A bioinformatic tool for analysis of EST transcript abundance during infection-related development by Magnaporthe grisea.

SUMMARY Information regarding the levels of mRNA transcript abundance under different conditions, or in specific tissue types, can be obtained by analysis of the frequency of EST sequences in randomly sequenced cDNA libraries. Here we report a bioinformatics tool, which provides a means of identifying genes that are differentially expressed during pathogenesis-related development by the rice blast fungus Magnaporthe grisea. A total of 31 534 M. grisea ESTs were obtained from dbEST at NCBI, clustered into 8821 unique sequences (unisequences) and manually annotated. Transcript profiles were then calculated for 958 unigenes identified from eight different cDNA libraries. The data were integrated into the Consortium for Functional Genomics of Microbial Eukaryotes (COGEME) database (http://cogeme.ex.ac.uk/) and a web-based front end was designed to allow users to access and interrogate the generated datasets.