Evidence map›Paper›PMID 29104519›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2017

Metabolite profiling of yam (

Elliott J Price, Ranjana Bhattacharjee, Antonio Lopez-Montes, Paul D Fraser

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Effects of dietaryFrontiers in nutrition · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Metabolome Profiling of Eight Chinese Yam (Life (Basel, Switzerland) · 2021
    Article
  7. Article
  8. TheFoods (Basel, Switzerland) · 2020
    Review
  9. Article
  10. Potential of Neglected and Underutilized Yams (Frontiers in pharmacology · 2020
    Review
  11. Article
  12. Crop metabolomics: from diagnostics to assisted breeding.Metabolomics : Official journal of the Metabolomic Society · 2018
    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

4 authors.

Elliott J PriceRoyal Holloway University of London, Egham, Surrey, TW20 0EX UK.ORCID 0000-0001-5691-7000
Ranjana BhattacharjeeInternational Institute of Tropical Agriculture, Oyo Road, PMB 5320 Ibadan, Nigeria.
Antonio Lopez-MontesInternational Institute of Tropical Agriculture, Oyo Road, PMB 5320 Ibadan, Nigeria.
Paul D FraserRoyal Holloway University of London, Egham, Surrey, TW20 0EX UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNinety-seven percent of yam (

objectivesMetabolomic screening has been undertaken on a diverse panel of

methodsPolar and lipophilic extracts from tubers of accessions from the global yam breeding program have been comprehensively profiled via gas chromatography-mass spectrometry.

resultsA visual pathway representation of the measured yam tuber metabolome has been delivered as a resource for biochemical evaluation of yam germplasm. Over 200 compounds were routinely measured in tubers, providing a major advance for the chemo-typing of this crop. Core biochemical redundancy concealed trends that were only elucidated following detailed mining of global metabolomics data. Combined analysis on leaf and tuber material identified a subset of metabolites which allow accurate species classification and highlighted the potential of predicting tuber composition from leaf profiles. Metabolic variation was accession-specific and often localised to compound classes, which will aid trait-targeting for metabolite markers.

conclusionsMetabolomics provides a standalone platform with potential to deliver near-future crop gains for yam. The approach compliments the genetic advancements currently underway and integration with other '-omics' studies will deliver a significant advancement to yam breeding strategies.

Indexed as

Crop breedingDioscoreaMetabolomicsNatural variationYam

Identifiers

PMID29104519
PMCPMC5641283

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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.