Computational workflow to study the seasonal variation of secondary metabolites in nine different bryophytes.

ABSTRACT: In Eco-Metabolomics interactions are studied of non-model organisms in their natural environment and relations are made between biochemistry and ecological function. Current challenges when processing such metabolomics data involve complex experiment designs which are often carried out in large field campaigns involving multiple study factors, peak detection parameter settings, the high variation of metabolite profiles and the analysis of non-model species with scarcely characterised metabolomes. Here, we present a dataset generated from 108 samples of nine bryophyte species obtained in four seasons using an untargeted liquid chromatography coupled with mass spectrometry acquisition method (LC/MS). Using this dataset we address the current challenges when processing Eco-Metabolomics data.

SUBMITTER: Peters K 

PROVIDER: S-EPMC6111888 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature