Summary of Study ST002021
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001283. The data can be accessed directly via it's Project DOI: 10.21228/M8VX1B This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002021 |
Study Title | An integrated-omics approach reveals specific bacterial and fungal taxa associated with roots of Alkanna tinctoria L. Tausch correlating with medicinally relevant alkannin derivatives and other secondary metabolites |
Study Summary | Plants are naturally associated with diverse microbial communities, which play significant roles in plant performance, such as growth promotion or fending off pathogens. The roots of Alkanna tinctoria L. are rich in naphthoquinones, particularly the medicinally used chiral compounds alkannin, shikonin and their derivatives. Former studies already have shown that microorganisms may modulate plant metabolism. To further investigate the potential interaction between A. tinctoria and associated microorganisms we performed a greenhouse experiment, in which A. tinctoria plants were grown in the presence of three distinct soil microbiomes. At four defined plant developmental stages we made an in-depth assessment of bacterial and fungal root-associated microbiomes as well as all primary and secondary metabolites. Our results showed that the plant developmental stage was the most important driver influencing the plant metabolite content, revealing peak contents of alkannin/shikonin at the fruiting stage. In contrast, the soil microbiome had the biggest impact on the plant root microbiome. Correlation analyses performed on the measured metabolite content and the abundance of individual bacterial and fungal taxa suggested a dynamic, at times positive or negative relationship between root-associated microorganisms and root metabolism. In particular, the bacterial Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium group and the fungal species Penicillium jensenii were found to be positively correlated with higher content of alkannins. |
Institute | Aristotle University of Thessaloniki |
Department | School of Chemical Engineering |
Laboratory | Organic Chemistry Laboratory |
Last Name | Rodic |
First Name | Nebojsa |
Address | Stepe Stepanovica 5, Conoplja, Vojvodina, 25210, Yugoslavia |
nebojsa.rodic@hotmail.com | |
Phone | +381648766400 |
Submit Date | 2021-11-28 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2022-01-06 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN003291 |
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Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Thermo Accela 1250 |
Column | Waters Acquity UPLC HSS C18 SB (100 x 2.1mm, 1.8um) |
MS Type | ESI |
MS instrument type | Orbitrap |
MS instrument name | Thermo LTQ Discovery Orbitrap |
Ion Mode | POSITIVE |
Units | intensity units |
MS:
MS ID: | MS003062 |
Analysis ID: | AN003291 |
Instrument Name: | Thermo LTQ Discovery Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | The MS/MS data were obtained for the six most intense m/z peaks in each full scan, with the normalized collision energy set to 35 eV. The acquisition and initial processing of the data were by means of XcaliburTM (Thermo Scientific, USA) software, while data alignment and feature extraction were performed utilizing the XCMS Online platform (The Scripps Research Institute, USA). The batch error correction was done with the help of MetaboAnalyst 5.0. |
Ion Mode: | POSITIVE |