Evidence map›Paper›PMID 15927065›Full record

ArticleBMC plant biology2005

Biomarker metabolites capturing the metabolite variance present in a rice plant developmental period.

Lee Tarpley, Anthony L Duran, Tesfamichael H Kebrom, Lloyd W Sumner

Abstract read
In one paragraph

Article in BMC plant biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

33 citing papers in PubMed.

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  9. Effect of elicitors on the metabolites in the suspension cell culture ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2019
    Article
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  12. Plant Metabolomics: An Indispensable System Biology Tool for Plant Science.International journal of molecular sciences · 2016
    Review
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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

4 authors.

Lee TarpleyTexas A&M Agricultural Research and Extension Center, 1509 Aggie Dr, Beaumont, Texas 77713, USA. ltarpley@tamu.edu
Anthony L Duran
Tesfamichael H Kebrom
Lloyd W Sumner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study analyzes metabolomic data from a rice tillering (branching) developmental profile to define a set of biomarker metabolites that reliably captures the metabolite variance of this plant developmental event, and which has potential as a basis for rapid comparative screening of metabolite profiles in relation to change in development, environment, or genotype. Changes in metabolism, and in metabolite profile, occur as a part of, and in response to, developmental events. These changes are influenced by the developmental program, as well as external factors impinging on it. Many samples are needed, however, to characterize quantitative aspects of developmental variation. A biomarker metabolite set could benefit screening of quantitative plant developmental variation by providing some of the advantages of both comprehensive metabolomic studies and focused studies of particular metabolites or pathways.

resultsAn appropriate set of biomarker metabolites to represent the plant developmental period including the initiation and early growth of rice tillering (branching) was obtained by: (1) determining principal components of the comprehensive metabolomic profile, then (2) identifying clusters of metabolites representing variation in loading on the first three principal components, and finally (3) selecting individual metabolites from these clusters that were known to be common among diverse organisms. The resultant set of 21 biomarker metabolites was reliable (P = 0.001) in capturing 83% of the metabolite variation in development. Furthermore, a subset of the biomarker metabolites was successful (P = 0.05) in correctly predicting metabolite change in response to environment as determined in another rice metabolomics study.

conclusionThe ability to define a set of biomarker metabolites that reliably captures the metabolite variance of a plant developmental event was established. The biomarker metabolites are all commonly present in diverse organisms, so studies of their quantitative relationships can provide comparative information concerning metabolite profiles in relation to change in plant development, environment, or genotype.

Indexed as

Amino AcidsBiomarkersCarbohydrate MetabolismCarbonatesCarboxylic AcidsCrops, AgriculturalEnvironmentGenetic VariationGenotypeHeterocyclic Compounds, 1-RingOryzaAmino AcidsBiomarkersCarbonatesCarboxylic AcidsHeterocyclic Compounds, 1-Ring

Identifiers

PMID15927065
PMCPMC1175851

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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.