Ayan Sadhukhan

This study compares agroforestry and monocropping systems for castor crops, finding improved oil quality and soil bacterial communities in agroforestry.

This study identifies genetic variants and genes associated with alkalinity tolerance in Arabidopsis thaliana using GWAS and transcriptomics, revealing pathways and candidate genes for crop improvement.

This study identifies upstream regulators of drought memory genes in Arabidopsis thaliana using eGWAS and methylome profiling, revealing genetic-epigenetic mechanisms involved in transcriptional memory.

This study identifies 68 genes associated with drought tolerance in Arabidopsis thaliana seedlings using GWAS and validates their roles through reverse genetics.

This study identifies Priestia megaterium SI1-IITJ as a desert endophyte that reduces fluoride content in plants and modulates gene expression to improve fluoride stress tolerance in Arabidopsis thaliana.

This study compares nano urea and bulk urea effects on Arabidopsis, finding nano urea increases biomass, chlorophyll, and nitrogen through differential gene regulation.

This study shows that nano urea enhances biomass and chlorophyll content in Arabidopsis thaliana hydroponics compared to bulk urea, with differential gene expression patterns.

This study identifies AP2/ERF transcription factors as key to drought tolerance in Prosopis cineraria, showing higher copy numbers and DNA-binding affinity compared to drought-sensitive species.

This study identifies Peribacillus frigoritolerans T7-IITJ as a biofertilizer that promotes plant growth and drought tolerance by inducing specific genes in Arabidopsis thaliana.

This study develops a deep learning model to identify disease-resistance proteins in rice and related species, showing superior performance compared to traditional machine learning methods.

The paper identifies five novel disease-resistance proteins in rice that contribute to resistance against bacterial leaf blight and rice blast diseases through in silico analysis.