Genome-Based Microbial Taxonomy Coming of Age
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Genomic Insight Into the Host–Endosymbiont Relationship of Endozoicomonas Montiporae CL-33T with Its Coral Host
ORIGINAL RESEARCH published: 08 March 2016 doi: 10.3389/fmicb.2016.00251 Genomic Insight into the Host–Endosymbiont Relationship of Endozoicomonas montiporae CL-33T with its Coral Host Jiun-Yan Ding 1, Jia-Ho Shiu 1, Wen-Ming Chen 2, Yin-Ru Chiang 1 and Sen-Lin Tang 1* 1 Biodiversity Research Center, Academia Sinica, Taipei, Taiwan, 2 Department of Seafood Science, Laboratory of Microbiology, National Kaohsiung Marine University, Kaohsiung, Taiwan The bacterial genus Endozoicomonas was commonly detected in healthy corals in many coral-associated bacteria studies in the past decade. Although, it is likely to be a core member of coral microbiota, little is known about its ecological roles. To decipher potential interactions between bacteria and their coral hosts, we sequenced and investigated the first culturable endozoicomonal bacterium from coral, the E. montiporae CL-33T. Its genome had potential sign of ongoing genome erosion and gene exchange with its Edited by: Rekha Seshadri, host. Testosterone degradation and type III secretion system are commonly present in Department of Energy Joint Genome Endozoicomonas and may have roles to recognize and deliver effectors to their hosts. Institute, USA Moreover, genes of eukaryotic ephrin ligand B2 are present in its genome; presumably, Reviewed by: this bacterium could move into coral cells via endocytosis after binding to coral’s Eph Kathleen M. Morrow, University of New Hampshire, USA receptors. In addition, 7,8-dihydro-8-oxoguanine triphosphatase and isocitrate lyase Jean-Baptiste Raina, are possible type III secretion effectors that might help coral to prevent mitochondrial University of Technology Sydney, Australia dysfunction and promote gluconeogenesis, especially under stress conditions. -
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. -
Acidification Increases Abundances of Vibrionales And
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Sapientia Acidification increases abundances of Vibrionales and Planctomycetia associated to a seaweed-grazer system: potential consequences for disease and prey digestion efficiency Tania Aires1,*, Alexandra Serebryakova1,2,*, Frédérique Viard2,3, Ester A. Serrão1 and Aschwin H. Engelen1 1 Center for Marine Sciences (CCMAR), CIMAR, University of Algarve, Campus de Gambelas, Faro, Portugal 2 Sorbonne Université, CNRS, Lab Adaptation and Diversity in Marine Environments (UMR 7144 CNRS SU), Station Biologique de Roscoff, Roscoff, France 3 CNRS, UMR 7144, Divco Team, Station Biologique de Roscoff, Roscoff, France * These authors contributed equally to this work. ABSTRACT Ocean acidification significantly affects marine organisms in several ways, with complex interactions. Seaweeds might benefit from rising CO2 through increased photosynthesis and carbon acquisition, with subsequent higher growth rates. However, changes in seaweed chemistry due to increased CO2 may change the nutritional quality of tissue for grazers. In addition, organisms live in close association with a diverse microbiota, which can also be influenced by environmental changes, with feedback effects. As gut microbiomes are often linked to diet, changes in seaweed characteristics and associated microbiome can affect the gut microbiome of the grazer, with possible fitness consequences. In this study, we experimentally investigated the effects of acidification on the microbiome of the invasive brown seaweed Sargassum muticum and a native isopod consumer Synisoma nadejda. Both were exposed to ambient CO2 conditions Submitted 13 September 2017 (380 ppm, pH 8.16) and an acidification treatment (1,000 ppm, pH 7.86) for three Accepted 26 January 2018 weeks. -
Supporting Information
Supporting Information Lozupone et al. 10.1073/pnas.0807339105 SI Methods nococcus, and Eubacterium grouped with members of other Determining the Environmental Distribution of Sequenced Genomes. named genera with high bootstrap support (Fig. 1A). One To obtain information on the lifestyle of the isolate and its reported member of the Bacteroidetes (Bacteroides capillosus) source, we looked at descriptive information from NCBI grouped firmly within the Firmicutes. This taxonomic error was (www.ncbi.nlm.nih.gov/genomes/lproks.cgi) and other related not surprising because gut isolates have often been classified as publications. We also determined which 16S rRNA-based envi- Bacteroides based on an obligate anaerobe, Gram-negative, ronmental surveys of microbial assemblages deposited near- nonsporulating phenotype alone (6, 7). A more recent 16S identical sequences in GenBank. We first downloaded the gbenv rRNA-based analysis of the genus Clostridium defined phylo- files from the NCBI ftp site on December 31, 2007, and used genetically related clusters (4, 5), and these designations were them to create a BLAST database. These files contain GenBank supported in our phylogenetic analysis of the Clostridium species in the HGMI pipeline. We thus designated these Clostridium records for the ENV database, a component of the nonredun- species, along with the species from other named genera that dant nucleotide database (nt) where 16S rRNA environmental cluster with them in bootstrap supported nodes, as being within survey data are deposited. GenBank records for hits with Ͼ98% these clusters. sequence identity over 400 bp to the 16S rRNA sequence of each of the 67 genomes were parsed to get a list of study titles Annotation of GTs and GHs. -
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. -
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%). -
Gut Microbiota Signature of Pathogen-Dependent Dysbiosis in Viral Gastroenteritis
www.nature.com/scientificreports OPEN Gut microbiota signature of pathogen‑dependent dysbiosis in viral gastroenteritis Taketoshi Mizutani1*, Samuel Yaw Aboagye2, Aya Ishizaka1, Theophillus Afum2, Gloria Ivy Mensah2, Adwoa Asante‑Poku2, Diana Asema Asandem2, Prince Kof Parbie2,3,4, Christopher Zaab‑Yen Abana2, Dennis Kushitor2, Evelyn Yayra Bonney2, Motoi Adachi5, Hiroki Hori5, Koichi Ishikawa4, Tetsuro Matano1,3,4, Kiyosu Taniguchi6, David Opare7, Doris Arhin7, Franklin Asiedu‑Bekoe7, William Kwabena Ampofo2, Dorothy Yeboah‑Manu2, Kwadwo Ansah Koram2, Abraham Kwabena Anang2 & Hiroshi Kiyono1,8,9 Acute gastroenteritis associated with diarrhea is considered a serious disease in Africa and South Asia. In this study, we examined the trends in the causative pathogens of diarrhea and the corresponding gut microbiota in Ghana using microbiome analysis performed on diarrheic stools via 16S rRNA sequencing. In total, 80 patients with diarrhea and 34 healthy adults as controls, from 2017 to 2018, were enrolled in the study. Among the patients with diarrhea, 39 were norovirus‑positive and 18 were rotavirus‑positive. The analysis of species richness (Chao1) was lower in patients with diarrhea than that in controls. Beta‑diversity analysis revealed signifcant diferences between the two groups. Several diarrhea‑related pathogens (e.g., Escherichia‑Shigella, Klebsiella and Campylobacter) were detected in patients with diarrhea. Furthermore, co‑infection with these pathogens and enteroviruses (e.g., norovirus and rotavirus) was observed in several cases. Levels of both Erysipelotrichaceae and Staphylococcaceae family markedly difered between norovirus‑positive and ‑negative diarrheic stools, and the 10 predicted metabolic pathways, including the carbohydrate metabolism pathway, showed signifcant diferences between rotavirus‑positive patients with diarrhea and controls. -
Microbiome Disturbance and Resilience Dynamics of the Upper Respiratory Tract During Influenza a Virus Infection
ARTICLE https://doi.org/10.1038/s41467-020-16429-9 OPEN Microbiome disturbance and resilience dynamics of the upper respiratory tract during influenza A virus infection Drishti Kaul1,12, Raveen Rathnasinghe2,12, Marcela Ferres2, Gene S. Tan1,3, Aldo Barrera2,4, Brett E. Pickett5,6, Barbara A. Methe5,7, Suman Das5, Isolda Budnik2, Rebecca A. Halpin5, David Wentworth5,10, Mirco Schmolke 8,11, Ignacio Mena 8, Randy A. Albrecht 8, Indresh Singh5, Karen E. Nelson5, ✉ ✉ Adolfo García-Sastre 8,9, Chris L. Dupont 1 & Rafael A. Medina 2,4,8 1234567890():,; Infection with influenza can be aggravated by bacterial co-infections, which often results in disease exacerbation. The effects of influenza infection on the upper respiratory tract (URT) microbiome are largely unknown. Here, we report a longitudinal study to assess the temporal dynamics of the URT microbiomes of uninfected and influenza virus-infected humans and ferrets. Uninfected human patients and ferret URT microbiomes have stable healthy ecostate communities both within and between individuals. In contrast, infected patients and ferrets exhibit large changes in bacterial community composition over time and between individuals. The unhealthy ecostates of infected individuals progress towards the healthy ecostate, coinciding with viral clearance and recovery. Pseudomonadales associate statistically with the disturbed microbiomes of infected individuals. The dynamic and resilient microbiome during influenza virus infection in multiple hosts provides a compelling rationale for the maintenance of the microbiome homeostasis as a potential therapeutic target to prevent IAV associated bacterial co-infections. 1 J. Craig Venter Institute, 4120 Capricorn Lane, La Jolla, CA 92037, USA. 2 Departmento de Enfermedades Infecciosas e Inmunología Pediátrica, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile. -
Compile.Xlsx
Silva OTU GS1A % PS1B % Taxonomy_Silva_132 otu0001 0 0 2 0.05 Bacteria;Acidobacteria;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un;Acidobacteria_un; otu0002 0 0 1 0.02 Bacteria;Acidobacteria;Acidobacteriia;Solibacterales;Solibacteraceae_(Subgroup_3);PAUC26f; otu0003 49 0.82 5 0.12 Bacteria;Acidobacteria;Aminicenantia;Aminicenantales;Aminicenantales_fa;Aminicenantales_ge; otu0004 1 0.02 7 0.17 Bacteria;Acidobacteria;AT-s3-28;AT-s3-28_or;AT-s3-28_fa;AT-s3-28_ge; otu0005 1 0.02 0 0 Bacteria;Acidobacteria;Blastocatellia_(Subgroup_4);Blastocatellales;Blastocatellaceae;Blastocatella; otu0006 0 0 2 0.05 Bacteria;Acidobacteria;Holophagae;Subgroup_7;Subgroup_7_fa;Subgroup_7_ge; otu0007 1 0.02 0 0 Bacteria;Acidobacteria;ODP1230B23.02;ODP1230B23.02_or;ODP1230B23.02_fa;ODP1230B23.02_ge; otu0008 1 0.02 15 0.36 Bacteria;Acidobacteria;Subgroup_17;Subgroup_17_or;Subgroup_17_fa;Subgroup_17_ge; otu0009 9 0.15 41 0.99 Bacteria;Acidobacteria;Subgroup_21;Subgroup_21_or;Subgroup_21_fa;Subgroup_21_ge; otu0010 5 0.08 50 1.21 Bacteria;Acidobacteria;Subgroup_22;Subgroup_22_or;Subgroup_22_fa;Subgroup_22_ge; otu0011 2 0.03 11 0.27 Bacteria;Acidobacteria;Subgroup_26;Subgroup_26_or;Subgroup_26_fa;Subgroup_26_ge; otu0012 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_5;Subgroup_5_or;Subgroup_5_fa;Subgroup_5_ge; otu0013 1 0.02 13 0.32 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_or;Subgroup_6_fa;Subgroup_6_ge; otu0014 0 0 1 0.02 Bacteria;Acidobacteria;Subgroup_6;Subgroup_6_un;Subgroup_6_un;Subgroup_6_un; otu0015 8 0.13 30 0.73 Bacteria;Acidobacteria;Subgroup_9;Subgroup_9_or;Subgroup_9_fa;Subgroup_9_ge;