Evidence map›Paper›PMID 35498703›Full record

ArticleFrontiers in plant science2022

Untargeted Metabolomics Sheds Light on the Diversity of Major Classes of Secondary Metabolites in the Malpighiaceae Botanical Family.

Helena Mannochio-Russo, Rafael F de Almeida, Wilhan D G Nunes, Paula C P Bueno, Andrés M Caraballo-Rodríguez, Anelize Bauermeister, Pieter C Dorrestein, Vanderlan S Bolzani

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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  8. plantMASST - Community-driven chemotaxonomic digitization of plants.bioRxiv : the preprint server for biology · 2024
    Article
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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

8 authors.

Helena Mannochio-RussoNuBBE, Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil.
Rafael F de AlmeidaRoyal Botanical Gardens Kew, Science, Ecosystem Stewardship, Diversity and Livelihoods, Richmond, United Kingdom.
Wilhan D G NunesFederal Institute of Education, Science and Technology of Rondônia (IFRO), Ji-Paraná, Brazil.
Paula C P BuenoMax Planck Institute of Molecular Plant Physiology, Potsdam, Germany.
Andrés M Caraballo-RodríguezCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, United States.
Anelize BauermeisterCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, United States.
Pieter C DorresteinCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, United States.
Vanderlan S BolzaniNuBBE, Department of Biochemistry and Organic Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil.

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2012 to 2018
$8.7M
Unified Computation Tools for Natural Products ResearchR01GM107550 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COTTRELL, GARRISON W, GERWICK, WILLIAM HENRY · 2013 to 2025
$8.2M
NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM107550
6 · The paper itself

Abstract

Natural products produced by plants are one of the most investigated natural sources, which substantially contributed to the development of the natural products field. Even though these compounds are widely explored, the literature still lacks comprehensive investigations aiming to explore the evolution of secondary metabolites produced by plants, especially if classical methodologies are employed. The development of sensitive hyphenated techniques and computational tools for data processing has enabled the study of large datasets, being valuable assets for chemosystematic studies. Here, we describe a strategy for chemotaxonomic investigations using the Malpighiaceae botanical family as a model. Our workflow was based on MS/MS untargeted metabolomics, spectral searches, and recently described

Indexed as

ancestral character reconstructionchemotaxonomyevolutionmalpighialesmass spectrometrymetabolite annotationmetabolomicssystematics

Identifiers

PMID35498703
PMCPMC9047359

What OpenQuestion holds

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Registered trials

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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.