Large-scale transcriptome analysis reveals arabidopsis metabolic pathways are frequently influenced by different pathogens

Large-scale transcriptome analysis reveals arabidopsis metabolic pathways are frequently... Plant Mol Biol (2017) 94:453–467 DOI 10.1007/s11103-017-0617-5 Large-scale transcriptome analysis reveals arabidopsis metabolic pathways are frequently influenced by different pathogens 1 1,2 1 Zhenhong Jiang  · Fei He  · Ziding Zhang   Received: 7 December 2016 / Accepted: 3 May 2017 / Published online: 24 May 2017 © Springer Science+Business Media Dordrecht 2017 Abstract pathways (FreDE_Paths) that are differentially expressed Key message Through large-scale transcriptional data in more than 60% of infected samples. These pathways are analyses, we highlighted the importance of plant metab- involved in the generation of energy, fatty acid and lipid olism in plant immunity and identified 26 metabolic metabolism as well as secondary metabolite biosynthesis. pathways that were frequently influenced by the infec- Clustering analysis based on the expression levels of these tion of 14 different pathogens. 26 metabolic pathways clearly distinguishes infected and Abstract Reprogramming of plant metabolism is a com- control samples, further suggesting the importance of these mon phenomenon in plant defense responses. Currently, a metabolic pathways in plant defense responses. By com- large number of transcriptional profiles of infected tissues paring with FreDE_Paths from abiotic stresses, we find in Arabidopsis (Arabidopsis thaliana) have been deposited that the expression patterns of 26 FreDE_Paths from biotic in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Plant Molecular Biology Springer Journals

Large-scale transcriptome analysis reveals arabidopsis metabolic pathways are frequently influenced by different pathogens

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Publisher
Springer Netherlands
Copyright
Copyright © 2017 by Springer Science+Business Media Dordrecht
Subject
Life Sciences; Plant Sciences; Biochemistry, general; Plant Pathology
ISSN
0167-4412
eISSN
1573-5028
D.O.I.
10.1007/s11103-017-0617-5
Publisher site
See Article on Publisher Site

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