Evidence map›Paper›PMID 18939963›Full record

ArticleThe Plant journal : for cell and molecular biology2009

MS/MS spectral tag-based annotation of non-targeted profile of plant secondary metabolites.

Fumio Matsuda, Keiko Yonekura-Sakakibara, Rie Niida, Takashi Kuromori, Kazuo Shinozaki, Kazuki Saito

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Article in The Plant journal : for cell and molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

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81citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

81 citing papers in PubMed.

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  8. Defective cytokinin signaling reprograms lipid and flavonoid gene-to-metabolite networks to mitigate high salinity inProceedings of the National Academy of Sciences of the United States of America · 2021
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  18. Glucosinolate Distribution in the Aerial Parts ofPlants (Basel, Switzerland) · 2019
    Article
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fumio MatsudaRIKEN Plant Science Center, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230 0045, Japan.
Keiko Yonekura-Sakakibara
Rie Niida
Takashi Kuromori
Kazuo Shinozaki
Kazuki Saito

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MS/MS spectral tag (MS2T) library-based peak annotation procedure was developed for informative non-targeted metabolic profiling analysis using LC-MS. An MS2T library of Arabidopsis metabolites was created from a set of MS/MS spectra acquired using the automatic data acquisition function of the mass spectrometer. By using this library, we obtained structural information for the detected peaks in the metabolic profile data without performing additional MS/MS analysis; this was achieved by searching for the corresponding MS2T accession in the library. In the case of metabolic profile data for Arabidopsis tissues containing more than 1000 peaks, approximately 50% of the peaks were tagged by MS2Ts, and 90 peaks were identified or tentatively annotated with metabolite information by searching the metabolite databases and manually interpreting the MS2Ts. A comparison of metabolic profiles among the Arabidopsis tissues revealed that many unknown metabolites accumulated in a tissue-specific manner, some of which were deduced to be unusual Arabidopsis metabolites based on the MS2T data. Candidate genes responsible for these biosyntheses could be predicted by projecting the results to the transcriptome data. The method was also used for metabolic phenotyping of a subset of Ds transposon-inserted lines of Arabidopsis, resulting in clarification of the functions of reported genes involved in glycosylation of flavonoids. Thus, non-targeted metabolic profiling analysis using MS2T annotation methods could prove to be useful for investigating novel functions of secondary metabolites in plants.

Indexed as

MetabolomeTandem Mass SpectrometryArabidopsisMetabolomicsPhenotype

Identifiers

PMID18939963
PMCPMC2667644

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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.