Satellite remote sensing data can be used to model marine microbial metabolite turnover.

Larsen, Peter E; Scott, Nicole; Post, Anton F; Field, Dawn; Knight, Rob; Hamada, Yuki; Gilbert, Jack A

Larsen, Peter E; Scott, Nicole; Post, Anton F; Field, Dawn; Knight, Rob; Hamada, Yuki; Gilbert, Jack A.

Affiliation

Larsen PE; Argonne National Laboratory, Biosciences Division, Argonne, IL, USA.
Scott N; Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Post AF; The Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, USA.
Field D; NERC Centre for Ecology and Hydrology, Wallingford, UK.
Knight R; Department of Chemistry and Biochemistry, BioFrontiers Institute, University of Colorado at Boulder, Boulder, CO, USA.
Hamada Y; Argonne National Laboratory, Environmental Science Division, Argonne, IL, USA.
Gilbert JA; 1] Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA [2] Argonne National Laboratory, Institute for Genomic and Systems Biology, Argonne, IL, USA.

ISME J ; 9(1): 166-79, 2015 Jan.

Article in En | MEDLINE | ID: mdl-25072414

Subject(s)

Bacteria/genetics; Environmental Monitoring/methods; Oceans and Seas; Satellite Imagery; Seawater/microbiology; Water Microbiology; Bacteria/metabolism; England; Geographic Information Systems; Humans; Models, Biological; RNA, Ribosomal, 16S/genetics

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Full text: 1 Collection: 01-internacional Health context: 12_ODS3_hazardous_contamination / 1_ASSA2030 / 2_ODS3 Database: MEDLINE Main subject: Seawater / Bacteria / Water Microbiology / Oceans and Seas / Environmental Monitoring / Satellite Imagery Type of study: Evaluation_studies / Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: ISME J Year: 2015 Document type: Article

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