The contributors
Daniel Bunting (Nuffield student), Kentaro Yoshida and Diane Saunders at TSL.
The material
We used the potential C. fraxinea KW1 effector candidates identified in (https://oadb.tsl.ac.uk/?m=20130910).
The analysis
To select proteins with high likelihood as candidate effectors we focused on tribes that ranked highly in our scoring system. We used hierarchical clustering of the top 100 ranked C. fraxinea effector candidate tribes to group them further based on shared features.
Figure 1. The top 100 ranked protein tribes containing putative effectors. A. Combined score used to rank tribes based on their content of effector features. B. Score for number of members classified as secreted. C. Score for number of members identified as expressed during infection. D. Score for number of members with similarity to known fungal AVRs. E. Score for number of members with effector motifs or nuclear localisation signals (NLS). F. Score for number of members classified as repeat containing. G. Score for number of members classified as small and cysteine rich. H. Score for number of members encoded by genes with at least one flanking intergenic region > 10Kb. I. Score for number of members not annotated by PFAM domain searches. Red star indicates tribe that contains potential Nep1-like protein (https://oadb.tsl.ac.uk/?p=235).
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