Second Generation Subtyping: A Proposed PulseNet Protocol for Multiple-Locus Variable-Number Tandem Repeat Analysis of Shiga Toxin–Producing Escherichia coli O157 (STEC O157)
Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. Foodborne Pathogens and Disease
(Impact Factor: 1.91).
02/2006; 3(1):118-31. DOI: 10.1089/fpd.2006.3.118
Most bacterial genomes contain tandem duplications of short DNA sequences, termed "variable-number tandem repeats" (VNTR). A subtyping method targeting these repeats, multiple-locus VNTR analysis (MLVA), has emerged as a powerful tool for characterization of clonal organisms such as Shiga toxin-producing Escherichia coli O157 (STEC O157). We modified and optimized a recently published MLVA scheme targeting 29 polymorphic VNTR regions of STEC O157 to render it suitable for routine use by public health laboratories that participate in PulseNet, the national and international molecular subtyping network for foodborne disease surveillance. Nine VNTR loci were included in the final protocol. They were amplified in three PCR reactions, after which the PCR products were sized using capillary electrophoresis. Two hundred geographically diverse, sporadic and outbreak- related STEC O157 isolates were characterized by MLVA and the results were compared with data obtained by pulsed-field gel electrophoresis (PFGE) using XbaI macrorestriction of genomic DNA. A total of 139 unique XbaI PFGE patterns and 162 MLVA types were identified. A subset of 100 isolates characterized by both XbaI and BlnI macrorestriction had 62 unique PFGE and MLVA types. Although the clustering of isolates by the two subtyping systems was generally in agreement, some discrepancies were observed. Importantly, MLVA was able to discriminate among some epidemiologically unrelated isolates which were indistinguishable by PFGE. However, among strains from three of the eight outbreaks included in the study, two single locus MLVA variants and one double locus variant were detected among epidemiologically implicated isolates that were indistinguishable by PFGE. Conversely, in three other outbreaks, isolates that were indistinguishable by MLVA displayed multiple PFGE types. An additional more extensive multi-laboratory validation of the MLVA protocol is in progress in order to address critical issues such as establishing epidemiologically relevant interpretation guidelines for the MLVA data.
Available from: Ana V Bustamante
- "MLVA profiles would emerge during an outbreak initially caused by a single clone. In relation to it, Hyytiä-Trees et al.  proposed that during an outbreak two isolates differing in one repeat unit at one or two loci could be considered as related isolates. This is supported by the observation that isolates with five or more repeat differences at one or more loci were epidemiologically unrelated. "
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ABSTRACT: VNTRs regions have been successfully used for bacterial subtyping; however, the hypervariability in VNTR loci is problematic when trying to predict the relationships among isolates. Since few studies have examined the mutation rate of these markers, our aim was to estimate mutation rates of VNTRs specific for verotoxigenic E. coli O157:H7. The knowledge of VNTR mutational rates and the factors affecting them would make MLVA more effective for epidemiological or microbial forensic investigations. For this purpose, we analyzed nine loci performing parallel, serial passage experiments (PSPEs) on 9 O157:H7 strains. The combined 9 PSPE population rates for the 8 mutating loci ranged from 4.4 × 10(-05) to 1.8 × 10(-03) mutations/generation, and the combined 8-loci mutation rate was of 2.5 × 10(-03) mutations/generation. Mutations involved complete repeat units, with only one point mutation detected. A similar proportion between single and multiple repeat changes was detected. Of the 56 repeat mutations, 59% were insertions and 41% were deletions, and 72% of the mutation events corresponded to O157-10 locus. For alleles with up to 13 UR, a constant and low mutation rate was observed; meanwhile longer alleles were associated with higher and variable mutation rates. Our results are useful to interpret data from microevolution and population epidemiology studies and particularly point out that the inclusion or not of O157-10 locus or, alternatively, a differential weighting data according to the mutation rates of loci must be evaluated in relation with the objectives of the proposed study.
09/2013; 2013:390354. DOI:10.1155/2013/390354
Available from: Andrea Sanso
- "A similar proportion was detected by other authors (Lindstedt et al., 2003) studying a larger number of samples. We observed variation at all nine loci and the most variable locus was TR2, coincidently with the results of Hyytiä-Trees et al. (2006) and Noller et al. (2006). "
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ABSTRACT: Shiga toxin-producing Escherichia coli (STEC) causes serious human illness such as hemolytic uremic syndrome (HUS). Argentina has the world's highest rate of this syndrome, which is the leading cause of acute renal failure among children. E. coli O157:H7 is the most common cause of HUS, but a substantial and growing proportion of this illness is caused by infection due to non-O157 strains. Multiple-locus variable-number tandem repeat analysis (MLVA) has become an established technique to subtype STEC. This review will address the use of routine STEC subtyping by MLVA in order to type this group of isolates and to get insight into the genetic diversity of native STEC. With regard to these objectives we modified and adapted two MLVA protocols, one exclusive for O157 and the other, a generic E. coli assay. A total of 202 STEC isolates, from different sources and corresponding to 20 serotypes, have been MLVA genotyped in our laboratory. In our experience, MLVA constitutes a very sensitive tool and enables us to perform an efficient STEC subtyping. The diversity found in many serotypes may be useful for future epidemiological studies of STEC clonality, applied to O157 as well as to non-O157 isolates.
Frontiers in Cellular and Infection Microbiology 08/2012; 2:111. DOI:10.3389/fcimb.2012.00111 · 3.72 Impact Factor
Available from: Angelika Miko
- "This method has been found to be very useful in discriminating otherwise indistinguishable types in highly clonal organisms. Currently, MLVA typing systems have been described for generic E. coli (Lindstedt et al., 2007) and for E. coli O157 strains (Lindstedt et al., 2003, 2004; Noller et al., 2003; Keys et al., 2005; Hyytia-Trees et al., 2006). MLVA was successfully used for tracing back outbreaks and sources of EHEC O157 and O103 strains in food, animals and humans (Lindstedt et al., 2003; Cooley et al., 2007; Murphy et al., 2008; Schimmer et al., 2008). "
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ABSTRACT: A published multiple-locus variable number of tandem-repeats analysis (MLVA) scheme was compared with pulsed-field gel electrophoresis (PFGE) for genotyping of 62 Escherichia coli O26 strains from humans, animals and food. The strains were isolated between 1947 and 2006 in eight countries on three continents and divided into 23 enterohaemorrhagic E. coli (EHEC), 33 enteropathogenic E. coli (EPEC), one enterotoxigenic E. coli (ETEC) and five avirulent strains. ETEC and avirulent E. coli serotyped as O26:H32. EHEC and EPEC O26 strains shared flagellar type H11 and the eae-beta gene, and divided into two clonal lineages by their arcA gene sequence and fermentation of rhamnose and dulcitol. The rhamnose/dulcitol-nonfermenting (RDF-), 'arcA allele 1' type comprised 22 EHEC and 15 EPEC strains. The rhamnose/dulcitol-fermenting (RDF+), 'arcA allele 2' type encompassed 17 EPEC and one EHEC strain. PFGE typing of the 62 O26 strains revealed 54 distinct patterns, whereas 29 profiles were obtained by MLVA. Like PFGE, MLVA divided RDF- and RDF+ O26:[H11] strains into two distinct clusters of related strains. The O26:H32 strains formed a separate PFGE cluster and two clusters by MLVA. MLVA was found as suitable, but more rapid and easier to standardize than PFGE for identifying genetically related E. coli O26 strains.
FEMS Microbiology Letters 02/2010; 303(2):137-46. DOI:10.1111/j.1574-6968.2009.01874.x · 2.12 Impact Factor
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