MassIVE MSV000086585

Partial Public

GNPS Comparative analyses of phytochemical variation within and between congeneric species of Epilobium hirsutum and Epilobium parviflorum_Contribution of environmental factors

Description

The plants in Epilobium genus are considered to have several important medicinal properties due to unique chemical composition. Although metabolic profiles of medicinal plants are mainly controlled by genetic factors, their production is also to some degree influenced by environmental factors, thus, variations in the levels of phytochemicals may represent long term ecological and evolutionary interactions. In order to depict the magnitude of natural variation in level of chemical compounds among conspecific populations of Epilobium hirsutum (n=31) and E. parviflorum (n=16), metabolite profiling of aerial parts of plants was performed with GCqMS analysis. Putative identification and structure annotation revealed the presence of 74 compounds including 46 compounds considered as secondary metabolites categorized into flavonoids (n=8), phenolic acids (n=26), steroids (n=3), terpenes (n=5) across all populations. Although there was a considerable natural variation among conspecific population, principal component analysis revealed a clear separation of populations of each species based on the second main principal component which was highly correlated with 8 secondary metabolites. The level of secondary metabolites was significantly correlated between species (r=0.91), suggesting shared metabolic pathways underlying the production of chemical compounds. In addition, redundancy and variance partitioning analyses by including bioclimatic variables and altitude revealed a significant contribution of elevation in explaining total variation of secondary metabolites in E. hirsutum. Two third of all secondary metabolites were significantly correlated with altitude in E. hirsutum. The large scale geographic analyses of populations revealed additionally detected flavonoids and terpenes (E. hirsutum, and E. parviflorum) and steroid (E. hirsutum) compounds for the first time. This study provides significant information on additional chemical compounds found across the distribution range of the species and emphasizes the importance of geographic wide sampling as a valuable approach to depict both intraspecific and interspecific variability in chemical traits. [doi:10.25345/C5Z19Z] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: flavonoids ; phenolic acids ; terpenes ; steroids ; specialized metabolites ; metabolite profiling

Contact

Principal Investigators:
(in alphabetical order)
Jens Rohloff, NTNU, Norway
Submitting User: jensroh
Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

- Dataset Reanalyses


+ Dataset History


GNPS content goes here (MSV000086585 [task=5c7d23177b9541958ed1d74f5f73caeb])
Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.