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ARS Home » Southeast Area » Canal Point, Florida » Sugarcane Field Station » Research » Publications at this Location » Publication #375329
Research Project: Identification of Resistant Germplasm and Markers Associated with Resistance to Major Diseases of Sugarcane

Location: Sugarcane Field Station

Title: Functional annotation of the predicted proteome of the sugarcane rust fungal pathogen Puccinia kuehni

Author
item CARDENAS, D - University Of Florida
item CHEEMA, J. - John Innes Center
item OPPELAAR, T - University Of Florida
item HINCAPIE, M. - University Of Florida
item Sood, Sushma
item HUGUET-TAPIA, J - University Of Florida
item SAUNDERS, D.G - University Of Florida
item COMSTOCK, JACK - Retired Non ARS Employee
item CANO, L - University Of Florida
item ROTT, PHILLIPE - Cirad, France

Submitted to: American Society of Sugar Cane Technologists
Publication Type: Abstract Only
Publication Acceptance Date: 4/22/2020
Publication Date: 6/16/2020
Citation: Cardenas, D.E., Cheema, J., Oppelaar, T.S., Hincapie, M., Sood, S.G., Huguet-Tapia, J., Saunders, D.O., Comstock, J.C., Cano, L.M., Rott, P.C. 2020. Functional annotation of the predicted proteome of the sugarcane rust fungal pathogen Puccinia kuehni. American Society of Sugar Cane Technologists. 83(1):24.

Interpretive Summary: N/A

Technical Abstract: Puccinia kuehnii, the causal agent of orange rust, is a major fungal pathogen of the sugarcane crop. Draft genome assemblies were generated for two isolates of P. kuehnii (1040 and 2143) from Florida. Our aim was to generate functional annotations of the predicted proteome of P. kuehnii and to provide insights into the potential biological roles of protein families produced by P. kuehnii. OrthoDB was used to identify protein families that are either specific to P. kuehnii or conserved among other Pucciniomycotina species. Domain annotations were performed with Interproscan and Pfamscan. Our study provides a useful database to investigate sugarcane-rust fungi interactions and to develop novel methods for sequence-based pathogen detection.