Comparative Genomic Hybridization Analysis of <i>Yersinia enterocolitica</i> and <i>Yersinia pseudotuberculosis</i> Identifies Genetic Traits to Elucidate Their Different Ecologies

Jaakkola, Kaisa; Somervuo, Panu; Korkeala, Hannu

doi:https://doi.org/10.1155/2015/760494

BioMed Research International

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Abstract Introduction Materials and Methods Results Discussion Conclusions Acknowledgments Supplementary Materials References Copyright Related Articles

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Epidemiology, Detection, and Control of Foodborne Microbial Pathogens

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Volume 2015 | Article ID 760494 | https://doi.org/10.1155/2015/760494

Comparative Genomic Hybridization Analysis of Yersinia enterocolitica and Yersinia pseudotuberculosis Identifies Genetic Traits to Elucidate Their Different Ecologies

Kaisa Jaakkola,¹Panu Somervuo,¹and Hannu Korkeala¹

Academic Editor: Miguel Prieto

Received02 Apr 2015

Accepted28 Sept 2015

Published28 Oct 2015

Abstract

Enteropathogenic Yersinia enterocolitica and Yersinia pseudotuberculosis are both etiological agents for intestinal infection known as yersiniosis, but their epidemiology and ecology bear many differences. Swine are the only known reservoir for Y. enterocolitica 4/O:3 strains, which are the most common cause of human disease, while Y. pseudotuberculosis has been isolated from a variety of sources, including vegetables and wild animals. Infections caused by Y. enterocolitica mainly originate from swine, but fresh produce has been the source for widespread Y. pseudotuberculosis outbreaks within recent decades. A comparative genomic hybridization analysis with a DNA microarray based on three Yersinia enterocolitica and four Yersinia pseudotuberculosis genomes was conducted to shed light on the genomic differences between enteropathogenic Yersinia. The hybridization results identified Y. pseudotuberculosis strains to carry operons linked with the uptake and utilization of substances not found in living animal tissues but present in soil, plants, and rotting flesh. Y. pseudotuberculosis also harbors a selection of type VI secretion systems targeting other bacteria and eukaryotic cells. These genetic traits are not found in Y. enterocolitica, and it appears that while Y. pseudotuberculosis has many tools beneficial for survival in varied environments, the Y. enterocolitica genome is more streamlined and adapted to their preferred animal reservoir.

1. Introduction

Enteropathogenic Yersinia is the third most common cause of bacterial enteritis in European countries, even though a statistically significant decreasing 5-year trend in yersiniosis cases has been reported in the EU [1]. Infection is usually foodborne, with symptoms ranging from self-limiting diarrhea to reactive arthritis or erythema nodosum [2]. Yersinia are Gram-negative rods belonging to Enterobacteriaceae. Enteropathogenic Yersinia diverged around 41–185 million years ago, while the third human pathogenic species of Yersinia genus, the infamous Yersinia pestis, is a relatively recent clone of Yersinia pseudotuberculosis [3]. The evolution of enteropathogenic Yersinia is thought to have included multiple distinct ecological specializations that have separated the pathogenic strains from environmental, nonpathogenic lineages. This current hypothesis of parallel evolution [4] rejects the previous one suggesting that all pathogenic Yersinia species share a common pathogenic ancestor [5].

Enteropathogenic Yersinia enterocolitica and Y. pseudotuberculosis cause similar infections, but their epidemiology and ecology appear to differ in many aspects. Both Y. enterocolitica and Y. pseudotuberculosis have been isolated from swine or pork, and yersiniosis has been associated with the consumption of uncooked pork [6–8]. Traditionally, most cases of yersiniosis are thought to occur sporadically, and cases caused by Y. enterocolitica are mostly associated with pork products [7, 9–11]. In rare cases, the source of human infection has been traced back, for example, to milk, poultry meat, and ready-to-eat salad [12–14]. Within recent decades, several widespread outbreaks caused by Y. pseudotuberculosis have been reported in Finland [15–18]. The sources of the infections have been traced back to fresh produce, such as iceberg lettuce [15] and grated carrots [18–20]. The epidemic strain involved in an outbreak caused by raw carrots was also recovered from the field and production line [19]. The genetic traits underlying the observed epidemiological differences remain poorly understood.

Research has shown that the prevalence of Y. enterocolitica in swine is notably higher than that of Y. pseudotuberculosis, and swine are the only reservoir from which Y. enterocolitica 4/O:3 strains have regularly been isolated [2, 25–27]. The most common cause of Y. enterocolitica infection in humans in Africa, Europe, Japan, and Canada is Y. enterocolitica 4/O:3. Bioserotype 4/O:3 is considered as an emerging pathogen, while the prevalence of the second most common pathogenic bioserotype, Y. enterocolitica 1B/O:8, is diminishing [2, 10, 28, 29]. Extensive research has been carried out to uncover the virulence factors of Y. enterocolitica and its different serotypes [30–35], and the virulence factors explaining the swine specificity of Y. enterocolitica serotype O:3 were recently identified [22, 36]. The differences in virulence gene expression patterns alter the surface adhesion properties and cytokine production profiles of O:3 strains and thus probably permit the asymptomatic infection and long-term colonization of the nasopharynx and intestine of swine [22].

Pathogenic and nonpathogenic Y. enterocolitica strains are frequently found from wildlife samples such as water fowl and hares, but pathogenic strains have rarely been isolated from soil or water [2, 8, 37]. Y. pseudotuberculosis strains have been isolated from a variety of sources, including fresh vegetables and wild animals, and contrary to Y. enterocolitica, all strains are considered pathogenic [8, 15–17, 38]. Despite the frequent presence of Y. pseudotuberculosis in environmental samples, its reservoir is considered to be wildlife [38, 39].

A comparative genomic hybridization (CGH) analysis with a DNA microarray based on three Y. enterocolitica and four Y. pseudotuberculosis genomes was conducted to shed light on the genetic traits and ecological specializations explaining the epidemiological differences between enteropathogenic Yersinia. Our hypothesis was that the genomes would contain operons elucidating the ways in which Y. enterocolitica has adapted to its mammal hosts and the ecology of Y. pseudotuberculosis. The strains hybridized on the microarray were isolated from human, animal, and environmental samples.

The hybridization results revealed that Y. pseudotuberculosis strainscarry many operons linked with the uptake of carbohydrates and use of aromatic substances that are absent from Y. enterocolitica. Phenolic compounds, polyamines, myoinositol, and aliphatic sulfonates are all substrates that are not commonly present in living animal tissue, but more abundant in plants and the soil environment. Y. pseudotuberculosis also harbors an array of different types of type VI secretion systems (T6SSs), in contrast to just one found in the Y. enterocolitica genome. These T6SSs are likely to provide defense against other bacteria and single-celled organisms in the environment.

2. Materials and Methods

2.1. Bacterial Strains for Hybridization

A total of 60 Y. enterocolitica and 38 Y. pseudotuberculosis strains isolated from a variety of geographic locations and sources were used in this study (Table S1 in Supplementary Material available online at http://dx.doi.org/10.1155/2015/760494). The strains were selected to represent the different biotypes and serotypes of enteropathogenic Yersinia, and also included were three strains (Y. enterocolitica subsp. enterocolitica 8081, Y. enterocolitica subsp. palearctica Y11 [DSM 13030], and Y. pseudotuberculosis IP32953) used in the microarray design. These three strains were used as reference strains and as positive hybridization controls. The reference strains and one additional strain were hybridized in quadruplicate to assess the reproducibility of the hybridizations. The reference strains produced positive hybridization signals with 99.4–99.9% of the probes designed to hybridize with their sequences.

In total, 41 strains represented the most common pathogenic Y. enterocolitica bioserotype 4/O:3. The majority (79/98) of the strains had been isolated from swine or from swine slaughterhouses. The rest of the strains () were isolated from human patients, wild birds, and other animals.

2.2. DNA Microarrays

The DNA microarrays were designed based on seven genomes and 14 plasmid sequences (Table S2) obtained from the NCBI database. 29,786 sequences were clustered into 11,564 gene groups by Cd-hit-est [41]. The threshold value of identity was set to 95% with minimum alignment of at least 80% of the longer sequence. Stringent clustering parameters were chosen to avoid problems with uncomplimentary probes in the probe design. With these parameters, the number of unique sequences (gene groups containing a sole sequence) amounted to 3747.

One 45–60-mer probe was designed for each gene group (). Thirteen gene groups containing a total of 14 sequences were excluded from the probe design because of redundancy. The longest gene sequences were over 10,000 bases long (), and for these a tiling method was used for the design of extra probes (10 per sequence). All probes were designed using Agilent Technologies Gene Expression Probe Design. Each of the eight subarrays of Agilent K custom arrays (Agilent, Santa Clara, CA, USA) contained an equal set of 11,661 probes.

2.3. Hybridization and Washes

Genomic DNA was isolated using a method described by Pitcher et al. [42]. A total of 500 ng of genomic DNA from each Yersinia strain was fluorescently labeled with the BioPrime ArrayCGH labeling module (Invitrogen, Carlsbad, CA, USA) using either Cy3 or Cy5 (GE Healthcare, Buckinghamshire, UK). For each hybridization, one Cy3-labeled and one Cy5-labeled DNA sample were combined. The mixture was purified with a DNA purification kit (QIAquick PCR Purification Kit, Qiagen, Hilden, Germany) according to the manufacturer’s instructions. The concentration of DNA and the incorporation of the dye were checked with the Nanodrop device (Nanodrop Technologies, Wilmington, MA, USA) before and after labeling. The differently labeled DNA sample pairs to be hybridized into one of the eight subarrays on each array slide were randomly selected.

A volume of 2.2 μL salmon sperm DNA (1 mg/mL) was added to 17.8 μL of labeled combined sample solution, and the mixture was heated at 95°C for 2 minutes for denaturation. A volume of 5 μL of 10x blocking agent (Agilent) and 25 μL of 2xGE (HI-RPI) hybridization buffer (Agilent) was added. A total of 45 μL of the solution was hybridized on each microarray at 65°C for 16 hours. The arrays were washed twice for 1 minute with Wash Buffer 1 (Agilent) and then for 1 minute with prewarmed Wash Buffer 2 (Agilent).

2.4. Scanning and Data Analysis

The CGH data analysis followed the routines set by Lindström et al. [43] and Lahti et al. [44]. The slides were scanned (Axon Genepix Autoloader 4200 AL, Molecular devices Inc., Sunnyvale, California, USA) with a resolution of 5 μm. Images were processed and manually checked using GenePix Pro 6.0/6.1 software. For data analysis, R software and the LIMMA package were used [40, 45]. For background correction, the normexp algorithm (offset 50) was applied [46].

The distribution of logarithmic signal intensities formed two clear peaks in all hybridizations and a method conforming the positions of these density peaks was used to normalize the hybridization data. Standard normalization methods for microarrays are unsuited for CGH data since the distribution of intensities between different hybridizations cannot be assumed to be thesame. Conforming the positions of density peaks is based on an assumptionthat all hybridizations exhibit high densities of both positive andnegative hybridization signals but does not alter the distribution patternof intensities. By positive and negative hybridization signals, we here mean signals representing present and absent/divergent genes, that is, high and low intensity signals, respectively. Visualization and clustering of data were conducted using MEV [47].

The distribution of logarithmic signal intensities was also used to set a threshold between the intensity peaks (lowest point of density) separately for each hybridization. This threshold was used to classify the probes and the corresponding genes as present, absent, or diverged in each strain. Intensity values of the threshold value ±0.3 were classified as diverged. The number of probes classified as “diverged” varied from 0 to 2 in all hybridizations, and these probes were considered as absent in further data analysis.

The data discussed in this paper are compliant with the MIAME guidelines and were deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number GSE67565 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE67565).

2.5. Phylogenetic Analysis of Type VI Secretion System Sequences

Phylogenetic analysis similar to analysis described by Schwarz et al. [48] was performed on VipA sequences stored in the NCBI database and annotated to TIGR category COG3516 (). This TIGR sequence pool was supplemented by sequences annotated as VipA in Y. pseudotuberculosis IP32953 (), B. thailandensis (), P. aeruginosa (), Y. enterocolitica Y11 (), and Y. enterocolitica 8081 (). In total, 206 VipA sequences were aligned using MUSCLE [49] and the resulting alignment was visualized with BioNJ [50].

2.6. Orthologous Genes

Reciprocal Blast searches were performed to identify the bidirectional best hits between the genomes used in microarray design. Any bidirectional best hit identified was assumed to represent an orthologous gene pair [51]. Information on orthologous gene pairs was used as an aid in the interpretation of the microarray data.

3. Results

CGH analysis of 60 Y. enterocolitica and 38 Y. pseudotuberculosis strains was conducted with a DNA microarray based on three Y. enterocolitica and four Y. pseudotuberculosis genomes to shed light on genomic differences between enteropathogenic Yersinia. Y. enterocolitica strains and Y. pseudotuberculosis strains grouped into two distinct clusters (Figure 1). Y. enterocolitica strains belonging to four different biotypes formed distinct subclusters within the Y. enterocolitica group. Strains belonging to Y. enterocolitica biotype 2 or 3 () clustered together (Figure 1). The distance between strains, based on Pearson’s correlation on a scale from 0 to 2 (0 indicating identical samples), was 0.25 between Y. enterocolitica biotypes 2–4 and biotypes 1A and 1B. Within the Y. pseudotuberculosis group, the distance was 0.15. The distance between Y. enterocolitica and Y. pseudotuberculosis group was 1.36.

Figure 1

Yersinia enterocolitica and Yersinia pseudotuberculosis strains group into two distinct clusters and Y. enterocolitica strains belonging to four different biotypes form distinct subclusters within the Y. enterocolitica group. The majority of Y. pseudotuberculosis strains obtained from swine samples cluster separately (“swine group”) from strains obtained from human and wildlife samples (“diverse group”). The diverse group of Y. pseudotuberculosis also includes some strains isolated from English swine. Hierarchical clustering was constructed using R [40].

All hybridized strains produced positive signals on 459 probes, which is the equivalent of 320–360 genes depending on reference genome used. This means that around 8% of the genome is fully conserved across the two species. In the seven genomes used in array design, the core genome based on bidirectional best hits contained 2772 sequences, implying that 68–76% of genes in each sequenced genome have orthologous equivalents in the rest.

Comparing the 320 shared probes in hybridization results and 2772 in orthologous gene pairs, it becomes clear just how sensitive microarray hybridization is as a research method. Out of the 3547 probes (gene clusters) deemed present in all Y. enterocolitica strains, 1130 did not show a positive hybridization signal in any Y. pseudotuberculosis strain and were thus considered specific for Y. enterocolitica (Table S3). When these 1130 gene clusters were further pruned using the information on orthologous gene pairs, only 448 gene clusters remained truly specific for Y. enterocolitica. Similarly, in the Y. pseudotuberculosis group, 906 gene clusters were deemed conserved and specific (Table S3). Y. enterocolitica bioserotype 4/O:3 strains () shared 51 gene clusters that were only extant in strains of this bioserotype. This represents around 1% of genes in the sequenced Y. enterocolitica 4/O:3 genome Y11.

Y. pseudotuberculosis strains shared three large operons coding type VI secretion systems that were missing from Y. enterocolitica strains. Y. pseudotuberculosis strains also shared a variety of gene clusters that based on their annotation are likely to be involved in the use and/or uptake of various substrates, including phenolic compounds, rhamnose, xylose, myoinositol, opines/polyamines, and aliphatic sulfonates (Table 1). Y. enterocolitica strains share six ATP-binding cassette (ABC) transporters and seven phosphotransferase systems (PTS) that are all absent from Y. pseudotuberculosis strains (Table 1). In addition, the Y. enterocolitica strains, excluding the highly virulent 1B strains, carry an operon involved in the utilization of N-acetylgalactosamine. Y. pseudotuberculosis strains share 18 ABC transporters and 2 PTS transporters that are absent from Y. enterocolitica strains.

Phylogenetic analysis of the different T6SSs shows that three distinct types of T6SS are present in Y. pseudotuberculosis (Figure 2). One type present in two copies in Y. pseudotuberculosis (CAH19881.1, CAH21904.1 in Y. pseudotuberculosis IP32953) is present in one copy in Y. enterocolitica genomes (CAL12724.1 in strain 8081) and bears strong similarity to several T6SSs found in other bacteria. These include H1-T6SS found in Pseudomonas aeruginosa and four T6SSs found in Burkholderia thailandensis. Copies of the second type of T6SS (CAH20722.1 and CAH22490.1 in Y. pseudotuberculosis IP32953) clustered together with uncharacterized T6SSs found in Y. pestis (Figure 2). The function of T6SSs belonging to this type is unknown. The third distinct type of T6SS identified in Y. pseudotuberculosis genomes (CAH22876.1 in IP32953) shared strong similarity with the T6SSs of Vibrio cholerae and B. thailandensis, which are both considered to have cytotoxic effects against unicellular organisms and macrophages.

Figure 2

Phylogenetic relationships of type VI secretion systems (T6SSs) in Yersinia pseudotuberculosis and T6SSs of other species were compared to evaluate the different types of T6SS. VipA sequences were used to represent T6SS and the alignment of 206 VipA proteins is shown here as an unrooted phylogenetic tree visualized by BioNJ. Type VI secretion systems of Y. pseudotuberculosis named YPTB 1–5 belong to three distinct branches of T6SSs. T6SSs of Vibrio cholerae, Pseudomonas aeruginosa, and Burkholderia thailandensis (BTHAI 1–6) are marked on the branches of the phylogenetic tree and the one VipA/T6SS present in Y. enterocolitica is also shown.

Relatively few gene cluster differences were observed between the hybridization results of different Y. enterocolitica strains (Figure 3). These included an operon coding for type III secretion system shared by low-pathogenic Y. enterocolitica, genes involved in drug resistance, and the operon coding from O:3 antigen. Many of the other differences are annotated as putative phages or flagellar components.

The majority of Y. pseudotuberculosis strains obtained from swine samples (“swine group” in Figure 1) in Finland, Sweden, Estonia, Russia, England, and Belgium () clustered separately from human and wildlife samples (“diverse group” in Figure 1). Five of the 11 Y. pseudotuberculosis strains isolated from English pigs clustered together with the human and wildlife samples.

4. Discussion

Y. enterocolitica and Y. pseudotuberculosis strains grouped into two distinct clusters, and Y. enterocolitica strains belonging to four different biotypes formed distinct subclusters within the Y. enterocolitica group. On the gene level, the most interesting differences between Y. enterocolitica and Y. pseudotuberculosis strains included genes involved in T6SSs, the catabolism of phenolic compounds, and the transport of many carbohydrates (rhamnose, fructose, ribose, myoinositol, and xylose) and other compounds (aliphatic sulfonates, opines) (Table 1).

T6SS forms a needle-like injectisome between the bacterial cell and the target cell [52]. First described under ten years ago, T6SS is now one of the most common large specialized secretion systems found in over 120 bacteria [48, 53]. T6SSs were first considered as virulence factors, but their abundance in nonpathogenic bacteria and further studies have suggested that most of these systems play a role in interbacterial interaction and defense against competitive bacteria and unicellular organisms [54]. The mechanism requires 15 conserved genes and direct contact with other cells and is thus thought to be especially useful in the stationary growth phase [52, 55, 56]. It is notable that diverse collections of T6SSs have been reported in many environmental bacteria with facultative pathogenic potential, such as Pseudomonas aeruginosa, Burkholderia mallei, and Burkholderia pseudomallei, as well as in bacteria with multiple hosts and the ability to survive in diverse environmental conditions (Y. pestis, V. cholerae) [53, 57–60]. Y. pseudotuberculosis is also considered a facultative pathogen with multiple host species and able to persist in the environment. The genome of Y. pseudotuberculosis has four conserved systems and one smaller, perhaps partial system [55]. Only one of these systems is shared with Y. enterocolitica. The loci coding VipA protein is used to indicate the location of each T6SS. Two of the Y. pseudotuberculosis T6SSs (CAH19881.1, CAH21904.1 in IP32953) and the solitary T6SS in Y. enterocolitica (CAL12724.1 in strain 8081) group in phylogenetic analysis together with B. thailandensis T6SS (BTHAI-1) and H1-T6SS of P. aeruginosa. The latter two have been reported to target other bacteria and give some competitive advantage to the bacterium itself [48, 56]. Having this mechanism could enhance the growth of Y. pseudotuberculosis when other bacteria are present on a shared growth surface. Another T6SS (CAH22876.1 in IP32953) is similar to the T6SSs in V. cholerae and B. thailandensis, which are described as being cytotoxic against single-celled organisms and macrophages [48, 53, 61]. T6SSs like this are beneficial against protists living in the soil and water environment but are also possible pathogenicity factors. To better understand the function of each T6SS of Y. pseudotuberculosis, in vivo studies are required. Epidemiologically, T6SSs could probably help Y. pseudotuberculosis to survive and multiply in such ecological niches in the environment from which it could easily end up as a contaminant of the food chain. The lack of T6SSs in Y. enterocolitica implies that the organism in its current ecological niche has no need for them. The lack of T6SSs might actually be beneficial for the organism, as a T6SS with cytotoxic effects against the macrophages of the mammal host might encumber the invasion and survival of Y. enterocolitica cells.

Y. pseudotuberculosis strains also carry a variety of gene clusters involved in the uptake and/or utilization of various substrates (Table 1). The Hpa operon (CAH20875.1–CAH20884.1 in IP32953), also known as the 4-hydroxyphenylacetate degrading operon, is involved in the catabolism of phenolic and aromatic compounds [62, 63]. Based on database queries, Hpa sequences in Y. pseudotuberculosis are homologous to those in E. coli and Salmonella. Phenols are products of plant secondary metabolism and often have bactericidal effects. Phenols are widely present in soil and the water environment, but their abundance in the intestines of animals has also been suggested [62, 63]. Interestingly, the hpa genes are expressed in Salmonella enterica serovar Typhimurium cells during the infection in swine, and it has been suggested that the operon is somehow beneficial for enteropathogenic bacteria [64]. Evidently, the lack of an Hpa operon does not seem to hinder the prevalence of Y. enterocolitica in swine.

Both Y. enterocolitica and Y. pseudotuberculosis have many transport and uptake systems that are not present in other species. Y. enterocolitica strains share six ABC transporters and seven PTS transporters that are all absent from Y. pseudotuberculosis strains. Putative substrates for these systems include iron and metallic ions, glycosides, and lactose/cellobiose. Interestingly, one putative urea ABC transporter was noted as present in all other Y. enterocolitica strains, but absent from reference strain 8081. This highlights the benefits of having multiple reference strains.

Y. enterocolitica strains shared notably fewer specific genes () between them than Y. pseudotuberculosis strains (). This is likely to reflect the greater heterogeneity within Y. enterocolitica biotypes and the ecological adaptation of biotypes 2–5 by gene loss and genome decay [4]. Many of these specific genes were involved in transportation. Y. pseudotuberculosis strains shared 18 ABC transporters and 2 PTS transporters absent from Y. enterocolitica. Putative substrates for these systems include rhamnose, fructose, xylose, myoinositol, iron, aromatic acids, polyamines, sorbitol, sulfonates, and 7 systems for unspecified sugars. The Y. pseudotuberculosis genome appears to be equipped with many extra tools for moving substances in and out of its cell compared to the Y. enterocolitica genome, which appears more streamlined and likely to have adapted to another ecological niche, such as swine tonsils and gut, where variety in substrate transportation is not required. A recent hypothesis on the evolution of enteropathogenic Yersinia assumes that Yersinia species have evolved to become more ecologically specific and metabolically more limited to their reservoirs by genome decay and gene loss [4]. An evolutionary path such as this appears plausible, as Y. enterocolitica seems better adapted to living in a mammal host and to have lost many genes involved in survival in the environment.

The theory of genome decay and gene loss, however, does not explain the differences between Y. enterocolitica biotypes. Lipase activity, hydrolysis of B-glycosides such as salicin and esculin, use of xylose, and indole production are some of the biochemical tests belonging to Y. enterocolitica biotyping schema [2]. However, relatively few clusters of genes differentiate pathogenic and nonpathogenic Y. enterocolitica strains from each other. Recent results have identified the changes in gene expression patterns for pathogenicity factors explaining the swine specificity of Y. enterocolitica 4/O:3 [22]. It seems likely that the adaptation and differences in pathogenicity of Y. enterocolitica biotypes are due to point mutations and changes in gene expression rather than gene loss.

Y. pseudotuberculosis strains obtained from swine samples mostly clustered separately from human and wildlife samples (Figure 1). Notably, five of the 11 Y. pseudotuberculosis strains isolated from English swine clustered together with the human and wildlife samples. Niskanen et al. [39] have previously reported on the homogeneity of Y. pseudotuberculosis strains isolated from swine samples based on pulsed-field gel electrophoresis analysis. Our results further confirm this finding. Martínez et al. [25–27] noted that the prevalence and diversity of Y. pseudotuberculosis strains appears to be higher in English swine than in swine of other European countries. This finding is also supported by the present results, as 5 of the 11 English Y. pseudotuberculosis strains showed a marked genetic distance to other swine strains. In these results, no defining gene cluster setting the swine group and diverse group apart could be identified. In this type of study, the results are dependent on the reference strains used. It is important to note that because of the limitations of the method, many genes present in the studied strains might be absent from the reference genomes used and thus from the designed microarray and the further results. It would be interesting to have a wholly sequenced genome from the “swine group” of Y. pseudotuberculosis for further research on the differences between these two groups.

The high prevalence of Y. pseudotuberculosis in the English pork chain is probably explained by the more available access to outdoors of English swine compared to their continental counterparts. Swine and pork products are not considered to be a notable source of sporadic Y. pseudotuberculosis cases, and animals having greater contact with the environment are more likely to have strains of soil and wildlife origins passing through their intestines. This would also explain why some Y. pseudotuberculosis not belonging to the “swine group” of Y. pseudotuberculosis have been isolated from English swine.

5. Conclusions

The hybridization results revealed that Y. pseudotuberculosis strains carry many operons linked with the use of carbohydrates and other substrates that are absent from Y. enterocolitica. Phenolic compounds, polyamines, myoinositol, and aliphatic sulfonates are all substrates that are not commonly present in living animal tissue but are more abundant in soil and the environment. Y. pseudotuberculosis also harbors an array of different type VI secretion systems, in contrast to just one found in the Y. enterocolitica genome. Type VI secretion systems target single-celled organisms and other bacteria but are also possible pathogenicity factors. These defense and interaction systems could help Y. pseudotuberculosis to survive and multiply in such ecological niches in the environment from which it could easily end up as a contaminant of the food chain.

The Y. pseudotuberculosis genome holds many tools, such as type VI secretion systems and transporters for various substrates, which are likely to be beneficial for survival in varied growth environments and multiple host species. By comparison, the genome of Y. enterocolitica appears more streamlined and likely to have adapted to a different ecological niche where these survival systems are not needed or beneficial. For Y. enterocolitica bioserotype 4/O:3, this niche is with certainty swine.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The authors thank Päivi Lahti for advice and helpful discussions and Erika Pitkänen and Erja Merivirta for technical assistance. The work was performed in the Centre of Excellence in Microbial Food Safety Research and funded by the Academy of Finland (Grant nos. 118602 and 141140).

Supplementary Materials

Supplementary material includes the information of bacterial strains used for hybridization (Table S1), the information of sequences used for microarray design (Table S2) and a comparison of number of gene groups present, specific and unique for Yersinia pseudotuberculosis and Yersinia enterocolitica (Table S3).

Supplementary Material

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Copyright © 2015 Kaisa Jaakkola et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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