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ARS Home » Midwest Area » Columbus, Ohio » Soil Drainage Research » Research » Publications at this Location » Publication #155237
Title: INTEGRATED GENOMIC AND METABOLIC ANALYSES OF LOW-OXYGEN STRESS RESPONSE IN FLOODING-TOLERANT SAG12:IPT ARABIDOPSIS

Author
item LIU, FENGLONG - TIGR
item Vantoai, Tara
item KLAPA, MARIA - UNIV. OF MARYLAND
item MOY, LINDA - TIGR
item LINFORD, LARA - TIGR
item QUACKENBUSH, JOHN - TIGR

Submitted to: Plant and Animal Genome VX Conference Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 10/3/2003
Publication Date: 1/10/2004
Citation: Liu, F., Vantoai, T.T., Klapa, M., Moy, L., Linford, L., Quackenbush, J. 2004. Integrated genomic and metabolic analyses of low-oxygen stress response in flooding-tolerant sag12:ipt arabidopsis. Plant and Animal Genome Abstracts. p. 801.

Interpretive Summary:

Technical Abstract: Plants have evolved adaptation mechanisms to sense changes in their environment and make adjustments in gene expression and metabolism to enhance their stress tolerance. To gain insight into how plants respond to conditions of low oxygen, we examined both wild-type and flooding-tolerant transgenic plants with autoregulated cytokinin synthesis, comparing gene expression and cellular metabolite levels at 9 time points over 24 hours in plants grown in 20% oxygen (equivalent to ambient air) as well as those kept at 3% oxygen. Gene expression data were collected using whole-genome DNA amplicon microarrays representing the more than 27,000 predicted nuclear, chloroplast, and mitochondrial genes; gas chromatography - mass spectrometry (GC-MS) was used to obtain profiles on hundreds of metabolites including sugars, sugar alcohols, amino acids, and organic acids. Analysis of expression data revealed statistically significant temporal patterns of gene expression. Correlation of these transcript and metabolic profile data is providing insight into stress responses at both genomic and metabolic levels, and will potentially enable inferences into enzyme activities and dynamic metabolite fluxes along related pathways. The preliminary results of transcriptome differences between wild type and transgenic plants as well as genes differently expressed in response to low oxygen treatment will be presented.