Multiple-oxygen isotope constraints on aerobic respiration and gross primary productivity

Primary production on land and in the surface ocean is a critical component of Earth’s carbon and oxygen cycles, controlling the uptake of CO 2 and the release of O 2 to the atmosphere. Quantitative estimates of these O 2 and CO 2 fluxes remain challenging. Of the methods used, the triple-oxygen-isotope analysis of O 2 is considered to provide the most robust in situ estimate of gross productivity. However, this method relies on one key assumption—that the oxygen isotope fractionation of aerobic respiration is constant—and recent experimental studies have shown that it can vary significantly. When applied to the same calculation of gross productivity, the experimentally determined variation in fractionation could produce > 100% error. In this work, the mechanistic origin of the variation in respiratory fractionation is explored using experiments on the model organism Escherichia coli . These experiments suggest that the fractionation is strongly correlated with the cell-specific O 2 consumption rate, weakly correlated with the dissolved-O 2 concentration, and may also depend on the identity of the terminal oxidase enzyme used to reduce O 2 . Modeling suggests that these influences on fractionation are likely to be important in the marine water column, and could produce up to ± 120% error in estimates of gross productivity made using triple-oxygen-isotope analyses. This error may be significantly reduced through concurrent analyses of the “clumped” (multiply substituted) isotopologue abundances in O 2 .

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Journal
Proceedings of the National Academy of Sciences
Published
2026-10-09
DOI
https://doi.org/10.1073/pnas.2619911123
Primary Topic
Marine and coastal ecosystems
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article
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article

Multiple-oxygen isotope constraints on aerobic respiration and gross primary productivity

David T. Johnston, Kevin M. Sutherland, Eleanor Rachel Hughes
Proceedings of the National Academy of Sciences
Marine and coastal ecosystems
article

Multiple-oxygen isotope constraints on aerobic respiration and gross primary productivity

David T. Johnston, Kevin M. Sutherland, Eleanor Rachel Hughes
article en

Abstract

Primary production on land and in the surface ocean is a critical component of Earth’s carbon and oxygen cycles, controlling the uptake of CO 2 and the release of O 2 to the atmosphere. Quantitative estimates of these O 2 and CO 2 fluxes remain challenging. Of the methods used, the triple-oxygen-isotope analysis of O 2 is considered to provide the most robust in situ estimate of gross productivity. However, this method relies on one key assumption—that the oxygen isotope fractionation of aerobic respiration is constant—and recent experimental studies have shown that it can vary significantly. When applied to the same calculation of gross productivity, the experimentally determined variation in fractionation could produce > 100% error. In this work, the mechanistic origin of the variation in respiratory fractionation is explored using experiments on the model organism Escherichia coli . These experiments suggest that the fractionation is strongly correlated with the cell-specific O 2 consumption rate, weakly correlated with the dissolved-O 2 concentration, and may also depend on the identity of the terminal oxidase enzyme used to reduce O 2 . Modeling suggests that these influences on fractionation are likely to be important in the marine water column, and could produce up to ± 120% error in estimates of gross productivity made using triple-oxygen-isotope analyses. This error may be significantly reduced through concurrent analyses of the “clumped” (multiply substituted) isotopologue abundances in O 2 .

Proceedings of the National Academy of SciencesVol. 123(41)
Harvard University (US)
Openalex Percentile: Top 16%
Marine and coastal ecosystems
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Multiple-oxygen isotope constraints on aerobic respiration and gross primary productivity — David T. Johnston, Kevin M. Sutherland, et al. · Proceedings of the National Academy of Sciences (2026) | TGRS Research Map | TGRS