Ray Absorption Spectroscopy
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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. -
Microbial Community Structure Dynamics in Ohio River Sediments During Reductive Dechlorination of Pcbs
University of Kentucky UKnowledge University of Kentucky Doctoral Dissertations Graduate School 2008 MICROBIAL COMMUNITY STRUCTURE DYNAMICS IN OHIO RIVER SEDIMENTS DURING REDUCTIVE DECHLORINATION OF PCBS Andres Enrique Nunez University of Kentucky Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Nunez, Andres Enrique, "MICROBIAL COMMUNITY STRUCTURE DYNAMICS IN OHIO RIVER SEDIMENTS DURING REDUCTIVE DECHLORINATION OF PCBS" (2008). University of Kentucky Doctoral Dissertations. 679. https://uknowledge.uky.edu/gradschool_diss/679 This Dissertation is brought to you for free and open access by the Graduate School at UKnowledge. It has been accepted for inclusion in University of Kentucky Doctoral Dissertations by an authorized administrator of UKnowledge. For more information, please contact [email protected]. ABSTRACT OF DISSERTATION Andres Enrique Nunez The Graduate School University of Kentucky 2008 MICROBIAL COMMUNITY STRUCTURE DYNAMICS IN OHIO RIVER SEDIMENTS DURING REDUCTIVE DECHLORINATION OF PCBS ABSTRACT OF DISSERTATION A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the College of Agriculture at the University of Kentucky By Andres Enrique Nunez Director: Dr. Elisa M. D’Angelo Lexington, KY 2008 Copyright © Andres Enrique Nunez 2008 ABSTRACT OF DISSERTATION MICROBIAL COMMUNITY STRUCTURE DYNAMICS IN OHIO RIVER SEDIMENTS DURING REDUCTIVE DECHLORINATION OF PCBS The entire stretch of the Ohio River is under fish consumption advisories due to contamination with polychlorinated biphenyls (PCBs). In this study, natural attenuation and biostimulation of PCBs and microbial communities responsible for PCB transformations were investigated in Ohio River sediments. Natural attenuation of PCBs was negligible in sediments, which was likely attributed to low temperature conditions during most of the year, as well as low amounts of available nitrogen, phosphorus, and organic carbon. -
Cryptic Inoviruses Revealed As Pervasive in Bacteria and Archaea Across Earth’S Biomes
ARTICLES https://doi.org/10.1038/s41564-019-0510-x Corrected: Author Correction Cryptic inoviruses revealed as pervasive in bacteria and archaea across Earth’s biomes Simon Roux 1*, Mart Krupovic 2, Rebecca A. Daly3, Adair L. Borges4, Stephen Nayfach1, Frederik Schulz 1, Allison Sharrar5, Paula B. Matheus Carnevali 5, Jan-Fang Cheng1, Natalia N. Ivanova 1, Joseph Bondy-Denomy4,6, Kelly C. Wrighton3, Tanja Woyke 1, Axel Visel 1, Nikos C. Kyrpides1 and Emiley A. Eloe-Fadrosh 1* Bacteriophages from the Inoviridae family (inoviruses) are characterized by their unique morphology, genome content and infection cycle. One of the most striking features of inoviruses is their ability to establish a chronic infection whereby the viral genome resides within the cell in either an exclusively episomal state or integrated into the host chromosome and virions are continuously released without killing the host. To date, a relatively small number of inovirus isolates have been extensively studied, either for biotechnological applications, such as phage display, or because of their effect on the toxicity of known bacterial pathogens including Vibrio cholerae and Neisseria meningitidis. Here, we show that the current 56 members of the Inoviridae family represent a minute fraction of a highly diverse group of inoviruses. Using a machine learning approach lever- aging a combination of marker gene and genome features, we identified 10,295 inovirus-like sequences from microbial genomes and metagenomes. Collectively, our results call for reclassification of the current Inoviridae family into a viral order including six distinct proposed families associated with nearly all bacterial phyla across virtually every ecosystem. -
Geomicrobiological Processes in Extreme Environments: a Review
202 Articles by Hailiang Dong1, 2 and Bingsong Yu1,3 Geomicrobiological processes in extreme environments: A review 1 Geomicrobiology Laboratory, China University of Geosciences, Beijing, 100083, China. 2 Department of Geology, Miami University, Oxford, OH, 45056, USA. Email: [email protected] 3 School of Earth Sciences, China University of Geosciences, Beijing, 100083, China. The last decade has seen an extraordinary growth of and Mancinelli, 2001). These unique conditions have selected Geomicrobiology. Microorganisms have been studied in unique microorganisms and novel metabolic functions. Readers are directed to recent review papers (Kieft and Phelps, 1997; Pedersen, numerous extreme environments on Earth, ranging from 1997; Krumholz, 2000; Pedersen, 2000; Rothschild and crystalline rocks from the deep subsurface, ancient Mancinelli, 2001; Amend and Teske, 2005; Fredrickson and Balk- sedimentary rocks and hypersaline lakes, to dry deserts will, 2006). A recent study suggests the importance of pressure in the origination of life and biomolecules (Sharma et al., 2002). In and deep-ocean hydrothermal vent systems. In light of this short review and in light of some most recent developments, this recent progress, we review several currently active we focus on two specific aspects: novel metabolic functions and research frontiers: deep continental subsurface micro- energy sources. biology, microbial ecology in saline lakes, microbial Some metabolic functions of continental subsurface formation of dolomite, geomicrobiology in dry deserts, microorganisms fossil DNA and its use in recovery of paleoenviron- Because of the unique geochemical, hydrological, and geological mental conditions, and geomicrobiology of oceans. conditions of the deep subsurface, microorganisms from these envi- Throughout this article we emphasize geomicrobiological ronments are different from surface organisms in their metabolic processes in these extreme environments. -
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. -
Dominio Archaea
FILOGENIA DE LOS SERES VIVOS: DOMINIO ARCHAEA Nuria Garzón Pinto Facultad de Farmacia Universidad de Sevilla Septiembre de 2017 FILOGENIA DE LOS SERES VIVOS: DOMINIO ARCHAEA TRABAJO FIN DE GRADO Nuria Garzón Pinto Tutores: Antonio Ventosa Ucero y Cristina Sánchez-Porro Álvarez Tipología del trabajo: Revisión bibliográfica Grado en Farmacia. Facultad de Farmacia Departamento de Microbiología y Parasitología (Área de Microbiología) Universidad de Sevilla Sevilla, septiembre de 2017 RESUMEN A lo largo de la historia, la clasificación de los seres vivos ha ido variando en función de las diversas aportaciones científicas que se iban proponiendo, y la historia evolutiva de los organismos ha sido durante mucho tiempo algo que no se lograba conocer con claridad. Actualmente, gracias sobre todo a las ideas aportadas por Carl Woese y colaboradores, se sabe que los seres vivos se clasifican en 3 dominios (Bacteria, Eukarya y Archaea) y se conocen las herramientas que nos permiten realizar estudios filogenéticos, es decir, estudiar el origen de las especies. La herramienta principal, y en base a la cual se ha realizado la clasificación actual es el ARNr 16S. Sin embargo, hoy día sedispone de otros métodos que ayudan o complementan los análisis de la evolución de los seres vivos. En este trabajo se analiza cómo surgió el dominio Archaea, se describen las características y aspectos más importantes de las especies este grupo y se compara con el resto de dominios (Bacteria y Eukarya). Las arqueas han despertado un gran interés científico y han sido investigadas sobre todo por su capacidad para adaptarse y desarrollarse en ambientes extremos. -
Prokaryotic Biodiversity of Lonar Meteorite Crater Soda Lake Sediment and Community Dynamics During Microenvironmental Ph Homeostasis by Metagenomics
Prokaryotic Biodiversity of Lonar Meteorite Crater Soda Lake Sediment and Community Dynamics During Microenvironmental pH Homeostasis by Metagenomics Dissertation for the award of the degree "Doctor of Philosophy" Ph.D. Division of Mathematics and Natural Sciences of the Georg-August-Universität Göttingen within the doctoral program in Biology of the Georg-August University School of Science (GAUSS) Submitted by Soumya Biswas from Ranchi (India) Göttingen, 2016 Thesis Committee Prof. Dr. Rolf Daniel Department of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, Faculty of Biology and Psychology, Georg-August-Universität Göttingen, Germany PD Dr. Michael Hoppert Department of General Microbiology, Institute of Microbiology and Genetics, Faculty of Biology and Psychology, Georg-August-Universität Göttingen, Germany Members of the Examination Board Reviewer: Prof. Dr. Rolf Daniel, Department of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, Faculty of Biology and Psychology, Georg-August-Universität Göttingen, Germany Second Reviewer: PD Dr. Michael Hoppert, Department of General Microbiology, Institute of Microbiology and Genetics, Faculty of Biology and Psychology, Georg-August-Universität Göttingen, Germany Further members of the Examination Board: Prof. Dr. Burkhard Morgenstern, Department of Bioinformatics, Institute of Microbiology and Genetics, Faculty of Biology and Psychology, Georg-August-Universität Göttingen, Germany PD Dr. Fabian Commichau, Department of General Microbiology, -
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a 50 40 DSB 30 DSS HSB OTUs 20 10 HSS 0 REB 0 20406080RES Number of clones 20 DSB b 15 DSS 10 HSB OTUs 5 HSS 0 REB 0 204060 RES Number of clones Fig. S1. Rarefaction curves for bacterial (a) and archaeal (b) clone libraries. 1 Fig. S2. Communities clustered using normalized weighted-UniFrac PCA for bacterial communities (a). Each point represents an individual sample. 2 a b Jaccard Chao cd Jaccard Chao Fig. S3. Communities clustered using multidimensional scaling method for bacterial (a and b, Jaccard- and Chao-indices, respectively) and archaeal communities (c and d, Jaccard- and Chao-indices, respectively). Each point represents an individual sample. 3 Table S1. Summary of archaeal 16S rRNA gene clone sequences identified from the Yamagawa coastal hydrothermal field. Number of clones Pylogenetic group Representative clone Closest match (NCBI BLAST) Source Accession no. Similarity (%) HSS HSB DSS DSB RES REB Crenarchaeota Desulfurococcacae DSB_A38 1 Aeropyrum camini strain SY1 deep-sea hydrothermal vent chimney NR_040973 95 HSB_A50 1 Aeropyrum camini strain SY1 deep-sea hydrothermal vent chimney NR_040973 95 HSB_A77 6 Aeropyrum camini strain SY1 deep-sea hydrothermal vent chimney NR_040973 96 HSS_A02 1 10 Aeropyrum camini strain SY1 deep-sea hydrothermal vent chimney NR_040973 97 HSB_A38 2 clone HTM1036Pn-A124 microbial mats on polychaete nests at the Hatoma Knoll AB611454 99 HSB_A68 1 clone HTM1036Pn-A124 microbial mats on polychaete nests at the Hatoma Knoll AB611454 93 Pyrodictiaceae HSB_A20 2 Geogemma indica strain 296 deep-sea hydrothermal vent sulfide chimney DQ492260 98 HSB_A46 1 clone TOTO-A1-15 Pacific Ocean, Mariana Volcanic Arc AB167480 95 HSB_A23 1 clone F99a113 nascent hydrothermal chimney DQ228527 99 Thermoproteaceae HSB_A18 3 Pyrobaculum aerophilum str. -
Quasialign: Position Sensitive P-Mer Frequency Clustering with Applications to Genomic Classification and Differentiation
QuasiAlign: Position Sensitive P-Mer Frequency Clustering with Applications to Genomic Classification and Differentiation Anurag Nagar Michael Hahsler Southern Methodist University Southern Methodist University Abstract Recent advances in Metagenomics and the Human Microbiome provide a complex landscape for dealing with a multitude of genomes all at once. One of the many challenges in this field is classification of the genomes present in a sample. Effective metagenomic classification and diversity analysis require complex representations of taxa. With this package we develop a suite of tools, based on novel quasi-alignment techniques to rapidly classify organisms using our new approach on a laptop computer instead of several multi- processor servers. This approach will facilitate the development of fast and inexpensive devices for microbiome-based health screening in the near future. Keywords:~data mining, clustering, Markov chain. 1. Introduction Metagenomics (Handelsman, Rondon, Brady, Clardy, and Goodman 1998) and the Human Microbiome Turnbaugh, Ley, Hamady, Fraser-Liggett, Knight, and Gordon(2007); Mai, Ukhanova, and Baer(2010) provide a complex landscape for dealing with a multitude of genomes all at once. One of the many challenges in this field is classification of the genomes present in the sample. Effective metagenomic classification and diversity analysis require complex representations of taxa. A common characteristic of most sequence-based classification techniques (e.g., BAlibase (Smith and Waterman 1981), BLAST (Altschul, Gish, Miller, Myers, and Lipman 1990), T-Coffee (Notredame, Higgins, and Heringa 2000), MAFFT (Katoh, Misawa, Kuma, and Miyata 2002), MUSCLE (Edgar 2004b,a), Kalign (Lassmann and Sonnhammer 2006) and ClustalW2 and ClustalX2 (Larkin, Blackshields, Brown, Chenna, McGettigan, McWilliam, Valentin, Wallace, Wilm, Lopez, Thompson, Gibson, and Higgins 2007)) is the use of com- putationally very expensive sequence alignment. -
Cryptic Inoviruses Are Pervasive in Bacteria and Archaea Across Earth's
bioRxiv preprint doi: https://doi.org/10.1101/548222; this version posted February 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Cryptic inoviruses are pervasive in bacteria and archaea across Earth’s biomes Simon Roux1*, Mart Krupovic2, Rebecca A. Daly3, Adair L. Borges4, Stephen Nayfach1, Frederik Schulz1, Jan-Fang Cheng1, Natalia N. Ivanova1, Joseph Bondy-Denomy4,5, Kelly C. Wrighton3, Tanja Woyke1, Axel Visel1, Nikos C. Kyrpides1, Emiley A. Eloe-Fadrosh1* 1 5 DOE Joint Genome Institute, Walnut Creek, CA 94598, USA 2Institut Pasteur, Unité Biologie Moléculaire du Gène chez les Extrêmophiles, Paris, 75015, France 3Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80521, USA 4Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA 5 10 Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA 94143, USA *Correspondence to: EAE-F [email protected], SR [email protected] Abstract 15 Bacteriophages from the Inoviridae family (inoviruses) are characterized by their unique morphology, genome content, and infection cycle. To date, a relatively small number of inovirus isolates have been extensively studied, either for biotechnological applications such as phage display, or because of their impact on the toxicity of known bacterial pathogens including Vibrio cholerae and Neisseria meningitidis. Here we show that the current 56 members of the Inoviridae family represent a minute 20 fraction of a highly diverse group of inoviruses. -
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