Evidence map›Paper›PMID 27821729›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Illuminating a plant's tissue-specific metabolic diversity using computational metabolomics and information theory.

Dapeng Li, Sven Heiling, Ian T Baldwin, Emmanuel Gaquerel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Plant sesquiterpene lactones.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. Article
  8. Article
  9. Nitrogen and sulfur for phosphorus: Lipidome adaptation of anaerobic sulfate-reducing bacteria in phosphorus-deprived conditions.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Metabolome Profiling ofInternational journal of molecular sciences · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

4 authors.

Dapeng LiDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, 07745 Jena, Germany.
Sven HeilingDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, 07745 Jena, Germany.
Ian T BaldwinDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, 07745 Jena, Germany.
Emmanuel GaquerelDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, 07745 Jena, Germany; emmanuel.gaquerel@cos.uni-heidelberg.de.ORCID 0000-0003-0796-6417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary metabolite diversity is considered an important fitness determinant for plants' biotic and abiotic interactions in nature. This diversity can be examined in two dimensions. The first one considers metabolite diversity across plant species. A second way of looking at this diversity is by considering the tissue-specific localization of pathways underlying secondary metabolism within a plant. Although these cross-tissue metabolite variations are increasingly regarded as important readouts of tissue-level gene function and regulatory processes, they have rarely been comprehensively explored by nontargeted metabolomics. As such, important questions have remained superficially addressed. For instance, which tissues exhibit prevalent signatures of metabolic specialization? Reciprocally, which metabolites contribute most to this tissue specialization in contrast to those metabolites exhibiting housekeeping characteristics? Here, we explore tissue-level metabolic specialization in Nicotiana attenuata, an ecological model with rich secondary metabolism, by combining tissue-wide nontargeted mass spectral data acquisition, information theory analysis, and tandem MS (MS/MS) molecular networks. This analysis was conducted for two different methanolic extracts of 14 tissues and deconvoluted 895 nonredundant MS/MS spectra. Using information theory analysis, anthers were found to harbor the most specialized metabolome, and most unique metabolites of anthers and other tissues were annotated through MS/MS molecular networks. Tissue-metabolite association maps were used to predict tissue-specific gene functions. Predictions for the function of two UDP-glycosyltransferases in flavonoid metabolism were confirmed by virus-induced gene silencing. The present workflow allows biologists to amortize the vast amount of data produced by modern MS instrumentation in their quest to understand gene function.

Indexed as

Information TheoryGene Regulatory NetworksGlycosyltransferasesMetabolomicsMethanolNicotianaOrgan SpecificityPlant ProteinsSecondary MetabolismTandem Mass SpectrometryGlycosyltransferasesMethanolPlant Proteinsinformation theorymass spectrometrymetabolomicsNicotiana attenuatasecondary metabolism

Identifiers

PMID27821729
PMCPMC5127351

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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.