Evidence map›Paper›PMID 41023534›Full record

ArticlePhotosynthesis research2025

Time-resolved targeted metabolomics shows an abrupt switch from Calvin-Benson-Bassham cycle to tricarboxylic acid cycle when the light is turned off.

Yuan Xu, Stephanie C Schmiege, Thomas D Sharkey

Abstract read
In one paragraph

Article in Photosynthesis research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yuan XuMSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI, 48824, USA.ORCID http://orcid.org/0000-0002-8259-2315
Stephanie C SchmiegeMSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI, 48824, USA.ORCID http://orcid.org/0000-0001-9054-5538
Thomas D SharkeyMSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI, 48824, USA. tsharkey@msu.edu.ORCID http://orcid.org/0000-0002-4423-3223

Funding

Office of Basic Energy Sciences of the United States Department of Energy Grant DE-FG02-91ER20021
6 · The paper itself

Abstract

In leaves, major CO₂ fluxes alternate between fixation by the Calvin-Benson-Bassham (CBB) cycle during light and release by the tricarboxylic acid (TCA) cycle in darkness. The speed at which leaf metabolism transitions between these pathways likely influences plant tolerance to fluctuating light conditions. To investigate these rapid metabolic shifts, we exposed leaves to ¹³CO₂ for 20 min to establish a quasi-steady state before abruptly turning off the light while maintaining ¹³CO₂ feeding. Within 10 s of dark transition, 3-phosphoglycerate levels rose significantly while most other CBB cycle intermediates decreased by more than 90%. Simultaneously, carbon accumulated in alanine, likely via pyruvate. Over the subsequent 10 min, six- and five-carbon TCA cycle intermediates steadily increased. In contrast, four-carbon TCA intermediates peaked at one minute, declined at three minutes, and rose again at 10 min, a pattern mirrored by most measured amino acids. These results reveal an exceptionally rapid metabolic reconfiguration from CO₂ fixation by the CBB cycle in light to TCA cycle activation for energy production in darkness, accompanied by substantial changes in amino acid metabolism.

Indexed as

Citric Acid CycleLightMetabolomicsPhotosynthesisAmino AcidsCarbonCarbon DioxideDarknessGlyceric AcidsPlant Leaves3-phosphoglycerateAmino AcidsCarbonCarbon DioxideGlyceric AcidsCalvin Benson Bassham cycleLight transitionPhotosynthetic carbon metabolismRespirationTricarboxylic acid cycle

Identifiers

PMID41023534
PMCPMC12479584

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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.