Watershed Urbanization Linked to Differences in Stream Bacterial Community Composition
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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. -
Targeted Manipulation of Abundant and Rare Taxa in the Daphnia Magna Microbiota With
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.07.286427; this version posted September 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Targeted manipulation of abundant and rare taxa in the Daphnia magna microbiota with 2 antibiotics impacts host fitness differentially 3 4 Running title: Targeted microbiota manipulation impacts fitness 5 6 Reilly O. Coopera#, Janna M. Vavraa, Clayton E. Cresslera 7 1: School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA 8 9 Corresponding Author Information: 10 Reilly O. Cooper 11 [email protected] 12 13 14 Competing Interests: The authors have no competing interests to declare. 15 16 17 18 19 20 21 22 23 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.07.286427; this version posted September 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 24 Abstract 25 Host-associated microbes contribute to host fitness, but it is unclear whether these contributions 26 are from rare keystone taxa, numerically abundant taxa, or interactions among community 27 members. Experimental perturbation of the microbiota can highlight functionally important taxa; 28 however, this approach is primarily applied in systems with complex communities where the 29 perturbation affects hundreds of taxa, making it difficult to pinpoint contributions of key 30 community members. Here, we use the ecological model organism Daphnia magna to examine 31 the importance of rare and abundant taxa by perturbing its relatively simple microbiota with 32 targeted antibiotics. -
Supplementary Information for Microbial Electrochemical Systems Outperform Fixed-Bed Biofilters for Cleaning-Up Urban Wastewater
Electronic Supplementary Material (ESI) for Environmental Science: Water Research & Technology. This journal is © The Royal Society of Chemistry 2016 Supplementary information for Microbial Electrochemical Systems outperform fixed-bed biofilters for cleaning-up urban wastewater AUTHORS: Arantxa Aguirre-Sierraa, Tristano Bacchetti De Gregorisb, Antonio Berná, Juan José Salasc, Carlos Aragónc, Abraham Esteve-Núñezab* Fig.1S Total nitrogen (A), ammonia (B) and nitrate (C) influent and effluent average values of the coke and the gravel biofilters. Error bars represent 95% confidence interval. Fig. 2S Influent and effluent COD (A) and BOD5 (B) average values of the hybrid biofilter and the hybrid polarized biofilter. Error bars represent 95% confidence interval. Fig. 3S Redox potential measured in the coke and the gravel biofilters Fig. 4S Rarefaction curves calculated for each sample based on the OTU computations. Fig. 5S Correspondence analysis biplot of classes’ distribution from pyrosequencing analysis. Fig. 6S. Relative abundance of classes of the category ‘other’ at class level. Table 1S Influent pre-treated wastewater and effluents characteristics. Averages ± SD HRT (d) 4.0 3.4 1.7 0.8 0.5 Influent COD (mg L-1) 246 ± 114 330 ± 107 457 ± 92 318 ± 143 393 ± 101 -1 BOD5 (mg L ) 136 ± 86 235 ± 36 268 ± 81 176 ± 127 213 ± 112 TN (mg L-1) 45.0 ± 17.4 60.6 ± 7.5 57.7 ± 3.9 43.7 ± 16.5 54.8 ± 10.1 -1 NH4-N (mg L ) 32.7 ± 18.7 51.6 ± 6.5 49.0 ± 2.3 36.6 ± 15.9 47.0 ± 8.8 -1 NO3-N (mg L ) 2.3 ± 3.6 1.0 ± 1.6 0.8 ± 0.6 1.5 ± 2.0 0.9 ± 0.6 TP (mg -
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). -
Which Organisms Are Used for Anti-Biofouling Studies
Table S1. Semi-systematic review raw data answering: Which organisms are used for anti-biofouling studies? Antifoulant Method Organism(s) Model Bacteria Type of Biofilm Source (Y if mentioned) Detection Method composite membranes E. coli ATCC25922 Y LIVE/DEAD baclight [1] stain S. aureus ATCC255923 composite membranes E. coli ATCC25922 Y colony counting [2] S. aureus RSKK 1009 graphene oxide Saccharomycetes colony counting [3] methyl p-hydroxybenzoate L. monocytogenes [4] potassium sorbate P. putida Y. enterocolitica A. hydrophila composite membranes E. coli Y FESEM [5] (unspecified/unique sample type) S. aureus (unspecified/unique sample type) K. pneumonia ATCC13883 P. aeruginosa BAA-1744 composite membranes E. coli Y SEM [6] (unspecified/unique sample type) S. aureus (unspecified/unique sample type) graphene oxide E. coli ATCC25922 Y colony counting [7] S. aureus ATCC9144 P. aeruginosa ATCCPAO1 composite membranes E. coli Y measuring flux [8] (unspecified/unique sample type) graphene oxide E. coli Y colony counting [9] (unspecified/unique SEM sample type) LIVE/DEAD baclight S. aureus stain (unspecified/unique sample type) modified membrane P. aeruginosa P60 Y DAPI [10] Bacillus sp. G-84 LIVE/DEAD baclight stain bacteriophages E. coli (K12) Y measuring flux [11] ATCC11303-B4 quorum quenching P. aeruginosa KCTC LIVE/DEAD baclight [12] 2513 stain modified membrane E. coli colony counting [13] (unspecified/unique colony counting sample type) measuring flux S. aureus (unspecified/unique sample type) modified membrane E. coli BW26437 Y measuring flux [14] graphene oxide Klebsiella colony counting [15] (unspecified/unique sample type) P. aeruginosa (unspecified/unique sample type) graphene oxide P. aeruginosa measuring flux [16] (unspecified/unique sample type) composite membranes E. -
Taxonomy JN869023
Species that differentiate periods of high vs. low species richness in unattached communities Species Taxonomy JN869023 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales; ACK-M1 JN674641 Bacteria; Bacteroidetes; [Saprospirae]; [Saprospirales]; Chitinophagaceae; Sediminibacterium JN869030 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales; ACK-M1 U51104 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae; Limnohabitans JN868812 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae JN391888 Bacteria; Planctomycetes; Planctomycetia; Planctomycetales; Planctomycetaceae; Planctomyces HM856408 Bacteria; Planctomycetes; Phycisphaerae; Phycisphaerales GQ347385 Bacteria; Verrucomicrobia; [Methylacidiphilae]; Methylacidiphilales; LD19 GU305856 Bacteria; Proteobacteria; Alphaproteobacteria; Rickettsiales; Pelagibacteraceae GQ340302 Bacteria; Actinobacteria; Actinobacteria; Actinomycetales JN869125 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae New.ReferenceOTU470 Bacteria; Cyanobacteria; ML635J-21 JN679119 Bacteria; Proteobacteria; Betaproteobacteria; Burkholderiales; Comamonadaceae HM141858 Bacteria; Acidobacteria; Holophagae; Holophagales; Holophagaceae; Geothrix FQ659340 Bacteria; Verrucomicrobia; [Pedosphaerae]; [Pedosphaerales]; auto67_4W AY133074 Bacteria; Elusimicrobia; Elusimicrobia; Elusimicrobiales FJ800541 Bacteria; Verrucomicrobia; [Pedosphaerae]; [Pedosphaerales]; R4-41B JQ346769 Bacteria; Acidobacteria; [Chloracidobacteria]; RB41; Ellin6075 -
Distinct Microbial Assemblages Associated with Genetic Selection for High- and Low- Muscle Yield in Rainbow Trout
Distinct microbial assemblages associated with genetic selection for high- and low- muscle yield in rainbow trout Pratima Chapagain Middle Tennessee State University Donald Walker Middle Tennessee State University Tim Leeds USDA-ARS National Center for Cool and Cold Water Aquaculture Beth M Cleveland USDA-ARS National Center for Cool and Cold Water Aquaculture Mohamed Salem ( [email protected] ) Department of Animal and Avian Sciences, University of Maryland, college park https://orcid.org/0000- 0003-2142-6716 Research article Keywords: Aquaculture, Gut microbe function, Microbiota, Selective Breeding, Muscle yield, llet, ARS-FY- H, ARS-FY-L Posted Date: November 10th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-26816/v3 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on November 23rd, 2020. See the published version at https://doi.org/10.1186/s12864-020-07204-7. Page 1/22 Abstract Background Fish gut microbial assemblages play a crucial role in the growth rate, metabolism, and immunity of the host. We hypothesized that the gut microbiota of rainbow trout was correlated with breeding program based genetic selection for muscle yield. To test this hypothesis, fecal samples from 19 sh representing an F2 high-muscle genetic line (ARS-FY-H) and 20 sh representing an F1 low-muscle yield genetic line (ARS-FY-L) were chosen for microbiota proling using the 16S rRNA gene. Signicant differences in microbial population between these two genetic lines might represent the effect of host genetic selection in structuring the gut microbiota of the host. -
Prokaryotic Community Structure and Respiration During Longterm
Prokaryotic community structure and respiration during long-term incubations Federico Baltar1, Markus V. Lindh1, Arkadi Parparov2, Tom Berman2 & Jarone Pinhassi1 1Marine Microbiology, School of Natural Sciences, Linnaeus University, Barlastgatan 11, SE-391 82, Kalmar, Sweden 2The Yigal Allon Kinneret Limnological Laboratory, Israel Oceanographic and Limnological Research IL-14102, Tiberias, Israel Keywords Abstract Bacterioplankton, biological oxygen demand, community composition, incubation, Despite the importance of incubation assays for studies in microbial ecology that fre- respiration. quently require long confinement times, few reports are available in which changes in the assemblage structure of aquatic prokaryotes were monitored during long- Correspondence term incubations. We measured rates of dissolved organic carbon degradation and Federico Baltar, Marine Microbiology, School of microbial respiration by consumption of dissolved oxygen (DO) in four experi- Natural Sciences, Linnaeus University, Barlastgatan 11, SE-391 82 Kalmar, Sweden. ments with Lake Kinneret near-surface water and, concomitantly, we analyzed the Tel: +46-480-447315; Fax: +46-480-447305; variability in prokaryotic community structure during long-term dark bottle incu- E-mail: [email protected] bations. During the first 24 h, there were only minor changes in bacterial community composition. Thereafter there were marked changes in the prokaryotic community Supported by the European Science Foundation EuroEEFG project MOCA, the structure during the incubations. In contrast, oxygen consumption rates (a proxy Crafoord Foundation, and the Swedish for both respiration and dissolved organic carbon degradation rates) remained sta- Research Council. ble for up to 10–23 days. This study is one of the first to examine closely the phylo- Received: 17 February 2012; Revised: 20 April genetic changes that occur in the microbial community of untreated freshwater 2012; Accepted: 23 April 2012 during long-term (days) incubations in dark, sealed containers. -
Halophilic Bacteroidetes As an Example on How Their Genomes Interact with the Environment
DOCTORAL THESIS 2020 PHYLOGENOMICS OF BACTEROIDETES; HALOPHILIC BACTEROIDETES AS AN EXAMPLE ON HOW THEIR GENOMES INTERACT WITH THE ENVIRONMENT Raúl Muñoz Jiménez DOCTORAL THESIS 2020 Doctoral Programme of Environmental and Biomedical Microbiology PHYLOGENOMICS OF BACTEROIDETES; HALOPHILIC BACTEROIDETES AS AN EXAMPLE ON HOW THEIR GENOMES INTERACT WITH THE ENVIRONMENT Raúl Muñoz Jiménez Thesis Supervisor: Ramon Rosselló Móra Thesis Supervisor: Rudolf Amann Thesis tutor: Elena I. García-Valdés Pukkits Doctor by the Universitat de les Illes Balears Publications resulted from this thesis Munoz, R., Rosselló-Móra, R., & Amann, R. (2016). Revised phylogeny of Bacteroidetes and proposal of sixteen new taxa and two new combinations including Rhodothermaeota phyl. nov. Systematic and Applied Microbiology, 39(5), 281–296 Munoz, R., Rosselló-Móra, R., & Amann, R. (2016). Corrigendum to “Revised phylogeny of Bacteroidetes and proposal of sixteen new taxa and two new combinations including Rhodothermaeota phyl. nov.” [Syst. Appl. Microbiol. 39 (5) (2016) 281–296]. Systematic and Applied Microbiology, 39, 491–492. Munoz, R., Amann, R., & Rosselló-Móra, R. (2019). Ancestry and adaptive radiation of Bacteroidetes as assessed by comparative genomics. Systematic and Applied Microbiology, 43(2), 126065. Dr. Ramon Rosselló Móra, of the Institut Mediterrani d’Estudis Avançats, Esporles and Dr. Rudolf Amann, of the Max-Planck-Institute für Marine Mikrobiologie, Bremen WE DECLARE: That the thesis titled Phylogenomics of Bacteroidetes; halophilic Bacteroidetes as an example on how their genomes interact with the environment, presented by Raúl Muñoz Jiménez to obtain a doctoral degree, has been completed under our supervision and meets the requirements to opt for an International Doctorate. For all intents and purposes, we hereby sign this document. -
Aquirufa Antheringensis Gen. Nov., Sp. Nov. and Aquirufa Nivalisilvae Sp
TAXONOMIC DESCRIPTION Pitt et al., Int J Syst Evol Microbiol 2019;69:2739–2749 DOI 10.1099/ijsem.0.003554 Aquirufa antheringensis gen. nov., sp. nov. and Aquirufa nivalisilvae sp. nov., representing a new genus of widespread freshwater bacteria Alexandra Pitt,* Johanna Schmidt, Ulrike Koll and Martin W. Hahn Abstract Three bacterial strains, 30S-ANTBAC, 103A-SOEBACH and 59G- WUEMPEL, were isolated from two small freshwater creeks and an intermittent pond near Salzburg, Austria. Phylogenetic reconstructions with 16S rRNA gene sequences and, genome based, with amino acid sequences obtained from 119 single copy genes showed that the three strains represent a new genus of the family Cytophagaceae within a clade formed by the genera Pseudarcicella, Arcicella and Flectobacillus. BLAST searches suggested that the new genus comprises widespread freshwater bacteria. Phenotypic, chemotaxonomic and genomic traits were investigated. Cells were rod shaped and were able to glide on soft agar. All strains grew chemoorganotrophically and aerobically, were able to assimilate pectin and showed an intense red pigmentation putatively due to various carotenoids. Two strains possessed genes putatively encoding proteorhodopsin and retinal biosynthesis. Genome sequencing revealed genome sizes between 2.5 and 3.1 Mbp and G+C contents between 38.0 and 42.7 mol%. For the new genus we propose the name Aquirufa gen. nov. Pairwise-determined whole-genome average nucleotide identity values suggested that the three strains represent two new species within the new genus for which we propose the names Aquirufa antheringensis sp. nov. for strain 30S-ANTBACT (=JCM 32977T =LMG 31079T=DSM 108553T) as type species of the genus, to which also belongs strain 103A-SOEBACH (=DSM 108555=LMG 31082) and Aquirufa nivalisilvae sp. -
Microbial Degradation of Organic Micropollutants in Hyporheic Zone Sediments
Microbial degradation of organic micropollutants in hyporheic zone sediments Dissertation To obtain the Academic Degree Doctor rerum naturalium (Dr. rer. nat.) Submitted to the Faculty of Biology, Chemistry, and Geosciences of the University of Bayreuth by Cyrus Rutere Bayreuth, May 2020 This doctoral thesis was prepared at the Department of Ecological Microbiology – University of Bayreuth and AG Horn – Institute of Microbiology, Leibniz University Hannover, from August 2015 until April 2020, and was supervised by Prof. Dr. Marcus. A. Horn. This is a full reprint of the dissertation submitted to obtain the academic degree of Doctor of Natural Sciences (Dr. rer. nat.) and approved by the Faculty of Biology, Chemistry, and Geosciences of the University of Bayreuth. Date of submission: 11. May 2020 Date of defense: 23. July 2020 Acting dean: Prof. Dr. Matthias Breuning Doctoral committee: Prof. Dr. Marcus. A. Horn (reviewer) Prof. Harold L. Drake, PhD (reviewer) Prof. Dr. Gerhard Rambold (chairman) Prof. Dr. Stefan Peiffer In the battle between the stream and the rock, the stream always wins, not through strength but by perseverance. Harriett Jackson Brown Jr. CONTENTS CONTENTS CONTENTS ............................................................................................................................ i FIGURES.............................................................................................................................. vi TABLES ..............................................................................................................................