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Microbial legacies alter decomposition in response to simulated global change
Terrestrial ecosystem models assume that microbial communities respond instantaneously, or are immediately resilient, to environmental change. Here we tested this assumption by quantifying the resilience of a leaf litter community to changes in precipitation or nitrogen availability. By manipulating...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270563/ https://www.ncbi.nlm.nih.gov/pubmed/27740610 http://dx.doi.org/10.1038/ismej.2016.122 |
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author | Martiny, Jennifer BH Martiny, Adam C Weihe, Claudia Lu, Ying Berlemont, Renaud Brodie, Eoin L Goulden, Michael L Treseder, Kathleen K Allison, Steven D |
author_facet | Martiny, Jennifer BH Martiny, Adam C Weihe, Claudia Lu, Ying Berlemont, Renaud Brodie, Eoin L Goulden, Michael L Treseder, Kathleen K Allison, Steven D |
author_sort | Martiny, Jennifer BH |
collection | PubMed |
description | Terrestrial ecosystem models assume that microbial communities respond instantaneously, or are immediately resilient, to environmental change. Here we tested this assumption by quantifying the resilience of a leaf litter community to changes in precipitation or nitrogen availability. By manipulating composition within a global change experiment, we decoupled the legacies of abiotic parameters versus that of the microbial community itself. After one rainy season, more variation in fungal composition could be explained by the original microbial inoculum than the litterbag environment (18% versus 5.5% of total variation). This compositional legacy persisted for 3 years, when 6% of the variability in fungal composition was still explained by the microbial origin. In contrast, bacterial composition was generally more resilient than fungal composition. Microbial functioning (measured as decomposition rate) was not immediately resilient to the global change manipulations; decomposition depended on both the contemporary environment and rainfall the year prior. Finally, using metagenomic sequencing, we showed that changes in precipitation, but not nitrogen availability, altered the potential for bacterial carbohydrate degradation, suggesting why the functional consequences of the two experiments may have differed. Predictions of how terrestrial ecosystem processes respond to environmental change may thus be improved by considering the legacies of microbial communities. |
format | Online Article Text |
id | pubmed-5270563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52705632017-02-07 Microbial legacies alter decomposition in response to simulated global change Martiny, Jennifer BH Martiny, Adam C Weihe, Claudia Lu, Ying Berlemont, Renaud Brodie, Eoin L Goulden, Michael L Treseder, Kathleen K Allison, Steven D ISME J Original Article Terrestrial ecosystem models assume that microbial communities respond instantaneously, or are immediately resilient, to environmental change. Here we tested this assumption by quantifying the resilience of a leaf litter community to changes in precipitation or nitrogen availability. By manipulating composition within a global change experiment, we decoupled the legacies of abiotic parameters versus that of the microbial community itself. After one rainy season, more variation in fungal composition could be explained by the original microbial inoculum than the litterbag environment (18% versus 5.5% of total variation). This compositional legacy persisted for 3 years, when 6% of the variability in fungal composition was still explained by the microbial origin. In contrast, bacterial composition was generally more resilient than fungal composition. Microbial functioning (measured as decomposition rate) was not immediately resilient to the global change manipulations; decomposition depended on both the contemporary environment and rainfall the year prior. Finally, using metagenomic sequencing, we showed that changes in precipitation, but not nitrogen availability, altered the potential for bacterial carbohydrate degradation, suggesting why the functional consequences of the two experiments may have differed. Predictions of how terrestrial ecosystem processes respond to environmental change may thus be improved by considering the legacies of microbial communities. Nature Publishing Group 2017-02 2016-10-14 /pmc/articles/PMC5270563/ /pubmed/27740610 http://dx.doi.org/10.1038/ismej.2016.122 Text en Copyright © 2017 International Society for Microbial Ecology http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Original Article Martiny, Jennifer BH Martiny, Adam C Weihe, Claudia Lu, Ying Berlemont, Renaud Brodie, Eoin L Goulden, Michael L Treseder, Kathleen K Allison, Steven D Microbial legacies alter decomposition in response to simulated global change |
title | Microbial legacies alter decomposition in response to simulated global change |
title_full | Microbial legacies alter decomposition in response to simulated global change |
title_fullStr | Microbial legacies alter decomposition in response to simulated global change |
title_full_unstemmed | Microbial legacies alter decomposition in response to simulated global change |
title_short | Microbial legacies alter decomposition in response to simulated global change |
title_sort | microbial legacies alter decomposition in response to simulated global change |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270563/ https://www.ncbi.nlm.nih.gov/pubmed/27740610 http://dx.doi.org/10.1038/ismej.2016.122 |
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