Health and Disease Gastrointestinal Microbial Population of Turkey
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Phylogenetic Analysis of the Gut Bacterial Microflora of the Fungus-Growing Termite Macrotermes Barneyi
African Journal of Microbiology Research Vol. 6(9), pp. 2071-2078, 9 March, 2012 Available online at http://www.academicjournals.org/AJMR DOI: 10.5897/AJMR11.1345 ISSN 1996-0808 ©2012 Academic Journals Full Length Research Paper Phylogenetic analysis of the gut bacterial microflora of the fungus-growing termite Macrotermes barneyi Yunhua Zhu1,2,3, Jian Li1,2, Huhu Liu1,2, Hui Yang1,2, Sheng Xin1,2, Fei Zhao1,2, Xuejia Zhang1,2, Yun Tian1,2* and Xiangyang Lu1,2* 1College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China. 2Hunan Agricultural Bioengineering Research Institute, Changsha 410128, China. 3College of Pharmacy and Life Science, Nanhua University, Hengyang 421001, China. Accepted 29 December, 2011 Termites are an extremely successful group of wood-degrading organisms and are therefore important both for their roles in carbon turnover in the environment and as potential sources of biochemical catalysts for efforts aimed at converting wood into biofuels. To contribute to the evolutional study of termite digestive symbiosis, a bacterial 16S rRNA gene clone library from the gut microbial community of the fungus-growing termite Macrotermes barneyi was constructed. After screening by restriction fragment length polymorphism (RFLP) analysis, 25 out of 105 clones with unique RFLP patters were sequenced and phylogenetically analyzed. Many of the clones (95%) were derived from three phyla within the domain bacteria: Bacteroidetes, Firmicutes and Proteobacteria. In addition, a few clones derived from Deferribacteres, Actinobacteria and Planctomycetes were also found. No one clone affiliated with the phylum Spirochaetes was identified, in contrast to the case of wood-feeding termites. The phylogenetic analysis revealed that nearly half of the representative clones (11 phylotypes) formed monophyletic clusters with clones obtained from other termite species, especially with the sequences retrieved from fungus-growing termites. -
Microbial Study on Corrosion
AN INVESTIGATION OF MICROBIAL DIVERSITY AND MICROBIOLOGICALLY INFLUENCED CORROSION IN AUTOMOTIVE FUEL ENVIRONMENTS by Charles H.D. Williamson IV A thesis submitted to the Faculty and the Board of Trustees of the Colorado School of Mines in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Environmental Science and Engineering). Golden, Colorado Date ____________________________ Signed: ___________________________ _ Charles H.D. Williamson IV Signed: ____________________________ Dr. John R. Spear Thesis Advisor Golden, Colorado Date ____________________________ Signed: ____________________________ Dr. John McCray Professor and Director Department of Civil and Environmental Engineering ii ABSTRACT Microbial contamination of fuels can cause issues such as biofouling, fuel degradation and microbiologically influenced corrosion (MIC). The focus of the research presented in this thesis was characterizing the microbial diversity of automotive fuels and automotive fuel environments in the United States via both molecular-based techniques as well as cultivation- based methods in order to gain insight into how this diversity is impacting fuels and fuel system infrastructure. A field survey of fuels including biodiesel, diesel, E10, E85, fuel-grade ethanol and gasoline was conducted; and 454 pyrosequencing of both 16S/18S rRNA genes as well as 16S/18S rRNA (transcribed into cDNA) was applied to identify both total and active microbial communities in these environments. Microbial communities in all fuel types were broadly similar, and prevalent phylotypes included Halomonas spp., Pseudomonas spp., Shewanella spp., Corynebacterium spp. and Acetobacter spp. Pyrosequencing libraries generated from cDNA and DNA indicated that the active and total communities of the sampled environments show significant overlap. The microbial communities of storage tanks containing fuel-grade ethanol and water were also characterized by molecular and cultivation-based techniques. -
The RDP-II Backbone Tree for Release 8.0. the Tree Was Inferred from a Distance Matrix Generated in PAUP* with the Weighbor (Weighted Neighbor Joining) Algorithm
Methylococcus capsulatus ACM 1292 (T) Oceanospirillum linum ATCC 11336 (T) Halomonas halodenitrificans ATCC 13511 (T) Legionella lytica PCM 2298 (T) Francisella tularensis subsp. tularensis ATCC 6223 (T) Coxiella burnetii Q177 Moraxella catarrhalis ATCC 25238 (T) Pseudomonas fluorescens IAM 12022 (T) Piscirickettsia salmonis LF-89 (T) Thiothrix nivea DSM 5205 (T) Allochromatium minutissimum DSM 1376 (T) Alteromonas macleodii IAM 12920 (T) Aeromonas salmonicida subsp. smithia CCM 4103 (T) Pasteurella multocida NCTC 10322 (T) Enterobacter nimipressuralis LMG 10245 (T) Vibrio vulnificus ATCC 27562 (T) Ectothiorhodospira mobilis DSM237 (T) Xanthomonas campestris LMG 568 (T) Cardiobacterium hominis ATCC 15826 (T) Methylophilus methylotrophus ATCC 53528 (T) Rhodocyclus tenuis DSM 109 (T) Hydrogenophilus thermoluteolus TH-1 (T) Neisseria gonorrhoeae NCTC 8375 (T) Comamonas testosteroni ATCC 11996 (T) Nitrosospira multiformis ATCC 25196 (T) Spirillum volutans ATCC 19554 (T) Burkholderia glathei LMG 14190 (T) Alcaligenes defragrans DSM 12141 (T) Oxalobacter formigenes ATCC 35274 (T) Acetobacter oboediens DSM 11826 (T) clone CS93 PROTEOBACTERIA Caedibacter caryophilus 221 (T) Rhodobacter sphaeroides ATCC 17023 (T) Rickettsia rickettsii ATCC VR-891 (T) Ehrlichia risticii ATCC VR-986 (T) Sphingomonas paucimobilis GIFU 2395 (T) Caulobacter fusiformis ATCC 15257 (T) Rhodospirillum rubrum ATCC 11170 (T) Brucella melitensis ATCC 23459 (T) Rhizobium tropici IFO 15247 (T) Bartonella vinsonii subsp. vinsonii ATCC VR-152 (T) Phyllobacterium myrsinacearum -
Which Organisms Are Used for Anti-Biofouling Studies
Table S1. Semi-systematic review raw data answering: Which organisms are used for anti-biofouling studies? Antifoulant Method Organism(s) Model Bacteria Type of Biofilm Source (Y if mentioned) Detection Method composite membranes E. coli ATCC25922 Y LIVE/DEAD baclight [1] stain S. aureus ATCC255923 composite membranes E. coli ATCC25922 Y colony counting [2] S. aureus RSKK 1009 graphene oxide Saccharomycetes colony counting [3] methyl p-hydroxybenzoate L. monocytogenes [4] potassium sorbate P. putida Y. enterocolitica A. hydrophila composite membranes E. coli Y FESEM [5] (unspecified/unique sample type) S. aureus (unspecified/unique sample type) K. pneumonia ATCC13883 P. aeruginosa BAA-1744 composite membranes E. coli Y SEM [6] (unspecified/unique sample type) S. aureus (unspecified/unique sample type) graphene oxide E. coli ATCC25922 Y colony counting [7] S. aureus ATCC9144 P. aeruginosa ATCCPAO1 composite membranes E. coli Y measuring flux [8] (unspecified/unique sample type) graphene oxide E. coli Y colony counting [9] (unspecified/unique SEM sample type) LIVE/DEAD baclight S. aureus stain (unspecified/unique sample type) modified membrane P. aeruginosa P60 Y DAPI [10] Bacillus sp. G-84 LIVE/DEAD baclight stain bacteriophages E. coli (K12) Y measuring flux [11] ATCC11303-B4 quorum quenching P. aeruginosa KCTC LIVE/DEAD baclight [12] 2513 stain modified membrane E. coli colony counting [13] (unspecified/unique colony counting sample type) measuring flux S. aureus (unspecified/unique sample type) modified membrane E. coli BW26437 Y measuring flux [14] graphene oxide Klebsiella colony counting [15] (unspecified/unique sample type) P. aeruginosa (unspecified/unique sample type) graphene oxide P. aeruginosa measuring flux [16] (unspecified/unique sample type) composite membranes E. -
Inhibition of Tumor Growth by Dietary Indole-3-Carbinol in a Prostate Cancer Xenograft Model May Be Associated with Disrupted Gut Microbial Interactions
nutrients Article Inhibition of Tumor Growth by Dietary Indole-3-Carbinol in a Prostate Cancer Xenograft Model May Be Associated with Disrupted Gut Microbial Interactions Yanbei Wu 1,2,3, Robert W. Li 4, Haiqiu Huang 3 , Arnetta Fletcher 2,5, Lu Yu 2, Quynhchi Pham 3, Liangli Yu 2, Qiang He 1,* and Thomas T. Y. Wang 3,* 1 College of Light Industry, Textile and Food Engineering, Sichuan University, Chengdu 610065, China; [email protected] 2 Department of Nutrition and Food Science, University of Maryland, College Park, MD 20742, USA; afl[email protected] (A.F.); [email protected] (L.Y.); [email protected] (L.Y.) 3 Diet, Genomics, and Immunology Laboratory, Beltsville Human Nutrition Research Center, USDA-ARS, Beltsville, MD 20705, USA; [email protected] (H.H.); [email protected] (Q.P.) 4 Animal Parasitic Diseases Laboratory, USDA-ARS, Beltsville, MD 20705, USA; [email protected] 5 Department of Family and Consumer Sciences, Shepherd University, Shepherdstown, WV 25443, USA * Correspondence: [email protected] (Q.H.); [email protected] (T.T.Y.W.); Tel.: +86-28-85468323 (Q.H.); +(301)-504-8459 (T.T.Y.W.) Received: 2 January 2019; Accepted: 19 February 2019; Published: 22 February 2019 Abstract: Accumulated evidence suggests that the cruciferous vegetables-derived compound indole-3-carbinol (I3C) may protect against prostate cancer, but the precise mechanisms underlying its action remain unclear. This study aimed to verify the hypothesis that the beneficial effect of dietary I3C may be due to its modulatory effect on the gut microbiome of mice. Athymic nude mice (5–7 weeks old, male, Balb c/c nu/nu) with established tumor xenografts were fed a basal diet (AIN-93) with or without 1 µmoles I3C/g for 9 weeks. -
Exploring the Role of Mucispirillum Schaedleri in Enteric Salmonella Enterica Serovar Typhimurium Infection
Aus dem Max von Pettenkofer-Institut Lehrstuhl für Medizinische Mikrobiologie und Krankenhaushygiene der Ludwig-Maximilians-Universität München Vorstand: Prof. Dr. med. Sebastian Suerbaum Exploring the role of Mucispirillum schaedleri in enteric Salmonella enterica serovar Typhimurium infection Dissertation zum Erwerb des Doktorgrades der Naturwissenschaften an der Medizinischen Fakultät der Ludwig-Maximilians-Universität München vorgelegt von Simone Herp aus Offenburg 2018 Gedruckt mit Genehmigung der Medizinischen Fakultät der Ludwig-Maximilians-Universität München Betreuerin: Prof. Dr. Barbara Stecher-Letsch Zweitgutachterin: Prof. Dr. Gabriele Rieder Dekan: Prof. Dr. med. dent. Reinhard Hickel Tag der mündlichen Prüfung: 19.02.2019 i Eidesstattliche Erklärung Ich, Simone Herp, erkläre hiermit an Eides statt, dass ich die vorliegende Dissertation mit dem Thema: Exploring the role of Mucispirillum schaedleri in enteric Salmonella enterica serovar Typhimurium infection selbständig verfasst, mich außer der angegebenen keiner weiteren Hilfsmittel bedient und alle Erkenntnisse, die aus dem Schrifttum ganz oder annähernd übernommen sind, als solche kenntlich gemacht und nach ihrer Herkunft unter Bezeichnung der Fundstelle einzeln nachgewiesen habe. Ich erkläre des Weiteren, dass die hier vorgelegte Dissertation nicht in gleicher oder in ähnlicher Form bei einer anderen Stelle zur Erlangung eines akademischen Grades eingereicht wurde. München, den 07.03.2019 Simone Herp ii Table of Contents Table of Contents Table of Contents ....................................................................................................................... -
Microbial Diversity in Long-Term Water-Flooded Oil Reservoirs with Different in Situ Temperatures in China
Microbial diversity in long-term water-flooded oil reservoirs with different SUBJECT AREAS: BIODIVERSITY in situ temperatures in China MICROBIOLOGY Fan Zhang1, Yue-Hui She2,3, Lu-Jun Chai1, Ibrahim M. Banat4, Xiao-Tao Zhang1, Fu-Chang Shu2, ECOLOGY Zheng-Liang Wang2, Long-Jiang Yu3 & Du-Jie Hou1 ENVIRONMENTAL SCIENCES 1The Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation Mechanism, Ministry of Education, China; Received School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, China, 2College of Chemistry and 1 August 2012 Environmental Engineering, Yangtze University, Jingzhou, Hubei 434023, China, 3College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430079, China, 4School of Biomedical Sciences, University of Ulster, Accepted Coleraine, BT52 1SA, N. Ireland, UK. 27 September 2012 Published Water-flooded oil reservoirs have specific ecological environments due to continual water injection and oil 23 October 2012 production and water recycling. Using 16S rRNA gene clone library analysis, the microbial communities present in injected waters and produced waters from four typical water-flooded oil reservoirs with different in situ temperatures of 256C, 406C, 556C and 706C were examined. The results obtained showed that the Correspondence and higher the in situ temperatures of the oil reservoirs is, the less the effects of microorganisms in the injected requests for materials waters on microbial community compositions in the produced waters is. In addition, microbes inhabiting in the produced waters of the four water-flooded oil reservoirs were varied but all dominated by should be addressed to Proteobacteria. Moreover, most of the detected microbes were not identified as indigenous. -
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 -
Comparison of Gut Microbiota of 96 Healthy Dogs by Individual Traits: Breed, Age, and Body Condition Score
animals Article Comparison of Gut Microbiota of 96 Healthy Dogs by Individual Traits: Breed, Age, and Body Condition Score Inhwan You 1,2 and Min Jung Kim 1,2,* 1 Department of Research and Development, Mjbiogen Corp., 144 Gwangnaru-ro, Seongdong-gu, Seoul 14788, Korea; [email protected] 2 College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea * Correspondence: [email protected] Simple Summary: The gut microbial ecosystem is affected by various factors such as lifestyle, environment, and disease. Although gut microbiota is closely related to host health, an understanding of the gut microbiota of dogs is still lacking. Therefore, we investigated gut microbial composition in healthy dogs and divided them into groups according to their breed, age, or body condition score. From our results, age is the most crucial factor driving the gut microbial community of dogs compared to breed and body condition score (especially Fusobacterium perfoetens, which was much more abundant in the older group). We have revealed that even in healthy dogs without any diseases, there are differences in gut microbiota depending on individual traits. These results can be used as a basis for improving the quality of life by managing dogs’ gut microbiota. Abstract: Since dogs are part of many peoples’ lives, research and industry related to their health and longevity are becoming a rising topic. Although gut microbiota (GM) is a key contributor to Citation: You, I.; Kim, M.J. host health, limited information is available for canines. Therefore, this study characterized GM Comparison of Gut Microbiota of 96 according to individual signatures (e.g., breed, age, and body condition score—BCS) of dogs living Healthy Dogs by Individual Traits: in the same environment. -
The Influence of Sodium Chloride on the Performance of Gammarus Amphipods and the Community Composition of Microbes Associated with Leaf Detritus
THE INFLUENCE OF SODIUM CHLORIDE ON THE PERFORMANCE OF GAMMARUS AMPHIPODS AND THE COMMUNITY COMPOSITION OF MICROBES ASSOCIATED WITH LEAF DETRITUS By Shelby McIlheran Leaf litter decomposition is a fundamental part of the carbon cycle and helps support aquatic food webs along with being an important assessment of the health of rivers and streams. Disruptions in this organic matter breakdown can signal problems in other parts of ecosystems. One disruption is rising chloride concentrations. Chloride concentrations are increasing in many rivers worldwide due to anthropogenic sources that can harm biota and affect ecosystem processes. Elevated chloride concentrations can lead to lethal or sublethal impacts. While many studies have shown that excessive chloride uptake impacts health (e.g. lowered respiration and growth rates) in a wide variety of aquatic organisms including microbes and benthic invertebrates). The impacts of high chloride concentrations on decomposers are less well understood. My research objective was to assess how increasing chloride concentrations affect the performance and diversity of decomposer organisms in freshwater systems. I experimentally manipulated chloride concentrations in microcosms containing leaves colonized by microbes or containing leaves, microbes and amphipods. Respiration rate, decomposition, and community composition of the microbes were measured along with the amphipod growth rate, egestion rate, and mortality. Elevated chloride concentration did not impact microbial respiration rates or leaf decomposition, but had large impacts on bacteria community composition. It did cause a decrease in instantaneous growth rate, and 100% mortality in the highest amphipod chloride treatment, but amphipod egestion rate was not significantly affected. The results of my research suggest that the widespread increases in chloride concentrations in rivers will have an impact on decomposer communities in these systems. -
Antibus Revised Thesis 11-16 For
Molecular and Cultivation-based Characterization of Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica A thesis submitted to Kent State University in partial fulfillment of the requirements for the degree of Master of Science by Doug Antibus December, 2009 Thesis written by Doug Antibus B.S., Kent State University, 2007 M.S., Kent State University, 2009 Approved by Dr. Christopher B. Blackwood Advisor Dr. James L. Blank Chair, Department of Biological Sciences Dr. Timothy Moerland Dean, College of Arts and Sciences iii TABLE OF CONTENTS LIST OF TABLES………………………………………………………………………..iv LIST OF FIGURES ……………………………………………………………………...vi ACKNOWLEDGEMENTS…………………………………………………………......viii CHAPTER I: General Introduction……………………………………………………….1 CHAPTER II: Molecular Characterization of Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica: A Legacy of Genetic Diversity Introduction……………………………………………………………....22 Results and Discussion……………………………………………..……27 Methods…………………………………………………………………..51 Literature Cited…………………………………………………………..59 CHAPTER III: Recovery of Viable Bacteria from Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica Introduction………………………………………………..……………..78 Methods…………………………………………………………………..80 Results……………………………………………………………...…….88 Discussion…………………………………………………………...….106 Literature Cited………………………………………………………....109 CHAPTER IV: General Discussion…………………………………………………….120 iii LIST OF TABLES Chapter II: Molecular Characterization of Ancient Algal Mats from the McMurdo Dry Valleys, Antarctica: A Legacy of Genetic Diversity -
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;