Complete Genome Sequence of Mucilaginibacter Ginsenosidivorax KHI-28T, a Ginsenoside-Converting Bacterium, Isolated from Sediment
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Community Analysis of Microbial Sharing and Specialization in A
Downloaded from http://rspb.royalsocietypublishing.org/ on March 15, 2017 Community analysis of microbial sharing rspb.royalsocietypublishing.org and specialization in a Costa Rican ant–plant–hemipteran symbiosis Elizabeth G. Pringle1,2 and Corrie S. Moreau3 Research 1Department of Biology, Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Cite this article: Pringle EG, Moreau CS. 2017 Reno, NV 89557, USA 2Michigan Society of Fellows, University of Michigan, Ann Arbor, MI 48109, USA Community analysis of microbial sharing and 3Department of Science and Education, Field Museum of Natural History, 1400 South Lake Shore Drive, specialization in a Costa Rican ant–plant– Chicago, IL 60605, USA hemipteran symbiosis. Proc. R. Soc. B 284: EGP, 0000-0002-4398-9272 20162770. http://dx.doi.org/10.1098/rspb.2016.2770 Ants have long been renowned for their intimate mutualisms with tropho- bionts and plants and more recently appreciated for their widespread and diverse interactions with microbes. An open question in symbiosis research is the extent to which environmental influence, including the exchange of Received: 14 December 2016 microbes between interacting macroorganisms, affects the composition and Accepted: 17 January 2017 function of symbiotic microbial communities. Here we approached this ques- tion by investigating symbiosis within symbiosis. Ant–plant–hemipteran symbioses are hallmarks of tropical ecosystems that produce persistent close contact among the macroorganism partners, which then have substantial opportunity to exchange symbiotic microbes. We used metabarcoding and Subject Category: quantitative PCR to examine community structure of both bacteria and Ecology fungi in a Neotropical ant–plant–scale-insect symbiosis. Both phloem-feed- ing scale insects and honeydew-feeding ants make use of microbial Subject Areas: symbionts to subsist on phloem-derived diets of suboptimal nutritional qual- ecology, evolution, microbiology ity. -
Metaproteogenomic Insights Beyond Bacterial Response to Naphthalene
ORIGINAL ARTICLE ISME Journal – Original article Metaproteogenomic insights beyond bacterial response to 5 naphthalene exposure and bio-stimulation María-Eugenia Guazzaroni, Florian-Alexander Herbst, Iván Lores, Javier Tamames, Ana Isabel Peláez, Nieves López-Cortés, María Alcaide, Mercedes V. del Pozo, José María Vieites, Martin von Bergen, José Luis R. Gallego, Rafael Bargiela, Arantxa López-López, Dietmar H. Pieper, Ramón Rosselló-Móra, Jesús Sánchez, Jana Seifert and Manuel Ferrer 10 Supporting Online Material includes Text (Supporting Materials and Methods) Tables S1 to S9 Figures S1 to S7 1 SUPPORTING TEXT Supporting Materials and Methods Soil characterisation Soil pH was measured in a suspension of soil and water (1:2.5) with a glass electrode, and 5 electrical conductivity was measured in the same extract (diluted 1:5). Primary soil characteristics were determined using standard techniques, such as dichromate oxidation (organic matter content), the Kjeldahl method (nitrogen content), the Olsen method (phosphorus content) and a Bernard calcimeter (carbonate content). The Bouyoucos Densimetry method was used to establish textural data. Exchangeable cations (Ca, Mg, K and 10 Na) extracted with 1 M NH 4Cl and exchangeable aluminium extracted with 1 M KCl were determined using atomic absorption/emission spectrophotometry with an AA200 PerkinElmer analyser. The effective cation exchange capacity (ECEC) was calculated as the sum of the values of the last two measurements (sum of the exchangeable cations and the exchangeable Al). Analyses were performed immediately after sampling. 15 Hydrocarbon analysis Extraction (5 g of sample N and Nbs) was performed with dichloromethane:acetone (1:1) using a Soxtherm extraction apparatus (Gerhardt GmbH & Co. -
Table S1. Bacterial Otus from 16S Rrna
Table S1. Bacterial OTUs from 16S rRNA sequencing analysis including only taxa which were identified to genus level (those OTUs identified as Ambiguous taxa, uncultured bacteria or without genus-level identifications were omitted). OTUs with only a single representative across all samples were also omitted. Taxa are listed from most to least abundant. Pitcher Plant Sample Class Order Family Genus CB1p1 CB1p2 CB1p3 CB1p4 CB5p234 Sp3p2 Sp3p4 Sp3p5 Sp5p23 Sp9p234 sum Gammaproteobacteria Legionellales Coxiellaceae Rickettsiella 1 2 0 1 2 3 60194 497 1038 2 61740 Alphaproteobacteria Rhodospirillales Rhodospirillaceae Azospirillum 686 527 10513 485 11 3 2 7 16494 8201 36929 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Pedobacter 455 302 873 103 16 19242 279 55 760 1077 23162 Betaproteobacteria Burkholderiales Oxalobacteraceae Duganella 9060 5734 2660 40 1357 280 117 29 129 35 19441 Gammaproteobacteria Pseudomonadales Pseudomonadaceae Pseudomonas 3336 1991 3475 1309 2819 233 1335 1666 3046 218 19428 Betaproteobacteria Burkholderiales Burkholderiaceae Paraburkholderia 0 1 0 1 16051 98 41 140 23 17 16372 Sphingobacteriia Sphingobacteriales Sphingobacteriaceae Mucilaginibacter 77 39 3123 20 2006 324 982 5764 408 21 12764 Gammaproteobacteria Pseudomonadales Moraxellaceae Alkanindiges 9 10 14 7 9632 6 79 518 1183 65 11523 Betaproteobacteria Neisseriales Neisseriaceae Aquitalea 0 0 0 0 1 1577 5715 1471 2141 177 11082 Flavobacteriia Flavobacteriales Flavobacteriaceae Flavobacterium 324 219 8432 533 24 123 7 15 111 324 10112 Alphaproteobacteria -
Leadbetterella Byssophila Type Strain (4M15)
Lawrence Berkeley National Laboratory Recent Work Title Complete genome sequence of Leadbetterella byssophila type strain (4M15). Permalink https://escholarship.org/uc/item/907989cw Journal Standards in genomic sciences, 4(1) ISSN 1944-3277 Authors Abt, Birte Teshima, Hazuki Lucas, Susan et al. Publication Date 2011-03-04 DOI 10.4056/sigs.1413518 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Standards in Genomic Sciences (2011) 4:2-12 DOI:10.4056/sigs.1413518 Complete genome sequence of Leadbetterella byssophila type strain (4M15T) Birte Abt1, Hazuki Teshima2,3, Susan Lucas2, Alla Lapidus2, Tijana Glavina Del Rio2, Matt Nolan2, Hope Tice2, Jan-Fang Cheng2, Sam Pitluck2, Konstantinos Liolios2, Ioanna Pagani2, Natalia Ivanova2, Konstantinos Mavromatis2, Amrita Pati2, Roxane Tapia2,3, Cliff Han2,3, Lynne Goodwin2,3, Amy Chen4, Krishna Palaniappan4, Miriam Land2,5, Loren Hauser2,5, Yun-Juan Chang2,5, Cynthia D. Jeffries2,5, Manfred Rohde6, Markus Göker1, Brian J. Tindall1, John C. Detter2,3, Tanja Woyke2, James Bristow2, Jonathan A. Eisen2,7, Victor Markowitz4, Philip Hugenholtz2,8, Hans-Peter Klenk1, and Nikos C. Kyrpides2* 1 DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany 2 DOE Joint Genome Institute, Walnut Creek, California, USA 3 Los Alamos National Laboratory, Bioscience Division, Los Alamos, New Mexico USA 4 Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, California, USA 5 Lawrence Livermore National Laboratory, Livermore, California, USA 6 HZI – Helmholtz Centre for Infection Research, Braunschweig, Germany 7 University of California Davis Genome Center, Davis, California, USA 8 Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia *Corresponding author: Nikos C. -
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). -
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). -
University of California Riverside
UNIVERSITY OF CALIFORNIA RIVERSIDE Selective Association Between the Free-Living Nematode Acrobeloides maximus and Soil Bacteria A Thesis submitted in partial satisfaction of the requirements for the degree of Master of Science in Genetics, Genomics and Bioinformatics by Sammy Farid Sedky June 2013 Thesis Committee: Dr. Paul De Ley, Chairperson Dr. Paul Orwin Dr. David Crowley Copyright by Sammy Farid Sedky 2013 The Thesis of Sammy Farid Sedky is approved: Committee Chairperson University of California, Riverside ACKNOWLEDGMENTS This master thesis would not have been possible without the help of several individuals who contributed their time, assistance, and expertise to the completion of this work: • To my advisor, Dr. Paul De Ley: Thank you for giving me a lab I could call home, where I was welcome and where I could grow as a researcher and scholar. Your assistance in navigating the labyrinth of challenges involved in the writing and completion of this document has been invaluable. Thank you for your guidance and support. • To Dr. Paul Orwin: I will always be grateful for the kind tutelage you provided during your sabbatical stay at UCR. This study could not have been completed without your vigilance. • To Dr. David Crowley: Thank you for allowing us to use Science Lab I 308 to perform most of the wet lab work and for your assistance as a committee member in the review and editing of this thesis. • To my colleagues, Dr. JP Baquiran and Brian Thater: It was a blast working with you both. Thanks for the laughs and good times. iv UCR DEDICATIONS • To my friend and protégé, Rosalynn Duong: I could not have chosen a better undergraduate assistant. -
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. -
Mucilaginibacter Pineti Sp. Nov., Isolated from Pinus Pinaster Wood from a Mixed Grove of Pines Trees
International Journal of Systematic and Evolutionary Microbiology (2014), 64, 2223–2228 DOI 10.1099/ijs.0.057737-0 Mucilaginibacter pineti sp. nov., isolated from Pinus pinaster wood from a mixed grove of pines trees Gabriel Paiva,1 Pedro Abreu,1 Diogo Neves Proenc¸a,1 Susana Santos,1 Maria Fernanda Nobre2 and Paula V. Morais1,3 Correspondence 1IMAR-CMA, University of Coimbra, 3004-517 Coimbra, Portugal Paula V. Morais 2CNC-Center for Neuroscience and Cell Biology, University of Coimbra, [email protected] 3004-517 Coimbra, Portugal 3Department of Life Sciences, FCTUC, University of Coimbra, 3004-517 Coimbra, Portugal Bacterial strain M47C3BT was isolated from the endophytic microbial community of a Pinus pinaster tree branch from a mixed grove of pines. Phylogenetic analysis of 16S rRNA gene sequences showed that this organism represented one distinct branch within the family Sphingobacteriaceae, most closely related to the genus Mucilaginibacter. Strain M47C3BT formed a distinct lineage, closely related to Mucilaginibacter dorajii KACC 14556T, with which it shared 97.2 % 16S rRNA gene sequence similarity. The other members of the genus Mucilaginibacter included in the same clade were Mucilaginibacter lappiensis ATCC BAA-1855T sharing 97.0 % similarity and Mucilaginibacter composti TR6-03T that had a lower similarity (95.7 %). The novel strain was Gram-staining-negative, formed rod-shaped cells, grew optimally at 26 6C and at pH 7, and was able to grow with up to 0.3 % (w/v) NaCl. The respiratory quinone was menaquinone 7 (MK-7) and the major fatty acids of the strain were summed feature 3 (C16 : 1v7c/iso-C15 : 0 2-OH), iso-C15 : 0 and iso-C17 : 0 3-OH, representing 73.5 % of the total fatty acids. -
Mucilaginibacter Pedocola TBZ30T Xia Fan, Jingwei Tang, Li Nie, Jing Huang and Gejiao Wang*
Fan et al. Standards in Genomic Sciences (2018) 13:34 https://doi.org/10.1186/s40793-018-0337-8 SHORTGENOMEREPORT Open Access High-quality-draft genome sequence of the heavy metal resistant and exopolysaccharides producing bacterium Mucilaginibacter pedocola TBZ30T Xia Fan, Jingwei Tang, Li Nie, Jing Huang and Gejiao Wang* Abstract Mucilaginibacter pedocola TBZ30T (= CCTCC AB 2015301T = KCTC 42833T) is a Gram- negative, rod-shaped, non- motile and non-spore-forming bacterium isolated from a heavy metal contaminated paddy field. It shows resistance to multiple heavy metals and can adsorb/remove Zn2+ and Cd2+ during cultivation. In addition, strain TBZ30T produces exopolysaccharides (EPS). These features make it a great potential to bioremediate heavy metal contamination and biotechnical application. Here we describe the genome sequence and annotation of strain TBZ30T. The genome size is 7,035,113 bp, contains 3132 protein-coding genes (2736 with predicted functions), 50 tRNA encoding genes and 14 rRNA encoding genes. Putative heavy metal resistant genes and EPS associated genes are found in the genome. Keywords: Mucilaginibacter pedocola, Genome sequence, Heavy metal resistance, Exopolysaccharides Introduction addition, strain TBZ30T is able to produce EPS. The The genus Mucilaginibacter was first established by genomic information of strain TBZ30T are provided. Pankratov et al. in 2007 and the type species is Mucilagi- nibacter paludis [1]. The common characteristics of this Organism information genus are Gram-negative, non-spore-forming, non- Classification and features motile, rod-shaped and producing exopolysaccharides Similarity analysis was performed using neighbor-joining (EPS) [1, 2]. EPS are long-chain polysaccharides and method based on the 16S rRNA gene sequences and a consist of branched, repeating units of sugars or sugar phylogenetic tree was constructed using MEGA version 6.0 derivatives [3]. -
Mucilaginibacter Frigoritolerans Sp. Nov., Mucilaginibacter Lappiensis Sp
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Jukuri International Journal of Systematic and Evolutionary Microbiology (2010), 60, 2849–2856 DOI 10.1099/ijs.0.019364-0 Mucilaginibacter frigoritolerans sp. nov., Mucilaginibacter lappiensis sp. nov. and Mucilaginibacter mallensis sp. nov., isolated from soil and lichen samples Minna K. Ma¨nnisto¨,1 Marja Tiirola,2 Jennifer McConnell3 and Max M. Ha¨ggblom3 Correspondence 1Finnish Forest Research Institute, Etela¨ranta 55, FI-96300 Rovaniemi, Finland Minna K. Ma¨nnisto¨ 2Department of Biological and Environmental Science, University of Jyva¨skyla¨, FI-40014 Jyva¨skyla¨, [email protected] Finland 3Department of Biochemistry and Microbiology, Rutgers University, 76 Lipman Drive, New Brunswick, NJ 08901, USA Five cold-adapted bacteria belonging to the genus Mucilaginibacter were isolated from lichen and soil samples collected from Finnish Lapland and investigated in detail by phenotypic and phylogenetic analyses. Based on 16S rRNA gene phylogeny, the novel strains represent three new branches within the genus Mucilaginibacter. The strains were aerobic, chemo-organotrophic, non-motile rods and formed pigmented, smooth, mucoid colonies on solid media. The strains grew between 0 and 33 6C (optimum growth at 25 6C) and at pH 4.5–8.0 (optimum growth at pH 6.0). The main cellular fatty acids were iso-C15 : 0, summed feature 3 (C16 : 1v7c/iso-C15 : 0 2- OH) and iso-C17 : 0 3-OH and the major respiratory quinone was MK-7. The DNA G+C contents were 44.0–46.5 mol%. Based on phylogenetic, phenotypic and chemotaxonomic data, the strains represent three novel species of the genus Mucilaginibacter for which the names Mucilaginibacter frigoritolerans sp.