Sepf Is the Ftsz Anchor in Archaea, with Features of an Ancestral Cell Division System
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Microbiology of Endodontic Infections
Scient Open Journal of Dental and Oral Health Access Exploring the World of Science ISSN: 2369-4475 Short Communication Microbiology of Endodontic Infections This article was published in the following Scient Open Access Journal: Journal of Dental and Oral Health Received August 30, 2016; Accepted September 05, 2016; Published September 12, 2016 Harpreet Singh* Abstract Department of Conservative Dentistry & Endodontics, Gian Sagar Dental College, Patiala, Punjab, India Root canal system acts as a ‘privileged sanctuary’ for the growth and survival of endodontic microbiota. This is attributed to the special environment which the microbes get inside the root canals and several other associated factors. Although a variety of microbes have been isolated from the root canal system, bacteria are the most common ones found to be associated with Endodontic infections. This article gives an in-depth view of the microbiology involved in endodontic infections during its different stages. Keywords: Bacteria, Endodontic, Infection, Microbiology Introduction Microorganisms play an unequivocal role in infecting root canal system. Endodontic infections are different from the other oral infections in the fact that they occur in an environment which is closed to begin with since the root canal system is an enclosed one, surrounded by hard tissues all around [1,2]. Most of the diseases of dental pulp and periradicular tissues are associated with microorganisms [3]. Endodontic infections occur and progress when the root canal system gets exposed to the oral environment by one reason or the other and simultaneously when there is fall in the body’s immune when the ingress is from a carious lesion or a traumatic injury to the coronal tooth structure.response [4].However, To begin the with, issue the if notmicrobes taken arecare confined of, ultimately to the leadsintra-radicular to the egress region of pathogensIn total, and bacteria their by-productsdetected from from the the oral apical cavity foramen fall into to 13 the separate periradicular phyla, tissues. -
Microbiology Unit- 1 1. According to Bergey's Manual of Systematic
Microbiology Unit- 1 1. According to Bergey’s Manual of Systematic Bacteriology, prokaryotes that lack a cell wall belong to the group? a) Gracilicutes b) Firmicutes c) Tenericutes d) Mendosicutes 2.Which among the following kingdoms were proposed by Whittaker? a) Monera b) Protista,Fungi c) Plantae,Animalia d) Monera,Protista,Fungi,Plantae,Animalia 3. Lipopolysaccharide in cell walls is characteristic of? a) Gram-positive bacteria b) Gram-negative bacteria c) Fungi d) Algae 4. Which of the following symmetry is exhibited by rod-shaped viruses? a) icosahedral b) helical c) complex d) circular 5. Fungi are ______________ a) prokaryotic b) eukaryotic c) prokaryotic and lack chlorophyll d) eukaryotic and lack chlorophyll 6. Which microorganism(s) among the following perform photosynthesis by utilizing light? a) Cyanobacteria b) Fungi c) Viruses d) Cyanobacteria, Fungi and Viruses 7. Adenoviruses exhibit which of the following symmetry? a) helical symmetry b) circular symmetry c) icosahedral symmetry d) complex structure symmetry 8. The transfer of genes from one cell to another by a bacteriophage is known as __________________ a) Recombination b) Conjugation c) Transduction d) Transformation 9. The cell in which the F factor carries along with it some chromosomal genes are known as ____________ a) F+ cell b) F— cell c) F’ cell d) F’’’ cell 10. The xanthophyte walls are typically of _____________________ a) chitin b) cellulose c) cellulose and pectin d) starch 11. Vaucheria is a single-celled organism. a) True b) False 12. In Chlamydomonas the most common method of sexual reproduction is ________________ a) isogamy b) heterogamy c) oogamy d) spore formation 13. -
Unique Metabolic Strategies in Hadean Analogues Reveal Hints for Primordial Physiology
Unique metabolic strategies in Hadean analogues reveal hints for primordial physiology - Supplementary Information - Masaru Konishi Nobu1†*, Ryosuke Nakai1,2†, Satoshi Tamazawa1,3, Hiroshi Mori4, Atsushi Toyoda4, Akira Ijiri5, Shino Suzuki6,7, Ken Kurokawa4, Yoichi Kamagata1, and Hideyuki Tamaki1* Affiliation: 1 Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, Japan 2 Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2-17-2-1, Tsukisamu-Higashi, Sapporo, 062-8517, Japan 3 Horonobe Research Institute for the Subsurface Environment (H-RISE), Northern Advancement Center for Science & Technology, 5-3 Sakaemachi, Horonobe, Teshio, Hokkaido, 098-3221, Japan 4 National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan 5 Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 200 Monobe Otsu, Nankoku, Kochi, Japan 6 Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), JAMSTEC, Natsushima 2-15, Yokosuka, Kanagawa 237-0061, Japan 7 Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), 3-1-1 Yoshinodai, Chuo-ku, Sagamihara, Kanagawa 252-5210, Japan † These authors contributed equally. * Corresponding author: [email protected] and [email protected] Table of Contents Supplementary Results ..................... 2 Supplementary Figures ..................... 3 Figure S1 3 Figure S2 4 Figure S3 5 Figure S4 6 Figure S5 7 Figure S6 8 Figure S7 9 References 10 Supplementary Tables ..................... 11 Table S1 11 Table S2 12 Table S3 13 Table S4 14 1 Supplementary Results H2 and formate metabolism Assuming that the hydrogenases and formate dehydrogenases in situ use NADP(H) or NAD(H)+ferredoxin (i.e., electron-bifurcating) (an assumption confirmed based on analysis of the metagenome-assembled genomes we recover; see below), H2 and formate are likely reductants. -
An Extension of Shannon's Entropy to Explain Taxa Diversity and Human Diseases
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233767; this version posted August 4, 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-ND 4.0 International license. 1 Title Page 2 Title: An extension of Shannon’s entropy to explain taxa diversity and human 3 diseases 4 Running title: A mathematical interpretation of life 5 6 Author list and full affiliations: 7 Farzin Kamari*1,2, MD, MPH; Sina Dadmand2,3, PharmD. 8 1Neurosciences Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran. 9 2Synaptic ProteoLab, Synaptic ApS, Skt Knuds Gade 20, 5000 Odense C, Denmark. 10 3Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. 11 *Corresponding author: Farzin Kamari 12 Email: [email protected] 13 14 Total character count (with spaces): 72,502 15 Keywords: origin of diseases/ protein-protein interaction/ Shannon’s entropy/ taxonomic 16 classification/ tree of life 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233767; this version posted August 4, 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-ND 4.0 International license. 17 Abstract 18 In this study, with the use of the information theory, we have proposed and proved a 19 mathematical theorem by which we argue the reason for the existence of human diseases. -
The Distribution of Microbiomes and Resistomes Across Farm Environments in Conventional and Organic Dairy Herds in Pennsylvania Dipti W
Pitta et al. Environmental Microbiome (2020) 15:21 Environmental Microbiome https://doi.org/10.1186/s40793-020-00368-5 RESEARCH ARTICLE Open Access The distribution of microbiomes and resistomes across farm environments in conventional and organic dairy herds in Pennsylvania Dipti W. Pitta* , Nagaraju Indugu, John D. Toth, Joseph S. Bender, Linda D. Baker, Meagan L. Hennessy, Bonnie Vecchiarelli, Helen Aceto and Zhengxia Dou Abstract Background: Antimicrobial resistance is a serious concern. Although the widespread use of antimicrobials in livestock has exacerbated the emergence and dissemination of antimicrobial resistance genes (ARG) in farm environments, little is known about whether antimicrobial use affects distribution of ARG in livestock systems. This study compared the distribution of microbiomes and resistomes (collections of ARG) across different farm sectors in dairy herds that differed in their use of antimicrobials. Feces from heifers, non-lactating, and lactating cows, manure storage, and soil from three conventional (antimicrobials used to treat cows) and three organic (no antimicrobials used for at least four years) farms in Pennsylvania were sampled. Samples were extracted for genomic DNA, processed, sequenced on the Illumina NextSeq platform, and analyzed for microbial community and resistome profiles using established procedures. Results: Microbial communities and resistome profiles clustered by sample type across all farms. Overall, abundance and diversity of ARG in feces was significantly higher in conventional herds compared to organic herds. The ARG conferring resistance to betalactams, macrolide-lincosamide-streptogramin (MLS), and tetracyclines were significantly higher in fecal samples of dairy cows from conventional herds compared to organic herds. Regardless of farm type, all manure storage samples had greater diversity (albeit low abundance) of ARG conferring resistance to aminoglycosides, tetracyclines, MLS, multidrug resistance, and phenicol. -
Chapter 11: Bacteria Bacterial Groups
Bacterial Groups u Most widely accepted taxonomic classification for bacteria is Bergey’s Manual of Systematic Bacteriology. u 5000 bacterial species identified, 3100 classified. Chapter 11: Bacteria u Bacteria are divided into four divisions (phyla) according to the characteristics of their cell walls. u Each division is divided into sections according to: u Gram stain reaction u Cell shape u Cell arrangements u Oxygen requirements u Motility u Nutritional and metabolic properties u Each section contains several genera. Four Divisions of Bacteria Classification of Bacteria Procaryotes Gram-Negative Division II Wall-Less Archaea Bacteria Bacteria Bacteria Bacteria (Gracilicutes) (Firmicutes) (Tenericutes) (Mendosicutes) Thin Cell Walls Thick cell Walls Lack cell walls Unusual cell walls Division I. Gram-Negative Bacteria Gram Negative Bacteria Spirochetes 1. Spirochetes u Helical shape. Flexible. u Contain two or more axial filaments (endoflagella). u Move in corkscrew pattern. u Medically important members: F Treponema pallidum: Syphilis F Borrelia spp.: Lyme disease, relapsing fever F Leptospira: Leptospirosis 1 Syphilis is Caused by a Spirochete Lyme Disease is Caused by a Spirochete Primary syphilitic chancre and secondary rash. Source: Tropical Medicine and Parasitology, 1997 Lyme Disease early lesion at tick bite site. Source: Medical Microbiology, 1998 2. Aerobic, Motile, Helical/Vibroid Gram- Negative Bacteria Gram Negative Bacteria u Rigid helical shape or curved rods. Aerobic, Motile, Helical/Vibroid u Lack axial filaments (endoflagella); have polar Gram-Negative Bacteria flagella instead. u Most are harmless aquatic organisms. u Genus Azospirillum fixes nitrogen in soil. u Genus Bdellovibrio attacks other bacteria. u Important pathogens include: F Campylobacter jejuni: Most common bacterial food- borne intestinal disease in the United States (2 million cases/year). -
Thermophilic Anaerobic Digestion of Second Cheese Whey: Microbial Community Response to H2 Addition in a Partially Immobilized Anaerobic Hybrid Reactor
processes Article Thermophilic Anaerobic Digestion of Second Cheese Whey: Microbial Community Response to H2 Addition in a Partially Immobilized Anaerobic Hybrid Reactor Giuseppe Lembo 1,2, Silvia Rosa 1, Valentina Mazzurco Miritana 1,3 , Antonella Marone 4, Giulia Massini 1, Massimiliano Fenice 2 and Antonella Signorini 1,* 1 Department of Energy Technologies and Renewable Source, Casaccia Research Center, ENEA-Italian Agency for New Technologies, Energy and Sustainable Development, Via Anguillarese 301, 00123 Rome, Italy; [email protected] (G.L.); [email protected] (S.R.); [email protected] (V.M.M.); [email protected] (G.M.) 2 Ecological and Biological Sciences Department, University of Tuscia, 01100 Viterbo, Italy; [email protected] 3 Water Research Institute, National Research Council (IRSA-CNR) Via Salaria km 29,300-C.P. 10, Monterotondo Street, 00015 Rome, Italy 4 Department of Energy Efficiency Unit, Casaccia Research Center, ENEA-Italian Agency for New Technologies, Energy and Sustainable Development, Via Anguillarese 301, 00123 Rome, Italy; [email protected] * Correspondence: [email protected] Abstract: In this study, we investigated thermophilic (55 ◦C) anaerobic digestion (AD) performance and microbial community structure, before and after hydrogen addition, in a novel hybrid gas-stirred tank reactor (GSTR) implemented with a partial immobilization of the microbial community and fed with second cheese whey (SCW). The results showed that H2 addition led to a 25% increase in the methane production rate and to a decrease of 13% in the CH4 concentration as compared with the control. The recovery of methane content (56%) was reached by decreasing the H2 flow rate. -
Cell Structure and Function in the Bacteria and Archaea
4 Chapter Preview and Key Concepts 4.1 1.1 DiversityThe Beginnings among theof Microbiology Bacteria and Archaea 1.1. •The BacteriaThe are discovery classified of microorganismsinto several Cell Structure wasmajor dependent phyla. on observations made with 2. theThe microscope Archaea are currently classified into two 2. •major phyla.The emergence of experimental 4.2 Cellscience Shapes provided and Arrangements a means to test long held and Function beliefs and resolve controversies 3. Many bacterial cells have a rod, spherical, or 3. MicroInquiryspiral shape and1: Experimentation are organized into and a specific Scientificellular c arrangement. Inquiry in the Bacteria 4.31.2 AnMicroorganisms Overview to Bacterialand Disease and Transmission Archaeal 4.Cell • StructureEarly epidemiology studies suggested how diseases could be spread and 4. Bacterial and archaeal cells are organized at be controlled the cellular and molecular levels. 5. • Resistance to a disease can come and Archaea 4.4 External Cell Structures from exposure to and recovery from a mild 5.form Pili allowof (or cells a very to attach similar) to surfacesdisease or other cells. 1.3 The Classical Golden Age of Microbiology 6. Flagella provide motility. Our planet has always been in the “Age of Bacteria,” ever since the first 6. (1854-1914) 7. A glycocalyx protects against desiccation, fossils—bacteria of course—were entombed in rocks more than 3 billion 7. • The germ theory was based on the attaches cells to surfaces, and helps observations that different microorganisms years ago. On any possible, reasonable criterion, bacteria are—and always pathogens evade the immune system. have been—the dominant forms of life on Earth. -
Downloaded in FASTA Format
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233767; this version posted August 7, 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-ND 4.0 International license. 1 Title Page 2 Title: An extension of Shannon’s entropy to explain taxa diversity and human 3 diseases 4 5 Author list and full affiliations: 6 Farzin Kamari*1,2, MD, MPH; Sina Dadmand2,3, PharmD. 7 1Neurosciences Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran. 8 2Synaptic ProteoLab, Synaptic ApS, Skt Knuds Gade 20, 5000 Odense C, Denmark. 9 3Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. *Corresponding author: Farzin Kamari 10 11 Email: [email protected] 12 13 Number of words in the main text (excluding Abstract, Methods, References, and 14 Figure/Table Legends): 3,934 15 Number of words in the Abstract: 148 16 17 Keywords: origin of diseases/ protein-protein interaction/ Shannon’s entropy/ taxonomic 18 classification/ tree of life 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233767; this version posted August 7, 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-ND 4.0 International license. 19 Abstract 20 In this study, with the use of the information theory, we have proposed and proved a 21 mathematical theorem by which we argue the reason for the existence of human diseases. -
The Anaerobic Digestion Microbiome: a Collection of 1600 Metagenome-Assembled Genomes Shows High Species Diversity Related to Me
bioRxiv preprint doi: https://doi.org/10.1101/680553; this version posted June 24, 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 The anaerobic digestion microbiome: a collection of 1600 metagenome-assembled genomes 2 shows high species diversity related to methane production 3 4 Stefano Campanaroa,c, Laura Treua,b,*, Luis M Rodriguez-Rd, Adam Kovalovszkib, Ryan M Zielse, 5 Irena Mausf, Xinyu Zhub, Panagiotis G. Kougiasg, Arianna Basilea, Gang Luoh, Andreas Schlüterf, 6 Konstantinos T. Konstantinidisd, Irini Angelidakib 7 (a) Department of Biology, University of Padova, Via U. Bassi 58/b, 35121, Padova, Italy 8 (b) Department of Environmental Engineering, Technical University of Denmark, Kgs. Lyngby, 9 DK-2800, Denmark 10 (c) CRIBI Biotechnology Center, University of Padova, Padova 35131, Italy 11 (d) School of Civil & Environmental Engineering and School of Biological Sciences (Adjunct) 12 Georgia Institute of Technology 311 Ferst Drive, Atlanta, GA 30332-0512 13 (e) Department of Civil Engineering, University of British Columbia, Vancouver, British Columbia, 14 Canada 15 (f) Bielefeld University, Center for Biotechnology (CeBiTec), Genome Research of Industrial 16 Microorganisms, Universitätsstr. 27, 33615 Bielefeld, Germany 17 (g) Soil and Water Resources Institute, Hellenic Agricultural Organization DEMETER, Thermi- 18 Thessaloniki, Greece 19 (h) Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), 20 Department of Environmental Science and Engineering, Fudan University, 200433, Shanghai, 21 China 22 * Correspondence and requests for materials should be addressed to L.T. (email: 23 [email protected]). 24 25 Keywords 26 Anaerobic digestion, Biogas, Metagenomics, Microbial community structure, Replication rate, 27 Binning, Methanogens, Archaea, Bacteria 28 1 bioRxiv preprint doi: https://doi.org/10.1101/680553; this version posted June 24, 2019. -
General Microbiology Appliance
• Ministry of Health, Republic of Belarus Institution of Education “Grodno State Medical University” Department of Microbiology, Virology and Immunology named after S.I.Gelberg GENERAL MICROBIOLOGY Training appliance for students of the Department for International Students The Subject of Microbiology Microscopic Method of Investigation and Staining Techniques Theme No1 DEFINITION OF THE TERMS “MICROBIOLOGY” AND “MICROORGANISM” • Science studying microorganisms. • Organisms, invisible by the unaided eye (microscopic object = microbe) CLASSIFICATION OF MICROBIOLOGICAL SCIENCES • According to the topic (object) of research - General microbiology - Individual microbiological sciences • bacteriology (prokaryotes) • mycology (eukaryotes-fungi) • protozoology (eukaryotes - multicellular parasites) • virology (viruses) • According to their application • medical • sanitary • veterinary • industrial • soil • sea • space CLASSIFICATION OF MICROBIOLOGICAL SCIENCES According to the topic According to their (object) of research application General microbiology • medical • sanitary Individual microbiological sciences: • veterinary • bacteriology • industrial (prokaryotes) • soil • mycology (eukaryotes- fungi) • sea • protozoology • space (eukaryotes - multicellular parasites) • virology (viruses) TASKS OF MEDICAL MICROBIOLOGY • Study of structure and biological properties of microorganisms • Study of cointeraction of microorganism with human organism (i.e. infection), namely: - pathogenesis - diagnostics - treatment - preventive maintenance MICROBIOLOGICAL -
The Apical Root Canal System Microbial Communities Determined
www.nature.com/scientificreports OPEN The apical root canal system microbial communities determined by next‑generation sequencing Luciana Carla Neves de Brito1, Janet Doolittle‑Hall2, Chun‑Teh Lee 3, Kevin Moss2, Wilson Bambirra Júnior4, Warley Luciano Fonseca Tavares4, Antônio Paulino Ribeiro Sobrinho4* & Flávia Rocha Fonseca Teles5 The aim of this study was to explore the microbial communities of endodontic infections at their apical portion by 16S rRNA Illumina sequencing and delineate the core microbiome of root canal infections and that of their associated clinical symptomatology. Samples were collected from ffteen subjects presenting one tooth with a root canal infection, and their associated symptoms were recorded. Samples were collected from the apical third of roots using a #10 K fle and then amplifed using multiple displacement amplifcation and PCR-amplifed with universal primers. Amplicons were sequenced (V3–V4 hypervariable region of the 16S rRNA gene) using MiSeq (Illumina, CA). The microbial composition of the samples was determined using QIIME and HOMINGS. Data were analyzed using t tests and ANOVA. A total of 1,038,656 good quality sequences were obtained, and OTUs were assigned to 10 bacterial phyla, led by Bacteroidetes (51.2%) and Firmicutes (27.1%), and 94 genera were represented primarily by Prevotella (17.9%) and Bacteroidaceae G-1 (14.3%). Symptomatic teeth were associated with higher levels of Porphyromonas (p < 0.05) and Prevotella. P. endodontalis and P. oris were present in both cores. The present study demonstrated the complexity of the root canal microbiome and the “common denominators” of root canal infections and identifed taxa whose virulence properties should be further explored.