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Author Coles, V.J.; Stukel, M.R.; Brooks, M.T.; Burd, A.; Crump, B.C.; Moran, M.A.; Paul, J.H.; Satinsky, B.M.; Yager, P.L.; Zielinski, B.L.; Hood, R.R.
Title Ocean biogeochemistry modeled with emergent trait-based genomics Type $loc['typeJournal Article']
Year 2017 Publication Science (New York, N.Y.) Abbreviated Journal Science
Volume 358 Issue 6367 Pages 1149-1154
Keywords Atlantic Ocean; Biochemical Phenomena/genetics; Metabolic Networks and Pathways/*genetics; Metagenome; *Metagenomics; Microbial Consortia/*genetics; Models, Biological; Seawater/*microbiology; Transcriptome
Abstract Marine ecosystem models have advanced to incorporate metabolic pathways discovered with genomic sequencing, but direct comparisons between models and “omics” data are lacking. We developed a model that directly simulates metagenomes and metatranscriptomes for comparison with observations. Model microbes were randomly assigned genes for specialized functions, and communities of 68 species were simulated in the Atlantic Ocean. Unfit organisms were replaced, and the model self-organized to develop community genomes and transcriptomes. Emergent communities from simulations that were initialized with different cohorts of randomly generated microbes all produced realistic vertical and horizontal ocean nutrient, genome, and transcriptome gradients. Thus, the library of gene functions available to the community, rather than the distribution of functions among specific organisms, drove community assembly and biogeochemical gradients in the model ocean.
Address Horn Point Laboratory, University of Maryland Center for Environmental Science (UMCES), Post Office Box 775, Cambridge, MD 21613, USA
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0036-8075 ISBN Medium
Area Expedition Conference
Funding strtoupper('2').strtolower('9191900') Approved $loc['no']
Call Number COAPS @ rl18 @ Serial 989
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