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LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods
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 y...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873126/ https://www.ncbi.nlm.nih.gov/pubmed/33563993 http://dx.doi.org/10.1038/s41597-021-00836-8 |
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author | Marr, Sue Hageman, Jos A. Wehrens, Ron van Dam, Nicole M. Bruelheide, Helge Neumann, Steffen |
author_facet | Marr, Sue Hageman, Jos A. Wehrens, Ron van Dam, Nicole M. Bruelheide, Helge Neumann, Steffen |
author_sort | Marr, Sue |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7873126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78731262021-02-16 LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods Marr, Sue Hageman, Jos A. Wehrens, Ron van Dam, Nicole M. Bruelheide, Helge Neumann, Steffen Sci Data Data Descriptor 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. Nature Publishing Group UK 2021-02-09 /pmc/articles/PMC7873126/ /pubmed/33563993 http://dx.doi.org/10.1038/s41597-021-00836-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Marr, Sue Hageman, Jos A. Wehrens, Ron van Dam, Nicole M. Bruelheide, Helge Neumann, Steffen LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
title | LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
title_full | LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
title_fullStr | LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
title_full_unstemmed | LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
title_short | LC-MS based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
title_sort | lc-ms based plant metabolic profiles of thirteen grassland species grown in diverse neighbourhoods |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873126/ https://www.ncbi.nlm.nih.gov/pubmed/33563993 http://dx.doi.org/10.1038/s41597-021-00836-8 |
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