Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?

Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address...

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Published in:	Frontiers in microbiology Vol. 7; no. C; p. 214
Main Authors:	Graham, Emily B., Knelman, Joseph E., Schindlbacher, Andreas, Siciliano, Steven, Breulmann, Marc, Yannarell, Anthony, Beman, J. M., Abell, Guy, Philippot, Laurent, Prosser, James, Foulquier, Arnaud, Yuste, Jorge C., Glanville, Helen C., Jones, Davey L., Angel, Roey, Salminen, Janne, Newton, Ryan J., Bürgmann, Helmut, Ingram, Lachlan J., Hamer, Ute, Siljanen, Henri M. P., Peltoniemi, Krista, Potthast, Karin, Bañeras, Lluís, Hartmann, Martin, Banerjee, Samiran, Yu, Ri-Qing, Nogaro, Geraldine, Richter, Andreas, Koranda, Marianne, Castle, Sarah C., Goberna, Marta, Song, Bongkeun, Chatterjee, Amitava, Nunes, Olga C., Lopes, Ana R., Cao, Yiping, Kaisermann, Aurore, Hallin, Sara, Strickland, Michael S., Garcia-Pausas, Jordi, Barba, Josep, Kang, Hojeong, Isobe, Kazuo, Papaspyrou, Sokratis, Pastorelli, Roberta, Lagomarsino, Alessandra, Lindström, Eva S., Basiliko, Nathan, Nemergut, Diana R.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media 24.02.2016 Frontiers Research Foundation Frontiers Media S.A
Subjects:	BASIC BIOLOGICAL SCIENCES Carbon Cycle Denitrification Ecologia microbiana Ecology ecosystem processes Ekologi ENVIRONMENTAL SCIENCES functional gene microbial diversity Microbial ecology Microbiology Mikrobiologi Nitrification Nitrogen Cycle Respiration statistical modeling functional gene nitrification ecosystem processes statistical modeling respiration microbial diversity microbial ecology denitrification
ISSN:	1664-302X, 1664-302X
Online Access:	Get full text
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Abstract	Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.
AbstractList	Microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: ‘When do we need to understand microbial community structure to accurately predict function?’ We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology. In this study, microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: ‘When do we need to understand microbial community structure to accurately predict function?’ We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology. Microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: ‘When do we need to understand microbial community structure to accurately predict function?’ We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.
Author	Hartmann, Martin Pastorelli, Roberta Foulquier, Arnaud Richter, Andreas Hallin, Sara Barba, Josep Siciliano, Steven Bürgmann, Helmut Peltoniemi, Krista Basiliko, Nathan Yuste, Jorge C. Newton, Ryan J. Bañeras, Lluís Schindlbacher, Andreas Knelman, Joseph E. Kaisermann, Aurore Nogaro, Geraldine Beman, J. M. Isobe, Kazuo Lopes, Ana R. Prosser, James Banerjee, Samiran Potthast, Karin Papaspyrou, Sokratis Ingram, Lachlan J. Nunes, Olga C. Jones, Davey L. Chatterjee, Amitava Nemergut, Diana R. Castle, Sarah C. Lagomarsino, Alessandra Hamer, Ute Siljanen, Henri M. P. Kang, Hojeong Abell, Guy Yannarell, Anthony Koranda, Marianne Breulmann, Marc Strickland, Michael S. Garcia-Pausas, Jordi Graham, Emily B. Goberna, Marta Philippot, Laurent Lindström, Eva S. Glanville, Helen C. Yu, Ri-Qing Song, Bongkeun Cao, Yiping Angel, Roey Salminen, Janne
AuthorAffiliation	24 Institute of Aquatic Ecology, Facultat de Ciències, University of Girona Girona, Spain 2 Biological Sciences Division, Pacific Northwest National Laboratory, Richland WA, USA 19 Centre for Carbon, Water and Food, The University of Sydney, Sydney NSW, Australia 21 Department of Environmental and Biological Sciences, University of Eastern Finland Kuopio, Finland 45 Research Centre for Agrobiology and Pedology Florence, Italy 15 Department of Microbiology and Ecosystem Science, University of Vienna Vienna, Austria 18 Department of Surface Waters, Eawag: Swiss Federal Institute of Aquatic Science and Technology Kastanienbaum, Switzerland 31 Department of Ecosystem and Conservation Sciences, University of Montana, Missoula MT, USA 28 EDF R&D, National Hydraulics and Environmental Laboratory Chatou, France 35 LEPABE - Laboratory for Process Engineering, Environmental, Biotechnology and Energy, Faculdade de Engenharia da Universidade do Porto Porto, Portugal 47 Vale Living with Lakes Centre and Depa
AuthorAffiliation_xml	– name: 43 Department of Applied Biological Chemistry, The University of Tokyo Tokyo, Japan – name: 4 Department of Forest Ecology, Federal Research and Training Centre for Forests, Bundesforschungs- und Ausbildungszentrum für Wald Vienna, Austria – name: 16 Häme University of Applied Sciences Hämeenlinna, Finland – name: 13 Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, Consejo Superior de Investigaciones Científicas Madrid, Spain – name: 3 US Department of Energy, Joint Genome Institute, Walnut Creek CA, USA – name: 21 Department of Environmental and Biological Sciences, University of Eastern Finland Kuopio, Finland – name: 26 CSIRO Agriculture Flagship, Crace ACT, Australia – name: 12 Irstea, UR MALY, Centre de Lyon-Villeurbanne Villeurbanne, France – name: 38 Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences Uppsala, Sweden – name: 27 Department of Biology, University of Texas at Tyler, Tyler TX, USA – name: 29 Department of Microbiology and Ecosystem Science, University of Vienna Vienna, Austria – name: 6 Helmholtz Centre for Environmental Research – Centre for Environmental Biotechnology Leipzig, Germany – name: 42 School of Civil and Environmental Engineering, Yonsei University Seoul, South Korea – name: 20 Institute of Landscape Ecology, University of Münster Münster, Germany – name: 34 AES School of Natural Resources Sciences, North Dakota State University, Fargo ND, USA – name: 8 Life and Environmental Sciences and Sierra Nevada Research Institute, University of California – Merced, Merced CA, USA – name: 40 Centre Tecnològic Forestal de Catalunya Solsona, Spain – name: 35 LEPABE - Laboratory for Process Engineering, Environmental, Biotechnology and Energy, Faculdade de Engenharia da Universidade do Porto Porto, Portugal – name: 41 Centre de Recerca Ecològica i Aplicacions Forestals, Cerdanyola del Vallès Barcelona, Spain – name: 1 Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder CO, USA – name: 2 Biological Sciences Division, Pacific Northwest National Laboratory, Richland WA, USA – name: 47 Vale Living with Lakes Centre and Department of Biology, Laurentian University, Sudbury ON, Canada – name: 7 Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana IL, USA – name: 44 Department of Biomedicine, Biotechnology and Public Health, University of Cadiz Puerto Real, Spain – name: 19 Centre for Carbon, Water and Food, The University of Sydney, Sydney NSW, Australia – name: 45 Research Centre for Agrobiology and Pedology Florence, Italy – name: 48 Biology Department, Duke University, Durham NC, USA – name: 17 School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee WI, USA – name: 32 Centro de Investigación y Docencia Económicas – Consejo Superior de Investigaciones Científicas Valencia, Spain – name: 18 Department of Surface Waters, Eawag: Swiss Federal Institute of Aquatic Science and Technology Kastanienbaum, Switzerland – name: 39 Department of Biological Sciences, Virginia Polytechnic Institute, State University, Blacksburg VA, USA – name: 36 Southern California Coastal Water Research Project Authority, Costa Mesa CA, USA – name: 10 Institut National de la Recherche Agronomique – Agroecology Dijon, France – name: 28 EDF R&D, National Hydraulics and Environmental Laboratory Chatou, France – name: 31 Department of Ecosystem and Conservation Sciences, University of Montana, Missoula MT, USA – name: 14 Environment Centre Wales, Bangor University Gwynedd, UK – name: 33 Department of Biological Science, Virginia Institute of Marine Science, Gloucester Point VA, USA – name: 46 Department of Ecology and Genetics/Limnology, Uppsala University Uppsala, Sweden – name: 25 Institute for Sustainability Sciences – Agroscope Zurich, Switzerland – name: 5 Department of Soil Science, University of Saskatchewan, Saskatoon SK, Canada – name: 23 Institute of Soil Science and Site Ecology, Technische University Dresden, Germany – name: 30 Division of Terrestrial Ecosystem Research, Department of Microbiology and Ecosystem Science, University of Vienna Vienna, Austria – name: 15 Department of Microbiology and Ecosystem Science, University of Vienna Vienna, Austria – name: 22 Natural Resources Institute Vantaa, Finland – name: 9 School of Medicine, Flinders University, Adelaide SA, Australia – name: 24 Institute of Aquatic Ecology, Facultat de Ciències, University of Girona Girona, Spain – name: 37 UMR, Interactions Sol Plante Atmosphère, INRA Bordeaux Villenave d’Ornon, France – name: 11 Institute of Biological and Environmental Sciences, University of Aberdeen Aberdeen, UK
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Cites_doi	10.1098/rspb.2014.2620 10.1073/pnas.0611525104 10.1007/s10533-011-9635-6 10.1038/nature06810 10.1016/j.tree.2014.07.002 10.1007/s10533-011-9641-8 10.5194/bgd-6-3655-2009 10.1111/j.1365-2435.2008.01402.x 10.1016/S0038-0717(03)00015-4 10.1111/ele.12269 10.3389/fmicb.2014.00424 10.1016/S1369-5274(02)00324-7 10.1073/pnas.1320054111 10.1016/0167-8809(92)90081-L 10.1126/science.aac9323 10.1038/nrmicro1643 10.1046/j.1365-2486.1998.00195.x 10.1111/j.1365-2664.2011.02048.x 10.1007/s10533-014-0058-z 10.1016/0167-1987(96)01008-2 10.1038/nclimate2301 10.1073/pnas.0801925105 10.1038/ismej.2012.160 10.1111/j.1574-6941.2010.00988.x 10.1016/0038-0717(88)90082-X 10.1038/ismej.2009.109 10.1038/ismej.2011.119 10.1111/1574-6941.12346 10.1890/14-1127.1 10.1023/A:1006244819642 10.3389/fmicb.2012.00364 10.1016/S0169-5347(97)01274-3 10.1111/j.1462-2920.2010.02315.x 10.1111/j.1461-0248.2011.01685.x 10.1073/pnas.1313713111 10.1007/s10021-005-0047-0 10.3389/fmicb.2014.00497 10.1016/j.soilbio.2013.08.024 10.1038/ismej.2014.120 10.1016/j.apsoil.2003.07.001 10.1038/23932 10.1128/AEM.00335-09 10.1128/MMBR.00051-12 10.1016/j.csbj.2014.11.009 10.1890/04-0340 10.1038/ismej.2012.22 10.1038/nature13855 10.1016/j.soilbio.2014.02.008 10.1038/ismej.2014.252 10.1890/ES13-00155.1 10.1177/0049124104268644 10.1073/pnas.1215210110 10.1038/nclimate1951 10.1016/j.soilbio.2013.08.023 10.1016/j.tree.2011.03.024 10.1111/j.1461-0248.2010.01465.x 10.1073/pnas.0912765107 10.1038/nclimate2361 10.1111/j.1461-0248.2007.01139.x 10.1038/nrmicro2504 10.1093/femsec/fiv113 10.1111/j.1462-2920.2011.02679.x
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Copyright	Attribution 4.0 Spain info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/es Copyright © 2016 Graham, Knelman, Schindlbacher, Siciliano, Breulmann, Yannarell, Beman, Abell, Philippot, Prosser, Foulquier, Yuste, Glanville, Jones, Angel, Salminen, Newton, Bürgmann, Ingram, Hamer, Siljanen, Peltoniemi, Potthast, Bañeras, Hartmann, Banerjee, Yu, Nogaro, Richter, Koranda, Castle, Goberna, Song, Chatterjee, Nunes, Lopes, Cao, Kaisermann, Hallin, Strickland, Garcia-Pausas, Barba, Kang, Isobe, Papaspyrou, Pastorelli, Lagomarsino, Lindström, Basiliko and Nemergut. 2016 Graham, Knelman, Schindlbacher, Siciliano, Breulmann, Yannarell, Beman, Abell, Philippot, Prosser, Foulquier, Yuste, Glanville, Jones, Angel, Salminen, Newton, Bürgmann, Ingram, Hamer, Siljanen, Peltoniemi, Potthast, Bañeras, Hartmann, Banerjee, Yu, Nogaro, Richter, Koranda, Castle, Goberna, Song, Chatterjee, Nunes, Lopes, Cao, Kaisermann, Hallin, Strickland, Garcia-Pausas, Barba, Kang, Isobe, Papaspyrou, Pastorelli, Lagomarsino, Lindström, Basiliko and Nemergut
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Keywords	functional gene nitrification ecosystem processes statistical modeling respiration microbial diversity microbial ecology denitrification
Language	English
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 USDOE DEB1221215; AC0576RL01830 Edited by: Gary M. King, Louisiana State University, USA Reviewed by: Steffen Kolb, Landscape Biogeochemistry – Leibniz Centre for Agricultural Landscape Research, Germany; Hongchen Jiang, Miami University, USA; Kristen M. DeAngelis, University of Massachusetts Amherst, USA This article was submitted to Terrestrial Microbiology, a section of the journal Frontiers in Microbiology
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References	Allison (B3) 2008; 105 Jones (B30) 2014; 4 Todd-Brown (B59) 2012; 109 Bier (B8) 2015; 91 Wagg (B64) 2014; 111 Stegen (B57) 2012; 6 Barton (B7) 2011 Lauber (B34) 2009; 75 Nemergut (B42) 2011; 13 van der Heijden (B62) 1998; 396 Nemergut (B43) 2013; 77 Powell (B47) 2015; 96 DeWitt (B17) 1998; 13 Wieder (B68) 2013; 3 Auguet (B4) 2010; 4 Gupta (B26) 1988; 20 Knelman (B33) 2014; 5 Barberán (B5) 2012; 6 Gagic (B24) 2015; 282 Blagodatskaya (B9) 2013; 67 Martiny (B40) 2015; 350 Carney (B14) 2005; 8 Graham (B25) 2014; 68 Schimel (B54) 1998; 4 Oksanen (B45) 2013 Burnham (B12) 2004; 33 Sinsabaugh (B56) 2015; 122 R Core Team (B49) 2014 Torsvik (B60) 2002; 5 Fukami (B23) 2010; 13 Rocca (B51) 2014; 9 Walker (B65) 2014; 29 Bardgett (B6) 2014; 515 Schimel (B53) 1995 Burnham (B11) 2002 Hubbell (B29) 2001 Hagerty (B27) 2014; 4 Prosser (B48) 2007; 5 Lozupone (B37) 2007; 104 Wallenstein (B66) 2012; 109 Ferris (B20) 2004; 25 Petersen (B46) 2012; 14 Martiny (B39) 2013; 7 Chan (B15) 1996; 37 Fukami (B22) 2004; 85 Bouskill (B10) 2012; 3 Fierer (B21) 2012; 109 Lira-Noriega (B36) 2013; 4 Hanson (B28) 2000; 48 Manzoni (B38) 2014; 73 Verbaendert (B63) 2014; 89 Abram (B2) 2015; 13 Talbot (B58) 2008; 22 Rosindell (B52) 2011; 26 Nemergut (B44) 2014; 5 Schimel (B55) 2003; 35 Lennon (B35) 2011; 9 Cadotte (B13) 2011; 48 Dinsdale (B19) 2008; 452 Reed (B50) 2014; 111 Jones (B31) 2010; 107 van der Heijden (B61) 2008; 11 Abell (B1) 2011; 75 Kaiser (B32) 2014; 17 Wang (B67) 2015; 9 Clark (B16) 2011; 14 Middelburg (B41) 2009; 6 Dick (B18) 1992; 40 24784780 - FEMS Microbiol Ecol. 2014 Jul;89(1):162-80 18337718 - Nature. 2008 Apr 3;452(7187):629-32 24628731 - Ecol Lett. 2014 Jun;17(6):680-90 21238209 - Trends Ecol Evol. 1998 Feb 1;13(2):77-81 24449851 - Proc Natl Acad Sci U S A. 2014 Feb 4;111(5):1879-84 24639507 - Proc Natl Acad Sci U S A. 2014 Apr 8;111(14):5266-70 18695234 - Proc Natl Acad Sci U S A. 2008 Aug 12;105 Suppl 1:11512-9 25535936 - ISME J. 2015 Aug;9(8):1693-9 20231463 - Proc Natl Acad Sci U S A. 2010 Mar 30;107(13):5881-6 21083579 - FEMS Microbiol Ecol. 2011 Jan;75(1):111-22 21978194 - Ecol Lett. 2011 Dec;14(12):1273-87 17592124 - Proc Natl Acad Sci U S A. 2007 Jul 3;104(27):11436-40 21561679 - Trends Ecol Evol. 2011 Jul;26(7):340-8 24006468 - Microbiol Mol Biol Rev. 2013 Sep;77(3):342-56 25012899 - ISME J. 2015 Jan;9(1):226-37 22456445 - ISME J. 2012 Sep;6(9):1653-64 23087681 - Front Microbiol. 2012 Oct 18;3:364 20412280 - Ecol Lett. 2010 Jun;13(6):675-84 26371074 - FEMS Microbiol Ecol. 2015 Oct;91(10):null 18047587 - Ecol Lett. 2008 Mar;11(3):296-310 26542581 - Science. 2015 Nov 6;350(6261):aac9323 19847207 - ISME J. 2010 Feb;4(2):182-90 12057676 - Curr Opin Microbiol. 2002 Jun;5(3):240-5 26378320 - Ecology. 2015 Jul;96(7):1985-93 25165465 - Front Microbiol. 2014 Aug 13;5:424 19502440 - Appl Environ Microbiol. 2009 Aug;75(15):5111-20 23235290 - ISME J. 2013 Apr;7(4):830-8 21900968 - ISME J. 2012 Feb;6(2):343-51 22225623 - Environ Microbiol. 2012 Apr;14(4):993-1008 17435792 - Nat Rev Microbiol. 2007 May;5(5):384-92 21199253 - Environ Microbiol. 2011 Jan;13(1):135-44 23236140 - Proc Natl Acad Sci U S A. 2012 Dec 26;109(52):21390-5 25567651 - Proc Biol Sci. 2015 Feb 22;282(1801):20142620 21233850 - Nat Rev Microbiol. 2011 Feb;9(2):119-30 25428498 - Nature. 2014 Nov 27;515(7528):505-11 25750697 - Comput Struct Biotechnol J. 2014 Dec 03;13:24-32 25309525 - Front Microbiol. 2014 Sep 26;5:497 25085040 - Trends Ecol Evol. 2014 Sep;29(9):504-10
References_xml	– volume: 282 issue: 20142620 year: 2015 ident: B24 article-title: Functional identity and diversity of animals predict ecosystem functioning better than species-based indices. publication-title: Proc. R. Soc. Biol. Sci. U.S.A. doi: 10.1098/rspb.2014.2620 – volume: 104 start-page: 11436 year: 2007 ident: B37 article-title: Global patterns in bacterial diversity. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.0611525104 – volume: 109 start-page: 19 year: 2012 ident: B59 article-title: A framework for representing microbial decomposition in coupled climate models. publication-title: Biogeochemistry doi: 10.1007/s10533-011-9635-6 – volume: 452 start-page: 629 year: 2008 ident: B19 article-title: Functional metagenomic profiling of nine biomes. publication-title: Nature doi: 10.1038/nature06810 – volume: 29 start-page: 504 year: 2014 ident: B65 article-title: Plant succession as an integrator of contrasting ecological time scales. publication-title: Trends Ecol. Evol. doi: 10.1016/j.tree.2014.07.002 – volume: 109 start-page: 35 year: 2012 ident: B66 article-title: A trait-based framework for predicting when and where microbial adaptation to climate change will affect ecosystem functioning. publication-title: Biogeochemistry doi: 10.1007/s10533-011-9641-8 – year: 2002 ident: B11 publication-title: Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. – volume: 6 start-page: 3655 year: 2009 ident: B41 article-title: Coastal hypoxia and sediment biogeochemistry. publication-title: Biogeosciences doi: 10.5194/bgd-6-3655-2009 – year: 2014 ident: B49 publication-title: R: A Language and Environment for Statistical Computing. – volume: 22 start-page: 955 year: 2008 ident: B58 article-title: Decomposers in disguise: mycorrhizal fungi as regulators of soil C dynamics in ecosystems under global change. publication-title: Funct. Ecol. doi: 10.1111/j.1365-2435.2008.01402.x – volume: 35 start-page: 549 year: 2003 ident: B55 article-title: The implications of exoenzyme activity on microbial carbon and nitrogen limitation in soil: a theoretical model. publication-title: Soil Biol. Biochem. doi: 10.1016/S0038-0717(03)00015-4 – volume: 17 start-page: 680 year: 2014 ident: B32 article-title: Microbial community dynamics alleviate stoichiometric constraints during litter decay. publication-title: Ecol. Lett. doi: 10.1111/ele.12269 – volume: 5 issue: 424 year: 2014 ident: B33 article-title: Changes in community assembly may shift the relationship between biodiversity and ecosystem function. publication-title: Front. Microbiol. doi: 10.3389/fmicb.2014.00424 – volume: 5 start-page: 240 year: 2002 ident: B60 article-title: Microbial diversity and function in soil: from genes to ecosystems. publication-title: Curr. Opin. Microbiol. doi: 10.1016/S1369-5274(02)00324-7 – volume: 111 start-page: 5266 year: 2014 ident: B64 article-title: Soil biodiversity and soil community composition determine ecosystem multifunctionality. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.1320054111 – volume: 40 start-page: 25 year: 1992 ident: B18 article-title: A review: long-term effects of agricultural systems on soil biochemical and microbial parameters. publication-title: Agric. Ecosyst. Environ. doi: 10.1016/0167-8809(92)90081-L – volume: 350 issue: aac9323 year: 2015 ident: B40 article-title: Microbiomes in light of traits: a phylogenetic perspective. publication-title: Science doi: 10.1126/science.aac9323 – volume: 5 start-page: 384 year: 2007 ident: B48 article-title: The role of ecological theory in microbial ecology. publication-title: Nat. Rev. Microbiol. doi: 10.1038/nrmicro1643 – volume: 4 start-page: 745 year: 1998 ident: B54 article-title: Microbial community structure and global trace gases. publication-title: Glob. Chang. Biol. doi: 10.1046/j.1365-2486.1998.00195.x – volume: 48 start-page: 1079 year: 2011 ident: B13 article-title: Beyond species: functional diversity and the maintenance of ecological processes and services. publication-title: J. Appl. Ecol. doi: 10.1111/j.1365-2664.2011.02048.x – volume: 122 start-page: 175 year: 2015 ident: B56 article-title: Scaling microbial biomass, metabolism and resource supply. publication-title: Biogeochemistry doi: 10.1007/s10533-014-0058-z – volume: 37 start-page: 113 year: 1996 ident: B15 article-title: The influence of crop rotation on soil structure and soil physical properties under conventional tillage. publication-title: Soil Tillage Res. doi: 10.1016/0167-1987(96)01008-2 – volume: 4 start-page: 801 year: 2014 ident: B30 article-title: Recently identified microbial guild mediates soil N2O sink capacity. publication-title: Nat. Clim. Chang. doi: 10.1038/nclimate2301 – volume: 105 start-page: 11512 year: 2008 ident: B3 article-title: Resistance, resilience, and redundancy in microbial communities. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.0801925105 – volume: 7 start-page: 830 year: 2013 ident: B39 article-title: Phylogenetic conservatism of functional traits in microorganisms. publication-title: ISME J. doi: 10.1038/ismej.2012.160 – volume: 75 start-page: 111 year: 2011 ident: B1 article-title: Effects of estuarine sediment hypoxia on nitrogen fluxes and ammonia oxidizer gene transcription. publication-title: FEMS Microbiol. Ecol. doi: 10.1111/j.1574-6941.2010.00988.x – volume: 20 start-page: 777 year: 1988 ident: B26 article-title: Distribution of microbial biomass and its activity in different soil aggregate size classes as affected by cultivation. publication-title: Soil Biol. Biochem. doi: 10.1016/0038-0717(88)90082-X – volume: 4 start-page: 182 year: 2010 ident: B4 article-title: Global ecological patterns in uncultured Archaea. publication-title: ISME J. doi: 10.1038/ismej.2009.109 – volume: 6 start-page: 343 year: 2012 ident: B5 article-title: Using network analysis to explore co-occurrence patterns in soil microbial communities. publication-title: ISME J. doi: 10.1038/ismej.2011.119 – volume: 89 start-page: 162 year: 2014 ident: B63 article-title: Primers for overlooked nirK, qnorB, and nosZ genes of thermophilic Gram-positive denitrifiers. publication-title: FEMS Microbiol. Ecol. doi: 10.1111/1574-6941.12346 – volume: 96 start-page: 1985 year: 2015 ident: B47 article-title: Microbial functional diversity enhances predictive models linking environmental parameters to ecosystem properties. publication-title: Ecology doi: 10.1890/14-1127.1 – volume: 48 start-page: 115 year: 2000 ident: B28 article-title: Separating root and soil microbial contributions to soil respiration: a review of methods and observations. publication-title: Biogeochemistry doi: 10.1023/A:1006244819642 – volume: 3 issue: 364 year: 2012 ident: B10 article-title: Trait-based representation of biological nitrification: model development, testing, and predicted community composition. publication-title: Front. Microbiol. doi: 10.3389/fmicb.2012.00364 – year: 2001 ident: B29 publication-title: The Unified Neutral Theory of Biodiversity and Biogeography (MPB-32). – volume: 13 start-page: 77 year: 1998 ident: B17 article-title: Costs and limits of phenotypic plasticity. publication-title: Trends Ecol. Evol. doi: 10.1016/S0169-5347(97)01274-3 – year: 2013 ident: B45 article-title: Package ‘Vegan’. publication-title: Community0 Ecology Package, Version 2. – volume: 13 start-page: 135 year: 2011 ident: B42 article-title: Global patterns in the biogeography of bacterial taxa. publication-title: Environ. Microbiol. doi: 10.1111/j.1462-2920.2010.02315.x – volume: 14 start-page: 1273 year: 2011 ident: B16 article-title: Individual-scale variation, species-scale differences: inference needed to understand diversity. publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2011.01685.x – volume: 111 start-page: 1879 year: 2014 ident: B50 article-title: Gene-centric approach to integrating environmental genomics and biogeochemical models. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.1313713111 – volume: 8 start-page: 928 year: 2005 ident: B14 article-title: Plant communities, soil microorganisms, and soil carbon cycling: does altering the world belowground matter to ecosystem functioning? publication-title: Ecosystems doi: 10.1007/s10021-005-0047-0 – volume: 5 issue: 497 year: 2014 ident: B44 article-title: When, where and how does microbial community composition matter? publication-title: Front. Microbiol. doi: 10.3389/fmicb.2014.00497 – volume: 67 start-page: 192 year: 2013 ident: B9 article-title: Active microorganisms in soil: critical review of estimation criteria and approaches. publication-title: Soil Biol. Biochem. doi: 10.1016/j.soilbio.2013.08.024 – start-page: 239 year: 1995 ident: B53 article-title: “Ecosystem consequences of microbial diversity and community structure,” in publication-title: Arctic and Alpine Biodiversity: Patterns, Causes and Ecosystem Consequences – volume: 9 start-page: 226 year: 2015 ident: B67 article-title: Microbial dormancy improves development and experimental validation of ecosystem model. publication-title: ISME J. doi: 10.1038/ismej.2014.120 – volume: 25 start-page: 19 year: 2004 ident: B20 article-title: Soil management to enhance bacterivore and fungivore nematode populations and their nitrogen mineralisation function. publication-title: Appl. Soil Ecol. doi: 10.1016/j.apsoil.2003.07.001 – volume: 396 start-page: 69 year: 1998 ident: B62 article-title: Mycorrhizal fungal diversity determines plant biodiversity, ecosystem variability and productivity. publication-title: Nature doi: 10.1038/23932 – volume: 75 start-page: 5111 year: 2009 ident: B34 article-title: Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale. publication-title: Appl. Environ. Microbiol. doi: 10.1128/AEM.00335-09 – volume: 77 start-page: 342 year: 2013 ident: B43 article-title: Patterns and processes of microbial community assembly. publication-title: Microbiol. Mol. Biol. Rev. doi: 10.1128/MMBR.00051-12 – volume: 13 start-page: 24 year: 2015 ident: B2 article-title: Systems-based approaches to unravel multi-species microbial community functioning. publication-title: Comput. Struct. Biotechnol. J. doi: 10.1016/j.csbj.2014.11.009 – volume: 85 start-page: 3234 year: 2004 ident: B22 article-title: Assembly history interacts with ecosystem size to influence species diversity. publication-title: Ecology doi: 10.1890/04-0340 – volume: 6 start-page: 1653 year: 2012 ident: B57 article-title: Stochastic and deterministic assembly processes in subsurface microbial communities. publication-title: ISME J. doi: 10.1038/ismej.2012.22 – volume: 515 start-page: 505 year: 2014 ident: B6 article-title: Belowground biodiversity and ecosystem functioning. publication-title: Nature doi: 10.1038/nature13855 – year: 2011 ident: B7 publication-title: MuMIn: Multi-Model Inference. R Package Version 1.0. 0. – volume: 73 start-page: 69 year: 2014 ident: B38 article-title: A theoretical analysis of microbial eco-physiological and diffusion limitations to carbon cycling in drying soils. publication-title: Soil Biol. Biochem. doi: 10.1016/j.soilbio.2014.02.008 – volume: 9 start-page: 1693 year: 2014 ident: B51 article-title: Relationships between protein-encoding gene abundance and corresponding process are commonly assumed yet rarely observed. publication-title: ISME J. doi: 10.1038/ismej.2014.252 – volume: 4 issue: art99 year: 2013 ident: B36 article-title: Process-based and correlative modeling of desert mistletoe distribution: a multiscalar approach. publication-title: Ecosphere doi: 10.1890/ES13-00155.1 – volume: 33 start-page: 261 year: 2004 ident: B12 article-title: Multimodel inference understanding AIC and BIC in model selection. publication-title: Sociol. Methods Res. doi: 10.1177/0049124104268644 – volume: 109 start-page: 21390 year: 2012 ident: B21 article-title: Cross-biome metagenomic analyses of soil microbial communities and their functional attributes. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.1215210110 – volume: 3 start-page: 909 year: 2013 ident: B68 article-title: Global soil carbon projections are improved by modelling microbial processes. publication-title: Nat. Clim. Chang. doi: 10.1038/nclimate1951 – volume: 68 start-page: 279 year: 2014 ident: B25 article-title: Do we need to understand microbial communities to predict ecosystem function? A comparison of statistical models of nitrogen cycling processes. publication-title: Soil Biol. Biochem. doi: 10.1016/j.soilbio.2013.08.023 – volume: 26 start-page: 340 year: 2011 ident: B52 article-title: The unified neutral theory of biodiversity and biogeography at age ten. publication-title: Trends Ecol. Evol. doi: 10.1016/j.tree.2011.03.024 – volume: 13 start-page: 675 year: 2010 ident: B23 article-title: Assembly history dictates ecosystem functioning: evidence from wood decomposer communities. publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2010.01465.x – volume: 107 start-page: 5881 year: 2010 ident: B31 article-title: Dormancy contributes to the maintenance of microbial diversity. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.0912765107 – volume: 4 start-page: 903 year: 2014 ident: B27 article-title: Accelerated microbial turnover but constant growth efficiency with warming in soil. publication-title: Nat. Clim. Chang. doi: 10.1038/nclimate2361 – volume: 11 start-page: 296 year: 2008 ident: B61 article-title: The unseen majority: soil microbes as drivers of plant diversity and productivity in terrestrial ecosystems. publication-title: Ecol. Lett. doi: 10.1111/j.1461-0248.2007.01139.x – volume: 9 start-page: 119 year: 2011 ident: B35 article-title: Microbial seed banks: the ecological and evolutionary implications of dormancy. publication-title: Nat. Rev. Microbiol. doi: 10.1038/nrmicro2504 – volume: 91 issue: fiv113 year: 2015 ident: B8 article-title: Linking microbial community structure and microbial processes: an empirical and conceptual overview. publication-title: FEMS Microbiol. Ecol. doi: 10.1093/femsec/fiv113 – volume: 14 start-page: 993 year: 2012 ident: B46 article-title: Abundance of microbial genes associated with nitrogen cycling as indices of biogeochemical process rates across a vegetation gradient in Alaska. publication-title: Environ. Microbiol. doi: 10.1111/j.1462-2920.2011.02679.x – reference: 26378320 - Ecology. 2015 Jul;96(7):1985-93 – reference: 20412280 - Ecol Lett. 2010 Jun;13(6):675-84 – reference: 26371074 - FEMS Microbiol Ecol. 2015 Oct;91(10):null – reference: 25085040 - Trends Ecol Evol. 2014 Sep;29(9):504-10 – reference: 23235290 - ISME J. 2013 Apr;7(4):830-8 – reference: 18337718 - Nature. 2008 Apr 3;452(7187):629-32 – reference: 18695234 - Proc Natl Acad Sci U S A. 2008 Aug 12;105 Suppl 1:11512-9 – reference: 21561679 - Trends Ecol Evol. 2011 Jul;26(7):340-8 – reference: 19847207 - ISME J. 2010 Feb;4(2):182-90 – reference: 21900968 - ISME J. 2012 Feb;6(2):343-51 – reference: 24006468 - Microbiol Mol Biol Rev. 2013 Sep;77(3):342-56 – reference: 18047587 - Ecol Lett. 2008 Mar;11(3):296-310 – reference: 26542581 - Science. 2015 Nov 6;350(6261):aac9323 – reference: 25535936 - ISME J. 2015 Aug;9(8):1693-9 – reference: 17592124 - Proc Natl Acad Sci U S A. 2007 Jul 3;104(27):11436-40 – reference: 24639507 - Proc Natl Acad Sci U S A. 2014 Apr 8;111(14):5266-70 – reference: 23236140 - Proc Natl Acad Sci U S A. 2012 Dec 26;109(52):21390-5 – reference: 25309525 - Front Microbiol. 2014 Sep 26;5:497 – reference: 24784780 - FEMS Microbiol Ecol. 2014 Jul;89(1):162-80 – reference: 24449851 - Proc Natl Acad Sci U S A. 2014 Feb 4;111(5):1879-84 – reference: 24628731 - Ecol Lett. 2014 Jun;17(6):680-90 – reference: 25428498 - Nature. 2014 Nov 27;515(7528):505-11 – reference: 25165465 - Front Microbiol. 2014 Aug 13;5:424 – reference: 25567651 - Proc Biol Sci. 2015 Feb 22;282(1801):20142620 – reference: 21233850 - Nat Rev Microbiol. 2011 Feb;9(2):119-30 – reference: 12057676 - Curr Opin Microbiol. 2002 Jun;5(3):240-5 – reference: 19502440 - Appl Environ Microbiol. 2009 Aug;75(15):5111-20 – reference: 21083579 - FEMS Microbiol Ecol. 2011 Jan;75(1):111-22 – reference: 22456445 - ISME J. 2012 Sep;6(9):1653-64 – reference: 25750697 - Comput Struct Biotechnol J. 2014 Dec 03;13:24-32 – reference: 23087681 - Front Microbiol. 2012 Oct 18;3:364 – reference: 21238209 - Trends Ecol Evol. 1998 Feb 1;13(2):77-81 – reference: 21199253 - Environ Microbiol. 2011 Jan;13(1):135-44 – reference: 22225623 - Environ Microbiol. 2012 Apr;14(4):993-1008 – reference: 25012899 - ISME J. 2015 Jan;9(1):226-37 – reference: 21978194 - Ecol Lett. 2011 Dec;14(12):1273-87 – reference: 20231463 - Proc Natl Acad Sci U S A. 2010 Mar 30;107(13):5881-6 – reference: 17435792 - Nat Rev Microbiol. 2007 May;5(5):384-92
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Snippet	Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial... Microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial... In this study, microorganisms are vital in mediating the earth’s biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex...
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SubjectTerms	BASIC BIOLOGICAL SCIENCES Carbon Cycle Denitrification Ecologia microbiana Ecology ecosystem processes Ekologi ENVIRONMENTAL SCIENCES functional gene microbial diversity Microbial ecology Microbiology Mikrobiologi Nitrification Nitrogen Cycle Respiration statistical modeling
Title	Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
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