Allying with Armored Snails: the Complete Genome of Gammaproteobacterial Endosymbiont
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Inactivation of CRISPR-Cas Systems by Anti-CRISPR Proteins in Diverse Bacterial Species April Pawluk1, Raymond H.J
LETTERS PUBLISHED: 13 JUNE 2016 | ARTICLE NUMBER: 16085 | DOI: 10.1038/NMICROBIOL.2016.85 Inactivation of CRISPR-Cas systems by anti-CRISPR proteins in diverse bacterial species April Pawluk1, Raymond H.J. Staals2, Corinda Taylor2, Bridget N.J. Watson2, Senjuti Saha3, Peter C. Fineran2, Karen L. Maxwell4* and Alan R. Davidson1,3* CRISPR-Cas systems provide sequence-specific adaptive immu- MGE-encoded mechanisms that inhibit CRISPR-Cas systems. In nity against foreign nucleic acids1,2. They are present in approxi- support of this hypothesis, phages infecting Pseudomonas aeruginosa mately half of all sequenced prokaryotes3 and are expected to were found to encode diverse families of proteins that inhibit constitute a major barrier to horizontal gene transfer. We pre- the CRISPR-Cas systems of their host through several distinct viously described nine distinct families of proteins encoded in mechanisms4,5,17,18. However, homologues of these anti-CRISPR Pseudomonas phage genomes that inhibit CRISPR-Cas function4,5. proteins were found only within the Pseudomonas genus. Here, We have developed a bioinformatic approach that enabled us to we describe a bioinformatic approach that allowed us to identify discover additional anti-CRISPR proteins encoded in phages five novel families of functional anti-CRISPR proteins encoded in and other mobile genetic elements of diverse bacterial phages and other putative MGEs in species spanning the diversity species. We show that five previously undiscovered families of Proteobacteria. of anti-CRISPRs inhibit the type I-F CRISPR-Cas systems of The nine previously characterized anti-CRISPR protein families both Pseudomonas aeruginosa and Pectobacterium atrosepticum, possess no common sequence motifs, so we used genomic context to and a dual specificity anti-CRISPR inactivates both type I-F search for novel anti-CRISPR genes. -
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. -
Detection of a Bacterial Group Within the Phylum Chloroflexi And
Microbes Environ. Vol. 21, No. 3, 154–162, 2006 http://wwwsoc.nii.ac.jp/jsme2/ Detection of a Bacterial Group within the Phylum Chloroflexi and Reductive-Dehalogenase-Homologous Genes in Pentachlorobenzene- Dechlorinating Estuarine Sediment from the Arakawa River, Japan KYOSUKE SANTOH1, ATSUSHI KOUZUMA1, RYOKO ISHIZEKI2, KENICHI IWATA1, MINORU SHIMURA3, TOSHIO HAYAKAWA3, TOSHIHIRO HOAKI4, HIDEAKI NOJIRI1, TOSHIO OMORI2, HISAKAZU YAMANE1 and HIROSHI HABE1*† 1 Biotechnology Research Center, The University of Tokyo, 1–1–1 Yayoi, Bunkyo-ku, Tokyo 113–8657, Japan 2 Department of Industrial Chemistry, Faculty of Engineering, Shibaura Institute of Technology, Minato-ku, Tokyo 108–8548, Japan 3 Environmental Biotechnology Laboratory, Railway Technical Research Institute, 2–8–38 Hikari-cho, Kokubunji-shi, Tokyo 185–8540, Japan 4 Technology Research Center, Taisei Corporation, 344–1 Nase, Totsuka-ku, Yokohama 245–0051, Japan (Received April 21, 2006—Accepted June 12, 2006) We enriched a pentachlorobenzene (pentaCB)-dechlorinating microbial consortium from an estuarine-sedi- ment sample obtained from the mouth of the Arakawa River. The sediment was incubated together with a mix- ture of four electron donors and pentaCB, and after five months of incubation, the microbial community structure was analyzed. Both DGGE and clone library analyses showed that the most expansive phylogenetic group within the consortium was affiliated with the phylum Chloroflexi, which includes Dehalococcoides-like bacteria. PCR using a degenerate primer set targeting conserved regions in reductive-dehalogenase-homologous (rdh) genes from Dehalococcoides species revealed that DNA fragments (approximately 1.5–1.7 kb) of rdh genes were am- plified from genomic DNA of the consortium. The deduced amino acid sequences of the rdh genes shared sever- al characteristics of reductive dehalogenases. -
(Batch Learning Self-Organizing Maps), to the Microbiome Analysis of Ticks
Title A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks Nakao, Ryo; Abe, Takashi; Nijhof, Ard M; Yamamoto, Seigo; Jongejan, Frans; Ikemura, Toshimichi; Sugimoto, Author(s) Chihiro The ISME Journal, 7(5), 1003-1015 Citation https://doi.org/10.1038/ismej.2012.171 Issue Date 2013-03 Doc URL http://hdl.handle.net/2115/53167 Type article (author version) File Information ISME_Nakao.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks Ryo Nakao1,a, Takashi Abe2,3,a, Ard M. Nijhof4, Seigo Yamamoto5, Frans Jongejan6,7, Toshimichi Ikemura2, Chihiro Sugimoto1 1Division of Collaboration and Education, Research Center for Zoonosis Control, Hokkaido University, Kita-20, Nishi-10, Kita-ku, Sapporo, Hokkaido 001-0020, Japan 2Nagahama Institute of Bio-Science and Technology, Nagahama, Shiga 526-0829, Japan 3Graduate School of Science & Technology, Niigata University, 8050, Igarashi 2-no-cho, Nishi- ku, Niigata 950-2181, Japan 4Institute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Königsweg 67, 14163 Berlin, Germany 5Miyazaki Prefectural Institute for Public Health and Environment, 2-3-2 Gakuen Kibanadai Nishi, Miyazaki 889-2155, Japan 6Utrecht Centre for Tick-borne Diseases (UCTD), Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CL Utrecht, The Netherlands 7Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, 0110 Onderstepoort, South Africa aThese authors contributed equally to this work. Keywords: BLSOMs/emerging diseases/metagenomics/microbiomes/symbionts/ticks Running title: Tick microbiomes revealed by BLSOMs Subject category: Microbe-microbe and microbe-host interactions Abstract Ticks transmit a variety of viral, bacterial and protozoal pathogens, which are often zoonotic. -
Potential of Bacterial Cellulose Chemisorbed with Anti-Metabolites, 3-Bromopyruvate Or Sertraline, to Fight Against Helicobacter Pylori Lawn Biofilm
International Journal of Molecular Sciences Article Potential of Bacterial Cellulose Chemisorbed with Anti-Metabolites, 3-Bromopyruvate or Sertraline, to Fight against Helicobacter pylori Lawn Biofilm Paweł Krzy˙zek 1,* , Gra˙zynaGo´sciniak 1 , Karol Fijałkowski 2 , Paweł Migdał 3 , Mariusz Dziadas 4 , Artur Owczarek 5 , Joanna Czajkowska 6, Olga Aniołek 7 and Adam Junka 8 1 Department of Microbiology, Faculty of Medicine, Wroclaw Medical University, 50-368 Wroclaw, Poland; [email protected] 2 Department of Immunology, Microbiology and Physiological Chemistry, Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology in Szczecin, 70-311 Szczecin, Poland; karol.fi[email protected] 3 Department of Environment, Hygiene and Animal Welfare, Wroclaw University of Environmental and Life Sciences, 51-630 Wroclaw, Poland; [email protected] 4 Faculty of Chemistry, University of Wroclaw, 50-353 Wroclaw, Poland; [email protected] 5 Department of Drug Form Technology, Wroclaw Medical University, 50-556 Wroclaw, Poland; [email protected] 6 Laboratory of Microbiology, Polish Center for Technology Development PORT, 54-066 Wroclaw, Poland; [email protected] 7 Faculty of Medicine, Lazarski University, 02-662 Warsaw, Poland; [email protected] 8 Department of Pharmaceutical Microbiology and Parasitology, Wroclaw Medical University, 50-556 Wroclaw, Poland; [email protected] * Correspondence: [email protected] Received: 23 November 2020; Accepted: 11 December 2020; Published: 14 December 2020 Abstract: Helicobacter pylori is a bacterium known mainly of its ability to cause persistent inflammations of the human stomach, resulting in peptic ulcer diseases and gastric cancers. Continuous exposure of this bacterium to antibiotics has resulted in high detection of multidrug-resistant strains and difficulties in obtaining a therapeutic effect. -
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 -
Yu-Chen Ling and John W. Moreau
Microbial Distribution and Activity in a Coastal Acid Sulfate Soil System Introduction: Bioremediation in Yu-Chen Ling and John W. Moreau coastal acid sulfate soil systems Method A Coastal acid sulfate soil (CASS) systems were School of Earth Sciences, University of Melbourne, Melbourne, VIC 3010, Australia formed when people drained the coastal area Microbial distribution controlled by environmental parameters Microbial activity showed two patterns exposing the soil to the air. Drainage makes iron Microbial structures can be grouped into three zones based on the highest similarity between samples (Fig. 4). Abundant populations, such as Deltaproteobacteria, kept constant activity across tidal cycling, whereas rare sulfides oxidize and release acidity to the These three zones were consistent with their geological background (Fig. 5). Zone 1: Organic horizon, had the populations changed activity response to environmental variations. Activity = cDNA/DNA environment, low pH pore water further dissolved lowest pH value. Zone 2: surface tidal zone, was influenced the most by tidal activity. Zone 3: Sulfuric zone, Abundant populations: the heavy metals. The acidity and toxic metals then Method A Deltaproteobacteria Deltaproteobacteria this area got neutralized the most. contaminate coastal and nearby ecosystems and Method B 1.5 cause environmental problems, such as fish kills, 1.5 decreased rice yields, release of greenhouse gases, Chloroflexi and construction damage. In Australia, there is Gammaproteobacteria Gammaproteobacteria about a $10 billion “legacy” from acid sulfate soils, Chloroflexi even though Australia is only occupied by around 1.0 1.0 Cyanobacteria,@ Acidobacteria Acidobacteria Alphaproteobacteria 18% of the global acid sulfate soils. Chloroplast Zetaproteobacteria Rare populations: Alphaproteobacteria Method A log(RNA(%)+1) Zetaproteobacteria log(RNA(%)+1) Method C Method B 0.5 0.5 Cyanobacteria,@ Bacteroidetes Chloroplast Firmicutes Firmicutes Bacteroidetes Planctomycetes Planctomycetes Ac8nobacteria Fig. -
1471-2164-13-670.Pdf
Hobley et al. BMC Genomics 2012, 13:670 http://www.biomedcentral.com/1471-2164/13/670 RESEARCH ARTICLE Open Access Genome analysis of a simultaneously predatory and prey-independent, novel Bdellovibrio bacteriovorus from the River Tiber, supports in silico predictions of both ancient and recent lateral gene transfer from diverse bacteria Laura Hobley1,3, Thomas R Lerner1,4, Laura E Williams2, Carey Lambert1, Rob Till1, David S Milner1, Sarah M Basford1, Michael J Capeness1, Andrew K Fenton1,5, Robert J Atterbury1,6, Maximilian ATS Harris1 and R Elizabeth Sockett1* Abstract Background: Evolution equipped Bdellovibrio bacteriovorus predatory bacteria to invade other bacteria, digesting and replicating, sealed within them thus preventing nutrient-sharing with organisms in the surrounding environment. Bdellovibrio were previously described as “obligate predators” because only by mutations, often in gene bd0108, are 1 in ~1x107 of predatory lab strains of Bdellovibrio converted to prey-independent growth. A previous genomic analysis of B. bacteriovorus strain HD100 suggested that predatory consumption of prey DNA by lytic enzymes made Bdellovibrio less likely than other bacteria to acquire DNA by lateral gene transfer (LGT). However the Doolittle and Pan groups predicted, in silico, both ancient and recent lateral gene transfer into the B. bacteriovorus HD100 genome. Results: To test these predictions, we isolated a predatory bacterium from the River Tiber- a good potential source of LGT as it is rich in diverse bacteria and organic pollutants- by enrichment culturing with E. coli prey cells. The isolate was identified as B. bacteriovorus and named as strain Tiberius. Unusually, this Tiberius strain showed simultaneous prey-independent growth on organic nutrients and predatory growth on live prey. -
Evidence for the Role of Endosymbionts in Regional-Scale
Evidence for the role of endosymbionts in PNAS PLUS regional-scale habitat partitioning by hydrothermal vent symbioses Roxanne A. Beinarta, Jon G. Sandersa, Baptiste Faureb,c, Sean P. Sylvad, Raymond W. Leee, Erin L. Beckerb, Amy Gartmanf, George W. Luther IIIf, Jeffrey S. Seewaldd, Charles R. Fisherb, and Peter R. Girguisa,1 aDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; bBiology Department, Pennsylvania State University, University Park, PA 16802; cInstitut de Recherche pour le Développement, Laboratoire d’Ecologie Marine, Université de la Réunion, 97715 Saint Denis de La Réunion, France; dDepartment of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA 02543; eSchool of Biological Sciences, Washington State University, Pullman, WA 99164; and fSchool of Marine Science and Policy, University of Delaware, Lewes, DE 19958 Edited* by Paul G. Falkowski, Rutgers, The State University of New Jersey, New Brunswick, NJ, and approved September 26, 2012 (received for review February 21, 2012) Deep-sea hydrothermal vents are populated by dense communities Hydrothermal vents are extremely productive environments of animals that form symbiotic associations with chemolithoauto- wherein primary production occurs via chemolithoautotrophy, trophic bacteria. To date, our understanding of which factors govern the generation of energy for carbon fixation from the oxidation the distribution of host/symbiont associations (or holobionts) in of vent-derived reduced inorganic chemicals (6). The dense nature is limited, although host physiology often is invoked. In communities of macrofauna that populate these habitats typically general, the role that symbionts play in habitat utilization by vent are dominated by invertebrates that form symbiotic associations holobionts has not been thoroughly addressed. -
Supplementary Materials - Methods
Supplementary Materials - Methods Bacterial Phylogeny Using the predicted phylogenetic positions from the Microbial Gene Atlas (MiGA), all complete genomes for the classes betaproteobacteria, alphaproteobacteria, and Bacteroides available on NCBI were collected. The GToTree pipeline was run on each of these datasets, including the Nephromyces endosymbiont, using the relevant HMM set of single copy gene targets (57–62). This included 138 gene targets and 722 genomes in alphaproteobacteria, 203 gene targets and 471 genomes in betaproteobacteria, and 90 gene targets and 388 genomes in Bacteroidetes. In betaproteobacteria, 5 genomes were removed for having either too few hits to the single copy gene targets, or multiple hits. The final trees were created with FastTree v2 (63), and formatted in FigTree (S Figure 2,3). Amplicon Methods Detailed Fifty Molgula manhattensis tunicates were collected from a single floating dock located in Greenwich Bay, RI (41.653N, -71.452W), and 29 Molgula occidentalis were collected from Alligator Harbor, FL (29.899N, -84.381W) by Gulf Specimens Marine Laboratories, Inc. (https://gulfspecimen.org/). All 79 samples were collected in August of 2016 and prepared for a single Illumina MiSeq flow cell (hereafter referred to as Run One). An additional 25 Molgula occidentalis were collected by Gulf Specimens Marine Laboratories, Inc. in March of 2018 from the same location and prepared for a second MiSeq flow cell (hereafter referred to as Run Two). Tunicates were dissected to remove renal sacs and Nephromyces cells contained within were collected by a micropipette and placed in 1.5 ml eppendorf tubes. Dissecting tools were sterilized in a 10% bleach solution for 15 min and then rinsed between tunicates. -
Physiological Dynamics of Chemosynthetic Symbionts in Hydrothermal Vent Snails
The ISME Journal (2020) 14:2568–2579 https://doi.org/10.1038/s41396-020-0707-2 ARTICLE Physiological dynamics of chemosynthetic symbionts in hydrothermal vent snails 1 2 2 3 3 2 Corinna Breusing ● Jessica Mitchell ● Jennifer Delaney ● Sean P. Sylva ● Jeffrey S. Seewald ● Peter R. Girguis ● Roxanne A. Beinart 1 Received: 7 November 2019 / Revised: 15 June 2020 / Accepted: 23 June 2020 / Published online: 2 July 2020 © The Author(s) 2020. This article is published with open access Abstract Symbioses between invertebrate animals and chemosynthetic bacteria form the basis of hydrothermal vent ecosystems worldwide. In the Lau Basin, deep-sea vent snails of the genus Alviniconcha associate with either Gammaproteobacteria (A. kojimai, A. strummeri)orCampylobacteria (A. boucheti) that use sulfide and/or hydrogen as energy sources. While the A. boucheti host–symbiont combination (holobiont) dominates at vents with higher concentrations of sulfide and hydrogen, the A. kojimai and A. strummeri holobionts are more abundant at sites with lower concentrations of these reductants. We posit that adaptive differences in symbiont physiology and gene regulation might influence the observed niche partitioning 1234567890();,: 1234567890();,: between host taxa. To test this hypothesis, we used high-pressure respirometers to measure symbiont metabolic rates and examine changes in gene expression among holobionts exposed to in situ concentrations of hydrogen (H2: ~25 µM) or hydrogen sulfide (H2S: ~120 µM). The campylobacterial symbiont exhibited the lowest rate of H2S oxidation but the highest rate of H2 oxidation, with fewer transcriptional changes and less carbon fixation relative to the gammaproteobacterial symbionts under each experimental condition. These data reveal potential physiological adaptations among symbiont types, which may account for the observed net differences in metabolic activity and contribute to the observed niche segregation among holobionts. -
14128 JGI CR 07:2007 JGI Progress Report
U.S. JOINT DEPARTMENT GENOME OF ENERGY INSTITUTE PROGRESS REPORT 2007 On the cover: The eucalyptus tree was selected in 2007 for se- quencing by the JGI. The microbial community in the termite hindgut of Nasutitermes corniger was the subject of a study published in the November 22, 2007 edition of the journal, Nature. JGI Mission The U.S. Department of Energy Joint Genome Institute, supported by the DOE Office of Science, unites the expertise of five national laboratories—Lawrence Berkeley, Lawrence Livermore, Los Alamos, Oak Ridge, and Pacific Northwest — along with the Stanford Human Genome Center to advance genomics in support of the DOE mis- sions related to clean energy generation and environmental char- acterization and cleanup. JGI’s Walnut Creek, CA, Production Genomics Facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges. U.S. DEPARTMENT OF ENERGY JOINT GENOME INSTITUTE PROGRESS REPORT 2007 JGI PROGRESS REPORT 2007 Director’s Perspective . 4 JGI History. 7 Partner Laboratories . 9 JGI Departments and Programs . 13 JGI User Community . 19 Genomics Approaches to Advancing Next Generation Biofuels . 21 JGI’s Plant Biomass Portfolio . 24 JGI’s Microbial Portfolio . 30 Symbiotic Organisms . 30 Microbes That Break Down Biomass . 32 Microbes That Ferment Sugars Into Ethanol . 34 Carbon Cycling . 39 Understanding Algae’s Role in Photosynthesis and Carbon Capture . 39 Microbial Bioremediation . 43 Microbial Managers of the Nitrogen Cycle . 43 Microbial Management of Wastewater . 44 Exploratory Sequence-Based Science . 47 Genomic Encyclopedia for Bacteria and Archaea (GEBA) . 47 Functional Analysis of Horizontal Gene Transfer . 47 Anemone Genome Gives Glimpse of Multicelled Ancestors .