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Gene-Based Modeling of Methane Oxidation in Coastal Sediments: Constraints on the Efficiency of the Microbial Methane Filter
[Image: see text] Methane is a powerful greenhouse gas that is produced in large quantities in marine sediments. Microbially mediated oxidation of methane in sediments, when in balance with methane production, prevents the release of methane to the overlying water. Here, we present a gene-based reac...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469488/ https://www.ncbi.nlm.nih.gov/pubmed/37585543 http://dx.doi.org/10.1021/acs.est.3c02023 |
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author | Lenstra, Wytze K. van Helmond, Niels A. G. M. Martins, Paula Dalcin Wallenius, Anna J. Jetten, Mike S. M. Slomp, Caroline P. |
author_facet | Lenstra, Wytze K. van Helmond, Niels A. G. M. Martins, Paula Dalcin Wallenius, Anna J. Jetten, Mike S. M. Slomp, Caroline P. |
author_sort | Lenstra, Wytze K. |
collection | PubMed |
description | [Image: see text] Methane is a powerful greenhouse gas that is produced in large quantities in marine sediments. Microbially mediated oxidation of methane in sediments, when in balance with methane production, prevents the release of methane to the overlying water. Here, we present a gene-based reactive transport model that includes both microbial and geochemical dynamics and use it to investigate whether the rate of growth of methane oxidizers in sediments impacts the efficiency of the microbial methane filter. We focus on iron- and methane-rich coastal sediments and, with the model, show that at our site, up to 10% of all methane removed is oxidized by iron and manganese oxides, with the remainder accounted for by oxygen and sulfate. We demonstrate that the slow growth rate of anaerobic methane-oxidizing microbes limits their ability to respond to transient perturbations, resulting in periodic benthic release of methane. Eutrophication and deoxygenation decrease the efficiency of the microbial methane filter further, thereby enhancing the role of coastal environments as a source of methane to the atmosphere. |
format | Online Article Text |
id | pubmed-10469488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104694882023-09-01 Gene-Based Modeling of Methane Oxidation in Coastal Sediments: Constraints on the Efficiency of the Microbial Methane Filter Lenstra, Wytze K. van Helmond, Niels A. G. M. Martins, Paula Dalcin Wallenius, Anna J. Jetten, Mike S. M. Slomp, Caroline P. Environ Sci Technol [Image: see text] Methane is a powerful greenhouse gas that is produced in large quantities in marine sediments. Microbially mediated oxidation of methane in sediments, when in balance with methane production, prevents the release of methane to the overlying water. Here, we present a gene-based reactive transport model that includes both microbial and geochemical dynamics and use it to investigate whether the rate of growth of methane oxidizers in sediments impacts the efficiency of the microbial methane filter. We focus on iron- and methane-rich coastal sediments and, with the model, show that at our site, up to 10% of all methane removed is oxidized by iron and manganese oxides, with the remainder accounted for by oxygen and sulfate. We demonstrate that the slow growth rate of anaerobic methane-oxidizing microbes limits their ability to respond to transient perturbations, resulting in periodic benthic release of methane. Eutrophication and deoxygenation decrease the efficiency of the microbial methane filter further, thereby enhancing the role of coastal environments as a source of methane to the atmosphere. American Chemical Society 2023-08-16 /pmc/articles/PMC10469488/ /pubmed/37585543 http://dx.doi.org/10.1021/acs.est.3c02023 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Lenstra, Wytze K. van Helmond, Niels A. G. M. Martins, Paula Dalcin Wallenius, Anna J. Jetten, Mike S. M. Slomp, Caroline P. Gene-Based Modeling of Methane Oxidation in Coastal Sediments: Constraints on the Efficiency of the Microbial Methane Filter |
title | Gene-Based
Modeling
of Methane Oxidation in Coastal
Sediments: Constraints on the Efficiency of the Microbial Methane
Filter |
title_full | Gene-Based
Modeling
of Methane Oxidation in Coastal
Sediments: Constraints on the Efficiency of the Microbial Methane
Filter |
title_fullStr | Gene-Based
Modeling
of Methane Oxidation in Coastal
Sediments: Constraints on the Efficiency of the Microbial Methane
Filter |
title_full_unstemmed | Gene-Based
Modeling
of Methane Oxidation in Coastal
Sediments: Constraints on the Efficiency of the Microbial Methane
Filter |
title_short | Gene-Based
Modeling
of Methane Oxidation in Coastal
Sediments: Constraints on the Efficiency of the Microbial Methane
Filter |
title_sort | gene-based
modeling
of methane oxidation in coastal
sediments: constraints on the efficiency of the microbial methane
filter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469488/ https://www.ncbi.nlm.nih.gov/pubmed/37585543 http://dx.doi.org/10.1021/acs.est.3c02023 |
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