Thermophilic Anaerobic Digestion of Second Cheese Whey: Microbial Community Response to H2 Addition in a Partially Immobilized Anaerobic Hybrid Reactor
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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. -
Microbial Evolution and Diversity
PART V Microbial Evolution and Diversity This material cannot be copied, disseminated, or used in any way without the express written permission of the publisher. Copyright 2007 Sinauer Associates Inc. The objectives of this chapter are to: N Provide information on how bacteria are named and what is meant by a validly named species. N Discuss the classification of Bacteria and Archaea and the recent move toward an evolutionarily based, phylogenetic classification. N Describe the ways in which the Bacteria and Archaea are identified in the laboratory. This material cannot be copied, disseminated, or used in any way without the express written permission of the publisher. Copyright 2007 Sinauer Associates Inc. 17 Taxonomy of Bacteria and Archaea It’s just astounding to see how constant, how conserved, certain sequence motifs—proteins, genes—have been over enormous expanses of time. You can see sequence patterns that have per- sisted probably for over three billion years. That’s far longer than mountain ranges last, than continents retain their shape. —Carl Woese, 1997 (in Perry and Staley, Microbiology) his part of the book discusses the variety of microorganisms that exist on Earth and what is known about their characteris- Ttics and evolution. Most of the material pertains to the Bacteria and Archaea because there is a special chapter dedicated to eukaryotic microorganisms. Therefore, this first chapter discusses how the Bacte- ria and Archaea are named and classified and is followed by several chapters (Chapters 18–22) that discuss the properties and diversity of the Bacteria and Archaea. When scientists encounter a large number of related items—such as the chemical elements, plants, or animals—they characterize, name, and organize them into groups. -
Lifestyle and Genetic Evolution of Coprothermobacter
bioRxiv preprint doi: https://doi.org/10.1101/280602; this version posted July 11, 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 4.0 International license. 1 From proteins to polysaccharides: lifestyle and genetic evolution of 2 Coprothermobacter proteolyticus. 3 4 5 B.J. Kunath1#, F. Delogu1#, A.E. Naas1, M.Ø. Arntzen1, V.G.H. Eijsink1, B. Henrissat2, T.R. 6 Hvidsten1, P.B. Pope1* 7 8 1. Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life 9 Sciences, 1432 Ås, NORWAY. 10 2. Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille 11 Université, F-13288 Marseille, France. 12 # Equal contributors 13 14 *Corresponding Author: Phillip B. Pope 15 Faculty of Chemistry, Biotechnology and Food Science 16 Norwegian University of Life Sciences 17 Post Office Box 5003 18 1432, Ås, Norway 19 Phone: +47 6496 6232 20 Email: [email protected] 21 22 23 RUNNING TITLE: 24 The genetic plasticity of Coprothermobacter 25 26 COMPETING INTERESTS 27 The authors declare there are no competing financial interests in relation to the work described. 28 29 KEYWORDS 30 CAZymes; Horizontal gene transfer; strain heterogeneity; Metatranscriptomics 1 bioRxiv preprint doi: https://doi.org/10.1101/280602; this version posted July 11, 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. -
Unique Metabolic Strategies in Hadean Analogues Reveal Hints for Primordial Physiology
Unique metabolic strategies in Hadean analogues reveal hints for primordial physiology - Supplementary Information - Masaru Konishi Nobu1†*, Ryosuke Nakai1,2†, Satoshi Tamazawa1,3, Hiroshi Mori4, Atsushi Toyoda4, Akira Ijiri5, Shino Suzuki6,7, Ken Kurokawa4, Yoichi Kamagata1, and Hideyuki Tamaki1* Affiliation: 1 Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, Japan 2 Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2-17-2-1, Tsukisamu-Higashi, Sapporo, 062-8517, Japan 3 Horonobe Research Institute for the Subsurface Environment (H-RISE), Northern Advancement Center for Science & Technology, 5-3 Sakaemachi, Horonobe, Teshio, Hokkaido, 098-3221, Japan 4 National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan 5 Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 200 Monobe Otsu, Nankoku, Kochi, Japan 6 Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), JAMSTEC, Natsushima 2-15, Yokosuka, Kanagawa 237-0061, Japan 7 Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), 3-1-1 Yoshinodai, Chuo-ku, Sagamihara, Kanagawa 252-5210, Japan † These authors contributed equally. * Corresponding author: [email protected] and [email protected] Table of Contents Supplementary Results ..................... 2 Supplementary Figures ..................... 3 Figure S1 3 Figure S2 4 Figure S3 5 Figure S4 6 Figure S5 7 Figure S6 8 Figure S7 9 References 10 Supplementary Tables ..................... 11 Table S1 11 Table S2 12 Table S3 13 Table S4 14 1 Supplementary Results H2 and formate metabolism Assuming that the hydrogenases and formate dehydrogenases in situ use NADP(H) or NAD(H)+ferredoxin (i.e., electron-bifurcating) (an assumption confirmed based on analysis of the metagenome-assembled genomes we recover; see below), H2 and formate are likely reductants. -
An Extension of Shannon's Entropy to Explain Taxa Diversity and Human Diseases
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233767; this version posted August 4, 2020. 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 Title Page 2 Title: An extension of Shannon’s entropy to explain taxa diversity and human 3 diseases 4 Running title: A mathematical interpretation of life 5 6 Author list and full affiliations: 7 Farzin Kamari*1,2, MD, MPH; Sina Dadmand2,3, PharmD. 8 1Neurosciences Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran. 9 2Synaptic ProteoLab, Synaptic ApS, Skt Knuds Gade 20, 5000 Odense C, Denmark. 10 3Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. 11 *Corresponding author: Farzin Kamari 12 Email: [email protected] 13 14 Total character count (with spaces): 72,502 15 Keywords: origin of diseases/ protein-protein interaction/ Shannon’s entropy/ taxonomic 16 classification/ tree of life 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.233767; this version posted August 4, 2020. 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. 17 Abstract 18 In this study, with the use of the information theory, we have proposed and proved a 19 mathematical theorem by which we argue the reason for the existence of human diseases. -
The Distribution of Microbiomes and Resistomes Across Farm Environments in Conventional and Organic Dairy Herds in Pennsylvania Dipti W
Pitta et al. Environmental Microbiome (2020) 15:21 Environmental Microbiome https://doi.org/10.1186/s40793-020-00368-5 RESEARCH ARTICLE Open Access The distribution of microbiomes and resistomes across farm environments in conventional and organic dairy herds in Pennsylvania Dipti W. Pitta* , Nagaraju Indugu, John D. Toth, Joseph S. Bender, Linda D. Baker, Meagan L. Hennessy, Bonnie Vecchiarelli, Helen Aceto and Zhengxia Dou Abstract Background: Antimicrobial resistance is a serious concern. Although the widespread use of antimicrobials in livestock has exacerbated the emergence and dissemination of antimicrobial resistance genes (ARG) in farm environments, little is known about whether antimicrobial use affects distribution of ARG in livestock systems. This study compared the distribution of microbiomes and resistomes (collections of ARG) across different farm sectors in dairy herds that differed in their use of antimicrobials. Feces from heifers, non-lactating, and lactating cows, manure storage, and soil from three conventional (antimicrobials used to treat cows) and three organic (no antimicrobials used for at least four years) farms in Pennsylvania were sampled. Samples were extracted for genomic DNA, processed, sequenced on the Illumina NextSeq platform, and analyzed for microbial community and resistome profiles using established procedures. Results: Microbial communities and resistome profiles clustered by sample type across all farms. Overall, abundance and diversity of ARG in feces was significantly higher in conventional herds compared to organic herds. The ARG conferring resistance to betalactams, macrolide-lincosamide-streptogramin (MLS), and tetracyclines were significantly higher in fecal samples of dairy cows from conventional herds compared to organic herds. Regardless of farm type, all manure storage samples had greater diversity (albeit low abundance) of ARG conferring resistance to aminoglycosides, tetracyclines, MLS, multidrug resistance, and phenicol. -
Performances and Microbial Composition During Mesophilic and Thermophilic Anaerobic Sludge Digestion Processes
Dipartimento per l'Innovazione nei sistemi Biologici, Agroalimentari e Forestali (DIBAF) Corso di Dottorato di Ricerca in SCIENZE AMBIENTALI - XXVI Ciclo Performances and microbial composition during mesophilic and thermophilic anaerobic sludge digestion processes BIO/19 Tesi di dottorato di: Dott. Maria Cristina Gagliano Coordinatore del corso Tutor Prof. Maurizio Petruccioli Prof. Maurizio Petruccioli Co-tutors Dott. Simona Rossetti Dott. Camilla Maria Braguglia Giugno 2014 A Silvana. 2 Contents Preface and thesis outlines 4 Chapter 1. Anaerobic digestion of sludge: an overview 7 Chapter 2. Identification and role of proteolytic Coprothermobacter spp. in different thermophilic anaerobic systems: a review 26 Chapter 3. In situ identification of the synthrophic protein fermentative Coprothermobacter spp. involved in thermophilic anaerobic digestion process 45 Chapter 4. Evaluation of pretreatments effects on sludge floc structure 64 Chapter 5. Thermophilic anaerobic digestion of thermal pretreated sludge:role of microbial community structure and correlation with process performances 75 Chapter 6. Microbial diversity in innovative mesophilic/thermophilic temperature phased anaerobic digestion of sludge 104 Chapter 7. Efficacy of of the methanogenic biomass acclimation in batch mesophilic anaerobic digestion of ultrasound pretreated waste activated sludge 123 Concluding remarks 137 Future recommendations and research needs 138 Acknowledgements 139 3 Preface and thesis outlines The anaerobic digestion (AD) of organic wastes still gathers a great interest due to the global needs for waste recycling and renewable energy production, in the form of biogas. The need of solutions for a sustainable sludge disposal is increasing and anaerobic sludge treatment can be used as a cost- effective strategy. In a worldwide perspective, anaerobic digestion of sewage sludge is far the most widespread use of anaerobic digestion. -
Development of Bacterial Communities in Biological Soil Crusts Along
1 Development of bacterial communities in biological soil crusts along 2 a revegetation chronosequence in the Tengger Desert, northwest 3 China 4 5 Author names and affiliations: 6 Lichao Liu1, Yubing Liu1, 2 *, Peng Zhang1, Guang Song1, Rong Hui1, Zengru Wang1, Jin Wang1, 2 7 1Shapotou Desert Research & Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese 8 Academy of Sciences, Lanzhou, 730000, China 9 2Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions of Gansu Province, Northwest Institute 10 of Eco–Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China 11 12 * Corresponding author: Yubing Liu 13 Address: Donggang West Road 320, Lanzhou 730000, P. R. China. 14 Tel: +86 0931 4967202. 15 E-mail address: [email protected] 16 17 Abstract. Knowledge of structure and function of microbial communities in different 18 successional stages of biological soil crusts (BSCs) is still scarce for desert areas. In this study, 19 Illumina MiSeq sequencing was used to assess the composition changes of bacterial communities 20 in different ages of BSCs in the revegetation of Shapotou in the Tengger Desert. The most dominant 21 phyla of bacterial communities shifted with the changed types of BSCs in the successional stages, 22 from Firmicutes in mobile sand and physical crusts to Actinobacteria and Proteobacteria in BSCs, 23 and the most dominant genera shifted from Bacillus, Enterococcus and Lactococcus to 24 RB41_norank and JG34-KF-361_norank. Alpha diversity and quantitative real-time PCR analysis 25 indicated that bacteria richness and abundance reached their highest levels after 15 years of BSC 26 development. -
Supplemental Material S1.Pdf
Phylogeny of Selenophosphate synthetases (SPS) Supplementary Material S1 ! SelD in prokaryotes! ! ! SelD gene finding in sequenced prokaryotes! We downloaded a total of 8263 prokaryotic genomes from NCBI (see Supplementary Material S7). We scanned them with the program selenoprofiles (Mariotti 2010, http:// big.crg.cat/services/selenoprofiles) using two SPS-family profiles, one prokaryotic (seld) and one mixed eukaryotic-prokaryotic (SPS). Selenoprofiles removes overlapping predictions from different profiles, keeping only the prediction from the profile that seems closer to the candidate sequence. As expected, the great majority of output predictions in prokaryotic genomes were from the seld profile. We will refer to the prokaryotic SPS/SelD !genes as SelD, following the most common nomenclature in literature.! To be able to inspect results by hand, and also to focus on good-quality genomes, we considered a reduced set of species. We took the prok_reference_genomes.txt list from ftp://ftp.ncbi.nlm.nih.gov/genomes/GENOME_REPORTS/, which NCBI claims to be a "small curated subset of really good and scientifically important prokaryotic genomes". We named this the prokaryotic reference set (223 species - see Supplementary Material S8). We manually curated most of the analysis in this set, while we kept automatized the !analysis on the full set.! We detected SelD proteins in 58 genomes (26.0%) in the prokaryotic reference set (figure 1 in main paper), which become 2805 (33.9%) when considering the prokaryotic full set (figure SM1.1). The difference in proportion between the two sets is due largely to the presence of genomes of very close strains in the full set, which we consider redundant. -
The Active Sulfate-Reducing Microbial Community in Littoral Sediment of Oligotrophic Lake Constance
fmicb-10-00247 February 11, 2019 Time: 18:14 # 1 Erschienen in: Frontiers in Microbiology ; 10 (2019). - 247 http://dx.doi.org/10.3389/fmicb.2019.00247 ORIGINAL RESEARCH published: 13 February 2019 doi: 10.3389/fmicb.2019.00247 The Active Sulfate-Reducing Microbial Community in Littoral Sediment of Oligotrophic Lake Constance Susanne Wörner1,2 and Michael Pester1,2,3* 1 Department of Biology, University of Konstanz, Konstanz, Germany, 2 Leibniz Institute DSMZ – German Collection of Microorganisms and Cell cultures, Braunschweig, Germany, 3 Institute for Microbiology, Technical University of Braunschweig, Braunschweig, Germany Active sulfate-reducing microorganisms (SRM) in freshwater sediments are under- examined, despite the well-documented cryptic sulfur cycle occurring in these low- Edited by: sulfate habitats. In Lake Constance sediment, sulfate reduction rates of up to 1,800 nmol Kenneth Wasmund, cm−3 day−1 were previously measured. To characterize its SRM community, we used University of Vienna, Austria a tripartite amplicon sequencing approach based on 16S rRNA genes, 16S rRNA, Reviewed by: Paula Dalcin Martins, and dsrB transcripts (encoding the beta subunit of dissimilatory sulfite reductase). Radboud University Nijmegen, We followed the respective amplicon dynamics in four anoxic microcosm setups Netherlands supplemented either with (i) chitin and sulfate, (ii) sulfate only, (iii) chitin only, or Christina Pavloudi, Hellenic Centre for Marine Research (iv) no amendment. Chitin was used as a general substrate for the whole carbon (HCMR), Greece degradation chain. Sulfate turnover in sulfate-supplemented microcosms ranged from Jesse G. Dillon, −1 −1 California State University, Long 38 to 955 nmol day (g sediment f. wt.) and was paralleled by a decrease of Beach, United States 90–100% in methanogenesis as compared to the respective methanogenic controls. -
The Effect of Magnetite Nanoparticles on Methane Production from the Anaerobic Digestion of Acetate, Propionate and Glucose
THE EFFECT OF MAGNETITE NANOPARTICLES ON METHANE PRODUCTION FROM THE ANAEROBIC DIGESTION OF ACETATE, PROPIONATE AND GLUCOSE A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy in Civil and Natural Resources Engineering at the University of Canterbury By Ethar Mohammad Al-Essa Department of Civil and Natural Resources Engineering University of Canterbury, New Zealand January 2020 ACKNOWLEDGEMENTS First and foremost, my deepest appreciation and thanks to my supervisors Dr. Ricardo Bello Mendoza and Dr. David Wareham Associate Professor, Department of Civil and Natural Resources Engineering (CNRE), University of Canterbury, New Zealand. I feel very grateful to have had an opportunity to work under their supervision. Thank you for your valuable time, co- operation, and guidance in carrying out this thesis. Great pleasure to thank my technical advisors in the Department of CNRE, Mr. Peter McGuigan, Mr. Manjula Premaratne, Aude Thierry and Mr. Dave MacPherson for their extraordinary help and technical assistance through my research work. This thesis would not have been possible without the support of many people. I am deeply grateful to the College of Engineering and the department of CNRE for helping me during these years of my study both academically and officially. My thanks to all my UC friends for their generous help and suggestions through my thesis writing. My heartfelt thanks and love to my husband (Khaldoun), my parents, brothers, sisters and my little son (Omar). I would not have got where I am today without their endless love, constant unconditional support and encouragement. Above all, thanks to almighty God who enabled me to complete my research and get overcome all the challenges that faced me through my thesis journey.