Evidence map›Paper›PMID 31354750›Full record

ReviewFrontiers in plant science2019

Fruit Salad in the Lab: Comparing Botanical Species to Help Deciphering Fruit Primary Metabolism.

Léa Roch, Zhanwu Dai, Eric Gomès, Stéphane Bernillon, Jiaojiao Wang, Yves Gibon, Annick Moing

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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 1 institution in 1 country.

Léa RochUMR1332 Biologie du Fruit et Pathologie, Centre INRA de Bordeaux, INRA, Université de Bordeaux, Bordeaux, France.
Zhanwu DaiUMR 1287 EGFV, INRA, Bordeaux Sciences Agro, Université de Bordeaux, Bordeaux, France.
Eric GomèsUMR 1287 EGFV, INRA, Bordeaux Sciences Agro, Université de Bordeaux, Bordeaux, France.
Stéphane BernillonUMR1332 Biologie du Fruit et Pathologie, Centre INRA de Bordeaux, INRA, Université de Bordeaux, Bordeaux, France.
Jiaojiao WangUMR1332 Biologie du Fruit et Pathologie, Centre INRA de Bordeaux, INRA, Université de Bordeaux, Bordeaux, France.
Yves GibonUMR1332 Biologie du Fruit et Pathologie, Centre INRA de Bordeaux, INRA, Université de Bordeaux, Bordeaux, France.
Annick MoingUMR1332 Biologie du Fruit et Pathologie, Centre INRA de Bordeaux, INRA, Université de Bordeaux, Bordeaux, France.
Université de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although fleshy fruit species are economically important worldwide and crucial for human nutrition, the regulation of their fruit metabolism remains to be described finely. Fruit species differ in the origin of the tissue constituting the flesh, duration of fruit development, coordination of ripening changes (climacteric vs. non-climacteric type) and biochemical composition at ripeness is linked to sweetness and acidity. The main constituents of mature fruit result from different strategies of carbon transport and metabolism. Thus, the timing and nature of phloem loading and unloading can largely differ from one species to another. Furthermore, accumulations and transformations of major soluble sugars, organic acids, amino acids, starch and cell walls are very variable among fruit species. Comparing fruit species therefore appears as a valuable way to get a better understanding of metabolism. On the one hand, the comparison of results of studies about species of different botanical families allows pointing the drivers of sugar or organic acid accumulation but this kind of comparison is often hampered by heterogeneous analysis approaches applied in each study and incomplete dataset. On the other hand, cross-species studies remain rare but have brought new insights into key aspects of primary metabolism regulation. In addition, new tools for multi-species comparisons are currently emerging, including meta-analyses or re-use of shared metabolic or genomic data, and comparative metabolic flux or process-based modeling. All these approaches contribute to the identification of the metabolic factors that influence fruit growth and quality, in order to adjust their levels with breeding or cultural practices, with respect to improving fruit traits.

Indexed as

amino acidscross-speciesfleshy fruitinter-speciesmetabolism regulationorganic acidsprimary metabolismsugars

Identifiers

PMID31354750
PMCPMC6632546
OpenAlexW2959902297

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.