Evidence map›Paper›PMID 27729832›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2016

Fortune telling: metabolic markers of plant performance.

Olivier Fernandez, Maria Urrutia, Stéphane Bernillon, Catherine Giauffret, François Tardieu, Jacques Le Gouis, Nicolas Langlade, Alain Charcosset, Annick Moing, Yves Gibon

Abstract readReview
In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Multi-omics assists genomic prediction of maize yield with machine learning approaches.Molecular breeding : new strategies in plant improvement · 2024
    Article
  9. Plant Metabolomics: Current Initiatives and Future Prospects.Current issues in molecular biology · 2023
    Review
  10. Review
  11. Article
  12. Review
  13. Morpho-physiological and biochemical responses of cotton (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. How do plants defend themselves against pathogens-Biochemical mechanisms and genetic interventions.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  18. Review
  19. Does phenotyping ofFrontiers in plant science · 2022
    Review
  20. Phenomic Selection: A New and Efficient Alternative to Genomic Selection.Methods in molecular biology (Clifton, N.J.) · 2022
    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

10 authors.

Olivier FernandezUMR 1332 Biologie du Fruit et Pathologie, INRA, Centre INRA de Bordeaux, 71 av Edouard Bourlaux, 33140 Villenave d'Ornon, France.ORCID 0000-0002-4432-976X
Maria UrrutiaUMR 1332 Biologie du Fruit et Pathologie, INRA, Centre INRA de Bordeaux, 71 av Edouard Bourlaux, 33140 Villenave d'Ornon, France.
Stéphane BernillonUMR 1332 Biologie du Fruit et Pathologie, INRA, Centre INRA de Bordeaux, 71 av Edouard Bourlaux, 33140 Villenave d'Ornon, France ; Plateforme Métabolome Bordeaux, CGFB, MetaboHUB-PHENOME, 33140 Villenave d'Ornon, France.
Catherine GiauffretUMR AgroImpact, INRA, Estrées-Mons, 80203 Péronne, France.
François TardieuUMR LEPSE, INRA, Montpellier SupAgro, 34000 Montpellier, France.
Jacques Le GouisUMR GDEC, INRA, UBP, 63039 Clermont-Ferrand, France.
Nicolas LangladeUMR LIPM, INRA, CNRS, Université de Toulouse, 31326 Castanet-Tolosan, France.
Alain CharcossetUMR GQE, INRA, CNRS, Université Paris Sud, AgroParisTech, Ferme du Moulon, 91190 Gif-Sur-Yvette, France.
Annick MoingUMR 1332 Biologie du Fruit et Pathologie, INRA, Centre INRA de Bordeaux, 71 av Edouard Bourlaux, 33140 Villenave d'Ornon, France ; Plateforme Métabolome Bordeaux, CGFB, MetaboHUB-PHENOME, 33140 Villenave d'Ornon, France.
Yves GibonUMR 1332 Biologie du Fruit et Pathologie, INRA, Centre INRA de Bordeaux, 71 av Edouard Bourlaux, 33140 Villenave d'Ornon, France ; Plateforme Métabolome Bordeaux, CGFB, MetaboHUB-PHENOME, 33140 Villenave d'Ornon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the last decade, metabolomics has emerged as a powerful diagnostic and predictive tool in many branches of science. Researchers in microbes, animal, food, medical and plant science have generated a large number of targeted or non-targeted metabolic profiles by using a vast array of analytical methods (GC-MS, LC-MS, AIM OF REVIEW: (i) To provide a definition of plant performance and metabolic markers, (ii) to highlight recent key applications involving metabolic markers as tools for monitoring or predicting plant performance, and (iii) to propose a workable and cost-efficient pipeline to generate and use metabolic markers with a special focus on plant breeding. KEY MESSAGE: Using examples in other models and domains, the review proposes that metabolic markers are tending to complement and possibly replace traditional molecular markers in plant science as efficient estimators of performance.

Indexed as

BreedingMetabolic markerMetabolomicsPlant performancePrediction

Identifiers

PMID27729832
PMCPMC5025497

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.