Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance.

ABSTRACT: Characterizing the molecular mechanisms underlying disease symptom expression has been used to improve human health and disease resistance in crops and animal breeds. Quantitative trait loci and genome-wide association studies (GWAS) are widely used to identify genomic regions that are involved in disease progression. This study extends traditional GWAS significance tests of host and pathogen marker main effects by utilizing dual-genome reaction norm models to evaluate the importance of host-single nucleotide polymorphism (SNP) by pathogen-SNP interactions. Disease symptom severity data from Fusarium ear rot (FER) on maize (Zea mays L.) is used to demonstrate the use of both genomes in genomic selection models for breeding and the identification of loci that interact across organisms to im

SUBMITTER: Hudson O 

PROVIDER: S-EPMC11850958 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature