ArticleScientific data2021
LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Gas Chromatography-Mass Spectrometry (GC-MS) in the Plant Metabolomics Toolbox: Sample Preparation and Instrumental Analysis.Biomolecules · 2025Review
- High-throughput MALDI-MSI metabolite analysis of plant tissue microarrays.Plant biotechnology journal · 2023Article
- Metabolome expression in Eucryphia cordifolia populations: Role of seasonality and ecological niche centrality hypothesis.Journal of plant research · 2023Article
- Decoding Metabolic Reprogramming in Plants under Pathogen Attacks, a Comprehensive Review of Emerging Metabolomics Technologies to Maximize Their Applications.Metabolites · 2023Review
- Eight key rules for successful data-dependent acquisition in mass spectrometry-based metabolomics.Mass spectrometry reviews · 2023Review
- The community ecology perspective of omics data.Microbiome · 2022Article
- The use of ecological analytical tools as an unconventional approach for untargeted metabolomics data analysis: the case of Cecropia obtusifolia and its adaptive responses to nitrate starvation.Functional & integrative genomics · 2022Article
- Untargeted Metabolomics Coupled With Machine Learning Unravels Crop-Specific Versus Generalized Effects of Biostimulants in Cucumber, Pepper, and Tomato.Physiologia plantarumArticle
- Soil Moisture and Its Interaction With Temperature Determine Root Metabolomes of a Himalayan Alpine Shrub.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.