Edinburgh Research Explorer
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 -
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. -
A Noval Investigation of Microbiome from Vermicomposting Liquid Produced by Thai Earthworm, Perionyx Sp
International Journal of Agricultural Technology 2021Vol. 17(4):1363-1372 Available online http://www.ijat-aatsea.com ISSN 2630-0192 (Online) A novel investigation of microbiome from vermicomposting liquid produced by Thai earthworm, Perionyx sp. 1 Kraisittipanit, R.1,2, Tancho, A.2,3, Aumtong, S.3 and Charerntantanakul, W.1* 1Program of Biotechnology, Faculty of Science, Maejo University, Chiang Mai, Thailand; 2Natural Farming Research and Development Center, Maejo University, Chiang Mai, Thailand; 3Faculty of Agricultural Production, Maejo University, Thailand. Kraisittipanit, R., Tancho, A., Aumtong, S. and Charerntantanakul, W. (2021). A noval investigation of microbiome from vermicomposting liquid produced by Thai earthworm, Perionyx sp. 1. International Journal of Agricultural Technology 17(4):1363-1372. Abstract The whole microbiota structure in vermicomposting liquid derived from Thai earthworm, Perionyx sp. 1 was estimated. It showed high richness microbial species and belongs to 127 species, separated in 3 fungal phyla (Ascomycota, Basidiomycota, Mucoromycota), 1 Actinomycetes and 16 bacterial phyla (Acidobacteria, Armatimonadetes, Bacteroidetes, Balneolaeota, Candidatus, Chloroflexi, Deinococcus, Fibrobacteres, Firmicutes, Gemmatimonadates, Ignavibacteriae, Nitrospirae, Planctomycetes, Proteobacteria, Tenericutes and Verrucomicrobia). The OTUs data analysis revealed the highest taxonomic abundant ratio in bacteria and fungi belong to Proteobacteria (70.20 %) and Ascomycota (5.96 %). The result confirmed that Perionyx sp. 1 -
Genome Sequence of Pedobacter Glucosidilyticus Dd6b, Isolated from Zooplankton Daphnia Magna Anja Poehlein1, Rolf Daniel1 and Diliana D
Poehlein et al. Standards in Genomic Sciences (2015) 10:100 DOI 10.1186/s40793-015-0086-x SHORT GENOME REPORT Open Access Genome sequence of Pedobacter glucosidilyticus DD6b, isolated from zooplankton Daphnia magna Anja Poehlein1, Rolf Daniel1 and Diliana D. Simeonova2,3* Abstract The phosphite assimilating bacterium, P. glucosidilyticus DD6b, was isolated from the gut of the zooplankton Daphnia magna. Its 3,872,381 bp high-quality draft genome is arranged into 93 contigs containing 3311 predicted protein-coding and 41 RNA-encoding genes. This genome report presents the specific properties and common features of P. glucosidilyticus DD6b genome in comparison with the genomes of P. glucosidilyticus type strain DSM 23,534, and another five Pedobacter type strains with publicly available completely sequenced genomes. Here, we present the first journal report on P. glucosidilyticus genome sequence and provide information on a new specific physiological determinant of P. glucosidilyticus species. Keywords: Pedobacter glucosidilyticus, Phosphite assimilation, Sphingobacteriia Introduction 2-AEP or ciliatine serves as a precursor in the biosynthesis Pedobacter glucosidilyticus strain DD6b was isolated from of phosphonolipids in marine single celled organisms, sea the crustacean Daphnia magna gut microbial community. anemones or ciliated protozoan. Recently, a sphingo- During a study on nutritional needs of D. magna, the gut phosphonolipid was found in Bacteriovorax stolpii,a microbiota was investigated over time, under starvation facultative predator that parasitizes larger Gram-negative stress and after host death [1, 2]. bacteria [16]. Daphnia spp. are small members of the zooplankton Tests with newly isolated P. glucosidilyticus DD6b re- and key organisms in freshwater food webs. -
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.