Evidence map›Paper›PMID 27117339›Full record

ArticleJournal of experimental botany2016

Dynamic QTLs for sugars and enzyme activities provide an overview of genetic control of sugar metabolism during peach fruit development.

Elsa Desnoues, Valentina Baldazzi, Michel Génard, Jehan-Baptiste Mauroux, Patrick Lambert, Carole Confolent, Bénédicte Quilot-Turion

Open access · bronzeAbstract read
In one paragraph

Article in Journal of experimental botany, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.7field-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

31 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
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  5. Horticulture research · 2024
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  8. Detection of two homologous major QTLs and development of diagnostic molecular markers for sucrose content in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  19. Functional Analysis Reveals the Regulatory Role ofInternational journal of molecular sciences · 2020
    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

7 authors at 2 institutions in 1 country.

Elsa DesnouesGénétique et Amélioration des Fruits et Légumes, INRA, 84000 Avignon, France Plantes et Systèmes de Culture Horticoles, INRA, 84000 Avignon, France.
Valentina BaldazziPlantes et Systèmes de Culture Horticoles, INRA, 84000 Avignon, France.
Michel GénardPlantes et Systèmes de Culture Horticoles, INRA, 84000 Avignon, France.
Jehan-Baptiste MaurouxGénétique et Amélioration des Fruits et Légumes, INRA, 84000 Avignon, France.
Patrick LambertGénétique et Amélioration des Fruits et Légumes, INRA, 84000 Avignon, France.
Carole ConfolentGénétique et Amélioration des Fruits et Légumes, INRA, 84000 Avignon, France.
Bénédicte Quilot-TurionGénétique et Amélioration des Fruits et Légumes, INRA, 84000 Avignon, France benedicte.quilot@avignon.inra.fr.ORCID 0000-0003-4095-1399
Génétique et amélioration des fruits et légumes · FRPlantes et systèmes de culture horticoles · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the genetic control of sugar metabolism is essential to enhance fruit quality and promote fruit consumption. The sugar content and composition of fruits varies with species, cultivar and stage of development, and is controlled by multiple enzymes. A QTL (quantitative trait locus) study was performed on peach fruit [Prunus persica (L.) Batsch], the model species for Prunus Progeny derived from an interspecific cross between P. persica cultivars and P. davidiana was used. Dynamic QTLs for fresh weight, sugars, acids, and enzyme activities related to sugar metabolism were detected at different stages during fruit development. Changing effects of alleles during fruit growth were observed, including inversions close to maturity. This QTL analysis was supplemented by the identification of genes annotated on the peach genome as enzymes linked to sugar metabolism or sugar transporters. Several cases of co-locations between annotated genes, QTLs for enzyme activities and QTLs controlling metabolite concentrations were observed and discussed. These co-locations raise hypotheses regarding the functional regulation of sugar metabolism and pave the way for further analyses to enable the identification of the underlying genes. In conclusion, we identified the potential impact on fruit breeding of the modification of QTL effect close to maturity.

Indexed as

Carbohydrate MetabolismCrosses, GeneticFruitPrunus persicaQuantitative Trait LociDynamic QTLsenzymesfruitgenetic controlPrunus persicasugar metabolism.

Identifiers

PMID27117339
PMCPMC4892732
OpenAlexW2343648094

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.