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Supplement bij veertiende jaargang, april 2006 - NVMM

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15.01<br />

Molecular typing of bacterial pathogens reveals a spectrum<br />

from clonal to panmictic population structures<br />

L.M. Schouls<br />

National institute of Public Health, Laboratory for Vaccine-<br />

Preventable Diseases, Bilthoven<br />

Introduction: Strain typing is an integral part of epidemiological<br />

investigations of bacterial infections. However, strain<br />

typing may also serve to study the composition of bacterial<br />

populations and the impact of human interference on these<br />

populations. Methods to distinguish bacterial strains have<br />

improved dramatically over the last decade, mainly due to<br />

the introduction of molecular typing technology.<br />

Methods: Many studies have been performed to assess<br />

source and contacts in outbreaks of community acquired or<br />

nosocomial bacterial infections. Mostly these studies rely<br />

on rapid, easy to perform band based typing methods like<br />

pulsed-field gel electrophoresis and restriction fragment<br />

length polymorphism. However, more recent and reliable<br />

typing technology, such as multi-locus sequence typing<br />

(MLST), relies on DNA sequence information. This<br />

portable technique seems to be better suited to create<br />

(inter)national databases required for population studies.<br />

Furthermore, the availability of whole genome sequences<br />

over a large number of bacterial species has enabled<br />

the development of microarrays to perform comparative<br />

genome hybridizations.<br />

Results: MLST has yielded a number of publicly available<br />

databases with typing results that have been used to<br />

study bacterial populations. Some of the best studied<br />

bacterial species are Neisseria meningitidis and Streptococcus<br />

pneumoniae. Analysis of the MLST databases showed that<br />

species like Helicobacter pylori are extremely diverse due<br />

to constant lateral transfer and genome reshuffeling. In<br />

other species like N. meningitidis where DNA is exchanged<br />

and recombined to a lesser extend MLST has proven to be<br />

extremely useful for population studies. However, some<br />

species like Bordetella pertussis hardly exchange DNA<br />

and have a nearly uniform population often referred to<br />

as clonal. For highly variable and clonal species MLST is<br />

unsuitable and other typing methods are required.<br />

Conclusion: Molecular typing techniques, particularly<br />

MLST, have revealed that bacterial species may have<br />

population structures that vary from panmictic to clonal.<br />

15.02<br />

Phylogenomic Analysis of Enterococcus faecium (efm) Using<br />

Mixed Whole genome Microarray Technology Discerns a<br />

globally Dispersed Hospital Clade<br />

H.L. Leavis1,2 , R.J.L. Willems1 , W.J.B. van Wamel1 , F.H.<br />

Schuren2 , A.C. Fluit1 , M.J.M. Bonten1 1 2 UMC Utrecht, Eijkman-Winkler Institute, Utrecht, TNO,<br />

Quality of Life, Zeist<br />

Ned Tijdschr Med Microbiol <strong>2006</strong>; 4:<strong>Supplement</strong><br />

S49<br />

Introduction: Efm, ubiquous colonizers of humans and<br />

animals, have emerged as nosocomial pathogens in the last<br />

decade. Comparative phylogenomic analysis (CPA) using a<br />

mixed whole genome microarray was used to elucidate the<br />

population structure of Efm, using 97 Efm isolates from<br />

different backgrounds (hospital outbreaks, hospitalized<br />

patients, healthy subjects and animals) typed by multilocus<br />

sequence typing (MLST).<br />

Methods: A shotgun library constructed of DNA from<br />

9 Efm strains and additional PCR products (virulence<br />

genes and resistance markers) were spotted. Mixtures of<br />

Cy5 labeled DNA of the 97 Efm isolates and Cy3 labeled<br />

DNA of the library strains were hybridized. 3474 inserts<br />

met quality criteria and were analyzed. 151 hospital clade<br />

associated inserts were amplified, sequenced and blasted<br />

in GenBank. Genomic mosaicism was visualized using<br />

split decomposition analysis (SDA) and a Bayesian-based<br />

algorithm on binary data was used to study phylogeny.<br />

Character evolution was studied with maximum likelihoodbased<br />

models.<br />

Results: 1183 inserts (34 %) were conserved among all Efm<br />

strains. CPA identified a clade, supported by Bayesian<br />

probabilities (p=1), containing all outbreak-associated<br />

strains and closely resembling the previously described<br />

MLST-based Clonal Complex-17. 447 inserts (13%) were<br />

associated with this clade. The predicted most prominent<br />

inserts of this clade encoded a mutator type transposase<br />

and a predicted metal-dependent hydrolase (98% sensitive,<br />

100% specific). Clade-specific inserts (specificity > 78%,<br />

sensitivity 40-94%) included membrane proteins (n=8),<br />

hypothetical (n=26), resistance and (n=3), regulatory genes<br />

(n=7), mobile elements (n=35), phage (n=6) and plasmid<br />

genes (n=6). The genes were mainly located on 2 contigs<br />

of the unfinished Efm DO genome. In SDA presence<br />

and absence of genes on these contigs was inconsistent<br />

with a branched phylogeny, indicating a highly mosaic<br />

structure.<br />

Conclusion: These findings demonstrate the evolution<br />

of a specific Efm subpopulation, associated with hospital<br />

outbreaks worldwide, and characterized by mobile<br />

elements, regulatory and potential virulence genes and a<br />

highly mosaic structure.<br />

15.03<br />

non-typeable methicillin-resistant Staphylococcus aureus<br />

form a clonal cluster which seems to be related to pig<br />

farmers and pigs<br />

X.W. Huijsdens 1 , E. Spalburg 1 , M.G. van Santen-Verheuvel 1 ,<br />

M.E.O.C. Heck1 , G.N. Pluister1 , B.J. van Dijke2 , A. Voss3 ,<br />

W.J.B. Wannet1 , A.J. de Neeling1 1 2 RIVM, LIS-BBT, Bilthoven, St.Jansgasthuis, Weert,<br />

3Canisius-Wilhelmina Hospital, Medical Microbiology,<br />

Nijmegen

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