Evidence map›Paper›PMID 25659383›Full record

ArticlePlant physiology2015

Relative mass defect filtering of mass spectra: a path to discovery of plant specialized metabolites.

E A Prabodha Ekanayaka, Mary Dawn Celiz, A Daniel Jones

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  7. Article
  8. Antimicrobial Activities ofMolecules (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Genome-wide association identifies a missing hydrolase for tocopherol synthesis in plants.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Article
  13. Opposing Effects ofMetabolites · 2021
    Article
  14. Article
  15. Article
  16. Rapid Screening of Forskolin-Type Diterpenoids ofMolecules (Basel, Switzerland) · 2019
    Article
  17. Review
  18. Article
  19. Article
  20. Mass Defect from Nuclear Physics to Mass Spectral Analysis.Journal of the American Society for Mass Spectrometry · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

E A Prabodha EkanayakaDepartment of Chemistry (E.A.P.E., A.D.J.) and Department of Biochemistry and Molecular Biology (M.D.C., A.D.J.), Michigan State University, East Lansing, Michigan 48824.
Mary Dawn CelizDepartment of Chemistry (E.A.P.E., A.D.J.) and Department of Biochemistry and Molecular Biology (M.D.C., A.D.J.), Michigan State University, East Lansing, Michigan 48824.
A Daniel JonesDepartment of Chemistry (E.A.P.E., A.D.J.) and Department of Biochemistry and Molecular Biology (M.D.C., A.D.J.), Michigan State University, East Lansing, Michigan 48824 jonesar4@msu.edu.ORCID http://orcid.org/0000-0002-7408-6690
Michigan State University · US

Funding

Advancing Drug Development from Medicinal Plants using Transcriptomics and MetaboRC2GM092521 · NIGMS · UNIVERSITY OF KENTUCKY · PI CHAPPELL, JOE, DELLAPENNA, DEAN · 2009 to 2010
$6.0M
NIGMS NIH HHS 1RC2 GM092521NIGMS NIH HHS RC2 GM092521
6 · The paper itself

Abstract

The rapid identification of novel plant metabolites and assignments of newly discovered substances to natural product classes present the main bottlenecks to defining plant specialized phenotypes. Although mass spectrometry provides powerful support for metabolite discovery by measuring molecular masses, ambiguities in elemental formulas often fail to reveal the biosynthetic origins of specialized metabolites detected using liquid chromatography-mass spectrometry. A promising approach for mining liquid chromatography-mass spectrometry metabolite profiling data for specific metabolite classes is achieved by calculating relative mass defects (RMDs) from molecular and fragment ions. This strategy enabled the rapid recognition of an extensive range of terpenoid metabolites in complex plant tissue extracts and is independent of retention time, abundance, and elemental formula. Using RMD filtering and tandem mass spectrometry data analysis, 24 novel elemental formulas corresponding to glycosylated sesquiterpenoid metabolites were identified in extracts of the wild tomato Solanum habrochaites LA1777 trichomes. Extensive isomerism was revealed by ultra-high-performance liquid chromatography, leading to evidence of more than 200 distinct sesquiterpenoid metabolites. RMD filtering led to the recognition of the presence of glycosides of two unusual sesquiterpenoid cores that bear limited similarity to known sesquiterpenes in the genus Solanum. In addition, RMD filtering is readily applied to existing metabolomics databases and correctly classified the annotated terpenoid metabolites in the public metabolome database for Catharanthus roseus.

Indexed as

MetabolomicsChromatography, High Pressure LiquidGlycosidesMetabolomePlant ExtractsPlant LeavesSesquiterpenesSoftwareSolanumTandem Mass SpectrometryTerpenesTrichomesGlycosidesPlant ExtractsSesquiterpenesTerpenes

Identifiers

PMID25659383
PMCPMC4378145
OpenAlexW2168443820

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.