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.
