Evidence map›Paper›PMID 29718072›Full record

ReviewAnnals of botany2018

Putting primary metabolism into perspective to obtain better fruits.

Bertrand Beauvoit, Isma Belouah, Nadia Bertin, Coffi Belmys Cakpo, Sophie Colombié, Zhanwu Dai, Hélène Gautier, Michel Génard, Annick Moing, Léa Roch and 2 more

Abstract readReview
In one paragraph

Review in Annals of botany, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
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  9. Nutraceutical Profile Characterization in Apricot (Plants (Basel, Switzerland) · 2025
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  11. Review
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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

12 authors.

Bertrand BeauvoitUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon, France.
Isma BelouahUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon, France.
Nadia BertinUR 1115 PSH, INRA, Avignon Cedex 9, France.
Coffi Belmys CakpoUR 1115 PSH, INRA, Avignon Cedex 9, France.
Sophie ColombiéUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon, France.
Zhanwu DaiUMR 1287 EGFV, INRA, Univ. Bordeaux, Bordeaux Sci Agro, F-Villenave d'Ornon, France.
Hélène GautierUR 1115 PSH, INRA, Avignon Cedex 9, France.
Michel GénardUR 1115 PSH, INRA, Avignon Cedex 9, France.
Annick MoingUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon, France.
Léa RochUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon, France.
Gilles VercambreUR 1115 PSH, INRA, Avignon Cedex 9, France.
Yves GibonUMR 1332 BFP, INRA, Univ. Bordeaux, Villenave d'Ornon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the key goals of fruit biology is to understand the factors that influence fruit growth and quality, ultimately with a view to manipulating them for improvement of fruit traits. Scope: Primary metabolism, which is not only essential for growth but is also a major component of fruit quality, is an obvious target for improvement. However, metabolism is a moving target that undergoes marked changes throughout fruit growth and ripening. Conclusions: Agricultural practice and breeding have successfully improved fruit metabolic traits, but both face the complexity of the interplay between development, metabolism and the environment. Thus, more fundamental knowledge is needed to identify further strategies for the manipulation of fruit metabolism. Nearly two decades of post-genomics approaches involving transcriptomics, proteomics and/or metabolomics have generated a lot of information about the behaviour of fruit metabolic networks. Today, the emergence of modelling tools is providing the opportunity to turn this information into a mechanistic understanding of fruits, and ultimately to design better fruits. Since high-quality data are a key requirement in modelling, a range of must-have parameters and variables is proposed.

Indexed as

Metabolic Networks and PathwaysModels, BiologicalAgricultureCrops, AgriculturalFruitMetabolomicsPlant DevelopmentPlantsProteomics

Identifiers

PMID29718072
PMCPMC6025238

What OpenQuestion holds

Textmetadata
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.