Gene expression profiles of oil palm leaves from different oil yields and genetic population: Transcriptomic dataset
Ardha Apriyanto,
Reza Ernawan,
Mokhamad Krishna Adianto Putra,
Ricki Susilo,
Walter Ajambang,
Adi Pancoro,
Cahyo Sri Wibowo
Affiliations
Ardha Apriyanto
Research and Development, PT. Astra Agro Lestari Tbk. Jl. Puloayang Raya Blok OR I, Kawasan Industri Pulogadung, Jakarta Timur, Indonesia; Biopolymer Analytics, Institute of Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, Building 20, Potsdam-Golm, Germany; Corresponding author.
Reza Ernawan
Research and Development, PT. Astra Agro Lestari Tbk. Jl. Puloayang Raya Blok OR I, Kawasan Industri Pulogadung, Jakarta Timur, Indonesia
Mokhamad Krishna Adianto Putra
Research and Development, PT. Astra Agro Lestari Tbk. Jl. Puloayang Raya Blok OR I, Kawasan Industri Pulogadung, Jakarta Timur, Indonesia
Ricki Susilo
Research and Development, PT. Astra Agro Lestari Tbk. Jl. Puloayang Raya Blok OR I, Kawasan Industri Pulogadung, Jakarta Timur, Indonesia
Walter Ajambang
Institute of Agricultural Research for Development, Oil Palm Research Centre. BP 243, Douala, Cameroon
Adi Pancoro
School of Life Sciences and Technology, Bandung Institute of Technology, Jl. Ganesa No 10, Bandung, Indonesia
Cahyo Sri Wibowo
Research and Development, PT. Astra Agro Lestari Tbk. Jl. Puloayang Raya Blok OR I, Kawasan Industri Pulogadung, Jakarta Timur, Indonesia
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 is expected to 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.
