Author
Listed:
- Alyse K. Hawley
(Department of Microbiology and Immunology, University of British Columbia)
- Masaru K. Nobu
(Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue
Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 6, Higashi, Tsukuba)
- Jody J. Wright
(Department of Microbiology and Immunology, University of British Columbia)
- W. Evan Durno
(Graduate Program in Bioinformatics, University of British Columbia)
- Connor Morgan-Lang
(Graduate Program in Bioinformatics, University of British Columbia)
- Brent Sage
(Graduate Program in Bioinformatics, University of British Columbia)
- Patrick Schwientek
(Department of Energy Joint Genome Institute)
- Brandon K. Swan
(Bigelow Laboratory for Ocean Sciences
National Biodefense Analysis and Countermeasures Center)
- Christian Rinke
(Australian Centre for Ecogenomics, University of Queensland)
- Monica Torres-Beltrán
(Department of Microbiology and Immunology, University of British Columbia)
- Keith Mewis
(Genome Science and Technology Graduate Program, University of British Columbia)
- Wen-Tso Liu
(Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue)
- Ramunas Stepanauskas
(Bigelow Laboratory for Ocean Sciences)
- Tanja Woyke
(Department of Energy Joint Genome Institute)
- Steven J. Hallam
(Department of Microbiology and Immunology, University of British Columbia
Graduate Program in Bioinformatics, University of British Columbia
ECOSCOPE Training Program, University of British Columbia
Peter Wall Institute for Advanced Studies, University of British Columbia)
Abstract
Microbial communities drive biogeochemical cycles through networks of metabolite exchange that are structured along energetic gradients. As energy yields become limiting, these networks favor co-metabolic interactions to maximize energy disequilibria. Here we apply single-cell genomics, metagenomics, and metatranscriptomics to study bacterial populations of the abundant “microbial dark matter” phylum Marinimicrobia along defined energy gradients. We show that evolutionary diversification of major Marinimicrobia clades appears to be closely related to energy yields, with increased co-metabolic interactions in more deeply branching clades. Several of these clades appear to participate in the biogeochemical cycling of sulfur and nitrogen, filling previously unassigned niches in the ocean. Notably, two Marinimicrobia clades, occupying different energetic niches, express nitrous oxide reductase, potentially acting as a global sink for the greenhouse gas nitrous oxide.
Suggested Citation
Alyse K. Hawley & Masaru K. Nobu & Jody J. Wright & W. Evan Durno & Connor Morgan-Lang & Brent Sage & Patrick Schwientek & Brandon K. Swan & Christian Rinke & Monica Torres-Beltrán & Keith Mewis & Wen, 2017.
"Diverse Marinimicrobia bacteria may mediate coupled biogeochemical cycles along eco-thermodynamic gradients,"
Nature Communications, Nature, vol. 8(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01376-9
DOI: 10.1038/s41467-017-01376-9
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