bioRxivPlant BiologyPreprint
ELICE16INDURES (R): a plant immune-priming activator targeting jasmonate metabolism via TIFY and RHOMBOID proteins in Hordeum vulgare
G. Hegedus, M. Kiniczky, A. Nagy, P. Pekker, B. Lang, S. Kleineizel, J. P. Pallos, Z. Thomas-Nyari, K. Decsi, B. J. Kutasy, K. Szekvari, A. Juhasz, E. Virag
Abstract
Priming activity of plant-based allelochemicals is advanced research nowadays meaning a high potential in sustainable agriculture. The ELICE16INDURES(R) (RIMPH LTD, Hungary) plant conditioner of CO2 botanical extracts is rich in plant-active ingredients such as phenolic compounds, alkaloids, and flavonoids formulated in small multilamellar liposomes. This product was investigated in autumn barley (Hordeum vulgare). Field experiments of ELICE16INDURES showed augmented NDVI values interconnected with higher photosynthetic activity and yield increase. Background of the better vitality of plants was investigated by whole genomic gene expression profiling and showed an enhanced response to wounding, jasmonic acid, oxidative detoxification, and chloroplast activity. Among top50 differentially expressed genes the TIFY domain protein TIFY11B and RHOMBOID-like protein 2 related to JA signaling were up-regulated in field-collected samples. Phytotron experiments of barley were set up to validate and evaluate the transcriptomic effect of ELICE16INDURES. Well-studied priming active agents such as salicylic acid and beta-aminobutyric acid were compared with ELICE16INDURES and confirmed as priming inducer material with positive regulation of TIFY11B, TIFY3B, TIFY9, TIF10A, and RHOMBOID like protein 2 by using NGS GEx and RT-qPCR methods. One-sentence summaryELICE16INDURES(R) is a plant conditioner agent with a high amount of allelochemicals encapsulated into small multilamellar liposomes and found as an immune priming activator tested in H. vulgare field and phytotron cultures.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
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