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.
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
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.
Project description:Metagenomic sequencing of total RNA from Cannabis sativa (hemp) leaves, including viruses, viroids, and other microbes. Raw sequence reads
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.
