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ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #178810
Title: IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES IN PEANUT IN RESPONSE TO ASPERGILLUS PARASITICUS INFECTION AND DROUGHT STRESS

Author
item LUO, M - UNIVERSITY OF GEORGIA
item LEE, DEWEY - UNIVERSITY OF GEORGIA
item LIANG, X - GUANGDONG ACADEMY/CHINA
item Guo, Baozhu

Submitted to: American Peanut Research and Education Society Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 7/10/2005
Publication Date: 2/1/2006
Citation: Guo, B., Liang, X.Q., Lee, D., Luo, M. 2006. Identification of differentially expressed genes in peanut in response to Aspergillus parasiticus infection and drought stress [abstract]. In: Proceedings of the American Peanut Research and Education Society, July 11-15, 2005, Portsmouth, Virginia. 37:88.

Interpretive Summary:

Technical Abstract: Aflatoxin contamination caused by Aspergillus fungi is a food safety problem worldwide. A. parasiticus infection and aflatoxin contamination are severe in peanuts under drought stressed. Drought tolerant peanut lines have less aflatoxin contamination. The objective of this study was to identify resistance genes in response to A. parasiticus infection under drought stress using miccroarray and real-time PCR. To identify transcripts involved in the resistance, we studied the gene expression profiles in peanut genotype A13 which is drought tolerant and resistant to preharvest aflatoxin contamination, using cDNA microarray containing 384 unigenes selected from two EST (expressed sequenced tag) cDNA libraries challenged by abiotic and biotic stresses. A total of 83 up-regulated spots (Log2 ratio>1) representing 42 genes in several functional categories were detected under both A. parasiticus infection and drought stress. A total of 104 up-regulated spots representing 52 genes were detected in response to drought stress alone. There were forty-nine up-regulated spots (25 genes) commonly expressed in both treatments. The top 20 genes were selected for validation of their expression levels using real-time PCR. A13 was also used to study the functional analysis of these genes and a possible link of these genes to the resistance trait. Microarray technology and real-time PCR were used for comparison of gene expression. The selected genes identified by microarray analysis were validated by real-time PCR. Further investigations are needed to characterize each of these genes. Gene probes could then be developed for application in breeding selection.