Project description:Even if a large amount of high-throughput functional genomic data exists, most researchers feature a strong background in molecular biology but lack advanced bioinformatics skills. In this work, publicly available gene expression datasets have been analyzed giving rise to a total of 40,224 gene expression profiles within different Cannabis tissues/developmental stages. The resource here proposed will provide researchers with a starting point for future investigations of Cannabis sativa.
Project description:Cannabis sativa L. is a dioecious, annual herbaceous crop (2n = 20) known for its diverse applications across textile, food, cosmetic, and medicinal industries. Recent increases in global temperatures have raised concerns about the impact of heat stress on hemp physiology. Although previous studies have demonstrated reductions in photosynthetic efficiency and cannabinoid levels under heat stress, transcriptome-wide insights into molecular responses remain limited. In this study, we performed a genome-wide transcriptomic analysis to investigate the molecular mechanisms of heat stress response in C. sativa cv. Pink Pepper. This dataset provides a high-resolution transcriptomic resource to explore thermotolerance in C. sativa and contributes to a better understanding of its molecular adaptation to heat stress. The findings can aid future breeding and biotechnology efforts aimed at enhancing stress resilience in hemp.
Project description:Cannabis sativa L., which has been reclassified as an agronomic crop, has experienced an increase in cultivation. Its interactions with a variety of environmental stressors have been extensively studied. However, the mechanisms of recovery through fungal associations remain underexplored. Trichoderma hamatum, known for its role as a biological agent, enhances plant growth and provides antagonistic defense against pathogenic microbes. This meta-dataset aims to investigate whether Th can enhance drought resistance in a Cannabis plants.
