Identification of Yersinia enterocolitica at the Species and Subspecies Levels by Fourier Transform Infrared Spectroscopy

Yersinia enterocolitica and other Yersinia species, such as Y. pseudotuberculosis, Y. bercovieri, and Y. intermedia, were differentiated using Fourier transform infrared spectroscopy (FT-IR) combined with artificial neural network analysis. A set of well defined Yersinia strains from Switzerland and Germany was used to create a method for FT-IR-based differentiation of Yersinia isolates at the species level. The isolates of Y. enterocolitica were also differentiated by FT-IR into the main biotypes (biotypes 1A, 2, and 4) and serotypes (serotypes O:3, O:5, O:9, and “non-O:3, O:5, and O:9”). For external validation of the constructed methods, independently obtained isolates of different Yersinia species were used. A total of 79.9% of Y. enterocolitica sensu stricto isolates were identified correctly at the species level. The FT-IR analysis allowed the separation of all Y. bercovieri, Y. intermedia, and Y. rohdei strains from Y. enterocolitica, which could not be differentiated by the API 20E test system. The probability for correct biotype identification of Y. enterocolitica isolates was 98.3% (41 externally validated strains). For correct serotype identification, the probability was 92.5% (42 externally validated strains). In addition, the presence or absence of the ail gene, one of the main pathogenicity markers, was demonstrated using FT-IR. The probability for correct identification of isolates concerning the ail gene was 98.5% (51 externally validated strains). This indicates that it is possible to obtain information about genus, species, and in the case of Y. enterocolitica also subspecies type with a single measurement. Furthermore, this is the first example of the identification of specific pathogenicity using FT-IR.The genus Yersinia belongs to the bacterial family Enterobacteriaceae and encompasses three well-known human pathogens: Y. pestis, Y. pseudotuberculosis, and Y. enterocolitica. Pathogenic strains of Y. enterocolitica cause yersiniosis, an acute enteric disease. In Germany and Switzerland, strains of Y. enterocolitica belong to the most frequently isolated pathogens connected with bacterial gastroenteritis (27, 31). Y. enterocolitica also causes other clinical syndromes, such as enterocolitis, acute mesenteric lymphadenitis, mimicking appendicitis, postinfectious arthritis, and systemic infections (7, 21). It is assumed that the main contamination source is food of animal origin, especially pork meat or raw milk (8, 21, 27). Therefore, the focus of diagnosis for these bacteria as food-borne pathogens includes the examination of food samples in food inspection and veterinary controls of livestock.The species Y. enterocolitica sensu lato as described by Frederiksen (9) was recently subdivided into several species: Y. enterocolitica sensu stricto, Y. intermedia, Y. frederiksenii, Y. kristensenii, Y. aldovae, Y. mollaretii, Y. rohdei, and Y. bercovieri (20). The identification of Y. enterocolitica sensu stricto by traditional agar plate techniques (ISO standard 10273:2003) is complicated by the fact that on the commonly used selective agar plates, especially the cefsulodin-irgasan-novobiocin (CIN) agar, several unrelated bacteria also grow (1, 20). In addition, some Yersinia strains are inhibited by CIN agar (10). The differentiation of putative Yersinia strains isolated from the CIN agar is additionally impeded because the commonly used commercial identification systems (for example, API 20E or API Rapid 32IDE) do not include all Yersinia strains in their databases and usually misidentify them as Y. enterocolitica (12). Nevertheless, the biochemical test system API 20E is still used as an affordable tool for the identification of Y. enterocolitica. This probably results in a constant misidentification of certain Yersinia species, particularly Y. bercovieri, Y. rohdei, and Y. intermedia, as Y. enterocolitica (1, 12, 15).Y. enterocolitica sensu stricto comprises pathogenic and nonpathogenic members. The species can be grouped into various biotypes by biochemical tests and independently into different serotypes by immunological tests. Both types are connected with different pathogenic potential. The most common biotype-serotype combinations associated with human diseases were biotype 1B/serotype O:8, 2/O:5,27, 2/O:9, 3/O:3, and 4/O:3 (7). Biotype 1A is deemed to be non- or less pathogenic for humans. Biotype 1B is widespread in the United States and only rarely detected in Europe and Japan (11, 14, 26, 28). Based on different DNA-DNA hybridization values and 16S rRNA gene sequences, it was proposed to name the “American” strains Y. enterocolitica subsp. enterocolitica (19). Biotypes 2 and 4 are often isolated from yersiniosis patients, and biotype 3 seems to be pathogenic but rare (6, 21).Pathogenic strains of Y. enterocolitica harbor certain virulence factors, such as the plasmid-encoded yadA gene and the chromosomally encoded ail gene (17, 32). In contrast, apathogenic strains of Y. enterocolitica do not contain these two genes. However, the plasmid harboring the yadA gene can be lost under certain cultivation conditions in the laboratory (4). This may lead to false-negative results in any test system based on the presence of this plasmid. Therefore, the ail gene appears to be the best-suited marker for the detection of pathogenic Y. enterocolitica strains. The product of the ail gene is an adhesion and invasion factor (17). Therefore, the detection of the ail gene by PCR is used as an indication of the presence of pathogenic strains of Y. enterocolitica in selective enrichments or isolated pure cultures (33).Recently, Fourier transform infrared spectroscopy (FT-IR) has been established as a new method for identification of bacteria, yeasts, and other microorganisms (3, 16, 22, 24, 38). This method analyzes the total composition of all components of the cell using infrared spectroscopy (13, 18). The FT-IR method is rapid and reliable and therefore can be easily adapted to routine analysis. Furthermore, there accrue almost no costs for consumables during sample preparation and measurements. The technique offers a wide range of applications for differentiation at the species and subspecies levels. It has already been used for the differentiation of several food-borne pathogens, like Listeria monocytogenes (25), Escherichia coli (13), and Bacillus cereus (23, 29). Recently, promising results were obtained by combination of FT-IR and multivariate methods for data processing, in particular artificial neural networks (ANN) (25, 35).In the present work, FT-IR combined with ANN analysis was applied for classification of Yersinia strains at the species level and of Y. enterocolitica at the subspecies level. Furthermore, differentiation between pathogenic and apathogenic strains of Y. enterocolitica by FT-IR was attempted.