Evidence map›Paper›PMID 31248364›Full record

ArticleBMC bioinformatics2019

A mass and charge balanced metabolic model of Setaria viridis revealed mechanisms of proton balancing in C4 plants.

Rahul Shaw, C Y Maurice Cheung

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

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  12. Multi-omics intervention inFrontiers in plant science · 2022
    Review
  13. Exploring synergies between plant metabolic modelling and machine learning.Computational and structural biotechnology journal · 2022
    Review
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  16. Multi-tissue to whole plant metabolic modelling.Cellular and molecular life sciences : CMLS · 2020
    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

2 authors at 1 institution in 1 country.

Rahul ShawYale-NUS College, 16 College Avenue West, Singapore, 138527, Singapore.
C Y Maurice CheungYale-NUS College, 16 College Avenue West, Singapore, 138527, Singapore. maurice.cheung@yale-nus.edu.sg.ORCID http://orcid.org/0000-0002-5531-7895
Yale-NUS College · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundC4 photosynthesis is a key domain of plant research with outcomes ranging from crop quality improvement, biofuel production and efficient use of water and nutrients. A metabolic network model of C4 "lab organism" Setaria viridis with extensive gene-reaction associations can accelerate target identification for desired metabolic manipulations and thereafter in vivo validation. Moreover, metabolic reconstructions have also been shown to be a significant tool to investigate fundamental metabolic traits.

resultsA mass and charge balance genome-scale metabolic model of Setaria viridis was constructed, which was tested to be able to produce all major biomass components in phototrophic and heterotrophic conditions. Our model predicted an important role of the utilization of NH[Formula: see text] and NO[Formula: see text] ratio in balancing charges in plants. A multi-tissue extension of the model representing C4 photosynthesis was able to utilize NADP-ME subtype of C4 carbon fixation for the production of lignocellulosic biomass in stem, providing a tool for identifying gene associations for cellulose, hemi-cellulose and lignin biosynthesis that could be potential target for improved lignocellulosic biomass production. Besides metabolic engineering, our modeling results uncovered a previously unrecognized role of the 3-PGA/triosephosphate shuttle in proton balancing.

conclusionsA mass and charge balance model of Setaria viridis, a model C4 plant, provides the possibility of system-level investigation to identify metabolic characteristics based on stoichiometric constraints. This study demonstrated the use of metabolic modeling in identifying genes associated with the synthesis of particular biomass components, and elucidating new role of previously known metabolic processes.

Indexed as

ProtonsBiomassCelluloseGenome, PlantLigninMetabolic Networks and PathwaysModels, BiologicalPhotosynthesisPolysaccharidesSetaria PlantCellulosehemicelluloseLigninPolysaccharidesProtonsAmmonium and nitrate usageBioenergy grassesC4 photosynthesisGene associationGenome-scale metabolic network modelLignocellulosic biomassMass and charge balanceMilletSetaria viridis

Identifiers

PMID31248364
PMCPMC6598292
OpenAlexW2953842772

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.