Evidence map›Paper›PMID 26170304›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Navigating natural variation in herbivory-induced secondary metabolism in coyote tobacco populations using MS/MS structural analysis.

Dapeng Li, 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, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A persistent major mutation in canonical jasmonate signaling is embedded in an herbivory-elicited gene network.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. The downside of metabolic diversity: Postingestive rearrangements by specialized insects.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Neutral Loss Mass Spectral Data Enhances Molecular Similarity Analysis in METLIN.Journal of the American Society for Mass Spectrometry · 2022
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Current Challenges in Plant Eco-Metabolomics.International journal of molecular sciences · 2018
    Review
  18. Article
  19. Article
  20. Plant physiology · 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.

Dapeng LiDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany;
Ian T BaldwinDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany;
Emmanuel GaquerelDepartment of Molecular Ecology, Max Planck Institute for Chemical Ecology, D-07745 Jena, Germany; Centre for Organismal Studies, University of Heidelberg, 69120 Heidelberg, Germany emmanuel.gaquerel@cos.uni-heidelberg.de.

Funding

European Research Council 293926
6 · The paper itself

Abstract

Natural variation can be extremely useful in unraveling the determinants of phenotypic trait evolution but has rarely been analyzed with unbiased metabolic profiling to understand how its effects are organized at the level of biochemical pathways. Native populations of Nicotiana attenuata, a wild tobacco species, have been shown to be highly genetically diverse for traits important for their interactions with insects. To resolve the chemodiversity existing in these populations, we developed a metabolomics and computational pipeline to annotate leaf metabolic responses to Manduca sexta herbivory. We selected seeds from 43 accessions of different populations from the southwestern United States--including the well-characterized Utah 30th generation inbred accession--and grew 183 plants in the glasshouse for standardized herbivory elicitation. Metabolic profiles were generated from elicited leaves of each plant using a high-throughput ultra HPLC (UHPLC)-quadrupole TOFMS (qTOFMS) method, processed to systematically infer covariation patterns among biochemically related metabolites, as well as unknown ones, and finally assembled to map natural variation. Navigating this map revealed metabolic branch-specific variations that surprisingly only partly overlapped with jasmonate accumulation polymorphisms and deviated from canonical jasmonate signaling. Fragmentation analysis via indiscriminant tandem mass spectrometry (idMS/MS) was conducted with 10 accessions that spanned a large proportion of the variance found in the complete accession dataset, and compound spectra were computationally assembled into spectral similarity networks. The biological information captured by this networking approach facilitates the mining of the mass spectral data of unknowns with high natural variation, as demonstrated by the annotation of a strongly herbivory-inducible phenolic derivative, and can guide pathway analysis.

Indexed as

HerbivorySecondary MetabolismTandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidCluster AnalysisCyclopentanesGenetic VariationGeographyInsectaMetabolomicsNicotianaOxylipinsPhenotypePlant LeavesPlant ProteinsCyclopentanesjasmonic acidOxylipinsPlant Proteinsmass spectrometrymetabolomicsnatural variationplant–insect interactions

Identifiers

PMID26170304
PMCPMC4522797

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.