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Time-course gene expression profiling data of Triticum aestivum treated by supercritical CO(2) garlic extract encapsulated in nanoscale liposomes

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 carb...

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Detalles Bibliográficos
Autores principales: Kutasy, Barbara, Decsi, Kincső, Kiniczky, Márta, Hegedűs, Géza, Virág, Eszter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142676/
https://www.ncbi.nlm.nih.gov/pubmed/35637890
http://dx.doi.org/10.1016/j.dib.2022.108287
Descripción
Sumario: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-CO(2)) extraction of A. sativum could help preserve bioactive compounds and be used as a biostimulant agent. The SC-CO(2) garlic was formulated in liposomes and used as a nanoscale drug delivery system to reach better efficiency of penetration and translocation. The SC-CO(2) 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-CO(2) 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.