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Multiple sulphur isotopic interpretations of biosynthetic pathways: implications for biological signatures in the sulphur isotope record
Authors:James Farquhar  David T Johnston  Boswell A Wing  Kirsten S Habicht  Donald E Canfield  Sabine Airieau  Mark H Thiemens
Institution:;Department of Geology and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA ;Danish Center of Earth System Science and Institute of Biology, University of Southern Denmark, Campusvej 55, DK-5230, Odense M, Denmark ;Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
Abstract:Isotopic fractionations produced by biosynthetic processes are the result of networks of individual biochemical reactions that operate at differing efficiencies and with distinct fractionation factors. These reaction networks determine the magnitude and direction of the net isotopic fractionation associated with a given process. Here we examine the ways that biological reaction networks control mass‐dependent isotopic fractionations of multiple sulphur isotopes. We describe how material‐flow through some networks can produce characteristic multiple‐sulphur‐isotope signatures that differ from those produced by their constituent steps and demonstrate that experimental results with Archaeaglobus fulgidus can be evaluated using multiple sulphur isotopes in the context of previously published models for dissimilatory sulphate reduction. Our evaluation of these data is consistent with the interpretation that the dependence of sulphur isotope fractionation on external sulphate concentration is rooted in differences between the forward and reverse inline image ? adenosine‐5′‐phosphosulphate (APS) ? inline image steps. The framework provided by our analysis has the potential to evaluate the biosynthetic pathways that produce the isotopic fractionations, to isolate the primary sources of isotopic fractionations (sulphate reduction or disproportionation reactions) and to establish criteria to identify the signature of specific sulphur metabolisms in the geological record. The results highlight the new types of information that can be obtained by including measurements of δ33S {δ33S = (33S/32S)sample/(33S/32S)reference ? 1]*1000} with measurements of δ34S.
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