Staphylococcus Capitis CR01 (Pulsetype NRCS-A)
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CGM-18-001 Perseus Report Update Bacterial Taxonomy Final Errata
report Update of the bacterial taxonomy in the classification lists of COGEM July 2018 COGEM Report CGM 2018-04 Patrick L.J. RÜDELSHEIM & Pascale VAN ROOIJ PERSEUS BVBA Ordering information COGEM report No CGM 2018-04 E-mail: [email protected] Phone: +31-30-274 2777 Postal address: Netherlands Commission on Genetic Modification (COGEM), P.O. Box 578, 3720 AN Bilthoven, The Netherlands Internet Download as pdf-file: http://www.cogem.net → publications → research reports When ordering this report (free of charge), please mention title and number. Advisory Committee The authors gratefully acknowledge the members of the Advisory Committee for the valuable discussions and patience. Chair: Prof. dr. J.P.M. van Putten (Chair of the Medical Veterinary subcommittee of COGEM, Utrecht University) Members: Prof. dr. J.E. Degener (Member of the Medical Veterinary subcommittee of COGEM, University Medical Centre Groningen) Prof. dr. ir. J.D. van Elsas (Member of the Agriculture subcommittee of COGEM, University of Groningen) Dr. Lisette van der Knaap (COGEM-secretariat) Astrid Schulting (COGEM-secretariat) Disclaimer This report was commissioned by COGEM. The contents of this publication are the sole responsibility of the authors and may in no way be taken to represent the views of COGEM. Dit rapport is samengesteld in opdracht van de COGEM. De meningen die in het rapport worden weergegeven, zijn die van de auteurs en weerspiegelen niet noodzakelijkerwijs de mening van de COGEM. 2 | 24 Foreword COGEM advises the Dutch government on classifications of bacteria, and publishes listings of pathogenic and non-pathogenic bacteria that are updated regularly. These lists of bacteria originate from 2011, when COGEM petitioned a research project to evaluate the classifications of bacteria in the former GMO regulation and to supplement this list with bacteria that have been classified by other governmental organizations. -
Microbial Life Cycles Link Global Modularity in Regulation to Mosaic Evolution
ARTICLES https://doi.org/10.1038/s41559-019-0939-6 Microbial life cycles link global modularity in regulation to mosaic evolution Jordi van Gestel 1,2,3,4*, Martin Ackermann3,4 and Andreas Wagner 1,2,5* Microbes are exposed to changing environments, to which they can respond by adopting various lifestyles such as swimming, colony formation or dormancy. These lifestyles are often studied in isolation, thereby giving a fragmented view of the life cycle as a whole. Here, we study lifestyles in the context of this whole. We first use machine learning to reconstruct the expression changes underlying life cycle progression in the bacterium Bacillus subtilis, based on hundreds of previously acquired expres- sion profiles. This yields a timeline that reveals the modular organization of the life cycle. By analysing over 380 Bacillales genomes, we then show that life cycle modularity gives rise to mosaic evolution in which life stages such as motility and sporu- lation are conserved and lost as discrete units. We postulate that this mosaic conservation pattern results from habitat changes that make these life stages obsolete or detrimental. Indeed, when evolving eight distinct Bacillales strains and species under laboratory conditions that favour colony growth, we observe rapid and parallel losses of the sporulation life stage across spe- cies, induced by mutations that affect the same global regulator. We conclude that a life cycle perspective is pivotal to under- standing the causes and consequences of modularity in both regulation and evolution. icrobes express an incredible range of lifestyles, from the We start our analysis by synthesizing data from previous stud- myriad of planktonic life forms floating in the oceans ies on the global transcription network of B. -
Evolutionary Route of Resistant Genes in Staphylococcus Aureus
bioRxiv preprint doi: https://doi.org/10.1101/762054; this version posted September 9, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Evolutionary route of resistant genes in Staphylococcus aureus Jiffy John1, 2, Sinumol George1, Sai Ravi Chandra Nori1, and Shijulal Nelson-Sathi1, * 1Computational Biology Laboratory, Inter Disciplinary Biology, Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram, India 2Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India *Author for Correspondence: Shijulal Nelson-Sathi, Computational Biology Laboratory, Inter Disciplinary Biology, Rajiv Gandhi Centre for Biotechnology (RGCB), Trivandrum, India, Phone: +91-471-2781-236, e-mails: [email protected] Abstract Multi-drug resistant S. aureus is a leading concern worldwide. Coagulase-Negative Staphylococci (CoNS) are claimed to be the reservoir and source of important resistant elements in S. aureus. However, the origin and evolutionary route of resistant genes in S. aureus are still remaining unknown. Here, we performed a detailed phylogenomic analysis of 152 completely sequenced S. aureus strains in comparison with 7,529 non-S. aureus reference bacterial genomes. Our results reveals that S. aureus has a large open pan-genome where 97 (55%) of its known resistant related genes belonging to its accessory genome. Among these genes, 47 (27%) were located within the Staphylococcal Cassette Chromosome (SCCmec), a transposable element responsible for resistance against major classes of antibiotics including beta- lactams, macrolides and aminoglycosides. However, the physically linked mec-box genes (MecA-MecR-MecI) that are responsible for the maintenance of SCCmec elements is not unique to S. -
Proteomic Characterization of Bacteriophage Peptides from the Mastitis Producer Staphylococcus Aureus by LC-ESI-MS/MS and the Bacteriophage Phylogenomic Analysis
foods Article Proteomic Characterization of Bacteriophage Peptides from the Mastitis Producer Staphylococcus aureus by LC-ESI-MS/MS and the Bacteriophage Phylogenomic Analysis Ana G. Abril 1 ,Mónica Carrera 2,* , Karola Böhme 3, Jorge Barros-Velázquez 4 , Benito Cañas 5, José-Luis R. Rama 1, Tomás G. Villa 1 and Pilar Calo-Mata 4,* 1 Department of Microbiology and Parasitology, Faculty of Pharmacy, University of Santiago de Compostela, 15898 Santiago de Compostela, Spain; [email protected] (A.G.A.); [email protected] (J.-L.R.R.); [email protected] (T.G.V.) 2 Department of Food Technology, Spanish National Research Council, Marine Research Institute, 36208 Vigo, Spain 3 Agroalimentary Technological Center of Lugo, 27002 Lugo, Spain; [email protected] 4 Department of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, 27002 Lugo, Spain; [email protected] 5 Department of Analytical Chemistry, Complutense University of Madrid, 28040 Madrid, Spain; [email protected] * Correspondence: [email protected] (M.C.); [email protected] (P.C.-M.) Abstract: The present work describes LC-ESI-MS/MS MS (liquid chromatography-electrospray ionization-tandem mass spectrometry) analyses of tryptic digestion peptides from phages that infect mastitis-causing Staphylococcus aureus isolated from dairy products. A total of 1933 nonredundant Citation: Abril, A.G.; Carrera, M.; peptides belonging to 1282 proteins were identified and analyzed. Among them, 79 staphylococcal Böhme, K.; Barros-Velázquez, J.; peptides from phages were confirmed. These peptides belong to proteins such as phage repressors, Cañas, B.; Rama, J.-L.R.; Villa, T.G.; structural phage proteins, uncharacterized phage proteins and complement inhibitors. -
Risks and Etiology of Bacterial Vaginosis Revealed by Species Dominance Network Analysis
medRxiv preprint doi: https://doi.org/10.1101/2020.05.23.20104208; this version posted May 26, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. 5 Risks and etiology of bacterial vaginosis revealed by species dominance network analysis Zhanshan (Sam) Ma1,2,* Aaron M. Ellison3 10 1Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences 2CAS Center for Excellence in Animal Evolution and Genetics 15 Chinese Academy of Sciences, Kunming, 650223, China *For all correspondence: [email protected] 3Harvard University, Harvard Forest, 324 North Main Street, Petersham, 20 Massachusetts 01366, USA Running Head: Risks and etiology of BV 25 Keywords: BV (Bacterial vaginosis); Community dominance; Species dominance; Species dominance networks (SDN); Diversity-stability relationship (DSR); Core/periphery network (CPN); High-salience skeleton networks (HSN); BV-associated anaerobic bacteria (BVAB) 30 Single sentence summary: 15 trio motifs unique to the BV (bacterial vaginosis) may act as indicators for personalized BV diagnosis, risk prediction and etiological study. 1 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.05.23.20104208; this version posted May 26, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. -
Virulence Factors in Coagulase-Negative Staphylococci
pathogens Review Virulence Factors in Coagulase-Negative Staphylococci Angela França *, Vânia Gaio, Nathalie Lopes and Luís D. R. Melo * Laboratory of Research in Biofilms Rosário Oliveira, Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal; [email protected] (V.G.); [email protected] (N.L.) * Correspondence: [email protected] (A.F.); [email protected] (L.D.R.M.); Tel.: +351-253-601-968 (A.F.); +351-253-601-989 (L.D.R.M.) Abstract: Coagulase-negative staphylococci (CoNS) have emerged as major pathogens in healthcare- associated facilities, being S. epidermidis, S. haemolyticus and, more recently, S. lugdunensis, the most clinically relevant species. Despite being less virulent than the well-studied pathogen S. aureus, the number of CoNS strains sequenced is constantly increasing and, with that, the number of virulence factors identified in those strains. In this regard, biofilm formation is considered the most important. Besides virulence factors, the presence of several antibiotic-resistance genes identified in CoNS is worrisome and makes treatment very challenging. In this review, we analyzed the different aspects involved in CoNS virulence and their impact on health and food. Keywords: coagulase-negative staphylococci; biofilms; virulence factors 1. Introduction Staphylococci are a widespread group of bacteria that belong to human and animals Citation: França, A.; Gaio, V.; Lopes, normal microflora [1]. Staphylococcus genus comprises two main groups, the coagulase- N.; Melo, L.D.R. Virulence Factors in negative staphylococci (CoNS) and coagulase-positive staphylococci (CoPS), which were de- Coagulase-Negative Staphylococci. fined according to their ability to produce the enzyme coagulase [2]. -
Présentation Powerpoint
ID of Environmentally Relevant Bacteria From Pharmaceutical Industries Arnaud CARLOTTI, PhD, HDR IDmyk Bât. 4B IDmyk 1, rue des vergers 69760 Limonest France Agenda • Environmentally relevant bacteria in Pharmaceutical Industries and ID • Evaluation of the VITEK ® 2 and the new cards for Gram-positive (GP), Gram-negative (GN) and Bacillus (BCL) identification, by using environmental isolates first identified by molecular method • Conclusion Introduction • Identification (ID) of bacteria recovered from the environment of pharmaceutical industries (PI) is of concern. – It is a regulatory requirement. – It is part of process requirement. – It is standard practice in pharma. industries. • Since isolates in these environments may be stressed, they are known to be sometimes difficult to identify using commercial kit databases (PDA TR #13). Introduction • The new VITEK 2 system and related identification cards (GP, GN and BCL) have been designed and released for improved automated identification of bacteria from the environment in the pharmaceutical industries (PI). • We present an evaluation of this new system when using environmental isolates from PI, previously identified by molecular method (16S rRNA sequencing) Introduction • First, we will consider the « Bacterial Domain » to point out the actual diversity of the species we may theoretically face • Second, we will present an overview of the main genera and species we did identify in 5 years, by using molecular method, as an expertise lab. • Third, we will look at the performances of the VITEK 2 system with relevant environmental isolates from PI, previously identified by using nucleic acid based method of comparative sequencing (16S rRNA genes) • Finally, the results will be discussed regarding the relevance of the species tested, and some comments will be done. -
Understanding Horizontal Gene Transfer Network in Human Gut Microbiota Chen Li†, Jiaxing Chen† and Shuai Cheng Li*
Li et al. Gut Pathog (2020) 12:33 https://doi.org/10.1186/s13099-020-00370-9 Gut Pathogens RESEARCH Open Access Understanding Horizontal Gene Transfer network in human gut microbiota Chen Li†, Jiaxing Chen† and Shuai Cheng Li* Abstract Background: Horizontal Gene Transfer (HGT) is the process of transferring genetic materials between species. Through sharing genetic materials, microorganisms in the human microbiota form a network. The network can provide insights into understanding the microbiota. Here, we constructed the HGT networks from the gut microbiota sequencing data and performed network analysis to characterize the HGT networks of gut microbiota. Results: We constructed the HGT network and perform the network analysis to two typical gut microbiota datasets, a 283-sample dataset of Mother-to-Child and a 148-sample dataset of longitudinal infammatory bowel disease (IBD) metagenome. The results indicated that (1) the HGT networks are scale-free. (2) The networks expand their complexi- ties, sizes, and edge numbers, accompanying the early stage of lives; and microbiota established in children shared high similarity as their mother (p-value 0.0138), supporting the transmission of microbiota from mother to child. (3) Groups harbor group-specifc network= edges, and network communities, which can potentially serve as biomark- ers. For instances, IBD patient group harbors highly abundant communities of Proteobacteria (p-value 0.0194) and Actinobacteria (p-value 0.0316); children host highly abundant communities of Proteobacteria (p-value= 2.8785e−5 ) and Actinobacteria (p-value= 0.0015), and the mothers host highly abundant communities of Firmicutes = (p-value 8.0091e−7 ). IBD patient= networks contain more HGT edges in pathogenic genus, including Mycobacterium, Sutterella=, and Pseudomonas. -
Supplemental Figures and Legends.Pdf
Supplemental Figures and Tables Supplemental Tables Table S1. Per-patient characteristics and summary Table S2. Correlations between relative abundances calculated from 454 vs Sanger amplicon sequencing Table S3. Summary of rarefaction analysis, subsampled Table S4. Summary of patient treatments Table S5. Shannon diversity indices and statistical testing on subsampled (n=100) data, by treatment effect Table S6. Sample sizes for analysis Table S7. Shannon diversity indices and statistical testing on subsampled (n=100) data Table S8. Theta similarity indices and statistical testing for subsampled (n=100) values Table S9. Genera significantly over/underrepresented (adjusted P-value < 0.1) between groups, all sites Table S10. Staphylococcal species significantly over/underrepresented between groups, all sites Table S11. Spearman correlation between taxonomic abundance (Af) and patient clinical metadata Table S12. Fungal-based analysis of select individuals Table S13. Order of subjects in relative abundance plots in Fig. 2, 6, S4, S7 Table S14. Random forests analysis of bacterial taxa. Supplemental Figures Figure S1. Partial Spearman correlation () between samples sequenced by Sanger vs. 454. Colors indicate patient category; plots are separated by taxonomy. Most abundant taxonomies are shown. Table (bottom right) shows the partial correlation for each taxa, adjusting for patient, and associated P-value. Figure S2. Rarefaction analysis for the skin and nares microbiota sampling at each site (antecubital fossa (Af), retroauricular crease (Ra), nares (N), popliteal fossa (Pf), volar forearm (Vf)) calculated as operational taxonomic units (OTUs) at a cutoff of 97% similarity. Sanger samples are shown in (A); 454 samples are shown in (B). Each point represents mean ± SEM of all individuals at specified site and patient category. -
Species Identification by Polymerase Chain Reaction of Staphylococcal
Species Identification by Polymerase Chain Reaction of Staphylococcal Isolates from the Skin and Ears of Dogs and Evaluation of Clinical Laboratory Standards Institute Interpretive Criteria for Canine Methcillin-resistant Staphylococcus pseudintermedius Thesis Presented in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Graduate School of The Ohio State University By Jennifer Ruth Schissler, DVM Graduate Program in Veterinary Clinical Sciences The Ohio State University 2009 Thesis Committee Dr. Andrew Hillier, Advisor Dr. Lynette Cole Dr. Wondwossen Gebreyes Dr. Paivi Rajala-Schultz Dr. Joshua Daniels Copyright by Jennifer Schissler, DVM 2009 [Type a quote from the document or the summary of an interesting point. You can position the text box anywhere in the document. Use the Text Box Tools tab to change the formatting ofii the pull quote text box.] Abstract The Clinical and Laboratory Standards Institute has published (2008) new interpretive criteria for identification of methicillin resistance in veterinary staphylococci. The sensitivity of the 2008 interpretive criteria compared to previous (2004) criteria was established in thirty canine clinical isolates of mecA gene–positive Staphylococcus pseudintermedius. The minimum inhibitory concentration for oxacillin was determined by broth microdilution. The 2008 breakpoint of > 4µg/ml for methicillin resistance resulted in a sensitivity of 73.3% (22/30). The 2004 breakpoint guideline of ≥ 0.5 µg/ml resulted in a sensitivity of 97% (29/30). For oxacillin disk diffusion, the 2008 interpretive criterion of ≤10 mm for methicillin resistance resulted in a sensitivity of 70% (21/30). Application of the 2004 interpretive criterion of ≤ 17mm resulted in a sensitivity of 100% (30/30). -
Draft Genome Sequences of Eight Bacteria Isolated from the Indoor Environment: Staphylococcus Capitis Strain H36, S
Lymperopoulou et al. Standards in Genomic Sciences (2017) 12:17 DOI 10.1186/s40793-017-0223-9 EXTENDED GENOME REPORT Open Access Draft genome sequences of eight bacteria isolated from the indoor environment: Staphylococcus capitis strain H36, S. capitis strain H65, S. cohnii strain H62, S. hominis strain H69, Microbacterium sp. strain H83, Mycobacterium iranicum strain H39, Plantibacter sp. strain H53, and Pseudomonas oryzihabitans strain H72 Despoina S. Lymperopoulou1* , David A. Coil2, Denise Schichnes3, Steven E. Lindow1, Guillaume Jospin2, Jonathan A. Eisen2,4,5 and Rachel I. Adams1 Abstract We report here the draft genome sequences of eight bacterial strains of the genera Staphylococcus, Microbacterium, Mycobacterium, Plantibacter, and Pseudomonas. These isolates were obtained from aerosol sampling of bathrooms of five residences in the San Francisco Bay area. Taxonomic classifications as well as the genome sequence and gene annotation of the isolates are described. As part of the “Built Environment Reference Genome” project, these isolates and associated genome data provide valuable resources for studying the microbiology of the built environment. Keywords: Built environment, Shower water, Airborne bacteria, Bacterial genomes Introduction on these wet surfaces by direct contact or by inhalation Given that humans spend most of their lives in indoor from aerosolized particles. Focusing on these airborne environments [1], it is important to understand the microorganisms, Miletto & Lindow [7] collected aerosol microorganisms that can be found in these human- particles from residences for genetic analysis and identi- created structures. Previous work based on 16S rRNA fied over 300 genera which they attributed to various gene surveys has described thousands of bacterial taxa sources including tap water, human occupants, indoor from residences (e.g., [2]).