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ARS Home » Plains Area » Lubbock, Texas » Cropping Systems Research Laboratory » Plant Stress and Germplasm Development Research » Research » Publications at this Location » Publication #285755

Title: Gene expression profiling of drought stress responses in widely adapted wheat cutlivars TAM 111 and TAM 112

item KRISHNA REDDY, SRIRAMA - Texas A&M University
item LIU, SHUYU - Texas A&M University
item RUDD, JACKIE - Texas A&M University
item DEVKOTA, RAVINDRA - Texas A&M University
item XUE, QOMGWU - Texas A&M University
item Payton, Paxton
item Mahan, James
item AKHUNOVA, ALINA - Kansas State University

Submitted to: American Society of Plant Biologists
Publication Type: Abstract Only
Publication Acceptance Date: 7/7/2012
Publication Date: 7/7/2012
Citation: Krishna Reddy, S., Liu, S., Rudd, J., Devkota, R., Xue, Q., Payton, P.R., Mahan, J.R., Akhunova, A. 2012. Gene expression profiling of drought stress responses in widely adapted wheat cutlivars TAM 111 and TAM 112 [abstract]. American Society of Plant Biologists. p. 107.

Interpretive Summary:

Technical Abstract: Water deficit stress between the booting and grain filling stages significantly affect grain yield and quality of hard red winter wheat. Several stress tolerant cultivars with different adaptation mechanisms have been released and are widely cultivated on the Southern Great Plains of the US. However, the physiological, molecular, and genetic basis of adaptation to drought stress of these cultivars remains unknown. In the current study we used two well-adapted, drought-tolerant, high-yielding, cultivated varieties, TAM 111 and TAM 112, which appear to have different adaptation mechanisms, to identify drought stress induced transcripts during heading and grain filling (early dough) stages. A set of 24 Affymetrix GeneChip wheat genome arrays were used in the study (2 cultivars; 2 water treatments; 2 sampling stages; 3 biological replicates). RMA summarization algorithm was used to generate normalized expression values. Differentially expressed genes were identified using a one-way ANOVA (P<0.01) accompanied with Benjamini Hochberg approach to control false positives. Genes with >2 fold expression differences were used for joint analysis and other high-level analyses such as gene functional classification (MapMan), functional annotation and GO analysis (Blast2GO). The results suggest important roles for genes related to hormones (ABA, auxin, cytokinin, ethylene, brassinosteroid, and JA), lipids, amino acids, secondary metabolites, transcription factors, protein modification and degradation, cell wall modification, receptor kinases etc. Overall, the results are helping to understand the molecular basis of drought tolerance in widely adapted hard red winter wheat cultivars and identify potential candidate genes/molecular signals plausibly involved in adaptation to water deficit stress.