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dc.contributor.authorBlaser, Martin J.  Concept link
dc.contributor.authorCardon, Zoe G.  Concept link
dc.contributor.authorCho, Mildred K.  Concept link
dc.contributor.authorDangl, Jeffery  Concept link
dc.contributor.authorDonohue, Timothy J.  Concept link
dc.contributor.authorGreen, Jessica L.  Concept link
dc.contributor.authorKnight, Rob  Concept link
dc.contributor.authorMaxon, Mary E.  Concept link
dc.contributor.authorNorthen, Trent R.  Concept link
dc.contributor.authorPollard, Katherine  Concept link
dc.contributor.authorBrodie, Eoin L.  Concept link
dc.identifier.citationmBio 7 (2016): e00714-16en_US
dc.description© The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in mBio 7 (2016): e00714-16, doi:10.1128/mBio.00714-16.en_US
dc.description.abstractMicroorganisms have shaped our planet and its inhabitants for over 3.5 billion years. Humankind has had a profound influence on the biosphere, manifested as global climate and land use changes, and extensive urbanization in response to a growing population. The challenges we face to supply food, energy, and clean water while maintaining and improving the health of our population and ecosystems are significant. Given the extensive influence of microorganisms across our biosphere, we propose that a coordinated, cross-disciplinary effort is required to understand, predict, and harness microbiome function. From the parallelization of gene function testing to precision manipulation of genes, communities, and model ecosystems and development of novel analytical and simulation approaches, we outline strategies to move microbiome research into an era of causality. These efforts will improve prediction of ecosystem response and enable the development of new, responsible, microbiome-based solutions to significant challenges of our time.en_US
dc.description.sponsorshipE.L.B. is supported by the Genomes-to-Watersheds Subsurface Biogeochemical Research Scientific Focus Area, and T.R.N. is supported by ENIGMA-Ecosystems and Networks Integrated with Genes and Molecular Assemblies ( Scientific Focus Area, funded by the U.S. Department of Energy (US DOE), Office of Science, Office of Biological and Environmental Research under contract no. DE-AC02- 05CH11231 to Lawrence Berkeley National Laboratory (LBNL). M.E.M. is also supported by the US DOE, Office of Science, Office of Biological and Environmental Research under contract no. DE-AC02-05CH11231. Z.G.C. is supported by National Science Foundation Integrative Organismal Systems grant #1355085, and by US DOE, Office of Biological and Environmental Research grant # DE-SC0008182 ER65389 from the Terrestrial Ecosystem Science Program. M.J.B. is supported by R01 DK 090989 from the NIH. T.J.D. is supported by the US DOE Office of Science’s Great Lakes Bioenergy Research Center, grant DE-FC02- 07ER64494. J.L.G. is supported by Alfred P. Sloan Foundation G 2-15-14023. R.K. is supported by grants from the NSF (DBI-1565057) and NIH (U01AI24316, U19AI113048, P01DK078669, 1U54DE023789, U01HG006537). K.S.P. is supported by grants from the NSF DMS- 1069303 and the Gordon & Betty Moore Foundation (#3300).en_US
dc.publisherAmerican Society for Microbiologyen_US
dc.rightsAttribution 4.0 International*
dc.titleToward a predictive understanding of Earth’s microbiomes to address 21st century challengesen_US

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Except where otherwise noted, this item's license is described as Attribution 4.0 International