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Estimating and mapping ecological processes influencing microbial community assembly

Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal resulting from organismal movement; and (iii) ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of...

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Autores principales: Stegen, James C., Lin, Xueju, Fredrickson, Jim K., Konopka, Allan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416444/
https://www.ncbi.nlm.nih.gov/pubmed/25983725
http://dx.doi.org/10.3389/fmicb.2015.00370
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author Stegen, James C.
Lin, Xueju
Fredrickson, Jim K.
Konopka, Allan E.
author_facet Stegen, James C.
Lin, Xueju
Fredrickson, Jim K.
Konopka, Allan E.
author_sort Stegen, James C.
collection PubMed
description Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal resulting from organismal movement; and (iii) ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of these processes can vary across environments. Selection can be homogeneous or variable, and while dispersal is a rate, we conceptualize extreme dispersal rates as two categories; dispersal limitation results from limited exchange of organisms among communities, and homogenizing dispersal results from high levels of organism exchange. To estimate the influence and spatial variation of each process we extend a recently developed statistical framework, use a simulation model to evaluate the accuracy of the extended framework, and use the framework to examine subsurface microbial communities over two geologic formations. For each subsurface community we estimate the degree to which it is influenced by homogeneous selection, variable selection, dispersal limitation, and homogenizing dispersal. Our analyses revealed that the relative influences of these ecological processes vary substantially across communities even within a geologic formation. We further identify environmental and spatial features associated with each ecological process, which allowed mapping of spatial variation in ecological-process-influences. The resulting maps provide a new lens through which ecological systems can be understood; in the subsurface system investigated here they revealed that the influence of variable selection was associated with the rate at which redox conditions change with subsurface depth.
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spelling pubmed-44164442015-05-15 Estimating and mapping ecological processes influencing microbial community assembly Stegen, James C. Lin, Xueju Fredrickson, Jim K. Konopka, Allan E. Front Microbiol Microbiology Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal resulting from organismal movement; and (iii) ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of these processes can vary across environments. Selection can be homogeneous or variable, and while dispersal is a rate, we conceptualize extreme dispersal rates as two categories; dispersal limitation results from limited exchange of organisms among communities, and homogenizing dispersal results from high levels of organism exchange. To estimate the influence and spatial variation of each process we extend a recently developed statistical framework, use a simulation model to evaluate the accuracy of the extended framework, and use the framework to examine subsurface microbial communities over two geologic formations. For each subsurface community we estimate the degree to which it is influenced by homogeneous selection, variable selection, dispersal limitation, and homogenizing dispersal. Our analyses revealed that the relative influences of these ecological processes vary substantially across communities even within a geologic formation. We further identify environmental and spatial features associated with each ecological process, which allowed mapping of spatial variation in ecological-process-influences. The resulting maps provide a new lens through which ecological systems can be understood; in the subsurface system investigated here they revealed that the influence of variable selection was associated with the rate at which redox conditions change with subsurface depth. Frontiers Media S.A. 2015-05-01 /pmc/articles/PMC4416444/ /pubmed/25983725 http://dx.doi.org/10.3389/fmicb.2015.00370 Text en Copyright © 2015 Stegen, Lin, Fredrickson and Konopka. 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
Stegen, James C.
Lin, Xueju
Fredrickson, Jim K.
Konopka, Allan E.
Estimating and mapping ecological processes influencing microbial community assembly
title Estimating and mapping ecological processes influencing microbial community assembly
title_full Estimating and mapping ecological processes influencing microbial community assembly
title_fullStr Estimating and mapping ecological processes influencing microbial community assembly
title_full_unstemmed Estimating and mapping ecological processes influencing microbial community assembly
title_short Estimating and mapping ecological processes influencing microbial community assembly
title_sort estimating and mapping ecological processes influencing microbial community assembly
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416444/
https://www.ncbi.nlm.nih.gov/pubmed/25983725
http://dx.doi.org/10.3389/fmicb.2015.00370
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