Evidence map›Paper›PMID 25566296›Full record

ArticleFrontiers in plant science2014

Integration of a constraint-based metabolic model of Brassica napus developing seeds with (13)C-metabolic flux analysis.

Jordan O Hay, Hai Shi, Nicolas Heinzel, Inga Hebbelmann, Hardy Rolletschek, Jorg Schwender

Abstract read
In one paragraph

Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  7. An expanded role for the transcription factorFrontiers in plant science · 2022
    Article
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  13. APlant methods · 2018
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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

6 authors.

Jordan O HayBiological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
Hai ShiBiological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
Nicolas HeinzelDepartment of Molecular Genetics, Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung Gatersleben, Germany.
Inga HebbelmannBiological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
Hardy RolletschekDepartment of Molecular Genetics, Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung Gatersleben, Germany.
Jorg SchwenderBiological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of large-scale or genome-scale metabolic reconstructions for modeling and simulation of plant metabolism and integration of those models with large-scale omics and experimental flux data is becoming increasingly important in plant metabolic research. Here we report an updated version of bna572, a bottom-up reconstruction of oilseed rape (Brassica napus L.; Brassicaceae) developing seeds with emphasis on representation of biomass-component biosynthesis. New features include additional seed-relevant pathways for isoprenoid, sterol, phenylpropanoid, flavonoid, and choline biosynthesis. Being now based on standardized data formats and procedures for model reconstruction, bna572+ is available as a COBRA-compliant Systems Biology Markup Language (SBML) model and conforms to the Minimum Information Requested in the Annotation of Biochemical Models (MIRIAM) standards for annotation of external data resources. Bna572+ contains 966 genes, 671 reactions, and 666 metabolites distributed among 11 subcellular compartments. It is referenced to the Arabidopsis thaliana genome, with gene-protein-reaction (GPR) associations resolving subcellular localization. Detailed mass and charge balancing and confidence scoring were applied to all reactions. Using B. napus seed specific transcriptome data, expression was verified for 78% of bna572+ genes and 97% of reactions. Alongside bna572+ we also present a revised carbon centric model for (13)C-Metabolic Flux Analysis ((13)C-MFA) with all its reactions being referenced to bna572+ based on linear projections. By integration of flux ratio constraints obtained from (13)C-MFA and by elimination of infinite flux bounds around thermodynamically infeasible loops based on COBRA loopless methods, we demonstrate improvements in predictive power of Flux Variability Analysis (FVA). Using this combined approach we characterize the difference in metabolic flux of developing seeds of two B. napus genotypes contrasting in starch and oil content.

Indexed as

13C-metabolic flux analysiscarbon partitioningcentral metabolismconstraint-based reconstruction and analysisloopless flux balance analysis

Identifiers

PMID25566296
PMCPMC4271587

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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.