Biomarker genes for model-based prediction of drought-stress perception levels in rice.

ABSTRACT:

Background

Drought is a global challenge that severely restricts crop yields and threatens food security. Plants respond to drought stress by modulating gene expression before visible phenotypic changes occur. However, most studies of drought resistance have examined phenotypes after drought treatment, with little emphasis on how severely the plants were perceiving drought-stress conditions before the appearance of stress symptoms. We therefore developed drought-stress biomarkers (DSBMs) to detect drought-stress perception levels based on gene expression profiles by performing time-series transcriptome analysis and phenotypic analysis of rice (Oryza sativa) under drought conditions in the growth chamber.

Results

Time-series RNA-seq of the drought-susceptible rice cultivar IR

SUBMITTER: Yoshino K 

PROVIDER: S-EPMC12462041 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature