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Food safety is an important consideration worldwide. To maintain and improve our current knowledge of foodborne disease outbreaks, we must understand some of the more imminent issues related to food safety. A variety of agents are responsible for transmitting the estimated 76 million cases of illnesses caused by foodborne pathogens every year. This review explores why insects pose a serious health concern, in terms of worldwide food safety initiatives, by looking at evidence in published Food safety is an important consideration worldwide. To maintain and improve our current knowledge of foodborne disease outbreaks, we must understand some of the more imminent issues related to food safety. A variety of agents are responsible for transmitting the estimated 76 million cases of illnesses caused by foodborne pathogens every year. This review explores why insects pose a serious health concern, in terms of worldwide food safety initiatives, by looking at evidence in published literature. We highlight at least eleven different species of insects, including the lesser mealworm, Alphitobius diaperinus (Panzer); secondary screwworm, Cochliomyia macellaria (Fabricius); synanthropic flies [flesh fly, Sarcophaga carnaria (L.); house fly, Musca domestica (L.); fruit fly, Drosophila melanogaster (Meigen); and stable fly, Stomoxys calcitrans (L.)], American cockroach, Periplaneta americana (L.); German cockroach, Blatella germanica (L.); Oriental cockroach, Blatta orientalis (L.); Pacific beetle cockroach, Diploptera punctata (Eschscholtz); and Speckled feeder cockroach, Nauphoeta cinerea (Olivier), which act as vectors for Salmonella spp. or Escherichia coli and illustrate how these insects are successful vectors of foodborne disease outbreaks. We propose that insects be considered as one of the latest issues in food safety initiatives. Not only are some insects extremely important contributors to diseases, but now we suggest that more research into insects as potential carriers of E. coli and Salmonella spp., and therefore as contributing to foodborne disease outbreaks, is granted.

Objectives Corynebacterium striatum is an emerging multidrug-resistant (MDR) pathogen of immunocompromised and chronically ill patients. The objective of these studies was to provide a detailed genomic analysis of disease-causing C. striatum and determine the genomic drivers of resistance and resistance-gene transmission. Methods A multi-institutional and prospective pathogen genomics programme flagged seven MDR C. striatum infections occurring close in time, and specifically in immunocompromised patients with underlying respiratory diseases. Whole genome sequencing was used to identify clonal relationships among strains, genetic causes of antimicrobial resistance, and their mobilization capacity. Matrix-assisted linear desorption/ionization-time-of-flight analyses of sequenced isolates provided curated content to improve rapid clinical identification in subsequent cases. Results Epidemiological and genomic analyses identified a related cluster of three out of seven C. striatum among lung transplant patients who had common procedures and exposures at an outlying institution. Genomic analyses further elucidated drivers of the MDR phenotypes, including resistance genes mobilized by IS3504 and IS Cg 9a-like insertion sequences. Seven mobilizable resistance genes were localized to a common chromosomal region bounded by unpaired insertion sequences, suggesting that a single recombination event could spread resistance to aminoglycosides, macrolides, lincosamides and tetracyclines to naive strains. Conclusion In-depth genomic studies of MDR C. striatum reveal its capacity for clonal spread within and across healthcare institutions and identify novel vectors that can mobilize multiple forms of drug resistance, further complicating efforts to treat infections in immunocompromised populations.

Escherichia coli serotype O157:H7 continues to pose a serious health threat to human beings. Cattle, a major reservoir of the pathogen, harbor E. coli O157:H7 in their gastrointestinal tract and shed variable concentrations of E. coli O157:H7 into the environment. Genetic characterization of cattle-shed E. coli O157 strains is of interest to the livestock industry, food business, and public health community. The present study applied whole genome shotgun sequencing (WGS) and single nucleotide variant (SNV) calling to characterize 279 cattle-shed E. coli O157:H7 strains isolated from a single feedlot located in southwestern region of the US. More than 4,000 SNVs were identified among the strains and the resultant phylogenomic tree revealed three major groups. Using the Sakai strain genome as reference, more than 2,000 SNVs were annotated and a detailed SNV map generated. Results clearly revealed highly polymorphic loci along the E. coli O157:H7 genome that aligned with the prophage regions and highly variant genes involved in processing bacterial genetic information. The WGS data were further profiled against a comprehensive virulence factor database (VFDB) for virulence gene identification. Among the total 285 virulence genes identified, only 132 were present in all the strains. There were six virulence genes unique to single isolates. Our findings suggested that the genome variations of the E. coli O157:H7 were mainly attributable to dynamics of certain phages, and the bacterial strains have variable virulence gene profiles, even though they came from a single cattle population, which may explain the differences in pathogenicity, host prevalence, and transmissibility by E. coli O157:H7.

Because horizontal gene transfer can confound the recovery of the largely prokaryotic tree of life (ToL), most genome-based techniques seek to eliminate horizontal signal from ToL analyses, commonly by sieving out incongruent genes and data. This approach greatly limits the number of gene families analysed to a subset thought to be representative of vertical evolutionary history. However, formalized tests have not been performed to determine whether combining the massive amounts of information available in fully sequenced genomes can recover a reasonable ToL. Consequently, we used empirically defined gene homology definitions from a previous study that delineate xenologous gene families (gene families derived from a common transfer event) to generate a massively concatenated, combined-data ToL matrix derived from 323 404 translated open reading frames arranged into 12 381 gene homologue groups coded as amino acid data and 63 336, 64 105, 65 153, 66 922 and 67 109 gene homologue groups coded as gene presence/absence data for 166 fully sequenced genomes. This whole-genome gene presence/absence and amino acid sequence ToL data matrix is composed of 4867 184 characters (a combined data-type mega-matrix). Phylogenetic analysis of this mega-matrix yielded a fully resolved ToL that classifies all three commonly accepted domains of life as monophyletic and groups most taxa in traditionally recognized locations with high support. Most importantly, these results corroborate the existence of a common evolutionary history for these taxa present in both data types that is evident only when these data are analysed in combination. © The Willi Hennig Society 2010.

The emergence and dissemination of carbapenemases, bacterial enzymes able to inactivate most β-lactam antibiotics, in Enterobacteriaceae is of increasing concern. The concurrent spread of resistance against colistin, an antibiotic of last resort, further compounds this challenge further. Whole-genome sequencing (WGS) can play a significant role in the rapid and accurate detection/characterization of existing and emergent resistance determinants, an essential aspect of public health surveillance and response activities to combat the spread of antimicrobial resistant bacteria. In the current study, WGS data was used to characterize the genomic content of antimicrobial resistance genes, including those encoding carbapenemases, in 10 multidrug-resistant Klebsiella pneumoniae isolates from Pakistan. These clinical isolates represented five sequence types: ST11 (n = 3 isolates), ST14 (n = 3), ST15 (n = 1), ST101 (n = 2), and ST307 (n = 1). Resistance profiles against 25 clinically-relevant antimicrobials were determined by broth microdilution; resistant phenotypes were observed for at least 15 of the 25 antibiotics tested in all isolates except one. Specifically, 8/10 isolates were carbapenem-resistant and 7/10 isolates were colistin-resistant. The blaNDM-1 and blaOXA-48 carbapenemase genes were present in 7/10 and 5/10 isolates, respectively; including 2 isolates carrying both genes. No plasmid-mediated determinants for colistin resistance (e.g. mcr) were detected, but disruptions and mutations in chromosomal loci (i.e. mgrB and pmrB) previously reported to confer colistin resistance were observed. A blaOXA-48-carrying IncL/M-type plasmid was found in all blaOXA-48-positive isolates. The application of WGS to molecular epidemiology and surveillance studies, as exemplified here, will provide both a more complete understanding of the global distribution of MDR isolates and a robust surveillance tool useful for detecting emerging threats to public health.

Background and aims: Evolutionary and forensic studies commonly choose the mitochondrial control region as the locus for which to evaluate the domestic dog. However, the number of dogs that need to be sampled in order to represent the control region variation present in the worldwide population is yet to be determined.Materials and methods: Following the methods of Pereira et al. (2004), we have demonstrated the importance of surveying the complete control region rather than only the popular left domain. We have also evaluated sample saturation in terms of the haplotype number and the number of polymorphisms within the control region.Results: Of the most commonly cited evolutionary research, only a single study has adequately surveyed the domestic dog population, while all forensic studies have failed to meet the minimum values.Conclusion: We recommend that future studies consider dataset size when designing experiments and ideally sample both domains of the control region in an appropriate number of dome...

While the mitochondrial control region has proven successful for human forensic evaluations by indicating ethnic origin, domestic dogs (Canis lupus familiaris) of seemingly unrelated breeds often form large groups based on identical control region sequences. In an attempt to break up these large haplotype groups, we have analyzed the remaining c. 15,484 base pairs of the canine mitochondrial genome for 79 dogs and used phylogenetic and population genetic methods to search for additional variability in the form of single nucleotide polymorphisms (SNPs). We have identified 356 SNPs and 65 haplotypes in the remainder of the mitochondrial genome excluding the control region. The exclusion capacity was found to be 0.018. The mitochondrial control region was also evaluated for the same 79 dogs. The signals from the different fragments do not conflict, but instead support one another and provide a larger fragment of DNA that can be analyzed as forensic evidence.

Carbapenem-resistant Enterobacteriaceae (CRE) are an urgent public health concern. Rapid identification of the resistance genes, their mobilization capacity, and strains carrying them is essential to direct hospital resources to prevent spread and improve patient outcomes. Whole-genome sequencing allows refined tracking of both chromosomal traits and associated mobile genetic elements that harbor resistance genes. To enhance surveillance of CREs, clinical isolates with phenotypic resistance to carbapenem antibiotics underwent whole-genome sequencing. Analysis of 41 isolates of Klebsiella pneumoniae and Enterobacter cloacae, collected over a 3-year period, identified K. pneumoniae carbapenemase (KPC) genes encoding KPC-2, −3, and −4 and OXA-48 carbapenemases. All occurred within transposons, including multiple Tn4401 transposon isoforms, embedded within more than 10 distinct plasmids representing incompatibility (Inc) groups IncR, -N, -A/C, -H, and -X. Using short-read sequencing, draft maps were generated of new KPC-carrying vectors, several of which were derivatives of the IncN plasmid pBK31551. Two strains also had Tn4401 chromosomal insertions. Integrated analyses of plasmid profiles and chromosomal single-nucleotide polymorphism (SNP) profiles refined the strain patterns and provided a baseline hospital mobilome to facilitate analysis of new isolates. When incorporated with patient epidemiological data, the findings identified limited outbreaks against a broader 3-year period of sporadic external entry of many different strains and resistance vectors into the hospital. These findings highlight the utility of genomic analyses in internal and external surveillance efforts to stem the transmission of drug-resistant strains within and across health care institutions., IMPORTANCE We demonstrate how detection of resistance genes within mobile elements and resistance-carrying strains furthers active surveillance efforts for drug resistance. Whole-genome sequencing is increasingly available in hospital laboratories and provides a powerful and nuanced means to define the local landscape of drug resistance. In this study, isolates of Klebsiella pneumoniae and Enterobacter cloacae with resistance to carbapenem antibiotics were sequenced. Multiple carbapenemase genes were identified that resided in distinct transposons and plasmids. This mobilome, or population of mobile elements capable of mobilizing drug resistance, further highlighted the degree of strain heterogeneity while providing a detailed timeline of carbapenemase entry into the hospital over a 3-year period. These surveillance efforts support effective targeting of infection control resources and the development of institution-specific repositories of resistance genes and the mobile elements that carry them.

We report the genome sequence of Salmonella enterica subsp. enterica serovar Give (CFSAN012622), isolated from imported chili powder in 2014. This genome contains genes previously reported to be specific only to S. enterica serovar Enteritidis. This strain shows a unique pulsed-field gel electrophoresis (PFGE) pattern clustering with serovar Enteritidis (JEG X01.0005).

We present here the complete genome sequence of a strain of enteroinvasive Escherichia coli O96:H19 from a severe foodborne outbreak in a canteen in Italy in 2014. The complete genome may provide important information about the acquired pathogenicity of this strain and the transition between commensal and pathogenic E. coli .

Within the last several years, Salmonella enterica subsp. enterica serovar Agona has been among the 20 most frequently isolated serovars in clinical cases of salmonellosis. In this report, the complete genome sequence of S . Agona strain 460004 2-1 isolated from unsweetened puffed-rice cereal during a multistate outbreak in 2008 was sequenced using single-molecule real-time DNA sequencing.

Virginia is the third largest producer of fresh-market tomatoes in the United States. Tomatoes grown along the eastern shore of Virginia are implicated almost yearly in Salmonella illnesses. Traceback implicates contamination occurring in the pre-harvest environment. To get a better understanding of the ecological niches of Salmonella in the tomato agricultural environment, a two-year study was undertaken at a regional agricultural research farm in Virginia. Environmental samples, including tomato (fruit, blossoms and leaves), irrigation water, surface water and sediment, were collected over the growing season. These samples were analyzed for the presence of Salmonella using modified FDA-BAM methods. Molecular assays were used to screen the samples. Over 1500 samples were tested. Seventy-five samples tested positive for Salmonella yielding over 230 isolates. The most commonly isolated serovars were S. Newport and S. Javiana with pulsed-field gel electrophoresis yielding 39 different patterns. Genetic diversity was further underscored among many other serotypes, which showed multiple PFGE subtypes. Whole genome sequencing of several S. Newport isolates collected in 2010 compared to clinical isolates associated with tomato consumption showed very few single nucleotide differences between environmental isolates and clinical isolates suggesting a source link to Salmonella contaminated tomatoes. Nearly all isolates collected during two growing seasons of surveillance were obtained from surface water and sediment sources pointing to these sites as long-term reservoirs for persistent and endemic contamination of this environment.

Shiga toxin-producing Escherichia coli (STEC) O26 is the second leading E. coli serogroup responsible for human illness outbreaks behind E. coli O157:H7. Recent outbreaks have been linked to emerging pathogenic O26:H11 strains harboring stx2 only. Cattle have been recognized as an important reservoir of O26 strains harboring stx1; however the reservoir of these emerging stx2 strains is unknown. The objective of this study was to identify nucleotide polymorphisms in human and cattle-derived strains in order to compare differences in polymorphism derived genotypes and virulence gene profiles between the two host species. Whole genome sequencing was performed on 182 epidemiologically unrelated O26 strains, including 109 human-derived strains and 73 non-human-derived strains. A panel of 289 O26 strains (241 STEC and 48 non-STEC) was subsequently genotyped using a set of 283 polymorphisms identified by whole genome sequencing, resulting in 64 unique genotypes. Phylogenetic analyses identified seven clusters within the O26 strains. The seven clusters did not distinguish between isolates originating from humans or cattle; however, clusters did correspond with particular virulence gene profiles. Human and non-human-derived strains harboring stx1 clustered separately from strains harboring stx2, strains harboring eae, and non-STEC strains. Strains harboring stx2 were more closely related to non-STEC strains and strains harboring eae than to strains harboring stx1. The finding of human and cattle-derived strains with the same polymorphism derived genotypes and similar virulence gene profiles, provides evidence that similar strains are found in cattle and humans and transmission between the two species may occur.

Salmonella enterica causes health problem worldwide. The relationships among strains that are from the same serotype but different hosts, countries, and continents remain elusive. Few genome sequences are available from S. enterica isolates from South America. Therefore, we sequenced the genomes of 33 strains from diverse sources isolated in Chile and determined that they were of different serotypes. These genomes will improve phylogenetic analysis of Salmonella strains from Chile and the rest of South America.

Multidrug-resistant (MDR) Salmonella enterica subsp. enterica serotype Newport has been a long-standing public health concern in the United States. We present the complete sequences of six IncA/C plasmids from animal-derived MDR S . Newport ranging from 80.1 to 158.5 kb. They shared a genetic backbone with S . Newport IncA/C plasmids pSN254 and pAM04528.

Obtaining DNA sequences, particularly nuclear DNA, from museum specimens is challenging. We sequenced nuclear DNA from small bone fragments of skeletonized and fluid‐fixed museum specimens of squamate reptiles by using a forensic protocol developed for isolating DNA from human bones. The method yielded high quality nuclear DNA sequences from bones taken from 11 of 21 (52.4%) skeletonized or desiccated specimens, the oldest of which dated back to 1938, and 1 of 9 (11.1%) fluid‐preserved specimens, which was collected in 1957.

The Scientific Working Group on DNA Analysis Methods (SWGDAM) Hispanic data set was analyzed to determine the diversity, phylogeny, and relevant single nucleotide polymorphisms (SNPs) that describe haplogroup patterns for Hispanic Americans (N = 686), and to assess the degree of admixture regarding mitochondrial DNA (mtDNA). The largest component of admixture based on mtDNA analysis derives from the four major haplogroups previously observed in Native American ancestry, including A (29.3%), B (15.7%), C (20.6%), and D (4.8%). European (17.8%) and African (11.8%) haplogroups also were observed within this data set. Hispanic SWGDAM samples from the southwest, compared with other SWGDAM Hispanic samples, were observed to have a greater percent of Native American haplogroups present (79.9%), and fewer African American haplogroups (4.5%). A total of 234 SNPs were observed in the data set, including 36 newly reported variable positions. These SWGDAM Hispanic data set SNPs ranged from having 1 to 31 changes (Length = L) on the phylogenetic tree, with site 16519 being the most variable. On average, there were 3.9 character changes for each variable position on the tree. The most variable sites (with 13 or more changes each listed from fastest to slowest) observed were 16519 (L = 31), 16189 (L = 23), 152 (L = 23), 16311 (L = 19), 146 (L = 17) 195 (L = 17), 16093 (L = 15), 16362 (L = 14), 16129 (L = 13), 150 (L = 13), and 153 (L = 13). These sites are consistent with other reports on highly variable positions. A total of 27 SNPs were chosen to identify all clusters containing 1% (N = 7) or more individuals in the SWGDAM Hispanic data set. The descriptive analyses revealed that the SWGDAM Hispanic data set is similar to published Native American and Hispanic data sets.

The SWGDAM mtDNA database is a publicly available reference source that is used for estimating the rarity of an evidence mtDNA profile. Because of the current processes for generating population data, it is unlikely that population databases are error free. The majority of the errors are due to human error and are transcriptional in nature. Phylogenetic analysis of data sets can identify some potential errors, and coupled with a review of the sequence data or alignment sheets can be a very useful tool. Seven sequences with errors have been identified by phylogenetic analysis. In addition, two samples were inadvertently modified when placed in the SWGDAM database. The corrected sequences are provided so that users can modify appropriately the current iteration of the SWGDAM database. From a practical perspective, upper bound estimates of the percentage of matching profiles obtained from a database search containing an incorrect sequence and those of a database containing the corrected sequence are not substantially different. Community wide access and review has enabled identification of errors in the SWGDAM data set and will continue to do so. The result of public accessibility is that the quality of the SWGDAM forensic dataset is always improving.

Debate on the validity and reliability of scientific methods often arises in the courtroom. When the government (i.e., the prosecution) is the proponent of evidence, the defense is obliged to challenge its admissibility. Regardless, those who seek to use DNA typing methodologies to analyze forensic biological evidence have a responsibility to understand the technology and its applications so a proper foundation(s) for its use can be laid. Mitochondrial DNA (mtDNA), an extranuclear genome, has certain features that make it desirable for forensics, namely, high copy number, lack of recombination, and matrilineal inheritance. mtDNA typing has become routine in forensic biology and is used to analyze old bones, teeth, hair shafts, and other biological samples where nuclear DNA content is low. To evaluate results obtained by sequencing the two hypervariable regions of the control region of the human mtDNA genome, one must consider the genetically related issues of nomenclature, reference population databases, heteroplasmy, paternal leakage, recombination, and, of course, interpretation of results. We describe the approaches, the impact some issues may have on interpretation of mtDNA analyses, and some issues raised in the courtroom.

Human mitochondrial DNA (mtDNA) analysis is a valuable forensic tool, useful in cases where the amount of extracted DNA is low or highly degraded. Population databases are used to determine the relative rarity of a particular profile obtained in a forensic case. Rather than full DNA sequence information, sequence profiles are compared to a reference sequence, and the differences from the reference are recorded in forensic databases. A standard method is proposed for characterizing length variants, and examples are described using actual human control region mtDNA profiles. Consistency in alignment and nomenclature avoids inadvertently describing two sequences as different when in fact they are the same.

The order Lipotyphla has generally been viewed as a difficult group to classify. For example, recent morphologically based analyses only weakly support the lipotyphla while molecular evidence renders it polyphyletic, placing the golden moles and tenrecs in the superorder known as Afrotheria. Afrotheria is an hypothesized order that contains elephants, sirenians, hyraxes, aardvarks, elephant shrews, tenrecs, and golden moles. Within this group, it has been suggested that the African lipotyphlans (tenrecs and golden moles) form a monophyletic order sometimes referred to as "Afroscoricida," but more appropriately termed Tenrecoidea. The paper presents a molecular analysis of 36 taxa including representatives of five of the six families in Lipotyphla (Solenodontidae is absent) and all orders within Afrotheria. Parsimony analyses were completed using data from the nucleotide sequence of the tenth exon of the growth hormone receptor gene (GHR). These analyses support both the polyphyly of Lipotyphla and the monophyly of Afrotheria with high bootstrap and jackknife support. In addition, the remaining lipotyphlans (known as Eulipotyphla) appear polyphyletic, as does Tenrecoidea.

Most mtDNA studies on Native Americans have concentrated on hypervariable region I (HVI) sequence data. Mitochondrial DNA haplotype data from hypervariable regions I and II (HVI and HVII) have been compiled from Apaches (N=180) and Navajos (N=146). The inclusion of HVII data increases the amount of information that can be obtained from low diversity population groups. Less mtDNA variation was observed in the Apaches and Navajos than in major population groups. The majority of the mtDNA sequences were observed more than once; only 17.8% (32/180) of the Apache sequences and 25.8% of the Navajo sequences were observed once. Most of the haplotypes in Apaches and Navajos fall into the A and B haplogroups. Although a limited number of haplogroups were observed, both sample populations exhibit sufficient variation for forensic mtDNA typing. Genetic diversity was 0.930 in the Apache sample and 0.963 in the Navajo sample. The random match probability was 7.48% in the Apache sample and 4.40% in the Navajo sample. The average number of nucleotide differences between individuals in a database is 9.0 in the Navajo sample and 7.7 in the Apache sample. The data demonstrate that mtDNA sequencing can be informative in forensic cases where Native American population data are used.

Salmonella enterica subsp. enterica serovar Cubana ( Salmonella serovar Cubana) is associated with human and animal disease. Here, we used third-generation, single-molecule, real-time DNA sequencing to determine the first complete genome sequence of Salmonella serovar Cubana CFSAN002050, which was isolated from fresh alfalfa sprouts during a multistate outbreak in 2012.

Salmonella enterica subspecies enterica serotype Newport is one of the common serotypes causing foodborne salmonellosis outbreaks in the United States. Salmonella Newport consists of three lineages exhibiting extensive genetic diversity. Due to the importance of Salmonella pathogenicity islands 5 and 6 (SPI-5 and SPI-6) in virulence of pathogenic Salmonella, the genetic diversity of these two SPIs may relate to different potentials of Salmonella Newport pathogenicity. Most Salmonella Newport strains from North America belong to Salmonella Newport lineages II and III. A total 28 Salmonella Newport strains of lineages II and III from diverse sources and geographic locations were analyzed, and 11 additional Salmonella genomes were used as outgroup in phylogenetic analyses. SPI-5 was identified in all Salmonella Newport strains and 146 single nucleotide polymorphisms (SNPs) were detected. Thirty-nine lineage-defining SNPs were identified, including 18 nonsynonymous SNPs. Two 40-kb genomic islands (SPI5-GI1 and SPI5-GI2) encoding bacteriophage genes were found between tRNA-ser and pipA. SPI5-GI1 was only present in Salmonella Newport multidrug-resistant strains of lineage II. SPI-6 was found in all strains but three Asian strains in Salmonella Newport lineage II, whereas the three Asian strains carried genomic island SPI6-GI1 at the same locus as SPI-6 in other Salmonella. SPI-6 exhibited 937 SNPs, and phylogenetic analysis demonstrated that clustering of Salmonella Newport isolates was a reflection of their geographic origins. The sequence diversity within SPI-5 and SPI-6 suggests possible recombination events and different virulence potentials of Salmonella Newport. The SNPs could be used as biomarkers during epidemiological investigations.

Vibrio parahaemolyticus is the leading cause of food-borne illnesses associated with the consumption of raw shellfish worldwide. Here, we report 45 draft genomes of V. parahaemolyticus . Thirty-five of them are strains that were isolated from clinical cases in the state of Maryland from 2010 to 2013. The remaining 10 strains were historical isolates, isolated mostly from the West Coast of the United States during the period of 1988 to 2004. The availability of these genomes will allow for future phylogenetic analyses with other V. parahaemolyticus strains.

Next-generation sequencing is being evaluated for use with food-borne illness investigations, especially when the outbreak strains produce patterns that cannot be discriminated from non-outbreak strains using conventional procedures. Here we report complete genome assemblies of two Salmonella enterica serovar Heidelberg strains with a common pulsed-field gel electrophoresis pattern isolated during an outbreak investigation.

SUMMARYSalmonella enterica commonly colonizes the intestinal tract of cattle and is a leading cause of foodborne illness. A previously described investigation into the prevalence of S. enterica on a dairy farm revealed an 8-year-long asymptomatic S. enterica epidemic caused by serotypes Cerro and Kentucky in the lactating herd. To investigate the source of the S. Kentucky strains, the genomes of two S. Kentucky isolates were sequenced; one collected prior to the epidemic (2004) and one collected during the epidemic (2010). Comparative genomic analysis demonstrated significant polymorphisms between the two strains. PCR primers targeting unique and strain-specific regions were developed, and screening of the archived isolates identified the index case of the asymptomatic S. Kentucky epidemic as a heifer that was raised off-site and transported onto the study farm in 2005. Analysis of isolates collected from all heifers brought onto the farm demonstrated frequent re-introduction of clones of the epidemic strain suggesting transmission of pathogens between farms might occur repeatedly.

Phage typing has been used for the epidemiological surveillance of Salmonella enterica serovar Enteritidis for over 2 decades. However, knowledge of the genetic and evolutionary relationships between phage types is very limited, making differences difficult to interpret. Here, single nucleotide polymorphisms (SNPs) identified from whole-genome comparisons were used to determine the relationships between some S . Enteritidis phage types (PTs) commonly associated with food-borne outbreaks in the United States. Emphasis was placed on the predominant phage types PT8, PT13a, and PT13 in North America. With >89,400 bp surveyed across 98 S . Enteritidis isolates representing 14 distinct phage types, 55 informative SNPs were discovered within 23 chromosomally anchored loci. To maximize the discriminatory and evolutionary partitioning of these highly homogeneous strains, sequences comprising informative SNPs were concatenated into a single combined data matrix and subjected to phylogenetic analysis. The resultant phylogeny allocated most S . Enteritidis isolates into two distinct clades (clades I and II) and four subclades. Synapomorphic (shared and derived) sets of SNPs capable of distinguishing individual clades/subclades were identified. However, individual phage types appeared to be evolutionarily disjunct when mapped to this phylogeny, suggesting that phage typing may not be valid for making phylogenetic inferences. Furthermore, the set of SNPs identified here represents useful genetic markers for strain differentiation of more clonal S . Enteritidis strains and provides core genotypic markers for future development of a SNP typing scheme with S . Enteritidis.

We report a closed genome of Salmonella enterica subsp. enterica serovar Javiana ( S . Javiana). This serotype is a common food-borne pathogen and is often associated with fresh-cut produce. Complete (finished) genome assemblies will support pilot studies testing the utility of next-generation sequencing (NGS) technologies in public health laboratories.

Here, we report draft genome sequences of 26 isolates of Salmonella enterica subsp. enterica , representing eight serotypes, which were isolated from cows in a Pennsylvania dairy herd, the farm on which they were reared, and the associated off-site heifer-raising facility over an 8-year sampling period.

Despite numerous studies, there is no single accepted hypothesis of eutherian ordinal relationships. Among the least understood mammalian orders is the group Insectivora. Currently, molecular and morphological data are in conflict over the possible monophyly of the living members of Insectivora (lipotyphlans), and the relationships within the group remain largely unresolved. One of the primary criticisms concerning molecular analyses is the noticeable lack of data from a well-sampled group of lipotyphlan insectivores. The mitochondrial 12S rRNA gene has been widely used to resolve interordinal and intraordinal relationships across a variety of mammalian taxa. This study compares 118 complete mammalian 12S rRNA sequences, representing all of the 18 eutherian orders and 3 metatherian orders, and includes as well taxa from each of the six families of lipotyphlan insectivores. Insectivoran lineages are thought to have diverged concurrently with the general radiation of mammalian orders. This study suggests that the 12S rRNA sequences lack the ability to resolve relationships extending into this period. This would explain the polyphyly, unusual affinities, and low support derived in this and other studies employing 12S rRNA sequences to diagnose relationships among eutherian orders. The results of these analyses suggest that even extensive taxon sampling is insufficient to provide well supported groups among eutherian orders. Additional genes and species sampling will be necessary to elucidate whether the Insectivora form a monophyletic group.

Mitochondrial protein coding genes were combined into a single matrix that included the 13 protein coding genes for 22 mammals, resulting in 11,448 characters each, or more than a quarter of a million base pairs of mitochondrial sequence. This matrix was examined for three separate a priori weighting strategies, including equal weighting, transversion weighting, and codon weighting. The incongruence length difference test obtained a significant value for equally weighted data and for one of our differentially weighted analyses. Thus, in one case, transversion only, weighting did effect previously incongruent data matrices, making them congruent. The tree produced for the various weighting strategies was identical in all of the treatments. These results support the conclusion that a priori weighting schemes should not be used to remove incongruence (presumably one does not want to introduce incongruence), but instead a simultaneous analysis strategy which includes treating all of the data equally weighted should be considered.

The relationships within the superorder Archonta, which contains the orders Dermoptera (flying lemurs), Scandentia (tree shrews), Chiroptera (bats), and Primates, were examined through the analysis of five newly derived and complete mitochondrial 12S rRNA sequences. The new data is combined with 83 additional known mammalian sequences to provide a full phylogenetic sampling. Phylogenetic hypotheses are generated using PAUP 3.1.1 (Swofford [1993] Illinois Natural History Survey, Champaign, IL) through analyses of all characters equally weighted, transversions only, and the effect of alignment gaps on phylogeny. The Parsimony Jackknifer (Farris et al. [1996] Cladistics 12:99–124) was used to assess the level of ambiguity present in the sequence data, and therefore the strength of the tree topologies. The conclusions of Springer and Douzery (1996, J. Mol. Evol. 43:357–373) which states that 12S rRNA is reliable to a time depth of 100 mya is unsupported by these analyses. The usefulness of 12S rRNA to aid in solving Archonta relationships and others of similar time depth is found to be suspect. Am J Phys Anthropol 107:225–241, 1998. © 1998 Wiley-Liss, Inc.

Hrp(hypersensitivity response and pathogenicity) genes encode signal-peptide independent transporter molecules that function in the Type III secretion pathway and are present in a number of plant pathogenic bacterial species. These Hrp transporter molecules largely export harpin and other virulence factors across the bacterial membrane and onto theHrploci are part of a largerlcrD family which encode the low calcium response proteins. Members of this family serve to transport a number of diverse virulence factors in a variety of enteric and other purple bacteria species both pathogenichrp-induced pathogenicity by different plant pathogenic bacterial species is the result of a single evolutionary event or evolved independently, cladistic analyses were performedlcrD gene family. The results of these studieslcrD orhrpgeneslcrD homologues which comprised the other twohrptransporter genes do not capture the phylogenetic history of their host bacteriallcrD gene was horizontally introduced into each of four different plant pathogenic species which may have resulted from four independent transfer events. This monophyletic partitioning ofhrpgenes precludes their use as reliable taxonomic markers while further supporting the current notion thathrptransport

Hrp(hypersensitivity response and pathogenicity) genes encode signal-peptide independent transporter molecules that function in the Type III secretion pathway and are present in a number of plant pathogenic bacterial species. These Hrp transporter molecules largely export harpin and other virulence factors across the bacterial membrane and onto theHrploci are part of a largerlcrD family which encode the low calcium response proteins. Members of this family serve to transport a number of diverse virulence factors in a variety of enteric and other purple bacteria species both pathogenichrp-induced pathogenicity by different plant pathogenic bacterial species is the result of a single evolutionary event or evolved independently, cladistic analyses were performedlcrD gene family. The results of these studieslcrD orhrpgeneslcrD homologues which comprised the other twohrptransporter genes do not capture the phylogenetic history of their host bacteriallcrD gene was horizontally introduced into each of four different plant pathogenic species which may have resulted from four independent transfer events. This monophyletic partitioning ofhrpgenes precludes their use as reliable taxonomic markers while further supporting the current notion thathrptransport.

Salmonella enterica subsp. enterica serovar Typhimurium is a leading cause of salmonellosis. Here, we report a closed genome sequence, including sequences of 3 plasmids, of Salmonella serovar Typhimurium var. 5− CFSAN001921 (National Antimicrobial Resistance Monitoring System [NARMS] strain ID N30688), which was isolated from chicken breast meat and shows resistance to 10 different antimicrobials. Whole-genome and plasmid sequence analyses of this isolate will help enhance our understanding of this pathogenic multidrug-resistant serovar.

Aminoglycoside resistance in Campylobacter has been routinely monitored in the United States in clinical isolates since 1996 and in retail meats since 2002. Gentamicin resistance first appeared in a single human isolate of Campylobacter coli in 2000 and in a single chicken meat isolate in 2007, after which it increased rapidly to account for 11.3% of human isolates and 12.5% of retail isolates in 2010. Pulsed-field gel electrophoresis analysis indicated that gentamicin-resistant C. coli isolates from retail meat were clonal. We sequenced the genomes of two strains of this clone using a next-generation sequencing technique in order to investigate the genetic basis for the resistance. The gaps of one strain were closed using optical mapping and Sanger sequencing, and this is the first completed genome of C. coli . The two genomes are highly similar to each other. A self-transmissible plasmid carrying multiple antibiotic resistance genes was revealed within both genomes, carrying genes encoding resistance to gentamicin, kanamycin, streptomycin, streptothricin, and tetracycline. Bioinformatics analysis and experimental results showed that gentamicin resistance was due to a phosphotransferase gene, aph(2″)-Ig , not described previously. The phylogenetic relationship of this newly emerged clone to other Campylobacter spp. was determined by whole-genome single nucleotide polymorphisms (SNPs), which showed that it clustered with the other poultry isolates and was separated from isolates from livestock.

Here, we report draft genomes of Paenibacillus alvei strains A6-6i and TS-15, which were isolated, respectively, from plant material and soil in the Virginia Eastern Shore (VES) tomato growing area. An array of genes related to antimicrobial biosynthetic pathways have been identified with whole-genome analyses of these strains.

Shiga toxin-producing Escherichia coli (STEC) causes severe illness in humans, including hemorrhagic colitis and hemolytic uremic syndrome. A parallel evolutionary model was proposed in which E. coli strains of distinct phylogenies independently integrate Shiga toxin-encoding genes and evolve into STEC. We report the draft genomes of two emerging non-O157 STEC strains.

A polymerase chain reaction (PCR)-mass spectroscopy assay was developed to identify non-O157 Shiga toxin-producing Escherichia coli (STEC) with Plex-ID biosensor system, a platform identifying short PCR amplicons by specific base compositions. This assay simultaneously amplifies five fragments of two housekeeping genes, two subunits of stx2 gene, and four other virulence genes of STEC. A total of 164 well-characterized STEC isolates were examined with the assay to build a DNA base composition database. Another panel of 108 diverse STEC isolates was tested with the established database to evaluate the assay's identification capability. Among the 108 isolates, the assay specificity was 100% for three (stx1, eae, and aggA) out of five tested virulence genes, but 99% for stx2 and 96% for hlyA, respectively. Main stx1/stx2 subtypes and multiple alleles of stx1/stx2 could be differentiated. The assay successfully identified several clinically significant serotypes, including O91:H14, O103:H25, O145:H28/NM, O113:H21, and O104:H4. Meanwhile, it was able to group isolates with different levels of pathogenic potential. The results suggest that this high-throughput method may be useful in clinical and regulatory laboratories for STEC identification, particularly strains with increased pathogenic potential.

Salmonellosis contributes significantly to the public health burden globally. Salmonella enterica serotype Newport is among Salmonella serotypes most associated with food-borne illness in the United States and China. It was thought to be polyphyletic and to contain different lineages. We report draft genomes of four S . Newport strains isolated from humans in China.

Salmonellosis has been one of the major contributors to the global public health burden. Salmonella enterica serotype Agona has ranked among the top 10 and top 20 most frequent Salmonella serotypes isolated from human sources in China and the United States, respectively. We report draft genomes of three S. Agona strains from China.

Salmonella Newport has ranked in the top three Salmonella serotypes associated with foodborne outbreaks from 1995 to 2011 in the United States. In the current study, we selected 26 S. Newport strains isolated from diverse sources and geographic locations and then conducted 454 shotgun pyrosequencing procedures to obtain 16–24 × coverage of high quality draft genomes for each strain. Comparative genomic analysis of 28 S. Newport strains (including 2 reference genomes) and 15 outgroup genomes identified more than 140,000 informative SNPs. A resulting phylogenetic tree consisted of four sublineages and indicated that S. Newport had a clear geographic structure. Strains from Asia were divergent from those from the Americas. Our findings demonstrated that analysis using whole genome sequencing data resulted in a more accurate picture of phylogeny compared to that using single genes or small sets of genes. We selected loci around the mutS gene of S. Newport to differentiate distinct lineages, including those between invH and mutS genes at the 3′ end of Salmonella Pathogenicity Island 1 (SPI-1), ste fimbrial operon, and Clustered, Regularly Interspaced, Short Palindromic Repeats (CRISPR) associated-proteins (cas). These genes in the outgroup genomes held high similarity with either S. Newport Lineage II or III at the same loci. S. Newport Lineages II and III have different evolutionary histories in this region and our data demonstrated genetic flow and homologous recombination events around mutS. The findings suggested that S. Newport Lineages II and III diverged early in the serotype evolution and have evolved largely independently. Moreover, we identified genes that could delineate sublineages within the phylogenetic tree and that could be used as potential biomarkers for trace-back investigations during outbreaks. Thus, whole genome sequencing data enabled us to better understand the genetic background of pathogenicity and evolutionary history of S. Newport and also provided additional markers for epidemiological response.

Comparative methods for analyzing whole genome sequence (WGS) data enable us to assess the genetic information available for reconstructing the evolutionary history of pathogens. We used the comparative approach to determine diagnostic genes for Salmonella enterica subspecies I. S. enterica subsp. I strains are known to infect warm-blooded organisms regularly while its close relatives tend to infect only cold-blooded organisms. We found 71 genes gained by the common ancestor of Salmonella enterica subspecies I and not subsequently lost by any member of this subspecies sequenced to date. These genes included many putative functional phenotypes. Twenty-seven of these genes are found only in Salmonella enterica subspecies I; we designed primers to test these genes for use as diagnostic sequence targets and data mined the NCBI Sequence Read Archive (SRA) database for draft genomes which carried these genes. We found that the sequence specificity and variability of these amplicons can be used to detect and discriminate among 317 different serovars and strains of Salmonella enterica subspecies I.

The ability to detect a specific organism from a complex environment is vitally important to many fields of public health, including food safety. For example, tomatoes have been implicated numerous times as vehicles of foodborne outbreaks due to strains of Salmonella but few studies have ever recovered Salmonella from a tomato phyllosphere environment. Precision of culturing techniques that target agents associated with outbreaks depend on numerous factors. One important factor to better understand is which species co-enrich during enrichment procedures and how microbial dynamics may impede or enhance detection of target pathogens. We used a shotgun sequence approach to describe taxa associated with samples pre-enrichment and throughout the enrichment steps of the Bacteriological Analytical Manual's (BAM) protocol for detection of Salmonella from environmental tomato samples. Recent work has shown that during efforts to enrich Salmonella (Proteobacteria) from tomato field samples, Firmicute genera are also co-enriched and at least one co-enriching Firmicute genus (Paenibacillus sp.) can inhibit and even kills strains of Salmonella. Here we provide a baseline description of microflora that co-culture during detection efforts and the utility of a bioinformatic approach to detect specific taxa from metagenomic sequence data. We observed that uncultured samples clustered together with distinct taxonomic profiles relative to the three cultured treatments (Universal Pre-enrichment broth (UPB), Tetrathionate (TT), and Rappaport-Vassiliadis (RV)). There was little consistency among samples exposed to the same culturing medias, suggesting significant microbial differences in starting matrices or stochasticity associated with enrichment processes. Interestingly, Paenibacillus sp. (Salmonella inhibitor) was significantly enriched from uncultured to cultured (UPB) samples. Also of interest was the sequence based identification of a number of sequences as Salmonella despite indication by all media, that samples were culture negative for Salmonella. Our results substantiate the nascent utility of metagenomic methods to improve both biological and bioinformatic pathogen detection methods. Published version