Evidence map›Paper›PMID 39095669›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Hernawan Yuli Rahmadi, Muhamad Syukur, Widodo, Willy Bayuardi Suwarno, Sri Wening, Arfan Nazhri Simamora, Syarul Nugroho

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Scientific reports · 2025
    Article
  3. Review
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.

Hernawan Yuli RahmadiAgronomy and Horticulture Department, IPB University, Jl. Raya Dramaga, Bogor, West Java, 16680, Indonesia. hernawan.rahmadi@gmail.com.
Muhamad SyukurAgronomy and Horticulture Department, IPB University, Jl. Raya Dramaga, Bogor, West Java, 16680, Indonesia.
WidodoPlant Protection Department, IPB University, Jl. Raya Dramaga, Bogor, West Java, 16680, Indonesia.
Willy Bayuardi SuwarnoAgronomy and Horticulture Department, IPB University, Jl. Raya Dramaga, Bogor, West Java, 16680, Indonesia.
Sri WeningPlant Breeding Department, Indonesian Oil Palm Research Institute, Jl. Brigjend Katamso No.51, Medan, North Sumatera, 20158, Indonesia.
Arfan Nazhri SimamoraPlant Breeding Department, Indonesian Oil Palm Research Institute, Jl. Brigjend Katamso No.51, Medan, North Sumatera, 20158, Indonesia.
Syarul NugrohoPlant Breeding Department, Indonesian Oil Palm Research Institute, Jl. Brigjend Katamso No.51, Medan, North Sumatera, 20158, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreeding for oil palm resistance against basal stem rot caused by Ganoderma boninense is challenging and time-consuming. Advanced oil palm gene pools are very limited, hence it is assumed that parental palms have experienced genetic drift and lost their resistance genes against Ganoderma. High-throughput selection criteria should be developed. Metabolomic analysis using

objectivesThe objective of this study was to identify metabolite variations in Dura (D) and Pisifera (P) parental palms with different resistance levels against Ganoderma and moderately resistant DxP using

methodsLeaf tissues of seven different oil palm categories consisting of: resistant, moderate, and susceptible Dura (D); moderate and susceptible Pisifera (P); resistant Tenera/Pisifera (T/P) parental palms; and moderately resistant DxP variety progenies, were sampled and their metabolites were determined using NMR spectroscopy.

resultsTwenty-nine types of metabolites were identified, and most of the metabolites fall in the monosaccharides, amino acids, and fatty acids compound classes. The PCA, PLS-DA, and heatmap multivariate analysis indicated two identified groups of resistance based on their metabolites. The first group consisted of resistant T/P, moderate P, resistant D, and moderately resistant DxP. In contrast, the second group consisted of susceptible P, moderate D, and susceptible D. Glycerol and ascorbic acid were detected as biomarker candidates by OPLS-DA to differentiate moderately resistant DxP from susceptible D and P. The pathway analysis suggested that glycine, serine, and threonine metabolism and taurine and hypotaurine metabolism were involved in the oil palm defense mechanism against Ganoderma.

conclusionA metabolomic study with

Indexed as

ArecaceaeDisease ResistanceGanodermaMetabolomicsPlant DiseasesPlant LeavesMetabolomeProton Magnetic Resonance Spectroscopy1H NMRGanodermaMetaboliteModerately resistant DxPParental palms

Identifiers

PMID39095669

What Socratic 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 Socratic graph.