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Microbial carbon use efficiency predicted from genome-scale metabolic models
Respiration by soil bacteria and fungi is one of the largest fluxes of carbon (C) from the land surface. Although this flux is a direct product of microbial metabolism, controls over metabolism and their responses to global change are a major uncertainty in the global C cycle. Here, we explore an in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687798/ https://www.ncbi.nlm.nih.gov/pubmed/31395870 http://dx.doi.org/10.1038/s41467-019-11488-z |
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author | Saifuddin, Mustafa Bhatnagar, Jennifer M. Segrè, Daniel Finzi, Adrien C. |
author_facet | Saifuddin, Mustafa Bhatnagar, Jennifer M. Segrè, Daniel Finzi, Adrien C. |
author_sort | Saifuddin, Mustafa |
collection | PubMed |
description | Respiration by soil bacteria and fungi is one of the largest fluxes of carbon (C) from the land surface. Although this flux is a direct product of microbial metabolism, controls over metabolism and their responses to global change are a major uncertainty in the global C cycle. Here, we explore an in silico approach to predict bacterial C-use efficiency (CUE) for over 200 species using genome-specific constraint-based metabolic modeling. We find that potential CUE averages 0.62 ± 0.17 with a range of 0.22 to 0.98 across taxa and phylogenetic structuring at the subphylum levels. Potential CUE is negatively correlated with genome size, while taxa with larger genomes are able to access a wider variety of C substrates. Incorporating the range of CUE values reported here into a next-generation model of soil biogeochemistry suggests that these differences in physiology across microbial taxa can feed back on soil-C cycling. |
format | Online Article Text |
id | pubmed-6687798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66877982019-08-12 Microbial carbon use efficiency predicted from genome-scale metabolic models Saifuddin, Mustafa Bhatnagar, Jennifer M. Segrè, Daniel Finzi, Adrien C. Nat Commun Article Respiration by soil bacteria and fungi is one of the largest fluxes of carbon (C) from the land surface. Although this flux is a direct product of microbial metabolism, controls over metabolism and their responses to global change are a major uncertainty in the global C cycle. Here, we explore an in silico approach to predict bacterial C-use efficiency (CUE) for over 200 species using genome-specific constraint-based metabolic modeling. We find that potential CUE averages 0.62 ± 0.17 with a range of 0.22 to 0.98 across taxa and phylogenetic structuring at the subphylum levels. Potential CUE is negatively correlated with genome size, while taxa with larger genomes are able to access a wider variety of C substrates. Incorporating the range of CUE values reported here into a next-generation model of soil biogeochemistry suggests that these differences in physiology across microbial taxa can feed back on soil-C cycling. Nature Publishing Group UK 2019-08-08 /pmc/articles/PMC6687798/ /pubmed/31395870 http://dx.doi.org/10.1038/s41467-019-11488-z Text en © The Author(s) 2019 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 Saifuddin, Mustafa Bhatnagar, Jennifer M. Segrè, Daniel Finzi, Adrien C. Microbial carbon use efficiency predicted from genome-scale metabolic models |
title | Microbial carbon use efficiency predicted from genome-scale metabolic models |
title_full | Microbial carbon use efficiency predicted from genome-scale metabolic models |
title_fullStr | Microbial carbon use efficiency predicted from genome-scale metabolic models |
title_full_unstemmed | Microbial carbon use efficiency predicted from genome-scale metabolic models |
title_short | Microbial carbon use efficiency predicted from genome-scale metabolic models |
title_sort | microbial carbon use efficiency predicted from genome-scale metabolic models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687798/ https://www.ncbi.nlm.nih.gov/pubmed/31395870 http://dx.doi.org/10.1038/s41467-019-11488-z |
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