Evidence map›Paper›PMID 23640755›Full record

ArticlePlant physiology2013

Responses to light intensity in a genome-scale model of rice metabolism.

Mark G Poolman, Sudip Kundu, Rahul Shaw, David A Fell

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 123 citations in OpenAlex.

  1. Article
  2. Review
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  5. Non-canonical plant metabolism.Nature plants · 2025
    Review
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  9. Article
  10. Article
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  14. Article
  15. Elucidating the impact ofFrontiers in plant science · 2023
    Article
  16. Genome-scale metabolic model led engineering ofFrontiers in plant science · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Mark G PoolmanDepartment of Biology and Medical Science, Oxford Brookes University, Headington, Oxford OX3 OBP, United Kingdom. mgpoolman@brookes.ac.uk
Sudip Kundu
Rahul Shaw
David A Fell
Science Oxford · GBUniversity of Calcutta · IN

Funding

Biotechnology and Biological Sciences Research Council BB/E00203X/1Biotechnology and Biological Sciences Research Council BB/G530317/1
6 · The paper itself

Abstract

We describe the construction and analysis of a genome-scale metabolic model representing a developing leaf cell of rice (Oryza sativa) primarily derived from the annotations in the RiceCyc database. We used flux balance analysis to determine that the model represents a network capable of producing biomass precursors (amino acids, nucleotides, lipid, starch, cellulose, and lignin) in experimentally reported proportions, using carbon dioxide as the sole carbon source. We then repeated the analysis over a range of photon flux values to examine responses in the solutions. The resulting flux distributions show that (1) redox shuttles between the chloroplast, cytosol, and mitochondrion may play a significant role at low light levels, (2) photorespiration can act to dissipate excess energy at high light levels, and (3) the role of mitochondrial metabolism is likely to vary considerably according to the balance between energy demand and availability. It is notable that these organelle interactions, consistent with many experimental observations, arise solely as a result of the need for mass and energy balancing without any explicit assumptions concerning kinetic or other regulatory mechanisms.

Indexed as

Models, BiologicalBiomassCarbonCarbon DioxideChloroplastsCytosolEnergy MetabolismGenome, PlantLightMitochondriaNitrogenOryzaPlant LeavesCarbonCarbon DioxideNitrogen

Identifiers

PMID23640755
PMCPMC3668040
OpenAlexW2015600749

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.