Developing bioinformatic resources for coronaviruses.
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Biomedical subjects
Publications and source records attributed to Oswald R Crasta.
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The recent rapid developments in genomics tools, technologies, and bioinformatics have revolutionized gene expression analysis. It is now routine to measure gene expression modulation at the genomic level. GeneCalling technology is an open architecture system capable of assaying more than 95% of genes expressed in a tissue. Unlike the closed systems, GeneCalling is not dependent upon an existing sequence or clone database. GeneCalling uses as low as 50 pg of the cDNA from samples and identifies cDNA fragments that are differentially modulated within a set of samples. With the use of 96 pairs of restriction enzymes, more than 30,000 cDNA fragments are routinely assayed to identify those that are differentially modulated. Specific processes, such as SeqCalling, Trace Poisoning, and GeneCall Poisoning, are set up to not only confirm the known genes, but also to clone and analyze unknown and novel genes that have an interesting expression profile. GeneCalling has been successfully applied to expression profiling of several plant and fungal species, and resulted in identification and characterization of genes that are useful in commercial applications towards improving agriculturally important traits in plants.
The disease resistance gene Pto encodes a serine/threonine protein kinase that confers resistance in tomato to Pseudomonas syringae pv. tomato strains that express the effector protein AvrPto. Pto-mediated resistance to bacterial speck disease also requires Prf, a protein with leucine-rich repeats and a putative nucleotide-binding site, although the role of Prf in the defense pathway is not known. We used GeneCalling, an open-architecture, mRNA-profiling technology, to identify genes that are either induced or suppressed in leaves 4 h after bacterial infection in the Pto- and Prf-mediated tomato-Pseudomonas(avrPto) interaction. Over 135 000 individual cDNA fragments representing an estimated 90% of the transcripts expressed in tomato leaves were examined and 432 differentially expressed genes were identified. The genes encode over 25 classes of proteins including 11 types of transcription factors and many signal transduction components. Differential expression of 91% of the genes required both Pto and Prf. Interestingly, differential expression of 32 genes did not require Pto but was dependent on Prf. Thus, our data support a role for Prf early in the Pto pathway and indicate that Prf can also function as an independent host recognition determinant of bacterial infection. Comprehensive expression profiling of the Pto-mediated defense response allows the development of many new hypotheses about the molecular basis of resistance to bacterial speck disease.