Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1301983 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2017-01-13 | GSE93201 | GEO
Project description:Known to infect more than 600 plant species worldwide, Sclerotinia sclerotiorum is a necrotrophic fungal pathogen, and the causative agent of white mold. With recent infection reports documented across North America, Cannabis sativa is known to be susceptible to Sclerotinia infection. Resulting from legal constraints associated with C. sativa, little is known about the Cannabis-Sclerotinia pathosystem, particularly in how the plant responds to pathogen attack at the cellular and molecular levels. Anatomical study revealed initial infection and degradation of the epidermis and cortical parenchyma, followed by widespread infection of the vascular phloem. Dual RNA sequencing provided a detailed transcriptomic profile of this pathosystem directly at the site of infection. Differential gene expression analysis revealed large-scale transcriptional shifts resulting from rapid infection. We identified the upregulation of 97 genes at 1 day post inoculation (dpi) and 6733 genes 5 dpi in C. sativa, while 3186 genes were identified in S. sclerotiorum 7 dpi. Gene ontology term enrichment identified processes associated with plant defense and signal transduction cascades during C. sativa infection while processes associated with redox control and sugar catabolism were enriched in S. sclerotiorum. Taken together, this study revealed transcriptional reprogramming in both the host plant and fungal pathogen associated with degradation of host cortical and vascular phloem tissues.
2025-03-01 | GSE284432 | GEO
Project description:Cannabis Sativa Genome Sequencing
| PRJNA71689 | ENA
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.
2024-05-08 | GSE266916 | GEO