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Microbial Denitrification: Active Site and Reaction Path Models Predict New Isotopic Fingerprints
[Image: see text] The study of isotopic fingerprints in nitrate (δ(15)N, δ(18)O, Δ(17)O) has enabled pivotal insights into the global nitrogen cycle and revealed new knowledge gaps. Measuring populations of isotopic homologs of intact NO(3)(–) ions (isotopologues) shows promise to advance the unders...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677970/ https://www.ncbi.nlm.nih.gov/pubmed/36425342 http://dx.doi.org/10.1021/acsearthspacechem.2c00102 |
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author | Boettger, Jason D. Neubauer, Cajetan Kopf, Sebastian H. Kubicki, James D. |
author_facet | Boettger, Jason D. Neubauer, Cajetan Kopf, Sebastian H. Kubicki, James D. |
author_sort | Boettger, Jason D. |
collection | PubMed |
description | [Image: see text] The study of isotopic fingerprints in nitrate (δ(15)N, δ(18)O, Δ(17)O) has enabled pivotal insights into the global nitrogen cycle and revealed new knowledge gaps. Measuring populations of isotopic homologs of intact NO(3)(–) ions (isotopologues) shows promise to advance the understanding of nitrogen cycling processes; however, we need new theory and predictions to guide laboratory experiments and field studies. We investigated the hypothesis that the isotopic composition of the residual nitrate pool is controlled by the N–O bond-breaking step in Nar dissimilatory nitrate reductase using molecular models of the enzyme active sites and associated kinetic isotope effects (KIEs). We integrated the molecular model results into reaction path models representing the reduction of nitrate under either closed-system or steady-state conditions. The predicted intrinsic KIE ((15)ε and (18)ε) of the Nar active site matches observed fractionations in both culture and environmental studies. This is what would be expected if the isotopic composition of marine nitrate were controlled by dissimilatory nitrate reduction by Nar. For a closed system, the molecular models predict a pronounced negative (15)N–(18)O clumping anomaly in residual nitrate. This signal could encode information about the amount of nitrate consumed in a closed system and thus constrain initial nitrate concentration and its isotopic composition. Similar clumped isotope anomalies can potentially be used to distinguish whether a system is open or closed to new nitrate addition. These mechanistic predictions can be tested and refined in combination with emerging ESI-Orbitrap measurements. |
format | Online Article Text |
id | pubmed-9677970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-96779702023-10-20 Microbial Denitrification: Active Site and Reaction Path Models Predict New Isotopic Fingerprints Boettger, Jason D. Neubauer, Cajetan Kopf, Sebastian H. Kubicki, James D. ACS Earth Space Chem [Image: see text] The study of isotopic fingerprints in nitrate (δ(15)N, δ(18)O, Δ(17)O) has enabled pivotal insights into the global nitrogen cycle and revealed new knowledge gaps. Measuring populations of isotopic homologs of intact NO(3)(–) ions (isotopologues) shows promise to advance the understanding of nitrogen cycling processes; however, we need new theory and predictions to guide laboratory experiments and field studies. We investigated the hypothesis that the isotopic composition of the residual nitrate pool is controlled by the N–O bond-breaking step in Nar dissimilatory nitrate reductase using molecular models of the enzyme active sites and associated kinetic isotope effects (KIEs). We integrated the molecular model results into reaction path models representing the reduction of nitrate under either closed-system or steady-state conditions. The predicted intrinsic KIE ((15)ε and (18)ε) of the Nar active site matches observed fractionations in both culture and environmental studies. This is what would be expected if the isotopic composition of marine nitrate were controlled by dissimilatory nitrate reduction by Nar. For a closed system, the molecular models predict a pronounced negative (15)N–(18)O clumping anomaly in residual nitrate. This signal could encode information about the amount of nitrate consumed in a closed system and thus constrain initial nitrate concentration and its isotopic composition. Similar clumped isotope anomalies can potentially be used to distinguish whether a system is open or closed to new nitrate addition. These mechanistic predictions can be tested and refined in combination with emerging ESI-Orbitrap measurements. American Chemical Society 2022-10-20 2022-11-17 /pmc/articles/PMC9677970/ /pubmed/36425342 http://dx.doi.org/10.1021/acsearthspacechem.2c00102 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Boettger, Jason D. Neubauer, Cajetan Kopf, Sebastian H. Kubicki, James D. Microbial Denitrification: Active Site and Reaction Path Models Predict New Isotopic Fingerprints |
title | Microbial
Denitrification: Active Site and Reaction
Path Models Predict New Isotopic Fingerprints |
title_full | Microbial
Denitrification: Active Site and Reaction
Path Models Predict New Isotopic Fingerprints |
title_fullStr | Microbial
Denitrification: Active Site and Reaction
Path Models Predict New Isotopic Fingerprints |
title_full_unstemmed | Microbial
Denitrification: Active Site and Reaction
Path Models Predict New Isotopic Fingerprints |
title_short | Microbial
Denitrification: Active Site and Reaction
Path Models Predict New Isotopic Fingerprints |
title_sort | microbial
denitrification: active site and reaction
path models predict new isotopic fingerprints |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677970/ https://www.ncbi.nlm.nih.gov/pubmed/36425342 http://dx.doi.org/10.1021/acsearthspacechem.2c00102 |
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