A Phylogeny-Driven Genomic Encyclopaedia of Bacteria and Archaea
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Reporting of Diseases and Conditions Regulation, Amendment, M.R. 289/2014
THE PUBLIC HEALTH ACT LOI SUR LA SANTÉ PUBLIQUE (C.C.S.M. c. P210) (c. P210 de la C.P.L.M.) Reporting of Diseases and Conditions Règlement modifiant le Règlement sur la Regulation, amendment déclaration de maladies et d'affections Regulation 289/2014 Règlement 289/2014 Registered December 23, 2014 Date d'enregistrement : le 23 décembre 2014 Manitoba Regulation 37/2009 amended Modification du R.M. 37/2009 1 The Reporting of Diseases and 1 Le présent règlement modifie le Conditions Regulation , Manitoba Règlement sur la déclaration de maladies et Regulation 37/2009, is amended by this d'affections , R.M. 37/2009. regulation. 2 Schedules A and B are replaced with 2 Les annexes A et B sont remplacées Schedules A and B to this regulation. par les annexes A et B du présent règlement. Coming into force Entrée en vigueur 3 This regulation comes into force on 3 Le présent règlement entre en vigueur January 1, 2015, or on the day it is registered le 1 er janvier 2015 ou à la date de son under The Statutes and Regulations Act , enregistrement en vertu de Loi sur les textes whichever is later. législatifs et réglementaires , si cette date est postérieure. December 19, 2014 Minister of Health/La ministre de la Santé, 19 décembre 2014 Sharon Blady 1 SCHEDULE A (Section 1) 1 The following diseases are diseases requiring contact notification in accordance with the disease-specific protocol. Common name Scientific or technical name of disease or its infectious agent Chancroid Haemophilus ducreyi Chlamydia Chlamydia trachomatis (including Lymphogranuloma venereum (LGV) serovars) Gonorrhea Neisseria gonorrhoeae HIV Human immunodeficiency virus Syphilis Treponema pallidum subspecies pallidum Tuberculosis Mycobacterium tuberculosis Mycobacterium africanum Mycobacterium canetti Mycobacterium caprae Mycobacterium microti Mycobacterium pinnipedii Mycobacterium bovis (excluding M. -
Chemical Structures of Some Examples of Earlier Characterized Antibiotic and Anticancer Specialized
Supplementary figure S1: Chemical structures of some examples of earlier characterized antibiotic and anticancer specialized metabolites: (A) salinilactam, (B) lactocillin, (C) streptochlorin, (D) abyssomicin C and (E) salinosporamide K. Figure S2. Heat map representing hierarchical classification of the SMGCs detected in all the metagenomes in the dataset. Table S1: The sampling locations of each of the sites in the dataset. Sample Sample Bio-project Site depth accession accession Samples Latitude Longitude Site description (m) number in SRA number in SRA AT0050m01B1-4C1 SRS598124 PRJNA193416 Atlantis II water column 50, 200, Water column AT0200m01C1-4D1 SRS598125 21°36'19.0" 38°12'09.0 700 and above the brine N "E (ATII 50, ATII 200, 1500 pool water layers AT0700m01C1-3D1 SRS598128 ATII 700, ATII 1500) AT1500m01B1-3C1 SRS598129 ATBRUCL SRS1029632 PRJNA193416 Atlantis II brine 21°36'19.0" 38°12'09.0 1996– Brine pool water ATBRLCL1-3 SRS1029579 (ATII UCL, ATII INF, N "E 2025 layers ATII LCL) ATBRINP SRS481323 PRJNA219363 ATIID-1a SRS1120041 PRJNA299097 ATIID-1b SRS1120130 ATIID-2 SRS1120133 2168 + Sea sediments Atlantis II - sediments 21°36'19.0" 38°12'09.0 ~3.5 core underlying ATII ATIID-3 SRS1120134 (ATII SDM) N "E length brine pool ATIID-4 SRS1120135 ATIID-5 SRS1120142 ATIID-6 SRS1120143 Discovery Deep brine DDBRINP SRS481325 PRJNA219363 21°17'11.0" 38°17'14.0 2026– Brine pool water N "E 2042 layers (DD INF, DD BR) DDBRINE DD-1 SRS1120158 PRJNA299097 DD-2 SRS1120203 DD-3 SRS1120205 Discovery Deep 2180 + Sea sediments sediments 21°17'11.0" -
Leaf-Associated Shifts in Bacterial and Fungal Communities in Response to Chicken Rearing Under Moso Bamboo Forests in Subtropical China
Article Leaf-Associated Shifts in Bacterial and Fungal Communities in Response to Chicken Rearing Under Moso Bamboo Forests in Subtropical China Xiaoping Zhang 1, Zheke Zhong 1,*, Xu Gai 1, Jiafu Ying 2, Weifen Li 2, Xuhua Du 1, Fangyuan Bian 1 and Chuanbao Yang 1 1 China National Bamboo Research Center, Key Laboratory of Resources and Utilization of Bamboo of State Forestry Administration, Hangzhou 310012, China; [email protected] (X.Z.); [email protected] (X.G.); [email protected] (X.D.); [email protected] (F.B.); [email protected] (C.Y.) 2 College of Animal Sciences, Zhejiang University, Hangzhou 310058, China; [email protected] (J.Y.); wfl[email protected] (W.L.) * Correspondence: [email protected]; Tel.: +86-0571-88860734 Received: 25 January 2019; Accepted: 25 February 2019; Published: 1 March 2019 Abstract: Integrated bamboo-chicken farming (BCF) systems are a traditional agroforestry pattern with large economic benefits in subtropical China. However, little is known regarding the effect of this integration on the bamboo leaf-associated microbiome, which can be very important for disease control and nutrient turnover. In the present study, we compared the leaf-associated bacterial and fungal communities of moso bamboo (Phyllostachys edulis) in a BCF system and an adjacent moso bamboo forest (MBF). The results showed that Cyanobacteria and Ascomycota were the predominant microbial phyla associated with bamboo leaves. Chicken farming under the bamboo forest significantly increased the bacterial and fungal alpha diversity (observed operational taxonomic units (OTUs) and Simpson’s index) associated with bamboo leaves. Principal components analysis (PCoA) further confirmed the shifts in the bacterial and fungal communities caused by chicken farming. -
Methanogenic Activity in Río Tinto, a Terrestrial Mars Analogue R
Methanogenic activity in Río Tinto, a terrestrial Mars analogue R. Amils Centro de Biología Molecular Severo Ochoa (UAM-CSIC) y Centro de Astrobiología (INTA- CSIC) Frascati, noviembre 2009 new insides in the Mars exploration H2O on Mars methane (PFS) it can be concluded that on Mars there are sedimentary rocks that were formed in acidic conditions (acidic lakes or oceans) • possible terrestrial analogs: - submarine hydrothermalism - acidic environments to explore the deep sea requires expensive equipment (Alvin) natural acidic waters natural acidic environments: - areas with volcanic activity 0 SO2 + H2S ——> S + H2O - metal mining activities 3+ 2- + FeS2 + H2O —> Fe + SO4 + H in this case the extreme acidic conditions are promoted by biological activity geomicrobiology of metallic sulfides pyrite, molibdenite, tungstenite (thiosulfate mec.) 3+ 2- 2+ + FeS2+6Fe +3H2O → S2O3 +7Fe +6H 2- 3+ 2- 2+ + S2O3 +8Fe +5H2O → 2SO4 +8Fe +10H Rest of sulfides (polisulfide mec.) 3+ + 2+ 2+ 8MS+8Fe +8H → 8M +4H2Sn+8Fe (n≥2) 3+ o 2+ + 4H2Sn+8Fe → S8 +8Fe +8H o 2- + S8 +4H2O (S oxidizers) → SO4 +8H Bacterias come-meteoritos role of the microbial activity in the leaching of pyrite chemical 3+ reaction Fe Fe2+ microbial activity 2- + SO4 + H Rio Tinto rise at the heart of the Iberian Pyritic Belt Río Tinto is an acidic river, pH 2.3, 100 km long and with a high concentration of soluble metals the iron concentration at the origin is between 15-20 g/l and the sulfate is constant and around 15 g/l geoMICROBIOLOGY combination of conventional microbial ecology techniques and molecular ecology tools A B Phylogeny of acidophilic microorganisms detected in Rio Tinto Actinobacteria Cyanobacteria . -
Genomics 98 (2011) 370–375
Genomics 98 (2011) 370–375 Contents lists available at ScienceDirect Genomics journal homepage: www.elsevier.com/locate/ygeno Whole-genome comparison clarifies close phylogenetic relationships between the phyla Dictyoglomi and Thermotogae Hiromi Nishida a,⁎, Teruhiko Beppu b, Kenji Ueda b a Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan b Life Science Research Center, College of Bioresource Sciences, Nihon University, Fujisawa, Japan article info abstract Article history: The anaerobic thermophilic bacterial genus Dictyoglomus is characterized by the ability to produce useful Received 2 June 2011 enzymes such as amylase, mannanase, and xylanase. Despite the significance, the phylogenetic position of Accepted 1 August 2011 Dictyoglomus has not yet been clarified, since it exhibits ambiguous phylogenetic positions in a single gene Available online 7 August 2011 sequence comparison-based analysis. The number of substitutions at the diverging point of Dictyoglomus is insufficient to show the relationships in a single gene comparison-based analysis. Hence, we studied its Keywords: evolutionary trait based on whole-genome comparison. Both gene content and orthologous protein sequence Whole-genome comparison Dictyoglomus comparisons indicated that Dictyoglomus is most closely related to the phylum Thermotogae and it forms a Bacterial systematics monophyletic group with Coprothermobacter proteolyticus (a constituent of the phylum Firmicutes) and Coprothermobacter proteolyticus Thermotogae. Our findings indicate that C. proteolyticus does not belong to the phylum Firmicutes and that the Thermotogae phylum Dictyoglomi is not closely related to either the phylum Firmicutes or Synergistetes but to the phylum Thermotogae. © 2011 Elsevier Inc. -
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. -
Online Supplementary Figures of Chapter 3
Online Supplementary Figures of Chapter 3 Fabio Gori Figures 1-30 contain pie charts showing the population characterization re- sulting from the taxonomic assignment computed by the methods. On the simulated datasets the true population distribution is also shown. 1 MTR Bacillales (47.11%) Thermoanaerobacterales (0.76%) Clostridiales (33.58%) Lactobacillales (7.99%) Others (10.55%) LCA Bacillales (48.38%) Thermoanaerobacterales (0.57%) Clostridiales (32.14%) Lactobacillales (10.07%) Others (8.84%) True Distribution 333 386 Prochlorales (5.84%) 535 Bacillales (34.61%) Halanaerobiales (4.37%) Thermoanaerobacterales (10.29%) Clostridiales (28.75%) Lactobacillales (9.38%) 1974 Herpetosiphonales (6.77%) 1640 249 587 Figure 1: Population distributions (rank Order) of M1, coverage 0.1x, by MTR and LCA, and the true population distribution. 2 MTR Bacillus (47.34%) Clostridium (14.61%) Lactobacillus (8.71%) Anaerocellum (11.41%) Alkaliphilus (5.14%) Others (12.79%) LCA Bacillus (51.41%) Clostridium (8.08%) Lactobacillus (9.23%) Anaerocellum (15.79%) Alkaliphilus (5.17%) Others (10.31%) True Distribution 386 552 Herpetosiphon (6.77%) 333 Prochlorococcus (5.84%) 587 Bacillus (34.61%) Clostridium (19.07%) Lactobacillus (9.38%) 249 Halothermothrix (4.37%) Caldicellulosiruptor (10.29%) Alkaliphilus (9.68%) 535 1974 1088 Figure 2: Population distributions (rank Genus) of M1, coverage 0.1x, by MTR and LCA, and the true population distribution. 3 MTR Prochlorales (0.07%) Bacillales (47.97%) Thermoanaerobacterales (0.66%) Clostridiales (32.18%) Lactobacillales (7.76%) Others (11.35%) LCA Prochlorales (0.10%) Bacillales (49.02%) Thermoanaerobacterales (0.59%) Clostridiales (30.62%) Lactobacillales (9.50%) Others (10.16%) True Distribution 3293 3950 Prochlorales (5.65%) 5263 Bacillales (36.68%) Halanaerobiales (3.98%) Thermoanaerobacterales (10.56%) Clostridiales (27.34%) Lactobacillales (9.03%) 21382 Herpetosiphonales (6.78%) 15936 2320 6154 Figure 3: Population distributions (rank Order) of M1, coverage 1x, by MTR and LCA, and the true population distribution. -
CUED Phd and Mphil Thesis Classes
High-throughput Experimental and Computational Studies of Bacterial Evolution Lars Barquist Queens' College University of Cambridge A thesis submitted for the degree of Doctor of Philosophy 23 August 2013 Arrakis teaches the attitude of the knife { chopping off what's incomplete and saying: \Now it's complete because it's ended here." Collected Sayings of Muad'dib Declaration High-throughput Experimental and Computational Studies of Bacterial Evolution The work presented in this dissertation was carried out at the Wellcome Trust Sanger Institute between October 2009 and August 2013. This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. This dissertation does not exceed the limit of 60,000 words as specified by the Faculty of Biology Degree Committee. This dissertation has been typeset in 12pt Computer Modern font using LATEX according to the specifications set by the Board of Graduate Studies and the Faculty of Biology Degree Committee. No part of this dissertation or anything substantially similar has been or is being submitted for any other qualification at any other university. Acknowledgements I have been tremendously fortunate to spend the past four years on the Wellcome Trust Genome Campus at the Sanger Institute and the European Bioinformatics Institute. I would like to thank foremost my main collaborators on the studies described in this thesis: Paul Gardner and Gemma Langridge. Their contributions and support have been invaluable. I would also like to thank my supervisor, Alex Bateman, for giving me the freedom to pursue a wide range of projects during my time in his group and for advice. -
Investigating Prevalence and Geographical Distribution of Mycoplasma Sp. in the Gut of Atlantic Salmon (Salmo Salar L.)
Master’s Thesis 2020 60 ECTS Faculty of Chemistry, Biotechnology and Food Science Investigating prevalence and geographical distribution of Mycoplasma sp. in the gut of Atlantic Salmon (Salmo salar L.) Mari Raudstein MSc Biotechnology ACKNOWLEDGEMENTS This master project was performed at the Faculty of Chemistry, Biotechnology and Food Science, at the Norwegian University of Life Sciences (NMBU), with Professor Knut Rudi as primary supervisor and associate professor Lars-Gustav Snipen as secondary supervisor. To begin with, I want to express my gratitude to my supervisor Knut Rudi for giving me the opportunity to include fish, one of my main interests, in my thesis. Professor Rudi has helped me execute this project to my best ability by giving me new ideas and solutions to problems that would occur, as well as answering any questions I would have. Further, my secondary supervisor associate professor Snipen has helped me in acquiring and interpreting shotgun data for this thesis. A big thank you to both of you. I would also like to thank laboratory engineer Inga Leena Angell for all the guidance in the laboratory, and for her patience when answering questions. Also, thank you to Ida Ormaasen, Morten Nilsen, and the rest of the Microbial Diversity group at NMBU for always being positive, friendly, and helpful – it has been a pleasure working at the MiDiv lab the past year! I am very grateful to the salmon farmers providing me with the material necessary to study salmon gut microbiota. Without the generosity of Lerøy Sjøtroll in Bømlo, Lerøy Aurora in Skjervøy and Mowi in Chile, I would not be able to do this work. -
Annual Conference Abstracts
ANNUAL CONFERENCE 14-17 April 2014 Arena and Convention Centre, Liverpool ABSTRACTS SGM ANNUAL CONFERENCE APRIL 2014 ABSTRACTS (LI00Mo1210) – SGM Prize Medal Lecture (LI00Tu1210) – Marjory Stephenson Climate Change, Oceans, and Infectious Disease Prize Lecture Dr. Rita R. Colwell Understanding the basis of antibiotic resistance University of Maryland, College Park, MD, USA as a platform for early drug discovery During the mid-1980s, satellite sensors were developed to monitor Laura JV Piddock land and oceans for purposes of understanding climate, weather, School of Immunity & Infection and Institute of Microbiology and and vegetation distribution and seasonal variations. Subsequently Infection, University of Birmingham, UK inter-relationships of the environment and infectious diseases Antibiotic resistant bacteria are one of the greatest threats to human were investigated, both qualitatively and quantitatively, with health. Resistance can be mediated by numerous mechanisms documentation of the seasonality of diseases, notably malaria including mutations conferring changes to the genes encoding the and cholera by epidemiologists. The new research revealed a very target proteins as well as RND efflux pumps, which confer innate close interaction of the environment and many other infectious multi-drug resistance (MDR) to bacteria. The production of efflux diseases. With satellite sensors, these relationships were pumps can be increased, usually due to mutations in regulatory quantified and comparatively analyzed. More recent studies of genes, and this confers resistance to antibiotics that are often used epidemic diseases have provided models, both retrospective and to treat infections by Gram negative bacteria. RND MDR efflux prospective, for understanding and predicting disease epidemics, systems not only confer antibiotic resistance, but altered expression notably vector borne diseases. -
Bovine Mycoplasmosis
Bovine mycoplasmosis The microorganisms described within the genus Mycoplasma spp., family Mycoplasmataceae, class Mollicutes, are characterized by the lack of a cell wall and by the little size (0.2-0.5 µm). They are defined as fastidious microorganisms in in vitro cultivation, as they require specific and selective media for the growth, which appears slower if compared to other common bacteria. Mycoplasmas can be detected in several hosts (mammals, avian, reptiles, plants) where they can act as opportunistic agents or as pathogens sensu stricto. Several Mycoplasma species have been described in the bovine sector, which have been detected from different tissues and have been associated to variable kind of gross-pathology lesions. Moreover, likewise in other zoo-technical areas, Mycoplasma spp. infection is related to high morbidity, low mortality and to the chronicization of the disease. Bovine Mycoplasmosis can affect meat and dairy animals of different ages, leading to great economic losses due to the need of prophylactic/metaphylactic measures, therapy and to decreased production. The new holistic approach to multifactorial or chronic diseases of human and veterinary interest has led to a greater attention also to Mycoplasma spp., which despite their elementary characteristics are considered fast-evolving microorganisms. These kind of bacteria, historically considered of secondary importance apart for some species, are assuming nowadays a greater importance in the various zoo-technical fields with increased diagnostic request in veterinary medicine. Also Acholeplasma spp. and Ureaplasma spp. are described as commensal or pathogen in the bovine sector. Because of the phylogenetic similarity and the common metabolic activities, they can grow in the same selective media or can be detected through biomolecular techniques targeting Mycoplasma spp. -
Reportable Disease Surveillance in Virginia, 2013
Reportable Disease Surveillance in Virginia, 2013 Marissa J. Levine, MD, MPH State Health Commissioner Report Production Team: Division of Surveillance and Investigation, Division of Disease Prevention, Division of Environmental Epidemiology, and Division of Immunization Virginia Department of Health Post Office Box 2448 Richmond, Virginia 23218 www.vdh.virginia.gov ACKNOWLEDGEMENT In addition to the employees of the work units listed below, the Office of Epidemiology would like to acknowledge the contributions of all those engaged in disease surveillance and control activities across the state throughout the year. We appreciate the commitment to public health of all epidemiology staff in local and district health departments and the Regional and Central Offices, as well as the conscientious work of nurses, environmental health specialists, infection preventionists, physicians, laboratory staff, and administrators. These persons report or manage disease surveillance data on an ongoing basis and diligently strive to control morbidity in Virginia. This report would not be possible without the efforts of all those who collect and follow up on morbidity reports. Divisions in the Virginia Department of Health Office of Epidemiology Disease Prevention Telephone: 804-864-7964 Environmental Epidemiology Telephone: 804-864-8182 Immunization Telephone: 804-864-8055 Surveillance and Investigation Telephone: 804-864-8141 TABLE OF CONTENTS INTRODUCTION Introduction ......................................................................................................................................1