Zobrazeno 1 - 3
of 3
pro vyhledávání: '"W. Evan Durno"'
Autor:
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-Tso Liu, Ramunas Stepanauskas, Tanja Woyke, Steven J. Hallam
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
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
Externí odkaz:
https://doaj.org/article/a3d703ca39624d1299e73be50c4f536c
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
Publikováno v:
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
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
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
Publikováno v:
BMC Genomics, Vol 14, Iss Suppl 1, p S3 (2013)
BMC Genomics
BMC Genomics
Background Pairwise comparison of time series data for both local and time-lagged relationships is a computationally challenging problem relevant to many fields of inquiry. The Local Similarity Analysis (LSA) statistic identifies the existence of loc