INTRODUCTION
Campylobacteriosis is the most commonly reported zoonosis in Switzerland and the European Union. In 2012, 214268 confirmed cases of campylobacteriosis in humans were reported in the European Union, but estimates are as high as 9 million cases [Reference Havelaar1, 2]. Campylobacter infections usually cause enteric symptoms, including diarrhoea (frequently with blood), abdominal pain, fever, headache and nausea (sometimes with vomiting). In most cases the disease is self-limiting with symptoms only lasting 3–6 days and then stopping even without treatment. However, in some cases severe complications such as Guillain–Barré syndrome or reactive arthritis can develop [Reference Nachamkin3, Reference Blaser4]. About 90% of human Campylobacter infections are due to Campylobacter jejuni, with C. coli being responsible for most of the remaining cases [Reference Niederer5].
C. jejuni and C. coli are commensals in the gastrointestinal tract of many food-production animals, but they may also be found in pets and the environment [Reference Humphrey, O'Brien and Madsen6–Reference Mughini8]. Infection can therefore occur by consumption of undercooked chicken meat, unpasteurized milk, by contaminated environmental sources and contact with pets and farm animals [2]. Affected adult animals are usually not sick but they shed the bacteria in their faeces, thus, playing a central role as a reservoir [Reference Blaser4]. According to a study in the UK, 21% of cattle shed Campylobacter in faeces with 97·7% and 2·3% thereof being C. jejuni and C. coli, respectively [Reference Sproston9]. In Switzerland in 2012 only 12·8% of cattle at slaughter were found Campylobacter positive of which 79·2% were C. jejuni and 20·8% were C. coli [10].
With regard to meat from chicken and cattle or milk, the prevalence of Campylobacter in beef is generally much lower (3·2%) compared to broilers (49·9%) and even lower in raw milk (1·6%), e.g. as shown for Ireland [Reference Whyte11]. By contrast, for Northern Italy the prevalence of Campylobacter in raw milk was estimated at 12% [Reference Bianchini12].
Source attribution studies have indicated chickens as the most important source of human campylobacteriosis [Reference McCarthy13–Reference Kittl19]. This is also illustrated by the effect the Belgian dioxin crisis had in 1999. It clearly showed the relationship between chicken consumption and campylobacteriosis in humans with a decline of 40% of campylobacteriosis cases when chicken was taken off the market [Reference Vellinga and Van20]. Moreover, cattle may be a significant reservoir for human cases [Reference Mughini21, Reference Levesque22].
Standardized and highly reproducible multilocus sequence typing (MLST) schemes have been established for C. jejuni and C. coli [Reference Dingle23, Reference Dingle24]. MLST ensures a uniform nomenclature with defined sequence types (STs) and clonal complexes (CCs) that allows for population studies. Korczak et al. [Reference Korczak25] optimized, simplified and unified MLST by multiplexing and using a minimal set of primers for amplification and sequencing. By adding flaB typing, a further distinction of identical STs could be achieved. Finally, genetic determination of antibiotic resistance against macrolides and quinolones was included in the optimized typing scheme. These resistances can be assessed by detecting point mutations in the gyrA (C257T) gene or in the 23S rRNA gene (A2074G or A2075G), which are responsible for quinolone and macrolide resistance, respectively [Reference Alfredson and Korolik26].
Up to now, no comprehensive studies regarding genotypes and antibiotic resistance of C. jejuni and C. coli have been conducted in Swiss cattle. Therefore, MLST, flaB typing and sequence-based determination of macrolide and quinolone resistance were used to characterize C. jejuni and C. coli in Swiss cattle and to determine their possible role as a reservoir of human infection.
MATERIAL AND METHODS
Strains and DNA preparation
A total of 97 C. jejuni and C. coli isolates were investigated. They included 78 isolates from healthy cows collected at slaughterhouses between 2008 and 2012 for resistance monitoring by the Federal Food Safety and Veterinary Office (FSVO), and 19 strains received from diagnostic submissions of diarrhoeic cattle suspected of salmonellosis at the Institute of Veterinary Bacteriology, Bern between January 2013 and March 2014. The isolates were stored at −80 °C until cultivation on tryptone soya agar plates with sheep blood (TSA; Becton Dickinson AG, Switzerland) for 48–72 h at 42 °C under microaerophilic conditions.
DNA template preparation was achieved using a simple lysis method. A few colonies were picked from each plate and added to 500 μl lysis buffer (0·1 m Tris–HCl, pH 8·5, 0·05% Tween-20, 240 μg/ml proteinase K), then incubated for 1 h at 60 °C followed by 15 min at 95 °C. Lysates were directly used or stored at −20 °C.
Genotyping
MLST, flaB typing as well as determination of macrolide and quinolone resistance based on partial sequences of 23S rRNA and gyrA genes, respectively, was performed according to Korczak et al. [Reference Korczak25]. Sequences were edited and analysed using the SmartGene® Campylobacter MLST platform (SmartGene, Switzerland) including a direct link to the PubMLST database (www.pubmlst.org) to automatically determined the allele number, ST and CC. The flaB sequences were directly queried on PubMLST to determine allele numbers. The 23S rRNA gene fragments were screened for the A2074G and A2075G point mutations and the gyrA gene fragments were checked for the C257T mutation.
Statistical analysis
Proportions and 95% confidence intervals (CIs) were calculated with the exact binomial model in NCSS9 software (NCSS, USA). Simpson's Index (also known as the discriminatory index) was calculated according to Hunter & Gaston [Reference Hunter and Gaston27]. Possible associations between genotypes and quinolone resistance were examined with Pearson's χ 2 test to check the null hypothesis that genotypes and quinolone resistance are independent. The significance level was set at P ⩽ 0·05. The same approach was used to examine the association between Campylobacter sp. and resistance.
Population analyses and source attribution
To assess the similarity of Swiss Campylobacter populations the proportional similarity index (PSI) was calculated as described previously [Reference Feinsinger, Spears and Poole28]. Genotypes of cattle C. jejuni and C. coli isolates based on MLST and flaB were compared with 383 human C. jejuni and C. coli isolates from cases without a record of foreign travel collected in 2009 [Reference Niederer5], 197 chicken C. jejuni and C. coli isolates collected in 2009 [Reference Kittl29], 134 dog C. jejuni isolates collected between 2003 and 2012 [Reference Amar30] and 256 pig C. coli isolates collected in 2009 [Reference Egger31]. In addition, the genetic distances between the Swiss Campylobacter populations from different sources were estimated by calculating fixation indices (F st) using the concatenated sequences of the seven MLST loci or the flaB sequences, employing Arlequin software [Reference Excoffier and Lischer32]. To assign human isolates to their most probable source based on either the MLST alleles or the flaB sequence STRUCTURE software (http://pritchardlab.stanford.edu/structure.html) was used as described previously except that the migrprior parameter was set to zero to provide a better separation between the source clusters [Reference Kittl19, Reference Pritchard, Stephens and Donnelly33].
RESULTS
Genotyping
Complete MLST and flaB sequence data was obtained from the 97 investigated isolates, comprising 75% C. jejuni (n = 73, 95% CI 66–84) and 25% C. coli (n = 24, 95% CI 17–35). A total of 37 different STs were identified in the samples, two of which were new (Table 1). These were submitted to the PubMLST database for number assignment. One of the STs was a previously unreported combination of alleles in C. jejuni (ST7135) and the other, a new allele sequence for glmM (allele 703) resulting in the new ST7134 in C. coli. The most common STs were ST21 (21%, n = 20), ST61 (12%, n = 12), ST48 (11%, n = 11) and ST854 (7%, n = 7). Twenty-six of the 37 STs were represented by single isolates. The STs were distributed over 11 CCs. The most common CCs were CC21 (29%, n = 28), CC828 (18%, n = 17), CC61 (13%, n = 13) and CC48 (12%, n = 12). The group termed ‘Not defined’ contained ten STs (11%) not associated with any CC.
Distribution of clonal complexes (CC), sequence types (ST), flaB types and antibiotic resistance in C. jejuni and C. coli isolates from cattle
n.d., Indicates STs for which no CC is defined.
The analysis of flaB sequences showed 44 different types, five of which had not been described previously (types 1640–1644). The most common flaB types were 103 (13%, n = 13), 1179 (11%, n = 11), 198 (9%, n = 9) and 36 (6%, n = 6). All flaB type 198 belonged to CC21 and all flaB type 1179 belonged to CC61, whereas for flaB type 103, three isolates belonged to CC21 and ten isolates to CC48.
Simpson's Index was 0·92 for MLST, 0·95 for flaB typing and 0·97 for the combination of both methods.
Antibiotic resistance
The majority (69%, n = 67) of isolates were sensitive to quinolones and 31% (n = 30) of isolates were resistant based on the corresponding mutation in the gyrA gene. At the species level 42% (n = 10/24) of C. coli and 27% (n = 20/73) of C. jejuni were resistant to quinolones. There was only a single C. coli isolate showing resistance towards macrolides based on mutation A2075G. This isolate was also resistant towards quinolones. The percentage of quinolone-resistant strains within the most common CCs was 43% (n = 12/28) in CC21, 35% (n = 6/17) in CC828, 25% (n = 3/12) in CC48 and no resistant strains (n = 0/13) were observed in CC61. No association was found between Campylobacter sp. and quinolone resistance (P = 0·19). CC61 was significantly more often sensitive towards quinolones compared to the general resistance distribution (P = 0·02), whereas the other CCs did not differ significantly from the overall quinolone resistance distribution.
Population analyses and source attribution
PSI
The PSIs were calculated for populations based on MLST and flaB typing. Values were calculated separately for C. jejuni and C. coli. As shown in Table 2, C. jejuni cattle isolates showed the highest overlap with human isolates followed by chicken and dog isolates independent of the typing scheme. For C. coli the overlap between cattle and pigs was highest with the flaB genotyping method whereas with MLST the overlap between cattle and pigs was as high as between cattle and chicken. In any case human isolates showed highest overlap with chicken independent of genotyping scheme and Campylobacter sp. (Table 2).
Proportional similarity index (PSI) of C. jejuni and C. coli isolates from different sources
Values within parentheses are 95% confidence intervals.
1 = maximal similarity; 0 = maximal difference.
Fst analysis
When using MLST sequences, the genetic distance based on fixation indices (F st) between all Campylobacter host groups differed significantly from zero (Table 3). Based on MLST data cattle isolates were closest to chicken C. jejuni and porcine C. coli isolates. Using the flaB typing method cattle isolates were most similar to canine C. jejuni isolates while for C. coli highest similarity was observed with chicken isolates. Again human isolates were always closest to chicken isolates for both Campylobacter sp. independent of the typing data used. In the case of flaB sequences, the genetic distance between human and chicken isolates did not even differ significantly from zero.
Fixation indices (F st ) for C. jejuni and C. coli isolates from different sources
Values within parentheses indicate F st bootstrap 2·5 and 97·5 percentile values (over 20 000 bootstraps).
0 = maximal similarity; 1 = maximal difference.
* Not significantly different from 0.
Source attribution
The rank of source attribution based on STRUCTURE analysis for human C. jejuni isolates was the same with both MLST and flaB. More human isolates were attributed to chicken than to cattle and the least to dogs; they reached 44%, 36% and 20%, respectively, for MLST and 68%, 18% and 14% for flaB typing. Concerning human C. coli, the analysis using MLST data revealed a similar ranking with chicken (76%), followed by cattle (16%) and pigs (8%). With flaB typing in C. coli, the results differ from the others as no human isolates were assigned to cattle, but almost all isolates were assigned to chicken (94%) and a few to pigs (6%) (Fig. 1).
DISCUSSION
This is the first study to investigate the population structure of C. jejuni and C. coli in Swiss cattle. A multiplex approach including MLST, flaB typing and genetic determination of antibiotic resistance to quinolones and macrolides was applied. The proportion of C. jejuni was higher than C. coli with 75% and 25%, respectively. This corresponds to findings from other studies [Reference Kwan34, Reference Keller35]. However, C. coli prevalence in Switzerland was higher than that reported by Sproston et al. [Reference Sproston9] at 2·3% in the UK. This variation in C. coli frequencies may be related to the specific farming structure in Switzerland, with farms having both cattle and pigs allowing contact between them. This hypothesis is supported by the comparatively high PSI results between cattle and pigs with MLST (0·36) as well as with flaB (0·47) data.
A great ST variety was observed in Campylobacter within the Swiss cattle population. The 97 investigated isolates contained 37 different STs of which two STs had not been previously described. The most common STs represented in our dataset (ST21, ST61, ST48, ST854) were also the most commonly reported STs in cattle in other countries [Reference Sproston9, Reference Kwan34, Reference Manning36].
As previously shown for other hosts, flaB typing demonstrated a higher discriminatory index than MLST for cattle isolates and if the two methods are combined, it increases the discriminatory power of each [Reference Korczak25].
Further, with the inclusion of cattle isolates, population genetics analyses confirmed chicken as the major source for human campylobacteriosis in Switzerland as is the case for other countries [Reference Mullner14–16, Reference Kittl19]. In fact, using flaB typing, the similarity between human and chicken isolates did not significantly differ from zero, indicating a high overlap of these two Campylobacter populations. Nevertheless, cattle seem to harbour Campylobacter populations similar to chicken and humans. Furthermore, ST61, which is typical for ruminants, was found for about 17% of cattle C. jejuni isolates in the UK [Reference Kwan34], which is similar to the 16% determined in this study. ST61 is also found in about 1% of Swiss human C. jejuni isolates and cattle are a likely source for infection with this ST. A possible role of cattle as a source for human campylobacteriosis is further supported by the attribution of 36% of human C. jejuni to bovine C. jejuni based on MLST which is comparable to findings by other studies [Reference Mullner14–Reference Wilson16]. Interestingly, the source attribution of cattle C. jejuni as a source of infection for humans using flaB typing was less at only 18%. This difference could be due to higher mutation rates in the fla genes than in the housekeeping genes used for MLST which are under constantly high selection pressure.
Our analyses indicated 31% of cattle strains being resistant to quinolones, and only 1% resistant to macrolides (represented by only one C. coli strain). Similar rates of resistance were found in Switzerland for Campylobacter isolated from other animal species like chicken, pig and dog [Reference Kittl29–31, Reference Wirz37]. Antibiotic resistance is more pronounced in human isolates whereas macrolide resistance is virtually absent [Reference Niederer5]. In 2009 almost 40% of strains in patients without a history of foreign travel were quinolone-resistant and this figure rose to 56% for those with a history of recent foreign travel [Reference Niederer5]. Wirz et al. [Reference Wirz37] observed significant associations between specific genotypes and quinolones resistance/sensitivity in chicken isolates. Such an association was also found in cattle isolates with CC61 being significantly more often sensitive towards quinolones. This is a novel observation and it will be interesting to see if this is the case in other countries also.
In conclusion, C. jejuni and C. coli from Swiss cattle showed a high genetic diversity, with two new sequence types and five new flaB types discovered. Source attribution indicates that cattle should not be underestimated as a potential origin for human campylobacteriosis. Improvement regarding the high quinolone resistance status should be achieved to decrease its frequency.
Source assignment of human Campylobacter isolates to the cattle, chicken, dog and pig reservoir using STRUCTURE software.
ACKNOWLEDGEMENTS
This work was supported by the Federal Food Safety and Veterinary Office grant 1·10·08.
DECLARATION OF INTEREST
None.
