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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. -
A Study on the Phototrophic Microbial Mat Communities of Sulphur Mountain Thermal Springs and Their Association with the Endangered, Endemic Snail Physella Johnsoni
A Study on the Phototrophic Microbial Mat Communities of Sulphur Mountain Thermal Springs and their Association with the Endangered, Endemic Snail Physella johnsoni By Michael Bilyj A thesis submitted to the Faculty of Graduate Studies in partial fulfillment of the requirements for the degree of Master of Science Department of Microbiology Faculty of Science University of Manitoba Winnipeg, Manitoba October 2011 © Copyright 2011, Michael A. Bilyj 1 Abstract The seasonal population fluctuation of anoxygenic phototrophs and the diversity of cyanobacteria at the Sulphur Mountain thermal springs of Banff, Canada were investigated and compared to the drastic population changes of the endangered snail Physella johnsoni. A new species and two strains of Rhodomicrobium were taxonomically characterized in addition to new species of Rhodobacter and Erythromicrobium. Major mat-forming organisms included Thiothrix-like species, oxygenic phototrophs of genera Spirulina, Oscillatoria, and Phormidium and purple nonsulfur bacteria Rhodobacter, Rhodopseudomonas and Rhodomicrobium. Aerobic anoxygenic phototrophs comprised upwards of 9.6 x 104 CFU/cm2 of mat or 18.9% of total aerobic heterotrophic bacterial isolates at certain sites, while maximal purple nonsulfur and purple sulfur bacteria were quantified at 3.2 x 105 and 2.0 x 106 CFU/cm2 of mat, respectively. Photosynthetic activity measurements revealed incredibly productive carbon fixation rates averaging 40.5 mg C/cm2/24 h. A temporal mismatch was observed for mat area and prokaryote-based organics to P. johnsoni population flux in a ―tracking inertia‖ manner. 2 Acknowledgements It is difficult to express sufficient gratitude to my supervisor Dr. Vladimir Yurkov for his unfaltering patience, generosity and motivation throughout this entire degree. -
Alpine Soil Bacterial Community and Environmental Filters Bahar Shahnavaz
Alpine soil bacterial community and environmental filters Bahar Shahnavaz To cite this version: Bahar Shahnavaz. Alpine soil bacterial community and environmental filters. Other [q-bio.OT]. Université Joseph-Fourier - Grenoble I, 2009. English. tel-00515414 HAL Id: tel-00515414 https://tel.archives-ouvertes.fr/tel-00515414 Submitted on 6 Sep 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour l’obtention du titre de l'Université Joseph-Fourier - Grenoble 1 École Doctorale : Chimie et Sciences du Vivant Spécialité : Biodiversité, Écologie, Environnement Communautés bactériennes de sols alpins et filtres environnementaux Par Bahar SHAHNAVAZ Soutenue devant jury le 25 Septembre 2009 Composition du jury Dr. Thierry HEULIN Rapporteur Dr. Christian JEANTHON Rapporteur Dr. Sylvie NAZARET Examinateur Dr. Jean MARTIN Examinateur Dr. Yves JOUANNEAU Président du jury Dr. Roberto GEREMIA Directeur de thèse Thèse préparée au sien du Laboratoire d’Ecologie Alpine (LECA, UMR UJF- CNRS 5553) THÈSE Pour l’obtention du titre de Docteur de l’Université de Grenoble École Doctorale : Chimie et Sciences du Vivant Spécialité : Biodiversité, Écologie, Environnement Communautés bactériennes de sols alpins et filtres environnementaux Bahar SHAHNAVAZ Directeur : Roberto GEREMIA Soutenue devant jury le 25 Septembre 2009 Composition du jury Dr. -
Which Organisms Are Used for Anti-Biofouling Studies
Table S1. Semi-systematic review raw data answering: Which organisms are used for anti-biofouling studies? Antifoulant Method Organism(s) Model Bacteria Type of Biofilm Source (Y if mentioned) Detection Method composite membranes E. coli ATCC25922 Y LIVE/DEAD baclight [1] stain S. aureus ATCC255923 composite membranes E. coli ATCC25922 Y colony counting [2] S. aureus RSKK 1009 graphene oxide Saccharomycetes colony counting [3] methyl p-hydroxybenzoate L. monocytogenes [4] potassium sorbate P. putida Y. enterocolitica A. hydrophila composite membranes E. coli Y FESEM [5] (unspecified/unique sample type) S. aureus (unspecified/unique sample type) K. pneumonia ATCC13883 P. aeruginosa BAA-1744 composite membranes E. coli Y SEM [6] (unspecified/unique sample type) S. aureus (unspecified/unique sample type) graphene oxide E. coli ATCC25922 Y colony counting [7] S. aureus ATCC9144 P. aeruginosa ATCCPAO1 composite membranes E. coli Y measuring flux [8] (unspecified/unique sample type) graphene oxide E. coli Y colony counting [9] (unspecified/unique SEM sample type) LIVE/DEAD baclight S. aureus stain (unspecified/unique sample type) modified membrane P. aeruginosa P60 Y DAPI [10] Bacillus sp. G-84 LIVE/DEAD baclight stain bacteriophages E. coli (K12) Y measuring flux [11] ATCC11303-B4 quorum quenching P. aeruginosa KCTC LIVE/DEAD baclight [12] 2513 stain modified membrane E. coli colony counting [13] (unspecified/unique colony counting sample type) measuring flux S. aureus (unspecified/unique sample type) modified membrane E. coli BW26437 Y measuring flux [14] graphene oxide Klebsiella colony counting [15] (unspecified/unique sample type) P. aeruginosa (unspecified/unique sample type) graphene oxide P. aeruginosa measuring flux [16] (unspecified/unique sample type) composite membranes E. -
The Gut Microbiome of the Sea Urchin, Lytechinus Variegatus, from Its Natural Habitat Demonstrates Selective Attributes of Micro
FEMS Microbiology Ecology, 92, 2016, fiw146 doi: 10.1093/femsec/fiw146 Advance Access Publication Date: 1 July 2016 Research Article RESEARCH ARTICLE The gut microbiome of the sea urchin, Lytechinus variegatus, from its natural habitat demonstrates selective attributes of microbial taxa and predictive metabolic profiles Joseph A. Hakim1,†, Hyunmin Koo1,†, Ranjit Kumar2, Elliot J. Lefkowitz2,3, Casey D. Morrow4, Mickie L. Powell1, Stephen A. Watts1,∗ and Asim K. Bej1,∗ 1Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, Birmingham, AL 35294, USA, 2Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL 35294, USA, 3Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA and 4Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, 1918 University Blvd., Birmingham, AL 35294, USA ∗Corresponding authors: Department of Biology, University of Alabama at Birmingham, 1300 University Blvd, CH464, Birmingham, AL 35294-1170, USA. Tel: +1-(205)-934-8308; Fax: +1-(205)-975-6097; E-mail: [email protected]; [email protected] †These authors contributed equally to this work. One sentence summary: This study describes the distribution of microbiota, and their predicted functional attributes, in the gut ecosystem of sea urchin, Lytechinus variegatus, from its natural habitat of Gulf of Mexico. Editor: Julian Marchesi ABSTRACT In this paper, we describe the microbial composition and their predictive metabolic profile in the sea urchin Lytechinus variegatus gut ecosystem along with samples from its habitat by using NextGen amplicon sequencing and downstream bioinformatics analyses. The microbial communities of the gut tissue revealed a near-exclusive abundance of Campylobacteraceae, whereas the pharynx tissue consisted of Tenericutes, followed by Gamma-, Alpha- and Epsilonproteobacteria at approximately equal capacities. -
Information to Users
INFORMATION TO USERS This manuscript has been reproduced from themicrofilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, prim bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note win indicate the deletion. Oversize materials (e.g^ maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. Each original is also photographed in one exposure and is included in reduced form at the back of the book. Photographs inchiried in the original manuscript have been reproduced xerographically in this copy. Higher quality 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order. A Be<l & Howell Information Company 300 North ZeeO Road. Ann Arbor. Ml 48106-1346 USA 313.- 761-4700 800/ 521-0600 BACTERIA ASSOCIATED WITH WELL WATER: BIOGEOCHEMICAL TRANSFORMATION OF FE AND MN, AND CHARACTERIZATION AND CHEMOTAXIS OF A METHYLOTROPHIC HYPHOMICROBIUM SP. DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in the Graduate School of The Ohio State University By Laura Tuhela, B.S., M.S. -
Hyphal Proteobacteria, Hirschia Baltica Gen. Nov. , Sp. Nov
INTERNATIONALJOURNAL OF SYSTEMATICBACTERIOLOGY, Oct. 1990, p. 443451 Vol. 40. No. 4 0020-7713/9O/040443-O9$02.00/0 Copyright 0 1990, International Union of Microbiological Societies Taxonomic and Phylogenetic Studies on a New Taxon of Budding, Hyphal Proteobacteria, Hirschia baltica gen. nov. , sp. nov. HEINZ SCHLESNER," CHRISTINA BARTELS, MANUEL SITTIG, MATTHIAS DORSCH, AND ERKO STACKEBRANDTT Institut fur Allgemeine Mikrobiologie, Christian-Albrecht-Universitat, 2300 Kiel, Federal Republic of Germany Four strains of budding, hyphal bacteria, which had very similar chemotaxonomic properties, were isolated from the Baltic Sea. The results of DNA-DNA hybridization experiments, indicated that three of the new isolates were closely related, while the fourth was only moderately related to the other three. Sequence signature and higher-order structural detail analyses of the 16s rRNA of strain IFAM 141gT (T = type strain) indicated that this isolate is related to the alpha subclass of the class Proteobacteriu. Although our isolates resemble members of the genera Hyphomicrobium and Hyphomonas in morphology, assignment to either of these genera was excluded on the basis of their markedly lower DNA guanine-plus-cytosine contents. We propose that these organisms should be placed in a new genus, Hirschiu baltica is the type species of this genus, and the type strain of H. bdtica is strain IFAM 1418 (= DSM 5838). Since the first description of a hyphal, budding bacterium, no1 and formamide were tested at concentrations of 0.02 and Hyphomicrobium vulgare (53), only the following additional 0.1% (vol/vol). Utilization of nitrogen sources was tested in genera having this morphological type have been formally M9 medium containing glucose as the carbon source. -
Deterioration of an Etruscan Tomb by Bacteria from the Order Rhizobiales
OPEN Deterioration of an Etruscan tomb by SUBJECT AREAS: bacteria from the order Rhizobiales SOIL MICROBIOLOGY Marta Diaz-Herraiz1*, Valme Jurado1*, Soledad Cuezva2, Leonila Laiz1, Pasquino Pallecchi3, Piero Tiano4, MICROBIOLOGY TECHNIQUES Sergio Sanchez-Moral5 & Cesareo Saiz-Jimenez1 Received 1Instituto de Recursos Naturales y Agrobiologia, IRNAS-CSIC, Avda. Reina Mercedes 10, 41012 Sevilla, Spain, 2Departamento de 23 September 2013 Ciencias de la Tierra y del Medio Ambiente, Universidad de Alicante, 03690 San Vicente del Raspeig, Spain, 3Soprintendenza per i Beni Archeologici della Toscana, 50143 Firenze, Italy, 4CNR Istituto per la Conservazione e Valorizzazione dei Beni Culturali, Accepted 50019 Sesto Fiorentino, Italy, 5Museo Nacional de Ciencias Naturales, MNCN-CSIC, 28006 Madrid, Spain. 10 December 2013 Published The Etruscan civilisation originated in the Villanovan Iron Age in the ninth century BC and was absorbed by 9 January 2014 Rome in the first century BC. Etruscan tombs, many of which are subterranean, are one of the best representations of this culture. The principal importance of these tombs, however, lies in the wall paintings and in the tradition of rich burial, which was unique in the Mediterranean Basin, with the exception of Correspondence and Egypt. Relatively little information is available concerning the biodeterioration of Etruscan tombs, which is caused by a colonisation that covers the paintings with white, circular to irregular aggregates of bacteria or requests for materials biofilms that tend to connect each other. Thus, these colonisations sometimes cover extensive surfaces. Here should be addressed to we show that the colonisation of paintings in Tomba del Colle is primarily due to bacteria of the order C.S.-J. -
Deoxyribonucleic Acid Base Sequence Homologies of Some Budding and Prosthecate Bacterla RICHARD L
JOURNAL OF BACTERIOLOGY, Apr. 1972, p. 256-261 Vol. 110, No. 1 Copyright © 1972 American Society for Microbiology Printed in U.S.A. Deoxyribonucleic Acid Base Sequence Homologies of Some Budding and Prosthecate Bacterla RICHARD L. MOORE' AND PETER HIRSCH2 Department of Microbiology and Public Health, Michigan State University, East Lansing, Michigan 48823 Received for publication 21 December 1971 The genetic relatedness of a number of budding and prosthecate bacteria was determined by deoxyribonucleic acid (DNA) homology experiments of the di- rect binding type. Strains of Hyphomicrobium sp. isolated from aquatic habi- tats were found to have relatedness values ranging from 9 to 70% with strain "EA-617," a subculture of the Hyphomicrobium isolated by Mevius from river water. Strains obtained from soil enrichments had lower values with EA-617, ranging from 3 to 5%. Very little or no homology was detected between the amino acid-utilizing strain Hyphomicrobium neptunium and other Hyphomi- crobium strains, although significant homology was observed with the two Hyphomonas strains examined. No homology could be detected between pros- thecate bacteria of the genera Rhodomicrobium, Prosthecomicrobium, Ancal- omicrobium, or Caulobacter, and Hyphomicrobium strain EA-617 or H. nep- tunium LE-670. The grouping of Hyphomicrobium strains by their relatedness values agrees well with a grouping according to the base composition of their DNA species. It is concluded that bacteria possessing cellular extensions repre- sent a widely diverse group of organisms. Two genera of bacteria, Hyphomicrobium drum, P. pneumaticum, Ancalomicrobium adetum, and Rhodomicrobium, are listed under the and Caulobacter crescentus were obtained from J. T. family of Hyphomicrobiaceae in the seventh Staley (Seattle); Rhodomicrobium vannielii was re- edition of Bergey's Manual of Determinative ceived from H. -
Supplementary Information
Supplementary Information Comparative Microbiome and Metabolome Analyses of the Marine Tunicate Ciona intestinalis from Native and Invaded Habitats Caroline Utermann 1, Martina Blümel 1, Kathrin Busch 2, Larissa Buedenbender 1, Yaping Lin 3,4, Bradley A. Haltli 5, Russell G. Kerr 5, Elizabeta Briski 3, Ute Hentschel 2,6, Deniz Tasdemir 1,6* 1 GEOMAR Centre for Marine Biotechnology (GEOMAR-Biotech), Research Unit Marine Natural Products Chemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, Am Kiel-Kanal 44, 24106 Kiel, Germany 2 Research Unit Marine Symbioses, GEOMAR Helmholtz Centre for Ocean Research Kiel, Duesternbrooker Weg 20, 24105 Kiel, Germany 3 Research Group Invasion Ecology, Research Unit Experimental Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Duesternbrooker Weg 20, 24105 Kiel, Germany 4 Chinese Academy of Sciences, Research Center for Eco-Environmental Sciences, 18 Shuangqing Rd., Haidian District, Beijing, 100085, China 5 Department of Chemistry, University of Prince Edward Island, 550 University Avenue, Charlottetown, PE C1A 4P3, Canada 6 Faculty of Mathematics and Natural Sciences, Kiel University, Christian-Albrechts-Platz 4, Kiel 24118, Germany * Corresponding author: Deniz Tasdemir ([email protected]) This document includes: Supplementary Figures S1-S11 Figure S1. Genotyping of C. intestinalis with the mitochondrial marker gene COX3-ND1. Figure S2. Influence of the quality filtering steps on the total number of observed read pairs from amplicon sequencing. Figure S3. Rarefaction curves of OTU abundances for C. intestinalis and seawater samples. Figure S4. Multivariate ordination plots of the bacterial community associated with C. intestinalis. Figure S5. Across sample type and geographic origin comparison of the C. intestinalis associated microbiome. -
Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights Into the Origin and Distribution of Nitrogen Fixation Across Bacteria and Archaea
microorganisms Article Phylogeny of Nitrogenase Structural and Assembly Components Reveals New Insights into the Origin and Distribution of Nitrogen Fixation across Bacteria and Archaea Amrit Koirala 1 and Volker S. Brözel 1,2,* 1 Department of Biology and Microbiology, South Dakota State University, Brookings, SD 57006, USA; [email protected] 2 Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0004, South Africa * Correspondence: [email protected]; Tel.: +1-605-688-6144 Abstract: The phylogeny of nitrogenase has only been analyzed using the structural proteins NifHDK. As nifHDKENB has been established as the minimum number of genes necessary for in silico predic- tion of diazotrophy, we present an updated phylogeny of diazotrophs using both structural (NifHDK) and cofactor assembly proteins (NifENB). Annotated Nif sequences were obtained from InterPro from 963 culture-derived genomes. Nif sequences were aligned individually and concatenated to form one NifHDKENB sequence. Phylogenies obtained using PhyML, FastTree, RapidNJ, and ASTRAL from individuals and concatenated protein sequences were compared and analyzed. All six genes were found across the Actinobacteria, Aquificae, Bacteroidetes, Chlorobi, Chloroflexi, Cyanobacteria, Deferribacteres, Firmicutes, Fusobacteria, Nitrospira, Proteobacteria, PVC group, and Spirochaetes, as well as the Euryarchaeota. The phylogenies of individual Nif proteins were very similar to the overall NifHDKENB phylogeny, indicating the assembly proteins have evolved together. Our higher resolution database upheld the three cluster phylogeny, but revealed undocu- Citation: Koirala, A.; Brözel, V.S. mented horizontal gene transfers across phyla. Only 48% of the 325 genera containing all six nif genes Phylogeny of Nitrogenase Structural and Assembly Components Reveals are currently supported by biochemical evidence of diazotrophy. -
A Vector Representation of DNA Sequences Using Locality Sensitive Hashing
bioRxiv preprint doi: https://doi.org/10.1101/726729; this version posted August 6, 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. A Vector Representation of DNA Sequences Using Locality Sensitive Hashing Lizhen Shi∗ Bo Chen∗ [email protected] [email protected] Florida State University Tallahassee, Florida Tallahassee, Florida ABSTRACT Drawing from the analogy between natural language and "genomic Figure 1: A Lookup Table sequence language", we explored the applicability of word embed- dings in natural language processing (NLP) to represent DNA reads in Metagenomics studies. Here, k-mer is the equivalent concept of word in NLP and it has been widely used in analyzing sequence data. However, directly replacing word embedding with k-mer embed- ding is problematic due to two reasons: First, the number of k-mers is many times of the number of words in NLP, making the model too big to be useful. Second, sequencing errors create lots of rare k-mers (noise), making the model hard to be trained. In this work, we leverage Locality Sensitive Hashing (LSH) to overcoming these challenges. We then adopted the skip-gram with negative sampling model to learn k-mer embeddings. Experiments on metagenomic datasets with labels demonstrated that LSH can not only accelerate training time and reduce the memory requirements to store the model, but also achieve higher accuracy than alternative methods.