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dc.contributor.authorO'Connor, Timothy K.
dc.contributor.authorCharkoudian, Louise K.
dc.contributor.authorDocherty, Kathryn M.
dc.contributor.authorJones, Evan
dc.contributor.authorKembel, Steven W.
dc.contributor.authorGreen, Jessica L.
dc.contributor.authorBohannan, Brendan J. M.
dc.contributor.authorBryant, Jessica A.
dc.contributor.authorMorlon, Helene
dc.date.accessioned2015-08-20T18:14:16Z
dc.date.available2015-08-20T18:14:16Z
dc.date.issued2015-06
dc.date.submitted2014-10
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/98134
dc.description.abstractUnderstanding patterns in the distribution and abundance of functional traits across a landscape is of fundamental importance to ecology. Mapping these distributions is particularly challenging for species-rich groups with sparse trait measurement coverage, such as flowering plants, insects, and microorganisms. Here, we use likelihood-based character reconstruction to infer and analyze the spatial distribution of unmeasured traits. We apply this framework to a microbial dataset comprised of 11,732 ketosynthase alpha gene sequences extracted from 144 soil samples from three continents to document the spatial distribution of putative microbial polyketide antibiotic production. Antibiotic production is a key competitive strategy for soil microbial survival and performance. Additionally, novel antibiotic discovery is highly relevant to human health, making natural antibiotic production by soil microorganisms a major target for bioprospecting. Our comparison of trait-based biogeographical patterns to patterns based on taxonomy and phylogeny is relevant to our basic understanding of microbial biogeography as well as the pressing need for new antibiotics.en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0130659en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePublic Library of Scienceen_US
dc.titleThe Biogeography of Putative Microbial Antibiotic Productionen_US
dc.typeArticleen_US
dc.identifier.citationMorlon, Hélène, Timothy K. O’Connor, Jessica A. Bryant, Louise K. Charkoudian, Kathryn M. Docherty, Evan Jones, Steven W. Kembel, Jessica L. Green, and Brendan J. M. Bohannan. “The Biogeography of Putative Microbial Antibiotic Production.” Edited by Hauke Smidt. PLoS ONE 10, no. 6 (June 23, 2015): e0130659.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorBryant, Jessica A.en_US
dc.relation.journalPLOS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMorlon, Hélène; O'Connor, Timothy K.; Bryant, Jessica A.; Charkoudian, Louise K.; Docherty, Kathryn M.; Jones, Evan; Kembel, Steven W.; Green, Jessica L.; Bohannan, Brendan J. M.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8958-4345
dspace.mitauthor.errortrue
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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