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United States Department of Agriculture

Agricultural Research Service

Research Project: Discovery of Drought Stress and Fusarium Wilt Resistance Biomarker-Genes for Assisting Breeding

Location: Plant Stress and Germplasm Development Research

Project Number: 3096-21000-019-07-R
Project Type: Reimbursable Cooperative Agreement

Start Date: Jan 1, 2013
End Date: Dec 31, 2013

To discover biomarker-genes associated with physiological and morphological traits that improve drought stress tolerance and Fusarium wilt resistance, and to validate biomarker associations with stress resistance traits.

Recent advances in genomics have provided considerable information regarding the discovery and expression of genes controlling important crop traits. Despite the significant data on gene expression responses, there is still limited information on biomarker-associations with physiological and morphological traits related to drought tolerance and disease resistance. In this research project, we are proposing to discover molecular markers or biomarker-genes associated with drought stress and Fusarium wilt (FOV race 4) resistance and to validate biomarker associations on diverse cotton populations with different genetic backgrounds. Using conventional and next-generation sequencing (NGS) technologies, we will generate DNA sequences from genes expressed in known FOV-resistant and -susceptible cotton genotypes. We will utilize the most recently assembled cotton genome data to identify single nucleotide polymorphisms (SNP) in the resistant and susceptible genotypes. Evaluation phenotypic-data on developed mapping populations will be used in biomarker-association analyses to validate biomarkers associated with disease and stress resistance traits. Data generated by these molecular systems will then be analyzed using SAS, genetic and QTL, and association mapping programs. We will employ these SNP-biomarkers for marker assisted selection (MAS) studies. These biomarkers will have the potential to increase the efficiency of breeding by facilitating MAS resulting in significant decreases in cost, time, and the risk associated with subjective phenotypic assays.

Last Modified: 10/16/2017
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