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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. -
Evolution Toward Maximum Transport Capacity of the Ttg2 ABC System In
bioRxiv preprint doi: https://doi.org/10.1101/834812; this version posted November 8, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Evolution toward maximum transport capacity of the Ttg2 ABC system in 2 Pseudomonas aeruginosa 3 4 Daniel Yero,1,2 Lionel Costenaro,1# Oscar Conchillo-Solé,1 Mireia Díaz-Lobo,3 Adrià 5 Mayo,1 Mario Ferrer-Navarro,1# Marta Vilaseca,3 Isidre Gibert,1,2* Xavier Daura1,4* 6 7 1Institut de Biotecnologia i de Biomedicina (IBB), Universitat Autònoma de Barcelona 8 (UAB), Barcelona, Spain; 9 2Departament de Genètica i de Microbiologia, UAB, Barcelona, Spain; 10 3Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of 11 Science and Technology, Barcelona, Spain; 12 4Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain. 13 14 *Corresponding Authors: Xavier Daura, Tel: (+34)935868940 Email: 15 [email protected]. Isidre Gibert, Tel: (+34)935862050 Email: 16 [email protected]. 17 18 #Present address: Lionel Costenaro, Institut de Biologia Molecular de Barcelona 19 (CSIC), Barcelona, Spain. Mario Ferrer-Navarro, Teknokroma Analítica SA, 20 Barcelona, Spain. 21 1 bioRxiv preprint doi: https://doi.org/10.1101/834812; this version posted November 8, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 22 Abstract 23 In Pseudomonas aeruginosa, Ttg2D is the soluble periplasmic phospholipid-binding 24 component of an ABC transport system thought to be involved in maintaining the 25 asymmetry of the outer membrane. -
The Burkholderia Genus: Between Mutualism and Pathogenicity
The Burkholderia genus: between mutualism and pathogenicity El género Burkholderia: entre el mutualismo y la patogenicidad David Espinosa-Victoria*, Laboratorio Interacción Molecular Planta-Microorganismo, 1Programa de Edafo- logía Colegio de Postgraduados, Carretera México-Texcoco Km 36.5, Montecillo Estado de México, México, 56230; Lucía López-Reyes, Moisés Graciano Carcaño-Montiel, Laboratorio Microbiología de Suelos, Bene- mérita Universidad Autónoma de Puebla, Avenida San Claudio s/n, Ciudad Universitaria, La Hacienda, Puebla, Puebla, 72592; 1María Serret-López. *Autor para correspondencia: [email protected] Recibido: 28 de Abril, 2020. Aceptado: 04 de Junio, 2020. Espinosa-Victoria D, López-Reyes L, Carcaño-Montiel Abstract. Burkholderia is an ambivalent genus MG and Serret-López M. 2020. The Burkholderia ge- because some of its species establish symbiotic- nus: between mutualism and pathogenicity. Mexican Jo- mutualistic relationships with plants, and urnal of Phytopathology 38(3): 337-359. symbiotic-pathogenic relationships with plants, DOI: 10.18781/R.MEX.FIT.2004-5 animals, and humans. Since the phytopathogenic bacterium B. cepacia was reported as a nosocomial Primera publicación DOI: 17 de Junio, 2020. opportunist, associated with cystic fibrosis, the First DOI publication: June 17, 2020. concern about possible infections in humans arose. The objective of this contribution was to make an analysis of Burkholderia’s functional versatility Resumen. Burkholderia es un género ambivalen- and its effect on human health. Burkholderia te debido a que algunas de sus especies establecen harbored about 100 species and the B. cepacia relaciones simbiótico-mutualistas con las plantas, y complex (BCC) consisting of 22 species. At the simbiótico-patogénicas con plantas, animales y hu- beginning, the existence of two lineages within manos. -
University of Cincinnati
UNIVERSITY OF CINCINNATI Date: February 22, 2007 I, _ Samuel Lee Hayes________________________________________, hereby submit this work as part of the requirements for the degree of: Doctor of Philosophy in: Biological Sciences It is entitled: Response of Mammalian Models to Exposure of Bacteria from the Genus Aeromonas Evaluated using Transcriptional Analysis and Conjectures on Disease Mechanisms This work and its defense approved by: Chair: _Brian K. Kinkle _Dennis W. Grogan _Richard D. Karp _Mario Medvedovic _Stephen J. Vesper Response of Mammalian Models to Exposure of Bacteria from the Genus Aeromonas Evaluated using Transcriptional Analysis and Conjectures on Disease Mechanisms A dissertation submitted to the Division of Graduate Studies and Research of the University of Cincinnati in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in the Department of Biological Sciences of the College of Arts and Sciences 2007 by Samuel Lee Hayes B.S. Ohio University, 1978 M.S. University of Cincinnati, 1986 Committee Chair: Dr. Brian K. Kinkle Abstract The genus Aeromonas contains virulent bacteria implicated in waterborne disease, as well as avirulent strains. One of my research objectives was to identify and characterize host- pathogen relationships specific to Aeromonas spp. Aeromonas virulence was assessed using changes in host mRNA expression after infecting cell cultures and live animals. Messenger RNA extracts were hybridized to murine genomic microarrays. Initially, these model systems were infected with two virulent A. hydrophila strains, causing up-regulation of over 200 and 50 genes in animal and cell culture tissues, respectively. Twenty-six genes were common between the two model systems. The live animal model was used to define virulence for many Aeromonas spp. -
1 Supplementary Information Ugly Ducklings – the Dark Side of Plastic
Supplementary Information Ugly ducklings – The dark side of plastic materials in contact with potable water Lisa Neu1,2, Carola Bänziger1, Caitlin R. Proctor1,2, Ya Zhang3, Wen-Tso Liu3, Frederik Hammes1,* 1 Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland 2 Department of Environmental Systems Science, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland 3 Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, USA Table of contents Table S1 Exemplary online blog entries on biofouling in bath toys Figure S1 Images of all examined bath toys Figure S2 Additional images of bath toy biofilms by OCT Figure S3 Additional images on biofilm composition by SEM Figure S4 Number of bacteria and proportion of intact cells in bath toy biofilms Table S2 Classification of shared OTUs between bath toys Table S3 Shared and ‘core’ communities in bath toys from single households Table S4 Richness and diversity Figure S5 Classification of abundant OTUs in real bath toy biofilms Table S5 Comparison of most abundant OTUs in control bath toy biofilms Figure S6 Fungal community composition in bath toy biofilms Table S6 Conventional plating results for indicator bacteria and groups Table S7 Bioavailability of migrating carbon from control bath toys’ material Water chemistry Method and results (Table S8) Table S9 Settings for Amplification PCR and Index PCR reactions 1 Table S1: Exemplary online blog entries on biofouling inside bath toys Issue - What is the slime? Link Rub-a-dub-dub, https://www.babble.com/baby/whats-in-the-tub/ what’s in the tub? What’s the black stuff http://blogs.babycenter.com/momstories/whats-the-black- in your squeeze toys? stuff-in-your-squeeze-toys/ Friday Find: NBC’s http://www.bebravekeepgoing.com/2010/03/friday-find-nbcs- Today Show segment: today-show-segment-do.html Do bath toys carry germs? Yuck. -
Delineation of Aeromonas Hydrophila Pathotypes by Dectection of Putative Virulence Factors Using Polymerase Chain Reaction and N
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DigitalCommons@Kennesaw State University Kennesaw State University DigitalCommons@Kennesaw State University Master of Science in Integrative Biology Theses Biology & Physics Summer 7-20-2015 Delineation of Aeromonas hydrophila Pathotypes by Dectection of Putative Virulence Factors using Polymerase Chain Reaction and Nematode Challenge Assay John Metz Kennesaw State University, [email protected] Follow this and additional works at: http://digitalcommons.kennesaw.edu/integrbiol_etd Part of the Integrative Biology Commons Recommended Citation Metz, John, "Delineation of Aeromonas hydrophila Pathotypes by Dectection of Putative Virulence Factors using Polymerase Chain Reaction and Nematode Challenge Assay" (2015). Master of Science in Integrative Biology Theses. Paper 7. This Thesis is brought to you for free and open access by the Biology & Physics at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Master of Science in Integrative Biology Theses by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact [email protected]. Delineation of Aeromonas hydrophila Pathotypes by Detection of Putative Virulence Factors using Polymerase Chain Reaction and Nematode Challenge Assay John Michael Metz Submitted in partial fulfillment of the requirements for the Master of Science Degree in Integrative Biology Thesis Advisor: Donald J. McGarey, Ph.D Department of Molecular and Cellular Biology Kennesaw State University ABSTRACT Aeromonas hydrophila is a Gram-negative, bacterial pathogen of humans and other vertebrates. Human diseases caused by A. hydrophila range from mild gastroenteritis to soft tissue infections including cellulitis and acute necrotizing fasciitis. When seen in fish it causes dermal ulcers and fatal septicemia, which are detrimental to aquaculture stocks and has major economic impact to the industry. -
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 -
Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae -
Resilience of Microbial Communities After Hydrogen Peroxide Treatment of a Eutrophic Lake to Suppress Harmful Cyanobacterial Blooms
microorganisms Article Resilience of Microbial Communities after Hydrogen Peroxide Treatment of a Eutrophic Lake to Suppress Harmful Cyanobacterial Blooms Tim Piel 1,†, Giovanni Sandrini 1,†,‡, Gerard Muyzer 1 , Corina P. D. Brussaard 1,2 , Pieter C. Slot 1, Maria J. van Herk 1, Jef Huisman 1 and Petra M. Visser 1,* 1 Department of Freshwater and Marine Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE Amsterdam, The Netherlands; [email protected] (T.P.); [email protected] (G.S.); [email protected] (G.M.); [email protected] (C.P.D.B.); [email protected] (P.C.S.); [email protected] (M.J.v.H.); [email protected] (J.H.) 2 Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherland Institute for Sea Research, 1790 AB Den Burg, The Netherlands * Correspondence: [email protected]; Tel.: +31-20-5257073 † These authors have contributed equally to this work. ‡ Current address: Department of Technology & Sources, Evides Water Company, 3006 AL Rotterdam, The Netherlands. Abstract: Applying low concentrations of hydrogen peroxide (H2O2) to lakes is an emerging method to mitigate harmful cyanobacterial blooms. While cyanobacteria are very sensitive to H2O2, little Citation: Piel, T.; Sandrini, G.; is known about the impacts of these H2O2 treatments on other members of the microbial com- Muyzer, G.; Brussaard, C.P.D.; Slot, munity. In this study, we investigated changes in microbial community composition during two P.C.; van Herk, M.J.; Huisman, J.; −1 lake treatments with low H2O2 concentrations (target: 2.5 mg L ) and in two series of controlled Visser, P.M. -
Ice-Nucleating Particles Impact the Severity of Precipitations in West Texas
Ice-nucleating particles impact the severity of precipitations in West Texas Hemanth S. K. Vepuri1,*, Cheyanne A. Rodriguez1, Dimitri G. Georgakopoulos4, Dustin Hume2, James Webb2, Greg D. Mayer3, and Naruki Hiranuma1,* 5 1Department of Life, Earth and Environmental Sciences, West Texas A&M University, Canyon, TX, USA 2Office of Information Technology, West Texas A&M University, Canyon, TX, USA 3Department of Environmental Toxicology, Texas Tech University, Lubbock, TX, USA 4Department of Crop Science, Agricultural University of Athens, Athens, Greece 10 *Corresponding authors: [email protected] and [email protected] Supplemental Information 15 S1. Precipitation and Particulate Matter Properties S1.1 Precipitation Categorization In this study, we have segregated our precipitation samples into four different categories, such as (1) snows, (2) hails/thunderstorms, (3) long-lasted rains, and (4) weak rains. For this categorization, we have considered both our observation-based as well as the disdrometer-assigned National Weather Service (NWS) 20 code. Initially, the precipitation samples had been assigned one of the four categories based on our manual observation. In the next step, we have used each NWS code and its occurrence in each precipitation sample to finalize the precipitation category. During this step, a precipitation sample was categorized into snow, only when we identified a snow type NWS code (Snow: S-, S, S+ and/or Snow Grains: SG). Likewise, a precipitation sample was categorized into hail/thunderstorm, only when the cumulative sum of NWS codes for hail was 25 counted more than five times (i.e., A + SP ≥ 5; where A and SP are the codes for soft hail and hail, respectively). -
Brevundimonas Diminuta Bacteremia
S Pediatric Research and Child Health O p s e s n Acce CASE REPORT Brevundimonas Diminuta Bacteremia: A rare case report in a Male Middle Aged Childhood Sandeep Mude1*, Ramakanth1, Uday S Patil2, Sanjay Kulkarni3 1Residents, Masai childrens Hospital, Kolhapur, Maharastra, India 2MD, D.C.H (Professor and Dean) Department of Pediatrics, Masai Childrens Hospital, Kolhapur, India. 3MD, Department of Microbiology, Ambika Pathology Lab, NABL accredited (NBR-MC3332), Kolhapur, India. Abstract Brevundimonas diminuta has rarely been isolated from clinical specimens. We report here a case of B. diminuta bacteremia in a male middle aged childhood who presented with fever, jaundice and abdomen distention. USG abdomen showed moderate hepatomegaly, partially distended gall bladder, mild splenomegaly very minimal ascites with bilateral mild basal pleural effusion. Blood culture was processed by BACT/ALERT 3D 60 (BioMériux). Isolate was identified as B. diminuta. Identification and sensitivity was done by VITEK® 2 COMPACT (BioMériux). We have come across only one report of middle aged childhood sepsis caused by B. diminuta from India [1]. To the best of our knowledge, this is the first case report of B. vesicularis bacteremia in a male middle aged childhood. Keywords: Bacteremia, B. diminuta, immunocompetent middle aged childhood Introduction fever of 15 days. Jaundice and abdomen distension for 9 days. History of clay coloured stools for 2-3 days, decreased Brevundimonas diminuta, formerly grouped with oral intake since 4 day and altered sensorium since 2 days. Pseudomonas, and has been reclassified as under the genus of There is no history of seizures. On examination, the child was Proteobacteria, is an aerobic nonsporing and nonfermenting, drowsy and irritable, afebrile, with pulse rate of 113/min and slowly growing gram‑negative bacillus. -
An Update on the Genus Aeromonas: Taxonomy, Epidemiology, and Pathogenicity
microorganisms Review An Update on the Genus Aeromonas: Taxonomy, Epidemiology, and Pathogenicity Ana Fernández-Bravo and Maria José Figueras * Unit of Microbiology, Department of Basic Health Sciences, Faculty of Medicine and Health Sciences, IISPV, University Rovira i Virgili, 43201 Reus, Spain; [email protected] * Correspondence: mariajose.fi[email protected]; Tel.: +34-97-775-9321; Fax: +34-97-775-9322 Received: 31 October 2019; Accepted: 14 January 2020; Published: 17 January 2020 Abstract: The genus Aeromonas belongs to the Aeromonadaceae family and comprises a group of Gram-negative bacteria widely distributed in aquatic environments, with some species able to cause disease in humans, fish, and other aquatic animals. However, bacteria of this genus are isolated from many other habitats, environments, and food products. The taxonomy of this genus is complex when phenotypic identification methods are used because such methods might not correctly identify all the species. On the other hand, molecular methods have proven very reliable, such as using the sequences of concatenated housekeeping genes like gyrB and rpoD or comparing the genomes with the type strains using a genomic index, such as the average nucleotide identity (ANI) or in silico DNA–DNA hybridization (isDDH). So far, 36 species have been described in the genus Aeromonas of which at least 19 are considered emerging pathogens to humans, causing a broad spectrum of infections. Having said that, when classifying 1852 strains that have been reported in various recent clinical cases, 95.4% were identified as only four species: Aeromonas caviae (37.26%), Aeromonas dhakensis (23.49%), Aeromonas veronii (21.54%), and Aeromonas hydrophila (13.07%).