Improved traceability of Shiga-toxin-producing Escherichia coli using CRISPRs for detection and typing

The CRISPR-Cas system in Enterobacteriaceae

In nature, microorganisms are constantly exposed to multiple viral infections and thus have developed many strategies to survive phage attack and invasion by foreign DNA. One of such strategies is the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) bacterial immunological system. This defense mechanism is widespread in prokaryotes including several families such as Enterobacteriaceae. Much knowledge about the CRISPR-Cas system has been generated, including its biological functions, transcriptional regulation, distribution, utility as a molecular marker and as a tool for specific genome editing. This review focuses on these aspects and describes the state of the art of the CRISPR-Cas system in the Enterobacteriaceae bacterial family.

CRISPR Visualizer: rapid identification and visualization of CRISPR loci via an automated high-throughput processing pipeline

A CRISPR locus, defined by an array of repeat and spacer elements, constitutes a genetic record of the ceaseless battle between bacteria and viruses, showcasing the genomic integration of spacers acquired from invasive DNA. In particular, iterative spacer acquisitions represent unique evolutionary histories and are often useful for high-resolution bacterial genotyping, including comparative analysis of closely related organisms, clonal lineages, and clinical isolates. Current spacer visualization methods are typically tedious and can require manual data manipulation and curation, including spacer extraction at each CRISPR locus from genomes of interest. Here, we constructed a high-throughput extraction pipeline coupled with a local web-based visualization tool which enables CRISPR spacer and repeat extraction, rapid visualization, graphical comparison, and progressive multiple sequence alignment. We present the bioinformatic pipeline and investigate the loci of reference CRISPR-Cas systems and model organisms in 4 well-characterized subtypes. We illustrate how this analysis uncovers the evolutionary tracks and homology shared between various organisms through visual comparison of CRISPR spacers and repeats, driven through progressive alignments. Due to the ability to process unannotated genome files with minimal preparation and curation, this pipeline can be implemented promptly. Overall, this efficient high-throughput solution supports accelerated analysis of genomic data sets and enables and expedites genotyping efforts based on CRISPR loci.

Validation and Application of a Real-Time PCR Assay Based on the CRISPR Array for Serotype-Specific Detection and Quantification of Enterohemorrhagic Escherichia coli O157:H7 in Cattle Feces†

Several real-time quantitative PCR (qPCR) assays have been developed for detection and quantification of Escherichia coli O157:H7 in complex matrices by targeting genes for serogroup-specific O-antigen ( rfbE_O157), H7 antigen, and one or more major virulence factors (Shiga toxin and intimin). A major limitation of such assays is that coamplification of H7 and virulence genes in a sample does not signal association of those genes with the O157 serogroup. Clusters of regularly interspaced short palindromic repeats (CRISPR) polymorphisms are highly correlated with certain enterohemorrhagic E. coli (EHEC) serotypes, including O157:H7, and the presence of genes for Shiga toxin ( stx₁ and stx₂) and intimin ( eae). Our objectives were to develop and validate a qPCR assay targeting the CRISPR array for the detection and quantification of EHEC O157:H7 in cattle feces and to evaluate the applicability of the assay for detection of and comparison with a four-plex qPCR assay targeting rfbE_O157, stx₁, stx₂, and eae genes and a culture method. Detection limits of the CRISPR_O157:H7 qPCR assay for cattle feces spiked with pure cultures were 2.1 × 10³ and 2.3 × 10⁰ CFU/g before and after enrichment, respectively. Detection of E. coli O157 in feedlot cattle fecal samples ( n = 576) was compared among the CRISPR_O157:H7 qPCR assay, culture method, and four-plex qPCR assay. The CRISPR_O157:H7 qPCR detected 42.2% of the samples (243 of 576 samples) as positive for E. coli O157:H7, compared with 30.4% (175 samples) by the culture method. Nearly all samples (97.2%; 560 samples) were positive for rfbE_O157 by the four-plex PCR, but 21.8% (122 of 560 samples) were negative for the stx and/or eae genes, making it unlikely that EHEC O157:H7 was present in these samples. Cohen's kappa statistic indicated a fair and poor agreement beyond that due to chance between the CRISPR assay and the culture method and four-plex assay, respectively. This novel qPCR assay can detect the EHEC O157:H7 serotype in cattle feces by targeting CRISPR polymorphisms.

Identification of Novel Biomarkers for Priority Serotypes of Shiga Toxin-Producing Escherichia coli and the Development of Multiplex PCR for Their Detection

It would be desirable to have an unambiguous scheme for the typing of Shiga toxin-producing Escherichia coli (STEC) isolates to subpopulations. Such a scheme should take the high genomic plasticity of E. coli into account and utilize the stratification of STEC into subgroups, based on serotype or phylogeny. Therefore, our goal was to identify specific marker combinations for improved classification of STEC subtypes. We developed and evaluated two bioinformatic pipelines for genomic marker identification from larger sets of bacterial genome sequences. Pipeline A performed all-against-all BLASTp analyses of gene products predicted in STEC genome test sets against a set of control genomes. Pipeline B identified STEC marker genes by comparing the STEC core proteome and the "pan proteome" of a non-STEC control group. Both pipelines defined an overlapping, but not identical set of discriminative markers for different STEC subgroups. Differential marker prediction resulted from differences in genome assembly, ORF finding and inclusion cut-offs in both workflows. Based on the output of the pipelines, we defined new specific markers for STEC serogroups and phylogenetic groups frequently associated with outbreaks and cases of foodborne illnesses. These included STEC serogroups O157, O26, O45, O103, O111, O121, and O145, Shiga toxin-positive enteroaggregative E. coli O104:H4, and HUS-associated sequence type (ST)306. We evaluated these STEC marker genes for their presence in whole genome sequence data sets. Based on the identified discriminative markers, we developed a multiplex PCR (mPCR) approach for detection and typing of the targeted STEC. The specificity of the mPCR primer pairs was verified using well-defined clinical STEC isolates as well as isolates from the ECOR, DEC, and HUSEC collections. The application of the STEC mPCR for food analysis was tested with inoculated milk. In summary, we evaluated two different strategies to screen large genome sequence data sets for discriminative markers and implemented novel marker genes found in this genome-wide approach into a DNA-based typing tool for STEC that can be used for the characterization of STEC from clinical and food samples.

Electrochemical immunosensors - A powerful tool for analytical applications

Immunosensors are biosensors based on interactions between an antibody and antigen on a transducer surface. Either antibody or antigen can be the species immobilized on the transducer to detect antigen or antibody, respectively. Because of the strong binding forces between these biomolecules, immunosensors present high selectivity and very high sensitivity, making them very attractive for many applications in different science fields. Electrochemical immunosensors explore measurements of an electrical signal produced on an electrochemical transductor. This signal can be voltammetric, potentiometric, conductometric or impedimetric. Immunosensors utilizing electrochemical detection have been explored in several analyses since they are specific, simple, portable, and generally disposable and can carry out in situ or automated detection. This review addresses the potential of immunosensors destined for application in food and environmental analysis, and cancer biomarker diagnosis. Emphasis is given to the approaches that have been used for construction of electrochemical immunosensors. Additionally, the fundamentals of immunosensors, technology of transducers and nanomaterials and a general overview of the possible applications of electrochemical immunosensors to the food, environmental and diseases analysis fields are described.

Advances in Molecular Serotyping and Subtyping of Escherichia coli

Escherichia coli plays an important role as a member of the gut microbiota; however, pathogenic strains also exist, including various diarrheagenic E. coli pathotypes and extraintestinal pathogenic E. coli that cause illness outside of the GI-tract. E. coli have traditionally been serotyped using antisera against the ca. 186 O-antigens and 53 H-flagellar antigens. Phenotypic methods, including bacteriophage typing and O- and H- serotyping for differentiating and characterizing E. coli have been used for many years; however, these methods are generally time consuming and not always accurate. Advances in next generation sequencing technologies have made it possible to develop genetic-based subtyping and molecular serotyping methods for E. coli, which are more discriminatory compared to phenotypic typing methods. Furthermore, whole genome sequencing (WGS) of E. coli is replacing established subtyping methods such as pulsed-field gel electrophoresis, providing a major advancement in the ability to investigate food-borne disease outbreaks and for trace-back to sources. A variety of sequence analysis tools and bioinformatic pipelines are being developed to analyze the vast amount of data generated by WGS and to obtain specific information such as O- and H-group determination and the presence of virulence genes and other genetic markers.