Evidence map›Paper›PMID 30830392›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Metabolic fingerprinting analysis of oil palm reveals a set of differentially expressed metabolites in fatal yellowing symptomatic and non-symptomatic plants.

Jorge Candido Rodrigues-Neto, Mauro Vicentini Correia, Augusto Lopes Souto, José Antônio de Aquino Ribeiro, Letícia Rios Vieira, Manoel Teixeira Souza, Clenilson Martins Rodrigues, Patrícia Verardi Abdelnur

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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. 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
0.8field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Unveiling the Secrets of Oil Palm Genetics: A Look into Omics Research.International journal of molecular sciences · 2024
    Review
  3. Article
  4. Osmoprotectants play a major role in theFrontiers in plant science · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Predictive Modeling for Metabolomics Data.Methods in molecular biology (Clifton, N.J.) · 2020
    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

8 authors at 4 institutions in 2 countries.

Jorge Candido Rodrigues-NetoBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
Mauro Vicentini CorreiaBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
Augusto Lopes SoutoBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
José Antônio de Aquino RibeiroBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
Letícia Rios VieiraBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
Manoel Teixeira SouzaBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
Clenilson Martins RodriguesBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil.
Patrícia Verardi AbdelnurBrazilian Agricultural Research Corporation, Embrapa Agroenergy, W3 Norte, PqEB, Brasília, DF, 70770-901, Brazil. patricia.abdelnur@embrapa.br.
Brazilian Agricultural Research Corporation · BRUniversidade Federal de Goiás · BRInstitute of Physics · AZUniversidade Federal de Lavras · BR

Funding

Financiadora de Estudos e Projetos 01.13.0315.02
6 · The paper itself

Abstract

introductionOil palm (E. guineensis), the most consumed vegetable oil in the world, is affected by fatal yellowing (FY), a condition that can lead to the plant's death. Although studies have been performed since the 1980s, including investigations of biotic and abiotic factors, FY's cause remains unknown and efforts in researches are still necessary.

objectivesThis work aims to investigate the metabolic expression in plants affected by FY using an untargeted metabolomics approach.

methodMetabolic fingerprinting analysis of oil palm leaves was performed using ultra high liquid chromatography-electrospray ionization-mass spectrometry (UHPLC-ESI-MS). Chemometric analysis, using principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA), was applied to data analysis. Metabolites identification was performed by high resolution mass spectrometry (HRMS), MS/MS experiments and comparison with databases and literature.

resultsMetabolomics analysis based on MS detected more than 50 metabolites in oil palm leaf samples. PCA and PLS-DS analysis provided group segregation and classification of symptomatic and non-symptomatic FY samples, with a great external validation of the results. Nine differentially expressed metabolites were identified as glycerophosphorylcholine, arginine, asparagine, apigenin 6,8-di-C-hexose, tyramine, chlorophyllide, 1,2-dihexanoyl-sn-glycero-3-phosphoethanolamine, proline and malvidin 3-glucoside-5-(6″-malonylglucoside). Metabolic pathways and biological importance of those metabolites were assigned.

conclusionNine metabolites were detected in a higher concentration in non-symptomatic FY plants. Seven are related to stress factors i.e. plant defense and nutrient absorption, which can be affected by the metabolic depression of these compounds. Two of those metabolites (glycerophosphorylcholine and 1,2-dihexanoyl-sn-glycero-3-phosphoethanolamine) are presented as potential biomarkers, since they have no known direct relation to plant stress.

Indexed as

MetabolomicsPlant DiseasesArecaceaeChromatography, High Pressure LiquidLeast-Squares AnalysisPalm OilPlant LeavesPrincipal Component AnalysisSpectrometry, Mass, Electrospray IonizationPalm OilBiomarkersChemometricsFatal yellowingHigh resolution mass spectrometryMetabolomicsOil palm

Identifiers

PMID30830392
OpenAlexW2896938773

What OpenQuestion holds

Textmetadata
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.