Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-27T12:04:34.632Z Has data issue: false hasContentIssue false

Genotypes and antibiotic resistance of bovine Campylobacter and their contribution to human campylobacteriosis

Published online by Cambridge University Press:  16 December 2014

R. JONAS
Affiliation:
Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
S. KITTL
Affiliation:
Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
G. OVERESCH
Affiliation:
Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
P. KUHNERT*
Affiliation:
Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
*
*Author for correspondence: Professor P. Kuhnert, Institute of Veterinary Bacteriology, Laenggassstr. 122, 3001 Bern, Switzerland. (Email: peter.kuhnert@vetsuisse.unibe.ch)
Rights & Permissions [Opens in a new window]

Summary

Campylobacter jejuni and Campylobacter coli are the most important bacterial causes of human gastroenteritis. Chicken has been recognized as a major source for human infection, whereas cattle might also contribute to a lesser extent. However, there is a paucity of information available regarding Campylobacter in Swiss cattle and their role for human campylobacteriosis. To gain more information on genotypes and antibiotic resistance of bovine C. jejuni and C. coli and on their contribution to human disease, 97 cattle isolates were analysed. Multilocus sequence typing (MLST) and flaB typing were applied and the gyrA and 23S rRNA genes were screened for point mutations responsible for quinolone and macrolide resistance, respectively. A total of 37 sequence types (STs) and 44 flaB types were identified, including two sequence types and five flaB types not previously described. Most common sequence types were ST21 (21%), ST61 (12%) and ST48 (11%). Only one isolate was macrolide resistant while 31% (n = 30) were quinolone resistant. Source attribution indicated chicken as the main source of human infection with cattle being second. In conclusion, cattle should not be underestimated as a potential source of human campylobacteriosis.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2014 

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 Madsen6Reference 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 McCarthy13Reference 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.

Table 1. 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).

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.

Table 3. 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 Mullner14Reference 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.

Fig. 1. 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.

References

REFERENCES

1. Havelaar, AH, et al. Estimating the true incidence of campylobacteriosis and salmonellosis in the European Union, 2009. Epidemiology and Infection 2013; 141: 293302.Google Scholar
2. European Food Safety Authority. The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2012. EFSA Journal 2014; 12: 35473859.Google Scholar
3. Nachamkin, I. Chronic effects of Campylobacter infection. Microbes and Infection 2002; 4: 399403.Google Scholar
4. Blaser, MJ. Epidemiologic and clinical features of Campylobacter jejuni infections. Journal of Infectious Diseases 1997; 176: S103S105.Google Scholar
5. Niederer, L, et al. Genotypes and antibiotic resistances of Campylobacter jejuni and Campylobacter coli isolates from domestic and travel-associated human cases. Applied and Environmental Microbiology 2012; 78: 288291.Google Scholar
6. Humphrey, T, O'Brien, S, Madsen, M. Campylobacters as zoonotic pathogens: a food production perspective. International Journal of Food Microbiology 2007; 117: 237257.Google Scholar
7. Bronowski, C, James, CE, Winstanley, C. Role of environmental survival in transmission of Campylobacter jejuni . FEMS Microbiology Letters 2014; 356: 819.Google Scholar
8. Mughini, Gras L, et al. Increased risk for Campylobacter jejuni and C. coli infection of pet origin in dog owners and evidence for genetic association between strains causing infection in humans and their pets. Epidemiology and Infection 2013; 141: 25262535.Google Scholar
9. Sproston, EL, et al. Multi-locus sequence types of Campylobacter carried by flies and slugs acquired from local ruminant faeces. Journal of Applied Microbiology 2010; 109: 829838.Google Scholar
10. Anon. Swiss Zoonosis Report 2012, Bern: Swiss Federal Veterinary Office, 2013.Google Scholar
11. Whyte, P, et al. Occurrence of Campylobacter in retail foods in Ireland. International Journal of Food Microbiology 2004; 95: 111118.Google Scholar
12. Bianchini, V, et al. Prevalence in bulk tank milk and epidemiology of Campylobacter jejuni in dairy herds in northern Italy. Applied and Environmental Microbiology 2014; 80: 18321837.Google Scholar
13. McCarthy, ND, et al. Host-associated genetic import in Campylobacter jejuni . Emerging and Infectious Diseases 2007; 13: 267272.Google Scholar
14. Mullner, P, et al. Assigning the source of human campylobacteriosis in New Zealand: a comparative genetic and epidemiological approach. Infection, Genetics and Evolution 2009; 9: 13111319.Google Scholar
15. Sheppard, SK, et al. Campylobacter genotyping to determine the source of human infection. Clinical Infectious Diseases 2009; 48: 10721078.Google Scholar
16. Wilson, DJ, et al. Tracing the source of campylobacteriosis. PLoS Genetics 2008; 4: e1000203 Google Scholar
17. European Food Safety Authority. The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2011. EFSA Journal 2013; 11: 3129.Google Scholar
18. Strachan, NJC, et al. Attribution of Campylobacter infections in northeast Scotland to specific sources by use of multilocus sequence typing. Journal of Infectious Diseases 2009; 199: 12051208.Google Scholar
19. Kittl, S, et al. Source attribution of human Campylobacter isolates by MLST and fla-typing and association of genotypes with quinolone resistance. PLoS ONE 2013; 8: e81796.Google Scholar
20. Vellinga, A, Van, Loock F. The dioxin crisis as experiment to determine poultry-related Campylobacter enteritis. Emerging and Infectious Diseases 2002; 8: 1922.Google Scholar
21. Mughini, Gras L, et al. Risk factors for campylobacteriosis of chicken, ruminant, and environmental origin: a combined case-control and source attribution analysis. PLoS ONE 2012; 7: e42599.Google Scholar
22. Levesque, S, et al. Campylobacteriosis in urban versus rural areas: a case-case study integrated with molecular typing to validate risk factors and to attribute sources of infection. PLoS ONE 2013; 8: e83731.Google Scholar
23. Dingle, KE, et al. Multilocus sequence typing system for Campylobacter jejuni . Journal of Clinical Microbiology 2001; 39: 1423.Google Scholar
24. Dingle, KE, et al. Sequence typing and comparison of population biology of Campylobacter coli and Campylobacter jejuni . Journal of Clinical Microbiology 2005; 43: 340347.Google Scholar
25. Korczak, BM, et al. Multiplex strategy for MLST, fla-typing and genetic determination of antimicrobial resistance of Swiss Campylobacter jejuni and Campylobacter coli isolates. Journal of Clinical Microbiology 2009; 47: 19962007.Google Scholar
26. Alfredson, DA, Korolik, V. Antibiotic resistance and resistance mechanisms in Campylobacter jejuni and Campylobacter coli . FEMS Microbiology Letters 2007; 277: 123132.Google Scholar
27. Hunter, PR, Gaston, MA. Numerical index of the discriminatory ability of typing systems: an application of Simpson's index of diversity. Journal of Clinical Microbiology 1988; 26: 24652466.Google Scholar
28. Feinsinger, P, Spears, EE, Poole, RW. A simple measure of niche breadth. Ecology 1981; 62: 2732.Google Scholar
29. Kittl, S, et al. Comparison of genotypes and antibiotic resistances of Campylobacter jejuni and Campylobacter coli on chicken retail meat and at slaughter. Applied and Environmental Microbiology 2013; 79: 38753878.Google Scholar
30. Amar, C, et al. Genotypes and antibiotic resistance of canine Campylobacter jejuni isolates. Veterinary Microbiology 2014; 168: 124130.Google Scholar
31. Egger, R, et al. Genotypes and antibiotic resistance of Campylobacter coli in fattening pigs. Veterinary Microbiology 2012; 155: 272278 Google Scholar
32. Excoffier, L, Lischer, HEL. Arlequin suite version 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Resources 2010; 10: 564567.Google Scholar
33. Pritchard, JK, Stephens, M, Donnelly, P. Inference of population structure using multilocus genotype data. Genetics 2000; 155: 945959.Google Scholar
34. Kwan, PS, et al. Molecular epidemiology of Campylobacter jejuni populations in dairy cattle, wildlife, and the environment in a farmland area. Applied and Environmental Microbiology 2008; 74: 51305138.Google Scholar
35. Keller, J, et al. Distribution and genetic variability among Campylobacter spp. isolates from different animal species and humans in Switzerland. Zoonoses Public Health 2007; 54: 27.Google Scholar
36. Manning, G, et al. Multilocus sequence typing for comparison of veterinary and human isolates of Campylobacter jejuni . Applied and Environmental Microbiology 2003; 69: 63706379.Google Scholar
37. Wirz, SE, et al. Genotype and antibiotic resistance analyses of Campylobacter isolates from ceca and carcasses of slaughtered broiler flocks. Applied and Environmental Microbiology 2010; 76: 63776386.Google Scholar
Figure 0

Table 1. Distribution of clonal complexes (CC), sequence types (ST), flaB types and antibiotic resistance in C. jejuni and C. coli isolates from cattle

Figure 1

Table 2. Proportional similarity index (PSI) of C. jejuni and C. coli isolates from different sources

Figure 2

Table 3. Fixation indices (Fst) for C. jejuni and C. coli isolates from different sources

Figure 3

Fig. 1. Source assignment of human Campylobacter isolates to the cattle, chicken, dog and pig reservoir using STRUCTURE software.