142 research outputs found

    Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance

    Get PDF
    AbstractMany different definitions for multidrug-resistant (MDR), extensively drug-resistant (XDR) and pandrug-resistant (PDR) bacteria are being used in the medical literature to characterize the different patterns of resistance found in healthcare-associated, antimicrobial-resistant bacteria. A group of international experts came together through a joint initiative by the European Centre for Disease Prevention and Control (ECDC) and the Centers for Disease Control and Prevention (CDC), to create a standardized international terminology with which to describe acquired resistance profiles in Staphylococcus aureus, Enterococcus spp., Enterobacteriaceae (other than Salmonella and Shigella), Pseudomonas aeruginosa and Acinetobacter spp., all bacteria often responsible for healthcare-associated infections and prone to multidrug resistance. Epidemiologically significant antimicrobial categories were constructed for each bacterium. Lists of antimicrobial categories proposed for antimicrobial susceptibility testing were created using documents and breakpoints from the Clinical Laboratory Standards Institute (CLSI), the European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the United States Food and Drug Administration (FDA). MDR was defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories, XDR was defined as non-susceptibility to at least one agent in all but two or fewer antimicrobial categories (i.e. bacterial isolates remain susceptible to only one or two categories) and PDR was defined as non-susceptibility to all agents in all antimicrobial categories. To ensure correct application of these definitions, bacterial isolates should be tested against all or nearly all of the antimicrobial agents within the antimicrobial categories and selective reporting and suppression of results should be avoided

    AltitudeOmics: The Integrative Physiology of Human Acclimatization to Hypobaric Hypoxia and Its Retention upon Reascent.

    Get PDF
    An understanding of human responses to hypoxia is important for the health of millions of people worldwide who visit, live, or work in the hypoxic environment encountered at high altitudes. In spite of dozens of studies over the last 100 years, the basic mechanisms controlling acclimatization to hypoxia remain largely unknown. The AltitudeOmics project aimed to bridge this gap. Our goals were 1) to describe a phenotype for successful acclimatization and assess its retention and 2) use these findings as a foundation for companion mechanistic studies. Our approach was to characterize acclimatization by measuring changes in arterial oxygenation and hemoglobin concentration [Hb], acute mountain sickness (AMS), cognitive function, and exercise performance in 21 subjects as they acclimatized to 5260 m over 16 days. We then focused on the retention of acclimatization by having subjects reascend to 5260 m after either 7 (n = 14) or 21 (n = 7) days at 1525 m. At 16 days at 5260 m we observed: 1) increases in arterial oxygenation and [Hb] (compared to acute hypoxia: PaO2 rose 9±4 mmHg to 45±4 while PaCO2 dropped a further 6±3 mmHg to 21±3, and [Hb] rose 1.8±0.7 g/dL to 16±2 g/dL; 2) no AMS; 3) improved cognitive function; and 4) improved exercise performance by 8±8% (all changes p<0.01). Upon reascent, we observed retention of arterial oxygenation but not [Hb], protection from AMS, retention of exercise performance, less retention of cognitive function; and noted that some of these effects lasted for 21 days. Taken together, these findings reveal new information about retention of acclimatization, and can be used as a physiological foundation to explore the molecular mechanisms of acclimatization and its retention

    Building The Sugarcane Genome For Biotechnology And Identifying Evolutionary Trends

    Get PDF
    Background: Sugarcane is the source of sugar in all tropical and subtropical countries and is becoming increasingly important for bio-based fuels. However, its large (10 Gb), polyploid, complex genome has hindered genome based breeding efforts. Here we release the largest and most diverse set of sugarcane genome sequences to date, as part of an on-going initiative to provide a sugarcane genomic information resource, with the ultimate goal of producing a gold standard genome.Results: Three hundred and seventeen chiefly euchromatic BACs were sequenced. A reference set of one thousand four hundred manually-annotated protein-coding genes was generated. A small RNA collection and a RNA-seq library were used to explore expression patterns and the sRNA landscape. In the sucrose and starch metabolism pathway, 16 non-redundant enzyme-encoding genes were identified. One of the sucrose pathway genes, sucrose-6-phosphate phosphohydrolase, is duplicated in sugarcane and sorghum, but not in rice and maize. A diversity analysis of the s6pp duplication region revealed haplotype-structured sequence composition. Examination of hom(e)ologous loci indicate both sequence structural and sRNA landscape variation. A synteny analysis shows that the sugarcane genome has expanded relative to the sorghum genome, largely due to the presence of transposable elements and uncharacterized intergenic and intronic sequences.Conclusion: This release of sugarcane genomic sequences will advance our understanding of sugarcane genetics and contribute to the development of molecular tools for breeding purposes and gene discovery. © 2014 de Setta et al.; licensee BioMed Central Ltd.151European Commission: Agriculture and Rural Development: Sugar http://ec.europa.eu/agriculture/sugar/index_en.htmKellogg, E.A., Evolutionary history of the grasses (2001) Plant Physiol, 125, pp. 1198-1205Grivet, L., Arruda, P., Sugarcane genomics: depicting the complex genome of an important tropical crop (2001) Curr Opin Plant Biol, 5, pp. 122-127Piperidis, G., Piperidis, N., D'Hont, A., Molecular cytogenetic investigation of chromosome composition and transmission in sugarcane (2010) Mol Genet Genomics, 284, pp. 65-73D'Hont, A., Unraveling the genome structure of polyploids using FISH and GISHexamples of sugarcane and banana (2005) Cytogenet Genome Res, 109, pp. 27-33D'Hont, A., Glaszmann, J.C., Sugarcane genome analysis with molecular markers: a first decade of research (2001) Int Soc Sugar Cane Technol Proc XXIV Congr, pp. 556-559Tomkins, J., Yu, Y., Miller-Smith, H., Frisch, D., Woo, S., Wing, R., A bacterial artificial chromosome library for sugarcane (1999) Theor Appl Genet, 99, pp. 419-424Vettore, L., Silva, F.R., Kemper, E.L., Souza, G.M., Silva, A.M., Ferro, M., Henrique-Silva, F., Monteiro-Vitorello, C.B., Analysis and functional annotation of an expressed sequence tag collection for tropical crop sugarcane (2003) Genome Res, 13, pp. 2725-2735Repbase http://www.girinst.org/repbase/Domingues, D.S., Cruz, G.M.Q., Metcalfe, C.J., Nogueira, F.T.S., Vicentini, R., Alves, C.S., Van Sluys, M.-A., Analysis of plant LTR-retrotransposons at the fine-scale family level reveals individual molecular patterns (2012) BMC Genomics, 13, p. 137National Center for Biotechnology Information (NCBI) http://www.ncbi.nlm.nih.gov/Meyer, F., Paarmann, D., D'Souza, M., Olson, R., Glass, E.M., Kubal, M., Paczian, T., Edwards, R.A., The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes (2008) BMC Bioinformatics, 9, p. 386Keeling, P.L., Myers, A.M., Biochemistry and genetics of starch synthesis (2010) Annu Rev Food Sci Technol, 1, pp. 271-303Phytozome v9.1: Home http://www.phytozome.net/Dias, E.S., Carareto, C.M.A., Ancestral polymorphism and recent invasion of transposable elements in Drosophila species (2012) BMC Evol Biol, 12, p. 119Posada, D., Crandall, K., Intraspecific gene genealogies: trees grafting into networks (2001) Trends Ecol Evol, 16, pp. 37-45Swaminathan, K., Alabady, M.S., Varala, K., De Paoli, E., Ho, I., Rokhsar, D.S., Arumuganathan, A.K., Hudson, M.E., Genomic and small RNA sequencing of Miscanthus x giganteus shows the utility of sorghum as a reference genome sequence for Andropogoneae grasses (2010) Genome Biol, 11, pp. R12Zanca, A.S., Vicentini, R., Ortiz-Morea, F.A., Del Bem, L.E., da Silva, M.J., Vincentz, M., Nogueira, F.T., Identification and expression analysis of microRNAs and targets in the biofuel crop sugarcane (2010) BMC Plant Biol, 10, p. 260Piriyapongsa, J., Jordan, I.K., A family of human microRNA genes from miniature inverted-repeat transposable elements (2007) PLoS ONE, 2, pp. e203Barrera-Figueroa, B.E., Gao, L., Wu, Z., Zhou, X., Zhu, J., Jin, H., Liu, R., Zhu, J.-K., High throughput sequencing reveals novel and abiotic stress-regulated microRNAs in the inflorescences of rice (2012) BMC Plant Biol, 12, p. 132Nagaki, K., Tsujimoto, H., Sasakuma, T., A novel repetitive sequence of sugar cane, SCEN family, locating on centromeric regions (1998) Chromosom Res, 6, pp. 295-302Nagaki, K., Neumann, P., Zhang, D., Ouyang, S., Buell, C.R., Cheng, Z., Jiang, J., Structure, divergence, and distribution of the CRR centromeric retrotransposon family in rice (2005) Mol Biol Evol, 22, pp. 845-855Vicentini, R., Del Bem, L.E., Van Sluys, M.-A., Nogueira, F., Vincentz, M., Gene content analysis of sugarcane public ESTs reveals thousands of missing coding-genes and an unexpected pool of grasses conserved ncRNAs (2012) Trop Plant Biol, 5, pp. 199-205Kim, C., Lee, T.-H., Compton, R.O., Robertson, J.S., Pierce, G.J., Paterson, A.H., A genome-wide BAC end-sequence survey of sugarcane elucidates genome composition, and identifies BACs covering much of the euchromatin (2013) Plant Mol Biol, 81, pp. 139-147Paterson, A.H., Bowers, J.E., Bruggmann, R., Dubchak, I., Grimwood, J., Gundlach, H., Haberer, G., Carpita, N.C., The Sorghum bicolor genome and the diversification of grasses (2009) Nature, 457, pp. 551-556Chang, Y., Gong, L., Yuan, W., Li, X., Chen, G., Li, X., Zhang, Q., Wu, C., Replication protein A (RPA1a) is required for meiotic and somatic DNA repair but is dispensable for DNA replication and homologous recombination in rice (2009) Plant Physiol, 151, pp. 2162-2173Feschotte, C., Transposable elements and the evolution of regulatory networks (2008) Nat Rev Genet, 9, pp. 397-405Wang, J., Roe, B., Macmil, S., Yu, Q., Murray, J.E., Tang, H., Chen, C., Ming, R., Microcollinearity between autopolyploid sugarcane and diploid sorghum genomes (2010) BMC Genomics, 11, p. 261Garsmeur, O., Charron, C., Bocs, S., Jouffe, V., Samain, S., Couloux, A., Droc, G., D'Hont, A., High homologous gene conservation despite extreme autopolyploid redundancy in sugarcane (2011) New Phytol, 189, pp. 629-642Jannoo, N., Grivet, L., Chantret, N., Garsmeur, O., Glaszmann, J.C., Arruda, P., D'Hont, A., Orthologous comparison in a gene-rich region among grasses reveals stability in the sugarcane polyploid genome (2007) Plant J, 50, pp. 574-585Figueira, T.R.E.S., Okura, V., da Silva, F.R., da Silva, M.J., Kudrna, D., Ammiraju, J.S.S., Talag, J., Arruda, P., A BAC library of the SP80-3280 sugarcane variety (saccharum sp.) and its inferred microsynteny with the sorghum genome (2012) BMC Res Notes, 5, p. 185Schnable, P.S., Ware, D., Fulton, R.S., Stein, J.C., Wei, F., Pasternak, S., Liang, C., Gillam, B., The B73 maize genome: complexity, diversity, and dynamics (2009) Science, 326, pp. 1112-1115Tenaillon, M.I., Hufford, M.B., Gaut, B.S., Ross-Ibarra, J., Genome size and transposable element content as determined by high-throughput sequencing in maize and Zea luxurians (2011) Genome Biol Evol, 3, pp. 219-229Zhang, J., Yu, C., Krishnaswamy, L., Peterson, T., Transposable Elements as Catalysts for Chromosome Rearrangements (2011) Methods Mol Biol, pp. 315-326. , Totowa, NJ: Humana Press, Birchler JAMa, J., Wing, R.A., Bennetzen, J.L., Jackson, S.A., Plant centromere organization: a dynamic structure with conserved functions (2007) Trends Genet, 23, pp. 134-139D'Hont, A., Grivet, L., Feldmann, P., Rao, S., Berding, N., Glaszmann, J.C., Characterisation of the double genome structure of modern sugarcane cultivars (Saccharum spp.) by molecular cytogenetics (1996) Mol Gen Genet, 250, pp. 405-413Bao, Y., Wendel, J.F., Ge, S., Multiple patterns of rDNA evolution following polyploidy in Oryza (2010) Mol Phylogenet Evol, 55, pp. 136-142Lynch, M., (2007) The Origins of Genome Architecture, , Sunderland, Massachussetts, USA: Sinauer Associates IncThe map-based sequence of the rice genome (2005) Nature, 436, pp. 793-800. , International Rice Genome Sequencing ProjectLiu, B., Xu, C., Zhao, N., Qi, B., Kimatu, J.N., Pang, J., Han, F., Rapid genomic changes in polyploid wheat and related species: implications for genome evolution and genetic improvement (2009) J Genet Genomics, 36, pp. 519-528Lisch, D., How important are transposons for plant evolution? (2012) Nat Rev Genet, 14, pp. 49-61Udall, J.A., Wendel, J.F., Polyploidy and crop improvement (2006) Crop Sci, 46, pp. S3-S14Varshney, R.K., Graner, A., Sorrells, M.E., Genomics-assisted breeding for crop improvement (2005) Trends Plant Sci, 10, pp. 621-630Menossi, M., Silva-Filho, M.C., Vincentz, M., Van-Sluys, M.-A., Souza, G.M., Sugarcane functional genomics: gene discovery for agronomic trait development (2008) Int J Plant Genomics, 2008, p. 458732. , doi:10.1155/2008/458732Palhares, A.C., Rodrigues-Morais, T.B., Van Sluys, M.-A., Domingues, D.S., Maccheroni, W., Jordão, H., Souza, A.P., Vieira, M.L.C., A novel linkage map of sugarcane with evidence for clustering of retrotransposon-based markers (2012) BMC Genet, 13, p. 51Andersen, J.R., Lübberstedt, T., Functional markers in plants (2003) Trends Plant Sci, 8, pp. 554-560Kalendar, R., Flavell, A.J., Ellis, T.H.N., Sjakste, T., Moisy, C., Schulman, A., Analysis of plant diversity with retrotransposon-based molecular markers (2011) Heredity (Edinb), 106, pp. 520-530PGML BACMan On The Web: Grasses http://www.plantgenome.uga.edu/bacman/BACManwww.phpRice Genome Annotation Project http://rice.plantbiology.msu.edu/Bowers, J.E., Arias, M.A., Asher, R., Avise, J.A., Ball, R.T., Brewer, G.A., Buss, R.W., Soderlund, C.A., Comparative physical mapping links conservation of microsynteny to chromosome structure and recombination in grasses (2005) Proc Natl Acad Sci U S A, 102, pp. 13206-13211Adam-Blondon, A.-F., Bernole, A., Faes, G., Lamoureux, D., Pateyron, S., Grando, M.S., Caboche, M., Chalhoub, B., Construction and characterization of BAC libraries from major grapevine cultivars (2005) Theor Appl Genet, 110, pp. 1363-1371Manetti, M.E., Rossi, M., Cruz, G.M.Q., Saccaro, N.L., Nakabashi, M., Altebarmakian, V., Rodier-Goud, M., Van Sluys, M.A., Mutator system derivatives isolated from sugarcane genome sequence (2012) Trop Plant Biol, 5, pp. 233-243Phrap http://www.phrap.org/RepeatMasker http://www.repeatmasker.org/Jurka, J., Kapitonov, V.V., Pavlicek, A., Klonowski, P., Kohany, O., Repbase update, a database of eukaryotic repetitive elements (2005) Cytogenet Genome Res, 110, pp. 462-467Han, Y., Wessler, S.R., MITE-Hunter: a program for discovering miniature inverted-repeat transposable elements from genomic sequences (2010) Nucleic Acids Res, 38 (22), pp. e199. , doi: 10.1093/nar/gkq862. Epub 2010 Sep 29Frickey, T., Lupas, A., CLANS: a Java application for visualizing protein families based on pairwise similarity (2004) Bioinformatics, 20, pp. 3702-3704Han, Y., Qin, S., Wessler, S.R., Comparison of class 2 transposable elements at superfamily resolution reveals conserved and distinct features in cereal grass genomes (2013) BMC Genomics, 14, p. 71Keller, O., Kollmar, M., Stanke, M., Waack, S., A novel hybrid gene prediction method employing protein multiple sequence alignments (2011) Bioinformatics, 27, pp. 757-763Majoros, W.H., Pertea, M., Salzberg, S.L., TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders (2004) Bioinformatics, 20, pp. 2878-2879Haas, B.J., Delcher, A.L., Mount, S.M., Wortman, J.R., Smith, R.K., Hannick, L.I., Maiti, R., White, O., Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies (2003) Nucleic Acids Res, 31, pp. 5654-5666Haas, B.J., Salzberg, S.L., Zhu, W., Pertea, M., Allen, J.E., Orvis, J., White, O., Wortman, J.R., Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to assemble spliced alignments (2008) Genome Biol, 9, pp. R7Petersen, T.N., Brunak, S., von Heijne, G., Nielsen, H., SignalP 4.0: discriminating signal peptides from transmembrane regions (2011) Nat Methods, 8, pp. 785-786TMHMM Server v. 2.0 http://www.cbs.dtu.dk/services/TMHMM-2.0/Rutherford, K., Parkhill, J., Crook, J., Horsnell, T., Rice, P., Rajandream, M.A., Barrell, B., Artemis: sequence visualization and annotation (2000) Bioinformatics, 16, pp. 944-945UniProt http://www.uniprot.org/InterPro: Protein sequence analysis and classification http://www.ebi.ac.uk/interpro/Conesa, A., Götz, S., Blast2GO: a comprehensive suite for functional analysis in plant genomics (2008) Int J Plant Genomics, 2008, pp. 1-12SUCEST-FUN Project http://sucest-fun.org/MG-RAST: metagenomics analysis server http://metagenomics.anl.gov/KAAS - KEGG automatic annotation server http://www.genome.jp/kegg/kaas/Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., Kumar, S., MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods (2011) Mol Biol Evol, 28, pp. 2731-2739Lyons, E., Freeling, M., How to usefully compare homologous plant genes and chromosomes as DNA sequences (2008) Plant J, 53, pp. 661-673Hall, T.A., BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT (1999) Nucleic Acids Symp Ser, 41, pp. 95-98Geneious - Homepage http://www.geneious.com/Heslop-Harrison, P., Schwarzacher, T., (2000) Practical In Situ Hybridization, , Oxford, UK: BIOS Scientific Publishers LtdAljanabi, S., Forget, L., Dookun, A., An improved and rapid protocol for the isolation of polysaccharide-and polyphenol-free sugarcane DNA (1999) Plant Mol Biol Report, 17, pp. 1-8Maq: Mapping and assembly with qualities http://maq.sourceforge.net/SeqMonk http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/Gasic, K., Hernandez, A., Korban, S.S., RNA extraction from different apple tissues rich in polyphenols and polysaccharides for cDNA (2004) Plant Mol Biol Report, 22 (DECEMBER), pp. 437a-437gLi, H., Durbin, R., Fast and accurate short read alignment with Burrows-Wheeler transform (2009) Bioinformatics, 25, pp. 1754-1760Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Durbin, R., The sequence Alignment/Map format and SAMtools (2009) Bioinformatics, 25, pp. 2078-2079Thompson, J.D., Higgins, D.G., Gibson, T.J., CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice (1994) Nucleic Acids Res, 22, pp. 4673-4680Bandelt, H.J., Forster, P., Röhl, A., Median-joining networks for inferring intraspecific phylogenies (1999) Mol Biol Evol, 16, pp. 37-48Paterson, A.H., Freeling, M., Tang, H., Wang, X., Insights from the comparison of plant genome sequences (2010) Annu Rev Plant Biol, 61, pp. 349-37

    Duration of Treatment for Pseudomonas aeruginosa Bacteremia : a Retrospective Study

    Get PDF
    Introduction: There is no consensus regarding optimal duration of antibiotic therapy for Pseudomonas aeruginosa bacteremia. We aimed to evaluate the impact of short antibiotic course. Methods: We present a retrospective multicenter study including patients with P. aeruginosa bacteremia during 2009-2015. We evaluated outcomes of patients treated with short (6-10 days) versus long (11-15 days) antibiotic courses. The primary outcome was a composite of 30-day mortality or bacteremia recurrence and/or persistence. Univariate and inverse probability treatment-weighted (IPTW) adjusted multivariate analysis for the primary outcome was performed. To avoid immortal time bias, the landmark method was used. Results: We included 657 patients; 273 received a short antibiotic course and 384 a long course. There was no significant difference in baseline characteristics of patients. The composite primary outcome occurred in 61/384 patients in the long-treatment group (16%) versus 32/273 in the short-treatment group (12%) (p = 0.131). Mortality accounted for 41/384 (11%) versus 25/273 (9%) of cases, respectively. Length of hospital stay was significantly shorter in the short group [median 13 days, interquartile range (IQR) 9-21 days, versus median 15 days, IQR 11-26 days, p = 0.002]. Ten patients in the long group discontinued antibiotic therapy owing to adverse events, compared with none in the short group. On univariate and multivariate analyses, duration of therapy was not associated with the primary outcome. Conclusions: In this retrospective study, 6-10 days of antibiotic course for P. aeruginosa bacteremia were as effective as longer courses in terms of survival and recurrence. Shorter therapy was associated with reduced length of stay and less drug discontinuation

    Velocity-space sensitivity of the time-of-flight neutron spectrometer at JET

    Get PDF
    The velocity-space sensitivities of fast-ion diagnostics are often described by so-called weight functions. Recently, we formulated weight functions showing the velocity-space sensitivity of the often dominant beam-target part of neutron energy spectra. These weight functions for neutron emission spectrometry (NES) are independent of the particular NES diagnostic. Here we apply these NES weight functions to the time-of-flight spectrometer TOFOR at JET. By taking the instrumental response function of TOFOR into account, we calculate time-of-flight NES weight functions that enable us to directly determine the velocity-space sensitivity of a given part of a measured time-of-flight spectrum from TOFOR

    Relationship of edge localized mode burst times with divertor flux loop signal phase in JET

    Get PDF
    A phase relationship is identified between sequential edge localized modes (ELMs) occurrence times in a set of H-mode tokamak plasmas to the voltage measured in full flux azimuthal loops in the divertor region. We focus on plasmas in the Joint European Torus where a steady H-mode is sustained over several seconds, during which ELMs are observed in the Be II emission at the divertor. The ELMs analysed arise from intrinsic ELMing, in that there is no deliberate intent to control the ELMing process by external means. We use ELM timings derived from the Be II signal to perform direct time domain analysis of the full flux loop VLD2 and VLD3 signals, which provide a high cadence global measurement proportional to the voltage induced by changes in poloidal magnetic flux. Specifically, we examine how the time interval between pairs of successive ELMs is linked to the time-evolving phase of the full flux loop signals. Each ELM produces a clear early pulse in the full flux loop signals, whose peak time is used to condition our analysis. The arrival time of the following ELM, relative to this pulse, is found to fall into one of two categories: (i) prompt ELMs, which are directly paced by the initial response seen in the flux loop signals; and (ii) all other ELMs, which occur after the initial response of the full flux loop signals has decayed in amplitude. The times at which ELMs in category (ii) occur, relative to the first ELM of the pair, are clustered at times when the instantaneous phase of the full flux loop signal is close to its value at the time of the first ELM
    corecore