Aashish Ranjan

This study improves rice yield by editing the CKX2 gene in the Samba Mahsuri variety, resulting in a 19% grain yield increase and early flowering in field trials.

This study identifies a cytokinin-auxin antagonistic module that integrates nitrogen signals to regulate tiller outgrowth in rice.

This study uses topological data analysis and deep learning to show that grapevine leaf blade and vasculature shapes are predictively linked, suggesting a one-to-one relationship between the two tissues.

This study identifies PIF4 as a regulator of H2O2 homeostasis that controls hypocotyl elongation in Arabidopsis seedlings under high temperature.

This study identifies regulatory sequence variations that rewired gene networks, leading to differences in leaf development and photosynthesis between wild and cultivated rice.

The paper introduces a new tomato population for high-resolution QTL mapping and gene identification, demonstrating its utility for fine-mapping and epistatic QTL analysis.

This study identifies 7,200 eQTL regulating transcript levels of 5,300 genes in tomato, revealing complex genetic architecture and associations with biological processes and phenotypes.

The paper identifies auxin signaling and cell wall expansion genes as key factors in natural variation of shade avoidance in tomato, linking them to growth plasticity and QTL effects on stem elongation and developmental rate.

This study shows that shade avoidance in tomato plants alters leaf shape through changes in gene expression related to indeterminacy, not through juvenile leaf type prolongation.