Dataset of conditioning effect of herbal extract-based plant biostimulants in pea (Pisum sativum)

Published: 2 September 2022| Version 1 | DOI: 10.17632/f93mjns9t6.1
Contributors:
Barbara Kutasy,
,

Description

Using next-generation plant biostimulants (PBs) could be help to enhance tolerance to abiotic and biotic stresses, vegetable crop quality or nutrient efficiency which is particularly important for vegetable, such as Pisum sativum. The effective extraction methods of herb, the supercritical carbon dioxide (SC-CO2) extraction and the nanoscale drug delivery system as the formulation of PBs offers greener processes and products with preserve bioactive compounds than conventional alternatives. The herbal drug-containing plant biostimulators Elice16Indures and Fitokondi were used with different doses in pea field experiments to monitor the potential of enhancing crop quality and defense responses against different stress factors. Fresh leaves were collected after treatments for QuantSeq 3 mRNA sequencing at Illumina NextSeq 550 platform and libraries were investigated by genome-wide transcriptional profiling focusing on genes associated defense response pathways.

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Seeds of Pisum sativum subsp. sativum cultivar Angela were sown in experimental plots in four replicates and treated with two types of PBs. During the cultivation period plants were treated three times at BBCH16, BBCH51 and BBCH67 stages with Elice16Indures 20g•ha-1(‘E20’), Elice16Indures 240g•ha-1 (‘E240’) and as a positive control, Fitokondi (‘F’) 4l•ha1 (the normal field dose) biostimulators. Leaf samples were collected after the last treatment at BBCH74 stage. Samples were sequenced by the Illumina NextSeq550 platform and NGS libraries were prepared using 14.6-17.5M single-end reads. Using de novo assembly a combined transcript dataset was gained (total transcripts: 7,513; total genes: 6,897) that was examined by pairwise differential expression (DEG) and gene set enrichment analysis (GSEA). Functional annotation and Gene Ontology (GO) analyses were performed according to GO terms of molecular function, cellular component and biological process.

Institutions

Debreceni Egyetem

Categories

Agricultural Science

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