Clustering of secreted proteins and annotation of protein tribes based on known effector features and PST-specific criteria. A bioinformatic pipeline was implemented to identify groups of secreted proteins with characteristic effector features. The proteomes of the five PST isolates were combined (totaling 100357 proteins), 5502 secreted proteins predicted, and redundancy reduced. The consolidated PST secretome (2999 proteins) was combined with predicted secretomes from P. graminis f. sp. tritici (PGT) and Melampsora larcia populina (Mellp) and proteins grouped based on sequence similarity (Markov clustering). Tribes containing at least one PST member (1037 tribes) were annotated with known effector features or PST-specific criteria. Finally, tribes were ranked and heirarchical clustering implemented based on their content of proteins with known effector features. Programs are indicated in red. NLS, nuclear localization signal.
Cantu et al. BMC Genomics 2013 14:270 doi:10.1186/1471-2164-14-270