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Poster <strong>Abstracts</strong><br />

comparable to a recent study which reported<br />

mutation rates for different clades of a phylogenetic<br />

tree constructed from 73 enterococci<br />

isolates. The rate was 49 ± 3 SMY for a clade<br />

belonging to clonal complex CC17, and was<br />

3.6 ± 0.6 SMY and 13 ± 2 SMY for two<br />

clades with mixed STs. We have developed<br />

a method for mutation rate inference using<br />

SNPs obtained from NGS data. Standardizing<br />

the filtering process will allow expanding this<br />

approach to other species. With studies reporting<br />

variation in mutation rates within species<br />

such procedural methodology becomes all the<br />

more important. This bioinformatics approach<br />

to identify disease transmission paths can help<br />

recognize, control, and diagnose bacterial<br />

clinical outbreaks.<br />

n 21<br />

COMPARISON OF RNA AND DNA<br />

EXTRACTION KITS FOR VIRUS DETECTION<br />

BY NEXT GENERATION SEQUENCING (NGS)<br />

J. Klenner, C. Kohl, P. Dabrowski, A. Nitsche;<br />

Robert Koch Institute, Berlin, GERMANY.<br />

A crucial step in the molecular detection of<br />

viruses in clinical specimens is the efficient<br />

extraction of viral nucleic acids. The total yield<br />

of viral nucleic acid from a clinical specimen<br />

is dependent on the specimens’ volume, the<br />

initial virus concentration and the effectiveness<br />

provided by the extraction method. Recent<br />

Next Generation Sequencing (NGS)-based<br />

diagnostic approaches provide a molecular<br />

‘open view’ into the sample, as they generate<br />

sequence reads of any nucleic acid present<br />

in a specimen in a statistically representative<br />

manner. However, since a higher virus-related<br />

read output promises better sensitivity in the<br />

subsequent bioinformatic analysis, the extraction<br />

method selected determines the reliability<br />

of diagnostic NGS. In this study four commercially<br />

available nucleic acid extraction<br />

kits (QIAGEN, Hilden, Germany: QIAamp<br />

Viral RNA Mini Kit, QIAamp DNA Blood<br />

Mini Kit, QIAamp cador Pathogen Mini Kit<br />

and QIAamp MinElute Virus Spin Kit) were<br />

evaluated by NGS. The nucleic acid yields<br />

and sequence read output were compared for<br />

four different model viruses comprising Reovirus,<br />

Orthomyxovirus, Orthopoxvirus and<br />

Paramyxovirus, each at defined but varying<br />

concentrations in the same sample. The total<br />

nucleic acid extracted was divided into two<br />

aliquots; one was subjected to RNA and the<br />

other to DNA processing for NGS. The yield<br />

of nucleic acids was determined by Qubit and<br />

virus-specific quantitative real-time PCR. NGS<br />

libraries were prepared for sequencing on<br />

the Illumina HiSeq 1500 system. Finally, the<br />

percentage of reads which could be assigned<br />

to each virus after extraction with the different<br />

kits was determined via mapping. As presented<br />

here, evaluation of the different commercial<br />

nucleic acid extraction kits indicates little<br />

deviation in the numbers for RNA and DNA<br />

reads, depending on the kit used.<br />

n 22<br />

TRANSMISSION OF HIGH RISK K.<br />

PNEUMONIAE CLONES IN HEALTH CARE<br />

NETWORKS LARGELY CHALLENGES THE<br />

CURRENT INFECTION PREVENTION AND<br />

CONTROL SYSTEM<br />

K. Zhou, M. Lokate, R. H. Deurenberg, G. C.<br />

Raangs, H. Grundmann, A. W. Friedrich, J. W.<br />

Rossen;<br />

University of Groningen, University Medical<br />

Center Groningen, Groningen, NETHER-<br />

LANDS.<br />

Controlling dissemination of multidrugresistant<br />

pathogens remains one of the major<br />

challenges in hospitals and public health. Here<br />

we describe an inter-institutional transmission<br />

of an ESBL-producing ST15 Klebsiella pneumoniae<br />

between patients caused by patient<br />

referral. An epidemiological link between<br />

the patient isolates was supported by patient<br />

contact tracing and phylogenetic analysis of<br />

the isolates obtained from May to November<br />

2012 using next generation sequencing (NGS).<br />

By May 2013, a patient treated in two institutions<br />

in two cities was involved in expanding<br />

ASM Conference on Rapid Next-Generation Sequencing and Bioinformatic<br />

Pipelines for Enhanced Molecular Epidemiologic Investigation of Pathogens<br />

53

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