January 15-19, 2005
Town & Country Convention Center
San Diego, CA
Hirut Kebede1 , Paxton Payton3 , JR Quilantan2 , Jing Wang2 , Natalya Klueva2 , Randy Allen2 , Andrew Paterson 4 , Robert Wright1
Improved drought tolerance of crop plants is vital to the sustainability of agriculture. Merging gene expression data, genetic mapping information, and physiological data is a significant step towards understanding the genetics controlling the physiological responses that affect production and quality under adverse conditions. The principal aim of this collaborative project was to discover drought-stress response genes in cotton. We have identified a collection of putative drought-stress responsive candidate genes by in silico screening of 3593 ESTs, generated from drought-stressed and irrigated cotton boll libraries. A subset of these candidate stress response genes were evaluated for genome specificity and mapped onto the cotton genetic map. Several candidate genes co-localized with phenotypes (QTLs) known to be responsible for variation in drought-stress response. This study combines the use of genome-wide approach to identify and isolate key candidate genes to specific regions of the genome, with the full benefits of a rich history of phenotypic data accumulated in several studies.