In silico approach to predict candidate R proteins and to define their domain architecture

摘要: Plant resistance genes, which encode R-proteins, constitute one of the most important and widely investigated gene families. Thanks to use both genetic molecular approaches, more than 100 R genes have been cloned so far. Analysis proteins investigation domain properties may afford insights into their role function. Moreover, genomic experiments availability high-throughput sequence data are very useful for discovering new establish hypotheses about R-genes architecture. We surveyed PRGdb dataset provide valuable information hidden R-protein features. Through an in silico approach 4409 putative R-proteins belonging 33 plant organisms were analysed associations frequency. The showed common as well previously unknown classes. Interestingly, number falling each class was found inversely related arrangement complexity. Out 31 possible theoretical combinations, only 22 found. Proteins retrieved filtered highlight, through visualization a Venn diagram, candidate classes able exert Detailed analyses performed on conserved profiles those strong revealed interesting Finally, several atypical identified. effort made this study allowed us R-domains issue from different point view, sorting vast diversity proteins. Overall, many protein features In addition, meaning domains modelling provided.