Masami Yokota Hirai

The paper investigates how molecular evolutionary rates in duckweeds correlate with acclimation strategies to high light, finding differences in mutation rates and metabolic adaptations between lineages.

This study shows that LBD transcription factors repress local and systemic nitrogen responses in Arabidopsis through distinct pathways, enhancing nitrate uptake and N-related gene expression in their absence.

The paper uses stable isotope-assisted mass spectrometry to identify root-specific alkaloids in Glycyrrhiza species and proposes their biosynthetic pathway.

The paper proposes a nonlinear two-step model integrating proxy intermediate omics traits to improve phenotypic prediction in soybean, showing better accuracy than linear models.

This study shows NPF4.6-mediated ABA transport affects stomatal responses to fluctuating light, increasing biomass but not drought tolerance.

I-SVVS improves clustering accuracy and reduces computation time for multi-omics microbiome data across soybean, mice, and human datasets.

The paper assesses airflow's impact on plant callus cultures using multiomics data from tobacco, rice, and bamboo species, revealing species-specific and within-species differences.

This study uses UAV remote sensing and deep learning to estimate soybean biomass traits and extract latent features for breeding applications.