Guangchao Sun

The paper identifies genetic variants at transcription factor binding sites that explain a large portion of phenotypic heritability in maize under different water conditions.

This study uses long-read sequencing to re-evaluate the pathogenicity of intragenic DMD duplications, finding that many are non-tandem and likely benign.

The paper uses image analysis models to quantify seed color in sorghum, finding they outperform human assessment and identify more genomic signals linked to seed color genes.

This study uses data-driven methods to analyze hyperspectral leaf reflectance data from maize plants, identifying genetic markers correlated with reflectance patterns and chlorophyll content.

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.

This study shows that expression of a limited number of genes can predict flowering time in maize more accurately than genome-wide SNPs.

This study compares the genomes of five Valsa species to understand their pathogenicity evolution and drug resistance mechanisms.

This study investigates how heritable transcriptomic variation contributes to maize adaptation to temperate environments through eQTLs, sQTLs, and gene expression patterns.