Predictive isotope model connects microbes in culture and nature
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Bosak_Predictive isotope.pdf
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Author(s)
Ono, Shuhei
Sim, Min Sub
Bosak, Tanja
Date Issued
December 2014
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Ono, Shuhei, Min Sub Sim, and Tanja Bosak. “Predictive Isotope Model Connects Microbes in Culture and Nature.” Proceedings of the National Academy of Sciences 111.51 (2014): 18102–18103. © 2014 National Academy of Science
Version
Final published version
Abstract
In PNAS, Wing and Halevy present a new model that quantitatively describes the magnitude of sulfur isotope fractionation produced by dissimilatory microbial sulfate reduction (MSR). MSR is a major player in the global biogeochemical cycles and is responsible for the respiration of up to 30% of organic matter in marine sediments. This metabolism produces large isotope effects, in which the product, sulfide, is depleted in the heavy isotopes ([superscript 33]S, [superscript 34]S, and [superscript 36]S) relative to the most abundant isotope [superscript 32]S (3), enriching modern seawater sulfate in [superscript 34]S by about 21‰ (parts per thousand) compared with mantle sulfur. Sedimentary sulfur minerals preserve a record of this effect and are used to track changes in the sulfur isotope composition of seawater and the biogeochemical sulfur, carbon, and oxygen cycles through geologic time (4). Such reconstructions require an understanding of factors that control the magnitude of sulfur isotope effects and dictate the fractionation of sulfur isotopes by sulfate reducers under a range of growth conditions.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1073/pnas.1420670111
