bioinformatics Applications Note Gene Expression Skyline: an Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments , 2022 .

[53]  Matthew D. Young,et al.  Gene ontology analysis for RNA-seq: accounting for selection bias , 2010, Genome Biology.

[54]  J. López-Bucio,et al.  Bacillus megaterium rhizobacteria promote growth and alter root-system architecture through an auxin- and ethylene-independent signaling mechanism in Arabidopsis thaliana. , 2007, Molecular plant-microbe interactions : MPMI.

[55]  P. Legendre,et al.  vegan : Community Ecology Package. R package version 1.8-5 , 2007 .

[56]  Jonathan D. G. Jones,et al.  The plant immune system , 2006, Nature.

[57]  Jonathan D. G. Jones,et al.  Bacterial disease resistance in Arabidopsis through flagellin perception , 2004, Nature.

[58]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[59]  M. Mann,et al.  Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. , 2003, Analytical chemistry.

[60]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[61]  E. M. Meyerowitz,et al.  Arabidopsis thaliana , 2022, CABI Compendium.