Evidence map›Paper›PMID 26644588›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Detecting long-term metabolic shifts using isotopomers: CO2-driven suppression of photorespiration in C3 plants over the 20th century.

Ina Ehlers, Angela Augusti, Tatiana R Betson, Mats B Nilsson, John D Marshall, Jürgen Schleucher

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.4field-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

23 citing papers in PubMed, 114 citations in OpenAlex.

  1. Article
  2. Article
  3. Centennial-scale atmospheric COThe New phytologist · 2025
    Article
  4. Review
  5. Isotopic clumping in wood as a proxy for photorespiration in trees.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. High atmospheric COThe New phytologist · 2022
    Article
  8. Article
  9. Article
  10. COProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Global COScientific reports · 2021
    Article
  13. Article
  14. Improving the Rice Photosynthetic Efficiency and Yield by EditingInternational journal of molecular sciences · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. Oecologia · 2019
    Article
  19. Article
  20. Growth at Elevated COPlant physiology · 2018
    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

6 authors at 2 institutions in 2 countries.

Ina EhlersDepartment of Medical Biochemistry & Biophysics, Umeå University, 901 87 Umea, Sweden;
Angela AugustiDepartment of Medical Biochemistry & Biophysics, Umeå University, 901 87 Umea, Sweden;
Tatiana R BetsonDepartment of Medical Biochemistry & Biophysics, Umeå University, 901 87 Umea, Sweden;
Mats B NilssonDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, 901 83 Umea, Sweden;
John D MarshallDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, 901 83 Umea, Sweden; Department of Forest, Rangeland, and Fire Sciences, University of Idaho, Moscow, ID 83844-1133.
Jürgen SchleucherDepartment of Medical Biochemistry & Biophysics, Umeå University, 901 87 Umea, Sweden; jurgen.schleucher@chem.umu.se.
Umeå University · SESwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terrestrial vegetation currently absorbs approximately a third of anthropogenic CO2 emissions, mitigating the rise of atmospheric CO2. However, terrestrial net primary production is highly sensitive to atmospheric CO2 levels and associated climatic changes. In C3 plants, which dominate terrestrial vegetation, net photosynthesis depends on the ratio between photorespiration and gross photosynthesis. This metabolic flux ratio depends strongly on CO2 levels, but changes in this ratio over the past CO2 rise have not been analyzed experimentally. Combining CO2 manipulation experiments and deuterium NMR, we first establish that the intramolecular deuterium distribution (deuterium isotopomers) of photosynthetic C3 glucose contains a signal of the photorespiration/photosynthesis ratio. By tracing this isotopomer signal in herbarium samples of natural C3 vascular plant species, crops, and a Sphagnum moss species, we detect a consistent reduction in the photorespiration/photosynthesis ratio in response to the ∼100-ppm CO2 increase between ∼1900 and 2013. No difference was detected in the isotopomer trends between beet sugar samples covering the 20th century and CO2 manipulation experiments, suggesting that photosynthetic metabolism in sugar beet has not acclimated to increasing CO2 over >100 y. This provides observational evidence that the reduction of the photorespiration/photosynthesis ratio was ca. 25%. The Sphagnum results are consistent with the observed positive correlations between peat accumulation rates and photosynthetic rates over the Northern Hemisphere. Our results establish that isotopomers of plant archives contain metabolic information covering centuries. Our data provide direct quantitative information on the "CO2 fertilization" effect over decades, thus addressing a major uncertainty in Earth system models.

Indexed as

PhotosynthesisCarbon DioxideCarbon IsotopesDeuteriumPlantsCarbon DioxideCarbon IsotopesDeuteriumacclimationatmospheric changeCO2 fertilizationdeuteriumisotopomer

Identifiers

PMID26644588
PMCPMC4697390
OpenAlexW2195149224

What OpenQuestion holds

Textmetadata
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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.