Phage-bacteria infection networks
Phage and their bacterial hosts are the most abundant and genetically diverse group of organisms on the planet. Given their dominance, it is no wonder that many recent studies have found that phage-bacteria interactions strongly influence global biogeochemical cycles, incidence of human diseases, productivity of industrial microbial commodities, and patterns of microbial genome diversity. Unfortunately, given the extreme diversity and complexity of microbial communities, traditional analyses fail to characterize interaction patterns and underlying processes. Here, we review emerging systems approaches that combine empirical data with rigorous theoretical analysis to study phage-bacterial interactions as networks rather than as coupled interactions in isolation. © 2012 Elsevier Ltd.
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Elsevier
2013-02
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Subjects: | Complex networks, Theory, Functional diversity, Biodiversity, Ecosystem, Microbial ecology, |
Online Access: | http://hdl.handle.net/10261/115423 http://dx.doi.org/10.13039/100000913 http://dx.doi.org/10.13039/100000861 http://dx.doi.org/10.13039/100000936 http://dx.doi.org/10.13039/501100001665 http://dx.doi.org/10.13039/501100003151 |
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dig-ibe-es-10261-1154232018-10-03T10:17:11Z Phage-bacteria infection networks Weitz, Joshua S. Poisot, Timothée Meyer, Justin R. Flores, Cesar O. Valverde, Sergi Sullivan, Matthew B. Hochberg, Michael E. James S. McDonnell Foundation Burroughs Wellcome Fund Gordon and Betty Moore Foundation Agence Nationale de la Recherche (France) Fonds de Recherche Nature et Technologies (Canada) Complex networks Theory Functional diversity Biodiversity Ecosystem Microbial ecology Phage and their bacterial hosts are the most abundant and genetically diverse group of organisms on the planet. Given their dominance, it is no wonder that many recent studies have found that phage-bacteria interactions strongly influence global biogeochemical cycles, incidence of human diseases, productivity of industrial microbial commodities, and patterns of microbial genome diversity. Unfortunately, given the extreme diversity and complexity of microbial communities, traditional analyses fail to characterize interaction patterns and underlying processes. Here, we review emerging systems approaches that combine empirical data with rigorous theoretical analysis to study phage-bacterial interactions as networks rather than as coupled interactions in isolation. © 2012 Elsevier Ltd. This research was supported by grants from the James S. McDonnell Foundation and the Burroughs Wellcome Fund (to J.S.W.), the MELS and FQRNT (to T.P.), the Gordon and Betty Moore Foundation (to M.B.S.), and the Agence National de Recherche (‘EvolStress’) and the James S. McDonnell Foundation (to M.E.H.). Peer Reviewed 2015-05-19T12:26:01Z 2015-05-19T12:26:01Z 2013-02 2015-05-19T12:26:01Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1016/j.tim.2012.11.003 issn: 0966-842X e-issn: 1878-4380 Trends in Microbiology 21(2): 82-91 (2013) http://hdl.handle.net/10261/115423 10.1016/j.tim.2012.11.003 http://dx.doi.org/10.13039/100000913 http://dx.doi.org/10.13039/100000861 http://dx.doi.org/10.13039/100000936 http://dx.doi.org/10.13039/501100001665 http://dx.doi.org/10.13039/501100003151 http://dx.doi.org/10.1016/j.tim.2012.11.003 Sí none Elsevier |
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Complex networks Theory Functional diversity Biodiversity Ecosystem Microbial ecology Complex networks Theory Functional diversity Biodiversity Ecosystem Microbial ecology |
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Complex networks Theory Functional diversity Biodiversity Ecosystem Microbial ecology Complex networks Theory Functional diversity Biodiversity Ecosystem Microbial ecology Weitz, Joshua S. Poisot, Timothée Meyer, Justin R. Flores, Cesar O. Valverde, Sergi Sullivan, Matthew B. Hochberg, Michael E. Phage-bacteria infection networks |
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Phage and their bacterial hosts are the most abundant and genetically diverse group of organisms on the planet. Given their dominance, it is no wonder that many recent studies have found that phage-bacteria interactions strongly influence global biogeochemical cycles, incidence of human diseases, productivity of industrial microbial commodities, and patterns of microbial genome diversity. Unfortunately, given the extreme diversity and complexity of microbial communities, traditional analyses fail to characterize interaction patterns and underlying processes. Here, we review emerging systems approaches that combine empirical data with rigorous theoretical analysis to study phage-bacterial interactions as networks rather than as coupled interactions in isolation. © 2012 Elsevier Ltd. |
author2 |
James S. McDonnell Foundation |
author_facet |
James S. McDonnell Foundation Weitz, Joshua S. Poisot, Timothée Meyer, Justin R. Flores, Cesar O. Valverde, Sergi Sullivan, Matthew B. Hochberg, Michael E. |
format |
artículo |
topic_facet |
Complex networks Theory Functional diversity Biodiversity Ecosystem Microbial ecology |
author |
Weitz, Joshua S. Poisot, Timothée Meyer, Justin R. Flores, Cesar O. Valverde, Sergi Sullivan, Matthew B. Hochberg, Michael E. |
author_sort |
Weitz, Joshua S. |
title |
Phage-bacteria infection networks |
title_short |
Phage-bacteria infection networks |
title_full |
Phage-bacteria infection networks |
title_fullStr |
Phage-bacteria infection networks |
title_full_unstemmed |
Phage-bacteria infection networks |
title_sort |
phage-bacteria infection networks |
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Elsevier |
publishDate |
2013-02 |
url |
http://hdl.handle.net/10261/115423 http://dx.doi.org/10.13039/100000913 http://dx.doi.org/10.13039/100000861 http://dx.doi.org/10.13039/100000936 http://dx.doi.org/10.13039/501100001665 http://dx.doi.org/10.13039/501100003151 |
work_keys_str_mv |
AT weitzjoshuas phagebacteriainfectionnetworks AT poisottimothee phagebacteriainfectionnetworks AT meyerjustinr phagebacteriainfectionnetworks AT florescesaro phagebacteriainfectionnetworks AT valverdesergi phagebacteriainfectionnetworks AT sullivanmatthewb phagebacteriainfectionnetworks AT hochbergmichaele phagebacteriainfectionnetworks |
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