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Title of Journal: Plant Mol Biol

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Abbravation: Plant Molecular Biology

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Springer Netherlands

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DOI

10.1007/s10450-009-9163-z

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ISSN

1573-5028

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Transcriptome analysis of a bacterially induced ba

Authors: Zoltán Bozsó Nicolas Maunoury Agnes Szatmari Peter Mergaert Péter G Ott László R Zsíros Erika Szabó Éva Kondorosi Zoltán Klement
Publish Date: 2009/05/24
Volume: 70, Issue: 6, Pages: 627-646
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Abstract

Research using the wellstudied model legume Medicago truncatula has largely focused on rhizobium symbiosis while little information is currently available for this species on pathogeninduced transcriptome changes We have performed a transcriptome analysis of this species with the objective of studying the basal BR no visible symptoms and hypersensitive response HR plant cell death in its leaves at 6 and at 24 h after infection by HRnegative hrcC mutant and HRinducing Pseudomonas syringae pv syringae strains respectively Although there were no visible symptoms at the BR the alterations in gene expression were comparable to those found with the HR Both responses resulted in the transcriptional alteration of hundreds of plant genes however the responses in the HR were usually more intense The reactions to HRinducing and HRnegative bacterial strains were significantly overlapping Parallel up or downregulation of genes with the same function occurred frequently However some plant processes were regulated in one direction for example most of the protein synthesisrelated genes were activated and all of the photosynthetic/chloroplast genes were suppressed during BR The possible roles of several functional classes eg cell rescue signaling defense cell death etc of transcriptionally altered genes are discussed The results of the comparison with available mycorrhizal and nodule expression data show that there is a significant overlap between nodulation and the leaf defense response and that during the early stage of the nodulation in roots Sinorhizobium meliloti induces a fluctuation in the transcription of BR and HRresponsive genes

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