The Presence and Localization of G-Quadruplex Forming Sequences in the Domain of Bacteria
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Spatio-Temporal Study of Microbiology in the Stratified Oxic-Hypoxic-Euxinic, Freshwater- To-Hypersaline Ursu Lake
Spatio-temporal insights into microbiology of the freshwater-to- hypersaline, oxic-hypoxic-euxinic waters of Ursu Lake Baricz, A., Chiriac, C. M., Andrei, A-., Bulzu, P-A., Levei, E. A., Cadar, O., Battes, K. P., Cîmpean, M., enila, M., Cristea, A., Muntean, V., Alexe, M., Coman, C., Szekeres, E. K., Sicora, C. I., Ionescu, A., Blain, D., O’Neill, W. K., Edwards, J., ... Banciu, H. L. (2020). Spatio-temporal insights into microbiology of the freshwater-to- hypersaline, oxic-hypoxic-euxinic waters of Ursu Lake. Environmental Microbiology. https://doi.org/10.1111/1462-2920.14909, https://doi.org/10.1111/1462-2920.14909 Published in: Environmental Microbiology Document Version: Peer reviewed version Queen's University Belfast - Research Portal: Link to publication record in Queen's University Belfast Research Portal Publisher rights Copyright 2019 Wiley. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher. General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [email protected]. -
Battistuzzi2009chap07.Pdf
Eubacteria Fabia U. Battistuzzia,b,* and S. Blair Hedgesa shown increasing support for lower-level phylogenetic Department of Biology, 208 Mueller Laboratory, The Pennsylvania clusters (e.g., classes and below), they have also shown the State University, University Park, PA 16802-5301, USA; bCurrent susceptibility of eubacterial phylogeny to biases such as address: Center for Evolutionary Functional Genomics, The Biodesign horizontal gene transfer (HGT) (20, 21). Institute, Arizona State University, Tempe, AZ 85287-5301, USA In recent years, three major approaches have been used *To whom correspondence should be addressed (Fabia.Battistuzzi@ asu.edu) for studying prokaryote phylogeny with data from com- plete genomes: (i) combining gene sequences in a single analysis of multiple genes (e.g., 7, 9, 10), (ii) combining Abstract trees from individual gene analyses into a single “super- tree” (e.g., 22, 23), and (iii) using the presence or absence The ~9400 recognized species of prokaryotes in the of genes (“gene content”) as the raw data to investigate Superkingdom Eubacteria are placed in 25 phyla. Their relationships (e.g., 17, 18). While the results of these dif- relationships have been diffi cult to establish, although ferent approaches have not agreed on many details of some major groups are emerging from genome analyses. relationships, there have been some points of agreement, A molecular timetree, estimated here, indicates that most such as support for the monophyly of all major classes (85%) of the phyla and classes arose in the Archean Eon and some phyla (e.g., Proteobacteria and Firmicutes). (4000−2500 million years ago, Ma) whereas most (95%) of 7 ese A ndings, although criticized by some (e.g., 24, 25), the families arose in the Proterozoic Eon (2500−542 Ma). -
Genomics 98 (2011) 370–375
Genomics 98 (2011) 370–375 Contents lists available at ScienceDirect Genomics journal homepage: www.elsevier.com/locate/ygeno Whole-genome comparison clarifies close phylogenetic relationships between the phyla Dictyoglomi and Thermotogae Hiromi Nishida a,⁎, Teruhiko Beppu b, Kenji Ueda b a Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan b Life Science Research Center, College of Bioresource Sciences, Nihon University, Fujisawa, Japan article info abstract Article history: The anaerobic thermophilic bacterial genus Dictyoglomus is characterized by the ability to produce useful Received 2 June 2011 enzymes such as amylase, mannanase, and xylanase. Despite the significance, the phylogenetic position of Accepted 1 August 2011 Dictyoglomus has not yet been clarified, since it exhibits ambiguous phylogenetic positions in a single gene Available online 7 August 2011 sequence comparison-based analysis. The number of substitutions at the diverging point of Dictyoglomus is insufficient to show the relationships in a single gene comparison-based analysis. Hence, we studied its Keywords: evolutionary trait based on whole-genome comparison. Both gene content and orthologous protein sequence Whole-genome comparison Dictyoglomus comparisons indicated that Dictyoglomus is most closely related to the phylum Thermotogae and it forms a Bacterial systematics monophyletic group with Coprothermobacter proteolyticus (a constituent of the phylum Firmicutes) and Coprothermobacter proteolyticus Thermotogae. Our findings indicate that C. proteolyticus does not belong to the phylum Firmicutes and that the Thermotogae phylum Dictyoglomi is not closely related to either the phylum Firmicutes or Synergistetes but to the phylum Thermotogae. © 2011 Elsevier Inc. -
Supplementary Information
doi: 10.1038/nature06269 SUPPLEMENTARY INFORMATION METAGENOMIC AND FUNCTIONAL ANALYSIS OF HINDGUT MICROBIOTA OF A WOOD FEEDING HIGHER TERMITE TABLE OF CONTENTS MATERIALS AND METHODS 2 • Glycoside hydrolase catalytic domains and carbohydrate binding modules used in searches that are not represented by Pfam HMMs 5 SUPPLEMENTARY TABLES • Table S1. Non-parametric diversity estimators 8 • Table S2. Estimates of gross community structure based on sequence composition binning, and conserved single copy gene phylogenies 8 • Table S3. Summary of numbers glycosyl hydrolases (GHs) and carbon-binding modules (CBMs) discovered in the P3 luminal microbiota 9 • Table S4. Summary of glycosyl hydrolases, their binning information, and activity screening results 13 • Table S5. Comparison of abundance of glycosyl hydrolases in different single organism genomes and metagenome datasets 17 • Table S6. Comparison of abundance of glycosyl hydrolases in different single organism genomes (continued) 20 • Table S7. Phylogenetic characterization of the termite gut metagenome sequence dataset, based on compositional phylogenetic analysis 23 • Table S8. Counts of genes classified to COGs corresponding to different hydrogenase families 24 • Table S9. Fe-only hydrogenases (COG4624, large subunit, C-terminal domain) identified in the P3 luminal microbiota. 25 • Table S10. Gene clusters overrepresented in termite P3 luminal microbiota versus soil, ocean and human gut metagenome datasets. 29 • Table S11. Operational taxonomic unit (OTU) representatives of 16S rRNA sequences obtained from the P3 luminal fluid of Nasutitermes spp. 30 SUPPLEMENTARY FIGURES • Fig. S1. Phylogenetic identification of termite host species 38 • Fig. S2. Accumulation curves of 16S rRNA genes obtained from the P3 luminal microbiota 39 • Fig. S3. Phylogenetic diversity of P3 luminal microbiota within the phylum Spirocheates 40 • Fig. -
Fatty Acid Diets: Regulation of Gut Microbiota Composition and Obesity and Its Related Metabolic Dysbiosis
International Journal of Molecular Sciences Review Fatty Acid Diets: Regulation of Gut Microbiota Composition and Obesity and Its Related Metabolic Dysbiosis David Johane Machate 1, Priscila Silva Figueiredo 2 , Gabriela Marcelino 2 , Rita de Cássia Avellaneda Guimarães 2,*, Priscila Aiko Hiane 2 , Danielle Bogo 2, Verônica Assalin Zorgetto Pinheiro 2, Lincoln Carlos Silva de Oliveira 3 and Arnildo Pott 1 1 Graduate Program in Biotechnology and Biodiversity in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; [email protected] (D.J.M.); [email protected] (A.P.) 2 Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; pri.fi[email protected] (P.S.F.); [email protected] (G.M.); [email protected] (P.A.H.); [email protected] (D.B.); [email protected] (V.A.Z.P.) 3 Chemistry Institute, Federal University of Mato Grosso do Sul, Campo Grande 79079-900, Brazil; [email protected] * Correspondence: [email protected]; Tel.: +55-67-3345-7416 Received: 9 March 2020; Accepted: 27 March 2020; Published: 8 June 2020 Abstract: Long-term high-fat dietary intake plays a crucial role in the composition of gut microbiota in animal models and human subjects, which affect directly short-chain fatty acid (SCFA) production and host health. This review aims to highlight the interplay of fatty acid (FA) intake and gut microbiota composition and its interaction with hosts in health promotion and obesity prevention and its related metabolic dysbiosis. -
World Journal of Clinical Cases
World Journal of W J C C Clinical Cases Submit a Manuscript: http://www.f6publishing.com World J Clin Cases 2018 April 16; 6(4): 54-63 DOI: 10.12998/wjcc.v6.i4.54 ISSN 2307-8960 (online) ORIGINAL ARTICLE Observational Study Correlations between microbial communities in stool and clinical indicators in patients with metabolic syndrome Lang Lin, Zai-Bo Wen, Dong-Jiao Lin, Jiang-Ting Dong, Jie Jin, Fei Meng Lang Lin, Zai-Bo Wen, Dong-Jiao Lin, Jiang-Ting Dong, the use is non-commercial. See: http://creativecommons.org/ Department of Gastroenterology, Cangnan People’s Hospital, licenses/by-nc/4.0/ Cangnan 325800, Zhejiang Province, China Manuscript source: Unsolicited manuscript Jie Jin, Fei Meng, Department of Research Service, Zhiyuan Medical Inspection Institute CO., LTD, Hangzhou 310030, Correspondence to: Lang Lin, MSc, Chief Doctor, Department Zhejiang Province, China of Gastroenterology, Cangnan People’s Hospital, Lingxi Town, Yucang Road No.195, Cangnan 325800, Zhejiang Province, ORCID number: Lang Lin (0000-0001-5879-7487); Zai-Bo Wen China. [email protected] (0000-0003-1290-0404); Dong-Jiao Lin (0000-0001-5186-8182); Jiang- Telephone: +86-577-64767351 Ting Dong (0000-0002-6433-0143); Jie Jin (0000-0003-1481-5107); Fei Fax: +86-577-64767351 Meng (0000-0003-1233-4270). Received: January 2, 2018 Author contributions: Lin L formulated the problem; Wen ZB, Peer-review started: January 2, 2018 Lin DJ and Dong JT collected samples; Meng F performed 16S First decision: January 18, 2018 rDNA sequencing; Jin J analyzed the data; Lin L and Jin J wrote Revised: February 2, 2018 the paper. -
Evolution Génomique Chez Les Bactéries Du Super Phylum Planctomycetes-Verrucomicrobiae-Chlamydia
AIX-MARSEILLE UNIVERSITE FACULTE DE MEDECINE DE MARSEILLE ECOLE DOCTORALE : SCIENCE DE LA VIE ET DE LA SANTE THESE Présentée et publiquement soutenue devant LA FACULTE DE MEDECINE DE MARSEILLE Le 15 janvier 2016 Par Mme Sandrine PINOS Née à Saint-Gaudens le 09 octobre 1989 TITRE DE LA THESE: Evolution génomique chez les bactéries du super phylum Planctomycetes-Verrucomicrobiae-Chlamydia Pour obtenir le grade de DOCTORAT d'AIX-MARSEILLE UNIVERSITE Spécialité : Génomique et Bioinformatique Membres du jury de la Thèse: Pr Didier RAOULT .................................................................................Directeur de thèse Dr Pierre PONTAROTTI ....................................................................Co-directeur de thèse Pr Gilbert GREUB .............................................................................................Rapporteur Dr Pascal SIMONET............................................................................................Rapporteur Laboratoires d’accueil Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes – UMR CNRS 6236, IRD 198 I2M - UMR CNRS 7373 - EBM 1 Avant propos Le format de présentation de cette thèse correspond à une recommandation de la spécialité Maladies Infectieuses et Microbiologie, à l’intérieur du Master de Sciences de la Vie et de la Santé qui dépend de l’Ecole Doctorale des Sciences de la Vie de Marseille. Le candidat est amené à respecter des règles qui lui sont imposées et qui comportent un format de thèse utilisé dans le Nord de l’Europe permettant un meilleur rangement que les thèses traditionnelles. Par ailleurs, la partie introduction et bibliographie est remplacée par une revue envoyée dans un journal afin de permettre une évaluation extérieure de la qualité de la revue et de permettre à l’étudiant de le commencer le plus tôt possible une bibliographie exhaustive sur le domaine de cette thèse. Par ailleurs, la thèse est présentée sur article publié, accepté ou soumis associé d’un bref commentaire donnant le sens général du travail. -
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. -
Characterization of an Adapted Microbial Population to the Bioconversion of Carbon Monoxide Into Butanol Using Next-Generation Sequencing Technology
Characterization of an adapted microbial population to the bioconversion of carbon monoxide into butanol using next-generation sequencing technology Guillaume Bruant Research officer, Bioengineering group Energy, Mining, Environment - National Research Council Canada Pacific Rim Summit on Industrial Biotechnology and Bioenergy December 8 -11, 2013 Butanol from residue (dry): syngas route biomass → gasification → syngas → catalysis → synfuels (CO, H2, CO2, CH4) (alcohols…) Biocatalysis vs Chemical catalysis potential for higher product specificity may be less problematic when impurities present less energy intensive (low pressure and temperature) Anaerobic undefined mixed culture vs bacterial pure culture mesophilic anaerobic sludge treating agricultural wastes (Lassonde Inc, Rougemont, QC, Canada) PRS 2013 - 2 Experimental design CO Alcohols Serum bottles incubated at Next Generation RDP Pyrosequencing mesophilic temperature Sequencing (NGS) pipeline 35°C for 2 months Ion PGMTM sequencer http://pyro.cme.msu.edu/ sequences filtered CO continuously supplied Monitoring of bacterial and to the gas phase archaeal populations RDP classifier atmosphere of 100% CO, http://rdp.cme.msu.edu/ 1 atm 16S rRNA genes Ion 314TM chip classifier VFAs & alcohol production bootstrap confidence cutoff low level of butanol of 50 % Samples taken after 1 and 2 months total genomic DNA extracted, purified, concentrated PRS 2013 - 3 NGS: bacterial results Bacterial population - Phylum level 100% 80% Other Chloroflexi 60% Synergistetes % -
Microbial Community Structure in Rice, Crops, and Pastures Rotation Systems with Different Intensification Levels in the Temperate Region of Uruguay
Supplementary Material Microbial community structure in rice, crops, and pastures rotation systems with different intensification levels in the temperate region of Uruguay Sebastián Martínez Table S1. Relative abundance of the 20 most abundant bacterial taxa of classified sequences. Relative Taxa Phylum abundance 4,90 _Bacillus Firmicutes 3,21 _Bacillus aryabhattai Firmicutes 2,76 _uncultured Prosthecobacter sp. Verrucomicrobia 2,75 _uncultured Conexibacteraceae bacterium Actinobacteria 2,64 _uncultured Conexibacter sp. Actinobacteria 2,14 _Nocardioides sp. Actinobacteria 2,13 _Acidothermus Actinobacteria 1,50 _Bradyrhizobium Proteobacteria 1,23 _Bacillus Firmicutes 1,10 _Pseudolabrys_uncultured bacterium Proteobacteria 1,03 _Bacillus Firmicutes 1,02 _Nocardioidaceae Actinobacteria 0,99 _Candidatus Solibacter Acidobacteria 0,97 _uncultured Sphingomonadaceae bacterium Proteobacteria 0,94 _Streptomyces Actinobacteria 0,91 _Terrabacter_uncultured bacterium Actinobacteria 0,81 _Mycobacterium Actinobacteria 0,81 _uncultured Rubrobacteria Actinobacteria 0,77 _Xanthobacteraceae_uncultured forest soil bacterium Proteobacteria 0,76 _Streptomyces Actinobacteria Table S2. Relative abundance of the 20 most abundant fungal taxa of classified sequences. Relative Taxa Orden abundance. 20,99 _Fusarium oxysporum Ascomycota 11,97 _Aspergillaceae Ascomycota 11,14 _Chaetomium globosum Ascomycota 10,03 _Fungi 5,40 _Cucurbitariaceae; uncultured fungus Ascomycota 5,29 _Talaromyces purpureogenus Ascomycota 3,87 _Neophaeosphaeria; uncultured fungus Ascomycota -
Being Aquifex Aeolicus: Untangling a Hyperthermophile's Checkered Past
GBE Being Aquifex aeolicus: Untangling a Hyperthermophile’s Checkered Past Robert J.M. Eveleigh1,2, Conor J. Meehan1,2,JohnM.Archibald1, and Robert G. Beiko2,* 1Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Nova Scotia, Canada 2Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada *Corresponding author: E-mail: [email protected]. Accepted: November 22, 2013 Abstract Lateral gene transfer (LGT) is an important factor contributing to the evolution of prokaryotic genomes. The Aquificae are a hyper- thermophilic bacterial group whose genes show affiliations to many other lineages, including the hyperthermophilic Thermotogae, the Proteobacteria, and the Archaea. Previous phylogenomic analyses focused on Aquifex aeolicus identified Thermotogae and Downloaded from Aquificae either as successive early branches or sisters in a rooted bacterial phylogeny, but many phylogenies and cellular traits have suggested a stronger affiliation with the Epsilonproteobacteria. Different scenarios for the evolution of the Aquificae yield different phylogenetic predictions. Here, we outline these scenarios and consider the fit of the available data, including three sequenced Aquificae genomes, to different sets of predictions. Evidence from phylogenetic profiles and trees suggests that the Epsilonproteobacteria have the strongest affinities with the three Aquificae analyzed. However, this pattern is shown by only a http://gbe.oxfordjournals.org/ minority of encoded proteins, and the Archaea, many lineages of thermophilic bacteria, and members of genus Clostridium and class Deltaproteobacteria also show strong connections to the Aquificae. The phylogenetic affiliations of different functional subsystems showed strong biases: Most but not all genes implicated in the core translational apparatus tended to group Aquificae with Thermotogae, whereas a wide range of metabolic and cellular processes strongly supported the link between Aquificae and Epsilonproteobacteria.