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Response of tomatoes primed by mycorrhizal colonization to virulent and avirulent bacterial pathogens.

ABSTRACT: Most plants interact with arbuscular mycorrhizal fungi, which enhance disease resistance in the host plant. Because the effects of resistance against bacterial pathogens are poorly understood, we investigated the effects of mycorrhizal colonization on virulent and avirulent pathogens using phytopathological and molecular biology techniques. Tomato plants colonized by Gigaspora margarita acquired resistance not only against the fungal pathogen, Botrytis cinerea, but also against a virulent bacterial pathogen, Pseudomonas syringae pv. tomato DC3000 (Pst). In G. margarita-colonized tomato, salicylic acid (SA)- and jasmonic acid (JA)-related defense genes were expressed more rapidly and strongly compared to those in the control plants when challenged by Pst, indicating that the plant immunity system was primed by mycorrhizal colonization. Gene expression analysis indicated that primed tomato plants responded to the avirulent pathogen, Pseudomonas syringae pv. oryzae, more rapidly and strongly compared to the control plant, where the effect on the JA-mediated signals was stronger than in the case with Pst. We found that the resistance induced by mycorrhizal colonization was effective against both fungal and bacterial pathogens including virulent and avirulent pathogens. Moreover, the activation of both SA- and JA-mediated signaling pathways can be enhanced in the primed plant by mycorrhizal colonization.

SUBMITTER: Fujita M

PROVIDER: S-EPMC8933586 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Response of tomatoes primed by mycorrhizal colonization to virulent and avirulent bacterial pathogens.

Fujita Moeka M Kusajima Miyuki M Fukagawa Masatomo M Okumura Yasuko Y Nakajima Masami M Akiyama Kohki K Asami Tadao T Yoneyama Koichi K Kato Hisaharu H Nakashita Hideo H

Scientific reports 20220318 1

Most plants interact with arbuscular mycorrhizal fungi, which enhance disease resistance in the host plant. Because the effects of resistance against bacterial pathogens are poorly understood, we investigated the effects of mycorrhizal colonization on virulent and avirulent pathogens using phytopathological and molecular biology techniques. Tomato plants colonized by Gigaspora margarita acquired resistance not only against the fungal pathogen, Botrytis cinerea, but also against a virulent bacter ...[more]

PMID: 35304874

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Project description:In the absence of adaptive immunity displayed by animals, plants respond locally to biotic challenge via inducible basal defense networks activated through recognition and response toconserved pathogen associated molecular patterns (PAMPs). In addition, immunity can be induced in tissues remote from infection sites via systemic acquired resistance (SAR), initiated following gene-for-gene recognition between plant resistance proteins and microbial effectors.The nature of the mobile signal and remotely activated networks responsible for establishing SAR remain unclear. Here we show that despite the absence of PAMP contact, systemically responding leaves rapidly activate a SAR transcriptional signature with strong similarity to local basal defense. Jasmonates have previously been implicated in systemic signalling in response to wounding and plant herbivory but not SAR. We present several lines of evidence that suggest jasmonates may also be central to SAR. Jasmonic acid (JA) rapidly accumulates in phloem exudates of leaves challenged with an avirulent strain of Pseudomonas syringae. In systemically responding leaves transcripts associated with jasmonate biosynthesis are upregulated and JA increases transiently. SAR can be mimicked by foliar JA application and is abrogated in mutants impaired in jasmonate synthesis or response. We conclude that, jasmonate signalling appears to mediate long-distance information transmission. Moreover, the systemic transcriptional response shares extraordinary overlap with local herbivory and wounding responses, indicating that jasmonates may be central to an evolutionarily conserved signalling network, which decodes multiple abiotic and biotic stress signals. Experimenter name: William Truman Experimenter phone: +44 (0)1392 263789 Experimenter fax: +44 (0)1392 263434 Experimenter address: School of Biosciences Experimenter address: Geoffrey Pope Building Experimenter address: Stocker Road Experimenter address: Exeter Experimenter address: Devon Experimenter zip/postal_code: EX4 4QD Experimenter country: UK Keywords: infection

Project description:BackgroundPrediction of bacterial virulent protein sequences has implications for identification and characterization of novel virulence-associated factors, finding novel drug/vaccine targets against proteins indispensable to pathogenicity, and understanding the complex virulence mechanism in pathogens.ResultsIn the present study we propose a bacterial virulent protein prediction method based on bi-layer cascade Support Vector Machine (SVM). The first layer SVM classifiers were trained and optimized with different individual protein sequence features like amino acid composition, dipeptide composition (occurrences of the possible pairs of ith and i+1th amino acid residues), higher order dipeptide composition (pairs of ith and i+2nd residues) and Position Specific Iterated BLAST (PSI-BLAST) generated Position Specific Scoring Matrices (PSSM). In addition, a similarity-search based module was also developed using a dataset of virulent and non-virulent proteins as BLAST database. A five-fold cross-validation technique was used for the evaluation of various prediction strategies in this study. The results from the first layer (SVM scores and PSI-BLAST result) were cascaded to the second layer SVM classifier to train and generate the final classifier. The cascade SVM classifier was able to accomplish an accuracy of 81.8%, covering 86% area in the Receiver Operator Characteristic (ROC) plot, better than that of either of the layer one SVM classifiers based on single or multiple sequence features.ConclusionVirulentPred is a SVM based method to predict bacterial virulent proteins sequences, which can be used to screen virulent proteins in proteomes. Together with experimentally verified virulent proteins, several putative, non annotated and hypothetical protein sequences have been predicted to be high scoring virulent proteins by the prediction method. VirulentPred is available as a freely accessible World Wide Web server - VirulentPred, at http://bioinfo.icgeb.res.in/virulent/.

Dataset Information

Response of tomatoes primed by mycorrhizal colonization to virulent and avirulent bacterial pathogens.

Publications

Response of tomatoes primed by mycorrhizal colonization to virulent and avirulent bacterial pathogens.

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