Methicillin-resistant Staphylococcus aureus genotyping using a small set of polymorphisms

A six-member SNP assay on the iPlex MassARRAY platform provides a rapid and affordable alternative for typing major African Staphylococcus aureus types

Purpose

Data on the clonal distribution of Staphylococcus aureus in Africa are scanty, partly due to the high costs and long turnaround times imposed by conventional genotyping methods such as spa and multilocus sequence typing (MLST), which means there is a need for alternative typing approaches. This study evaluated the discriminatory power, cost of and time required for genotyping Kenyan staphylococcal isolates using iPlex MassARRAY compared to conventional methods.

Methodology

Fifty-four clinical S. aureus isolates from three counties were characterized using iPlex MassARRAY, spa and MLST typing methods. Ten single-nucleotide polymorphisms (SNPs) from the S. aureus MLST loci were assessed by MassARRAY.

>Results

The MassARRAY assay identified 14 unique SNP genotypes, while spa typing and MLST revealed 22 spa types and 21 sequence types (STs) that displayed unique regional distribution. spa type t355 (ST152) was the dominant type overall while t037/t2029 (ST 241) dominated among the methicillin-resistant S. aureus (MRSA) isolates. MassARRAY showed 83 % and 82 % accuracy against spa typing and MLST, respectively, in isolate classification. Moreover, MassARRAY identified all MRSA strains and a novel spa type. MassARRAY had a reduced turnaround time (<12 h) compared to spa typing (4 days) and MLST (20 days). The MassARRAY reagent and consumable costs per isolate were approximately $18 USD compared to spa typing ($30 USD) and MLST ($126 USD).

Conclusion

This study demonstrated that iPlex MassARRAY can be adapted as a useful surveillance tool to provide a faster, more affordable and fairly accurate method for genotyping African S. aureus isolates to identify clinically significant genotypes, MRSA strains and emerging strain types.

Rapid discrimination of Staphylococcus epidermidis genotypes in a routine clinical microbiological laboratory using single nucleotide polymorphisms in housekeeping genes

PURPOSE

Staphylococcus epidermidis colonies often display several morphologies and antimicrobial susceptibility patterns when cultured from device-related infections, and may represent one or multiple genotypes. Genotyping may be helpful in the clinical interpretation, but is time consuming and expensive. We wanted to establish a method for rapid discrimination of S. epidermidis genotypes for use in a routine microbiology laboratory.

METHODOLOGY

A real-time PCR targeting eight discriminatory class I or II single-nucleotide polymorphisms (SNPs) in six of the seven housekeeping genes was constructed. Post PCR, high-resolution melt (HRM) analysis using EvaGreen as fluorophore discriminated amplicons based on their percentage GC content.

RESULTS

In silico, 42 representative sequence types (STs), including all major MLST group and subgroup founders, were separated into 23 different cluster profiles with a Simpson's index of diversity of 0.97. By HRM-PCR, 11 commonly encountered hospital and outbreak STs were separated into eight HRM patterns.

CONCLUSION

This method can rapidly establish whether S. epidermidis strains belong to different genotypes. It can be used in patients with S. epidermidis infections, as an aid in outbreak investigations and to select strains for investigation with more discriminatory methods, saving workload and costs. Results may be obtained the same day as culture results. Its strength lies mainly in indicating differences, as some STs may have the same melt profile. Changes in S. epidermidis epidemiology may warrant alterations in the inclusion of SNPs. We believe this method can reduce the threshold for performing genotyping analysis on an increasingly important nosocomial pathogen.

Rapid SNP Detection and Genotyping of Bacterial Pathogens by Pyrosequencing

Bacterial identification and typing are fixtures of microbiology laboratories and are vital aspects of our response mechanisms in the event of foodborne outbreaks and bioterrorist events. Whole genome sequencing (WGS) is leading the way in terms of expanding our ability to identify and characterize bacteria through the identification of subtle differences between genomes (e.g. single nucleotide polymorphisms (SNPs) and insertions/deletions). Modern high-throughput technologies such as pyrosequencing can facilitate the typing of bacteria by generating short-read sequence data of informative regions identified by WGS analyses, at a fraction of the cost of WGS. Thus, pyrosequencing systems remain a valuable asset in the laboratory today. Presented in this chapter are two methods developed in the Amoako laboratory that detail the identification and genotyping of bacterial pathogens. The first targets canonical single nucleotide polymorphisms (canSNPs) of evolutionary importance in Bacillus anthracis, the causative agent of Anthrax. The second assay detects Shiga-toxin (stx) genes, which are associated with virulence in Escherichia coli and Shigella spp., and differentiates the subtypes of stx-1 and stx-2 based on SNP loci. These rapid methods provide end users with important information regarding virulence traits as well as the evolutionary and biogeographic origin of isolates.

Whole genome sequencing to investigate a putative outbreak of the virulent community-associated methicillin-resistant Staphylococcus aureus ST93 clone in a remote Indigenous community

We report two cases of severe pneumonia due to clone ST93 methicillin-resistant Staphylococcus aureus (MRSA) presenting from a remote Australian Indigenous community within a 2-week period, and the utilization of whole genome sequences to determine whether these were part of an outbreak. S. aureus was isolated from 12 of 92 nasal swabs collected from 25 community households (including the two index households); one isolate was ST93. Three of five skin lesion S. aureus isolates obtained at the community were ST93. Whole genome sequencing of the ST93 isolates from this study and a further 20 ST93 isolates from the same region suggested that recent transmission and progression to disease had not taken place. The proximity in time and space of the two severe pneumonia cases is probably a reflection of the high burden of disease due to ST93 MRSA in this population where skin infections and household crowding are common.

The Epidemiology of Staphylococcus aureus and Panton-Valentine Leucocidin (pvl) in Central Australia, 2006-2010

Background

The Central Australian Indigenous population has a high incidence of Staphylococcus aureus bacteremia (SAB) but little is known about the local molecular epidemiology.

Methods

Prospective observational study of bacteremic and nasal colonizing S.aureus isolates between June 2006 to June 2010. All isolates underwent single nucleotide polymorphism (SNP) genotyping and testing for the presence of the Panton-Valentine Leucocidin (pvl) gene.

Results

Invasive isolates (n = 97) were predominantly ST93 (26.6 %) and pvl positive (54.3 %), which was associated with skin and soft tissue infections (OR 4.35, 95 % CI 1.16, 16.31). Non-multiresistant MRSA accounted for 31.9 % of bacteremic samples and showed a trend to being healthcare associated (OR 2.16, 95 % CI 0.86, 5.40). Non-invasive isolates (n = 54) were rarely ST93 (1.9 %) or pvl positive (7.4 %).

Conclusions

In Central Australia, ST93 was the dominant S.aureus clone, and was frequently pvl positive and associated with an aggressive clinical phenotype. Whether non-nasal carriage is more important with invasive clones or whether colonization occurs only transiently remains to be elucidated.

Do Staphylococcus epidermidis Genetic Clusters Predict Isolation Sources?

Staphylococcus epidermidis is a ubiquitous colonizer of human skin and a common cause of medical device-associated infections. The extent to which the population genetic structure of S. epidermidis distinguishes commensal from pathogenic isolates is unclear. Previously, Bayesian clustering of 437 multilocus sequence types (STs) in the international database revealed a population structure of six genetic clusters (GCs) that may reflect the species' ecology. Here, we first verified the presence of six GCs, including two (GC3 and GC5) with significant admixture, in an updated database of 578 STs. Next, a single nucleotide polymorphism (SNP) assay was developed that accurately assigned 545 (94%) of 578 STs to GCs. Finally, the hypothesis that GCs could distinguish isolation sources was tested by SNP typing and GC assignment of 154 isolates from hospital patients with bacteremia and those with blood culture contaminants and from nonhospital carriage. GC5 was isolated almost exclusively from hospital sources. GC1 and GC6 were isolated from all sources but were overrepresented in isolates from nonhospital and infection sources, respectively. GC2, GC3, and GC4 were relatively rare in this collection. No association was detected between fdh-positive isolates (GC2 and GC4) and nonhospital sources. Using a machine learning algorithm, GCs predicted hospital and nonhospital sources with 80% accuracy and predicted infection and contaminant sources with 45% accuracy, which was comparable to the results seen with a combination of five genetic markers (icaA, IS256, sesD [bhp], mecA, and arginine catabolic mobile element [ACME]). Thus, analysis of population structure with subgenomic data shows the distinction of hospital and nonhospital sources and the near-inseparability of sources within a hospital.

High-resolution melting-curve analysis of obg gene to differentiate the temperature-sensitive Mycoplasma synoviae vaccine strain MS-H from non-temperature-sensitive strains

Temperature-sensitive (ts⁺) vaccine strain MS-H is the only live attenuated M. synoviae vaccine commercially available for use in poultry. With increasing use of this vaccine to control M. synoviae infections, differentiation of MS-H from field M. synoviae strains and from rarely occurring non-temperature-sensitive (ts^–) MS-H revertants has become important, especially in countries where local strains are indistinguishable from MS-H by sequence analysis of variable lipoprotein haemagglutinin (vlhA) gene. Single nucleotide polymorphisms (SNPs) in the obg of MS-H have been found to associate with ts phenotype. In this study, four PCRs followed by high-resolution melting (HRM)-curve analysis of the regions encompassing these SNPs were developed and evaluated for their potential to differentiate MS-H from 36 M. synoviae strains/isolates. The nested-obg PCR-HRM differentiated ts⁺ MS-H vaccine not only from field M. synoviae strains/isolates but also from ts^– MS-H revertants. The mean genotype confidence percentages, 96.9±3.4 and 8.8±11.2 for ts⁺ and ts^– strains, respectively, demonstrated high differentiating power of the nested-obg PCR-HRM. Using a combination of nested-obg and obg-F3R3 PCR-HRM, 97% of the isolates/strains were typed according to their ts phenotype with all MS-H isolates typed as MS-H. A set of respiratory swabs from MS-H vaccinated specific pathogen free chickens and M. synoviae infected commercial chicken flocks were tested using obg PCR-HRM system and results were consistent with those of vlhA genotyping. The PCR-HRM system developed in this study, proved to be a rapid and reliable tool using pure M. synoviae cultures as well as direct clinical specimens.

SNaPAfu: a novel single nucleotide polymorphism multiplex assay for aspergillus fumigatus direct detection, identification and genotyping in clinical specimens

Objective

Early diagnosis of invasive aspergillosis is essential for positive patient outcome. Likewise genotyping of fungal isolates is desirable for outbreak control in clinical setting. We designed a molecular assay that combines detection, identification, and genotyping of Aspergillus fumigatus in a single reaction.

Methods

To this aim we combined 20 markers in a multiplex reaction and the results were seen following mini-sequencing readings. Pure culture extracts were firstly tested. Thereafter, Aspergillus-DNA samples obtained from clinical specimens of patients with possible, probable, or proven aspergillosis according to European Organization for the Research and Treatment of Cancer/Mycoses Study Group (EORTC/MSG) criteria.

Results

A new set of designed primers allowed multilocus sequence typing (MLST) gene amplification in a single multiplex reaction. The newly proposed SNaPAfu assay had a specificity of 100%, a sensitivity of 89% and detection limit of 1 ITS copy/mL (∼0.5 fg genomic Aspergillus-DNA/mL). The marker A49_F was detected in 89% of clinical samples. The SNaPAfu assay was accurately performed on clinical specimens using only 1% of DNA extract (total volume 50 µL) from 1 mL of used bronchoalveolar lavage.

Conclusions

The first highly sensitive and specific, time- and cost-economic multiplex assay was implemented that allows detection, identification, and genotyping of A. fumigatus strains in a single amplification followed by mini-sequencing reaction. The new test is suitable to clinical routine and will improve patient management.

Genome-wide single nucleotide polymorphism-based assay for high-resolution epidemiological analysis of the methicillin-resistant Staphylococcus aureus hospital clone EMRSA-15

The EMRSA-15 clone is a major cause of nosocomial methicillin-resistant Staphylococcus aureus (MRSA) infections in the UK and elsewhere but existing typing methodologies have limited capacity to discriminate closely related strains, and are often poorly reproducible between laboratories. Here, we report the design, development and validation of a genome-wide single nucleotide polymorphism (SNP) typing method and compare it to established methods for typing of EMRSA-15. In order to identify discriminatory SNPs, the genomes of 17 EMRSA-15 strains, selected to represent the breadth of genotypic and phenotypic diversity of EMRSA-15 isolates in Scotland, were determined and phylogenetic reconstruction was carried out. In addition to 17 phylogenetically informative SNPs, five binary markers were included to form the basis of an EMRSA-15 genotyping assay. The SNP-based typing assay was as discriminatory as pulsed-field gel electrophoresis, and significantly more discriminatory than staphylococcal protein A (spa) typing for typing of a representative panel of diverse EMRSA-15 strains, isolates from two EMRSA-15 hospital outbreak investigations, and a panel of bacteraemia isolates obtained in healthcare facilities in the east of Scotland during a 12-month period. The assay is a rapid, and reproducible approach for epidemiological analysis of EMRSA-15 clinical isolates in Scotland. Unlike established methods the DNA sequence-based method is ideally suited for inter-laboratory comparison of identified genotypes, and its flexibility lends itself to supplementation with additional SNPs or markers for the identification of novel S. aureus strains in other regions of the world.

Novel erm(T)-carrying multiresistance plasmids from porcine and human isolates of methicillin-resistant Staphylococcus aureus ST398 that also harbor cadmium and copper resistance determinants

This study describes three novel erm(T)-carrying multiresistance plasmids that also harbor cadmium and copper resistance determinants. The plasmids, designated pUR1902, pUR2940, and pUR2941, were obtained from porcine and human methicillin-resistant Staphylococcus aureus (MRSA) of the clonal lineage ST398. In addition to the macrolide-lincosamide-streptogramin B (MLSB) resistance gene erm(T), all three plasmids also carry the tetracycline resistance gene tet(L). Furthermore, plasmid pUR2940 harbors the trimethoprim resistance gene dfrK and the MLSB resistance gene erm(C), while plasmids pUR1902 and pUR2941 possess the kanamycin/neomycin resistance gene aadD. Sequence analysis of approximately 18.1 kb of the erm(T)-flanking region from pUR1902, 20.0 kb from pUR2940, and 20.8 kb from pUR2941 revealed the presence of several copies of the recently described insertion sequence ISSau10, which is probably involved in the evolution of the respective plasmids. All plasmids carried a functional cadmium resistance operon with the genes cadD and cadX, in addition to the multicopper oxidase gene mco and the ATPase copper transport gene copA, which are involved in copper resistance. The comparative analysis of S. aureus RN4220 and the three S. aureus RN4220 transformants carrying plasmid pUR1902, pUR2940, or pUR2941 revealed an 8-fold increase in CdSO4 and a 2-fold increase in CuSO4 MICs. The emergence of multidrug resistance plasmids that also carry heavy metal resistance genes is alarming and requires further surveillance. The colocalization of antimicrobial resistance genes and genes that confer resistance to heavy metals may facilitate their persistence, coselection, and dissemination.

Prospective genotyping of hospital-acquired methicillin-resistant Staphylococcus aureus isolates by use of a novel, highly discriminatory binary typing system

In settings of high methicillin-resistant Staphylococcus aureus (MRSA) prevalence, detection of nosocomial transmission events can be difficult without strain typing. Prospective typing of all MRSA isolates could potentially identify transmission in a timely fashion, making infection control responses to outbreaks more effective. We describe the development and evaluation of a novel 19-target binary typing system for MRSA using the multiplex-PCR/reverse line blot hybridization platform. Pulse-field gel electrophoresis (PFGE), spa typing, and phage-derived open reading frame (PDORF) typing were performed for comparison. The system was utilized to identify transmission events in three general surgical wards over a 12-month period. Initial MRSA isolates from 273 patients were differentiated into 55 unique binary types. One or more potential contacts colonized with the same MRSA strain were identified in 69 of 87 cases (79%) in which definite or possible nosocomial MRSA acquisition had occurred. The discriminatory power of the typing system was similar to that of PFGE (Simpson's index of diversity [D] = 0.994, versus 0.987) and higher than that of spa typing (D = 0.926). Strain typing reduced the total number of potential MRSA-colonized source contacts from 859 to 212 and revealed temporal clustering of transmission events. Prospective MRSA typing using this novel binary typing method can rapidly identify nosocomial transmission events, even in high-prevalence settings, which allows timely infection control interventions. The system is rapid, inexpensive, discriminatory, and suitable for routine, high-throughput use in the hospital microbiology laboratory.

Real-time PCR genotyping of Neisseria gonorrhoeae isolates using 14 informative single nucleotide polymorphisms on gonococcal housekeeping genes

OBJECTIVES

Neisseria gonorrhoeae multilocus sequence typing (MLST) is a key tool used to investigate the macroepidemiology of gonococci exhibiting antimicrobial resistance (AMR). However, the utility of MLST is undermined by the high workload and cost associated with DNA sequencing of seven housekeeping genes. In this study, we investigated single nucleotide polymorphism (SNP)-based profiling as a means of circumventing these problems.

METHODS

A total of 14 SNPs were selected following in silico analysis of available N. gonorrhoeae MLST sequence data. Real-time PCR methods were developed for characterization of each SNP and applied to 86 N. gonorrhoeae isolates exhibiting a range of ceftriaxone MICs. Twenty-one isolates had previously been characterized by MLST. The ability of the real-time PCR methods to generate SNP profiles and of the 14 SNP profiles to predict MLST types were assessed.

RESULTS

In silico analysis of the 217 different MLST types available on the Neisseria web site showed 181 different 14 SNP profiles (Simpson's index of diversity = 0.998). When the real-time PCR methods were applied to the isolates, 29 different 14 SNP profiles were obtained for 83 isolates. Predicted MLST types were consistent with those for the 21 isolates previously characterized by MLST. For 46 isolates with raised ceftriaxone MICs (≥ 0.03 mg/L), there were 14 different 14 SNP profiles observed, with two profiles accounting for more than half of these isolates.

CONCLUSIONS

The 14 SNP real-time PCR profiling approach is a simple and cost-effective alternative to N. gonorrhoeae MLST and could be used to complement current typing schemes in N. gonorrhoeae AMR investigations.

Harnessing the genome: development of a hierarchical typing scheme for meticillin-resistant Staphylococcus aureus

A major barrier to using genome sequencing in medical microbiology is the ability to interpret the data. New schemes that provide information about the importance of sequence variation in both clinical and public health settings are required. Meticillin-resistant Staphylococcus aureus (MRSA) is an important nosocomial pathogen that is being observed with increasing frequency in community settings. Better tools are needed to improve our understanding of its transmissibility and micro-epidemiology in order to develop effective interventions. Using DNA microarray technology we identified a set of 20 binary targets whose presence or absence could be determined by PCR, producing a PCR binary typing scheme (PCR-BT). This was combined with multi-locus sequence type-based, sequence nucleotide polymorphism typing to form a hierarchical typing scheme. When applied to a set of epidemiologically unrelated isolates, a high degree of concordance was observed with PFGE (98.8 %). The scheme was able to detect the presence or absence of an outbreak strain in eight out of nine outbreak investigations, demonstrating epidemiological concordance. PCR-BT was better than PFGE at distinguishing between outbreak strains, particularly where epidemic MRSA-15 was involved. The method developed here is a rapid, digital typing scheme for S. aureus for use in both micro- and macro-epidemiological investigations that has the advantage of being suitable for use in routine diagnostic laboratories. The targets are defined and therefore the types can be defined by any platform capable of detecting the sequences used, including whole genome sequencing.

The current role of pulsed-field gel electrophoresis in methicillin-resistant Staphylococcus aureus (MRSA) typing and the retrospective identification of outbreaks

The objective of this paper was to investigate whether retrospective pulsed-field gel electrophoresis (PFGE) of methicillin-resistant Staphylococcus aureus (MRSA) isolates at two-year intervals is suitable and sufficient to demonstrate changes in the clonal composition of MRSA isolates and to identify previously undetected local outbreaks. PFGE patterns of 400 MRSA isolates were collected between 2004 and 2008 at the University of Rostock Hospital in Germany, and were used to assess the prevalence of MRSA clones at different time points. Only minor changes were detected. The combined analysis of all isolates that were collected per year reduced the time needed to perform this laborious procedure. The retrospective identification of outbreaks may require shorter intervals. Improved infection prevention and control measures prevented further outbreaks in previously affected hospital departments. In conclusion, PGFE at two-year intervals is sufficient to detect changes in the clonal composition of local MRSA isolates. If time for identification is important during outbreak investigations, more rapid methods with a similarly high discriminatory power such as spa typing should be used.

Epidemiological tracking and population assignment of the non-clonal bacterium, Burkholderia pseudomallei

Rapid assignment of bacterial pathogens into predefined populations is an important first step for epidemiological tracking. For clonal species, a single allele can theoretically define a population. For non-clonal species such as Burkholderia pseudomallei, however, shared allelic states between distantly related isolates make it more difficult to identify population defining characteristics. Two distinct B. pseudomallei populations have been previously identified using multilocus sequence typing (MLST). These populations correlate with the major foci of endemicity (Australia and Southeast Asia). Here, we use multiple Bayesian approaches to evaluate the compositional robustness of these populations, and provide assignment results for MLST sequence types (STs). Our goal was to provide a reference for assigning STs to an established population without the need for further computational analyses. We also provide allele frequency results for each population to enable estimation of population assignment even when novel STs are discovered. The ability for humans and potentially contaminated goods to move rapidly across the globe complicates the task of identifying the source of an infection or outbreak. Population genetic dynamics of B. pseudomallei are particularly complicated relative to other bacterial pathogens, but the work here provides the ability for broad scale population assignment. As there is currently no independent empirical measure of successful population assignment, we provide comprehensive analytical details of our comparisons to enable the reader to evaluate the robustness of population designations and assignments as they pertain to individual research questions. Finer scale subdivision and verification of current population compositions will likely be possible with genotyping data that more comprehensively samples the genome. The approach used here may be valuable for other non-clonal pathogens that lack simple group-defining genetic characteristics and provides a rapid reference for epidemiologists wishing to track the origin of infection without the need to compile population data and learn population assignment algorithms.

Burkholderia pseudomallei is a soil-dwelling bacterium that can infect a large range of hosts. In humans, B. pseudomallei causes melioidosis, and typical routes of entry include open wounds, inhalation, or ingestion. Clinical features are diverse, although pneumonia and abscess formation are common. High rates of recombination within the genome of this bacterium have confounded attempts to match clinical samples to geographically defined populations. Here we provide a reference that simplifies source attribution issues. We applied population assignment software to previously generated sequence data from seven B. pseudomallei genes to define the major geographic populations within this species. We evaluated the robustness of our results by comparison with two additional population assignment programs. We present the likelihood that each variant is assigned to a particular geographic population. This information can be used to assign novel B. pseudomallei isolates to a geographic population without needing to learn and run cumbersome population assignment applications. This method can also be used for other bacteria that are difficult to source-attribute due to high levels of genomic variation and recombination.

The utility of high-resolution melting analysis of SNP nucleated PCR amplicons--an MLST based Staphylococcus aureus typing scheme

High resolution melting (HRM) analysis is gaining prominence as a method for discriminating DNA sequence variants. Its advantage is that it is performed in a real-time PCR device, and the PCR amplification and HRM analysis are closed tube, and effectively single step. We have developed an HRM-based method for Staphylococcus aureus genotyping. Eight single nucleotide polymorphisms (SNPs) were derived from the S. aureus multi-locus sequence typing (MLST) database on the basis of maximized Simpson's Index of Diversity. Only G↔A, G↔T, C↔A, C↔T SNPs were considered for inclusion, to facilitate allele discrimination by HRM. In silico experiments revealed that DNA fragments incorporating the SNPs give much higher resolving power than randomly selected fragments. It was shown that the predicted optimum fragment size for HRM analysis was 200 bp, and that other SNPs within the fragments contribute to the resolving power. Six DNA fragments ranging from 83 bp to 219 bp, incorporating the resolution optimized SNPs were designed. HRM analysis of these fragments using 94 diverse S. aureus isolates of known sequence type or clonal complex (CC) revealed that sequence variants are resolved largely in accordance with G+C content. A combination of experimental results and in silico prediction indicates that HRM analysis resolves S. aureus into 268 “melt types” (MelTs), and provides a Simpson's Index of Diversity of 0.978 with respect to MLST. There is a high concordance between HRM analysis and the MLST defined CCs. We have generated a Microsoft Excel key which facilitates data interpretation and translation between MelT and MLST data. The potential of this approach for genotyping other bacterial pathogens was investigated using a computerized approach to estimate the densities of SNPs with unlinked allelic states. The MLST databases for all species tested contained abundant unlinked SNPs, thus suggesting that high resolving power is not dependent upon large numbers of SNPs.

Comparison of a multiplexed MassARRAY system with real-time allele-specific PCR technology for genotyping of methicillin-resistant Staphylococcus aureus

The Sequenom MassARRAY iPLEX single-nucleotide polymorphism (SNP) typing platform uses matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) coupled with single-base extension PCR for high-throughput multiplex SNP detection. In this study, we investigated the use of iPLEX MassARRAY technology for methicillin-resistant Staphylococcus aureus (MRSA) genotyping. A 16-plex MassARRAY iPLEX GOLD assay (MRSA-iPLEX) was developed that targets a set of informative SNPs and binary genes for MRSA characterization. The method was evaluated with 147 MRSA isolates, and the results were compared with those of an established SYBR Green-based real-time PCR system utilizing the same SNP-binary markers. A total of 2352 markers belonging to 44 SNP-binary profiles were analysed by both real-time PCR and MRSA-iPLEX. With real-time PCR as the reference standard, MRSA-iPLEX correctly assigned 2298 of the 2352 (97.7%) markers. Sequence variation in the MRSA-iPLEX primer targets accounted for the majority of MRSA-iPLEX erroneous results, highlighting the importance of primer target selection. MRSA-iPLEX provided optimal throughput for MRSA genotyping, and was, on a reagent basis, more cost-effective than the real-time PCR methods. The 16-plex MRSA-iPLEX is a suitable alternative to SYBR Green-based real-time PCR typing of major sequence types and clonal complexes of MRSA.

Diversity of community acquired MRSA carrying the PVL gene in Queensland and New South Wales, Australia

Emergence and dissemination of community acquired methicillin resistant Staphylococcus aureus (CA-MRSA) strains are being reported with increasing frequency in Australia and worldwide. These strains of CA-MRSA are genetically diverse and distinct in Australia. Genotyping of CA-MRSA using eight highly-discriminatory single nucleotide polymorphisms (SNPs) is a rapid and robust method for monitoring the dissemination of these strains in the community. In this study, a SNP genotyping method was used to investigate the molecular epidemiology of 249 community acquired non-multiresistant MRSA (nm-MRSA) isolates over a 12-month period from routine diagnostic specimens. A real-time PCR for the presence of Panton-Valentine leukocidin (PVL) was also performed on these isolates. The CA-MRSA isolates were sourced from a large private laboratory in Brisbane, Australia that serves a wide geographic region encompassing Queensland and Northern New South Wales. This study identified 16 different STs and 98% of the CA-MRSA isolates were positive for the PVL gene. The most common ST was ST93 with 41% of isolates testing positive for this clone.

Preliminary validation of a novel high-resolution melt-based typing method based on the multilocus sequence typing scheme of Streptococcus pyogenes

The major limitation of current typing methods for Streptococcus pyogenes, such as emm sequence typing and T typing, is that these are based on regions subject to considerable selective pressure. Multilocus sequence typing (MLST) is a better indicator of the genetic backbone of a strain but is not widely used due to high costs. The objective of this study was to develop a robust and cost-effective alternative to S. pyogenes MLST. A 10-member single nucleotide polymorphism (SNP) set that provides a Simpson's Index of Diversity (D) of 0.99 with respect to the S. pyogenes MLST database was derived. A typing format involving high-resolution melting (HRM) analysis of small fragments nucleated by each of the resolution-optimized SNPs was developed. The fragments were 59-119 bp in size and, based on differences in G+C content, were predicted to generate three to six resolvable HRM curves. The combination of curves across each of the 10 fragments can be used to generate a melt type (MelT) for each sequence type (ST). The 525 STs currently in the S. pyogenes MLST database are predicted to resolve into 298 distinct MelTs and the method is calculated to provide a D of 0.996 against the MLST database. The MelTs are concordant with the S. pyogenes population structure. To validate the method we examined clinical isolates of S. pyogenes of 70 STs. Curves were generated as predicted by G+C content discriminating the 70 STs into 65 distinct MelTs.

A flexible and efficient template format for circular consensus sequencing and SNP detection

A novel template design for single-molecule sequencing is introduced, a structure we refer to as a SMRTbell™ template. This structure consists of a double-stranded portion, containing the insert of interest, and a single-stranded hairpin loop on either end, which provides a site for primer binding. Structurally, this format resembles a linear double-stranded molecule, and yet it is topologically circular. When placed into a single-molecule sequencing reaction, the SMRTbell template format enables a consensus sequence to be obtained from multiple passes on a single molecule. Furthermore, this consensus sequence is obtained from both the sense and antisense strands of the insert region. In this article, we present a universal method for constructing these templates, as well as an application of their use. We demonstrate the generation of high-quality consensus accuracy from single molecules, as well as the use of SMRTbell templates in the identification of rare sequence variants.

Highly discriminatory single-nucleotide polymorphism interrogation of Escherichia coli by use of allele-specific real-time PCR and eBURST analysis

In total, 782 Escherichia coli strains originating from various host sources have been analyzed in this study by using a highly discriminatory single-nucleotide polymorphism (SNP) approach. A set of eight SNPs, with a discrimination value (Simpson's index of diversity [D]) of 0.96, was determined using the Minimum SNPs software, based on sequences of housekeeping genes from the E. coli multilocus sequence typing (MLST) database. Allele-specific real-time PCR was used to screen 114 E. coli isolates from various fecal sources in Southeast Queensland (SEQ). The combined analysis of both the MLST database and SEQ E. coli isolates using eight high-D SNPs resolved the isolates into 74 SNP profiles. The data obtained suggest that SNP typing is a promising approach for the discrimination of host-specific groups and allows for the identification of human-specific E. coli in environmental samples. However, a more diverse E. coli collection is required to determine animal- and environment-specific E. coli SNP profiles due to the abundance of human E. coli strains (56%) in the MLST database.

Development of a multiplex primer extension assay for rapid detection of Salmonella isolates of diverse serotypes

Food-borne salmonellosis is a major manifestation of gastrointestinal disease in humans across the globe. Accurate and rapid identification methods could positively impact the identification of isolates, enhance outbreak investigation, and aid infection control. The SNaPshot multiplex system is a primer extension-based method that enables multiplexing of single nucleotide polymorphisms (SNPs). Here the method has been developed for the identification of five Salmonella serotypes, commonly detected in the United Kingdom, based on serotype-specific SNPs identified in the multilocus sequence typing (MLST) database of Salmonella enterica. The SNPs, in genes hemD, thrA, purE, and sucA, acted as surrogate markers for S. enterica serovars Typhimurium, Enteritidis, Virchow, Infantis, and Braenderup. The multiplex primer extension assay (MPEA) was conducted in two separate panels and evaluated using 152 Salmonella enterica isolates that were characterized by MLST. The MPEA was shown to be 100% specific and sensitive, within this collection of isolates. The MPEA is a sensitive and specific method for the identification and detection of Salmonella serotypes based upon SNPs seen in MLST data. The method can be applied in less than 6 h and has the potential to improve patient care and source tracing. The utility of the assay for identification of Salmonella serotypes directly from clinical specimens and food samples warrants further investigation.

Multiplex real-time PCR for rapid Staphylococcal cassette chromosome mec typing

Rapid identification and typing of methicillin (meticillin)-resistant Staphylococcus aureus (MRSA) is important for understanding the molecular epidemiology and evolution of MRSA and offers many advantages for controlling transmission in both health care and community settings. We developed a rapid molecular beacon real-time PCR (MB-PCR) assay for staphylococcal cassette chromosome mec (SCCmec) typing. The design of this system is based on the established definition of SCCmec types, namely, the combination of the mec class complex with the ccr allotype. The assay consists of two multiplex panels, the combination of which results in two targets (mec class, ccr) for each SCCmec type. MB-PCR panel I targets mecA, ccrB2, mecI, and the DeltamecR1-IS1272 junction (mec class B); it can definitively identify SCCmec types II and IV. MB-PCR panel II detects ccrC, ccrB1, ccrB3, ccrB4, and the DeltamecR1-IS431 junction (mec class C2) and is therefore capable of identifying SCCmec types I, III, V, and VI in combination with panel I. The method can also detect the recently described novel SCCmec type VIII (ccrAB4 with mec class A). Our assay demonstrated 100% concordance when applied to 162 MRSA strains previously characterized by traditional SCCmec typing schemes. Four geographically and temporally diverse S. aureus collections were also successfully classified by our assay, along with 1,683 clinical isolates comprising both hospital- and community-associated MRSA and methicillin-susceptible S. aureus strains. As many as 96 isolates can be classified easily within 3 to 4 h, including DNA isolation, PCR cycling, and analysis. The assay is rapid, robust, sensitive, and cost-effective, allowing for high-throughput SCCmec typing of MRSA isolates.

A new multiplex PCR-based reverse line-blot hybridization (mPCR/RLB) assay for rapid staphylococcal cassette chromosome mec (SCCmec) typing

The aim of this study was to develop a new discriminatory method for MRSA SCCmec typing based on multiplex PCR-based reverse line-blot hybridization (mPCR/RLB) assay to enable rapid identification and classification of MRSA SCCmec types in a clinical laboratory. Forty-five primer sets and 49 probes were designed and tested in uniplex PCR (uPCR) and mPCR/RLB. Probes were compared in silico to 14 whole-genome sequences and 18 partial SCCmec gene sequences of Staphylococcus aureus and complete genome and partial SCCmec genes of seven non-MRSA strains, including meticillin-susceptible S. aureus and meticillin-resistant coagulase-negative staphylococci. The method was tested on a set of 42 well-characterized reference MRSA strains. It identified all five epidemiologically relevant SCCmec types and 26 subtypes, including established and new subtypes of SCCmec III, IV (eight subtypes each) and V (three subtypes). The discriminatory power of mPCR/RLB SCCmec typing was similar to that of MLST and spa typing (Simpson indices of diversity of 0.916, 0.926 and 0.882, respectively; differences not statistically significant). The application of mPCR/RLB hybridization assay to MRSA SCCmec typing can improve the specificity, discriminatory power and throughput of the typing procedure. The detection of up to 43 mPCR products in a single hybridization assay transforms MRSA SCCmec typing from passive epidemiological library typing into a potential tool for near-real-time infection control surveillance and tracking of MRSA transmission in hospitals.

Prevalence of Staphylococcus aureus strains in an Australian cohort, 1989-2003: evidence for the low prevalence of the toxic shock toxin and Panton-Valentine leukocidin genes

The purpose of this paper is to determine the prevalence of the toxic shock toxin gene (tst) and to enumerate the circulating strains of methicillin-sensitive Staphylococcus aureus (MSSA) and methicillin-resistant S. aureus (MRSA) in Australian isolates collected over two decades. The aim was to subtype these strains using the binary genes pvl, cna, sdrE, pUB110 and pT181. Isolates were assayed using real-time polymerase chain reaction (PCR) for mecA, nuc, 16 S rRNA, eight single-nucleotide polymorphisms (SNPs) and for five binary genes. Two real-time PCR assays were developed for tst. The 90 MRSA isolates belonged to CC239 (39 in 1989, 38 in 1996 and ten in 2003), CC1 (two in 2003) and CC22 (one in 2003). The majority of the 210 MSSA isolates belonged to CC1 (26), CC5 (24) and CC78 (23). Only 18 isolates were tst-positive and only 15 were pvl-positive. Nine MSSA isolates belonged to five binary types of ST93, including two pvl-positive types. The proportion of tst-positive and pvl-positive isolates was low and no significant increase was demonstrated. Dominant MSSA clonal complexes were similar to those seen elsewhere, with the exception of CC78. CC239 MRSA (AUS-2/3) was the predominant MRSA but decreased significantly in prevalence, while CC22 (EMRSA-15) and CC1 (WA-1) emerged. Genetically diverse ST93 MSSA predated the emergence of ST93-MRSA (the Queensland clone).

A nanoliter fluidic platform for large-scale single nucleotide polymorphism genotyping

Discovery, evaluation, and understanding the biological relevance of single nucleotide polymorphisms (SNPs) and their associated phenotypes is relevant to many applications, including human disease diagnostics, pathogen detection, and identification of genetic traits impacting agricultural practices, both in terms of food quality and production efficiency. Validation of putative SNP associations in large-scale cohorts is currently impeded by the technical challenges and high cost inherent in analyzing large numbers of samples using available SNP genotyping platforms. We describe in this report the implementation of the 5′-exonuclease, biallelic PCR assay for SNP genotyping (TaqMan) in a nanofluidic version of a high-density microplate. System performance was assessed using a panel of 32 TaqMan SNP genotyping assays targeted to human polymorphisms. This functional test of the nanoliter fluidic SNP genotyping platform delivered genotyping call rates and accuracies comparable to the same larger volume reactions in microplate systems.

Multiplexed genotyping of methicillin-resistant Staphylococcus aureus isolates by use of padlock probes and tag microarrays

We developed and tested a ligase-based assay for simultaneous probing of core genome diversity and typing of methicillin resistance determinants in Staphylococcus aureus isolates. This assay uses oligonucleotide padlock probes whose two ends are joined through ligation when they hybridize to matching target DNA. Circularized probes are subsequently amplified by PCR with common primers and analyzed by using a microarray equipped with universal tag probes. Our set of padlock probes includes oligonucleotides targeting diagnostic regions in the mecA, ccrB, and ccrC genes of the SCCmec cassette in methicillin-resistant S. aureus (MRSA). These probes determine the presence and type of SCCmec cassettes (i.e., SCCmec types I to VI). Additional oligonucleotides interrogate a number of highly informative single nucleotide polymorphisms retrieved from a multilocus sequence typing (MLST) database. These latter probes enable the exploration of isolates' phylogenetic affiliation with clonal lineages of MRSA as revealed by MLST. The described assay enables multiplexed genotyping of MRSA based on a single-tube reaction. With a set of clinical isolates of MRSA and methicillin-susceptible S. aureus (n=66), 100% typeability and 100% accuracy were achieved. The assay described here provides valuable genotypic information that may usefully complement existing genotyping procedures. Moreover, the assay is easily extendable by incorporating additional padlock probes and will be valuable for the quick and cost-effective probing of large numbers of polymorphisms at different genomic locations, such as those ascertained through currently ongoing mutation discovery and genome resequencing projects.

Influence of medium components and fermentation conditions on the production of bacteriocin(s) by Bacillus licheniformis AnBa9

Recently, antibacterial peptides are gaining more attention as an alternative therapeutics and food and other products from spoilage and deterioration. Antibacterial peptide producing strains were isolated from sediments of slaughterhouse sewage wastes. One among them, identified as Bacillus licheniformis inhibited the growth of several gram positive bacteria. Response surface methodology with central composite rotary design was used for optimization of fermentation medium and conditions for antibacterial peptide production. Lactose, NH(4)NO(3), yeast extract and NaCl and environmental factors such as pH, temperature and incubation period were selected as variables. Among ingredients, high concentration of yeast extract and NaCl had a positive effect on antibacterial peptide production and specific activity, respectively. Alkaline pH and high temperature favoured the production of antibacterial peptide by B. licheniformis AnBa9. Under optimized condition, B. licheniformis AnBa9 produced 25-fold higher production of antibacterial peptide than the un-optimized condition. Biochemical characteristics of the antibacterial peptides of B. licheniformis AnBa9 revealed that they are of bacteriocin type.

Nanoliter high-throughput PCR for DNA and RNA profiling

The increasing emphasis in life science research on utilization of genetic and genomic information underlies the need for high-throughput technologies capable of analyzing the expression of multiple genes or the presence of informative single nucleotide polymorphisms (SNPs) in large-scale, population-based applications. Human disease research, disease diagnosis, personalized therapeutics, environmental monitoring, blood testing, and identification of genetic traits impacting agricultural practices, both in terms of food quality and production efficiency, are a few areas where such systems are in demand. This has stimulated the need for PCR technologies that preserves the intrinsic analytical benefits of PCR yet enables higher throughputs without increasing the time to answer, labor and reagent expenses and workflow complexity. An example of such a system based on a high-density array of nanoliter PCR assays is described here. Functionally equivalent to a microtiter plate, the nanoplate system makes possible up to 3,072 simultaneous end-point or real-time PCR measurements in a device, the size of a standard microscope slide. Methods for SNP genotyping with end-point TaqMan PCR assays and quantitative measurement of gene expression with SYBR Green I real-time PCR are outlined and illustrative data showing system performance is provided.

Assignment of Streptococcus agalactiae isolates to clonal complexes using a small set of single nucleotide polymorphisms

BACKGROUND

Streptococcus agalactiae (Group B Streptococcus (GBS)) is an important human pathogen, particularly of newborns. Emerging evidence for a relationship between genotype and virulence has accentuated the need for efficient and well-defined typing methods. The objective of this study was to develop a single nucleotide polymorphism (SNP) based method for assigning GBS isolates to multilocus sequence typing (MLST)-defined clonal complexes.

RESULTS

It was found that a SNP set derived from the MLST database on the basis of maximization of Simpsons Index of Diversity provided poor resolution and did not define groups concordant with the population structure as defined by eBURST analysis of the MLST database. This was interpreted as being a consequence of low diversity and high frequency horizontal gene transfer. Accordingly, a different approach to SNP identification was developed. This entailed use of the "Not-N" bioinformatic algorithm that identifies SNPs diagnostic for groups of known sequence variants, together with an empirical process of SNP testing. This yielded a four member SNP set that divides GBS into 10 groups that are concordant with the population structure. A fifth SNP was identified that increased the sensitivity for the clinically significant clonal complex 17 to 100%. Kinetic PCR methods for the interrogation of these SNPs were developed, and used to genotype 116 well characterized isolates.

CONCLUSION

A five SNP method for dividing GBS into biologically valid groups has been developed. These SNPs are ideal for high throughput surveillance activities, and combining with more rapidly evolving loci when additional resolution is required.

Molecular typing of nasal carriage isolates of Staphylococcus aureus from an Irish university student population based on toxin gene PCR, agr locus types and multiple locus, variable number tandem repeat analysis

Forty-eight Staphylococcus aureus isolates collected from a young, healthy, Irish university student population from 1995 to 2004 were screened for 16 enterotoxin (SE) and enterotoxin-like (SEl) genes (sea-see, seg-sei, selj-selo, selq, selu), and for the toxic shock toxin syndrome toxin-1 gene, tst. All of the isolates harboured at least one SE or SEl gene and 66.7 % possessed a classical SE gene (sea, seb, sec), the commonest being the seb gene. Most of the isolates (85.4 %) had a complete egc locus (selo, selm, sei, seln, seg). The intergenic sei-seln region of the egc locus was typed by PCR-RFLP in 34 isolates, 15 possessing pseudogenes psient1 and psient2 and 19 having the selu gene. The seh and sell genes, the selk-selq gene combination, and the tst gene were each found in <15 % of isolates. The agr genotype distribution was agr type III, 37.5 %; agr type I, 35.4 %; agr type II, 25 %; and agr type IV, 2.1 %. There was no association between SE-SEl genotype and agr type. All tst gene-positive isolates were of agr type III and harboured a classical SE gene. Multiple locus, variable number tandem repeat analysis (MLVA) produced 47 different patterns. While the sdr locus was present in all isolates, half of them lacked one or two of the sdr gene amplimers. Twenty isolates harboured the bbp gene, its presence being associated with agr type III, but not with the SE-SEl gene profile. The agr types of isolates were associated with MLVA subclusters. Selective MLST analysis revealed seven novel sequence types and a new aroE allele. Five clonal clusters (CCs), including CCs comprising major pandemic clones CC30, CC5 and CC22 and minor lineages CC6 and CC9, and three singletons were identified.

High-Resolution Melting Analysis of the spa Repeat Region of Staphylococcus aureus

Background: The staphylococcal protein A (spa) locus of Staphylococcus aureus contains a complex repeat structure and is commonly used for single-locus sequence-based genotyping. The real-time PCR platform supports genotyping methods that are single step and closed tube and potentially can be carried out simultaneously with diagnosis. We describe here a method for genotyping S. aureus using high-resolution melting (HRM) analysis of the spa polymorphic region X.

Methods: The conventional PCR spa assay was modified and optimized for the Rotor-Gene 6000 instrument (Corbett Life Science). HRM analysis on the Corbett Rotor-Gene 6000 instrument was used to test 22 known spa sequences obtained from 44 diverse methicillin-resistant S. aureus (MRSA) isolates. Criteria for calling pairs of melting curves “same” or “different” were developed empirically by converting the data to difference graph format with one curve defined as the control. HRM curve comparison between runs was done to determine the portability of the method. The assay performance was assessed by genotyping uncharacterized isolates, carrying out blind trials, and comparing HRM profiles from different runs.

Results: HRM analysis of 44 diverse MRSA isolates generated 20 profiles from 22 spa sequence types. The 2 unresolved HRM spa types differed by only 1 bp. Two blind trials demonstrated complete reproducibility with respect to calling the different spa types. Interrun comparisons of HRM curves were successfully developed, indicating the robustness of the method.

Conclusion: Analysis of the spa locus by HRM resolves spa sequence variants. This single- and closed-tube single-step method for S. aureus genotyping can be easily combined with the interrogation of other genetic markers.

Development and validation of microarray-based assay for epidemiological study of MRSA

We have developed a microarray-based assay for the genotyping of Staphylococcus aureus strains. A DNA microarray consisting of 221 genes with 390 oligonucleotide probes was designed to identify characteristic genes or gene alleles of S. aureus. The 221 genes were chosen on the basis of the following criteria: (i) genes used as control for the microarray system, (ii) virulence genes, (iii) resistance genes and their regulators, and (iv) genes constituting genomic islands, e.g., SCCmec. The microarray system was established by determining the method to prepare targets by random-primer labeling with chromosomal DNA and the conditions for hybridization. We verified the system by using DNAs of seven strains, the genome of which has been fully sequenced. Furthermore, the presence of 32 genes and the types of SCCmec elements and coagulase genes carried by another 27 strains were examined and compared with the results of PCR. As a result, the presence or absence of 182 genes out of the 221 genes was verified. Our data showed the usefulness of the oligonucleotide microarray based assay in identifying important marker sets, such as toxin genes, resistance genes, SCCmec elements, and coagulase genes, for the molecular epidemiology of S. aureus.

Applicability of phylogenetic methods for characterizing the public health significance of verocytotoxin-producing Escherichia coli strains

Two phylogenetic methods (multilocus sequence typing [MLST] and a multiplex PCR) were investigated to determine whether phylogenetic classification of verocytotoxin-producing Escherichia coli serotypes correlates with their classification into groups (seropathotypes A to E) based on their relative incidence in human disease and on their association with outbreaks and serious complications. MLST was able to separate 96% of seropathotype D and E serotypes from those that cause serious disease (seropathotypes A to C), whereas the multiplex PCR lacked this level of seropathotype discrimination.

Comparison of single- and multilocus sequence typing and toxin gene profiling for characterization of methicillin-resistant Staphylococcus aureus

We compared three novel methicillin-resistant Staphylococcus aureus (MRSA) genotyping methods with multilocus sequence typing (MLST) and spa typing to assess their utility for routine strain typing. The new methods were femA and nuc sequence typing and toxin gene profiling (TGP), using a multiplex-PCR-based reverse line blot assay to detect 13 pyrogenic superantigen and exfoliative toxin genes. Forty-two well-characterized MRSA strains, representing 15 MLSTs or 9 clonal clusters (CCs), were genotyped by all methods. Twenty-two spa, nine femA, and seven nuc sequence types were identified. The femA sequence types correlated exactly with CCs; nuc sequences types were less discriminatory but generally correlated well with femA types and CCs. Ten isolates contained none of 13 toxin genes; TGPs of the remainder comprised 1 to 5 toxin genes. The combination of spa typing and TGPs identified 26 genotypes among the 42 strains studied. A combination of two or three rapid, inexpensive genotyping methods could potentially provide rapid MRSA strain typing as well as useful information about clonal origin and virulence.

Computer-aided identification of polymorphism sets diagnostic for groups of bacterial and viral genetic variants

BACKGROUND

Single nucleotide polymorphisms (SNPs) and genes that exhibit presence/absence variation have provided informative marker sets for bacterial and viral genotyping. Identification of marker sets optimised for these purposes has been based on maximal generalized discriminatory power as measured by Simpson's Index of Diversity, or on the ability to identify specific variants. Here we describe the Not-N algorithm, which is designed to identify small sets of genetic markers diagnostic for user-specified subsets of known genetic variants. The algorithm does not treat the user-specified subset and the remaining genetic variants equally. Rather Not-N analysis is designed to underpin assays that provide 0% false negatives, which is very important for e.g. diagnostic procedures for clinically significant subgroups within microbial species.

RESULTS

The Not-N algorithm has been incorporated into the "Minimum SNPs" computer program and used to derive genetic markers diagnostic for multilocus sequence typing-defined clonal complexes, hepatitis C virus (HCV) subtypes, and phylogenetic clades defined by comparative genome hybridization (CGH) data for Campylobacter jejuni, Yersinia enterocolitica and Clostridium difficile.

CONCLUSION

Not-N analysis is effective for identifying small sets of genetic markers diagnostic for microbial sub-groups. The best results to date have been obtained with CGH data from several bacterial species, and HCV sequence data.

Advances in nucleic acid-based diagnostics of bacterial infections

Methods for rapid detection of infectious bacteria and antimicrobial-resistant pathogens have evolved significantly over the last decade. Many of the new procedures are nucleic acid-based and replace conventional diagnostic methods like culturing which is time consuming especially with fastidious and slow growing microorganisms. The widespread use of antibiotics has resulted in an increased number of cases with resistant microorganisms such as methicillin-resistant Staphylococcus aureus, vancomycin resistant enterococci, and multidrug-resistant Mycobacterium tuberculosis. Rapid detection of these pathogens is important to isolate patients and prevent further spreading of the diseases. Newly developed diagnostic procedures are superior with respect to turnaround time, sensitivity and specificity. Methods like multiplex real time PCR and different array-based technologies offer the possibility of multiparameter assays where several pathogens and antibiotic resistance genes can be detected simultaneously.

Global genetic population structure of Bacillus anthracis

Anthrax, caused by the bacterium Bacillus anthracis, is a disease of historical and current importance that is found throughout the world. The basis of its historical transmission is anecdotal and its true global population structure has remained largely cryptic. Seven diverse B. anthracis strains were whole-genome sequenced to identify rare single nucleotide polymorphisms (SNPs), followed by phylogenetic reconstruction of these characters onto an evolutionary model. This analysis identified SNPs that define the major clonal lineages within the species. These SNPs, in concert with 15 variable number tandem repeat (VNTR) markers, were used to subtype a collection of 1,033 B. anthracis isolates from 42 countries to create an extensive genotype data set. These analyses subdivided the isolates into three previously recognized major lineages (A, B, and C), with further subdivision into 12 clonal sub-lineages or sub-groups and, finally, 221 unique MLVA15 genotypes. This rare genomic variation was used to document the evolutionary progression of B. anthracis and to establish global patterns of diversity. Isolates in the A lineage are widely dispersed globally, whereas the B and C lineages occur on more restricted spatial scales. Molecular clock models based upon genome-wide synonymous substitutions indicate there was a massive radiation of the A lineage that occurred in the mid-Holocene (3,064-6,127 ybp). On more recent temporal scales, the global population structure of B. anthracis reflects colonial-era importation of specific genotypes from the Old World into the New World, as well as the repeated industrial importation of diverse genotypes into developed countries via spore-contaminated animal products. These findings indicate humans have played an important role in the evolution of anthrax by increasing the proliferation and dispersal of this now global disease. Finally, the value of global genotypic analysis for investigating bioterrorist-mediated outbreaks of anthrax is demonstrated.

Systematic derivation of marker sets for staphylococcal cassette chromosome mec typing

The aim of this study was to identify optimized sets of genotyping targets for the staphylococcal cassette chromosome mec (SCCmec). We analyzed the gene contents of 46 SCCmec variants in order to identify minimal subsets of targets that provide useful resolution. This was achieved by firstly identifying and characterizing each available SCCmec element based on the presence or absence of 34 binary targets. This information was used as input for the software "Minimum SNPs," which identifies the minimum number of targets required to differentiate a set of genotypes up to a predefined Simpson's index of diversity (D) value. It was determined that 22 of the 34 targets were required to genotype the 46 SCCmec variants to a D of 1. The first 6, 9, 12, and 15 targets were found to define 21, 29, 35, and 39 SCCmec variants, respectively. The genotypes defined by these marker subsets were largely consistent with the relationships between SCCmec variants and the accepted nomenclature. Consistency was made virtually complete by forcing the computer program to include ccr1 and ccr5 in the target set. An alternative target set biased towards discriminating abundant SCCmec variants was derived by analyzing an input file in which common SCCmec variants were repeated, thus ensuring that markers that discriminate abundant variants had a large effect on D. Finally, it was determined that mecA single nucleotide polymorphisms (SNPs) can increase the overall genotyping resolution, as different mecA alleles were found in otherwise identical SCCmec variants.

High-resolution DNA melt curve analysis of the clustered, regularly interspaced short-palindromic-repeat locus of Campylobacter jejuni

A novel method for genotyping the clustered, regularly interspaced short-palindromic-repeat (CRISPR) locus of Campylobacter jejuni is described. Following real-time PCR, CRISPR products were subjected to high-resolution melt (HRM) analysis, a new technology that allows precise melt profile determination of amplicons. This investigation shows that the CRISPR HRM assay provides a powerful addition to existing C. jejuni genotyping methods and emphasizes the potential of HRM for genotyping short sequence repeats in other species.

Fingerprinting of Campylobacter jejuni by using resolution-optimized binary gene targets derived from comparative genome hybridization studies

The aim of this investigation was to exploit the vast comparative data generated by comparative genome hybridization (CGH) studies of Campylobacter jejuni in developing a genotyping method. We examined genes in C. jejuni that exhibit binary status (present or absent between strains) within known plasticity regions, in order to identify a minimal subset of gene targets that provide high-resolution genetic fingerprints. Using CGH data from three studies as input, binary gene sets were identified with "Minimum SNPs" software. "Minimum SNPs" selects for the minimum number of targets required to obtain a predefined resolution, based on Simpson's index of diversity (D). After implementation of stringent criteria for gene presence/absence, eight binary genes were found that provided 100% resolution (D=1) of 20 C. jejuni strains. A real-time PCR assay was developed and tested on 181 C. jejuni and Campylobacter coli isolates, a subset of which have previously been characterized by multilocus sequence typing, flaA short variable region sequencing, and pulsed-field gel electrophoresis. In addition to the binary gene real-time PCR assay, we refined the seven-member single nucleotide polymorphism (SNP) real-time PCR assay previously described for C. jejuni and C. coli. By normalizing the SNP assay with the respective C. jejuni and C. coli ubiquitous genes, mapA and ceuE, the polymorphisms at each SNP could be determined without separate reactions for every polymorphism. We have developed and refined a rapid, highly discriminatory genotyping method for C. jejuni and C. coli that uses generic technology and is amenable to high-throughput analyses.

Use of a single-nucleotide polymorphism genotyping system to demonstrate the unique epidemiology of methicillin-resistant Staphylococcus aureus in remote aboriginal communities

Community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) has emerged as a major public health problem in Australia, as in many other parts of the world. High rates of CA-MRSA skin and soft tissue infection have been reported from Aboriginal communities. We used a single-nucleotide polymorphism (SNP) genotyping typing system based on the multilocus sequence type (MLST) database to investigate the epidemiology of CA-MRSA and methicillin-sensitive S. aureus (MSSA) over a 12-month period in three remote Aboriginal communities of Northern Australia. This was supplemented by real-time PCR for Panton-Valentine leukocidin (PVL) genes, staphylococcal cassette chromosome mec (SCCmec) typing, and antimicrobial susceptibility testing. S. aureus was recovered from pyoderma lesions on 221 occasions and throat swabs on 44 occasions. The median monthly recovery rate of S. aureus from skin sores was 58% (interquartile range, 62 to 78%), and there was no seasonal variation. Twenty-three percent of isolates were CA-MRSA; the proportion was similar across the communities and did not vary over the study period. Erythromycin resistance was found in 47% of CA-MRSA and 21% of MSSA. SNP-based typing identified 14 different clonal complexes (cc); however, cc75 was predominant, accounting for 71% of CA-MRSA isolates. These were confirmed as ST75-like by using an additional SNP and MLST of selected isolates. All but one of the cc75 isolates had SSCmec type IV (one had type V), and all were PVL negative. Monthly tracking of SNP-based cc types showed a highly dynamic process. ST75-MRSA-IV appears to be unique to the region and probably evolved de novo in remote Aboriginal communities.

Staphylococcus aureus genotyping using novel real-time PCR formats

One approach to microbial genotyping is to make use of sets of single-nucleotide polymorphisms (SNPs) in combination with binary markers. Here we report the modification and automation of a SNP-plus-binary-marker-based approach to the genotyping of Staphylococcus aureus and its application to 391 S. aureus isolates from southeast Queensland, Australia. The SNPs used were arcC210, tpi243, arcC162, gmk318, pta294, tpi36, tpi241, and pta383. These provide a Simpson's index of diversity (D) of 0.95 with respect to the S. aureus multilocus sequence typing database and define 61 genotypes and the major clonal complexes. The binary markers used were pvl, cna, sdrE, pT181, and pUB110. Two novel real-time PCR formats for interrogating these markers were compared. One of these makes use of "light upon extension" (LUX) primers and biplexed reactions, while the other is a streamlined modification of kinetic PCR using SYBR green. The latter format proved to be more robust. In addition, automated methods for DNA template preparation, reaction setup, and data analysis were developed. A single SNP-based method for ST-93 (Queensland clone) identification was also devised. The genotyping revealed the numerical importance of the "South West Pacific" and "Queensland" community-acquired methicillin-resistant S. aureus (MRSA) clones and the clonal complex 239 "Aus-1/Aus-2" hospital-associated MRSA. There was a strong association between the community-acquired clones and pvl.

Specific detection of Campylobacter jejuni from faeces using single nucleotide polymorphisms

Specimens of human faeces were tested by a rapid strategy for detection of Campylobacter jejuni lineages by the presence of specific single nucleotide polymorphisms (SNPs) based on the C. jejuni multi locus sequence typing (MLST) scheme. This strategy was derived from analysis of the MLST databases to identify clonal complex specific SNPs followed by the design of real-time PCR assays to enable identification of six major C. jejuni clonal complexes associated with cases of human infection. The objective was to use the MLST SNP-based assays for the direct detection of C. jejuni by clonal complex from specimens of human faeces, and then confirm the accuracy of the clonal complex designation from the SNP-based assays by performing MLST on the cultured faecal material, this targeted at determining the validity of direct molecular specimen identification. Results showed it was possible to identify 38% of the isolates to one of the six major MLST clonal complexes using a rapid DNA extraction method directly from faeces in under 3 h. This method provides a novel strategy for the use of real-time PCR for detection and characterization beyond species level, supplying real-time epidemiological data, which is comparable with MLST results.

Double-locus sequence typing using clfB and spa, a fast and simple method for epidemiological typing of methicillin-resistant Staphylococcus aureus

Sequence-based epidemiological typing of methicillin-resistant Staphylococcus aureus (MRSA) has recently been promoted because it results in unambiguous data sets that can be organized in local and global databases. The replacement of previous typing methods, such as the highly discriminatory pulsed-field gel electrophoresis (PFGE), has been attempted with various markers and typing schemes, including spa typing and multilocus sequence typing. However, despite a number of advantages, none of these methods showed convincing evidence for performance in epidemiological typing comparable to that of PFGE. By using three sets of 48 MRSA strains comprising isolates that were (i) genetically highly diverse, (ii) genetically related, and (iii) obtained from long-term carriers, we analyzed the performance of the four highly polymorphic S. aureus markers: clfA, clfB, fnbA, and spa. Typeability, discriminatory power, in vivo stability, and evolution of these markers were compared to those of PFGE. Clearly, none of the markers alone could match the discriminatory power of PFGE (63 genotypes; index of discrimination of 0.96). Instead, this could be achieved by combining markers in pairs. We showed that by using only 3' partial sequences of approximately 500 bp, the majority of each marker's discriminatory power was displayed, and using the partial sequences, the best performance was obtained with the combination of clfB and spa (57 genotypes; index of discrimination of 0.94). Genetic changes were not observed for any of the sequence markers over a period of 3 years and in the case of partial sequences for a period of more than 4 years. This is in contrast to PFGE where changes occurred after several months. The genetic differences found between isolate pairs of long-term carriers and among highly related isolates indicated clonal evolution. A typing scheme based on 500-bp 3' partial sequences of clfB and spa is proposed.

Strain-specific single-nucleotide polymorphism assays for the Bacillus anthracis Ames strain

Highly precise diagnostics and forensic assays can be developed through a combination of evolutionary analysis and the exhaustive examination of genomic sequences. In Bacillus anthracis, whole-genome sequencing efforts revealed ca. 3,500 single-nucleotide polymorphisms (SNPs) among eight different strains and evolutionary analysis provides the identification of canonical SNPs. We have previously shown that SNPs are highly evolutionarily stable, and the clonal nature of B. anthracis makes them ideal signatures for subtyping this pathogen. Here we identified SNPs that define the lineage of B. anthracis that contains the Ames strain, the strain used in the 2001 bioterrorist attacks in the United States. Sequencing and real-time PCR were used to validate these SNPs across B. anthracis strains, including (i) 88 globally and genetically diverse isolates; (ii) isolates that were shown to be genetic relatives of the Ames strain by multiple-locus variable number tandem repeat analysis (MLVA); and (iii) several different lab stocks of the Ames strain, including a clinical isolate from the 2001 letter attack. Six SNPs were found to be highly specific for the Ames strain; four on the chromosome, one on the pX01 plasmid, and one on the pX02 plasmid. All six SNPs differentiated the B. anthracis Ames strain from the 88 unique B. anthracis strains, while five of the six separated Ames from its close genetic relatives. The use of these SNPs coupled with real-time PCR allows specific and sensitive (<100 fg of template DNA) identification of the Ames strain. This evolutionary and genomics-based approach provides an effective means for the discovery of strain-specific SNPs in B. anthracis.

Genotyping of Campylobacter jejuni using seven single-nucleotide polymorphisms in combination with flaA short variable region sequencing

This investigation describes the development of a generally applicable, bioinformatics-driven, single-nucleotide polymorphism (SNP) genotyping assay for the common bacterial gastrointestinal pathogen Campylobacter jejuni. SNPs were identified in silico using the program 'Minimum SNPs', which selects for polymorphisms providing the greatest resolution of bacterial populations based on Simpson's index of diversity (D). The high-D SNPs identified in this study were derived from the combined C. jejuni/Campylobacter coli multilocus sequence typing (MLST) database. Seven SNPs were found that provided a D of 0.98 compared with full MLST characterization, based on 959 sequence types (STs). The seven high-D SNPs were interrogated using allele-specific real-time PCR (AS kinetic PCR), which negates the need for expensive labelled primers or probes and requires minimal assay optimization. The total turnaround time of the SNP typing assay was approximately 2 h. Concurrently, 69 C. jejuni isolates were subjected to MLST and flagellin A short variable region (flaA SVR) sequencing and combined with a population of 84 C. jejuni and C. coli isolates previously characterized by these methods. Within this collection of 153 isolates, 19 flaA SVR types (D=0.857) were identified, compared with 40 different STs (D=0.939). When MLST and flaA SVR sequencing were used in combination, the discriminatory power was increased to 0.959. In comparison, SNP typing of the 153 isolates alone provided a D of 0.920 and was unable to resolve a small number of unrelated isolates. However, addition of the flaA SVR locus to the SNP typing procedure increased the resolving power to 0.952 and clustered isolates similarly to MLST/flaA SVR. This investigation has shown that a seven-member C. jejuni SNP typing assay, used in combination with sequencing of the flaA SVR, efficiently discriminates C. jejuni isolates.