Time-course gene expression profiling data of Triticum aestivum treated by supercritical CO2 garlic extract encapsulated in nanoscale liposomes

Barbara Kutasy; Kincső Decsi; Márta Kiniczky; Géza Hegedűs; Eszter Virág

doi:10.1016/j.dib.2022.108287

Time-course gene expression profiling data of Triticum aestivum treated by supercritical CO₂ garlic extract encapsulated in nanoscale liposomes

Data Brief. 2022 May 17:42:108287. doi: 10.1016/j.dib.2022.108287. eCollection 2022 Jun.

Authors

Barbara Kutasy¹, Kincső Decsi¹, Márta Kiniczky², Géza Hegedűs³, Eszter Virág^{2

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Affiliations

¹ Department of Plant Physiology and Plant Ecology, the Hungarian University of Agriculture and Life Sciences, Georgikon Campus Keszthely, 8360 Keszthely, Festetics Gy. u. 7., Hungary.
² Research Institute for Medicinal Plants and Herbs Ltd. 2011 Budakalász, Lupaszigeti út 4., Hungary.
³ EduCoMat Ltd., 830 Keszthely, Iskola u. 12/A., Hungary.
⁴ Department of Molecular Biotechnology and Microbiology, Institute of Biotechnology, Faculty of Science and Technology, University of Debrecen, 4132 Debrecen, Egyetem tér 1., Hungary.

Abstract

The biostimulant phytochemicals as alternatives to synthetic chemicals are gaining ground in sustainable agricultural production nowadays. The medicinal herb, garlic (Allium sativum) has a spectacular therapeutic reputation due to its antimicrobial properties. The effectiveness of supercritical carbon dioxide (SC-CO₂) extraction of A. sativum could help preserve bioactive compounds and be used as a biostimulant agent. The SC-CO₂ garlic was formulated in liposomes and used as a nanoscale drug delivery system to reach better efficiency of penetration and translocation. The SC-CO₂ garlic extracts were used in Triticum aestivum time-course experiments to monitor conditioning effects such as improving crop quality and priming its defense responses against different pathogens. Fresh leaves were collected after SC-CO₂ garlic exposure at 15 min, 24, and 48 hours for QuantSeq 3' mRNA sequencing at Illumina NextSeq 550 platform. RNA quantification datasets are presented. Raw data such as Illumina 85bp single-end read sequences and reconstructed transcripts were deposited in the NCBI SRA and TSA databases under the BioProject PRJNA808851. Functional annotation of transcripts and time-course expression data are presented here to support gene expression analysis experiments.

Keywords: Allium sativum; Biostimulant; Defense response; Illumina sequencing; Nanotechnology; Whole-genome transcriptional profiling.