Geobacteraceae Are Important Members of Mercury-Methylating Microbial Communities of Sediments Impacted by Waste Water Releases
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The 2014 Golden Gate National Parks Bioblitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event
National Park Service U.S. Department of the Interior Natural Resource Stewardship and Science The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 ON THIS PAGE Photograph of BioBlitz participants conducting data entry into iNaturalist. Photograph courtesy of the National Park Service. ON THE COVER Photograph of BioBlitz participants collecting aquatic species data in the Presidio of San Francisco. Photograph courtesy of National Park Service. The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 Elizabeth Edson1, Michelle O’Herron1, Alison Forrestel2, Daniel George3 1Golden Gate Parks Conservancy Building 201 Fort Mason San Francisco, CA 94129 2National Park Service. Golden Gate National Recreation Area Fort Cronkhite, Bldg. 1061 Sausalito, CA 94965 3National Park Service. San Francisco Bay Area Network Inventory & Monitoring Program Manager Fort Cronkhite, Bldg. 1063 Sausalito, CA 94965 March 2016 U.S. Department of the Interior National Park Service Natural Resource Stewardship and Science Fort Collins, Colorado The National Park Service, Natural Resource Stewardship and Science office in Fort Collins, Colorado, publishes a range of reports that address natural resource topics. These reports are of interest and applicability to a broad audience in the National Park Service and others in natural resource management, including scientists, conservation and environmental constituencies, and the public. The Natural Resource Report Series is used to disseminate comprehensive information and analysis about natural resources and related topics concerning lands managed by the National Park Service. -
Table 1. Overview of Reactions Examined in This Study. ΔG Values Were Obtained from Thauer Et Al., 1977
Supplemental Information: Table 1. Overview of reactions examined in this study. ΔG values were obtained from Thauer et al., 1977. No. Equation ∆G°' (kJ/reaction)* Acetogenic reactions – – – + 1 Propionate + 3 H2O → Acetate + HCO3 + 3 H2 + H +76.1 Sulfate-reducing reactions – 2– – – – + 2 Propionate + 0.75 SO4 → Acetate + 0.75 HS + HCO3 + 0.25 H –37.8 2– + – 3 4 H2 + SO4 + H → HS + 4 H2O –151.9 – 2– – – 4 Acetate + SO4 → 2 HCO3 + HS –47.6 Methanogenic reactions – – + 5 4 H2 + HCO3 + H → CH4 + 3 H2O –135.6 – – 6 Acetate + H2O → CH4 + HCO3 –31.0 Syntrophic propionate conversion – – – + 1+5 Propionate + 0.75 H2O → Acetate + 0.75 CH4 + 0.25 HCO3 + 0.25 H –25.6 Complete propionate conversion by SRB – 2– – – + 2+4 Propionate + 1.75 SO4 → 1.75 HS + 3 HCO3 + 0.25 H –85.4 Complete propionate conversion by syntrophs and methanogens 1+5+6 Propionate– + 1.75 H O → 1.75 CH + 1.25 HCO – + 0.25 H+ –56.6 2 4 3 1 Table S2. Overview of all enrichment slurries fed with propionate and the total amounts of the reactants consumed and products formed during the enrichment period. The enrichment slurries consisted of sediment from either the sulfate zone (SZ), sulfate-methane transition zone (SMTZ) or methane zone (MZ) and were incubated at 25°C or 10°C, with 3 mM, 20 mM or without (-) sulfate amendments along the study. The slurries P1/P2, P3/P4, P5/P6, P7/P8 from each sediment zone are biological replicates. Slurries with * are presented in the propionate conversion graphs and used for molecular analysis. -
Genome-Resolved Meta-Analysis of the Microbiome in Oil Reservoirs Worldwide
microorganisms Article Genome-Resolved Meta-Analysis of the Microbiome in Oil Reservoirs Worldwide Kelly J. Hidalgo 1,2,* , Isabel N. Sierra-Garcia 3 , German Zafra 4 and Valéria M. de Oliveira 1 1 Microbial Resources Division, Research Center for Chemistry, Biology and Agriculture (CPQBA), University of Campinas–UNICAMP, Av. Alexandre Cazellato 999, 13148-218 Paulínia, Brazil; [email protected] 2 Graduate Program in Genetics and Molecular Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato 255, Cidade Universitária, 13083-862 Campinas, Brazil 3 Biology Department & CESAM, University of Aveiro, Aveiro, Portugal, Campus de Santiago, Avenida João Jacinto de Magalhães, 3810-193 Aveiro, Portugal; [email protected] 4 Grupo de Investigación en Bioquímica y Microbiología (GIBIM), Escuela de Microbiología, Universidad Industrial de Santander, Cra 27 calle 9, 680002 Bucaramanga, Colombia; [email protected] * Correspondence: [email protected]; Tel.: +55-19981721510 Abstract: Microorganisms inhabiting subsurface petroleum reservoirs are key players in biochemical transformations. The interactions of microbial communities in these environments are highly complex and still poorly understood. This work aimed to assess publicly available metagenomes from oil reservoirs and implement a robust pipeline of genome-resolved metagenomics to decipher metabolic and taxonomic profiles of petroleum reservoirs worldwide. Analysis of 301.2 Gb of metagenomic information derived from heavily flooded petroleum reservoirs in China and Alaska to non-flooded petroleum reservoirs in Brazil enabled us to reconstruct 148 metagenome-assembled genomes (MAGs) of high and medium quality. At the phylum level, 74% of MAGs belonged to bacteria and 26% to archaea. The profiles of these MAGs were related to the physicochemical parameters and recovery management applied. -
Core Sulphate-Reducing Microorganisms in Metal-Removing Semi-Passive Biochemical Reactors and the Co-Occurrence of Methanogens
microorganisms Article Core Sulphate-Reducing Microorganisms in Metal-Removing Semi-Passive Biochemical Reactors and the Co-Occurrence of Methanogens Maryam Rezadehbashi and Susan A. Baldwin * Chemical and Biological Engineering, University of British Columbia, 2360 East Mall, Vancouver, BC V6T 1Z3, Canada; [email protected] * Correspondence: [email protected]; Tel.: +1-604-822-1973 Received: 2 January 2018; Accepted: 17 February 2018; Published: 23 February 2018 Abstract: Biochemical reactors (BCRs) based on the stimulation of sulphate-reducing microorganisms (SRM) are emerging semi-passive remediation technologies for treatment of mine-influenced water. Their successful removal of metals and sulphate has been proven at the pilot-scale, but little is known about the types of SRM that grow in these systems and whether they are diverse or restricted to particular phylogenetic or taxonomic groups. A phylogenetic study of four established pilot-scale BCRs on three different mine sites compared the diversity of SRM growing in them. The mine sites were geographically distant from each other, nevertheless the BCRs selected for similar SRM types. Clostridia SRM related to Desulfosporosinus spp. known to be tolerant to high concentrations of copper were members of the core microbial community. Members of the SRM family Desulfobacteraceae were dominant, particularly those related to Desulfatirhabdium butyrativorans. Methanogens were dominant archaea and possibly were present at higher relative abundances than SRM in some BCRs. Both hydrogenotrophic and acetoclastic types were present. There were no strong negative or positive co-occurrence correlations of methanogen and SRM taxa. Knowing which SRM inhabit successfully operating BCRs allows practitioners to target these phylogenetic groups when selecting inoculum for future operations. -
Protein Components of the Microbial Mercury Methylation Pathway
Protein Components of the Microbial Mercury Methylation Pathway ______________________________________________________________ A Dissertation presented to the faculty of the Graduate School at the University of Missouri - Columbia ____________________________________________________ In partial fulfillment of the requirements for the degree Doctor of Philosophy __________________________________________ by Steven D. Smith Dr. Judy D. Wall, Dissertation Supervisor December 2015 The undersigned, appointed by the dean of the Graduate School, have examined the dissertation titled Protein Components of the Microbial Mercury Methylation Pathway Presented by Steven D. Smith, a candidate for the degree of doctor of philosophy, and hereby certify that, in their opinion, it is worthy of acceptance. ____________________________________________ Dr. Judy D. Wall ____________________________________________ Dr. David W. Emerich ____________________________________________ Dr. Thomas P. Quinn ____________________________________________ Dr. Michael J. Calcutt Acknowledgements I would first like to thank my parents and family for their constant support and patience. They have never failed to be there for me. I would like to thank all members of the Wall Lab. At one time or another each one of them has helped me in some way. In particular I would like to thank Barb Giles for her insight into the dynamics of the lab and for her support of me through these years. I am greatly appreciative to Dr. Judy Wall for the opportunity to earn my PhD in her lab. Her constant support and unending confidence in me has been a great source of motivation. It has been an incredible learning experience that I will carry with me and draw from for the rest of my life. Table of Contents Acknowledgements ………………………………………………………………………………………………………… ii List of Figures …………………………………………………………………………………………………………………. -
Microbial Fe(III) Oxide Reduction Potential in Chocolate Pots Hot Spring, Yellowstone National Park N
Geobiology (2016), 14, 255–275 DOI: 10.1111/gbi.12173 Microbial Fe(III) oxide reduction potential in Chocolate Pots hot spring, Yellowstone National Park N. W. FORTNEY,1 S. HE,1 B. J. CONVERSE,1 B. L. BEARD,1 C. M. JOHNSON,1 E. S. BOYD2 ANDE.E.RODEN1 1Department of Geoscience, NASA Astrobiology Institute, University of Wisconsin-Madison, Madison, WI, USA 2Department of Microbiology and Immunology, NASA Astrobiology Institute, Montana State University, Bozeman, MT, USA ABSTRACT Chocolate Pots hot springs (CP) is a unique, circumneutral pH, iron-rich, geothermal feature in Yellowstone National Park. Prior research at CP has focused on photosynthetically driven Fe(II) oxidation as a model for mineralization of microbial mats and deposition of Archean banded iron formations. However, geochemical and stable Fe isotopic data have suggested that dissimilatory microbial iron reduction (DIR) may be active within CP deposits. In this study, the potential for microbial reduction of native CP Fe(III) oxides was inves- tigated, using a combination of cultivation dependent and independent approaches, to assess the potential involvement of DIR in Fe redox cycling and associated stable Fe isotope fractionation in the CP hot springs. Endogenous microbial communities were able to reduce native CP Fe(III) oxides, as documented by most probable number enumerations and enrichment culture studies. Enrichment cultures demonstrated sus- tained DIR driven by oxidation of acetate, lactate, and H2. Inhibitor studies and molecular analyses indicate that sulfate reduction did not contribute to observed rates of DIR in the enrichment cultures through abi- otic reaction pathways. Enrichment cultures produced isotopically light Fe(II) during DIR relative to the bulk solid-phase Fe(III) oxides. -
Supplementary Information for Microbial Electrochemical Systems Outperform Fixed-Bed Biofilters for Cleaning-Up Urban Wastewater
Electronic Supplementary Material (ESI) for Environmental Science: Water Research & Technology. This journal is © The Royal Society of Chemistry 2016 Supplementary information for Microbial Electrochemical Systems outperform fixed-bed biofilters for cleaning-up urban wastewater AUTHORS: Arantxa Aguirre-Sierraa, Tristano Bacchetti De Gregorisb, Antonio Berná, Juan José Salasc, Carlos Aragónc, Abraham Esteve-Núñezab* Fig.1S Total nitrogen (A), ammonia (B) and nitrate (C) influent and effluent average values of the coke and the gravel biofilters. Error bars represent 95% confidence interval. Fig. 2S Influent and effluent COD (A) and BOD5 (B) average values of the hybrid biofilter and the hybrid polarized biofilter. Error bars represent 95% confidence interval. Fig. 3S Redox potential measured in the coke and the gravel biofilters Fig. 4S Rarefaction curves calculated for each sample based on the OTU computations. Fig. 5S Correspondence analysis biplot of classes’ distribution from pyrosequencing analysis. Fig. 6S. Relative abundance of classes of the category ‘other’ at class level. Table 1S Influent pre-treated wastewater and effluents characteristics. Averages ± SD HRT (d) 4.0 3.4 1.7 0.8 0.5 Influent COD (mg L-1) 246 ± 114 330 ± 107 457 ± 92 318 ± 143 393 ± 101 -1 BOD5 (mg L ) 136 ± 86 235 ± 36 268 ± 81 176 ± 127 213 ± 112 TN (mg L-1) 45.0 ± 17.4 60.6 ± 7.5 57.7 ± 3.9 43.7 ± 16.5 54.8 ± 10.1 -1 NH4-N (mg L ) 32.7 ± 18.7 51.6 ± 6.5 49.0 ± 2.3 36.6 ± 15.9 47.0 ± 8.8 -1 NO3-N (mg L ) 2.3 ± 3.6 1.0 ± 1.6 0.8 ± 0.6 1.5 ± 2.0 0.9 ± 0.6 TP (mg -
Crystalline Iron Oxides Stimulate Methanogenic Benzoate Degradation in Marine Sediment-Derived Enrichment Cultures
The ISME Journal https://doi.org/10.1038/s41396-020-00824-7 ARTICLE Crystalline iron oxides stimulate methanogenic benzoate degradation in marine sediment-derived enrichment cultures 1,2 1 3 1,2 1 David A. Aromokeye ● Oluwatobi E. Oni ● Jan Tebben ● Xiuran Yin ● Tim Richter-Heitmann ● 2,4 1 5 5 1 2,3 Jenny Wendt ● Rolf Nimzyk ● Sten Littmann ● Daniela Tienken ● Ajinkya C. Kulkarni ● Susann Henkel ● 2,4 2,4 1,3 2,3,4 1,2 Kai-Uwe Hinrichs ● Marcus Elvert ● Tilmann Harder ● Sabine Kasten ● Michael W. Friedrich Received: 19 May 2020 / Revised: 9 October 2020 / Accepted: 22 October 2020 © The Author(s) 2020. This article is published with open access Abstract Elevated dissolved iron concentrations in the methanic zone are typical geochemical signatures of rapidly accumulating marine sediments. These sediments are often characterized by co-burial of iron oxides with recalcitrant aromatic organic matter of terrigenous origin. Thus far, iron oxides are predicted to either impede organic matter degradation, aiding its preservation, or identified to enhance organic carbon oxidation via direct electron transfer. Here, we investigated the effect of various iron oxide phases with differing crystallinity (magnetite, hematite, and lepidocrocite) during microbial 1234567890();,: 1234567890();,: degradation of the aromatic model compound benzoate in methanic sediments. In slurry incubations with magnetite or hematite, concurrent iron reduction, and methanogenesis were stimulated during accelerated benzoate degradation with methanogenesis as the dominant electron sink. In contrast, with lepidocrocite, benzoate degradation, and methanogenesis were inhibited. These observations were reproducible in sediment-free enrichments, even after five successive transfers. Genes involved in the complete degradation of benzoate were identified in multiple metagenome assembled genomes. -
Table S5. the Information of the Bacteria Annotated in the Soil Community at Species Level
Table S5. The information of the bacteria annotated in the soil community at species level No. Phylum Class Order Family Genus Species The number of contigs Abundance(%) 1 Firmicutes Bacilli Bacillales Bacillaceae Bacillus Bacillus cereus 1749 5.145782459 2 Bacteroidetes Cytophagia Cytophagales Hymenobacteraceae Hymenobacter Hymenobacter sedentarius 1538 4.52499338 3 Gemmatimonadetes Gemmatimonadetes Gemmatimonadales Gemmatimonadaceae Gemmatirosa Gemmatirosa kalamazoonesis 1020 3.000970902 4 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas indica 797 2.344876284 5 Firmicutes Bacilli Lactobacillales Streptococcaceae Lactococcus Lactococcus piscium 542 1.594633558 6 Actinobacteria Thermoleophilia Solirubrobacterales Conexibacteraceae Conexibacter Conexibacter woesei 471 1.385742446 7 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas taxi 430 1.265115184 8 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas wittichii 388 1.141545794 9 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas sp. FARSPH 298 0.876754244 10 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sorangium cellulosum 260 0.764953367 11 Proteobacteria Deltaproteobacteria Myxococcales Polyangiaceae Sorangium Sphingomonas sp. Cra20 260 0.764953367 12 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas panacis 252 0.741416341 -
Tree Scale: 1 D Bacteria P Desulfobacterota C Jdfr-97 O Jdfr-97 F Jdfr-97 G Jdfr-97 S Jdfr-97 Sp002010915 WGS ID MTPG01
d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfobacteriaceae g Thermodesulfobacterium s Thermodesulfobacterium commune WGS ID JQLF01 d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfobacteriaceae g Thermosulfurimonas s Thermosulfurimonas dismutans WGS ID LWLG01 d Bacteria p Desulfobacterota c Desulfofervidia o Desulfofervidales f DG-60 g DG-60 s DG-60 sp001304365 WGS ID LJNA01 ID WGS sp001304365 DG-60 s DG-60 g DG-60 f Desulfofervidales o Desulfofervidia c Desulfobacterota p Bacteria d d Bacteria p Desulfobacterota c Desulfofervidia o Desulfofervidales f Desulfofervidaceae g Desulfofervidus s Desulfofervidus auxilii RS GCF 001577525 1 001577525 GCF RS auxilii Desulfofervidus s Desulfofervidus g Desulfofervidaceae f Desulfofervidales o Desulfofervidia c Desulfobacterota p Bacteria d d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfatatoraceae g Thermodesulfatator s Thermodesulfatator atlanticus WGS ID ATXH01 d Bacteria p Desulfobacterota c Desulfobacteria o Desulfatiglandales f NaphS2 g 4484-190-2 s 4484-190-2 sp002050025 WGS ID MVDB01 ID WGS sp002050025 4484-190-2 s 4484-190-2 g NaphS2 f Desulfatiglandales o Desulfobacteria c Desulfobacterota p Bacteria d d Bacteria p Desulfobacterota c Thermodesulfobacteria o Thermodesulfobacteriales f Thermodesulfobacteriaceae g QOAM01 s QOAM01 sp003978075 WGS ID QOAM01 d Bacteria p Desulfobacterota c BSN033 o UBA8473 f UBA8473 g UBA8473 s UBA8473 sp002782605 WGS -
The Keystone Species of Precambrian Deep Bedrock Biosphere the Supplement Related to This Article Is Available Online at Doi:10.5194/Bgd-12-18103-2015-Supplement
Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Biogeosciences Discuss., 12, 18103–18150, 2015 www.biogeosciences-discuss.net/12/18103/2015/ doi:10.5194/bgd-12-18103-2015 BGD © Author(s) 2015. CC Attribution 3.0 License. 12, 18103–18150, 2015 This discussion paper is/has been under review for the journal Biogeosciences (BG). The keystone species Please refer to the corresponding final paper in BG if available. of Precambrian deep bedrock biosphere The keystone species of Precambrian L. Purkamo et al. deep bedrock biosphere belong to Burkholderiales and Clostridiales Title Page Abstract Introduction L. Purkamo1, M. Bomberg1, R. Kietäväinen2, H. Salavirta1, M. Nyyssönen1, M. Nuppunen-Puputti1, L. Ahonen2, I. Kukkonen2,a, and M. Itävaara1 Conclusions References Tables Figures 1VTT Technical Research Centre of Finland Ltd., Espoo, Finland 2Geological Survey of Finland (GTK), Espoo, Finland anow at: University of Helsinki, Helsinki, Finland J I Received: 13 September 2015 – Accepted: 23 October 2015 – Published: 11 November 2015 J I Correspondence to: L. Purkamo (lotta.purkamo@vtt.fi) Back Close Published by Copernicus Publications on behalf of the European Geosciences Union. Full Screen / Esc Printer-friendly Version Interactive Discussion 18103 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract BGD The bacterial and archaeal community composition and the possible carbon assimi- lation processes and energy sources of microbial communities in oligotrophic, deep, 12, 18103–18150, 2015 crystalline bedrock fractures is yet to be resolved. In this study, intrinsic microbial com- 5 munities from six fracture zones from 180–2300 m depths in Outokumpu bedrock were The keystone species characterized using high-throughput amplicon sequencing and metagenomic predic- of Precambrian deep tion. -
Research Article Review Jmb
J. Microbiol. Biotechnol. (2017), 27(0), 1–7 https://doi.org/10.4014/jmb.1707.07027 Research Article Review jmb Methods 20,546 sequences and all the archaeal datasets were normalized to 21,154 sequences by the “sub.sample” Bioinformatics Analysis command. The filtered sequences were classified against The raw read1 and read2 datasets was demultiplexed by the SILVA 16S reference database (Release 119) using a trimming the barcode sequences with no more than 1 naïve Bayesian classifier built in Mothur with an 80% mismatch. Then the sequences with the same ID were confidence score [5]. Sequences passing through all the picked from the remaining read1 and read2 datasets by a filtration were also clustered into OTUs at 6% dissimilarity self-written python script. Bases with average quality score level. Then a “classify.otu” function was utilized to assign lower than 25 over a 25 bases sliding window were the phylogenetic information to each OTU. excluded and sequences which contained any ambiguous base or had a final length shorter than 200 bases were Reference abandoned using Sickle [1]. The paired reads were assembled into contigs and any contigs with an ambiguous 1. Joshi NA, FJ. 2011. Sickle: A sliding-window, adaptive, base, more than 8 homopolymeric bases and fewer than 10 quality-based trimming tool for FastQ files (Version 1.33) bp overlaps were culled. After that, the contigs were [Software]. further trimmed to get rid of the contigs that have more 2. Schloss PD. 2010. The Effects of Alignment Quality, than 1 forward primer mismatch and 2 reverse primer Distance Calculation Method, Sequence Filtering, and Region on the Analysis of 16S rRNA Gene-Based Studies.