Rapid detection and serovar identification of common Salmonella enterica serovars in Canada using a new pyrosequencing assay.

Serotyping of Salmonella enterica subsp. enterica is a critical step for foodborne salmonellosis investigation. To identify Salmonella enterica subsp. enterica serovars, we have developed a new assay based on a triplex polymerase chain reaction (PCR) with pyrosequencing for amplicon confirmation and phylogenetic discrimination of strains. The top 54 most prevalent serovars of S. enterica in Canada were examined with a total of 23 single-nucleotide polymorphisms (SNPs) and (or) single-nucleotide variations (SNVs) located on 3 genes (fliD, sopE2, and spaO). Seven of the most common serovars, Newport, Typhi, Javiana, Infantis, Thompson, Heidelberg, and Enteritidis, were successfully distinguished from the other serovars based on their unique SNP-SNV combinations. The remaining serovars, including Typhimurium, ssp I:4,[5],12:i:-, and Saintpaul, were further divided into 47 subgroups that demonstrate the relatedness to phylogenetic classifications of each serovar. This pyrosequencing assay is not only cost-effective, rapid, and user-friendly, but also provides phylogenetic information by analyzing 23 selected SNPs. With the added layer of confidence in the PCR results and the accuracy and speed of pyrosequencing, this novel method would benefit the food industry and provides a tool for rapid outbreak investigation through quick detection and identification of common S. enterica serovars in Canada.

Seasonal diversity of planktonic protists in Southwestern Alberta rivers over a 1-year period as revealed by terminal restriction fragment length polymorphism and 18S rRNA gene library analyses.

The temporal dynamics of planktonic protists in river water have received limited attention despite their ecological significance and recent studies linking phagotrophic protists to the persistence of human-pathogenic bacteria. Using molecular-based techniques targeting the 18S rRNA gene, we studied the seasonal diversity of planktonic protists in Southwestern Alberta rivers (Oldman River Basin) over a 1-year period. Nonmetric multidimensional scaling analysis of terminal restriction fragment length polymorphism (T-RFLP) data revealed distinct shifts in protistan community profiles that corresponded to season rather than geographical location. Community structures were examined by using clone library analysis; HaeIII restriction profiles of 18S rRNA gene amplicons were used to remove prevalent solanaceous plant clones prior to sequencing. Sanger sequencing of the V1-to-V3 region of the 18S rRNA gene libraries from spring, summer, fall, and winter supported the T-RFLP results and showed marked seasonal differences in the protistan community structure. The spring library was dominated by Chloroplastidae (29.8%), Centrohelida (28.1%), and Alveolata (25.5%), while the summer and fall libraries contained primarily fungal clones (83.0% and 88.0%, respectively). Alveolata (35.6%), Euglenozoa (24.4%), Chloroplastida (15.6%), and Fungi (15.6%) dominated the winter library. These data demonstrate that planktonic protists, including protozoa, are abundant in river water in Southwestern Alberta and that conspicuous seasonal shifts occur in the community structure.

Molecular methods to measure intestinal bacteria: a review.

The intestine is an exceptionally rich ecosystem encompassing a complex interaction among microorganisms, influenced by host factors, ingested food, and liquid. Characterizing the intestinal microbiota is currently an active area of research. Various molecular-based methods are available to characterize the intestinal microbiota, but all methods possess relative strengths, as well as salient weaknesses. It is important that researchers are cognizant of the limitations of these methods, and that they take the appropriate steps to mitigate weaknesses. Here, we discuss methodologies used to monitor intestinal bacteria including: (i) traditional clone libraries; (ii) direct sequencing using next-generation parallel sequencing technology; (iii) denaturing gradient gel electrophoresis and temperature gradient gel electrophoresis; (iv) terminal restriction fragment length polymorphism analysis; (v) fluorescent in situ hybridization; and (vi) quantitative PCR. In addition, we also discuss experimental design, sample collection and storage, DNA extraction, gene targets, PCR bias, and methods to reduce PCR bias.

Challenges and Lessons Learned in the Regional Implementation of MISSION-CJ in Drug Treatment Courts.

This column discusses lessons learned during a regional implementation of the evidence-based MISSION-CJ (Maintaining Independence and Sobriety through Systems Integration, Outreach, and Networking-Criminal Justice) case management program across multiple drug treatment courts, including discussion of key components, implementation challenges encountered, and strategies that helped address these challenges. The authors' experiences may assist other programs in planning for similar implementations and suggest that programs can enhance success among drug court participants with the MISSION-CJ model but that the programs may need to be flexible with regard to implementation fidelity and to establishing and communicating their specific role within the court.

Systematic Evaluation of Whole Genome Sequence-Based Predictions of Salmonella Serotype and Antimicrobial Resistance.

Whole-genome sequencing (WGS) is used increasingly in public-health laboratories for typing and characterizing foodborne pathogens. To evaluate the performance of existing bioinformatic tools for in silico prediction of antimicrobial resistance (AMR) and serotypes of Salmonella enterica, WGS-based genotype predictions were compared with the results of traditional phenotyping assays. A total of 111 S. enterica isolates recovered from a Canadian baseline study on broiler chicken conducted in 2012-2013 were selected based on phenotypic resistance to 15 different antibiotics and isolates were subjected to WGS. Both SeqSero2 and SISTR accurately determined S. enterica serotypes, with full matches to laboratory results for 87.4 and 89.2% of isolates, respectively, and partial matches for the remaining isolates. Antimicrobial resistance genes (ARGs) were identified using several bioinformatics tools including the Comprehensive Antibiotic Resistance Database - Resistance Gene Identifier (CARD-RGI), Center for Genomic Epidemiology (CGE) ResFinder web tool, Short Read Sequence Typing for Bacterial Pathogens (SRST2 v 0.2.0), and k-mer alignment method (KMA v 1.17). All ARG identification tools had ≥ 99% accuracy for predicting resistance to all antibiotics tested except streptomycin (accuracy 94.6%). Evaluation of ARG detection in assembled versus raw-read WGS data found minimal observable differences that were gene- and coverage- dependent. Where initial phenotypic results indicated isolates were sensitive, yet ARGs were detected, repeat AMR testing corrected discrepancies. All tools failed to find resistance-determining genes for one gentamicin- and two streptomycin-resistant isolates. Further investigation found a single nucleotide polymorphism (SNP) in the nuoF coding region of one of the isolates which may be responsible for the observed streptomycin-resistant phenotype. Overall, WGS-based predictions of AMR and serotype were highly concordant with phenotype determination regardless of computational approach used.

First Complete Genome Sequence of Yersinia massiliensis.

Using a combination of Illumina paired-end sequencing, Pacific Biosciences RS II sequencing, and OpGen Argus whole-genome optical mapping, we report here the first complete genome sequence of Yersinia massiliensis The completed genome consists of a 4.99-Mb chromosome, a 121-kb megaplasmid, and a 57-kb plasmid.

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.

Fertilization Shapes Bacterial Community Structure by Alteration of Soil pH.

Application of chemical fertilizer or manure can affect soil microorganisms directly by supplying nutrients and indirectly by altering soil pH. However, it remains uncertain which effect mostly shapes microbial community structure. We determined soil bacterial diversity and community structure by 454 pyrosequencing the V1-V3 regions of 16S rRNA genes after 7-years (2007-2014) of applying chemical nitrogen, phosphorus and potassium (NPK) fertilizers, composted manure or their combination to acidic (pH 5.8), near-neutral (pH 6.8) or alkaline (pH 8.4) Eutric Regosol soil in a maize-vegetable rotation in southwest China. In alkaline soil, nutrient sources did not affect bacterial Operational Taxonomic Unit (OTU) richness or Shannon diversity index, despite higher available N, P, K, and soil organic carbon in fertilized than in unfertilized soil. In contrast, bacterial OTU richness and Shannon diversity index were significantly lower in acidic and near-neutral soils under NPK than under manure or their combination, which corresponded with changes in soil pH. Permutational multivariate analysis of variance showed that bacterial community structure was significantly affected across these three soils, but the PCoA ordination patterns indicated the effect was less distinct among nutrient sources in alkaline than in acidic and near-neural soils. Distance-based redundancy analysis showed that bacterial community structures were significantly altered by soil pH in acidic and near-neutral soils, but not by any soil chemical properties in alkaline soil. The relative abundance (%) of most bacterial phyla was higher in near-neutral than in acidic or alkaline soils. The most dominant phyla were Proteobacteria (24.6%), Actinobacteria (19.7%), Chloroflexi (15.3%) and Acidobacteria (12.6%); the medium dominant phyla were Bacterioidetes (5.3%), Planctomycetes (4.8%), Gemmatimonadetes (4.5%), Firmicutes (3.4%), Cyanobacteria (2.1%), Nitrospirae (1.8%), and candidate division TM7 (1.0%); the least abundant phyla were Verrucomicrobia (0.7%), Armatimonadetes (0.6%), candidate division WS3 (0.4%) and Fibrobacteres (0.3%). In addition, Cyanobacteria and candidate division TM7 were more abundant in acidic soil, whereas Gemmatimonadetes, Nitrospirae and candidate division WS3 were more abundant in alkaline soil. We conclude that after 7-years of fertilization, soil bacterial diversity and community structure were shaped more by changes in soil pH rather than the direct effect of nutrient addition.

Rapid detection method for Bacillus anthracis using a combination of multiplexed real-time PCR and pyrosequencing and its application for food biodefense.

Bacillus anthracis, the causative agent of anthrax, has the capacity to form highly resilient spores as part of its life cycle. The potential for the dissemination of these spores using food as a vehicle is a huge public health concern and, hence, requires the development of a foodborne bioterrorism response approach. In this work, we address a critical gap in food biodefense by presenting a novel, combined, sequential method involving the use of real-time PCR and pyrosequencing for the rapid, specific detection of B. anthracis spores in three food matrices: milk, apple juice, and bottled water. The food samples were experimentally inoculated with 40 CFU ml(-1), and DNA was extracted from the spores and analyzed after immunomagnetic separation. Applying the combination of multiplex real-time PCR and pyrosequencing, we successfully detected the presence of targets on both of the virulence plasmids and the chromosome. The results showed that DNA amplicons generated from a five-target multiplexed real-time PCR detection using biotin-labeled primers can be used for single-plex pyrosequencing detection. The combined use of multiplexed real-time PCR and pyrosequencing is a novel, rapid detection method for B. anthracis from food and provides a tool for accurate, quantitative identification with potential biodefense applications.

Single nucleotide repeat analysis of B. anthracis isolates in Canada through comparison of pyrosequencing and Sanger sequencing.

Several technology platforms have been developed to resolve the phylogenetic placement of B. anthracis. However, these methods lack the resolution to identify differences between closely related strains within an outbreak due to the highly clonal nature of B. anthracis. Single Nucleotide Repeats (SNRs) are a type of rapidly evolving genetic marker that can be used to track epidemiological distribution in the event of an outbreak. Four SNR targets were used to detect and type 35 B. anthracis isolates in our collection; 18 from across Canada obtained between 1972 and 2005 and 17 from the 2006 Anthrax outbreak in north eastern Saskatchewan. A control sequence was developed for pyrosequencing which yielded consistent and accurate reads of SNRs. However, when DNA from the isolates was tested using pyrosequencing the results were inconsistent and did not reflect the number of SNRs obtained by Sanger sequencing. The SNR numbers derived from the Sanger sequencing show two of the four SNR loci could provide information on subtype, whereas the other two were not discriminatory. There is variation in SNRs between strains isolated from different outbreaks, the subset of 2006 outbreak strains showed very little difference in SNR number, and thus suggests low diversity among the strains sampled from the same outbreak.

Effect of antimicrobial growth promoter administration on the intestinal microbiota of beef cattle.

BACKGROUND: Antimicrobial growth promoters (AGPs) are antimicrobial agents administered to livestock in feed for prolonged periods to enhance feed efficiency. Beef cattle are primarily finished in confined feeding operations in Canada and the USA, and the administration of AGPs such as chlortetracycline and sulfamethazine (Aureo S-700 G) is the standard. The impacts of AGPs on the intestinal microbiota of beef cattle are currently uncertain; it is documented that AGPs administered to beef cattle pass through the rumen and enter the intestine. To ascertain the impacts of Aureo S-700 G on the small and large intestinal microbiota of beef cattle (mucosa-associated and within digesta), terminal restriction fragment length polymorphism (T-RFLP) analysis and quantitative PCR (qPCR) for total bacteria were applied. Beef cattle were maintained in an experimental feedlot (five replicate pens per treatment), and AGP treatment cattle were administered Aureo S-700 G in feed, whereas control cattle were administered no antimicrobials. As the intestinal microbiota of beef cattle has not been extensively examined, clone library analysis was applied to ascertain the primary bacterial constituents of the intestinal microbiota. RESULTS: Comparative T-RFLP and qPCR analysis (n = 122 samples) revealed that bacterial community fingerprints and bacterial load within digesta differed from those associated with mucosa. However, the administration of Aureo S-700 G did not affect bacterial community fingerprints or bacterial load within the small and large intestine relative to control cattle. Analysis of >1500 near full length 16S rDNA clones revealed considerably greater bacterial diversity in the large relative to the small intestine of beef cattle. Mucosa-associated bacterial communities in the jejunum were dominated by Proteobacteria, and differed conspicuously from those in the ileum and large intestine. Although the ileum contained bacterial clones that were common to the jejunum as well as the cecum, Firmicutes clones associated with mucosa dominated in the ileum, cecum, and descending colon. In the descending colon, clone library analysis did not reveal a difference in the richness or diversity of bacterial communities within digesta relative to those associated with mucosa. However, T-RFLP analysis indicated a significant difference in T-RF relative abundance (i.e. difference in relative taxon abundance) between mucosa-associated and digesta communities attributed in part to the differential abundance of Bacteriodes, Alistipes, Oscillibacter, and unclassified Clostridiales. CONCLUSIONS: These data demonstrate that there was no significant difference in the composition of the predominant intestinal bacteria constituents within animals administered Aureo S-700 G and those not administered AGPs after a 28 day withdrawal period.

Rapid detection and identification of Bacillus anthracis in food using pyrosequencing technology.

The development of advanced methodologies for the detection of Bacillus anthracis has been evolving rapidly since the release of the anthrax spores in the mail in 2001. Recent advances in detection and identification techniques could prove to be an essential component in the defense against biological attacks. Sequence based such as pyrosequencing, which has the capability to determine short DNA stretches in real-time using biotinylated PCR amplicons, has potential biodefense applications. Using markers from the virulence plasmids (pXO1 and pXO2) and chromosomal regions, we have demonstrated the power of this technology in the rapid, specific and sensitive detection of B. anthracis spores in food matrices including milk, juice, bottled water, and processed meat. The combined use of immunomagnetic separation and pyrosequencing showed positive detection when liquid foods (bottled water, milk, juice), and processed meat were experimentally inoculated with 6CFU/mL and 6CFU/g, respectively, without an enrichment step. Pyrosequencing is completed in about 60min (following PCR amplification) and yields accurate and reliable results with an added layer of confidence. The entire assay (from sample preparation to sequencing information) can be completed in about 7.5h. A typical run on food samples yielded 67-80bp reads with 94-100% identity to the expected sequence. This sequence based approach is a novel application for the detection of anthrax spores in food with potential application in foodborne bioterrorism response and biodefense involving the use of anthrax spores.

Rapid detection and antimicrobial resistance gene profiling of Yersinia pestis using pyrosequencing technology.

When a bioterrorism attack is attempted or perpetrated there is considerable risk for public health and large scale socioeconomic consequences. It is imperative that we possess established assays for the rapid identification of biothreat agents with high sensitivity and specificity to ensure emergency response measures can be deployed appropriately. Highly trustworthy information within a relevant timeframe is required to make a rapid and informed decision. Obtaining DNA sequence data from a suspected agent provides an added layer of confidence compared to a presumptive positive PCR amplicon. Sequencing based technologies, such as pyrosequencing, have sufficient discrimination potential to be used for microbial identification and can also be used to identify antimicrobial resistance (AMR) genes. We have shown in this study the power of pyrosequencing in the unambiguous detection and identification of nine Yersinia pestis strains based on virulence genes. Furthermore, we developed assays to characterize their AMR gene profiles. Sequence results ranging from 40 to 84bp were generated in about 60 min following initial PCR amplification and provide a rapid method for determining the AMR profile as compared to the conventional plate method which takes several days. The high sequence identities (95-100%) and specificity observed indicate the high level of accuracy of pyrosequencing technology. In addition, the read lengths of up to 84 bp observed in this study are unprecedented for pyrosequencing using the Pyromark Q24. We propose this method as a novel, rapid, sequence based detection and identification tool for Y. pestis with a potential application in biodefence.

Rapid Detection and Identification of Yersinia pestis from Food Using Immunomagnetic Separation and Pyrosequencing.

Interest has recently been renewed in the possible use of Y. pestis, the causative agent of plague, as a biological weapon by terrorists. The vulnerability of food to intentional contamination coupled with reports of humans having acquired plague through eating infected animals that were not adequately cooked or handling of meat from infected animals makes the possible use of Y. pestis in a foodborne bioterrorism attack a reality. Rapid, efficient food sample preparation and detection systems that will help overcome the problem associated with the complexity of the different matrices and also remove any ambiguity in results will enable rapid informed decisions to be made regarding contamination of food with biothreat agents. We have developed a rapid detection assay that combines the use of immunomagnetic separation and pyrosequencing in generating results for the unambiguous identification of Y. pestis from milk (0.9 CFU/mL), bagged salad (1.6 CFU/g), and processed meat (10 CFU/g). The low detection limits demonstrated in this assay provide a novel tool for the rapid detection and confirmation of Y. pestis in food without the need for enrichment. The combined use of the iCropTheBug system and pyrosequencing for efficient capture and detection of Y. pestis is novel and has potential applications in food biodefence.

Immunomagnetic capture of Bacillus anthracis spores from food.

Food is a vulnerable target for potential bioterrorist attacks; therefore, a critical mitigation strategy is needed for the rapid concentration and detection of biothreat agents from food matrices. Magnetic beads offer a unique advantage in that they have a large surface area for efficient capture of bacteria. We have demonstrated the efficient capture and concentration of Bacillus anthracis (Sterne) spores using immunomagnetic beads for a potential food application. Magnetic beads from three different sources, with varying sizes and surface chemistries, were functionalized with monoclonal antibodies and polyclonal antibodies from commercial sources and used to capture and concentrate anthrax spores from spiked food matrices, including milk, apple juice, bagged salad, processed meat, and bottled water. The results indicated that the Pathatrix beads were more effective in the binding and capture of anthrax spores than the other two bead types investigated. Furthermore, it was observed that the use of polyclonal antibodies resulted in a more efficient recovery of anthrax spores than the use of monoclonal antibodies. Three different magnetic capture methods, inversion, the Pathatrix Auto system, and the new i CropTheBug system, were investigated. The i CropTheBug system yielded a much higher recovery of spores than the Pathatrix Auto system. Spore recoveries ranged from 80 to 100% for the i CropTheBug system when using pure spore preparations, whereas the Pathatrix Auto system had recoveries from 20 to 30%. Spore capture from food samples inoculated at a level of 1 CFU/ml resulted in 80 to 100% capture for milk, bottled water, and juice samples and 60 to 80% for processed meat and bagged salad when using the i CropTheBug system. This efficient capture of anthrax spores at very low concentrations without enrichment has the potential to enhance the sensitivity of downstream detection technologies and will be a useful method in a foodborne bioterrorism response.

spyder, a new method for in silico design and assessment of 16S rRNA gene primers for molecular microbial ecology.

Molecular microbial ecology studies are heavily reliant on 'Universal' 16S rRNA gene primers for elucidating microbial community structure and composition, and yet primer design and optimization is often overlooked. Primers that exhibit minor biases due to primer-template mismatches can substantially alter the pool of amplicons from a community DNA sample, resulting in inaccurate conclusions. As a result, it is important that primers are critically evaluated against the most comprehensive data sets available before commencing molecular microbial community studies. We present a user-friendly, multi-platform (e.g. Windows, Linux, Mac) method named spyder for the in silico design and assessment of 16S rRNA gene primers. The method utilizes the Ribosomal Database Project's Probe Match feature coupled with a compact program (available at http://people.uleth.ca/~selibl/Spyder/Spyder.html) that aligns and identifies mismatches between primers and templates. To demonstrate the value of spyder, we assessed commonly used 'Universal' and phyla-specific primers and identified primer modifications that improved the coverage of target organisms by 5-42% as well as removed excessive degeneracies.