Evidence map›Paper›PMID 25368168›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Isotopically nonstationary 13C flux analysis of changes in Arabidopsis thaliana leaf metabolism due to high light acclimation.

Fangfang Ma, Lara J Jazmin, Jamey D Young, Doug K Allen

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

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0cells of the map it votes in
114citing 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

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3 · Its place in the literature

Who cites it

114 citing papers in PubMed.

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  7. Metabolic rewiring and biomass redistribution enable optimized mixotrophic growth in Chlamydomonas.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Non-canonical plant metabolism.Nature plants · 2025
    Review
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54 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.

Fangfang MaDonald Danforth Plant Science Center and.
Lara J JazminDepartments of Chemical & Biomolecular Engineering and.
Jamey D YoungDepartments of Chemical & Biomolecular Engineering and Molecular Physiology & Biophysics, Vanderbilt University, Nashville, TN 37235 doug.allen@ars.usda.gov j.d.young@vanderbilt.edu.
Doug K AllenDonald Danforth Plant Science Center and Agricultural Research Service, US Department of Agriculture, St. Louis, MO 63132; and doug.allen@ars.usda.gov j.d.young@vanderbilt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving plant productivity is an important aim for metabolic engineering. There are few comprehensive methods that quantitatively describe leaf metabolism, although such information would be valuable for increasing photosynthetic capacity, enhancing biomass production, and rerouting carbon flux toward desirable end products. Isotopically nonstationary metabolic flux analysis (INST-MFA) has been previously applied to map carbon fluxes in photoautotrophic bacteria, which involves model-based regression of transient (13)C-labeling patterns of intracellular metabolites. However, experimental and computational difficulties have hindered its application to terrestrial plant systems. We performed in vivo isotopic labeling of Arabidopsis thaliana rosettes with (13)CO2 and estimated fluxes throughout leaf photosynthetic metabolism by INST-MFA. Plants grown at 200 µmol m(-2)s(-1) light were compared with plants acclimated for 9 d at an irradiance of 500 µmol⋅m(-2)⋅s(-1). Approximately 1,400 independent mass isotopomer measurements obtained from analysis of 37 metabolite fragment ions were regressed to estimate 136 total fluxes (54 free fluxes) under each condition. The results provide a comprehensive description of changes in carbon partitioning and overall photosynthetic flux after long-term developmental acclimation of leaves to high light. Despite a doubling in the carboxylation rate, the photorespiratory flux increased from 17 to 28% of net CO2 assimilation with high-light acclimation (Vc/Vo: 3.5:1 vs. 2.3:1, respectively). This study highlights the potential of (13)C INST-MFA to describe emergent flux phenotypes that respond to environmental conditions or plant physiology and cannot be obtained by other complementary approaches.

Indexed as

Adaptation, PhysiologicalLightArabidopsisCarbon IsotopesGlucosePhotosynthesisPlant LeavesCarbon IsotopesGlucose13C-labelingisotopomer modelingmetabolic flux analysisphotosynthesisprimary metabolism

Identifiers

PMID25368168
PMCPMC4250135

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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.