Sp. Draft Genome: Evidence for Genetic Exchange with Cyanobacteria
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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 -
Drylands Soil Bacterial Community Is Affected by Land Use Change and Different Irrigation Practices in the Mezquital Valley
www.nature.com/scientificreports OPEN Drylands soil bacterial community is afected by land use change and diferent irrigation practices in the Received: 23 June 2017 Accepted: 3 January 2018 Mezquital Valley, Mexico Published: xx xx xxxx Kathia Lüneberg1, Dominik Schneider2, Christina Siebe1 & Rolf Daniel 2 Dryland agriculture nourishes one third of global population, although crop irrigation is often mandatory. As freshwater sources are scarce, treated and untreated wastewater is increasingly used for irrigation. Here, we investigated how the transformation of semiarid shrubland into rainfed farming or irrigated agriculture with freshwater, dam-stored or untreated wastewater afects the total (DNA-based) and active (RNA-based) soil bacterial community composition, diversity, and functionality. To do this we collected soil samples during the dry and rainy seasons and isolated DNA and RNA. Soil moisture, sodium content and pH were the strongest drivers of the bacterial community composition. We found lineage-specifc adaptations to drought and sodium content in specifc land use systems. Predicted functionality profles revealed gene abundances involved in nitrogen, carbon and phosphorous cycles difered among land use systems and season. Freshwater irrigated bacterial community is taxonomically and functionally susceptible to seasonal environmental changes, while wastewater irrigated ones are taxonomically susceptible but functionally resistant to them. Additionally, we identifed potentially harmful human and phytopathogens. The analyses of 16 S rRNA genes, its transcripts and deduced functional profles provided extensive understanding of the short- term and long-term responses of bacterial communities associated to land use, seasonality, and water quality used for irrigation in drylands. Drylands are defned as regions with arid, semi-arid, and dry sub humid climate with an annual precipitation/ evapotranspiration potential ratio (P/PET)1 ranging from 0.05 to 0.652. -
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 -
For Studying Dynamics of the Bacterial Community and Metabolome in Rumen Fluid and the Effects of a Challenge with Clostridium Perfringens
RESEARCH ARTICLE The application of rumen simulation technique (RUSITEC) for studying dynamics of the bacterial community and metabolome in rumen fluid and the effects of a challenge with Clostridium perfringens Stefanie U. Wetzels1☯, Melanie Eger2☯, Marion Burmester2, Lothar Kreienbrock3, Amir Abdulmawjood4, Beate Pinior5, Martin Wagner1, Gerhard Breves2*, Evelyne Mann1* a1111111111 a1111111111 1 Institute for Milk Hygiene, Milk Technology and Food Science, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria, 2 Institute for Physiology, University a1111111111 of Veterinary Medicine Hannover, Hannover, Germany, 3 Institute for Biometry, Epidemiology and a1111111111 Information Processing, University of Veterinary Medicine Hannover, Hannover, Germany, 4 Institute for a1111111111 Food Quality and Food Safety, Research Center for Emerging Infections and Zoonoses (RIZ), University of Veterinary Medicine Hannover, Hannover, Germany, 5 Institute for Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria ☯ These authors contributed equally to this work. * [email protected] (GB); [email protected] (EM) OPEN ACCESS Citation: Wetzels SU, Eger M, Burmester M, Kreienbrock L, Abdulmawjood A, Pinior B, et al. (2018) The application of rumen simulation Abstract technique (RUSITEC) for studying dynamics of the The rumen simulation technique (RUSITEC) is a well-established semicontinuous in vitro bacterial community and metabolome in rumen fluid and the effects of a challenge with Clostridium model for investigating ruminal fermentation; however, information on the stability of the perfringens. PLoS ONE 13(2): e0192256. https:// ruminal bacterial microbiota and metabolome in the RUSITEC system is rarely available. doi.org/10.1371/journal.pone.0192256 The availability of high resolution methods, such as high-throughput sequencing and meta- Editor: Michel R. -
Effect of Azoxystrobin on Turfgrass Phyllosphere
EFFECT OF AZOXYSTROBIN ON TURFGRASS PHYLLOSPHERE MICROBIAL POPULATIONS AND DISEASE ENHANCEMENT A Thesis Presented to The Faculty of Graduate Studies of The University of Guelph by DANIEL BENEDETTO In partial fulfilment of requirements for the degree of Master of Science January, 2008 © Daniel Benedetto, 2008 Library and Bibliotheque et 1*1 Archives Canada Archives Canada Published Heritage Direction du Branch Patrimoine de I'edition 395 Wellington Street 395, rue Wellington Ottawa ON K1A0N4 Ottawa ON K1A0N4 Canada Canada Your file Votre reference ISBN: 978-0-494-41797-3 Our file Notre reference ISBN: 978-0-494-41797-3 NOTICE: AVIS: The author has granted a non L'auteur a accorde une licence non exclusive exclusive license allowing Library permettant a la Bibliotheque et Archives and Archives Canada to reproduce, Canada de reproduire, publier, archiver, publish, archive, preserve, conserve, sauvegarder, conserver, transmettre au public communicate to the public by par telecommunication ou par Plntemet, prefer, telecommunication or on the Internet, distribuer et vendre des theses partout dans loan, distribute and sell theses le monde, a des fins commerciales ou autres, worldwide, for commercial or non sur support microforme, papier, electronique commercial purposes, in microform, et/ou autres formats. paper, electronic and/or any other formats. The author retains copyright L'auteur conserve la propriete du droit d'auteur ownership and moral rights in et des droits moraux qui protege cette these. this thesis. Neither the thesis Ni la these ni des extraits substantiels de nor substantial extracts from it celle-ci ne doivent etre imprimes ou autrement may be printed or otherwise reproduits sans son autorisation. -
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. -
A Genome Compendium Reveals Diverse Metabolic Adaptations of Antarctic Soil Microorganisms
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.06.239558; this version posted August 6, 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. August 3, 2020 A genome compendium reveals diverse metabolic adaptations of Antarctic soil microorganisms Maximiliano Ortiz1 #, Pok Man Leung2 # *, Guy Shelley3, Marc W. Van Goethem1,4, Sean K. Bay2, Karen Jordaan1,5, Surendra Vikram1, Ian D. Hogg1,7,8, Thulani P. Makhalanyane1, Steven L. Chown6, Rhys Grinter2, Don A. Cowan1 *, Chris Greening2,3 * 1 Centre for Microbial Ecology and Genomics, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Hatfield, Pretoria 0002, South Africa 2 Department of Microbiology, Monash Biomedicine Discovery Institute, Clayton, VIC 3800, Australia 3 School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia 4 Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA 5 Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Alameda 340, Santiago 6 Securing Antarctica’s Environmental Future, School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia 7 School of Science, University of Waikato, Hamilton 3240, New Zealand 8 Polar Knowledge Canada, Canadian High Arctic Research Station, Cambridge Bay, NU X0B 0C0, Canada # These authors contributed equally to this work. * Correspondence may be addressed to: A/Prof Chris Greening ([email protected]) Prof Don A. Cowan ([email protected]) Pok Man Leung ([email protected]) bioRxiv preprint doi: https://doi.org/10.1101/2020.08.06.239558; this version posted August 6, 2020. -
Columnaris Disease of Fishes
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln US Fish & Wildlife Publications US Fish & Wildlife Service 1986 COLUMNARIS DISEASE OF FISHES G. L. Bullock u.s. Fish and Wildlife Service T. C. Hsu University of Georgia E. B. Shotts Jr. University of Georgia Follow this and additional works at: https://digitalcommons.unl.edu/usfwspubs Part of the Aquaculture and Fisheries Commons Bullock, G. L.; Hsu, T. C.; and Shotts, E. B. Jr., "COLUMNARIS DISEASE OF FISHES" (1986). US Fish & Wildlife Publications. 129. https://digitalcommons.unl.edu/usfwspubs/129 This Article is brought to you for free and open access by the US Fish & Wildlife Service at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in US Fish & Wildlife Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. COLUMNARIS DISEASE OF FISHESl G. L. Bullock u.s. Fish and Wildlife Service National Fisheries Center-Leetown National Fish Health Research Laboratory Box 700, Kearneysville, West Virginia 25430 T. C. Hsu and E. B. Shotts. Jr. Department of Medical Microbiology College of Veterinary Medicine University of Georgia Athens, Georgia 30602 FISH DISEASE LEAFLET 72 UNITED STATES DEPARTMENT OF THE INTERIOR Fish and Wildlife Service Division of Fisheries and Wetlands Research Washington, D.C. 20240 1986 lR " eVISlOn of Fish Disease Leaflet 45 (1976), same title. by S. F. Snieszko and G. L. Bullock. Introduction bacteria penetrate the dermis and cause necrosis of muscle fibers and destruction of capillaries. Both in Pacific salmonids and in warmwater Columnaris disease is an acute to chronic bac pondfishes, columnaris commonly causes exten terial infection that affects anadromous salmonids sive gill necrosis, which starts at the margins of and virtually all species of warmwater fishes. -
Columnaris Disease in Fish
Declercq et al. Veterinary Research 2013, 44:27 http://www.veterinaryresearch.org/content/44/1/27 VETERINARY RESEARCH REVIEW Open Access Columnaris disease in fish: a review with emphasis on bacterium-host interactions Annelies Maria Declercq1*, Freddy Haesebrouck2, Wim Van den Broeck1, Peter Bossier3 and Annemie Decostere1 Abstract Flavobacterium columnare (F. columnare) is the causative agent of columnaris disease. This bacterium affects both cultured and wild freshwater fish including many susceptible commercially important fish species. F. columnare infections may result in skin lesions, fin erosion and gill necrosis, with a high degree of mortality, leading to severe economic losses. Especially in the last decade, various research groups have performed studies aimed at elucidating the pathogenesis of columnaris disease, leading to significant progress in defining the complex interactions between the organism and its host. Despite these efforts, the pathogenesis of columnaris disease hitherto largely remains unclear, compromising the further development of efficient curative and preventive measures to combat this disease. Besides elaborating on the agent and the disease it causes, this review aims to summarize these pathogenesis data emphasizing the areas meriting further investigation. Table of contents 1. The agent 1.1 History and taxonomy 1. The agent Flavobacterium columnare (F. columnare), the causative 1.1 History and taxonomy agent of columnaris disease, belongs to the family 1.2 Morphology and biochemical characteristics Flavobacteriaceae [1-3]. Columnaris disease was first de- 1.3 Epidemiology scribed by Davis among warm water fishes from the 2. The disease Mississippi River [4]. Although unsuccessful in cultivat- 2.1 Clinical signs, histopathology, ultrastructural ing the etiological agent, Davis described the disease and features and haematology reported large numbers of slender, motile bacteria 2.2 Diagnosis present in the lesions [4]. -
Connecting Biodiversity and Biogeochemical Role by Microbial
Conne cting biodi versity and biogeochemical role by microbial metagenomics Tomàs Llorens Marès A questa tesi doctoral està subjecta a la llicència Reconeixement - NoComercial – CompartirIgual 4 .0. Espanya de Creative Commons . Esta tesis doctoral está sujeta a la licencia Reconocimiento - No Comercial – CompartirIgual 4 .0. España de Creative Commons . Th is doctoral thesis is licensed under the Creative Commons Attribution - NonCommercial - ShareAlike 4 .0. Spain License . ! ! ! Tesi Doctoral Universitat de Barcelona Facultat de Biologia – Departament d’Ecologia Programa de doctorat en Ecologia Fonamental i Aplicada Connecting biodiversity and biogeochemical role by microbial metagenomics Vincles entre biodiversitat microbiana i funció biogeoquímica mitjançant una aproximació metagenòmica Memòria presentada pel Sr. Tomàs Llorens Marès per optar al grau de doctor per la Universitat de Barcelona Tomàs Llorens Marès Centre d’Estudis Avançats de Blanes (CEAB) Consejo Superior de Investigaciones Científicas (CSIC) Blanes, Juny de 2015 Vist i plau del director i tutora de la tesi El director de la tesi La tutora de la tesi Dr. Emilio Ortega Casamayor Dra. Isabel Muñoz Gracia Investigador científic Professora al Departament del CEAB (CSIC) d’Ecologia (UB) Llorens-Marès, T., 2015. Connecting biodiversity and biogeochemical role by microbial metagenomics. PhD thesis. Universitat de Barcelona. 272 p. Disseny coberta: Jordi Vissi Garcia i Tomàs Llorens Marès. Fletxes coberta: Jordi Vissi Garcia. Fotografia coberta: Estanys de Baiau (Transpirinenca 2008), fotografia de l’autor. ! ! ! La ciència es construeix a partir d’aproximacions que s’acosten progressivament a la realitat Isaac Asimov (1920-1992) ! V! Agraïments Tot va començar l’estiu de 2009, just acabada la carrera de Biotecnologia. Com sovint passa quan acabes una etapa i n’has de començar una altra, els interrogants s’obren al teu davant i la millor forma de resoldre’ls és provar. -
Supplement of Biogeosciences, 16, 4229–4241, 2019 © Author(S) 2019
Supplement of Biogeosciences, 16, 4229–4241, 2019 https://doi.org/10.5194/bg-16-4229-2019-supplement © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. Supplement of Identifying the core bacterial microbiome of hydrocarbon degradation and a shift of dominant methanogenesis pathways in the oil and aqueous phases of petroleum reservoirs of different temperatures from China Zhichao Zhou et al. Correspondence to: Ji-Dong Gu ([email protected]) and Bo-Zhong Mu ([email protected]) The copyright of individual parts of the supplement might differ from the CC BY 4.0 License. 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. It was dedicated to water-flooding, however, due to low permeability and high viscosity of crude oil, displacement efficiency of water-flooding driving process was slowed down along the increase of water-cut rate. -
Changes in Soil Microbial Community Structure Under Elevated Atmospheric
CHANGES IN SOIL MICROBIAL COMMUNITY STRUCTURE UNDER ELEVATED ATMOSPHERIC CO2 Weiwei Xia1, Zhongjun Jia1, Saman Bowatte2, Paul Newton2 1Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China; 2AgResearch (Grasslands), Tennent Drive, Private Bag 11008, Palmerston North 4442 Email: [email protected] Abstract The response of soil microbes to elevated atmospheric CO2 is fundamental to understanding how ecosystems will respond to global change. Here, we investigated soils that had been exposed to the ambient atmospheric CO2 concentration or to 12 years of elevated atmospheric CO2 in a Free Air Carbon Dioxide Enrichment (FACE) experiment in New Zealand. Through pyrosequencing, we obtained an average of 3,458 sequences per soil. We then assigned the sequencing data of 16S rRNA genes to RDP taxonomical hierarchy based on nomenclatural taxonomy and Bergey's Manual with a minimum support threshold of 80%. The result of classification at different levels (such as phylum-, class-, subclass-, order-, suborder-, family- and genus) showed that the most taxonomic groupings were present in both treatments but there were marked changes in relative abundance within the groupings. For example, under elevated CO2 there was an increase in the abundance of Actinobacteria and Planctomycetes , no change in Proteobacteria and a decrease of Frimicutes. We expect these changes have functional consequences and this is an area for future research. Introduction The CO2 concentration in the atmosphere has increased by >30% since the industrial revolution due to anthropogenic interference, and is predicted to be 450-600 ppm in 2050 (Houghton et al., 2001; Keeling & Whorf, 2004). Elevated CO2 not only leads to climate change and global warming, but also has a direct impact on biological systems.