Related Experiment Video
Updated: Jul 2, 2026

A Flexible Low Cost Hydroponic System for Assessing Plant Responses to Small Molecules in Sterile Conditions
Published on: August 25, 2018
Transcriptome data of oil palm dumpy seedlings treated with different concentration of phosphorus in hydroponic
Sigit Dwi Maryanto1,2, Zulfikar Achmad Tanjung2, Roberdi Roberdi2
1Doctoral Program, Department of Biology, Faculty of Biology, Universitas Gadjah Mada. Jl. Teknika Selatan, Sekip Utara, Sleman, Yogyakarta 55281, Indonesia.
Abstract:
Phosphorus (P) is the second most utilised macronutrient in oil palm plantations. Employing a molecular genetic approach to develop oil palm genotype with improved P uptake efficiency could mitigate phosphorus deficiency. The molecular mechanisms underlying the roles of Phosphorus in oil palm remain are not fully understood. A comprehensive study of gene regulation patterns concerning phosphorus dosages will be useful for elucidating the biological processes and cellular mechanisms in oil palm. In this study, RNA sequencing (RNAseq) analysis was performed using Dumpy (DyP)-progeny treated with five different P dosages. Three-months-old Dumpy seedlings were grown hydroponically and maintained under five P dosages for 180 days. P concentration treatments including P starvation (P0: 0% (v/v)), P deficiency (P30: 1.40%; P65: 3.03%; P100: 4.67% (v/v)) and P optimum (P300: 14.02% (v/v)). P300 (14.02%) is an optimum P dosage for oil palm seedlings in the main nursery stage based on an internal standard procedure. The leaf samples were collected at the end of the trial and the RNA was isolated and subjected to RNA sequencing. The Illumina NextSeq 2000 platform was applied to generate a total nucleotide sequence of approximately 23.2 Gb. A total of 84,285,330 raw reads were obtained and submitted to the NCBI Sequence Read Archive (SRA) repository under the BioProject accession number PRJNA1217601. This dataset will be a valuable resource for identifying genes associated with different P supplies. Moreover, the transcriptome data obtained will be valuable for the development of potential SNP molecular markers for P uptake efficiency in oil palm.

