Prediction of resistance, virulence, and host-by-pathogen interactions using dual-genome prediction models.

ABSTRACT:

Key message

Integrating disease screening data and genomic data for host and pathogen populations into prediction models provides breeders and pathologists with a unified framework to develop disease resistance. Developing disease resistance in crops typically consists of exposing breeding populations to a virulent strain of the pathogen that is causing disease. While including a diverse set of pathogens in the experiments would be desirable for developing broad and durable disease resistance, it is logistically complex and uncommon, and limits our capacity to implement dual (host-by-pathogen)-genome prediction models. Data from an alternative disease screening system that challenges a diverse sweet corn population with a diverse set of pathogen isolates are provided to demonstrate

SUBMITTER: Hudson O 

PROVIDER: S-EPMC11303470 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature