Evidence map›Paper›PMID 33868339›Full record

ArticleFrontiers in plant science2021

Cross-Species Metabolic Profiling of Floral Specialized Metabolism Facilitates Understanding of Evolutional Aspects of Metabolism Among Brassicaceae Species.

Yuting Liu, Mutsumi Watanabe, Sayuri Yasukawa, Yuriko Kawamura, Chaiwat Aneklaphakij, Alisdair R Fernie, Takayuki Tohge

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  4. Review
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

7 authors at 3 institutions in 3 countries.

Yuting LiuGraduate School of Biological Science, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Mutsumi WatanabeGraduate School of Biological Science, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Sayuri YasukawaGraduate School of Biological Science, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Yuriko KawamuraGraduate School of Biological Science, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Chaiwat AneklaphakijGraduate School of Biological Science, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Alisdair R FernieMax-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
Takayuki TohgeGraduate School of Biological Science, Nara Institute of Science and Technology (NAIST), Ikoma, Japan.
Nara Institute of Science and Technology · JPMahidol University · THMax Planck Institute of Molecular Plant Physiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants produce a variety of floral specialized (secondary) metabolites with roles in several physiological functions, including light-protection, attraction of pollinators, and protection against herbivores. Pigments and volatiles synthesized in the petal have been focused on and characterized as major chemical factors influencing pollination. Recent advances in plant metabolomics have revealed that the major floral specialized metabolites found in land plant species are hydroxycinnamates, phenolamides, and flavonoids albeit these are present in various quantities and encompass diverse chemical structures in different species. Here, we analyzed numerous floral specialized metabolites in 20 different Brassicaceae genotypes encompassing both different species and in the case of crop species different cultivars including self-compatible (SC) and self-incompatible (SI) species by liquid chromatography-mass spectrometry (LC-MS). Of the 228 metabolites detected in flowers among 20 Brassicaceae species, 15 metabolite peaks including one phenylacyl-flavonoids and five phenolamides were detected and annotated as key metabolites to distinguish SC and SI plant species, respectively. Our results provide a family-wide metabolic framework and delineate signatures for compatible and incompatible genotypes thereby providing insight into evolutionary aspects of floral metabolism in Brassicaceae species.

Indexed as

Brassicaceaechemodiversitycompatible and incompatible speciescross-species comparisonflavonoidsfloral specialized metaboliteplant metabolomics

Identifiers

PMID33868339
PMCPMC8045754
OpenAlexW3140042874

What OpenQuestion holds

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LicenceCC BY
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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.