Transcriptional profiling of potential regulatory factors modulating defense mechanisms in soybean during Phytophthora sojae infection

• Main Author: Waller, LaChelle Monique
• Other Authors: Genetics, Bioinformatics and Computational Biology
• Format: Others
• Published: Virginia Tech 2014
• Subjects: Transcriptional Profiling; Quantitative Resistance; Regulatory Factors
• Online Access: http://hdl.handle.net/10919/27541; http://scholar.lib.vt.edu/theses/available/etd-05042010-145729/

Quantitative resistance is controlled by multiple genes and has been shown to be a durable form of resistance to pathogens affecting cultivated crops including soybeans (Glycine max L. Merr). Root rot of soybean caused by Phytophthora sojae ranks among the most damaging soybean diseases. Quantitative resistance has proven durable in soybean against P. sojae, however the molecular mechanisms underlying this form of resistance are still unknown. The objective of this project is to gain insight into molecular basis of quantitative resistance in the soybean-P. sojae pathosystem. The approach was to use global transcriptional profiling based on microarray technology to identify genes that were differentially expressed in four cultivars of soybeans with varying levels of quantitative resistance at different time points during infection by P. sojae. Our results provide a better understanding of the potential regulatory factors that may contribute to quantitative resistance during early hours of P. sojae infection. === Ph. D.