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ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #171842
Title: GENE DIFFERENTIAL EXPRESSION OF CORN LINES AT THE LATE DEVELOPMENT STAGE UNDER DROUGHT STRESS AND ASPERGILLUS FLAVUS INFECTION

Author
item LUO, M - UNIVERSITY OF GEORGIA
item LEE, R - UNIVERSITY OF GEORGIA
item Guo, Baozhu

Submitted to: Multicrop Aflatoxin and Fumonisin Elimination and Fungal Genomics Workshop-The Peanut Foundation
Publication Type: Abstract Only
Publication Acceptance Date: 9/10/2004
Publication Date: 10/1/2004
Citation: Genes differential expression of corn lines at the late development stage under drought stress and Aspergillus flavus infection [abstract]. 2004. In: 2004 Fungal Genomics and Aflatoxin/Fumonisin Elimination Workshop, October 25-28, 2004, Sacramento, CA.

Interpretive Summary:

Technical Abstract: We have been using maize microarray chips-Master Unigene from Maize Gene Discovery Project, which has over 20,000 unique ESTs (expressed sequence tags), to analyze gene expression profiles and to identify the genes associated with the stress responses. Research experiments have been conducted in the field rain-out shelters with 3 corn genotypes, GT-A1-1, GT-A638, and B73. Treatments include regular water, water stress after pollination, salicilic acid (SA) spray, and inoculation with Aspergillus flavus 20 DAP. The water contents in leaves and soil have been measured since 15 DAP every two days. The seeds have been harvested for laboratory bio-assay. Samples of developing ears have been harvested for gene expression profiling analysis at 20, 25, and 30 DAP. The results presented here are gene expression profiles of only GT-A1-1 samples from drought stress, A. flavus challenge under well water or stressed, and SA spray under well water or stressed condition at 20, 25, and 30 DAP. The water content in the drought-stressed soil was below 60% of the well-watered soil at 24 DAP. The responses to different challenges have been shown on the gene expression profiles as indication of the up- or down-expression of genes. The expression profiles will be compared among the 3 genotypes, and individual gene function will be verified by real-time PCR.