This study investigates gene expression dynamics under cold stress in two Panicoid grasses with contrasting tolerance: Sorghum bicolor (cold-sensitive) and Setaria italica (cold-tolerant). Plants were grown under field-like diurnal conditions and exposed to low temperature treatments applied at different times of day (dawn and dusk). Leaf tissue was collected across multiple time points to capture temporal transcriptional responses. RNA-seq was performed to identify genes involved in cold tolerance and to understand how circadian rhythms influence stress responses.
Low temperature is a major environmental constraint affecting crop performance, yet the role of temporal regulation in cold stress responses remains poorly understood. In this study, we performed time-series RNA sequencing to characterize transcriptional responses to cold stress in two Panicoid grasses with contrasting tolerance: Sorghum bicolor and Setaria italica. Plants were grown under controlled diurnal conditions and subjected to a survivable low temperature treatment applied at either dawn or dusk. Leaf samples were collected at regular intervals over a 24-hour period to capture dynamic gene expression changes.  This dataset enables the identification of rhythmic and cold-responsive transcripts and provides insights into how circadian regulation modulates stress responses. Comparative analysis between species facilitates the discovery of key genes and pathways associated with cold tolerance, contributing to improved understanding of stress adaptation in crops.
Low temperature is a major environmental constraint affecting crop performance, yet the role of temporal regulation in cold stress responses remains poorly understood. In this study, we performed time-series RNA sequencing to characterize transcriptional responses to cold stress in two Panicoid grasses with contrasting tolerance: Sorghum bicolor and Setaria italica. Plants were grown under controlled diurnal conditions and subjected to a survivable low temperature treatment applied at either dawn or dusk. Leaf samples were collected at regular intervals over a 24-hour period to capture dynamic gene expression changes.  This dataset enables the identification of rhythmic and cold-responsive transcripts and provides insights into how circadian regulation modulates stress responses. Comparative analysis between species facilitates the discovery of key genes and pathways associated with cold tolerance, contributing to improved understanding of stress adaptation in crops.
University of Nebraska-Lincoln, Department of Agronomy and Horticulture