Cargando…

Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids

For a long time D-enantiomers of proteinogenic L-amino acids were assumed to be physiologically irrelevant for plants. But there is growing evidence that D-amino acids (D-AAs) also fulfil important physiological functions in these organisms. However, the knowledge about the metabolic fate of D-AAs i...

Descripción completa

Detalles Bibliográficos
Autores principales: Gördes, Dirk, Koch, Grit, Thurow, Kerstin, Kolukisaoglu, Üner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825070/
https://www.ncbi.nlm.nih.gov/pubmed/24255853
http://dx.doi.org/10.1186/2193-1801-2-559
_version_ 1782290763693948928
author Gördes, Dirk
Koch, Grit
Thurow, Kerstin
Kolukisaoglu, Üner
author_facet Gördes, Dirk
Koch, Grit
Thurow, Kerstin
Kolukisaoglu, Üner
author_sort Gördes, Dirk
collection PubMed
description For a long time D-enantiomers of proteinogenic L-amino acids were assumed to be physiologically irrelevant for plants. But there is growing evidence that D-amino acids (D-AAs) also fulfil important physiological functions in these organisms. However, the knowledge about the metabolic fate of D-AAs in plants is still scarce and more information about it is needed. To close this gap we established an optimized protocol for the processing and analysis of D- and L-AAs from large numbers of Arabidopsis lines. This included the application of 18 different D-AAs to seedlings, the extraction of free amino acids from the samples and the determination of 16 L-AAs and their corresponding D-enantiomers. To validate our approach we searched for genetic accessions with aberrant amino acid metabolism. Therefore we applied D-AAs on 17 ecotypes of Arabidopsis thaliana and analysed their free amino acid contents. These analyses confirmed the suitability of the system for the analysis of large sets of plant samples with enhanced velocity and improved accuracy. Furthermore, the resulting data led to the definition of standard amino acid profiles in response to D-AAs of Arabidopsis seedlings. Within these analyses the ecotype Landsberg erecta was found with aberrant metabolic patterns like drastically reduced capabilities to convert different D-AAs to D-alanine and D-glutamate. The presented experimental setup and results of this study offer starting points to dissect the metabolic pathway of D-AAs in plants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-559) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-3825070
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-38250702013-11-19 Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids Gördes, Dirk Koch, Grit Thurow, Kerstin Kolukisaoglu, Üner Springerplus Research For a long time D-enantiomers of proteinogenic L-amino acids were assumed to be physiologically irrelevant for plants. But there is growing evidence that D-amino acids (D-AAs) also fulfil important physiological functions in these organisms. However, the knowledge about the metabolic fate of D-AAs in plants is still scarce and more information about it is needed. To close this gap we established an optimized protocol for the processing and analysis of D- and L-AAs from large numbers of Arabidopsis lines. This included the application of 18 different D-AAs to seedlings, the extraction of free amino acids from the samples and the determination of 16 L-AAs and their corresponding D-enantiomers. To validate our approach we searched for genetic accessions with aberrant amino acid metabolism. Therefore we applied D-AAs on 17 ecotypes of Arabidopsis thaliana and analysed their free amino acid contents. These analyses confirmed the suitability of the system for the analysis of large sets of plant samples with enhanced velocity and improved accuracy. Furthermore, the resulting data led to the definition of standard amino acid profiles in response to D-AAs of Arabidopsis seedlings. Within these analyses the ecotype Landsberg erecta was found with aberrant metabolic patterns like drastically reduced capabilities to convert different D-AAs to D-alanine and D-glutamate. The presented experimental setup and results of this study offer starting points to dissect the metabolic pathway of D-AAs in plants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2193-1801-2-559) contains supplementary material, which is available to authorized users. Springer International Publishing 2013-10-24 /pmc/articles/PMC3825070/ /pubmed/24255853 http://dx.doi.org/10.1186/2193-1801-2-559 Text en © Gördes et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Gördes, Dirk
Koch, Grit
Thurow, Kerstin
Kolukisaoglu, Üner
Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids
title Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids
title_full Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids
title_fullStr Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids
title_full_unstemmed Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids
title_short Analyses of Arabidopsis ecotypes reveal metabolic diversity to convert D-amino acids
title_sort analyses of arabidopsis ecotypes reveal metabolic diversity to convert d-amino acids
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3825070/
https://www.ncbi.nlm.nih.gov/pubmed/24255853
http://dx.doi.org/10.1186/2193-1801-2-559
work_keys_str_mv AT gordesdirk analysesofarabidopsisecotypesrevealmetabolicdiversitytoconvertdaminoacids
AT kochgrit analysesofarabidopsisecotypesrevealmetabolicdiversitytoconvertdaminoacids
AT thurowkerstin analysesofarabidopsisecotypesrevealmetabolicdiversitytoconvertdaminoacids
AT kolukisaogluuner analysesofarabidopsisecotypesrevealmetabolicdiversitytoconvertdaminoacids