Metabolomics

Dataset Information

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LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods


ABSTRACT: In plants, secondary metabolite profiles provide a unique opportunity to explore seasonal variation and responses to the environment. These include both abiotic and biotic factors. In field experiments, such stress factors occur in combination. This variation alters the plant metabolic profiles in yet uninvestigated ways. This data set contains trait and mass spectrometry data of thirteen grassland species collected at four time points in the growing season in 2017. We collected above-ground vegetative material of seven grass and six herb species that were grown in plant communities with different levels of diversity in the Jena Experiment. For each sample, we recorded visible traits and acquired shoot metabolic profiles on a UPLC-ESI-Qq-TOF-MS. We performed the raw data pre-processing in Galaxy-W4M and prepared the data for statistical analysis in R by applying missing data imputation, batch correction, and validity checks on the features. This comprehensive data set provides the opportunity to investigate environmental dynamics across diverse neighbourhoods that are reflected in the metabolomic profile.

INSTRUMENT(S): Liquid Chromatography MS - positive

SUBMITTER: Steffen Neumann  Sue Marr 

PROVIDER: MTBLS679 | MetaboLights | 2020-12-23

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS679 Other
FILES Other
a_MTBLS679_LC-MS_positive__metabolite_profiling.txt Txt
i_Investigation.txt Txt
s_MTBLS679.txt Txt
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Publications

LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods.

Marr Sue S   Hageman Jos A JA   Wehrens Ron R   van Dam Nicole M NM   Bruelheide Helge H   Neumann Steffen S  

Scientific data 20210209 1


In plants, secondary metabolite profiles provide a unique opportunity to explore seasonal variation and responses to the environment. These include both abiotic and biotic factors. In field experiments, such stress factors occur in combination. This variation alters the plant metabolic profiles in yet uninvestigated ways. This data set contains trait and mass spectrometry data of thirteen grassland species collected at four time points in the growing season in 2017. We collected above-ground veg  ...[more]

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