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GLOBAL EXPRESSION PROFILING AS A TOOL TO DEVELOP MOLECULAR MARKERS LINKED TO HERBICIDE STRESS IN ARABIDOPSIS
Citation:
DAS, M., A. R. SCHAEFFNER, M. T. MADER, J. R. REICHMAN, L. S. WATRUD, T. G. PFLEEGER, AND D. M. OLSZYK. GLOBAL EXPRESSION PROFILING AS A TOOL TO DEVELOP MOLECULAR MARKERS LINKED TO HERBICIDE STRESS IN ARABIDOPSIS. Presented at American Society of Plant Biologists, Chicago, IL, July 07 - 11, 2007.
Impact/Purpose:
Herbicide drift (unintentional physical movement from target to off-target plants) is a cause of crop loss in US. Low-dose, high-potency herbicides that have short environmental persistence times constrain efforts to develop or identify metabolite or biochemical markers of exposure that may be useful in environmental risk assessment. Using whole genome microarrays (Affymetrix, ATH1), we have characterized the transcriptional response of the model dicot Arabidopsis thaliana to five chemically unrelated herbicides- four inhibiting acetolactate synthase (ALS) and one inhibiting 5-enolpyruvylshikimate-3- phosphate synthase (EPSPS). Significant changes in transcript abundance due to ALS inhibition were mapped to different metabolic pathways to mine the potential physiological relevance. A set of 114 candidate markers was identified that generate diagnostic signatures specific to individual herbicide treatments. The resultant expression profile matrix was compared with other major abiotic, biotic and plant growth regulator stressors available at www.genevestigator.ethz.ch to identify distinct as well as correlated expression patterns. Further investigation is necessary to determine the utility of the candidate markers for drift assessment issues in related crops and non-crop species at risk.
Description:
Herbicide drift (unintentional physical movement from target to off-target plants) is a cause of crop loss in US. Low-dose, high-potency herbicides that have short environmental persistence times constrain efforts to develop or identify metabolite or biochemical markers of exposure that may be useful in environmental risk assessment. Using whole genome microarrays (Affymetrix, ATH1), we have characterized the transcriptional response of the model dicot Arabidopsis thaliana to five chemically unrelated herbicides- four inhibiting acetolactate synthase (ALS) and one inhibiting 5-enolpyruvylshikimate-3- phosphate synthase (EPSPS). Significant changes in transcript abundance due to ALS inhibition were mapped to different metabolic pathways to mine the potential physiological relevance. A set of 114 candidate markers was identified that generate diagnostic signatures specific to individual herbicide treatments. The resultant expression profile matrix was compared with other major abiotic, biotic and plant growth regulator stressors available at www.genevestigator.ethz.ch to identify distinct as well as correlated expression patterns. Further investigation is necessary to determine the utility of the candidate markers for drift assessment issues in related crops and non-crop species at risk.