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Assessment of pleiotropic transcriptome perturbations in Arabidopsis engineered for indirect insect defence.

ABSTRACT: BACKGROUND: Molecular characterization is an essential step of risk/safety assessment of genetically modified (GM) crops. Holistic approaches for molecular characterization using omics platforms can be used to confirm the intended impact of the genetic engineering, but can also reveal the unintended changes at the omics level as a first assessment of potential risks. The potential of omics platforms for risk assessment of GM crops has rarely been used for this purpose because of the lack of a consensus reference and statistical methods to judge the significance or importance of the pleiotropic changes in GM plants. Here we propose a meta data analysis approach to the analysis of GM plants, by measuring the transcriptome distance to untransformed wild-types. RESULTS: In the statistical analysis of the transcriptome distance between GM and wild-type plants, values are compared with naturally occurring transcriptome distances in non-GM counterparts obtained from a database. Using this approach we show that the pleiotropic effect of genes involved in indirect insect defence traits is substantially equivalent to the variation in gene expression occurring naturally in Arabidopsis. CONCLUSION: Transcriptome distance is a useful screening method to obtain insight in the pleiotropic effects of genetic modification.

SUBMITTER: Houshyani B

PROVIDER: S-EPMC4091741 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Assessment of pleiotropic transcriptome perturbations in Arabidopsis engineered for indirect insect defence.

Houshyani Benyamin B van der Krol Alexander R AR Bino Raoul J RJ Bouwmeester Harro J HJ

BMC plant biology 20140619

<h4>Background</h4>Molecular characterization is an essential step of risk/safety assessment of genetically modified (GM) crops. Holistic approaches for molecular characterization using omics platforms can be used to confirm the intended impact of the genetic engineering, but can also reveal the unintended changes at the omics level as a first assessment of potential risks. The potential of omics platforms for risk assessment of GM crops has rarely been used for this purpose because of the lack ...[more]

PMID: 24947327

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Project description:Plant defenses against pathogens and insects are regulated differentially by cross-communicating signaling pathways in which salicylic acid (SA), jasmonic acid (JA) and ethylene (ET) play key roles. To understand how plants integrate pathogen- and insect-induced signals into specific defense responses, we monitored the dynamics of SA, JA, and ET signaling in Arabidopsis after attack by a set of microbial pathogens and herbivorous insects with different modes of attack. Arabidopsis plants were exposed to a pathogenic leaf bacterium (Pseudomonas syringae pv. tomato), a pathogenic leaf fungus (Alternaria brassicicola), tissue-chewing caterpillars (Pieris rapae), cell-content-feeding thrips (Frankliniella occidentalis), or phloem-feeding aphids (Myzus persicae). Monitoring the signal signature in each plant-attacker combination showed that the kinetics of SA, JA, and ET production varies greatly in both quantity and timing. Analysis of global gene expression profiles demonstrated that the signal signature characteristic of each Arabidopsis-attacker combination is orchestrated into a surprisingly complex set of transcriptional alterations in which, in all cases, stress-related genes are overrepresented. Comparison of the transcript profiles revealed that consistent changes induced by pathogens and insects with very different modes of attack can show considerable overlap. Of all consistent changes induced by A. brassicicola, P. rapae, and F. occidentalis, more than 50% were also induced consistently by P. syringae. Notably, although these four attackers all stimulated JA biosynthesis, the majority of the changes in JA-responsive gene expression were attacker-specific. All together our study shows that SA, JA, and ET play a primary role in the orchestration of the plant's defense response, but other regulatory mechanisms, such as pathway cross-talk or additional attacker-induced signals, eventually shape the highly complex attacker-specific defense response. In the experimental set up we intended to select for genes that showed a more than 2-fold change in the same direction(up or down)at two time points after pathogen or insect attack. The results are described in the following paper: De Vos, M., Van Oosten, V.R., Van Poecke, R.M.P., Van Pelt, J.A., Pozo, M.J., Mueller, M.J., Buchala, A.J., Metraux, J.-P., Van Loon, L.C., Dicke, M. and Pieterse, C.M.J. (2005). Signal signature and transcriptome changes in Arabidopsis upon pathogen and insect attack. Molecular Plant-Microbe Interactions. Experimenter name = Corne Pieterse Experimenter phone = +31 30 253 3013 Experimenter fax = +31 30 251 8366 Experimenter department = Section Phytopathology Experimenter institute = Utrecht University Experimenter address = Department of Biology Experimenter address = Utrecht University Experimenter address = Sorbonnelaan 16 Experimenter address = Utrecht Experimenter zip/postal_code = 3584CA Experimenter country = The Netherlands Keywords: time_series_design; pathogenicity_design

Dataset Information

Assessment of pleiotropic transcriptome perturbations in Arabidopsis engineered for indirect insect defence.

Publications

Assessment of pleiotropic transcriptome perturbations in Arabidopsis engineered for indirect insect defence.

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