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      Expanded diversity of microbial groups that shape the dissimilatory sulfur cycle

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          Abstract

          A critical step in the biogeochemical cycle of sulfur on Earth is microbial sulfate reduction, yet organisms from relatively few lineages have been implicated in this process. Previous studies using functional marker genes have detected abundant, novel dissimilatory sulfite reductases (DsrAB) that could confer the capacity for microbial sulfite/sulfate reduction but were not affiliated with known organisms. Thus, the identity of a significant fraction of sulfate/sulfite-reducing microbes has remained elusive. Here we report the discovery of the capacity for sulfate/sulfite reduction in the genomes of organisms from 13 bacterial and archaeal phyla, thereby more than doubling the number of microbial phyla associated with this process. Eight of the 13 newly identified groups are candidate phyla that lack isolated representatives, a finding only possible given genomes from metagenomes. Organisms from Verrucomicrobia and two candidate phyla, Candidatus Rokubacteria and Candidatus Hydrothermarchaeota, contain some of the earliest evolved dsrAB genes. The capacity for sulfite reduction has been laterally transferred in multiple events within some phyla, and a key gene potentially capable of modulating sulfur metabolism in associated cells has been acquired by putatively symbiotic bacteria. We conclude that current functional predictions based on phylogeny significantly underestimate the extent of sulfate/sulfite reduction across Earth’s ecosystems. Understanding the prevalence of this capacity is integral to interpreting the carbon cycle because sulfate reduction is often coupled to turnover of buried organic carbon. Our findings expand the diversity of microbial groups associated with sulfur transformations in the environment and motivate revision of biogeochemical process models based on microbial community composition.

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          The TIGRFAMs database of protein families.

          TIGRFAMs is a collection of manually curated protein families consisting of hidden Markov models (HMMs), multiple sequence alignments, commentary, Gene Ontology (GO) assignments, literature references and pointers to related TIGRFAMs, Pfam and InterPro models. These models are designed to support both automated and manually curated annotation of genomes. TIGRFAMs contains models of full-length proteins and shorter regions at the levels of superfamilies, subfamilies and equivalogs, where equivalogs are sets of homologous proteins conserved with respect to function since their last common ancestor. The scope of each model is set by raising or lowering cutoff scores and choosing members of the seed alignment to group proteins sharing specific function (equivalog) or more general properties. The overall goal is to provide information with maximum utility for the annotation process. TIGRFAMs is thus complementary to Pfam, whose models typically achieve broad coverage across distant homologs but end at the boundaries of conserved structural domains. The database currently contains over 1600 protein families. TIGRFAMs is available for searching or downloading at www.tigr.org/TIGRFAMs.
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            Proterozoic ocean chemistry and evolution: a bioinorganic bridge?

            Recent data imply that for much of the Proterozoic Eon (2500 to 543 million years ago), Earth's oceans were moderately oxic at the surface and sulfidic at depth. Under these conditions, biologically important trace metals would have been scarce in most marine environments, potentially restricting the nitrogen cycle, affecting primary productivity, and limiting the ecological distribution of eukaryotic algae. Oceanic redox conditions and their bioinorganic consequences may thus help to explain observed patterns of Proterozoic evolution.
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              The genome sequence of the anaerobic, sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough.

              Desulfovibrio vulgaris Hildenborough is a model organism for studying the energy metabolism of sulfate-reducing bacteria (SRB) and for understanding the economic impacts of SRB, including biocorrosion of metal infrastructure and bioremediation of toxic metal ions. The 3,570,858 base pair (bp) genome sequence reveals a network of novel c-type cytochromes, connecting multiple periplasmic hydrogenases and formate dehydrogenases, as a key feature of its energy metabolism. The relative arrangement of genes encoding enzymes for energy transduction, together with inferred cellular location of the enzymes, provides a basis for proposing an expansion to the 'hydrogen-cycling' model for increasing energy efficiency in this bacterium. Plasmid-encoded functions include modification of cell surface components, nitrogen fixation and a type-III protein secretion system. This genome sequence represents a substantial step toward the elucidation of pathways for reduction (and bioremediation) of pollutants such as uranium and chromium and offers a new starting point for defining this organism's complex anaerobic respiration.
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                Author and article information

                Contributors
                karthik@bact.wisc.edu
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                21 February 2018
                21 February 2018
                July 2018
                : 12
                : 7
                : 1715-1728
                Affiliations
                [1 ]ISNI 0000 0001 2181 7878, GRID grid.47840.3f, Department of Earth and Planetary Science, ; Berkeley, CA USA
                [2 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Present Address: Department of Bacteriology, , University of Wisconsin-Madison, ; Madison, WI USA
                [3 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Research Network Chemistry meets Microbiology, , University of Vienna, ; Vienna, Austria
                [4 ]ISNI 0000 0001 2156 6853, GRID grid.42505.36, Center for Dark Energy Biosphere Investigations, University of Southern California, ; Los Angeles, CA USA
                [5 ]ISNI 0000 0001 2181 7878, GRID grid.47840.3f, Department of Plant and Microbial Biology, , University of California, ; Berkeley, CA USA
                [6 ]ISNI 0000 0001 2157 2938, GRID grid.17063.33, Department of Civil Engineering, , University of Toronto, ; Toronto, ON, Canada
                [7 ]ISNI 0000 0001 2188 0957, GRID grid.410445.0, Hawaii Institute of Marine Biology, , University of Hawaii at Manoa, ; Kaneohe, HI USA
                [8 ]ISNI 0000 0000 9247 8466, GRID grid.420081.f, Department Microorganisms, , Leibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures, ; Braunschweig, Germany
                [9 ]Department of Environmental Science, Policy, and Management, Berkeley, CA USA
                [10 ]ISNI 0000 0001 2231 4551, GRID grid.184769.5, Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, ; Berkeley, CA USA
                [11 ]ISNI 0000 0004 0449 479X, GRID grid.451309.a, Present Address: Department of Energy, Joint Genome Institute, ; Walnut Creek, CA USA
                Author information
                http://orcid.org/0000-0002-0846-1202
                http://orcid.org/0000-0001-8923-5882
                http://orcid.org/0000-0001-8203-8771
                Article
                78
                10.1038/s41396-018-0078-0
                6018805
                29467397
                2162c61e-52e2-4572-8c0b-ab04a33aae80
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. If you remix, transform, or build upon this article or a part thereof, you must distribute your contributions under the same license as the original. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.

                History
                : 11 October 2017
                : 10 January 2018
                : 13 January 2018
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                © International Society for Microbial Ecology 2018

                Microbiology & Virology
                Microbiology & Virology

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