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C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter
The understanding of soil organic matter (SOM) dynamics has considerably advanced in recent years. It was previously assumed that most SOM consisted of recalcitrant compounds, whereas the emerging view considers SOM as a range of polymers continuously processed into smaller molecules by decomposer e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864906/ https://www.ncbi.nlm.nih.gov/pubmed/33547289 http://dx.doi.org/10.1038/s41467-021-21079-6 |
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author | Sainte-Marie, Julien Barrandon, Matthieu Saint-André, Laurent Gelhaye, Eric Martin, Francis Derrien, Delphine |
author_facet | Sainte-Marie, Julien Barrandon, Matthieu Saint-André, Laurent Gelhaye, Eric Martin, Francis Derrien, Delphine |
author_sort | Sainte-Marie, Julien |
collection | PubMed |
description | The understanding of soil organic matter (SOM) dynamics has considerably advanced in recent years. It was previously assumed that most SOM consisted of recalcitrant compounds, whereas the emerging view considers SOM as a range of polymers continuously processed into smaller molecules by decomposer enzymes. Mainstreaming this new paradigm in current models is challenging because of their ill-adapted framework. We propose the C-STABILITY model to resolve this issue. Its innovative framework combines compartmental and continuous modeling approaches to accurately reproduce SOM cycling processes. C-STABILITY emphasizes the influence of substrate accessibility on SOM turnover and makes enzymatic and microbial biotransformations of substrate explicit. Theoretical simulations provide new insights on how depolymerization and decomposers ecology impact organic matter chemistry and amount during decomposition and at steady state. The flexible mathematical structure of C-STABILITY offers a promising foundation for exploring new mechanistic hypotheses and supporting the design of future experiments. |
format | Online Article Text |
id | pubmed-7864906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78649062021-02-16 C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter Sainte-Marie, Julien Barrandon, Matthieu Saint-André, Laurent Gelhaye, Eric Martin, Francis Derrien, Delphine Nat Commun Article The understanding of soil organic matter (SOM) dynamics has considerably advanced in recent years. It was previously assumed that most SOM consisted of recalcitrant compounds, whereas the emerging view considers SOM as a range of polymers continuously processed into smaller molecules by decomposer enzymes. Mainstreaming this new paradigm in current models is challenging because of their ill-adapted framework. We propose the C-STABILITY model to resolve this issue. Its innovative framework combines compartmental and continuous modeling approaches to accurately reproduce SOM cycling processes. C-STABILITY emphasizes the influence of substrate accessibility on SOM turnover and makes enzymatic and microbial biotransformations of substrate explicit. Theoretical simulations provide new insights on how depolymerization and decomposers ecology impact organic matter chemistry and amount during decomposition and at steady state. The flexible mathematical structure of C-STABILITY offers a promising foundation for exploring new mechanistic hypotheses and supporting the design of future experiments. Nature Publishing Group UK 2021-02-05 /pmc/articles/PMC7864906/ /pubmed/33547289 http://dx.doi.org/10.1038/s41467-021-21079-6 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sainte-Marie, Julien Barrandon, Matthieu Saint-André, Laurent Gelhaye, Eric Martin, Francis Derrien, Delphine C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter |
title | C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter |
title_full | C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter |
title_fullStr | C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter |
title_full_unstemmed | C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter |
title_short | C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter |
title_sort | c-stability an innovative modeling framework to leverage the continuous representation of organic matter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864906/ https://www.ncbi.nlm.nih.gov/pubmed/33547289 http://dx.doi.org/10.1038/s41467-021-21079-6 |
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