Metabolomic and transcriptomic analysis of the rice response to the bacterial blight pathogen Xanthomonas oryzae pv. oryzae

Sana, Theodore R.; Fischer, Steve; Wohlgemuth, Gert; Katrekar, Anjali; Jung, Ki-hong; Ronald, Pam C.; Fiehn, Oliver

doi:10.1007/s11306-010-0218-7

Title: Metabolomic and transcriptomic analysis of the rice response to the bacterial blight pathogen Xanthomonas oryzae pv. oryzae

Journal Article · Thu May 27 00:00:00 EDT 2010 · Metabolomics

DOI:https://doi.org/10.1007/s11306-010-0218-7· OSTI ID:1816418

Sana, Theodore R. ^[1]; Fischer, Steve ^[2]; Wohlgemuth, Gert ^[3]; Katrekar, Anjali ^[2]; Jung, Ki-hong ^[4]; Ronald, Pam C. ^[4]; Fiehn, Oliver ^[3]

Agilent Technologies Life Sciences Group, Santa Clara, CA (United States). Metabolomics Lab.
Agilent Technologies Life Sciences Group, Santa Clara, CA (United States). Metabolomics Lab.
Univ. of California, Davis, CA (United States). Genome Center
Univ. of California, Davis, CA (United States). Dept. of Plant Pathology

Bacterial leaf blight (BLB), caused by Xanthomonas oryzae pv. oryzae (Xoo), gives rise to devastating crop losses in rice. Disease resistant rice cultivars are the most economical way to combat the disease. The TP309 cultivar is susceptible to infection by Xoo strain PXO99. A transgenic variety, TP309_Xa21, expresses the pattern recognition receptor Xa21, and is resistant. PXO994raxST, a strain lacking the raxST gene, is able to overcome Xa21-mediated immunity. We used a single extraction solvent to demonstrate comprehensive metabolomics and transcriptomics profiling under sample limited conditions, and analyze the molecular responses of two rice lines challenged with either PXO99 or PXO994raxST. LC–TOF raw data file filtering resulted in better within group reproducibility of replicate samples for statistical analyses. Accurate mass match compound identification with molecular formula generation (MFG) ranking of 355 masses was achieved with the METLIN database. GC–TOF analysis yielded an additional 441 compounds after BinBase database processing, of which 154 were structurally identified by retention index/MS library matching. Multivariate statistics revealed that the susceptible and resistant genotypes possess distinct profiles. Although few mRNA and metabolite differences were detected in PXO99 challenged TP309 compared to mock, many differential changes occurred in the Xa21-mediated response to PXO99 and PXO994raxST. Acetophenone, xanthophylls, fatty acids, alkaloids, glutathione, carbohydrate and lipid biosynthetic pathways were affected. Significant transcriptional induction of several pathogenesis related genes in Xa21 challenged strains, as well as differential changes to GAD, PAL, ICL1 and Glutathione-S-transferase transcripts indicated limited correlation with metabolite changes under single time point global profiling conditions.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC); National Science Foundation (NSF); National Institutes of Health (NIH)

Grant/Contract Number:: AC02-05CH11231; MCB-0820823; GM55962

OSTI ID:: 1816418

Journal Information:: Metabolomics, Vol. 6, Issue 3; ISSN 1573-3882

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
Metabolomics
LC/MS
GC/MS
Microarray
Rice
Bacterial leaf blight
Pathogen
Pattern recognition receptor
Pathogen associated molecular pattern

Title: Metabolomic and transcriptomic analysis of the rice response to the bacterial blight pathogen Xanthomonas oryzae pv. oryzae

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