Salmonella serovar identification using PCR-based detection of gene presence and absence

An SGSGeneloss-Based Method for Constructing a Gene Presence-Absence Table Using Mosdepth

Presence-absence variants (PAV) are genomic regions present in some individuals of a species, but not others. PAVs have been shown to contribute to genomic diversity, especially in bacteria and plants. These structural variations have been linked to traits and can be used to track a species' evolutionary history. PAVs are usually called by aligning short read sequence data from one or more individuals to a reference genome or pangenome assembly, and then comparing coverage. Regions where reads do not align define absence in that individual, and the regions are classified as PAVs. The method below details how to align sequence reads to a reference and how to use the sequencing-coverage calculator Mosdepth to identify PAVs and construct a PAV table for use in downstream comparative genome analysis.

Conserved CRISPR arrays in Salmonella enterica serovar Infantis can serve as qPCR targets to detect Infantis in mixed serovar populations

Salmonellosis is a leading bacterial cause of foodborne illness, and numerous Salmonella enterica serovars have been responsible for foodborne outbreaks. In the United States outbreaks are often linked to poultry and poultry-related products. The prevalence of Salmonella serovar Infantis has been increasing in poultry processing facilities over the past few years and in 2018 was identified as the causative agent for a large multistate outbreak linked to raw chicken. CRISPR-typing is a subtyping approach based on PCR and the sequencing of two Salmonella loci, CRISPR1 and CRISPR2. CRISPR-typing was used to interrogate 138 recent (2018-2019) isolates and genomes of ser. Infantis. Results show that the CRISPR elements are remarkably conserved in this serovar. The most conserved spacers, and those also unique to ser. Infantis, were used as targets to develop a ser. Infantis-specific qPCR assay. This assay was able to detect ser. Infantis in mixed serovar cultures of Salmonella, down to 0·1% of the population, highlighting the utility of this molecular approach in improving surveillance sensitivity for this important food safety pathogen. SIGNIFICANCE AND IMPACT OF THE STUDY: The incidence of human salmonellosis cases caused by Salmonella enterica serovar Infantis (ser. Infantis) has been increasing, as has its prevalence in broiler chickens, which are a frequent reservoir of Salmonella. A cluster of ser. Infantis genetically linked to an outbreak strain have been identified in numerous processing facilities. A qPCR assay targeting CRISPR elements that are unique to ser. Infantis has been developed and can detect this serovar directly from mixed cultures. This assay is sensitive enough to reveal ser. Infantis within a mixed Salmonella population where it constitutes only 0·1% of the population. The rapid nature of qPCR lends this assay to high-throughput screening of poultry samples to detect this important pathogen.

Finding invisible quantitative trait loci with missing data

Evolutionary processes during plant polyploidization and speciation have led to extensive presence-absence variation (PAV) in crop genomes, and there is increasing evidence that PAV associates with important traits. Today, high-resolution genetic analysis in major crops frequently implements simple, cost-effective, high-throughput genotyping from single nucleotide polymorphism (SNP) hybridization arrays; however, these are normally not designed to distinguish PAV from failed SNP calls caused by hybridization artefacts. Here, we describe a strategy to recover valuable information from single nucleotide absence polymorphisms (SNaPs) by population-based quality filtering of SNP hybridization data to distinguish patterns associated with genuine deletions from those caused by technical failures. We reveal that including SNaPs in genetic analyses elucidate segregation of small to large-scale structural variants in nested association mapping populations of oilseed rape (Brassica napus), a recent polyploid crop with widespread structural variation. Including SNaP markers in genomewide association studies identified numerous quantitative trait loci, invisible using SNP markers alone, for resistance to two major fungal diseases of oilseed rape, Sclerotinia stem rot and blackleg disease. Our results indicate that PAV has a strong influence on quantitative disease resistance in B. napus and that SNaP analysis using cost-effective SNP array data can provide extensive added value from 'missing data'. This strategy might also be applicable for improving the precision of genetic mapping in many important crop species.

A simplified multiplex PCR-based typing method for common Salmonella enterica serovars supported by online server-based detection system

Background & objectives:

A rapid and simple alternative method is needed to replace the laborious, time-consuming Salmonella serotyping. The objective of the present study was to improve and simplify a previously reported multiplex polymerase chain reaction (PCR)-based method and to create an online server to enable rapid determination of serovars.

Methods:

A method of multiplex PCR-based genome typing (MPGT) was standardized using 59 Salmonella isolates of 31 serovars. Several previously reported primers were modified to obtain a more accurate performance. The screen was separated into four different multiplex reactions distinguishable on standard electrophoresis. A blind study was subsequently performed with 81 isolates of 10 serovars most prevalent in India. Whole genome information from 440 Salmonella isolates was used to confirm the usefulness of this method and concurrence of in silico predictions and PCR results were investigated. A public server (http://www.mpgt-salmonella.res.in) was established for data storage and determination of closest previously observed Salmonella isolates based on obtained MPGT patterns.

Results:

The 16 target genes amplified showed variability in their presence in strains from different serotypes. Hence, identical amplification patterns suggested genetic relatedness of strains and usually identical serological behaviour. The observed absence/presence patterns of genes were converted to an MPGT code. Altogether, 83 different codes were predicted in silico based on the whole genome information of 440 strains. Results confirmed that major serovars usually displayed unique MPGT codes.

Interpretation & conclusions:

The multiplex PCR assay resulted in specific binary codes for isolates from each of the 31 Salmonella serovars tested. The online server allowed the user to compare obtained PCR results with stored previous patterns. Simplicity, speed and cost-effectiveness make this tool useful for quick outbreak management.

Effective characterization of Salmonella Enteritidis by most probable number (MPN) followed by multiplex polymerase chain reaction (PCR) methods

Nontyphoidal Salmonella (NTS) is a relevant pathogen involved in gastroenteritis outbreaks worldwide. In this study, we determined the capacity to combine the most probable number (MPN) and multiplex polymerase chain reaction (PCR) methods to characterize the most important Salmonella serotypes in raw sewage. A total of 499 isolates were recovered from 27 raw sewage samples and screened using two previously described multiplex PCR methods. From those, 123 isolates were selected based on PCR banding pattern-identical or similar to Salmonella Enteritidis and Salmonella Typhimurium-and submitted to conventional serotyping. Results showed that both PCR assays correctly serotyped Salmonella Enteritidis, however, they presented ambiguous results for Salmonella Typhimurium identification. These data highlight that MPN and multiplex PCR can be useful methods to describe microbial quality in raw sewage and suggest two new PCR patterns for Salmonella Enteritidis identification.

Genome-Scale Screening and Validation of Targets for Identification of Salmonella enterica and Serovar Prediction

Salmonella enterica is the most common foodborne pathogen worldwide, with 2,500 recognized serovars. Detection of S. enterica and its classification into serovars are essential for food safety surveillance and clinical diagnosis. The PCR method is useful for these applications because of its rapidity and high accuracy. We obtained 412 candidate detection targets for S. enterica using a comparative genomics mining approach. Gene ontology (GO) functional enrichment analysis of these candidate targets revealed that the GO term with the largest number of unigenes with known function (38 of 177, 21.5%) was significantly involved in pathogenesis (P < 10(-24)). All the candidate targets were then evaluated by PCR assays. Fifteen targets showed high specificity for the detection of S. enterica by verification with 151 S. enterica strains and 34 non-Salmonella strains. The phylogenetic trees of verified targets were highly comparable with those of housekeeping genes, especially for differentiating S. enterica strains into serovars. The serovar prediction ability was validated by sequencing one target (S9) for 39 S. enterica strains belonging to six serovars. Identical mutation sites existed in the same serovar, and different mutation sites were found in diverse serovars. Our findings revealed that 15 verified targets can be potentially used for molecular detection, and some of them can be used for serotyping of S. enterica strains.

Recombinant plasmid-based quantitative Real-Time PCR analysis of Salmonella enterica serotypes and its application to milk samples

The aim of the current study was to develop, a new, rapid, sensitive and quantitative Salmonella detection method using a Real-Time PCR technique based on an inexpensive, easy to produce, convenient and standardized recombinant plasmid positive control. To achieve this, two recombinant plasmids were constructed as reference molecules by cloning the two most commonly used Salmonella-specific target gene regions, invA and ttrRSBC. The more rapid detection enabled by the developed method (21 h) compared to the traditional culture method (90 h) allows the quantitative evaluation of Salmonella (quantification limits of 10(1)CFU/ml and 10(0)CFU/ml for the invA target and the ttrRSBC target, respectively), as illustrated using milk samples. Three advantages illustrated by the current study demonstrate the potential of the newly developed method to be used in routine analyses in the medical, veterinary, food and water/environmental sectors: I--The method provides fast analyses including the simultaneous detection and determination of correct pathogen counts; II--The method is applicable to challenging samples, such as milk; III--The method's positive controls (recombinant plasmids) are reproducible in large quantities without the need to construct new calibration curves.

PAV markers in Sorghum bicolour: genome pattern, affected genes and pathways, and genetic linkage map construction

KEY MESSAGE

5,511 genic small-size PAVs in sorghum were identified and examined, including the pattern and the function enrichment of PAV genes. 325 PAV markers were developed to construct a genetic map. Presence/absence variants (PAVs) correlate closely to the phenotypic variation, by impacting plant genome sizes and the adaption to the environment. To shed more light on their genome-wide patterns, functions and the possibility of using them as molecular markers, we generated next generation genome sequencing data for four sorghum inbred lines and used associated bioinformatic pipelines to identify small-size PAVs (40-10 kb). Five thousand five hundreds and eleven genic PAVs (40-10 kb) were identified and found to affect 3,238 genes. These PAVs were mainly distributed on the sub-telomeric regions, but the highest proportions occurred in the vicinity of the centromeric regions. One of the prominent features of the PAVs is the high occurrence of long terminal repeats retrotransposons and DNA transposons. PAVs caused various alterations to gene structure, primarily including the coding sequence variants, intron variants, transcript ablation, and initiator codon changes. The genes affected by PAVs were significantly enriched in those involved in stress responses and protein modification. We used 325 PAVs polymorphic between two sorghum inbred lines Ji2731 and E-Tian, together with 49 SSR markers, and constructed a genetic map, which consisted of 10 linkage groups corresponding to the 10 chromosomes of sorghum and spanned 1,430.3 cM in length covering 97% of the physical genome. The resources reported here should be useful for genetic study and breeding of sorghum and related species.

The commercial impact of pig Salmonella spp. infections in border-free markets during an economic recession

The genus Salmonella, a group of important zoonotic pathogens, is having global economic and political importance. Its main political importance results from the pathogenicity of many of its serovars for man. Serovars Salmonella Enteritidis and Salmonella Typhimurium are currently the most frequently associated to foodborne infections, but they are not the only ones. Animal food products contaminated from subclinically infected animals are a risk to consumers. In border free markets, an example is the EU, these consumers at risk are international. This is why, economic competition could use the risk of consumer infection either to restrict or promote free border trade in animals and their products. Such use of public health threats increases during economic recessions in nations economically weak to effectively enforce surveillance. In free trade conditions, those unable to pay the costs of pathogen control are unable to effectively implement agreed regulations, centrally decided, but leaving their enforcement to individual states. Free trade of animal food products depends largely on the promotion of safety, included in "quality," when traders target foreign markets. They will overtake eventually the markets of those ineffectively implementing agreed safety regulations, if their offered prices are also attractive for recession hit consumers. Nations unable to effectively enforce safety regulations become disadvantaged partners unequally competing with producers of economically robust states when it comes to public health. Thus, surveillance and control of pathogens like Salmonella are not only quantitative. They are also political issues upon which states base national trade decisions. Hence, the quantitative calculation of costs incurring from surveillance and control of animal salmonelloses, should not only include the cost for public health protection, but also the long term international economic and political costs for an individual state. These qualitative and qualitative costs of man and animal Salmonella infections should be calculated in the light of free trade and open borders. Understandably, accurate calculation of the economic and political costs requires knowledge of the many factors influencing nationally the quality and safety of pork products and internationally free trade. Thus, how Salmonella pig infections affect commerce and public health across open borders depends on a state's ability to accurately calculate costs for the surveillance and control of animal salmonelloses in general, and pig infections as a particular example.

Exploration of presence/absence variation and corresponding polymorphic markers in soybean genome

This study was designed to reveal the genome-wide distribution of presence/absence variation (PAV) and to establish a database of polymorphic PAV markers in soybean. The 33 soybean whole-genome sequences were compared to each other with that of Williams 82 as a reference genome. A total of 33,127 PAVs were detected and 28,912 PAV markers with their primer sequences were designed as the database NJAUSoyPAV_1.0. The PAVs scattered on whole genome while only 518 (1.8%) overlapped with simple sequence repeats (SSRs) in BARCSOYSSR_1.0 database. In a random sample of 800 PAVs, 713 (89.13%) showed polymorphism among the 12 differential genotypes. Using 126 PAVs and 108 SSRs to test a Chinese soybean germplasm collection composed of 828 Glycine soja Sieb. et Zucc. and Glycine max (L.) Merr. accessions, the per locus allele number and its variation appeared less in PAVs than in SSRs. The distinctness among alleles/bands of PCR (polymerase chain reaction) products showed better in PAVs than in SSRs, potential in accurate marker-assisted allele selection. The association mapping results showed SSR + PAV was more powerful than any single marker systems. The NJAUSoyPAV_1.0 database has enriched the source of PCR markers, and may fit the materials with a range of per locus allele numbers, if jointly used with SSR markers.

Development of a PCR test system for specific detection of Salmonella Paratyphi B in foods

Salmonella enterica serotype Paratyphi B is a globally distributed human-specific pathogen causing paratyphoid fever. The aim of this study was to develop a rapid and reliable polymerase chain reaction (PCR) assay for its detection in food. The SPAB_01124 gene was found to be unique to S. Paratyphi B using comparative genomics. Primers for fragments of the SPAB_01124 gene and the Salmonella-specific invA gene were used in combination to establish a multiplex PCR assay that showed 100% specificity across 45 Salmonella strains (representing 34 serotypes) and 18 non-Salmonella strains. The detection limit was 2.2 CFU mL(-1) of S. Paratyphi B after 12-h enrichment in pure culture. It was shown that co-culture with S. Typhimurium or Escherichia coli up to concentrations of 3.6 × 10(5)  CFU and 3.3 × 10(4)  CFU, respectively, did not interfere with PCR detection of S. Paratyphi B. In artificially contaminated milk, the assay could detect as few as 62 CFU mL(-1) after 8 h of enrichment. In conclusion, comparative genomics was found to be an efficient approach to the mining of pathogen-specific target genes, and the PCR assay that was developed from this provided a rapid, specific, and sensitive method for detection of S. Paratyphi B.

Molecular methods for serovar determination of Salmonella

Salmonella is a diverse foodborne pathogen, which has more than 2600 recognized serovars. Classification of Salmonella isolates into serovars is essential for surveillance and epidemiological investigations; however, determination of Salmonella serovars, by traditional serotyping, has some important limitations (e.g. labor intensive, time consuming). To overcome these limitations, multiple methods have been investigated to develop molecular serotyping schemes. Currently, molecular methods to predict Salmonella serovars include (i) molecular subtyping methods (e.g. PFGE, MLST), (ii) classification using serovar-specific genomic markers and (iii) direct methods, which identify genes encoding antigens or biosynthesis of antigens used for serotyping. Here, we reviewed reported methodologies for Salmonella molecular serotyping and determined the "serovar-prediction accuracy", as the percentage of isolates for which the serovar was correctly classified by a given method. Serovar-prediction accuracy ranged from 0 to 100%, 51 to 100% and 33 to 100% for molecular subtyping, serovar-specific genomic markers and direct methods, respectively. Major limitations of available schemes are errors in predicting closely related serovars (e.g. Typhimurium and 4,5,12:i:-), and polyphyletic serovars (e.g. Newport, Saintpaul). The high diversity of Salmonella serovars represents a considerable challenge for molecular serotyping approaches. With the recent improvement in sequencing technologies, full genome sequencing could be developed into a promising molecular approach to serotype Salmonella.

Comparison of typing methods with a new procedure based on sequence characterization for Salmonella serovar prediction

As the development of molecular serotyping approaches is critical for Salmonella spp., which include >2,600 serovars, we performed an initial evaluation of the ability to identify Salmonella serovars using (i) different molecular subtyping methods and (ii) a newly implemented combined PCR- and sequencing-based approach that directly targets O- and H-antigen-encoding genes. Initial testing was performed using 46 isolates that represent the top 40 Salmonella serovars isolated from human and nonhuman sources, as reported by the U.S. Centers for Disease Control and Prevention and the World Health Organization. Multilocus sequence typing (MLST) was able to accurately predict the serovars for 42/46 isolates and showed the best ability to predict serovars among the subtyping methods tested. Pulsed-field gel electrophoresis (PFGE), ribotyping, and repetitive extragenic palindromic sequence-based PCR (rep-PCR) were able to accurately predict the serovars for 35/46, 34/46, and 30/46 isolates, respectively. Among the methods, S. enterica subsp. enterica serovars 4,5,12:i:-, Typhimurium, and Typhimurium var. 5- were frequently not classified correctly, which is consistent with their close phylogenetic relationship. To develop a PCR- and sequence-based serotyping approach, we integrated available data sources to implement a combination PCR-based O-antigen screening and sequencing of internal fliC and fljB fragments. This approach correctly identified the serovars for 42/46 isolates in the initial set representing the most common Salmonella serovars, as well as for 54/63 isolates representing less common Salmonella serovars. Our study not only indicates that different molecular approaches show the potential to allow for rapid serovar classification of Salmonella isolates, but it also provides data that can help with the selection of molecular serotyping methods to be used by different laboratories.

Variation of presence/absence genes among Arabidopsis populations

BACKGROUND

Gene presence/absence (P/A) polymorphisms are commonly observed in plants and are important in individual adaptation and species differentiation. Detecting their abundance, distribution and variation among individuals would help to understand the role played by these polymorphisms in a given species. The recently sequenced 80 Arabidopsis genomes provide an opportunity to address these questions.

RESULTS

By systematically investigating these accessions, we identified 2,407 P/A genes (or 8.9%) absent in one or more genomes, averaging 444 absent genes per accession. 50.6% of P/A genes belonged to multi-copy gene families, or 31.0% to clustered genes. However, the highest proportion of P/A genes, outnumbered in singleton genes, was observed in the regions near centromeres. In addition, a significant correlation was observed between the P/A gene frequency among the 80 accessions and the diversity level at P/A loci. Furthermore, the proportion of P/A genes was different among functional gene categories. Finally, a P/A gene tree showed a diversified population structure in the worldwide Arabidopsis accessions.

CONCLUSIONS

An estimate of P/A genes and their frequency distribution in the worldwide Arabidopsis accessions was obtained. Our results suggest that there are diverse mechanisms to generate or maintain P/A genes, by which individuals and functionally different genes can selectively maintain P/A polymorphisms for a specific adaptation.

Automated pangenomic analysis in target selection for PCR detection and identification of bacteria by use of ssGeneFinder Webserver and its application to Salmonella enterica serovar Typhi

With the advent of high-throughput DNA sequencing, more than 4,000 bacterial genomes have been sequenced and are publicly available. We report a user-friendly web platform, ssGeneFinder Webserver (http://147.8.74.24/ssGeneFinder/), which is updated weekly for the automated pangenomic selection of specific targets for direct PCR detection and the identification of clinically important bacteria without the need of gene sequencing. To apply the ssGeneFinder Webserver for identifying specific targets for Salmonella enterica serovar Typhi, we analyzed 11 S. Typhi genomes, generated two specific targets, and validated them using 40 S. Typhi, 110 non-Typhi Salmonella serovars (serovar Paratyphi A, n = 4; Paratyphi B, n = 1; Typhimurium, n = 5; Enteritidis, n = 12; non-Paratyphi group A, n = 6; non-Paratyphi group B, n = 29; non-Paratyphi group C, n = 12; non-Typhi group D, n = 35; group E and others, n = 6), 115 Enterobacteriaceae isolates (Escherichia, n = 78; Shigella, n = 2; Klebsiella, n = 13; Enterobacter, n = 9; others, n = 13), and 66 human stool samples that were culture negative for S. Typhi. Both targets successfully detected all typical and atypical S. Typhi isolates, including an H1-j flagellin gene mutant, an aflagellated mutant which reacted with 2O Salmonella antiserum, and the Vi-negative attenuated vaccine strain Ty21a. No false positive was detected from any of the bacterial isolates and stool samples. DNA sequencing confirmed the identity of all positive amplicons. The PCR assays have detection limits as low as 100 CFU per reaction and were tested using spiked stool samples. Using a pangenomic approach, ssGeneFinder Webserver generated targets specific to S. Typhi. These and other validated targets should be applicable to the identification and direct PCR detection of bacterial pathogens from uncultured, mixed, and environmental samples.

Expression of Escherichia coli virulence usher protein attenuates wild-type Salmonella

Generation of a live attenuated vaccine for bacterial pathogens often requires prior knowledge of the pathogen's virulence factors. We hypothesized an alternative approach of heterologous gene expression would make a wild-type (wt) pathogen more susceptible to host cell killing, thus, resulting in immunization. As proof of concept, the heterologous expression of enterotoxigenic E. coli (ETEC) colonization factor antigen I (CFA/I) was tested to attenuate Salmonella. The overexpression of CFA/I resulted in significant attenuation of wt Salmonella. In-depth studies revealed the attenuation depended on the co-expression of chaperone (CfaA) and usher (CfaC) proteins. Remarkably, the CfaAC-attenuated Salmonella conferred protection against wt Salmonella challenge. Mechanistic study indicated CfaAC made Salmonella outer membranes permeable, causing Salmonella to be vulnerable to host destruction. Thus, enhancing bacterial permeability via CfaAC represents an alternative method to attenuate pathogens despite the presence of unknown virulence factors.

Methodologies for Salmonella enterica subsp. enterica subtyping: gold standards and alternatives

For more than 80 years, subtyping of Salmonella enterica has been routinely performed by serotyping, a method in which surface antigens are identified based on agglutination reactions with specific antibodies. The serotyping scheme, which is continuously updated as new serovars are discovered, has generated over time a data set of the utmost significance, allowing long-term epidemiological surveillance of Salmonella in the food chain and in public health control. Conceptually, serotyping provides no information regarding the phyletic relationships inside the different Salmonella enterica subspecies. In epidemiological investigations, identification and tracking of salmonellosis outbreaks require the use of methods that can fingerprint the causative strains at a taxonomic level far more specific than the one achieved by serotyping. During the last 2 decades, alternative methods that could successfully identify the serovar of a given strain by probing its DNA have emerged, and molecular biology-based methods have been made available to address phylogeny and fingerprinting issues. At the same time, accredited diagnostics have become increasingly generalized, imposing stringent methodological requirements in terms of traceability and measurability. In these new contexts, the hand-crafted character of classical serotyping is being challenged, although it is widely accepted that classification into serovars should be maintained. This review summarizes and discusses modern typing methods, with a particular focus on those having potential as alternatives for classical serotyping or for subtyping Salmonella strains at a deeper level.

MassCode liquid arrays as a tool for multiplexed high-throughput genetic profiling

Multiplexed detection assays that analyze a modest number of nucleic acid targets over large sample sets are emerging as the preferred testing approach in such applications as routine pathogen typing, outbreak monitoring, and diagnostics. However, very few DNA testing platforms have proven to offer a solution for mid-plexed analysis that is high-throughput, sensitive, and with a low cost per test. In this work, an enhanced genotyping method based on MassCode technology was devised and integrated as part of a high-throughput mid-plexing analytical system that facilitates robust qualitative differential detection of DNA targets. Samples are first analyzed using MassCode PCR (MC-PCR) performed with an array of primer sets encoded with unique mass tags. Lambda exonuclease and an array of MassCode probes are then contacted with MC-PCR products for further interrogation and target sequences are specifically identified. Primer and probe hybridizations occur in homogeneous solution, a clear advantage over micro- or nanoparticle suspension arrays. The two cognate tags coupled to resultant MassCode hybrids are detected in an automated process using a benchtop single quadrupole mass spectrometer. The prospective value of using MassCode probe arrays for multiplexed bioanalysis was demonstrated after developing a 14plex proof of concept assay designed to subtype a select panel of Salmonella enterica serogroups and serovars. This MassCode system is very flexible and test panels can be customized to include more, less, or different markers.

High-throughput Universal Probe Salmonella Serotyping (UPSS) by nanoPCR

Salmonella enterica subsp. enterica serovar identification is of great importance with respect to outbreak monitoring and case verification. Therefore rapid, sensitive and cost efficient detection of Salmonella spp. is indispensable within microbiology labs. To amalgamate single tube isolate identification with Salmonella typing, we developed the high-throughput Universal Probe Salmonella Serotyping (UPSS) technique based on nano liter PCR. In comparison to the classical approach, where O- and H-antisera are applied, the UPSS relies on specific gene content amplification of Salmonella spp. by a universal TaqMan assay for all markers and identification of the specific amplicon pattern. To enable high-throughput technology we employed a chip format containing 1024 wells loaded by an automated liquid-handling system which allowed us to perform TaqMan PCR reactions in volumes of 100nL per well. Herein we present proof of principle of the UPSS method by the use of a test panel of 100 previously serotyped Salmonella isolates to successfully verify the usability, accuracy and feasibility of the newly developed UPSS approach. We found that the methodology of the UPSS technology is capable of unequivocally identifying 30 Salmonella serotypes on a single chip within 3 hours but can be highly parallelized by the use of multiple PCR machines. Therefore the UPSS method offers a robust and straightforward molecular alternative for Salmonella detection and typing that saves expensive chemistry and can be easily automated.

Development of microarray and multiplex polymerase chain reaction assays for identification of serovars and virulence genes in Salmonella enterica of human or animal origin

Salmonella enterica is an important enteric pathogen consisting of many serovars that can cause severe clinical diseases in animals and humans. Rapid identification of Salmonella isolates is especially important for epidemiologic monitoring and controlling outbreaks of disease. Although immunologic and DNA-based serovar identification methods are available for rapid identification of isolates, they are time consuming or costly or both. In the current study, 2 molecular methods for identification of Salmonella serovars were developed and validated. A 70-mer oligonucleotide spotted microarray was developed that consisted of probes that detected genes responsible for genetic variation among isolates of Salmonella that can be used for serotyping. A multiplex polymerase chain reaction (PCR) assay was also developed, which is capable of identifying 42 serovars, thus providing a valuable prediction of the pathogenicity of the isolates by detecting the presence of virulence genes sseL, invA, and spvC. The gene spvC was the best predictor of pathogenicity. In a blind study, traditional serologic methods were correlated at 93.3% with the microarray-based method and 100% with the multiplex PCR-based serovar determination.

Spontaneous excision of the Salmonella enterica serovar Enteritidis-specific defective prophage-like element phiSE14

Salmonella enterica serovar Enteritidis has emerged as a major health problem worldwide in the last few decades. DNA loci unique to S. Enteritidis can provide markers for detection of this pathogen and may reveal pathogenic mechanisms restricted to this serovar. An in silico comparison of 16 Salmonella genomic sequences revealed the presence of an approximately 12.5-kb genomic island (GEI) specific to the sequenced S. Enteritidis strain NCTC13349. The GEI is inserted at the 5' end of gene ydaO (SEN1377), is flanked by 308-bp imperfect direct repeats (attL and attR), and includes 21 open reading frames (SEN1378 to SEN1398), encoding primarily phage-related proteins. Accordingly, this GEI has been annotated as the defective prophage SE14 in the genome of strain NCTC13349. The genetic structure and location of phiSE14 are conserved in 99 of 103 wild-type strains of S. Enteritidis studied here, including reference strains NCTC13349 and LK5. Notably, an extrachromosomal circular form of phiSE14 was detected in every strain carrying this island. The presence of attP sites in the circular forms detected in NCTC13349 and LK5 was confirmed. In addition, we observed spontaneous loss of a tetRA-tagged version of phiSE14, leaving an empty attB site in the genome of strain NCTC13349. Collectively, these results demonstrate that phiSE14 is an unstable genetic element that undergoes spontaneous excision under standard growth conditions. An internal fragment of phiSE14 designated Sdf I has been used as a serovar-specific genetic marker in PCR-based detection systems and as a tool to determine S. Enteritidis levels in experimental infections. The instability of this region may require a reassessment of its suitability for such applications.

Protection of Salmonella by ampicillin-resistant Escherichia coli in the presence of otherwise lethal drug concentrations

Microbial systems have become the preferred testing grounds for experimental work on the evolution of traits that benefit other group members. This work, based on conceptual and theoretical models of frequency-dependent selection within populations, has proven fruitful in terms of understanding the dynamics of group beneficial or 'public goods' traits within species. Here, we expand the scope of microbial work on the evolution of group-beneficial traits to the case of multi-species communities, particularly those that affect human health. We examined whether beta-lactamase-producing Escherichia coli could protect ampicillin-sensitive cohorts of other species, particularly species that could cause human disease. Both beta-lactamase-secreting E. coli and, surprisingly, those engineered to retain it, allowed for survival of a large number of ampicillin-sensitive cohorts of Salmonella enterica serovar Typhimurium, including both laboratory and clinical isolates. The Salmonella survivors, however, remained sensitive to ampicillin when re-plated onto solid medium and there was no evidence of gene transfer. Salmonella survival did not even require direct physical contact with the resistant E. coli. The observed phenomenon appears to involve increased release of beta-lactamase from the E. coli when present with S. enterica. Significantly, these findings imply that resistant E. coli, that are not themselves pathogenic, may be exploited, even when they are normally selfish with respect to other E. coli. Thus, Salmonella can gain protection against antibiotics from E. coli without gene transfer, a phenomenon not previously known. As a consequence, antibiotic-resistant E. coli can play a decisive role in the survival of a species that causes disease and may thereby interfere with successful treatment.

Novel genetic tools for studying food-borne Salmonella

Nontyphoidal Salmonellae are highly prevalent food-borne pathogens. High-throughput sequencing of Salmonella genomes is expanding our knowledge of the evolution of serovars and epidemic isolates. Genome sequences have also allowed the creation of complete microarrays. Microarrays have improved the throughput of in vivo expression technology (IVET) used to uncover promoters active during infection. In another method, signature tagged mutagenesis (STM), pools of mutants are subjected to selection. Changes in the population are monitored on a microarray, revealing genes under selection. Complete genome sequences permit the construction of pools of targeted in-frame deletions that have improved STM by minimizing the number of clones and the polarity of each mutant. Together, genome sequences and the continuing development of new tools for functional genomics will drive a revolution in the understanding of Salmonellae in many different niches that are critical for food safety.

High-throughput molecular determination of salmonella enterica serovars by use of multiplex PCR and capillary electrophoresis analysis

Salmonella enterica is a leading cause of food-borne illness worldwide and is also a major cause of morbidity and mortality in domestic and wild animals. In the current study, a high-throughput molecular assay was developed to determine the most common clinical and nonhuman serovars of S. enterica in the United States. Sixteen genomic targets were identified based on their differential distribution among common serovars. Primers were designed to amplify regions of each of these targets in a single multiplex PCR while incorporating a 6-carboxyfluorescein-labeled universal primer to fluorescently label all amplicons. The fluorescently labeled PCR products were separated using capillary electrophoresis, and a Salmonella multiplex assay for rapid typing (SMART) code was generated for each isolate, based upon the presence or absence of PCR products generated from each target gene. Seven hundred fifty-one blind clinical isolates of Salmonella from Washington State, collected in 2007 and previously serotyped via antisera, were screened with the assay. A total of 89.6% of the isolates were correctly identified based on comparison to a panel of representative SMART codes previously determined for the top 50 most common serovars in the United States. Of the remaining isolates, 6.2% represented isolates that produced a new SMART code for a previously determined serotype, while the final 8.8% were from serotypes not screened in the original panel used to score isolates in the blinded study. This high-throughput multiplex PCR assay allowed simple and accurate typing of the most prevalent clinical serovars of Salmonella enterica at a level comparable to that of conventional serotyping, but at a fraction of both the cost and time required per test.

Rapid multiplex PCR and real-time TaqMan PCR assays for detection of Salmonella enterica and the highly virulent serovars Choleraesuis and Paratyphi C

Salmonella enterica is a human pathogen with over 2,500 serovars characterized. S. enterica serovars Choleraesuis and Paratyphi C are two globally distributed serovars. We have developed a rapid molecular-typing method to detect serovars Choleraesuis and Paratyphi C in food samples by using a comparative-genomics approach to identify regions unique to each serovar from the sequenced genomes. A Salmonella-specific primer pair based on oriC was designed as an internal control to establish accuracy, sensitivity, and reproducibility. Serovar-specific primer sets based on regions of difference between serovars Choleraesuis and Paratyphi C were designed for real-time PCR assays. Three primer sets were used to screen a collection of over 100 Salmonella strains, and both serovars Choleraesuis and Paratyphi C gave unique amplification patterns. To develop the technique for practical use, its sensitivity for detection of Salmonella spp. in a food matrix was determined by spiking experiments. The technique was also adapted for a real-time PCR rapid-detection assay for both serovars Choleraesuis and Paratyphi C that complements the current procedures for Salmonella sp. isolation and serotyping.