Literature DB >> 22461678

Ion torrent personal genome machine sequencing for genomic typing of Neisseria meningitidis for rapid determination of multiple layers of typing information.

Ulrich Vogel1, Rafael Szczepanowski, Heike Claus, Sebastian Jünemann, Karola Prior, Dag Harmsen.   

Abstract

Neisseria meningitidis causes invasive meningococcal disease in infants, toddlers, and adolescents worldwide. DNA sequence-based typing, including multilocus sequence typing, analysis of genetic determinants of antibiotic resistance, and sequence typing of vaccine antigens, has become the standard for molecular epidemiology of the organism. However, PCR of multiple targets and consecutive Sanger sequencing provide logistic constraints to reference laboratories. Taking advantage of the recent development of benchtop next-generation sequencers (NGSs) and of BIGSdb, a database accommodating and analyzing genome sequence data, we therefore explored the feasibility and accuracy of Ion Torrent Personal Genome Machine (PGM) sequencing for genomic typing of meningococci. Three strains from a previous meningococcus serogroup B community outbreak were selected to compare conventional typing results with data generated by semiconductor chip-based sequencing. In addition, sequencing of the meningococcal type strain MC58 provided information about the general performance of the technology. The PGM technology generated sequence information for all target genes addressed. The results were 100% concordant with conventional typing results, with no further editing being necessary. In addition, the amount of typing information, i.e., nucleotides and target genes analyzed, could be substantially increased by the combined use of genome sequencing and BIGSdb compared to conventional methods. In the near future, affordable and fast benchtop NGS machines like the PGM might enable reference laboratories to switch to genomic typing on a routine basis. This will reduce workloads and rapidly provide information for laboratory surveillance, outbreak investigation, assessment of vaccine preventability, and antibiotic resistance gene monitoring.

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Year:  2012        PMID: 22461678      PMCID: PMC3372157          DOI: 10.1128/JCM.00038-12

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  49 in total

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2.  Distribution of surface protein variants among hyperinvasive meningococci: implications for vaccine design.

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Journal:  Proc Natl Acad Sci U S A       Date:  1998-03-17       Impact factor: 11.205

4.  A 10-year serogroup B meningococcal disease epidemic in New Zealand: descriptive epidemiology, 1991-2000.

Authors:  M G Baker; D R Martin; C E Kieft; D Lennon
Journal:  J Paediatr Child Health       Date:  2001-10       Impact factor: 1.954

5.  Complete genome sequence of Neisseria meningitidis serogroup B strain MC58.

Authors:  H Tettelin; N J Saunders; J Heidelberg; A C Jeffries; K E Nelson; J A Eisen; K A Ketchum; D W Hood; J F Peden; R J Dodson; W C Nelson; M L Gwinn; R DeBoy; J D Peterson; E K Hickey; D H Haft; S L Salzberg; O White; R D Fleischmann; B A Dougherty; T Mason; A Ciecko; D S Parksey; E Blair; H Cittone; E B Clark; M D Cotton; T R Utterback; H Khouri; H Qin; J Vamathevan; J Gill; V Scarlato; V Masignani; M Pizza; G Grandi; L Sun; H O Smith; C M Fraser; E R Moxon; R Rappuoli; J C Venter
Journal:  Science       Date:  2000-03-10       Impact factor: 47.728

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7.  Experimentally revised repertoire of putative contingency loci in Neisseria meningitidis strain MC58: evidence for a novel mechanism of phase variation.

Authors:  P Martin; T van de Ven; N Mouchel; A C Jeffries; D W Hood; E R Moxon
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8.  Emergence of a virulent clone of Neisseria meningitidis serotype 2a that is associated with meningococcal group C disease in Canada.

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10.  mlstdbNet - distributed multi-locus sequence typing (MLST) databases.

Authors:  Keith A Jolley; Man-Suen Chan; Martin C J Maiden
Journal:  BMC Bioinformatics       Date:  2004-07-01       Impact factor: 3.169

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  27 in total

1.  Resolution of a meningococcal disease outbreak from whole-genome sequence data with rapid Web-based analysis methods.

Authors:  Keith A Jolley; Dorothea M C Hill; Holly B Bratcher; Odile B Harrison; Ian M Feavers; Julian Parkhill; Martin C J Maiden
Journal:  J Clin Microbiol       Date:  2012-07-11       Impact factor: 5.948

2.  It Is Not All about Single Nucleotide Polymorphisms: Comparison of Mobile Genetic Elements and Deletions in Listeria monocytogenes Genomes Links Cases of Hospital-Acquired Listeriosis to the Environmental Source.

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3.  Evolution and single-nucleotide polymorphisms in methicillin-resistant Staphylococcus aureus strains with reduced susceptibility to vancomycin and daptomycin, based on determination of the complete genome.

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4.  Whole-genome-based Mycobacterium tuberculosis surveillance: a standardized, portable, and expandable approach.

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Review 6.  Automated extraction of typing information for bacterial pathogens from whole genome sequence data: Neisseria meningitidis as an exemplar.

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7.  Prediction of treatment efficacy and telaprevir-resistant variants after triple therapy in patients infected with hepatitis C virus genotype 1.

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10.  Semiconductor-based sequencing of genome-wide DNA methylation states.

Authors:  Michael J Corley; Wei Zhang; Xin Zheng; Annette Lum-Jones; Alika K Maunakea
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