Evidence map›Paper›PMID 30874619›Full record

ArticleScientific reports2019

Metabolite profiling characterises chemotypes of Musa diploids and triploids at juvenile and pre-flowering growth stages.

Margit Drapal, Elisabete Barros de Carvalho, Mathieu Rouard, Delphine Amah, Julie Sardos, Ines Van den Houwe, Allan Brown, Nicolas Roux, Rony Swennen, Paul D Fraser

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Diversity Analysis of Banana Cultivars (Current issues in molecular biology · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

10 authors.

Margit DrapalSchool of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK.
Elisabete Barros de CarvalhoSchool of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK.
Mathieu RouardBioversity France, Parc Scientifique Agropolis II, 34397, Montpellier, Cedex 5, France.ORCID 0000-0003-0284-1885
Delphine AmahInternational Institute of Tropical Agriculture, Ibadan, Nigeria.
Julie SardosBioversity France, Parc Scientifique Agropolis II, 34397, Montpellier, Cedex 5, France.
Ines Van den HouweInternational Institute of Tropical Agriculture, Ibadan, Nigeria.
Allan BrownInternational Institute of Tropical Agriculture, Arusha, Tanzania.
Nicolas RouxBioversity France, Parc Scientifique Agropolis II, 34397, Montpellier, Cedex 5, France.
Rony SwennenInternational Institute of Tropical Agriculture, Arusha, Tanzania.
Paul D FraserSchool of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK. P.Fraser@rhul.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bananas (Musa spp.) are consumed worldwide as dessert and cooking types. Edible banana varieties are for the most part seedless and sterile and therefore vegetatively propagated. This confers difficulties for breeding approaches against pressing biotic and abiotic threats and for the nutritional enhancement of banana pulp. A panel of banana accessions, representative of the diversity of wild and cultivated bananas, was analysed to assess the range of chemotypes available globally. The focus of this assessment was banana leaves at two growth stages (juvenile and pre-flowering), to see when during the plant growth metabolic differences can be established. The metabolic data corresponded to genomic trends reported in previous studies and demonstrated a link between metabolites/pathways and the genomes of M. acuminata and M. balbisiana. Furthermore, the vigour and resistance traits of M. balbisiana was connected to the phenolic composition and showed differences with the number of B genes in the hybrid accessions. Differences in the juvenile and pre-flowering data led to low correlation between the growth stages for prediction purposes.

Indexed as

BreedingDiploidyDNA, PlantGenetic VariationGenome, PlantGenotypeHybridization, GeneticMusaPhenotypePhylogenyPlant LeavesTriploidyDNA, Plant

Identifiers

PMID30874619
PMCPMC6420674

What OpenQuestion holds

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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.