Yasuhiro Sato

The paper examines how genomic variation in Arabidopsis thaliana affects interaction strength with aphids, finding epistasis among defense genes and an oligogenic architecture.

The paper develops a multi-kernel mixed model to analyze indirect genetic effects (IGEs) in plant genotypes, finding evidence of intergenotypic competition in aspen and apple trees.

The paper quantifies spatial disease variation in barley and links it to neighbor genotypes, finding significant genetic variants that reduce disease damage through allelic mixtures.

The paper identifies transcriptomic biomarkers to quantify SA and JA response states in Arabidopsis under field herbivory, revealing dynamic hormonal interactions shaped by herbivore abundance.

The paper identifies a genetic locus associated with negative frequency-dependent selection and overyielding in Arabidopsis thaliana through GWAS and genomic analysis.

This paper introduces Neighbor GWAS, a method that incorporates neighbor genotypic identity into GWAS to better capture spatial genetic effects, finding that neighbor effects explain 8% more phenotypic variation in field herbivory data.

This paper introduces Neighbor QTL, a method for mapping quantitative trait loci that account for neighbor effects in plants, and demonstrates its application to herbivory in Arabidopsis thaliana.