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 a fu...

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Autores: 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 Vives, 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.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/14010
Acceso en línea:http://hdl.handle.net/10256/14010
Access Level:acceso abierto
Palabra clave:Ecologia microbiana
Microbial ecology
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spelling Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?Graham, Emily B.Knelman, Joseph E.Schindlbacher, AndreasSiciliano, StevenBreulmann, MarcYannarell, AnthonyBeman, J.M.Abell, GuyPhilippot, LaurentProsser, JamesFoulquier, ArnaudYuste, Jorge C.Glanville, Helen C.Jones, Davey L.Angel, RoeySalminen, JanneNewton, Ryan J.Bürgmann, HelmutIngram, Lachlan J.Hamer, UteSiljanen, Henri M. P.Peltoniemi, KristaPotthast, KarinBañeras Vives, LluísHartmann, MartinBanerjee, SamiranYu, Ri-QingNogaro, GeraldineRichter, AndreasKoranda, MarianneCastle, Sarah C.Goberna, MartaSong, BongkeunChatterjee, AmitavaNunes, Olga C.Lopes, Ana R.Cao, YipingKaisermann, AuroreHallin, SaraStrickland, Michael S.Garcia-Pausas, JordiBarba, JosepKang, HojeongIsobe, KazuoPapaspyrou, SokratisPastorelli, RobertaLagomarsino, AlessandraLindström, Eva S.Basiliko, NathanNemergut, Diana R.Ecologia microbianaMicrobial ecologyMicroorganisms 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 physiologyFrontiers Media2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10256/14010http://hdl.handle.net/10256/14010Frontiers in Microbiology, 2016, vol.7, art.214Articles publicats (D-B)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2016.00214info:eu-repo/semantics/altIdentifier/eissn/1664-302XAttribution 4.0 Spainhttp://creativecommons.org/licenses/by/4.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:10256/140102026-05-29T05:05:01Z
dc.title.none.fl_str_mv Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
title Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
spellingShingle Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
Graham, Emily B.
Ecologia microbiana
Microbial ecology
title_short Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
title_full Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
title_fullStr Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
title_full_unstemmed Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
title_sort Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes?
dc.creator.none.fl_str_mv 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 Vives, 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.
author Graham, Emily B.
author_facet 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 Vives, 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.
author_role author
author2 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 Vives, 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.
author2_role author
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author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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dc.subject.none.fl_str_mv Ecologia microbiana
Microbial ecology
topic Ecologia microbiana
Microbial ecology
description 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
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/14010
http://hdl.handle.net/10256/14010
url http://hdl.handle.net/10256/14010
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2016.00214
info:eu-repo/semantics/altIdentifier/eissn/1664-302X
dc.rights.none.fl_str_mv Attribution 4.0 Spain
http://creativecommons.org/licenses/by/4.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 Spain
http://creativecommons.org/licenses/by/4.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv Frontiers in Microbiology, 2016, vol.7, art.214
Articles publicats (D-B)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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