Evidence map›Paper›PMID 31845400›Full record

ArticleThe Plant journal : for cell and molecular biology2020

Metabolite database for root, tuber, and banana crops to facilitate modern breeding in understudied crops.

Elliott J Price, Margit Drapal, Laura Perez-Fons, Delphine Amah, Ranjana Bhattacharjee, Bettina Heider, Mathieu Rouard, Rony Swennen, Luis Augusto Becerra Lopez-Lavalle, Paul D Fraser

Erratum issuedAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. The chemotype core collection of genus Nicotiana.The Plant journal : for cell and molecular biology · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Metabolome Profiling of Eight Chinese Yam (Life (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Correction.The Plant journal : for cell and molecular biology · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Elliott J PriceRoyal Holloway University of London, Surrey, TW20 0EX, Egham, United Kingdom.ORCID 0000-0001-5691-7000
Margit DrapalRoyal Holloway University of London, Surrey, TW20 0EX, Egham, United Kingdom.ORCID 0000-0001-9586-8328
Laura Perez-FonsRoyal Holloway University of London, Surrey, TW20 0EX, Egham, United Kingdom.ORCID 0000-0002-8567-7074
Delphine AmahInternational Institute of Tropical Agriculture, PMB 5320, Ibadan, Nigeria.ORCID 0000-0002-5706-8773
Ranjana BhattacharjeeInternational Institute of Tropical Agriculture, PMB 5320, Ibadan, Nigeria.ORCID 0000-0002-5184-5930
Bettina HeiderInternational Potato Center, La Molina, CP 1558, Lima, Peru.ORCID 0000-0002-9792-8512
Mathieu RouardBioversity International, Parc Scientifique Agropolis II, 34397, Montpellier, France.ORCID 0000-0003-0284-1885
Rony SwennenLaboratory of Tropical Crop Improvement, Division of Crop Biotechnics, KU Leuven, B-3001, Leuven, Belgium.ORCID 0000-0002-5258-9043
Luis Augusto Becerra Lopez-LavalleInternational Center for Tropical Agriculture, CP 763537, Cali, Colombia.ORCID 0000-0003-3520-2270
Paul D FraserRoyal Holloway University of London, Surrey, TW20 0EX, Egham, United Kingdom.ORCID 0000-0002-5953-8900

Funding

Bill & Melinda Gates Foundation OPP1058938Biotechnology and Biological Sciences Research Council 1638827
6 · The paper itself

Abstract

Roots, tubers, and bananas (RTB) are vital staples for food security in the world's poorest nations. A major constraint to current RTB breeding programmes is limited knowledge on the available diversity due to lack of efficient germplasm characterization and structure. In recent years large-scale efforts have begun to elucidate the genetic and phenotypic diversity of germplasm collections and populations and, yet, biochemical measurements have often been overlooked despite metabolite composition being directly associated with agronomic and consumer traits. Here we present a compound database and concentration range for metabolites detected in the major RTB crops: banana (Musa spp.), cassava (Manihot esculenta), potato (Solanum tuberosum), sweet potato (Ipomoea batatas), and yam (Dioscorea spp.), following metabolomics-based diversity screening of global collections held within the CGIAR institutes. The dataset including 711 chemical features provides a valuable resource regarding the comparative biochemical composition of each RTB crop and highlights the potential diversity available for incorporation into crop improvement programmes. Particularly, the tropical crops cassava, sweet potato and banana displayed more complex compositional metabolite profiles with representations of up to 22 chemical classes (unknowns excluded) than that of potato, for which only metabolites from 10 chemical classes were detected. Additionally, over 20% of biochemical signatures remained unidentified for every crop analyzed. Integration of metabolomics with the on-going genomic and phenotypic studies will enhance 'omics-wide associations of molecular signatures with agronomic and consumer traits via easily quantifiable biochemical markers to aid gene discovery and functional characterization.

Indexed as

Databases as TopicMetabolomePlant BreedingCrops, AgriculturalMetabolomicsMusaPlant RootsPlant TubersBanana and plantain (Musa spp.)cassava (Manihot esculenta)genebanksmetabolomicsmodern breedingpotato (Solanum tuberosum)sweet potato (Ipomoea batatas)yam (Dioscorea spp.)

Identifiers

PMID31845400
PMCPMC7383867

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.