Impact of Anaerobic Digestion and Centrifugation/Decanting Processes
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Laboratory Exercises in Microbiology: Discovering the Unseen World Through Hands-On Investigation
City University of New York (CUNY) CUNY Academic Works Open Educational Resources Queensborough Community College 2016 Laboratory Exercises in Microbiology: Discovering the Unseen World Through Hands-On Investigation Joan Petersen CUNY Queensborough Community College Susan McLaughlin CUNY Queensborough Community College How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/qb_oers/16 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] Laboratory Exercises in Microbiology: Discovering the Unseen World through Hands-On Investigation By Dr. Susan McLaughlin & Dr. Joan Petersen Queensborough Community College Laboratory Exercises in Microbiology: Discovering the Unseen World through Hands-On Investigation Table of Contents Preface………………………………………………………………………………………i Acknowledgments…………………………………………………………………………..ii Microbiology Lab Safety Instructions…………………………………………………...... iii Lab 1. Introduction to Microscopy and Diversity of Cell Types……………………......... 1 Lab 2. Introduction to Aseptic Techniques and Growth Media………………………...... 19 Lab 3. Preparation of Bacterial Smears and Introduction to Staining…………………...... 37 Lab 4. Acid fast and Endospore Staining……………………………………………......... 49 Lab 5. Metabolic Activities of Bacteria…………………………………………….…....... 59 Lab 6. Dichotomous Keys……………………………………………………………......... 77 Lab 7. The Effect of Physical Factors on Microbial Growth……………………………... 85 Lab 8. Chemical Control of Microbial Growth—Disinfectants and Antibiotics…………. 99 Lab 9. The Microbiology of Milk and Food………………………………………………. 111 Lab 10. The Eukaryotes………………………………………………………………........ 123 Lab 11. Clinical Microbiology I; Anaerobic pathogens; Vectors of Infectious Disease….. 141 Lab 12. Clinical Microbiology II—Immunology and the Biolog System………………… 153 Lab 13. Putting it all Together: Case Studies in Microbiology…………………………… 163 Appendix I. -
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 -
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 % -
Phylogenomic Analysis of 589 Metagenome-Assembled Genomes Encompassing All Major Prokaryotic Lineages from the Gut of Higher Termites
Phylogenomic analysis of 589 metagenome-assembled genomes encompassing all major prokaryotic lineages from the gut of higher termites Vincent Hervé1, Pengfei Liu1, Carsten Dietrich1, David Sillam-Dussès2, Petr Stiblik3, Jan Šobotník3 and Andreas Brune1 1 Research Group Insect Gut Microbiology and Symbiosis, Max Planck Institute for Terrestrial Microbiology, Marburg, Germany 2 Laboratory of Experimental and Comparative Ethology EA 4443, Université Paris 13, Villetaneuse, France 3 Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic ABSTRACT “Higher” termites have been able to colonize all tropical and subtropical regions because of their ability to digest lignocellulose with the aid of their prokaryotic gut microbiota. Over the last decade, numerous studies based on 16S rRNA gene amplicon libraries have largely described both the taxonomy and structure of the prokaryotic communities associated with termite guts. Host diet and microenvironmental conditions have emerged as the main factors structuring the microbial assemblages in the different gut compartments. Additionally, these molecular inventories have revealed the existence of termite-specific clusters that indicate coevolutionary processes in numerous prokaryotic lineages. However, for lack of representative isolates, the functional role of most lineages remains unclear. We reconstructed 589 metagenome-assembled genomes (MAGs) from the different Submitted 29 August 2019 gut compartments of eight higher termite species that encompass 17 prokaryotic -
Modulation of the Gut Microbiota Alters the Tumour-Suppressive Efficacy of Tim-3 Pathway Blockade in a Bacterial Species- and Host Factor-Dependent Manner
microorganisms Article Modulation of the Gut Microbiota Alters the Tumour-Suppressive Efficacy of Tim-3 Pathway Blockade in a Bacterial Species- and Host Factor-Dependent Manner Bokyoung Lee 1,2, Jieun Lee 1,2, Min-Yeong Woo 1,2, Mi Jin Lee 1, Ho-Joon Shin 1,2, Kyongmin Kim 1,2 and Sun Park 1,2,* 1 Department of Microbiology, Ajou University School of Medicine, Youngtongku Wonchondong San 5, Suwon 442-749, Korea; [email protected] (B.L.); [email protected] (J.L.); [email protected] (M.-Y.W.); [email protected] (M.J.L.); [email protected] (H.-J.S.); [email protected] (K.K.) 2 Department of Biomedical Sciences, The Graduate School, Ajou University, Youngtongku Wonchondong San 5, Suwon 442-749, Korea * Correspondence: [email protected]; Tel.: +82-31-219-5070 Received: 22 August 2020; Accepted: 9 September 2020; Published: 11 September 2020 Abstract: T cell immunoglobulin and mucin domain-containing protein-3 (Tim-3) is an immune checkpoint molecule and a target for anti-cancer therapy. In this study, we examined whether gut microbiota manipulation altered the anti-tumour efficacy of Tim-3 blockade. The gut microbiota of mice was manipulated through the administration of antibiotics and oral gavage of bacteria. Alterations in the gut microbiome were analysed by 16S rRNA gene sequencing. Gut dysbiosis triggered by antibiotics attenuated the anti-tumour efficacy of Tim-3 blockade in both C57BL/6 and BALB/c mice. Anti-tumour efficacy was restored following oral gavage of faecal bacteria even as antibiotic administration continued. In the case of oral gavage of Enterococcus hirae or Lactobacillus johnsonii, transferred bacterial species and host mouse strain were critical determinants of the anti-tumour efficacy of Tim-3 blockade. -
EXTREMOPHILES – Vol
EXTREMOPHILES – Vol. I - Extremophiles: Basic Concepts - Charles Gerday EXTREMOPHILES: BASIC CONCEPTS Charles Gerday Laboratory of Biochemistry, University of Liège, Belgium Keywords: extremophiles, thermophiles, halophiles, alkaliphiles, acidophiles, metallophiles, barophiles, psychrophiles, piezophiles, extreme conditions Contents 1. Introduction 2. Effects of Extreme Conditions on Cellular Components 2.1. Membrane Structure 2.2. Nucleic Acids 2.2.1. Introduction 2.2.2. Desoxyribonucleic Acids 2.2.3. Ribonucleic Acids 2.3. Proteins 2.3.1. Introduction 2.3.2. Thermophilic Proteins 2.3.3. Psychrophilic Proteins 2.3.4. Halophilic Proteins 2.3.5. Piezophilic Proteins 2.3.6. Alkaliphilic Proteins 2.3.7. Acidophilic Proteins 3. Conclusions Acknowledgments Glossary Bibliography Biographical Sketch Summary Extremophiles are organisms which permanently experience environmental conditions which mayUNESCO be considered as extreme –in comparisonEOLSS to the physico-chemical characteristics of the normal environment of human cells: the latter belonging to the mesophile or temperate world. Some eukaryotic organisms such as fishes, invertebrates, yeasts, fungi, and plants have partially colonized extreme habitats characterized by low temperature and/orSAMPLE of elevated hydrostatic pressure. CHAPTERS In general, however, the organisms capable of thriving at the limits of temperature, pH, salt concentration and hydrostatic pressure, are prokaryotic. In fact, some organisms depend on these extreme conditions for survival and have therefore developed unique adaptations, especially at the level of their membranes and macromolecules, and affecting proteins and nucleic acids in particular. The molecular bases of the various adaptations are beginning to be understood and are briefly described. The study of the extremophile world has contributed greatly to defining, in more precise terms, fundamental concepts such as macromolecule stability and protein folding. -
Microbial Diversity Course 2005 Attempt to Cultivate Mesophile
Microbial Diversity course 2005 Attempt to cultivate mesophile Archaea from marine sediments Lois MAIGNIEN Ghent University Introduction The diversity and ecology of the Archaea domain remains a very intriguing question and a promising field of research. Indeed, it has fisrt been observed that Archaea were thriving in very limited ecological niches, often associated with extreme temperature, salt concentration, or low pH. Methanogens, though very successful in mesophilic anaerobic environments, don’t display the same variety of energy metabolisms as most bacteria. Their growth is restricted to strict anaerobic environments; their substrate range is limited to CO2/H2, acetate and a few methylated compounds. Alternative energy metabolism such as anaerobic respiration (some halophiles and crenarchaeota) using a wide range of terminal electron acceptor such as nitrate (pyrobaculum, pyrococcus), iron III (pyrodictium), sulphate (Archaeoglobus), elemental sulfur (Ignicoccus) or aerobic respiration on sulfur or oxygen are all present in this domain. Some archaea are also able to carry fermentation and even thrive on light energy through the use of bacteriorhodopsin (Halobacterium). Thus, archaea possess in theory high diversity of energy metabolism. So why archaeal cells would display and use this metabolic diversity only in extreme environments? However, several clue from molecular surveys, especially in marine environment, such as 16s clone library and fosmid cloning and sequencing show that Archaea are much more widespread than previously thought, even in mesophilic environments. The main problem that prevent further understanding of their metabolism and environmental contribution have been the inability to cultivate them. An increasing interest for this environmental microbiology mystery, growing number of cultivation attempts, new cultivation methods, and valuable information from metagenomics should progressively reveal the environmental diversity of mesophilic Archaea and provide a better understanding of their contribution to various environments. -
EXPERIMENTAL STUDIES on FERMENTATIVE FIRMICUTES from ANOXIC ENVIRONMENTS: ISOLATION, EVOLUTION, and THEIR GEOCHEMICAL IMPACTS By
EXPERIMENTAL STUDIES ON FERMENTATIVE FIRMICUTES FROM ANOXIC ENVIRONMENTS: ISOLATION, EVOLUTION, AND THEIR GEOCHEMICAL IMPACTS By JESSICA KEE EUN CHOI A dissertation submitted to the School of Graduate Studies Rutgers, The State University of New Jersey In partial fulfillment of the requirements For the degree of Doctor of Philosophy Graduate Program in Microbial Biology Written under the direction of Nathan Yee And approved by _______________________________________________________ _______________________________________________________ _______________________________________________________ _______________________________________________________ New Brunswick, New Jersey October 2017 ABSTRACT OF THE DISSERTATION Experimental studies on fermentative Firmicutes from anoxic environments: isolation, evolution and their geochemical impacts by JESSICA KEE EUN CHOI Dissertation director: Nathan Yee Fermentative microorganisms from the bacterial phylum Firmicutes are quite ubiquitous in subsurface environments and play an important biogeochemical role. For instance, fermenters have the ability to take complex molecules and break them into simpler compounds that serve as growth substrates for other organisms. The research presented here focuses on two groups of fermentative Firmicutes, one from the genus Clostridium and the other from the class Negativicutes. Clostridium species are well-known fermenters. Laboratory studies done so far have also displayed the capability to reduce Fe(III), yet the mechanism of this activity has not been investigated -
Microbiologically Contaminated and Over-Preserved Cosmetic Products According Rapex 2008–2014
cosmetics Article Microbiologically Contaminated and Over-Preserved Cosmetic Products According Rapex 2008–2014 Edlira Neza * and Marisanna Centini Department of Biotechnologies, Chemistry and Pharmacy, University of Siena, Via Aldo Moro 2, Siena 53100, Italy; [email protected] * Correspondence: [email protected]; Tel.: +355-685-038-408 Academic Editors: Lidia Sautebin and Immacolata Caputo Received: 25 December 2015; Accepted: 25 January 2016; Published: 30 January 2016 Abstract: We investigated the Rapid Alert System (RAPEX) database from January 2008 until week 26 of 2014 to give information to consumers about microbiologically contaminated cosmetics and over-preserved cosmetic products. Chemical risk was the leading cause of the recalls (87.47%). Sixty-two cosmetic products (11.76%) were recalled because they were contaminated with pathogenic or potentially pathogenic microorganisms. Pseudomonas aeruginosa was the most frequently found microorganism. Other microorganisms found were: Mesophilic aerobic microorganisms, Staphylococcus aureus, Candida albicans, Enterococcus spp., Enterobacter cloacae, Enterococcus faecium, Enterobacter gergoviae, Rhizobium radiobacter, Burkholderia cepacia, Serratia marcescens, Achromabacter xylosoxidans, Klebsiella oxytoca, Bacillus firmus, Pantoea agglomerans, Pseudomonas putida, Klebsiella pneumoniae and Citrobacter freundii. Nine cosmetic products were recalled because they contained methylisothiazolinone (0.025%–0.36%), benzalkonium chloride (1%), triclosan (0.4%) in concentrations higher than the limits allowed by European Regulation 1223/2009. Fifteen products were recalled for the presence of methyldibromo glutaronitrile, a preservative banned for use in cosmetics. Thirty-two hair treatment products were recalled because they contained high concentrations of formaldehyde (0.3%–25%). Keywords: microbiologically contaminated; over-preserved cosmetics; formaldehyde; RAPEX 1. Introduction The European Commission (EC) has an early warning system for safety management called the Rapid Alert System (RAPEX). -
Metabolic Network Percolation Quantifies Biosynthetic Capabilities
RESEARCH ARTICLE Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome David B Bernstein1,2, Floyd E Dewhirst3,4, Daniel Segre` 1,2,5,6,7* 1Department of Biomedical Engineering, Boston University, Boston, United States; 2Biological Design Center, Boston University, Boston, United States; 3The Forsyth Institute, Cambridge, United States; 4Harvard School of Dental Medicine, Boston, United States; 5Bioinformatics Program, Boston University, Boston, United States; 6Department of Biology, Boston University, Boston, United States; 7Department of Physics, Boston University, Boston, United States Abstract The biosynthetic capabilities of microbes underlie their growth and interactions, playing a prominent role in microbial community structure. For large, diverse microbial communities, prediction of these capabilities is limited by uncertainty about metabolic functions and environmental conditions. To address this challenge, we propose a probabilistic method, inspired by percolation theory, to computationally quantify how robustly a genome-derived metabolic network produces a given set of metabolites under an ensemble of variable environments. We used this method to compile an atlas of predicted biosynthetic capabilities for 97 metabolites across 456 human oral microbes. This atlas captures taxonomically-related trends in biomass composition, and makes it possible to estimate inter-microbial metabolic distances that correlate with microbial co-occurrences. We also found a distinct cluster of fastidious/uncultivated taxa, including several Saccharibacteria (TM7) species, characterized by their abundant metabolic deficiencies. By embracing uncertainty, our approach can be broadly applied to understanding metabolic interactions in complex microbial ecosystems. *For correspondence: DOI: https://doi.org/10.7554/eLife.39733.001 [email protected] Competing interests: The authors declare that no Introduction competing interests exist. -
1 Supplementary Material a Major Clade of Prokaryotes with Ancient
Supplementary Material A major clade of prokaryotes with ancient adaptations to life on land Fabia U. Battistuzzi and S. Blair Hedges Data assembly and phylogenetic analyses Protein data set: Amino acid sequences of 25 protein-coding genes (“proteins”) were concatenated in an alignment of 18,586 amino acid sites and 283 species. These proteins included: 15 ribosomal proteins (RPL1, 2, 3, 5, 6, 11, 13, 16; RPS2, 3, 4, 5, 7, 9, 11), four genes (RNA polymerase alpha, beta, and gamma subunits, Transcription antitermination factor NusG) from the functional category of Transcription, three proteins (Elongation factor G, Elongation factor Tu, Translation initiation factor IF2) of the Translation, Ribosomal Structure and Biogenesis functional category, one protein (DNA polymerase III, beta subunit) of the DNA Replication, Recombination and repair category, one protein (Preprotein translocase SecY) of the Cell Motility and Secretion category, and one protein (O-sialoglycoprotein endopeptidase) of the Posttranslational Modification, Protein Turnover, Chaperones category, as annotated in the Cluster of Orthologous Groups (COG) (Tatusov et al. 2001). After removal of multiple strains of the same species, GBlocks 0.91b (Castresana 2000) was applied to each protein in the concatenation to delete poorly aligned sites (i.e., sites with gaps in more than 50% of the species and conserved in less than 50% of the species) with the following parameters: minimum number of sequences for a conserved position: 110, minimum number of sequences for a flank position: 110, maximum number of contiguous non-conserved positions: 32000, allowed gap positions: with half. The signal-to-noise ratio was determined by altering the “minimum length of a block” parameter. -
Eubacteria and Archaea Communities in Seven Mesophile Anaerobic
Abendroth et al. Biotechnology for Biofuels (2015) 8:87 DOI 10.1186/s13068-015-0271-6 RESEARCH ARTICLE Open Access Eubacteria and archaea communities in seven mesophile anaerobic digester plants in Germany Christian Abendroth1,2, Cristina Vilanova1, Thomas Günther3, Olaf Luschnig2,4 and Manuel Porcar1,5* Abstract Background: Only a fraction of the microbial species used for anaerobic digestion in biogas production plants are methanogenic archaea. We have analyzed the taxonomic profiles of eubacteria and archaea, a set of chemical key parameters, and biogas production in samples from nine production plants in seven facilities in Thuringia, Germany, including co-digesters, leach-bed, and sewage sludge treatment plants. Reactors were sampled twice, at a 1-week interval, and three biological replicates were taken in each case. Results: A complex taxonomic composition was found for both eubacteria and archaea, both of which strongly correlated with digester type. Plant-degrading Firmicutes as well as Bacteroidetes dominated eubacteria profiles in high biogas-producing co-digesters; whereas Bacteroidetes and Spirochaetes were the major phyla in leach-bed and sewage sludge digesters. Methanoculleus was the dominant archaea genus in co-digesters, whereas Methanosarcina and Methanosaeta were the most abundant methanogens in leachate from leach-bed and sewage sludge digesters, respectively. Conclusions: This is one of the most comprehensive characterizations of the microbial communities of biogas-producing facilities. Bacterial profiles exhibited very low variation within replicates, including those of semi-solid samples; and, in general, low variation in time. However, facility type correlated closely with the bacterial profile: each of the three reactor types exhibited a characteristic eubacteria and archaea profile.