Pedobacter Alpinus Sp. Nov., Isolated from a Plateau Lake Ai-Hua Li, Hong-Can Liu and Yu-Guang Zhou
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The 2014 Golden Gate National Parks Bioblitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event
National Park Service U.S. Department of the Interior Natural Resource Stewardship and Science The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 ON THIS PAGE Photograph of BioBlitz participants conducting data entry into iNaturalist. Photograph courtesy of the National Park Service. ON THE COVER Photograph of BioBlitz participants collecting aquatic species data in the Presidio of San Francisco. Photograph courtesy of National Park Service. The 2014 Golden Gate National Parks BioBlitz - Data Management and the Event Species List Achieving a Quality Dataset from a Large Scale Event Natural Resource Report NPS/GOGA/NRR—2016/1147 Elizabeth Edson1, Michelle O’Herron1, Alison Forrestel2, Daniel George3 1Golden Gate Parks Conservancy Building 201 Fort Mason San Francisco, CA 94129 2National Park Service. Golden Gate National Recreation Area Fort Cronkhite, Bldg. 1061 Sausalito, CA 94965 3National Park Service. San Francisco Bay Area Network Inventory & Monitoring Program Manager Fort Cronkhite, Bldg. 1063 Sausalito, CA 94965 March 2016 U.S. Department of the Interior National Park Service Natural Resource Stewardship and Science Fort Collins, Colorado The National Park Service, Natural Resource Stewardship and Science office in Fort Collins, Colorado, publishes a range of reports that address natural resource topics. These reports are of interest and applicability to a broad audience in the National Park Service and others in natural resource management, including scientists, conservation and environmental constituencies, and the public. The Natural Resource Report Series is used to disseminate comprehensive information and analysis about natural resources and related topics concerning lands managed by the National Park Service. -
Alpine Soil Bacterial Community and Environmental Filters Bahar Shahnavaz
Alpine soil bacterial community and environmental filters Bahar Shahnavaz To cite this version: Bahar Shahnavaz. Alpine soil bacterial community and environmental filters. Other [q-bio.OT]. Université Joseph-Fourier - Grenoble I, 2009. English. tel-00515414 HAL Id: tel-00515414 https://tel.archives-ouvertes.fr/tel-00515414 Submitted on 6 Sep 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour l’obtention du titre de l'Université Joseph-Fourier - Grenoble 1 École Doctorale : Chimie et Sciences du Vivant Spécialité : Biodiversité, Écologie, Environnement Communautés bactériennes de sols alpins et filtres environnementaux Par Bahar SHAHNAVAZ Soutenue devant jury le 25 Septembre 2009 Composition du jury Dr. Thierry HEULIN Rapporteur Dr. Christian JEANTHON Rapporteur Dr. Sylvie NAZARET Examinateur Dr. Jean MARTIN Examinateur Dr. Yves JOUANNEAU Président du jury Dr. Roberto GEREMIA Directeur de thèse Thèse préparée au sien du Laboratoire d’Ecologie Alpine (LECA, UMR UJF- CNRS 5553) THÈSE Pour l’obtention du titre de Docteur de l’Université de Grenoble École Doctorale : Chimie et Sciences du Vivant Spécialité : Biodiversité, Écologie, Environnement Communautés bactériennes de sols alpins et filtres environnementaux Bahar SHAHNAVAZ Directeur : Roberto GEREMIA Soutenue devant jury le 25 Septembre 2009 Composition du jury Dr. -
Multilevel Social Structure and Diet Shape the Gut Microbiota of the Gelada Monkey, the Only Grazing Primate Pål Trosvik 1*, Eric J
Multilevel social structure and diet shape the gut microbiota of the gelada monkey, the only grazing primate Pål Trosvik 1*, Eric J. de Muinck 1, Eli K. Rueness 1, Peter J. Fashing 2, Evan C. Beierschmitt 3, Kadie R. Callingham 4, Jacob B. Kraus 5, Thomas H. Trew 6, Amera Moges 7, Addisu Mekonnen 1,8 , Vivek V. Venkataraman 9, Nga Nguyen 2 Supplementary information: Supplementary Figures 1-17, Supplementary Tables 1-10. Figure S1. Relative abundances of the eight most prevalent phyla in the gelada samples. Data are shown for all samples combined, as well as split into samples collected during the dry or wet season. The category “Other” includes OTUs that could not be classified to the phylum level with a probability higher than 0.5. Figure S2. Between-sample weighted (a) and unweighted (b) UniFrac distances in gelada samples collected during the dry (n=142) or the wet (n=174) season. Each box represents the interquartile range, with the horizontal lines representing the medians and the whiskers representing 1.5 times the interquartile range. Points outside the whiskers represent outliers. For both comparisons the difference in mean distance was highly significant (t<<0.001 for both comparisons, unpaired t-tests). Figure S3. Non-metric multidimensional scaling of all primate samples based on weighted (a) and unweighted (b) UniFrac distances. The plot shows the two main dimensions of variation, with plotted characters color coded according to sample type. Clustering according to samples type was highly significant, explaining 46.2% and 63.1% of between-sample variation, respectively (p<<0.001 for both tests, PERMANOVA). -
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 -
Pedobacter Ghigonii Sp. Nov., Isolated from the Microbiota of the Planarian Schmidtea Mediterranea
Article Pedobacter ghigonii sp. nov., Isolated from the Microbiota of the Planarian Schmidtea mediterranea Luis Johnson Kangale 1,2 , Didier Raoult 2,3,4 and Fournier Pierre-Edouard 1,2,* 1 UMR VITROME, SSA, Aix-Marseille University, IRD, AP-HM, IHU-Méditerranée-Infection, 13385 Marseille, France; [email protected] 2 IHU-Méditerranée-Infection, 13385 Marseille, France; [email protected] 3 Department of Epidemiology of Parasitic Diseases, Aix Marseille University, IRD, AP-HM, MEPHI, 13385 Marseille, France 4 Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia * Correspondence: [email protected]; Tel.: +33-0413732401; Fax: +33-0413732402 Abstract: The planarian S. mediterranea is a platyhelminth with worldwide distribution that can regenerate any part of its body after amputation and has the capacity to eliminate a large spectrum of human bacterial pathogens. Surprisingly, the microbiota of S. mediterranea remains poorly investi- gated. Using the culturomics strategy to study the bacterial component of planarians, we isolated a new bacterial strain, Marseille-Q2390, which we characterized with the taxono-genomic approach that associates phenotypic assays and genome sequencing and analysis. Strain Marseille-Q2390 exhibited a 16S rRNA sequence similarity of 99.36% with Pedobacter kyungheensis strain THG-T17T, the closest phylogenetic neighbor. It is a white-pigmented, Gram-negative, and rod-shaped bacterium. It grows in aerobic conditions and belongs to the family Sphingobacteriaceae. The genome of strain Marseille-Q2390 is 5,919,359 bp-long, with a G + C content of 40.3%. By comparing its genome with Citation: Kangale, L.J.; Raoult, D.; other closely related strains, the highest Orthologous Average Nucleotide Identity (Ortho-ANI) and Pierre-Edouard, F. -
Ice-Nucleating Particles Impact the Severity of Precipitations in West Texas
Ice-nucleating particles impact the severity of precipitations in West Texas Hemanth S. K. Vepuri1,*, Cheyanne A. Rodriguez1, Dimitri G. Georgakopoulos4, Dustin Hume2, James Webb2, Greg D. Mayer3, and Naruki Hiranuma1,* 5 1Department of Life, Earth and Environmental Sciences, West Texas A&M University, Canyon, TX, USA 2Office of Information Technology, West Texas A&M University, Canyon, TX, USA 3Department of Environmental Toxicology, Texas Tech University, Lubbock, TX, USA 4Department of Crop Science, Agricultural University of Athens, Athens, Greece 10 *Corresponding authors: [email protected] and [email protected] Supplemental Information 15 S1. Precipitation and Particulate Matter Properties S1.1 Precipitation Categorization In this study, we have segregated our precipitation samples into four different categories, such as (1) snows, (2) hails/thunderstorms, (3) long-lasted rains, and (4) weak rains. For this categorization, we have considered both our observation-based as well as the disdrometer-assigned National Weather Service (NWS) 20 code. Initially, the precipitation samples had been assigned one of the four categories based on our manual observation. In the next step, we have used each NWS code and its occurrence in each precipitation sample to finalize the precipitation category. During this step, a precipitation sample was categorized into snow, only when we identified a snow type NWS code (Snow: S-, S, S+ and/or Snow Grains: SG). Likewise, a precipitation sample was categorized into hail/thunderstorm, only when the cumulative sum of NWS codes for hail was 25 counted more than five times (i.e., A + SP ≥ 5; where A and SP are the codes for soft hail and hail, respectively). -
The Antarctic Mite, Alaskozetes Antarcticus, Shares Bacterial Microbiome Community Membership but Not Abundance Between Adults and Tritonymphs
Polar Biology (2019) 42:2075–2085 https://doi.org/10.1007/s00300-019-02582-5 ORIGINAL PAPER The Antarctic mite, Alaskozetes antarcticus, shares bacterial microbiome community membership but not abundance between adults and tritonymphs Christopher J. Holmes1 · Emily C. Jennings1 · J. D. Gantz2,3 · Drew Spacht4 · Austin A. Spangler1 · David L. Denlinger4 · Richard E. Lee Jr.3 · Trinity L. Hamilton5 · Joshua B. Benoit1 Received: 14 January 2019 / Revised: 3 September 2019 / Accepted: 4 September 2019 / Published online: 16 September 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract The Antarctic mite (Alaskozetes antarcticus) is widely distributed on sub-Antarctic islands and throughout the Antarctic Peninsula, making it one of the most abundant terrestrial arthropods in the region. Despite the impressive ability of A. ant- arcticus to thrive in harsh Antarctic conditions, little is known about the biology of this species. In this study, we performed 16S rRNA gene sequencing to examine the microbiome of the fnal immature instar (tritonymph) and both male and female adults. The microbiome included a limited number of microbial classes and genera, with few diferences in community membership noted among the diferent stages. However, the abundances of taxa that composed the microbial community difered between adults and tritonymphs. Five classes—Actinobacteria, Flavobacteriia, Sphingobacteriia, Gammaproteobac- teria, and Betaproteobacteria—comprised ~ 82.0% of the microbial composition, and fve (identifed) genera—Dermacoccus, Pedobacter, Chryseobacterium, Pseudomonas, and Flavobacterium—accounted for ~ 68.0% of the total composition. The core microbiome present in all surveyed A. antarcticus was dominated by the families Flavobacteriaceae, Comamonadaceae, Sphingobacteriaceae, Chitinophagaceae and Cytophagaceae, but the majority of the core consisted of operational taxonomic units of low abundance. -
Bismis-2016 Abstract Book
BISMiS-2016 Abstract Book Third Meeting of Bergey's International Society for Microbial Systematics on Microbial Systematics and Metagenomics September 12-15, 2016 | Pune, INDIA PUNE UNIT Abstracts - Opening Address - Keynotes Abstract Book | BISMiS-2016 | Pune, India Opening Address TAXONOMY OF PROKARYOTES - NEW CHALLENGES IN A GLOBAL WORLD Peter Kämpfer* Justus-Liebig-University Giessen, HESSEN, Germany Email: [email protected] Systematics can be considered as a comprehensive science, because in science it is an essential aspect in comparing any two or more elements, whether they are genes or genomes, proteins or proteomes, biochemical pathways or metabolomes (just to list a few examples), or whole organisms. The development of high throughput sequencing techniques has led to an enormous amount of data (genomic and other “omic” data) and has also revealed an extensive diversity behind these data. These data are more and more used also in systematics and there is a strong trend to classify and name the taxonomic units in prokaryotic systematics preferably on the basis of sequence data. Unfortunately, the knowledge of the meaning behind the sequence data does not keep up with the tremendous increase of generated sequences. The extent of the accessory genome in any given cell, and perhaps the infinite extent of the pan-genome (as an aggregate of all the accessory genomes) is fascinating but it is an open question if and how these data should be used in systematics. Traditionally the polyphasic approach in bacterial systematics considers methods including both phenotype and genotype. And it is the phenotype that is (also) playing an essential role in driving the evolution. -
Lysine and Novel Hydroxylysine Lipids in Soil Bacteria: Amino Acid Membrane Lipid Response to Temperature and Ph in Pseudopedobacter Saltans
Rowan University Rowan Digital Works School of Earth & Environment Faculty Scholarship School of Earth & Environment 6-1-2015 Lysine and novel hydroxylysine lipids in soil bacteria: amino acid membrane lipid response to temperature and pH in Pseudopedobacter saltans Elisha Moore Rowan University Ellen Hopmans W. Irene Rijpstra Irene Sanchez Andrea Laura Villanueva See next page for additional authors Follow this and additional works at: https://rdw.rowan.edu/see_facpub Part of the Environmental Microbiology and Microbial Ecology Commons Recommended Citation Moore, E.K., Hopmans, E., Rijpstra, W.I.C., Sanchez-Andrea, I., Villanueva, L., Wienk, H., ...& Sinninghe Damste, J. (2015). Lysine and novel hydroxylysine lipids in soil bacteria: amino acid membrane lipid response to temperature and pH in Pseudopedobacter saltans. Frontiers in Microbiology, Volume 6, Article 637. This Article is brought to you for free and open access by the School of Earth & Environment at Rowan Digital Works. It has been accepted for inclusion in School of Earth & Environment Faculty Scholarship by an authorized administrator of Rowan Digital Works. Authors Elisha Moore, Ellen Hopmans, W. Irene Rijpstra, Irene Sanchez Andrea, Laura Villanueva, Hans Wienk, Frans Schoutsen, Alfons Stams, and Jaap Sinninghe Damsté This article is available at Rowan Digital Works: https://rdw.rowan.edu/see_facpub/17 ORIGINAL RESEARCH published: 29 June 2015 doi: 10.3389/fmicb.2015.00637 Lysine and novel hydroxylysine lipids in soil bacteria: amino acid membrane lipid response to temperature and pH in Pseudopedobacter saltans Eli K. Moore 1*, Ellen C. Hopmans 1, W. Irene C. Rijpstra 1, Irene Sánchez-Andrea 2, Laura Villanueva 1, Hans Wienk 3, Frans Schoutsen 4, Alfons J. -
Draft Genome Sequence of Pedobacter Agri PB92T, Which Belongs to the Family Sphingobacteriaceae
GENOME ANNOUNCEMENT Draft Genome Sequence of Pedobacter agri PB92T, Which Belongs to the Family Sphingobacteriaceae Myunglip Lee,a,b Seong Woon Roh,a Hae-Won Lee,a,c Kyung June Yim,a Kil-Nam Kim,a Jin-Woo Bae,c Kwang-Sik Choi,d You-Jin Jeon,d Won-Kyo Jung,e Heewan Kang,b Chang-Gu Hyun,f and Daekyung Kima Jeju Center, Korea Basic Science Institute, Jeju, Republic of Koreaa; Graduate School of Bio and Information Technology, Hankyong National University, Anseong, Republic of Koreab; Department of Life and Nanopharmaceutical Sciences and Department of Biology, Kyung Hee University, Seoul, Republic of Koreac; Department of Marine Life Science and Faculty of Marine Biomedical Science (POST BK 21), Jeju National University, Jeju, Republic of Koread; Department of Marine Life Science, Chosun University, Gwangju, Republic of Koreae; and Bio-Industry Development Center, Jeju Technopark, Jeju, Republic of Koreaf Downloaded from Strain PB92T of Pedobacter agri, which belongs to the family Sphingobacteriaceae, was isolated from soil in the Republic of Ko- rea. The draft genome of strain PB92T contains 5,141,552 bp, with a G؉C content of 38.0%. This is the third genome sequencing project of the type strains among the Pedobacter species. he genus Pedobacter, proposed by Steyn et al. (11), belongs to We thank the JDC (Jeju Free International City Development Center) http://jb.asm.org/ Tthe family Sphingobacteriaceae in the phylum Bacteroidetes. for assisting in the administration of the Jeju Center of Korea Basic Sci- Members of the genus Pedobacter are characterized as aerobic, ence Institute. Gram-negative, and rod-shaped bacteria having menaquinone 7 REFERENCES (MK-7) as a major isoprenoid quinone (12). -
Variability in Snake Skin Microbial Assemblages Across Spatial Scales and Disease States
The ISME Journal (2019) 13:2209–2222 https://doi.org/10.1038/s41396-019-0416-x ARTICLE Variability in snake skin microbial assemblages across spatial scales and disease states 1 2 1 1 2 Donald M. Walker ● Jacob E. Leys ● Matthew Grisnik ● Alejandro Grajal-Puche ● Christopher M. Murray ● Matthew C. Allender3 Received: 24 August 2018 / Revised: 10 April 2019 / Accepted: 12 April 2019 / Published online: 7 May 2019 © The Author(s) 2019. This article is published with open access Abstract Understanding how biological patterns translate into functional processes across different scales is a central question in ecology. Within a spatial context, extent is used to describe the overall geographic area of a study, whereas grain describes the overall unit of observation. This study aimed to characterize the snake skin microbiota (grain) and to determine host–microbial assemblage–pathogen effects across spatial extents within the Southern United States. The causative agent of snake fungal disease, Ophidiomyces ophiodiicola, is a fungal pathogen threatening snake populations. We hypothesized that the skin microbial assemblage of snakes differs from its surrounding environment, by host species, spatial scale, season, and 1234567890();,: 1234567890();,: in the presence of O. ophiodiicola. We collected snake skin swabs, soil samples, and water samples across six states in the Southern United States (macroscale extent), four Tennessee ecoregions (mesoscale extent), and at multiple sites within each Tennessee ecoregion (microscale extent). These samples were subjected to DNA extraction and quantitative PCR to determine the presence/absence of O. ophiodiicola. High-throughput sequencing was also utilized to characterize the microbial communities. We concluded that the snake skin microbial assemblage was partially distinct from environmental microbial communities. -
Benemérita Universidad Autónoma De Puebla
BENEMÉRITA UNIVERSIDAD AUTÓNOMA DE PUEBLA INSTITUTO DE CIENCIAS CENTRO DE INVESTIGACIONES EN CIENCIAS MICROBIOLÓGICAS POSGRADO EN MICROBIOLOGÍA DIVERSIDAD BACTERIANA METILOTRÓFICA ASOCIADA A LA CACTÁCEA Neobuxbaumia macrocephala, ENDÉMICA EN RIESGO DE LA RESERVA TEHUACÁN CUICATLÁN TESIS QUE PARA OBTENER EL GRADO DE: DOCTORA EN CIENCIAS (MICROBIOLOGÍA) PRESENTA: MC MARÍA DEL ROCÍO BUSTILLOS CRISTALES ASESOR DE TESIS: DC LUIS ERNESTO FUENTES RAMÍREZ PUEBLA, PUE. AGOSTO, 2017 Índice RESUMEN………………………………………………………............................1 ABSTRACT………………………………………………………………………..2 INTRODUCCIÓN………………………………………………………………….3 ANTECEDENTES………………………………………………...........................10 JUSTIFICACIÓN………………………………………………………………….11 OBJETIVOS……………………………………………………………………….11 General…………………………………………………………………………...11 Particulares……………………………………………………………………… 11 MATERIALES Y MÉTODOS…………………………………………………….12 1. Zona de muestreo…………………………………………………………..12 2. Aislamiento………………………………………………………………...13 3. Caracterización Fenotípica………………………………………………....13 3.1 Morfología microscópica ……………………………………………... 13 3.2 Morfología colonial…………………………………………………… 13 3.3 Características bioquímicas y fisiológicas de los aislados……………. 13 3.3.1. Pruebas Bioquímicas……………………………………….. 14 3.3.2 Crecimiento en diferentes fuentes de carbono……………… 14 3.3.3. Determinación de condiciones óptimas de crecimiento……. 14 3.3.3.1 Crecimiento a diferentes temperaturas……………. 14 3.3.3.2. Crecimiento bacteriano a diferentes pH………….. 14 3.3.3.3. Tolerancia a la presencia de cloruro de sodio……..15 en el medio 3.3.4 Comportamiento antimicrobiano…………………………….15 3.3.5 Crecimiento en metanol dependiente de Ca2+ y Ce3+ 15 4. Caracterización genotípica 15 4.1 Extracción de DNA genómico 15 4.2 PCR para la amplificación del gen que codifica la subunidad 16S rRNA 16 4.3 Amplificación del gen que codifica la subunidad 23S rRNA 16 i 4.4 Determinación de genes que codifican para la enzima metanol deshidrogenasa 17 4.4.1 PCR para amplificar genes involucrados en la metilotrofía 17 4.4.2.