Dataset Information

Transcriptional and proteomic insights into phytotoxic activity of interspecific potato hybrids with low glycoalkaloid contents.

ABSTRACT: We examined phytotoxic potential of diploid potato hybrids from 15-1 population. Individuals were bulked in bulks C and D. Both bulks characterized low total glycoalkaloids content and differ phytotoxic potential. Water extract prepared from leaves of individuals of bulk C inhibited growth of test plant - mustard in 40%, while in bulk D no inhibition was observed. To evaluate cause of expression of phytotoxic potential in bulk C, we examined glycoalklaoids composition in leaf water extract (mass spectrometry), compared gene (deep RNA sequencing - BGISEQ) and protein expression (nano-LC-MS-MS/MS) profiles between the bulks. Bulks differed in glycoalkaloids composition, bulk C contained alpha-solasonine which wasn't detected in bulk D. We concluded, alpha-solasonine may act together with alpha-solamargine and increases phytotoxic potential of leave extract of bulk C. Comparison of gene expression profiles indicating on contribution of genes, not directly involved in glycoalkaloids biosynthesis to express phytotoxic potential of C bulk. We have found 3 proteins characteristic for C bulk and 2 proteins characteristic for D bulk. We found one protein threonine dehydratase biosynthetic, which is more abundant in D bulk and his abundance corresponds with gene transcripts found in RNA-seq experiment.

ORGANISM(S): Solanum tuberosum

PROVIDER: GSE155583 | GEO | 2020/08/04

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Wang Bi Tablet (WBT) exhibits effective power in clinic during the treatment of rheumatoid arthritis (RA) in China. We aimed to employ the “integrative pharmacology strategy”, including rapid analysis of chemical composition, pharmacological experiment, and network pharmacology analysis, to delineate the main active components and reveal the underlying mechanism of WBT acting on RA. UPLC-QTOF-MS/MS provided the chemical fingerprint of WBT and UNIFI 1.8 software assisted in chemical composition identification by matching the MSE raw data to the in-house library. The anti-inflammatory effect of WBT was evaluated in TNF-α- stimulated RAW264.7 cells by ELISA and transcriptome sequencing. Network pharmacology analysis was carried out based on Integrative Pharmacology-based Network Computational Research Platform of Traditional Chinese Medicine (TCMIP V2.0, http://www.tcmip.cn/). Functional enrichment and network visualization was performed by DAVID v6.8 and NaviGator v3.0 respectively. Altogether, 293 chemical constituents were preliminarily identified or tentatively characterized in the extract of WBT, and it could effectively against inflammatory response in TNF-α-stimulated RAW264.7 cells. One hundred and thirty-five hub genes were delineated based on the network construction of “Anti-inflammatory Core Genes-Putative Targets-RA genes”, which were mainly involved in inflammation-immune regulation, closely relating to the occurrence and development of RA, such as Cytokine-cytokine receptor interaction, Chemokine signaling pathway, etc., Forty-eight key active constituents were selected according to the frequency binding to hub targets and contents in WBT, corresponding to 13 herbal medicines. In summary, it is the first time to explore the active constituents and underlying mechanism of WBT acting on RA using integrative pharmacology strategy, which may provide an efficient way for the analysis of chemical constituents and exploration of pharmacological mechanism of TCM.

Dataset Information

Transcriptional and proteomic insights into phytotoxic activity of interspecific potato hybrids with low glycoalkaloid contents.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure