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ARS Home » Midwest Area » Ames, Iowa » Corn Insects and Crop Genetics Research » Research » Publications at this Location » Publication #411556
Research Project: Regulatory Networks in Cereal Host-Fungal Pathogen Interactions

Location: Corn Insects and Crop Genetics Research

Title: Network hubs in pathogen-host interactions: Targets for next-generation breeding

Author
item VELASQUEZ-ZAPATA, VALERIA - Iowa State University
item Elmore, James - Mitch
item PATEL, SHIVANSH - Iowa State University
item SMITH, SCHUYLER - Iowa State University
item Fuerst, Gregory
item Wise, Roger

Submitted to: Barley Improvement Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 12/3/2023
Publication Date: 1/10/2024
Citation: Velasquez-Zapata, V., Elmore, J.M., Patel, S., Smith, S., Fuerst, G.S., Wise, R.P. 2024. Network hubs in pathogen-host interactions: Targets for next-generation breeding. Barley Improvement Conference Proceedings, January 10-11, 2024, San Diego, California.

Interpretive Summary:

Technical Abstract: Disease phenotypes are the product of dynamic changes in gene and protein interactions. To establish a regulatory network view of protein-protein interactions critical to pathogen infection and disease resistance in cereal grains, we are constructing protein networks of barley (Hordeum vulgare L.) in response to powdery mildew, caused by the ascomycete fungus, Blumeria hordei (Bh). The barley MLA nucleotide binding, leucine-rich repeat (NLR) receptor was used as a model regulator to interrogate cereal immune response, as it’s alleles and orthologs confer recognition specificity to several diseases, including powdery mildew, stem rust, stripe rust and rice blast. Forty-six representative Bh effector proteins, including AVRA1, AVRA7, AVRA9, and AVRA13, were selected from time-course RNA-sequencing on wild-type progenitor and immune mutant hosts, and used as baits in yeast-two hybrid next-generation interaction screens (Y2H-NGIS), followed by quantitation and ranking with NGPINT and Y2H-SCORES software, and subsequent binary confirmation. Results were integrated with the HvInt barley interactome, enabling assembly of a high-confidence host-pathogen network of 1085 proteins and 1497 interactions to infer activation of disease resistance for next-generation breeding. Supported by Fulbright Colombia & Schlumberger Faculty for the Future Fellowship to VVZ, USDA-NIFA-ELI Postdoc Fellowship 2017-67012-26086 to JME, and USDA-NIFA-PBI 2020-67013-31184 & USDA-ARS 5030-21220-068-000-D to RPW.