Evidence map›Paper›PMID 23753178›Full record

ArticlePlant physiology2013

Elucidating rice cell metabolism under flooding and drought stresses using flux-based modeling and analysis.

Meiyappan Lakshmanan, Zhaoyang Zhang, Bijayalaxmi Mohanty, Jun-Young Kwon, Hong-Yeol Choi, Hyung-Jin Nam, Dong-Il Kim, Dong-Yup Lee

Abstract 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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Evaluating plant growth-defense trade-offs by modeling the interaction between primary and secondary metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Elucidating the impact ofFrontiers in plant science · 2023
    Article
  8. COFrontiers in plant science · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. SNPeffect: identifying functional roles of SNPs using metabolic networks.The Plant journal : for cell and molecular biology · 2020
    Article
  13. Deciphering rice metabolic flux reprograming under salinity stress viaComputational and structural biotechnology journal · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Reconstruction ofFrontiers in plant science · 2017
    Article
  19. Article
  20. Article
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

8 authors.

Meiyappan LakshmananDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576.
Zhaoyang Zhang
Bijayalaxmi Mohanty
Jun-Young Kwon
Hong-Yeol Choi
Hyung-Jin Nam
Dong-Il Kim
Dong-Yup Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice (Oryza sativa) is one of the major food crops in world agriculture, especially in Asia. However, the possibility of subsequent occurrence of flood and drought is a major constraint to its production. Thus, the unique behavior of rice toward flooding and drought stresses has required special attention to understand its metabolic adaptations. However, despite several decades of research investigations, the cellular metabolism of rice remains largely unclear. In this study, in order to elucidate the physiological characteristics in response to such abiotic stresses, we reconstructed what is to our knowledge the first metabolic/regulatory network model of rice, representing two tissue types: germinating seeds and photorespiring leaves. The phenotypic behavior and metabolic states simulated by the model are highly consistent with our suspension culture experiments as well as previous reports. The in silico simulation results of seed-derived rice cells indicated (1) the characteristic metabolic utilization of glycolysis and ethanolic fermentation based on oxygen availability and (2) the efficient sucrose breakdown through sucrose synthase instead of invertase. Similarly, flux analysis on photorespiring leaf cells elucidated the crucial role of plastid-cytosol and mitochondrion-cytosol malate transporters in recycling the ammonia liberated during photorespiration and in exporting the excess redox cofactors, respectively. The model simulations also unraveled the essential role of mitochondrial respiration during drought stress. In the future, the combination of experimental and in silico analyses can serve as a promising approach to understand the complex metabolism of rice and potentially help in identifying engineering targets for improving its productivity as well as enabling stress tolerance.

Indexed as

DroughtsFloodsAmino AcidsCitric Acid CycleComputer SimulationCytosolGerminationGlycolysisMetabolic Networks and PathwaysModels, BiologicalOryzaOxidative PhosphorylationOxygenPlant CellsPlant LeavesSeedsAmino AcidsOxygen

Identifiers

PMID23753178
PMCPMC3729788

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Registered trials

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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.