Microbial Ecology to Ocean Carbon Cycling: From Genomes to Numerical Models

Author:

Levine Naomi M.123,Alexander Harriet4,Bertrand Erin M.5,Coles Victoria J.6,Dutkiewicz Stephanie7,Leles Suzana G.1,Zakem Emily J.8

Affiliation:

1. 1Department of Biological Sciences, University of Southern California, Los Angeles, California, USA; email: n.levine@usc.edu

2. 2Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA

3. 3Department of Earth Sciences, University of Southern California, Los Angeles, California, USA

4. 4Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA

5. 5Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada

6. 6Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, USA

7. 7Center for Sustainability Science and Strategy and Department of Earth, Atmospheric, and Planetary Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA

8. 8Department of Global Ecology, Carnegie Institution for Science, Stanford, California, USA

Abstract

The oceans contain large reservoirs of inorganic and organic carbon and play a critical role in both global carbon cycling and climate. Most of the biogeochemical transformations in the oceans are driven by marine microbes. Thus, molecular processes occurring at the scale of single cells govern global geochemical dynamics, posing a challenge of scales. Understanding the processes controlling ocean carbon cycling from the cellular to the global scale requires the integration of multiple disciplines including microbiology, ecology, biogeochemistry, and computational fields such as numerical models and bioinformatics. A shared language and foundational knowledge will facilitate these interactions. This review provides the state of knowledge on the role marine microbes play in large-scale ocean carbon cycling through the lens of observational oceanography and biogeochemical models. We conclude by outlining ways in which the field can bridge the gap between -omics datasets and ocean models to understand ocean carbon cycling across scales. -Omic approaches are providing increasingly quantitative insight into the biogeochemical functions of marine microbial ecosystems. Numerical models provide a tool for studying global carbon cycling by scaling from the microscale to the global scale. The integration of -omics and numerical modeling generates new understanding of how microbial metabolisms and community dynamics set nutrient fluxes in the ocean.

Publisher

Annual Reviews

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