Drylands Soil Bacterial Community Is Affected by Land Use Change and Different Irrigation Practices in the Mezquital Valley
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Annual Conference Abstracts
ANNUAL CONFERENCE 14-17 April 2014 Arena and Convention Centre, Liverpool ABSTRACTS SGM ANNUAL CONFERENCE APRIL 2014 ABSTRACTS (LI00Mo1210) – SGM Prize Medal Lecture (LI00Tu1210) – Marjory Stephenson Climate Change, Oceans, and Infectious Disease Prize Lecture Dr. Rita R. Colwell Understanding the basis of antibiotic resistance University of Maryland, College Park, MD, USA as a platform for early drug discovery During the mid-1980s, satellite sensors were developed to monitor Laura JV Piddock land and oceans for purposes of understanding climate, weather, School of Immunity & Infection and Institute of Microbiology and and vegetation distribution and seasonal variations. Subsequently Infection, University of Birmingham, UK inter-relationships of the environment and infectious diseases Antibiotic resistant bacteria are one of the greatest threats to human were investigated, both qualitatively and quantitatively, with health. Resistance can be mediated by numerous mechanisms documentation of the seasonality of diseases, notably malaria including mutations conferring changes to the genes encoding the and cholera by epidemiologists. The new research revealed a very target proteins as well as RND efflux pumps, which confer innate close interaction of the environment and many other infectious multi-drug resistance (MDR) to bacteria. The production of efflux diseases. With satellite sensors, these relationships were pumps can be increased, usually due to mutations in regulatory quantified and comparatively analyzed. More recent studies of genes, and this confers resistance to antibiotics that are often used epidemic diseases have provided models, both retrospective and to treat infections by Gram negative bacteria. RND MDR efflux prospective, for understanding and predicting disease epidemics, systems not only confer antibiotic resistance, but altered expression notably vector borne diseases. -
Corynebacterium Sp.|NML98-0116
1 Limnochorda_pilosa~GCF_001544015.1@NZ_AP014924=Bacteria-Firmicutes-Limnochordia-Limnochordales-Limnochordaceae-Limnochorda-Limnochorda_pilosa 0,9635 Ammonifex_degensii|KC4~GCF_000024605.1@NC_013385=Bacteria-Firmicutes-Clostridia-Thermoanaerobacterales-Thermoanaerobacteraceae-Ammonifex-Ammonifex_degensii 0,985 Symbiobacterium_thermophilum|IAM14863~GCF_000009905.1@NC_006177=Bacteria-Firmicutes-Clostridia-Clostridiales-Symbiobacteriaceae-Symbiobacterium-Symbiobacterium_thermophilum Varibaculum_timonense~GCF_900169515.1@NZ_LT827020=Bacteria-Actinobacteria-Actinobacteria-Actinomycetales-Actinomycetaceae-Varibaculum-Varibaculum_timonense 1 Rubrobacter_aplysinae~GCF_001029505.1@NZ_LEKH01000003=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_aplysinae 0,975 Rubrobacter_xylanophilus|DSM9941~GCF_000014185.1@NC_008148=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_xylanophilus 1 Rubrobacter_radiotolerans~GCF_000661895.1@NZ_CP007514=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_radiotolerans Actinobacteria_bacterium_rbg_16_64_13~GCA_001768675.1@MELN01000053=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_rbg_16_64_13 1 Actinobacteria_bacterium_13_2_20cm_68_14~GCA_001914705.1@MNDB01000040=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_13_2_20cm_68_14 1 0,9803 Thermoleophilum_album~GCF_900108055.1@NZ_FNWJ01000001=Bacteria-Actinobacteria-Thermoleophilia-Thermoleophilales-Thermoleophilaceae-Thermoleophilum-Thermoleophilum_album -
Bridging the Gap Between Genomics- and Metabolomics-Based Perspectives of Myxobacterial Secondary Metabolite Production Capabili
Bridging the gap between genomics - and metabolomics - based perspectives of myxobacterial secondary metabolite production capability Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich - T echnischen Fakultät der Universität des Saarlandes. von Fabian Panter Saarbrücken 2018 2 Tag des Kolloquiums: 01.04.2019 Dekan : Prof. Dr. Guido Kickelbick Berichterstatter: Prof. Dr. Rolf Müller Prof. Dr. Christian Ducho Prof. Dr. Tobias Gulder Vorsitz: Prof. Dr. Uli Kazmaier Akad. Mitarbeiter : Dr. Judith Becker 3 Diese Arbeit entstand unter der Anleitung von Prof. Dr. Rolf Müller am Institut für Pharmazeutische Biotechnologie der Naturwissenschaftlich - Technischen Fakultät der Universität des Saarlandes von Dezember 2014 bis November 2018 . 4 Ο ἶ δα ο ὐ κ ε ἰ δώς Ich weiß, dass ich unwissend bin . entlehnt aus der Apologie des Sokrates, V olksgericht von Athen 399 v. Chr . 5 Danksagung Als erstes möchte ich mich bei meinem Doktorvater Prof. Dr. Rolf Müller für die Möglichkeit be danken , meine Dissertation in dieser Arbeitsgruppe durchzuführen. Das entgegengebrachte Vertrauen für die Bearbeitung anspruchsvoller Themen im Bereich des bakteriellen Sekundärstoffwechsels und die immerwährende Unterstützung im Rahmen wissenschaftlicher Diskus sionen waren sehr hilfreich und motivierend. Zudem möchte ich mich bei Prof. Dr. Christian Ducho für die Annahme des Co - Referats und Unterstützung als wissenschaftlicher Begleiter bedanken. Zudem möchte ich mich bei meinem Betreuer Dr. Daniel Krug für die tatkräftige Unterstützung meiner Dissertation, durch wissenschaftliche Diskussionen und innovative Lösungsansätze für Probleme meiner Doktorarbeit, sowie für kritische Überarbeitung meiner Manuskripte bedanken. Darüber hinaus möchte ich mich bei allen beda nken die mir in den vergangenen fast 4 Jahren mit Rat und Tat zur Seite standen und es mir ermöglichten in sehr vielen Bereichen der Naturstoffforschung dazu zu lernen. -
Investigating the Antimicrobial, Anti-Biofilm and Anti-Quorum Sensing Potential of South African Seaweed-Associated Bacteria
INVESTIGATING THE ANTIMICROBIAL, ANTI-BIOFILM AND ANTI-QUORUM SENSING POTENTIAL OF SOUTH AFRICAN SEAWEED-ASSOCIATED BACTERIA Prinsloo Xolisa Phiri Thesis presented in partial fulfillment of the degree of Master of Science at University of KwaZulu-Natal (Westville Campus) Supervisor: Dr. Hafizah Y. Chenia Co-supervisor: Dr Mary-Jane Chimuka January 2017 College of Agriculture, Engineering and Science DECLARATION - PLAGIARISM I, Prinsloo Xolisa Phiri, declare that: 1. The research reported in this thesis, except where otherwise indicated, is my original research. 2. This thesis has not been submitted for any degree or examination at any other university. 3. This thesis does not contain other persons’ data, pictures, graphs or other information, unless specifically acknowledged as being sourced from other persons. 4. This thesis does not contain other persons' writing, unless specifically acknowledged as being sourced from other researchers. Where other written sources have been quoted, then: a. Their words have been re-written but the general information attributed to them has been referenced b. Where their exact words have been used, then their writing has been placed in italics and inside quotation marks, and referenced. 5. This thesis does not contain text, graphics or tables copied and pasted from the Internet, unless specifically acknowledged, and the source being detailed in the thesis and in the References sections. Signed ……………… i DECLARATION I, the undersigned, hereby declare that the work contained in this thesis is my own, unaided work. It has been submitted for the degree Master of Science to the College of Agriculture, Engineering and Science, School of Life Sciences, Discipline of Microbiology at the University of KwaZulu-Natal, Durban, South Africa. -
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 -
Table S5. the Information of the Bacteria Annotated in the Soil Community at Species Level
Table S5. The information of the bacteria annotated in the soil community at species level No. Phylum Class Order Family Genus Species The number of contigs Abundance(%) 1 Firmicutes Bacilli Bacillales Bacillaceae Bacillus Bacillus cereus 1749 5.145782459 2 Bacteroidetes Cytophagia Cytophagales Hymenobacteraceae Hymenobacter Hymenobacter sedentarius 1538 4.52499338 3 Gemmatimonadetes Gemmatimonadetes Gemmatimonadales Gemmatimonadaceae Gemmatirosa Gemmatirosa kalamazoonesis 1020 3.000970902 4 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas indica 797 2.344876284 5 Firmicutes Bacilli Lactobacillales Streptococcaceae Lactococcus Lactococcus piscium 542 1.594633558 6 Actinobacteria Thermoleophilia Solirubrobacterales Conexibacteraceae Conexibacter Conexibacter woesei 471 1.385742446 7 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas taxi 430 1.265115184 8 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas wittichii 388 1.141545794 9 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas sp. FARSPH 298 0.876754244 10 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sorangium cellulosum 260 0.764953367 11 Proteobacteria Deltaproteobacteria Myxococcales Polyangiaceae Sorangium Sphingomonas sp. Cra20 260 0.764953367 12 Proteobacteria Alphaproteobacteria Sphingomonadales Sphingomonadaceae Sphingomonas Sphingomonas panacis 252 0.741416341 -
B6038927fab52adf363dba598a6
Hindawi Archaea Volume 2018, Article ID 9319345, 12 pages https://doi.org/10.1155/2018/9319345 Research Article Variation of Bacterial and Archaeal Community Structures in a Full-Scale Constructed Wetlands for Wastewater Treatment Xiu-lu Lang, Xiang Chen , Ai-ling Xu, Zhi-wen Song , Xin Wang, and He-bing Wang School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, China Correspondence should be addressed to Zhi-wen Song; [email protected] Received 4 May 2018; Accepted 22 July 2018; Published 16 October 2018 Academic Editor: Jin Li Copyright © 2018 Xiu-lu Lang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Microorganisms play important roles in the reduction of organic and inorganic pollutants in constructed wetlands used for the treatment of wastewater. However, the diversity and structure of microbial community in constructed wetland system remain poorly known. In this study, the Illumina MiSeq Sequencing of 16S rDNA was used to analyze the bacterial and archaeal microbial community structures of soil and water in a free surface flow constructed wetland, and the differences of bacterial communities and archaeal compositions between soil and water were compared. The results showed that the Proteobacteria were the dominant bacteria, making up 35.38%~48.66% relative abundance. Euryarchaeotic were the absolute dominant archaea in the influent sample with the relative abundance of 93.29%, while Thaumarchaeota showed dominance in the other three samples, making up 50.58%~75.70%. -
Polyphasic Taxonomy Leading to the Proposal of Moraxella Canis Sp. Nov
INTERNATIONALJOURNAL OF SYSTEMATICBACTERIOLOGY, July 1993, p. 438-449 Vol. 43, No. 3 0020-7713/93/030438-12$02.00/0 Copyright 0 1993, International Union of Microbiological Societies Polyphasic Taxonomy Leading to the Proposal of Moraxella canis sp. nov. for Moraxella catawhalis-Like Strains GEERT JANNES,' MARIO VANEECHOU'TTE,2 MARTINE LA"O0,3 MONIQUE GILLIS,3 MARC VANCANNEYT,3 PETER VANDAMME,3 GERDA VERSCHRAEGEN,2 HUGO VAN HEUVERSWYN,l AND RUDI ROSSAU1* Innogenetics N.I?, Industriepark Zwijnaarde 7, Box 4, B-9052 Ghent, ' and Department of Medical Microbiology, Universitair Ziekenhuis, and Laboratorium voor Microbiologie, University of Ghent, B-9000 Ghent, Belgium The taxonomic position of a group of 16 Moruxellu catamhulk-like strains, isolated mainly from dogs, was examined by using morphological tests, biochemical tests, serology, ribotyping with oligonucleotide probes, polymerase chain reaction typing of the 16s rRNA gene and the 16s-23s rRNA gene spacer region, polyacrylamide gel electrophoresis of total proteins, fatty acid profiles, moles percent G+C, dot spot and in-solution DNA-DNA hybridizations, and DNA-rRNA hybridizations. It was found that these organisms constitute a distinct cluster within the genus Moraxelca. Since they differ genotypically as well as phenotypically from previously described Moraxeh species, a new species, Moruxella canis, is proposed to accommodate these isolates. The type strain is LMG 11194 (= N7 = CCUG 8415A). During the testing of the specificity and reliability of DNA selected on the basis of different criteria. Strain ATCC 25238 probes for the detection of Moraxella catarrhalis, some is the type strain. Strains D6, J9, and W3 are lipopolysac- strains presumptively identified as M. -
Fish Bacterial Flora Identification Via Rapid Cellular Fatty Acid Analysis
Fish bacterial flora identification via rapid cellular fatty acid analysis Item Type Thesis Authors Morey, Amit Download date 09/10/2021 08:41:29 Link to Item http://hdl.handle.net/11122/4939 FISH BACTERIAL FLORA IDENTIFICATION VIA RAPID CELLULAR FATTY ACID ANALYSIS By Amit Morey /V RECOMMENDED: $ Advisory Committe/ Chair < r Head, Interdisciplinary iProgram in Seafood Science and Nutrition /-■ x ? APPROVED: Dean, SchooLof Fisheries and Ocfcan Sciences de3n of the Graduate School Date FISH BACTERIAL FLORA IDENTIFICATION VIA RAPID CELLULAR FATTY ACID ANALYSIS A THESIS Presented to the Faculty of the University of Alaska Fairbanks in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE By Amit Morey, M.F.Sc. Fairbanks, Alaska h r A Q t ■ ^% 0 /v AlA s ((0 August 2007 ^>c0^b Abstract Seafood quality can be assessed by determining the bacterial load and flora composition, although classical taxonomic methods are time-consuming and subjective to interpretation bias. A two-prong approach was used to assess a commercially available microbial identification system: confirmation of known cultures and fish spoilage experiments to isolate unknowns for identification. Bacterial isolates from the Fishery Industrial Technology Center Culture Collection (FITCCC) and the American Type Culture Collection (ATCC) were used to test the identification ability of the Sherlock Microbial Identification System (MIS). Twelve ATCC and 21 FITCCC strains were identified to species with the exception of Pseudomonas fluorescens and P. putida which could not be distinguished by cellular fatty acid analysis. The bacterial flora changes that occurred in iced Alaska pink salmon ( Oncorhynchus gorbuscha) were determined by the rapid method. -
In Situ Relationships Between Microbiota and Potential Pathobiota in Arabidopsis Thaliana
bioRxiv preprint doi: https://doi.org/10.1101/261602; this version posted February 7, 2018. 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 In situ relationships between microbiota and potential pathobiota in Arabidopsis thaliana 2 Claudia Bartoli1¶, Léa Frachon1¶, Matthieu Barret2, Mylène Rigal1, Carine Huard-Chauveau1, 3 Baptiste Mayjonade1, Catherine Zanchetta3, Olivier Bouchez3, Dominique Roby1, Sébastien 4 Carrère1, Fabrice Roux1* 5 6 Affiliations: 7 1 LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France 8 2 IRHS, INRA, AGROCAMPUS-Ouest, Université d’Angers, SFR4207 QUASAV, 42, rue 9 Georges Morel, 49071 Beaucouzé, France 10 3 INRA, GeT-PlaGe, Genotoul, Castanet-Tolosan, France 11 ¶These authors contributed equally to this work. 12 13 Corresponding author: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/261602; this version posted February 7, 2018. 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. 14 ABSTRACT 15 A current challenge in microbial pathogenesis is to identify biological control agents that may 16 prevent and/or limit host invasion by microbial pathogens. In natura, hosts are often infected 17 by multiple pathogens. However, most of the current studies have been performed under 18 laboratory controlled conditions and by taking into account the interaction between a single 19 commensal species and a single pathogenic species. -
The Pennsylvania State University
SCHREYER HONORS COLLEGE DEPARTMENT OF VETERINARY AND BIOMEDICAL SCIENCES CHARACTERIZATION OF THE NASAL BACTERIAL MICROFLORA OF HOUSEHOLD DOGS MARGARET ZEMANEK SPRING 2019 A thesis submitted in partial fulfillment of the requirements for a baccalaureate degree in Veterinary and Biomedical Sciences with honors in Veterinary and Biomedical Sciences Reviewed and approved* by the following: Bhushan Jayarao Professor of Veterinary and Biomedical Sciences Resident Director, Penn State Animal Diagnostic Laboratory Thesis Supervisor Lester Griel Jr. Professor Emeritus of Veterinary Sciences Honors Adviser * Signatures are on file in the Schreyer Honors College. i ABSTRACT In this study, the bacterial microflora in the nasal cavity of healthy dogs and their resistance to antimicrobials was determined. Identification of bacterial isolates was done using MALDI-TOF MS (matrix-assisted laser desorption/ionization time-of-flight mass spectrometer) and the results compared to 16S rRNA sequence analysis. A total of 203 isolates were recovered from the nasal passages of 63 dogs. The 203 isolates belonged to 58 bacterial species. The predominant genera were Streptococcus and Staphylococcus, followed by Corynebacterium, Rothia, and Carnobacterium. The species most commonly isolated were Streptococcus pluranimalium and Staphylococcus pseudointermedius, followed by Rothia nasimurium, Carnobacterium inhibens, and Staphylococcus epidermidis. Many of the other bacterial species were infrequently isolated from nasal passages, accounting for one or two dogs in the study. MALDI-TOF identified certain groups of bacteria, specifically non-spore-forming, catalase- positive, gram-positive cocci, but was less reliable in identifying non-spore-forming, catalase- negative, gram-positive rods. This study showed that MALDI-TOF can be used for identifying “clinically relevant” bacteria, but many times failed to identify less important species. -
Identify the Core Bacterial Microbiome of Hydrocarbon Degradation and A
Identify the core bacterial microbiome of hydrocarbon degradation and a shift of dominant methanogenesis pathways in oil and aqueous phases of petroleum reservoirs with different temperatures from China Zhichao Zhou1, Bo Liang2, Li-Ying Wang2, Jin-Feng Liu2, Bo-Zhong Mu2, Hojae Shim3, and Ji-Dong Gu1,* 1 Laboratory of Environmental Microbiology and Toxicology, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, Hong Kong, People’s Republic of China 2 State Key Laboratory of Bioreactor Engineering and Institute of Applied Chemistry, East China University of Science and Technology, Shanghai 200237, People’s Republic of China 3 Faculty of Science and Technology, University of Macau, Macau, People’s Republic of China *Correspondence to: Ji-Dong Gu ([email protected]) 1 Supplementary Data 1.1 Characterization of geographic properties of sampling reservoirs Petroleum fluids samples were collected from eight sampling sites across China covering oilfields of different geological properties. The reservoir and crude oil properties together with the aqueous phase chemical concentration characteristics were listed in Table 1. P1 represents the sample collected from Zhan3-26 well located in Shengli Oilfield. Zhan3 block region in Shengli Oilfield is located in the coastal area from the Yellow River Estuary to the Bohai Sea. It is a medium-high temperature reservoir of fluvial face, made of a thin layer of crossed sand-mudstones, pebbled sandstones and fine sandstones. P2 represents the sample collected from Ba-51 well, which is located in Bayindulan reservoir layer of Erlian Basin, east Inner Mongolia Autonomous Region. It is a reservoir with highly heterogeneous layers, high crude oil viscosity and low formation fluid temperature.