Diverse Marinimicrobia bacteria may mediate coupled biogeochemical cycles along eco-thermodynamic gradients

Autor: W. Evan Durno, Jody J. Wright, Brandon K. Swan, Tanja Woyke, Mónica Torres-Beltrán, Wen Tso Liu, Connor Morgan-Lang, Masaru K. Nobu, Keith Mewis, Alyse K. Hawley, Steven J. Hallam, Ramunas Stepanauskas, Brent Sage, Christian Rinke, Patrick Schwientek
Rok vydání: 2017
Předmět:
Zdroj: Nature communications, vol 8, iss 1
Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Hawley, AK; Nobu, MK; Wright, JJ; Durno, WE; Morgan-Lang, C; Sage, B; et al.(2017). Diverse Marinimicrobia bacteria may mediate coupled biogeochemical cycles along eco-thermodynamic gradients. Nature Communications, 8(1). doi: 10.1038/s41467-017-01376-9. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3d5887vb
Nature Communications
ISSN: 2041-1723
DOI: 10.1038/s41467-017-01376-9
Popis: 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.
Little is known about Marinimicrobia, a group of bacteria that are prevalent in the oceans. Here, the authors study global populations of Marinimicrobia using single-cell genomics, metagenomics and metatranscriptomics, showing potential co-metabolic interactions and participation in the sulfur and nitrogen cycles.
Databáze: OpenAIRE