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Updated: Jan 16, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Transcriptome datasets of wheat plant cultures treated with seed priming fertilizer
Kincső Decsi1, Mostafa Ahmed2,3, Roquia Rizk3
1Institute of Agronomy, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, 7 Festetics street, Hungary.
Abstract:
Extreme weather conditions cause stress in agriculture. To prevent these stress effects, techniques are now available that focus on prevention. One of these solutions could be the use of priming agents, which prepare plants for stress effects, as their application can trigger plant defense responses. Wheat plants were treated with seed priming fertilizer in advance and then exposed them to drought stress during the growing season. Deep RNA sequencing was performed using the NGS technique, which sequences - after processing and evaluation - are suitable for examining the stimulatory effects of seed priming and for monitoring the long-term effects of priming during stress effects. Four forward and reverse SRA data sets were deposited in NCBI. In addition, a file - containing the de novo transcriptome assembled from the cleaned and filtered raw reads (Transcriptome Shotgun Assembly - TSA) and the count table from the RNA-sequencing read quantification (Count table) - were deposited in the Mendeley database. Future results from the databases will be suitable for the immediate (priming) and long-term (under stress conditions) study of the effects of treatments and will allow the identification and monitoring of stimulated plant biochemical processes - based on gene expression changes.
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