Evidence map›Paper›PMID 32592486›Full record

ArticleJournal of experimental botany2020

Biomass composition explains fruit relative growth rate and discriminates climacteric from non-climacteric species.

Léa Roch, Sylvain Prigent, Holger Klose, Coffi-Belmys Cakpo, Bertrand Beauvoit, Catherine Deborde, Laetitia Fouillen, Pierre van Delft, Daniel Jacob, Björn Usadel and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of experimental botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.3field-weighted citation impact, top 4% of its field
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

18 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
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  8. Metabolite quantification data based onBMC research notes · 2024
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  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Genotype determinesFrontiers in plant science · 2022
    Article
  16. Review
  17. Review
  18. 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

16 authors at 4 institutions in 2 countries.

Léa RochUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Sylvain PrigentUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Holger KloseInstitute for Biology, BioSC, RWTH Aachen University, Worringer Weg, Aachen, Germany.
Coffi-Belmys CakpoUR 1115 PSH, INRAE, Avignon Cedex 9, France.
Bertrand BeauvoitUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Catherine DebordeUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Laetitia FouillenBordeaux Metabolome, MetaboHUB, INRAE, Univ. Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Pierre van DelftBordeaux Metabolome, MetaboHUB, INRAE, Univ. Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Daniel JacobUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Björn UsadelInstitute for Biology, BioSC, RWTH Aachen University, Worringer Weg, Aachen, Germany.
Zhanwu DaiUMR 1287 EGFV, INRAE, Univ. Bordeaux, Bordeaux Sci Agro, Villenave d'Ornon, France.
Michel GénardUR 1115 PSH, INRAE, Avignon Cedex 9, France.
Gilles VercambreUR 1115 PSH, INRAE, Avignon Cedex 9, France.
Sophie ColombiéUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Annick MoingUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Yves GibonUMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France.
Université de Bordeaux · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRCentre National de la Recherche Scientifique · FRForschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fleshy fruits are very varied, whether in terms of their composition, physiology, or rate and duration of growth. To understand the mechanisms that link metabolism to phenotypes, which would help the targeting of breeding strategies, we compared eight fleshy fruit species during development and ripening. Three herbaceous (eggplant, pepper, and cucumber), three tree (apple, peach, and clementine) and two vine (kiwifruit and grape) species were selected for their diversity. Fruit fresh weight and biomass composition, including the major soluble and insoluble components, were determined throughout fruit development and ripening. Best-fitting models of fruit weight were used to estimate relative growth rate (RGR), which was significantly correlated with several biomass components, especially protein content (R=84), stearate (R=0.72), palmitate (R=0.72), and lignocerate (R=0.68). The strong link between biomass composition and RGR was further evidenced by generalized linear models that predicted RGR with R-values exceeding 0.9. Comparison of the fruit also showed that climacteric fruit (apple, peach, kiwifruit) contained more non-cellulosic cell-wall glucose and fucose, and more starch, than non-climacteric fruit. The rate of starch net accumulation was also higher in climacteric fruit. These results suggest that the way biomass is constructed has a major influence on performance, especially growth rate.

Indexed as

ActinidiaClimactericBiomassEthylenesFruitPlant BreedingEthylenesBiomass compositionclimactericfruitmetabolismmetaphenomicsmodellingrelative growth rate

Identifiers

PMID32592486
PMCPMC7540837
OpenAlexW3037721512

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.