Cannabis sativa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA815962 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Drought stress is the main environmental factor influencing hemp growth and yield. However, little is known about the response mechanism of hemp to drought stress. A total of 44.10 M tags and 8.91G bases were sequenced in the control hemp (CK) and drought stress hemp (DS) libraries. A total of 1292 differentially expressed genes (DEGs), including 883 up-regulated genes and 409 down-regulated genes, were identified. These results may contribute toward improving our understanding about the drought stress regulatory mechanism of hemp, and improving its drought tolerance ability.
2017-04-22 | GSE56964 | GEO
Project description:Drought stress is the main environmental factor influencing hemp growth and yield. However, little is known about the response mechanism of hemp to drought stress. A total of 44.10 M tags and 8.91G bases were sequenced in the control hemp (CK) and drought stress hemp (DS) libraries. A total of 1292 differentially expressed genes (DEGs), including 883 up-regulated genes and 409 down-regulated genes, were identified. These results may contribute toward improving our understanding about the drought stress regulatory mechanism of hemp, and improving its drought tolerance ability. 3' tag-based DGE libraries were generated to exam the differentially expressed gene between drought-stressed and well-watered hemp
2017-04-22 | E-GEOD-56964 | biostudies-arrayexpress
Project description:Whole genome-wide expression profiles of hemp (Cannabis sativa L.) in response to drought stress
| PRJNA245084 | ENA
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:<h4>Background</h4>Cannabis sativa, a dioecious plant that has been cultivated worldwide for thousands of years, is known for its secondary metabolites, especially cannabinoids, which possess several medicinal effects. In this study, we investigated the autopolyploidization effects on the biosynthesis and accumulation of these metabolites, transcriptomic and metabolomic analyses were performed to explore the gene expression and metabolic variations in industrial hemp autotetraploids and their diploid progenitors.<h4>Results</h4>Through these analyses, we obtained 1,663 differentially expressed metabolites and 1,103 differentially expressed genes. Integrative analysis revealed that phenylpropanoid and terpenoid biosynthesis were regulated by polyploidization. No substantial differences were found in the cannabidiol or tetrahydrocannabinol content between tetraploids and diploids. Following polyploidization, some transcription factors, including nine bHLH and eight MYB transcription factors, affected the metabolic biosynthesis as regulators. Additionally, several pivotal catalytic genes, such as flavonol synthase/flavanone 3-hydroxylase, related to the phenylpropanoid metabolic pathway, were identified as being modulated by polyploidization.<h4>Conclusions</h4>This study enhances the overall understanding of the impact of autopolyploidization in C. sativa and the findings may encourage the application of polyploid breeding for increasing the content of important secondary metabolites in industrial hemp.
2023-09-21 | MTBLS6032 | MetaboLights
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
Project description:Cannabis sativa L miRNA raw data
| PRJNA669955 | ENA
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:Three 2cm segments were excised from different parts (TOP, MID, BOT) along the vertical axis of a 4 week old stem of hemp (C. sativa), and the outer layers of the stem were compared using a cDNA amplicon array. Each segment represented a different developmental stage, especially in relation to bast fibre differentiation (i.e. TOP= elongation, MID=transition, BOT= thickening). Only the cDNAs that showed the highest differential expression were sequenced.
2007-07-01 | E-MEXP-1042 | biostudies-arrayexpress