Evidence map›Paper›PMID 38755652›Full record

ArticlePlant methods2024

Image analysis and polyphenol profiling unveil red-flesh apple phenotype complexity.

Pierre Bouillon, Anne-Laure Fanciullino, Etienne Belin, Dimitri Bréard, Séverine Boisard, Béatrice Bonnet, Sylvain Hanteville, Frédéric Bernard, Jean-Marc Celton

Abstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. The potential of red-fleshed apples for cider production.Comprehensive reviews in food science and food safety · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Article
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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

9 authors.

Pierre BouillonUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 , Angers, France.
Anne-Laure FanciullinoUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 , Angers, France.
Etienne BelinUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 , Angers, France.
Dimitri BréardSONAS, SFR QUASAVUniv Angers, SONAS, SFR QUASAV, Univ Angers, F-49000, Angers, France.
Séverine BoisardSONAS, SFR QUASAVUniv Angers, SONAS, SFR QUASAV, Univ Angers, F-49000, Angers, France.
Béatrice BonnetUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 , Angers, France.
Sylvain HantevilleUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 , Angers, France.
Frédéric BernardIFO, 49140, Seiches sur le Loir, France.
Jean-Marc CeltonUniv Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, F-49000 , Angers, France. jean-marc.celton@inrae.fr.

Funding

ANRT, IFO and IRHS CIFRE convention N° 2021/0182
6 · The paper itself

Abstract

backgroundThe genetic basis of colour development in red-flesh apples (Malus domestica Borkh) has been widely characterised; however, current models do not explain the observed variations in red pigmentation intensity and distribution. Available methods to evaluate the red-flesh trait rely on the estimation of an average overall colour using a discrete class notation index. However, colour variations among red-flesh cultivars are continuous while development of red colour is non-homogeneous and genotype-dependent. A robust estimation of red-flesh colour intensity and distribution is essential to fully capture the diversity among genotypes and provide a basis to enable identification of loci influencing the red-flesh trait.

resultsIn this study, we developed a multivariable approach to evaluate the red-flesh trait in apple. This method was implemented to study the phenotypic diversity in a segregating hybrid F1 family (91 genotypes). We developed a Python pipeline based on image and colour analysis to quantitatively dissect the red-flesh pigmentation from RGB (Red Green Blue) images and compared the efficiency of RGB and CIEL*a*b* colour spaces in discriminating genotypes previously classified with a visual notation. Chemical destructive methods, including targeted-metabolite analysis using ultra-high performance liquid chromatography with ultraviolet detection (UPLC-UV), were performed to quantify major phenolic compounds in fruits' flesh, as well as pH and water contents. Multivariate analyses were performed to study covariations of biochemical factors in relation to colour expression in CIEL*a*b* colour space. Our results indicate that anthocyanin, flavonol and flavanol concentrations, as well as pH, are closely related to flesh pigmentation in apple. CONCLUSTION: Extraction of colour descriptors combined to chemical analyses helped in discriminating genotypes in relation to their flesh colour. These results suggest that the red-flesh trait in apple is a complex trait associated with several biochemical factors.

Indexed as

Image analysisMalus domesticaPhenolic compoundsRed-flesh

Identifiers

PMID38755652
PMCPMC11100172

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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.