Project description:Oil palm (Elaeis guineensis) is a highly productive oil crop and the most consumed vegetable oil globally due to its unique oil characteristics. Palm oil production is affected by abiotic stresses, leading to food security issues and huge economic losses. To understand the oil palm responses to different abiotic stresses at the transcriptional level, we performed RNA-Seq analyses of oil palm leaves treated with drought, high salinity, heat, cold and flood stresses compared with controls. A total of 18 libraries (three biological replicates per treatment) were generated with approximately 843 million of total clean reads after data filtering. Clean reads were mapped to the oil palm reference genome at a total mapping rate of more than 70%. The quantification of expression analysis enabled the identification of potential abiotic stress-responsive genes, co-expressed under multiple abiotic stresses and unigenes that were induced by a specific abiotic stress. The availability of these RNA-Seq datasets will provide a better understanding of the abiotic stress response mechanisms to develop climate-resilient oil palm planting materials.
Project description:Oil palm (Elaeis guineensis Jacq.) is one of the most important oil-producing crops in the world. However, the demand for oil from this crop will increase in the future. A comparative gene expression profile of the oil palm leaves was needed in order to understand the key factors that influence the oil production. Here, we reported an RNA-seq dataset from three different oil yields and three different genetic populations of oil palm. All raw sequencing reads were obtained from an Illumina NextSeq 500 platform. We also provide a list of the genes and their expression levels resulting from the RNA-sequencing. This transcriptomic dataset will provide a valuable resource for increasing oil yield.
