Phylogenetic Analysis of Secretion Systems in Francisellaceae and Legionellales
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Abstract Betaproteobacteria Alphaproteobacteria
Abstract N-210 Contact Information The majority of the soil’s biosphere containins biodiveristy that remains yet to be discovered. The occurrence of novel bacterial phyla in soil, as well as the phylogenetic diversity within bacterial phyla with few cultured representatives (e.g. Acidobacteria, Anne Spain Dr. Mostafa S.Elshahed Verrucomicrobia, and Gemmatimonadetes) have been previously well documented. However, few studies have focused on the Composition, Diversity, and Novelty within Soil Proteobacteria Department of Botany and Microbiology Department of Microbiology and Molecular Genetics novel phylogenetic diversity within phyla containing numerous cultured representatives. Here, we present a detailed University of Oklahoma Oklahoma State University phylogenetic analysis of the Proteobacteria-affiliated clones identified in a 13,001 nearly full-length 16S rRNA gene clones 770 Van Vleet Oval 307 LSE derived from Oklahoma tall grass prairie soil. Proteobacteria was the most abundant phylum in the community, and comprised Norman, OK 73019 Stillwater, OK 74078 25% of total clones. The most abundant and diverse class within the Proteobacteria was Alphaproteobacteria, which comprised 405 325 5255 405 744 6790 39% of Proteobacteria clones, followed by the Deltaproteobacteria, Betaproteobacteria, and Gammaproteobacteria, which made Anne M. Spain (1), Lee R. Krumholz (1), Mostafa S. Elshahed (2) up 37, 16, and 8% of Proteobacteria clones, respectively. Members of the Epsilonproteobacteria were not detected in the dataset. [email protected] [email protected] Detailed phylogenetic analysis indicated that 14% of the Proteobacteria clones belonged to 15 novel orders and 50% belonged (1) Dept. of Botany and Microbiology, University of Oklahoma, Norman, OK to orders with no described cultivated representatives or were unclassified. -
Tesis Doctoral
Dpto. Inmunología, Microbiología y Parasitología Immunologia, Mikrobiologia eta Parasitologia Saila Tesis Doctoral Efecto del cambio climático en la costa vasca: presencia de bacterias del género Vibrio e influencia de los factores ambientales en su perdurabilidad. Elixabet Ogayar Sandoval Leioa 2021 (c) 2021 Elixabet Ogayar Sandoval Dpto. Inmunología, Microbiología y Parasitología Immunologia, Mikrobiologia eta Parasitologia Saila TESIS DOCTORAL Efecto del cambio climático en la costa vasca: presencia de bacterias del género Vibrio e influencia de los factores ambientales en su perdurabilidad. ELIXABET OGAYAR SANDOVAL Leioa, 2021 UNIVERSIDAD DEL PAIS VASCO EUSKAL HERRIKO UNIBERTSITATEA FACULTAD DE CIENCIA Y TECNOLOGÍA Departamento de Inmunología, Microbiología y Parasitología Efecto del cambio climático en la costa vasca: presencia de bacterias del género Vibrio e influencia de los factores ambientales en su perdurabilidad. ELIXABET OGAYAR SANDOVAL Directoras: INÉS ARANA BASABE MAITE ORRUÑO BELTRÁN La presente Tesis Doctoral ha sido realizada gracias a la financiación recibida de los siguientes proyectos de investigación: Beca de Investigación Predoctoral UPV/EHU. Abril 2016 – Abril 2020. PPP 2017-3686 (UPV/EHU) Título del proyecto: Presencia de bacterias del género Vibrio en la costa vasca e influencia de los factores ambientales en su supervivencia Entidad financiadora: Universidad del País Vasco Duración: 2016 - 2018 Investigador responsable: Maite Orruño Los resultados obtenidos durante esta Tesis Doctoral han sido objeto de las siguientes publicaciones y contribuciones a congresos: Publicaciones: - Orruño M, Parada C, Ogayar E, Kaberdin VR, Arana I (2019). Effects of abiotic and biotic factors on Vibrio harveyi ATCC 14126T survival dynamics in seawater microcosms. Aquatic Microbial Ecology 83:109-118. DOI: 10.3354/ame01910. -
Legionella Shows a Diverse Secondary Metabolism Dependent on a Broad Spectrum Sfp-Type Phosphopantetheinyl Transferase
Legionella shows a diverse secondary metabolism dependent on a broad spectrum Sfp-type phosphopantetheinyl transferase Nicholas J. Tobias1, Tilman Ahrendt1, Ursula Schell2, Melissa Miltenberger1, Hubert Hilbi2,3 and Helge B. Bode1,4 1 Fachbereich Biowissenschaften, Merck Stiftungsprofessur fu¨r Molekulare Biotechnologie, Goethe Universita¨t, Frankfurt am Main, Germany 2 Max von Pettenkofer Institute, Ludwig-Maximilians-Universita¨tMu¨nchen, Munich, Germany 3 Institute of Medical Microbiology, University of Zu¨rich, Zu¨rich, Switzerland 4 Buchmann Institute for Molecular Life Sciences, Goethe Universita¨t, Frankfurt am Main, Germany ABSTRACT Several members of the genus Legionella cause Legionnaires’ disease, a potentially debilitating form of pneumonia. Studies frequently focus on the abundant number of virulence factors present in this genus. However, what is often overlooked is the role of secondary metabolites from Legionella. Following whole genome sequencing, we assembled and annotated the Legionella parisiensis DSM 19216 genome. Together with 14 other members of the Legionella, we performed comparative genomics and analysed the secondary metabolite potential of each strain. We found that Legionella contains a huge variety of biosynthetic gene clusters (BGCs) that are potentially making a significant number of novel natural products with undefined function. Surprisingly, only a single Sfp-like phosphopantetheinyl transferase is found in all Legionella strains analyzed that might be responsible for the activation of all carrier proteins in primary (fatty acid biosynthesis) and secondary metabolism (polyketide and non-ribosomal peptide synthesis). Using conserved active site motifs, we predict Submitted 29 June 2016 some novel compounds that are probably involved in cell-cell communication, Accepted 25 October 2016 Published 24 November 2016 differing to known communication systems. -
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 -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 2 Microalgae
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 2021. 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. 1 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley, -
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. -
Taxonomy JN869023
Species that differentiate periods of high vs. low species richness in unattached communities Species Taxonomy JN869023 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales; ACK-M1 JN674641 Bacteria; Bacteroidetes; [Saprospirae]; [Saprospirales]; Chitinophagaceae; Sediminibacterium JN869030 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales; ACK-M1 U51104 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae; Limnohabitans JN868812 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae JN391888 Bacteria; Planctomycetes; Planctomycetia; Planctomycetales; Planctomycetaceae; Planctomyces HM856408 Bacteria; Planctomycetes; Phycisphaerae; Phycisphaerales GQ347385 Bacteria; Verrucomicrobia; [Methylacidiphilae]; Methylacidiphilales; LD19 GU305856 Bacteria; Proteobacteria; Alphaproteobacteria; Rickettsiales; Pelagibacteraceae GQ340302 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales JN869125 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae New.ReferenceOTU470 Bacteria; Cyanobacteria; ML635J-21 JN679119 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae HM141858 Bacteria; Acidobacteria; Holophagae; Holophagales; Holophagaceae; Geothrix FQ659340 Bacteria; Verrucomicrobia; [Pedosphaerae]; [Pedosphaerales]; auto67_4W AY133074 Bacteria; Elusimicrobia; Elusimicrobia; Elusimicrobiales FJ800541 Bacteria; Verrucomicrobia; [Pedosphaerae]; [Pedosphaerales]; R4-41B JQ346769 Bacteria; Acidobacteria; [Chloracidobacteria]; RB41; Ellin6075 -
Within-Arctic Horizontal Gene Transfer As a Driver of Convergent Evolution in Distantly Related 1 Microalgae 2 Richard G. Do
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.31.454568; this version posted August 2, 2021. 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. 1 Within-Arctic horizontal gene transfer as a driver of convergent evolution in distantly related 2 microalgae 3 Richard G. Dorrell*+1,2, Alan Kuo3*, Zoltan Füssy4, Elisabeth Richardson5,6, Asaf Salamov3, Nikola 4 Zarevski,1,2,7 Nastasia J. Freyria8, Federico M. Ibarbalz1,2,9, Jerry Jenkins3,10, Juan Jose Pierella 5 Karlusich1,2, Andrei Stecca Steindorff3, Robyn E. Edgar8, Lori Handley10, Kathleen Lail3, Anna Lipzen3, 6 Vincent Lombard11, John McFarlane5, Charlotte Nef1,2, Anna M.G. Novák Vanclová1,2, Yi Peng3, Chris 7 Plott10, Marianne Potvin8, Fabio Rocha Jimenez Vieira1,2, Kerrie Barry3, Joel B. Dacks5, Colomban de 8 Vargas2,12, Bernard Henrissat11,13, Eric Pelletier2,14, Jeremy Schmutz3,10, Patrick Wincker2,14, Chris 9 Bowler1,2, Igor V. Grigoriev3,15, and Connie Lovejoy+8 10 11 1 Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, 12 INSERM, Université PSL, 75005 Paris, France 13 2CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, 14 FR2022/Tara Oceans GOSEE, 3 rue Michel-Ange, 75016 Paris, France 15 3 US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 16 Cyclotron Road, Berkeley, -
Parst Is a Widespread Toxin–Antitoxin Module That Targets Nucleotide Metabolism
ParST is a widespread toxin–antitoxin module that targets nucleotide metabolism Frank J. Piscottaa, Philip D. Jeffreyb, and A. James Linka,b,c,1 aDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544; bDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544; and cDepartment of Chemistry, Princeton University, Princeton, NJ 08544 Edited by Marlene Belfort, University at Albany, Albany, NY, and approved December 4, 2018 (received for review August 27, 2018) Toxin–antitoxin (TA) systems interfere with essential cellular pro- I toxins are typified by an RNA-level TA interaction, where an cesses and are implicated in bacterial lifestyle adaptations such as antisense RNA binds toxin mRNA to inhibit its translation. Type persistence and the biofilm formation. Here, we present structural, II TA systems function via protein–protein interactions, where biochemical, and functional data on an uncharacterized TA system, binding of the antitoxin to the toxin inhibits its activity (10). Of the COG5654–COG5642 pair. Bioinformatic analysis showed that the two earliest known TA systems mentioned above, hok/sok is this TA pair is found in 2,942 of the 16,286 distinct bacterial species an example of a type I system, while ccdAB is type II (11, 12). in the RefSeq database. We solved a structure of the toxin bound Upon translation, type I toxins are small, hydrophobic peptides to a fragment of the antitoxin to 1.50 Å. This structure suggested that lead to cell lysis through disruption of the plasma mem- that the toxin is a mono-ADP-ribosyltransferase (mART). The toxin brane. Type II toxins, however, function through a variety of specifically modifies phosphoribosyl pyrophosphate synthetase mechanisms. -
The Risk to Human Health from Free-Living Amoebae Interaction with Legionella in Drinking and Recycled Water Systems
THE RISK TO HUMAN HEALTH FROM FREE-LIVING AMOEBAE INTERACTION WITH LEGIONELLA IN DRINKING AND RECYCLED WATER SYSTEMS Dissertation submitted by JACQUELINE MARIE THOMAS BACHELOR OF SCIENCE (HONOURS) AND BACHELOR OF ARTS, UNSW In partial fulfillment of the requirements for the award of DOCTOR OF PHILOSOPHY in ENVIRONMENTAL ENGINEERING SCHOOL OF CIVIL AND ENVIRONMENTAL ENGINEERING FACULTY OF ENGINEERING MAY 2012 SUPERVISORS Professor Nicholas Ashbolt Office of Research and Development United States Environmental Protection Agency Cincinnati, Ohio USA and School of Civil and Environmental Engineering Faculty of Engineering The University of New South Wales Sydney, Australia Professor Richard Stuetz School of Civil and Environmental Engineering Faculty of Engineering The University of New South Wales Sydney, Australia Doctor Torsten Thomas School of Biotechnology and Biomolecular Sciences Faculty of Science The University of New South Wales Sydney, Australia ORIGINALITY STATEMENT '1 hereby declare that this submission is my own work and to the best of my knowledge it contains no materials previously published or written by another person, or substantial proportions of material which have been accepted for the award of any other degree or diploma at UNSW or any other educational institution, except where due acknowledgement is made in the thesis. Any contribution made to the research by others, with whom 1 have worked at UNSW or elsewhere, is explicitly acknowledged in the thesis. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assistance from others in the project's design and conception or in style, presentation and linguistic expression is acknowledged.' Signed ~ ............................ -
Host-Adaptation in Legionellales Is 2.4 Ga, Coincident with Eukaryogenesis
bioRxiv preprint doi: https://doi.org/10.1101/852004; this version posted February 27, 2020. 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 4.0 International license. 1 Host-adaptation in Legionellales is 2.4 Ga, 2 coincident with eukaryogenesis 3 4 5 Eric Hugoson1,2, Tea Ammunét1 †, and Lionel Guy1* 6 7 1 Department of Medical Biochemistry and Microbiology, Science for Life Laboratories, 8 Uppsala University, Box 582, 75123 Uppsala, Sweden 9 2 Department of Microbial Population Biology, Max Planck Institute for Evolutionary 10 Biology, D-24306 Plön, Germany 11 † current address: Medical Bioinformatics Centre, Turku Bioscience, University of Turku, 12 Tykistökatu 6A, 20520 Turku, Finland 13 * corresponding author 14 1 bioRxiv preprint doi: https://doi.org/10.1101/852004; this version posted February 27, 2020. 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 4.0 International license. 15 Abstract 16 Bacteria adapting to living in a host cell caused the most salient events in the evolution of 17 eukaryotes, namely the seminal fusion with an archaeon 1, and the emergence of both the 18 mitochondrion and the chloroplast 2. A bacterial clade that may hold the key to understanding 19 these events is the deep-branching gammaproteobacterial order Legionellales – containing 20 among others Coxiella and Legionella – of which all known members grow inside eukaryotic 21 cells 3.