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Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data

Many metabolomics studies focus on aboveground parts of the plant, while metabolism within roots and the chemical composition of the rhizosphere, as influenced by exudation, are not deeply investigated. In this study, we analysed exudate metabolic patterns of Arabidopsis thaliana and their variation...

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Autores principales: Mönchgesang, Susann, Strehmel, Nadine, Schmidt, Stephan, Westphal, Lore, Taruttis, Franziska, Müller, Erik, Herklotz, Siska, Neumann, Steffen, Scheel, Dierk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929559/
https://www.ncbi.nlm.nih.gov/pubmed/27363486
http://dx.doi.org/10.1038/srep29033
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author Mönchgesang, Susann
Strehmel, Nadine
Schmidt, Stephan
Westphal, Lore
Taruttis, Franziska
Müller, Erik
Herklotz, Siska
Neumann, Steffen
Scheel, Dierk
author_facet Mönchgesang, Susann
Strehmel, Nadine
Schmidt, Stephan
Westphal, Lore
Taruttis, Franziska
Müller, Erik
Herklotz, Siska
Neumann, Steffen
Scheel, Dierk
author_sort Mönchgesang, Susann
collection PubMed
description Many metabolomics studies focus on aboveground parts of the plant, while metabolism within roots and the chemical composition of the rhizosphere, as influenced by exudation, are not deeply investigated. In this study, we analysed exudate metabolic patterns of Arabidopsis thaliana and their variation in genetically diverse accessions. For this project, we used the 19 parental accessions of the Arabidopsis MAGIC collection. Plants were grown in a hydroponic system, their exudates were harvested before bolting and subjected to UPLC/ESI-QTOF-MS analysis. Metabolite profiles were analysed together with the genome sequence information. Our study uncovered distinct metabolite profiles for root exudates of the 19 accessions. Hierarchical clustering revealed similarities in the exudate metabolite profiles, which were partly reflected by the genetic distances. An association of metabolite absence with nonsense mutations was detected for the biosynthetic pathways of an indolic glucosinolate hydrolysis product, a hydroxycinnamic acid amine and a flavonoid triglycoside. Consequently, a direct link between metabolic phenotype and genotype was detected without using segregating populations. Moreover, genomics can help to identify biosynthetic enzymes in metabolomics experiments. Our study elucidates the chemical composition of the rhizosphere and its natural variation in A. thaliana, which is important for the attraction and shaping of microbial communities.
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spelling pubmed-49295592016-07-06 Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data Mönchgesang, Susann Strehmel, Nadine Schmidt, Stephan Westphal, Lore Taruttis, Franziska Müller, Erik Herklotz, Siska Neumann, Steffen Scheel, Dierk Sci Rep Article Many metabolomics studies focus on aboveground parts of the plant, while metabolism within roots and the chemical composition of the rhizosphere, as influenced by exudation, are not deeply investigated. In this study, we analysed exudate metabolic patterns of Arabidopsis thaliana and their variation in genetically diverse accessions. For this project, we used the 19 parental accessions of the Arabidopsis MAGIC collection. Plants were grown in a hydroponic system, their exudates were harvested before bolting and subjected to UPLC/ESI-QTOF-MS analysis. Metabolite profiles were analysed together with the genome sequence information. Our study uncovered distinct metabolite profiles for root exudates of the 19 accessions. Hierarchical clustering revealed similarities in the exudate metabolite profiles, which were partly reflected by the genetic distances. An association of metabolite absence with nonsense mutations was detected for the biosynthetic pathways of an indolic glucosinolate hydrolysis product, a hydroxycinnamic acid amine and a flavonoid triglycoside. Consequently, a direct link between metabolic phenotype and genotype was detected without using segregating populations. Moreover, genomics can help to identify biosynthetic enzymes in metabolomics experiments. Our study elucidates the chemical composition of the rhizosphere and its natural variation in A. thaliana, which is important for the attraction and shaping of microbial communities. Nature Publishing Group 2016-07-01 /pmc/articles/PMC4929559/ /pubmed/27363486 http://dx.doi.org/10.1038/srep29033 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Mönchgesang, Susann
Strehmel, Nadine
Schmidt, Stephan
Westphal, Lore
Taruttis, Franziska
Müller, Erik
Herklotz, Siska
Neumann, Steffen
Scheel, Dierk
Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data
title Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data
title_full Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data
title_fullStr Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data
title_full_unstemmed Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data
title_short Natural variation of root exudates in Arabidopsis thaliana-linking metabolomic and genomic data
title_sort natural variation of root exudates in arabidopsis thaliana-linking metabolomic and genomic data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929559/
https://www.ncbi.nlm.nih.gov/pubmed/27363486
http://dx.doi.org/10.1038/srep29033
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