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Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses
Metabolomics plays an important role in phytochemical genomics and crop breeding; however, metabolite annotation is a significant bottleneck in metabolomic studies. In particular, in liquid chromatography–mass spectrometry (MS)-based metabolomics, which has become a routine technology for the profil...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097337/ https://www.ncbi.nlm.nih.gov/pubmed/25057267 http://dx.doi.org/10.1007/s11306-013-0619-5 |
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author | Yang, Zhigang Nakabayashi, Ryo Okazaki, Yozo Mori, Tetsuya Takamatsu, Satoshi Kitanaka, Susumu Kikuchi, Jun Saito, Kazuki |
author_facet | Yang, Zhigang Nakabayashi, Ryo Okazaki, Yozo Mori, Tetsuya Takamatsu, Satoshi Kitanaka, Susumu Kikuchi, Jun Saito, Kazuki |
author_sort | Yang, Zhigang |
collection | PubMed |
description | Metabolomics plays an important role in phytochemical genomics and crop breeding; however, metabolite annotation is a significant bottleneck in metabolomic studies. In particular, in liquid chromatography–mass spectrometry (MS)-based metabolomics, which has become a routine technology for the profiling of plant-specialized metabolites, a substantial number of metabolites detected as MS peaks are still not assigned properly to a single metabolite. Oryza sativa (rice) is one of the most important staple crops in the world. In the present study, we isolated and elucidated the structures of specialized metabolites from rice by using MS/MS and NMR. Thirty-six compounds, including five new flavonoids and eight rare flavonolignan isomers, were isolated from the rice leaves. The MS/MS spectral data of the isolated compounds, with a detailed interpretation of MS fragmentation data, will facilitate metabolite annotation of the related phytochemicals by enriching the public mass spectral data depositories, including the plant-specific MS/MS-based database, ReSpect. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-013-0619-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4097337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-40973372014-07-21 Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses Yang, Zhigang Nakabayashi, Ryo Okazaki, Yozo Mori, Tetsuya Takamatsu, Satoshi Kitanaka, Susumu Kikuchi, Jun Saito, Kazuki Metabolomics Original Article Metabolomics plays an important role in phytochemical genomics and crop breeding; however, metabolite annotation is a significant bottleneck in metabolomic studies. In particular, in liquid chromatography–mass spectrometry (MS)-based metabolomics, which has become a routine technology for the profiling of plant-specialized metabolites, a substantial number of metabolites detected as MS peaks are still not assigned properly to a single metabolite. Oryza sativa (rice) is one of the most important staple crops in the world. In the present study, we isolated and elucidated the structures of specialized metabolites from rice by using MS/MS and NMR. Thirty-six compounds, including five new flavonoids and eight rare flavonolignan isomers, were isolated from the rice leaves. The MS/MS spectral data of the isolated compounds, with a detailed interpretation of MS fragmentation data, will facilitate metabolite annotation of the related phytochemicals by enriching the public mass spectral data depositories, including the plant-specific MS/MS-based database, ReSpect. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-013-0619-5) contains supplementary material, which is available to authorized users. Springer US 2013-12-29 2014 /pmc/articles/PMC4097337/ /pubmed/25057267 http://dx.doi.org/10.1007/s11306-013-0619-5 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Yang, Zhigang Nakabayashi, Ryo Okazaki, Yozo Mori, Tetsuya Takamatsu, Satoshi Kitanaka, Susumu Kikuchi, Jun Saito, Kazuki Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses |
title | Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses |
title_full | Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses |
title_fullStr | Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses |
title_full_unstemmed | Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses |
title_short | Toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from Oryza sativa (rice) by using MS/MS and NMR analyses |
title_sort | toward better annotation in plant metabolomics: isolation and structure elucidation of 36 specialized metabolites from oryza sativa (rice) by using ms/ms and nmr analyses |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097337/ https://www.ncbi.nlm.nih.gov/pubmed/25057267 http://dx.doi.org/10.1007/s11306-013-0619-5 |
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