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      Biogenic non-crystalline U (IV) revealed as major component in uranium ore deposits

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          Abstract

          Historically, it is believed that crystalline uraninite, produced via the abiotic reduction of hexavalent uranium (U (VI)) is the dominant reduced U species formed in low-temperature uranium roll-front ore deposits. Here we show that non-crystalline U (IV) generated through biologically mediated U (VI) reduction is the predominant U (IV) species in an undisturbed U roll-front ore deposit in Wyoming, USA. Characterization of U species revealed that the majority (∼58-89%) of U is bound as U (IV) to C-containing organic functional groups or inorganic carbonate, while uraninite and U (VI) represent only minor components. The uranium deposit exhibited mostly 238U-enriched isotope signatures, consistent with largely biotic reduction of U (VI) to U (IV). This finding implies that biogenic processes are more important to uranium ore genesis than previously understood. The predominance of a relatively labile form of U (IV) also provides an opportunity for a more economical and environmentally benign mining process, as well as the design of more effective post-mining restoration strategies and human health-risk assessment.

          Abstract

          Crystalline uraninite is believed to be the dominant form in uranium deposits. Here, the authors find that non-crystalline U (IV) generated through biologically mediated U (VI) reduction is the predominant U (IV) species in ore deposits, implying that biogenic processes are more important than previously thought.

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            QIIME allows analysis of high-throughput community sequencing data.

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              ATHENA, ARTEMIS, HEPHAESTUS: data analysis for X-ray absorption spectroscopy using IFEFFIT.

              A software package for the analysis of X-ray absorption spectroscopy (XAS) data is presented. This package is based on the IFEFFIT library of numerical and XAS algorithms and is written in the Perl programming language using the Perl/Tk graphics toolkit. The programs described here are: (i) ATHENA, a program for XAS data processing, (ii) ARTEMIS, a program for EXAFS data analysis using theoretical standards from FEFF and (iii) HEPHAESTUS, a collection of beamline utilities based on tables of atomic absorption data. These programs enable high-quality data analysis that is accessible to novices while still powerful enough to meet the demands of an expert practitioner. The programs run on all major computer platforms and are freely available under the terms of a free software license.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                01 June 2017
                2017
                : 8
                : 15538
                Affiliations
                [1 ]Department of Soil and Crop Sciences, Colorado State University , Fort Collins, Colorado 80523-1170, USA
                [2 ]US Geological Survey , Boulder, Colorado 80303, USA
                [3 ]EXAFS Analysis , Bolingbrook, Illinois 60440, USA
                [4 ]Institut für Mineralogie, Leibniz Universitat Hannover , Hannover D-30167, Germany
                [5 ]Environmental Microbiology Laboratory, École Polytechnique Fédérale de Lausanne , Lausanne CH-1015, Switzerland
                [6 ]Department of Chemistry, Colorado State University , Fort Collins, Colorado 80523-1872, USA
                Author notes
                [*]

                Present address: Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA

                Author information
                http://orcid.org/0000-0002-4251-1613
                Article
                ncomms15538
                10.1038/ncomms15538
                5461479
                28569759
                9ea3c6c5-1319-4f05-8f92-2ff1df055d5f
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 07 July 2016
                : 06 April 2017
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