Li-juan Qiu

This study applies transcriptome-wide association study (TWAS) to soybean to identify trait-associated genes, finding novel genes and causal variations related to flowering time.

This study analyzes genome sequences of 2,214 soybeans to trace its evolutionary history, identifying four geographic expansion paths and local adaptation mechanisms.

SoyFGB v2.0 provides a platform for genome variation and phenotype data mining from Chinese soybean germplasm while enabling controlled data sharing.