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Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism

Community assembly processes generate shifts in species abundances that influence ecosystem cycling of carbon and nutrients, yet our understanding of assembly remains largely separate from ecosystem-level functioning. Here, we investigate relationships between assembly and changes in microbial metab...

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Autores principales: Graham, Emily B., Crump, Alex R., Resch, Charles T., Fansler, Sarah, Arntzen, Evan, Kennedy, David W., Fredrickson, Jim K., Stegen, James C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226446/
https://www.ncbi.nlm.nih.gov/pubmed/28123379
http://dx.doi.org/10.3389/fmicb.2016.01949
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author Graham, Emily B.
Crump, Alex R.
Resch, Charles T.
Fansler, Sarah
Arntzen, Evan
Kennedy, David W.
Fredrickson, Jim K.
Stegen, James C.
author_facet Graham, Emily B.
Crump, Alex R.
Resch, Charles T.
Fansler, Sarah
Arntzen, Evan
Kennedy, David W.
Fredrickson, Jim K.
Stegen, James C.
author_sort Graham, Emily B.
collection PubMed
description Community assembly processes generate shifts in species abundances that influence ecosystem cycling of carbon and nutrients, yet our understanding of assembly remains largely separate from ecosystem-level functioning. Here, we investigate relationships between assembly and changes in microbial metabolism across space and time in hyporheic microbial communities. We pair sampling of two habitat types (i.e., attached and planktonic) through seasonal and sub-hourly hydrologic fluctuation with null modeling and temporally explicit multivariate statistics. We demonstrate that multiple selective pressures—imposed by sediment and porewater physicochemistry—integrate to generate changes in microbial community composition at distinct timescales among habitat types. These changes in composition are reflective of contrasting associations of Betaproteobacteria and Thaumarchaeota with ecological selection and with seasonal changes in microbial metabolism. We present a conceptual model based on our results in which metabolism increases when oscillating selective pressures oppose temporally stable selective pressures. Our conceptual model is pertinent to both macrobial and microbial systems experiencing multiple selective pressures and presents an avenue for assimilating community assembly processes into predictions of ecosystem-level functioning.
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spelling pubmed-52264462017-01-25 Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism Graham, Emily B. Crump, Alex R. Resch, Charles T. Fansler, Sarah Arntzen, Evan Kennedy, David W. Fredrickson, Jim K. Stegen, James C. Front Microbiol Microbiology Community assembly processes generate shifts in species abundances that influence ecosystem cycling of carbon and nutrients, yet our understanding of assembly remains largely separate from ecosystem-level functioning. Here, we investigate relationships between assembly and changes in microbial metabolism across space and time in hyporheic microbial communities. We pair sampling of two habitat types (i.e., attached and planktonic) through seasonal and sub-hourly hydrologic fluctuation with null modeling and temporally explicit multivariate statistics. We demonstrate that multiple selective pressures—imposed by sediment and porewater physicochemistry—integrate to generate changes in microbial community composition at distinct timescales among habitat types. These changes in composition are reflective of contrasting associations of Betaproteobacteria and Thaumarchaeota with ecological selection and with seasonal changes in microbial metabolism. We present a conceptual model based on our results in which metabolism increases when oscillating selective pressures oppose temporally stable selective pressures. Our conceptual model is pertinent to both macrobial and microbial systems experiencing multiple selective pressures and presents an avenue for assimilating community assembly processes into predictions of ecosystem-level functioning. Frontiers Media S.A. 2016-12-16 /pmc/articles/PMC5226446/ /pubmed/28123379 http://dx.doi.org/10.3389/fmicb.2016.01949 Text en Copyright © 2016 Graham, Crump, Resch, Fansler, Arntzen, Kennedy, Fredrickson and Stegen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Graham, Emily B.
Crump, Alex R.
Resch, Charles T.
Fansler, Sarah
Arntzen, Evan
Kennedy, David W.
Fredrickson, Jim K.
Stegen, James C.
Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
title Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
title_full Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
title_fullStr Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
title_full_unstemmed Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
title_short Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
title_sort coupling spatiotemporal community assembly processes to changes in microbial metabolism
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226446/
https://www.ncbi.nlm.nih.gov/pubmed/28123379
http://dx.doi.org/10.3389/fmicb.2016.01949
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