Sparus Aurata) and Sea Bass (Dicentrarchus Labrax)
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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. -
Comamonas: Relationship to Aquaspirillum Aquaticum, E
INTERNATIONALJOURNAL OF SYSTEMATICBACTERIOLOGY, July 1991, p. 427-444 Vol. 41, No. 3 0020-7713/91/030427- 18$02 .OO/O Copyright 0 1991, International Union of Microbiological Societies Polyphasic Taxonomic Study of the Emended Genus Comamonas: Relationship to Aquaspirillum aquaticum, E. Falsen Group 10, and Other Clinical Isolates A. WILLEMS,l B. POT,l E. FALSEN,2 P. VANDAMME,' M. GILLIS,l* K. KERSTERS,l AND J. DE LEY' Laboratorium voor Microbiologie en Microbiele Genetica, Rijksuniversiteit, B-9000 Ghent, Belgium, and Culture Collection, Department of Clinical Bacteriology, University of Goteborg, S-413 46 Goteborg, Sweden2 We used DNA-rRNA hybridization, DNA base composition, polyacrylamide gel electrophoresis of whole-cell proteins, DNA-DNA hybridization, numerical analysis of phenotypic features, and immunotyping to study the taxonomy of the genus Comamonas. The relationships of this genus to Aquaspirillum aquaticum and a group of clinical isolates (E. Falsen group 10 [EF lo]) were studied. Our DNA and rRNA hybridization results indicate that the genus Comamonas consists of at least the following five genotypic groups: (i) Comamonas acidovoruns, (ii) Comamonas fesfosferoni,(iii) Comamonas ferrigena, (iv) A. aquaticum and a number of EF 10 strains, and (v) other EF 10 strains, several unnamed clinical isolates, and some misnamed strains of Pseudomonas alcaligenes and Pseudomonas pseudoalcaligenes subsp. pseudoalcaligenes. The existence of these five groups was confirmed by the results of immunotyping and protein gel electrophoresis. A numerical analysis of morpho- logical, auxanographic, and biochemical data for the same organisms revealed the existence of three large phena. Two of these phena (C. acidovorans and C. tesfosferoni)correspond to two of the genotypic groups. -
Response of Heterotrophic Stream Biofilm Communities to a Gradient of Resources
The following supplement accompanies the article Response of heterotrophic stream biofilm communities to a gradient of resources D. J. Van Horn1,*, R. L. Sinsabaugh1, C. D. Takacs-Vesbach1, K. R. Mitchell1,2, C. N. Dahm1 1Department of Biology, University of New Mexico, Albuquerque, New Mexico 87131, USA 2Present address: Department of Microbiology & Immunology, University of British Columbia Life Sciences Centre, Vancouver BC V6T 1Z3, Canada *Email: [email protected] Aquatic Microbial Ecology 64:149–161 (2011) Table S1. Representative sequences for each OTU, associated GenBank accession numbers, and taxonomic classifications with bootstrap values (in parentheses), generated in mothur using 14956 reference sequences from the SILVA data base Treatment Accession Sequence name SILVA taxonomy classification number Control JF695047 BF8FCONT18Fa04.b1 Bacteria(100);Proteobacteria(100);Gammaproteobacteria(100);Pseudomonadales(100);Pseudomonadaceae(100);Cellvibrio(100);unclassified; Control JF695049 BF8FCONT18Fa12.b1 Bacteria(100);Proteobacteria(100);Alphaproteobacteria(100);Rhizobiales(100);Methylocystaceae(100);uncultured(100);unclassified; Control JF695054 BF8FCONT18Fc01.b1 Bacteria(100);Planctomycetes(100);Planctomycetacia(100);Planctomycetales(100);Planctomycetaceae(100);Isosphaera(50);unclassified; Control JF695056 BF8FCONT18Fc04.b1 Bacteria(100);Proteobacteria(100);Gammaproteobacteria(100);Xanthomonadales(100);Xanthomonadaceae(100);uncultured(64);unclassified; Control JF695057 BF8FCONT18Fc06.b1 Bacteria(100);Proteobacteria(100);Betaproteobacteria(100);Burkholderiales(100);Comamonadaceae(100);Ideonella(54);unclassified; -
A Taxonomic Note on the Genus Lactobacillus
Taxonomic Description template 1 A taxonomic note on the genus Lactobacillus: 2 Description of 23 novel genera, emended description 3 of the genus Lactobacillus Beijerinck 1901, and union 4 of Lactobacillaceae and Leuconostocaceae 5 Jinshui Zheng1, $, Stijn Wittouck2, $, Elisa Salvetti3, $, Charles M.A.P. Franz4, Hugh M.B. Harris5, Paola 6 Mattarelli6, Paul W. O’Toole5, Bruno Pot7, Peter Vandamme8, Jens Walter9, 10, Koichi Watanabe11, 12, 7 Sander Wuyts2, Giovanna E. Felis3, #*, Michael G. Gänzle9, 13#*, Sarah Lebeer2 # 8 '© [Jinshui Zheng, Stijn Wittouck, Elisa Salvetti, Charles M.A.P. Franz, Hugh M.B. Harris, Paola 9 Mattarelli, Paul W. O’Toole, Bruno Pot, Peter Vandamme, Jens Walter, Koichi Watanabe, Sander 10 Wuyts, Giovanna E. Felis, Michael G. Gänzle, Sarah Lebeer]. 11 The definitive peer reviewed, edited version of this article is published in International Journal of 12 Systematic and Evolutionary Microbiology, https://doi.org/10.1099/ijsem.0.004107 13 1Huazhong Agricultural University, State Key Laboratory of Agricultural Microbiology, Hubei Key 14 Laboratory of Agricultural Bioinformatics, Wuhan, Hubei, P.R. China. 15 2Research Group Environmental Ecology and Applied Microbiology, Department of Bioscience 16 Engineering, University of Antwerp, Antwerp, Belgium 17 3 Dept. of Biotechnology, University of Verona, Verona, Italy 18 4 Max Rubner‐Institut, Department of Microbiology and Biotechnology, Kiel, Germany 19 5 School of Microbiology & APC Microbiome Ireland, University College Cork, Co. Cork, Ireland 20 6 University of Bologna, Dept. of Agricultural and Food Sciences, Bologna, Italy 21 7 Research Group of Industrial Microbiology and Food Biotechnology (IMDO), Vrije Universiteit 22 Brussel, Brussels, Belgium 23 8 Laboratory of Microbiology, Department of Biochemistry and Microbiology, Ghent University, Ghent, 24 Belgium 25 9 Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, Canada 26 10 Department of Biological Sciences, University of Alberta, Edmonton, Canada 27 11 National Taiwan University, Dept. -
Towards Managing and Controlling Aflatoxin Producers Within
OPEN ACCESS Freely available online Applied Microbiology Open Access Research Article Profile of Nitrification and Denitrification Bacteria in the Different Layers of Filter Media in a Rhizofiltration System Mmasefako Lettie Mmammule Sikhosana1, Botha A2, Mpenyana-Monyatsi L1, Coetzee MAA1 1Department of Environmental, Water & Earth Sciences, Tshwane University of Technology, Pretoria, South Africa, 2Department of Microbiology, Stellenbosch University, Private Bag X1, Matieland, South Africa ABSTRACT The presence of nitrifying and denitrifying bacteria demonstrated the ability to remove nitrogen from the simulated urban runoff. The bacteria were isolated from the filter layers of the planted and unplanted sides of a constructed wetland. The system was operated with simulated urban runoff twice a week and was fed manually with a mixture of settled municipal wastewater. Culture-based methods and molecular techniques were applied to determine and identify the bacterial isolates sampled once in autumn from the different types of filter media used (three-layered filter). The 16S rDNA sequence analysis of the isolates recovered from the media revealed that the isolates were similar to the genus Pseudomonas, such as Pseudomonas yamanorum, Pseudomonas rhodesiae, and Pseudomonas extremaustralis. Isolates similar to Pseudomonas yamanorum were observed to be present in most filter layers of the planted side of the system and were also recovered in the second (middle) layer of the unplanted side of the system. Phylogenetic analysis confirmed the evolutionary relationship of isolates recovered in the layers of both the planted and unplanted sides of the systems to share similarities ranging between 95.6% and 100% with reference strains. The isolates were noted to possibly have nitrification abilities. -
Corynebacterium Sp.|NML98-0116
1 Limnochorda_pilosa~GCF_001544015.1@NZ_AP014924=Bacteria-Firmicutes-Limnochordia-Limnochordales-Limnochordaceae-Limnochorda-Limnochorda_pilosa 0,9635 Ammonifex_degensii|KC4~GCF_000024605.1@NC_013385=Bacteria-Firmicutes-Clostridia-Thermoanaerobacterales-Thermoanaerobacteraceae-Ammonifex-Ammonifex_degensii 0,985 Symbiobacterium_thermophilum|IAM14863~GCF_000009905.1@NC_006177=Bacteria-Firmicutes-Clostridia-Clostridiales-Symbiobacteriaceae-Symbiobacterium-Symbiobacterium_thermophilum Varibaculum_timonense~GCF_900169515.1@NZ_LT827020=Bacteria-Actinobacteria-Actinobacteria-Actinomycetales-Actinomycetaceae-Varibaculum-Varibaculum_timonense 1 Rubrobacter_aplysinae~GCF_001029505.1@NZ_LEKH01000003=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_aplysinae 0,975 Rubrobacter_xylanophilus|DSM9941~GCF_000014185.1@NC_008148=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_xylanophilus 1 Rubrobacter_radiotolerans~GCF_000661895.1@NZ_CP007514=Bacteria-Actinobacteria-Rubrobacteria-Rubrobacterales-Rubrobacteraceae-Rubrobacter-Rubrobacter_radiotolerans Actinobacteria_bacterium_rbg_16_64_13~GCA_001768675.1@MELN01000053=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_rbg_16_64_13 1 Actinobacteria_bacterium_13_2_20cm_68_14~GCA_001914705.1@MNDB01000040=Bacteria-Actinobacteria-unknown_class-unknown_order-unknown_family-unknown_genus-Actinobacteria_bacterium_13_2_20cm_68_14 1 0,9803 Thermoleophilum_album~GCF_900108055.1@NZ_FNWJ01000001=Bacteria-Actinobacteria-Thermoleophilia-Thermoleophilales-Thermoleophilaceae-Thermoleophilum-Thermoleophilum_album -
Complete Genomic Sequences of Propionibacterium Freudenreichii
UCLA UCLA Previously Published Works Title Complete genomic sequences of Propionibacterium freudenreichii phages from Swiss cheese reveal greater diversity than Cutibacterium (formerly Propionibacterium) acnes phages. Permalink https://escholarship.org/uc/item/7bf0f2q3 Journal BMC microbiology, 18(1) ISSN 1471-2180 Authors Cheng, Lucy Marinelli, Laura J Grosset, Noël et al. Publication Date 2018-03-01 DOI 10.1186/s12866-018-1159-y Peer reviewed eScholarship.org Powered by the California Digital Library University of California Cheng et al. BMC Microbiology (2018) 18:19 https://doi.org/10.1186/s12866-018-1159-y RESEARCH ARTICLE Open Access Complete genomic sequences of Propionibacterium freudenreichii phages from Swiss cheese reveal greater diversity than Cutibacterium (formerly Propionibacterium) acnes phages Lucy Cheng1,2†, Laura J. Marinelli1,2*†, Noël Grosset3, Sorel T. Fitz-Gibbon4, Charles A. Bowman5, Brian Q. Dang5, Daniel A. Russell5, Deborah Jacobs-Sera5, Baochen Shi6, Matteo Pellegrini4, Jeff F. Miller7,2, Michel Gautier3, Graham F. Hatfull5 and Robert L. Modlin1,2 Abstract Background: A remarkable exception to the large genetic diversity often observed for bacteriophages infecting a specific bacterial host was found for the Cutibacterium acnes (formerly Propionibacterium acnes) phages, which are highly homogeneous. Phages infecting the related species, which is also a member of the Propionibacteriaceae family, Propionibacterium freudenreichii, a bacterium used in production of Swiss-type cheeses, have also been described and are common contaminants of the cheese manufacturing process. However, little is known about their genetic composition and diversity. Results: We obtained seven independently isolated bacteriophages that infect P. freudenreichii from Swiss-type cheese samples, and determined their complete genome sequences. -
The Human Milk Microbiome and Factors Influencing Its
1 THE HUMAN MILK MICROBIOME AND FACTORS INFLUENCING ITS 2 COMPOSITION AND ACTIVITY 3 4 5 Carlos Gomez-Gallego, Ph. D. ([email protected])1; Izaskun Garcia-Mantrana, Ph. D. 6 ([email protected])2, Seppo Salminen, Prof. Ph. D. ([email protected])1, María Carmen 7 Collado, Ph. D. ([email protected])1,2,* 8 9 1. Functional Foods Forum, Faculty of Medicine, University of Turku, Itäinen Pitkäkatu 4 A, 10 20014, Turku, Finland. Phone: +358 2 333 6821. 11 2. Institute of Agrochemistry and Food Technology, National Research Council (IATA- 12 CSIC), Department of Biotechnology. Valencia, Spain. Phone: +34 96 390 00 22 13 14 15 *To whom correspondence should be addressed. 16 -IATA-CSIC, Av. Agustin Escardino 7, 49860, Paterna, Valencia, Spain. Tel. +34 963900022; 17 E-mail: [email protected] 18 19 20 21 22 23 24 25 26 27 1 1 SUMMARY 2 Beyond its nutritional aspects, human milk contains several bioactive compounds, such as 3 microbes, oligosaccharides, and other substances, which are involved in host-microbe 4 interactions and have a key role in infant health. New techniques have increased our 5 understanding of milk microbiota composition, but little data on the activity of bioactive 6 compounds and their biological role in infants is available. While the human milk microbiome 7 may be influenced by specific factors, including genetics, maternal health and nutrition, mode of 8 delivery, breastfeeding, lactation stage, and geographic location, the impact of these factors on 9 the infant microbiome is not yet known. This article gives an overview of milk microbiota 10 composition and activity, including factors influencing microbial composition and their 11 potential biological relevance on infants' future health. -
Extensive Microbial Diversity Within the Chicken Gut Microbiome Revealed by Metagenomics and Culture
Extensive microbial diversity within the chicken gut microbiome revealed by metagenomics and culture Rachel Gilroy1, Anuradha Ravi1, Maria Getino2, Isabella Pursley2, Daniel L. Horton2, Nabil-Fareed Alikhan1, Dave Baker1, Karim Gharbi3, Neil Hall3,4, Mick Watson5, Evelien M. Adriaenssens1, Ebenezer Foster-Nyarko1, Sheikh Jarju6, Arss Secka7, Martin Antonio6, Aharon Oren8, Roy R. Chaudhuri9, Roberto La Ragione2, Falk Hildebrand1,3 and Mark J. Pallen1,2,4 1 Quadram Institute Bioscience, Norwich, UK 2 School of Veterinary Medicine, University of Surrey, Guildford, UK 3 Earlham Institute, Norwich Research Park, Norwich, UK 4 University of East Anglia, Norwich, UK 5 Roslin Institute, University of Edinburgh, Edinburgh, UK 6 Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Banjul, The Gambia 7 West Africa Livestock Innovation Centre, Banjul, The Gambia 8 Department of Plant and Environmental Sciences, The Alexander Silberman Institute of Life Sciences, Edmond J. Safra Campus, Hebrew University of Jerusalem, Jerusalem, Israel 9 Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, UK ABSTRACT Background: The chicken is the most abundant food animal in the world. However, despite its importance, the chicken gut microbiome remains largely undefined. Here, we exploit culture-independent and culture-dependent approaches to reveal extensive taxonomic diversity within this complex microbial community. Results: We performed metagenomic sequencing of fifty chicken faecal samples from Submitted 4 December 2020 two breeds and analysed these, alongside all (n = 582) relevant publicly available Accepted 22 January 2021 chicken metagenomes, to cluster over 20 million non-redundant genes and to Published 6 April 2021 construct over 5,500 metagenome-assembled bacterial genomes. -
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. -
Breast Milk Microbiota: a Review of the Factors That Influence Composition
Published in "Journal of Infection 81(1): 17–47, 2020" which should be cited to refer to this work. ✩ Breast milk microbiota: A review of the factors that influence composition ∗ Petra Zimmermann a,b,c,d, , Nigel Curtis b,c,d a Department of Paediatrics, Fribourg Hospital HFR and Faculty of Science and Medicine, University of Fribourg, Switzerland b Department of Paediatrics, The University of Melbourne, Parkville, Australia c Infectious Diseases Research Group, Murdoch Children’s Research Institute, Parkville, Australia d Infectious Diseases Unit, The Royal Children’s Hospital Melbourne, Parkville, Australia s u m m a r y Breastfeeding is associated with considerable health benefits for infants. Aside from essential nutrients, immune cells and bioactive components, breast milk also contains a diverse range of microbes, which are important for maintaining mammary and infant health. In this review, we summarise studies that have Keywords: investigated the composition of the breast milk microbiota and factors that might influence it. Microbiome We identified 44 studies investigating 3105 breast milk samples from 2655 women. Several studies Diversity reported that the bacterial diversity is higher in breast milk than infant or maternal faeces. The maxi- Delivery mum number of each bacterial taxonomic level detected per study was 58 phyla, 133 classes, 263 orders, Caesarean 596 families, 590 genera, 1300 species and 3563 operational taxonomic units. Furthermore, fungal, ar- GBS chaeal, eukaryotic and viral DNA was also detected. The most frequently found genera were Staphylococ- Antibiotics cus, Streptococcus Lactobacillus, Pseudomonas, Bifidobacterium, Corynebacterium, Enterococcus, Acinetobacter, BMI Rothia, Cutibacterium, Veillonella and Bacteroides. There was some evidence that gestational age, delivery Probiotics mode, biological sex, parity, intrapartum antibiotics, lactation stage, diet, BMI, composition of breast milk, Smoking Diet HIV infection, geographic location and collection/feeding method influence the composition of the breast milk microbiota. -
Comparative Genomic Analysis of Carnobacterium Maltaromaticum: Study of Diversity and Adaptation to Different Environments Christelle Iskandar
Comparative genomic analysis of Carnobacterium maltaromaticum: Study of diversity and adaptation to different environments Christelle Iskandar To cite this version: Christelle Iskandar. Comparative genomic analysis of Carnobacterium maltaromaticum: Study of diversity and adaptation to different environments. Food and Nutrition. Université de Lorraine, 2015. English. NNT : 2015LORR0245. tel-01754646 HAL Id: tel-01754646 https://hal.univ-lorraine.fr/tel-01754646 Submitted on 30 Mar 2018 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. AVERTISSEMENT Ce document est le fruit d'un long travail approuvé par le jury de soutenance et mis à disposition de l'ensemble de la communauté universitaire élargie. Il est soumis à la propriété intellectuelle de l'auteur. Ceci implique une obligation de citation et de référencement lors de l’utilisation de ce document. D'autre part, toute contrefaçon, plagiat, reproduction illicite encourt une poursuite pénale. Contact : [email protected] LIENS Code de la Propriété Intellectuelle. articles L 122. 4