Evidence map›Paper›PMID 26847260›Full record

ArticleScientific reports2016

Use of metabolomics for the chemotaxonomy of legume-associated Ascochyta and allied genera.

Wonyong Kim, Tobin L Peever, Jeong-Jin Park, Chung-Min Park, David R Gang, Ming Xian, Jenny A Davidson, Alessandro Infantino, Walter J Kaiser, Weidong Chen

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Uncovering Phytotoxic Compounds Produced byJournal of fungi (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Review
  8. Polyphasic Systematics of the Fungicolous GenusJournal of fungi (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Two unusual conjugated fatty acids, parinaric acid and α-eleostearic acid, are present in severalPhysiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Ultra-Clean Pure ShiftScientific reports · 2019
    Article
  15. Article
  16. 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

10 authors.

Wonyong KimDepartment of Plant Pathology, Washington State University, Pullman, WA 99164, USA.
Tobin L PeeverDepartment of Plant Pathology, Washington State University, Pullman, WA 99164, USA.
Jeong-Jin ParkInstitute of Biological Chemistry, Washington State University, Pullman, WA 99164, USA.
Chung-Min ParkDepartment of Chemistry, Washington State University, Pullman, WA 99164, USA.
David R GangInstitute of Biological Chemistry, Washington State University, Pullman, WA 99164, USA.
Ming XianDepartment of Chemistry, Washington State University, Pullman, WA 99164, USA.
Jenny A DavidsonSouth Australian Research and Development Institute, Adelaide, South Australia 5001, Australia.
Alessandro InfantinoConsiglio per la Ricerca in Agricoltura e l'analisi dell'economia agraria (CREA), Centro di Ricerca per la Patologia Vegetale, Rome, 00156, Italy.
Walter J KaiserUSDA-ARS Western Regional Plant Introduction Station, Washington State University, Pullman, WA 99164, USA.
Weidong ChenDepartment of Plant Pathology, Washington State University, Pullman, WA 99164, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotaxonomy and the comparative analysis of metabolic features of fungi have the potential to provide valuable information relating to ecology and evolution, but have not been fully explored in fungal biology. Here, we investigated the chemical diversity of legume-associated Ascochyta and Phoma species and the possible use of a metabolomics approach using liquid chromatography-mass spectrometry for their classification. The metabolic features of 45 strains including 11 known species isolated from various legumes were extracted, and the datasets were analyzed using chemometrics methods such as principal component and hierarchical clustering analyses. We found a high degree of intra-species consistency in metabolic profiles, but inter-species diversity was high. Molecular phylogenies of the legume-associated Ascochyta/Phoma species were estimated using sequence data from three protein-coding genes and the five major chemical groups that were detected in the hierarchical clustering analysis were mapped to the phylogeny. Clusters based on similarity of metabolic features were largely congruent with the species phylogeny. These results indicated that evolutionarily distinct fungal lineages have diversified their metabolic capacities as they have evolved independently. This whole metabolomics approach may be an effective tool for chemotaxonomy of fungal taxa lacking information on their metabolic content.

Indexed as

MetabolomicsAscomycotaBayes TheoremChitin SynthaseChromatography, High Pressure LiquidCluster AnalysisDNA, FungalFabaceaeFungal ProteinsGlyceraldehyde-3-Phosphate DehydrogenasesMetabolomePeptide Elongation Factor 1Peptide FragmentsPhylogenyPrincipal Component AnalysisSequence Analysis, DNAChitin SynthaseDNA, FungalFungal Proteinsglyceraldehyde 3-phosphate dehydrogenase (304-313)Glyceraldehyde-3-Phosphate DehydrogenasesPeptide Elongation Factor 1Peptide Fragments

Identifiers

PMID26847260
PMCPMC4742866

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.