Next Article in Journal
Resolved Influenza A Virus Infection Has Extended Effects on Lung Homeostasis and Attenuates Allergic Airway Inflammation in a Mouse Model
Next Article in Special Issue
Toll-Like Receptor-4 Is Involved in Mediating Intestinal and Extra-Intestinal Inflammation in Campylobacter coli-Infected Secondary Abiotic IL-10−/− Mice
Previous Article in Journal
Dichloromethane Degradation Pathway from Unsequenced Hyphomicrobium sp. MC8b Rapidly Explored by Pan-Proteomics
Previous Article in Special Issue
Resveratrol Alleviates Acute Campylobacter jejuni Induced Enterocolitis in a Preclinical Murine Intervention Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Importance of the Farm Environment and Wildlife for Transmission of Campylobacter jejuni in A Pasture-Based Dairy Herd

1
Food & Bio-based Products, AgResearch, Hopkirk Research Institute, Tennent Drive, Massey University, Palmerston North 4442, New Zealand
2
Bioinformatics & Statistics, AgResearch, Grasslands Research Centre, Tennent Drive, Palmerston North 4410, New Zealand
3
New Zealand Food Safety Science & Research Centre, Hopkirk Research Institute, Tennent Drive, Massey University, Palmerston North 4442, New Zealand
*
Author to whom correspondence should be addressed.
Microorganisms 2020, 8(12), 1877; https://doi.org/10.3390/microorganisms8121877
Submission received: 29 October 2020 / Revised: 24 November 2020 / Accepted: 25 November 2020 / Published: 27 November 2020
(This article belongs to the Special Issue Foodborne Pathogen Campylobacter)

Abstract

:
Cattle are an established reservoir of the foodborne bacterial pathogen Campylobacter jejuni. Our six-month study aimed to evaluate sources and pathways governing long-term presence of C. jejuni in a pasture-based dairy herd. C. jejuni was detected in all sample types (soil, pasture, stock drinking water, bird, rodents and cow faeces). It was persistently detected from cow (54%; 49/90 samples) and bird (36%; 77/211) faeces. Genetic comparison of 252 C. jejuni isolates identified 30 Multi-Locus Sequence Types (ST). ST-61 and ST-42 were persistent in the herd and accounted for 43% of the cow isolates. They were also detected on pasture collected from fields both recently and not recently grazed, indicating that grazed pasture is an important pathway and reservoir for horizontal transmission among cows. ST-61 accounted for 9% of the bird isolates and was detected at four of the six sampling events, suggesting that bird populations might contribute to the cycling of ruminant-adapted genotypes on-farm. Overall, the results indicated that management of grazed pasture and supplementary feed contaminated by bird droppings could be targeted to effectively reduce transmission of C. jejuni to dairy herds, the farm environment and ultimately to humans.

1. Introduction

Campylobacter jejuni (C. jejuni) is an important bacterial pathogen responsible for acute gastroenteritis worldwide [1]. The burden of Campylobacter infections is substantial; campylobacteriosis accounts for about 1.5 million cases of infectious illness in the United States annually [2] and since 2005 has been the most reported gastrointestinal bacterial pathogen in the European Union [3]. In Africa, Asia, and the Middle East, Campylobacter infections appear to be endemic, particularly in young children [4]. Post-infection neuropathies can be severe and include Guillan-Barré and Miller Fisher syndromes [4].
C. jejuni is widely distributed in most warm-blooded animals, with chickens and cattle identified as the predominant sources from which transmission to humans can occur [5,6]. The transmission pathway to humans is foodborne, via consumption of undercooked poultry, raw milk or vegetables contaminated with animal faeces or effluents [7,8,9]. Direct contact with dairy animals [10] or contact with contaminated recreational waters [11] have also been identified as risk factors for campylobacteriosis. The role of cattle in human infection is further supported by an increased risk of campylobacteriosis in rural areas [12], during flooding of vegetable fields [13] and with periods of high surface-water overland flow combined with cattle grazing [14].
One of the strategies to prevent the disease caused by C. jejuni is incorporation of control measures at the primary source (i.e., the animal reservoir) [15]. In New Zealand and Iceland, good hygiene and biosecurity measures have proven to be effective in closed housing production systems used for poultry [16]. However, if open pasture is used for grazing cattle, environmental control measures are more challenging. Previous studies have established the prevalence and genotypes of enteric bacteria, such as C. jejuni, in dairy cows and their environment, including livestock drinking water [17,18,19], wild birds and mammals living in close proximity to the livestock [20,21]. There is however limited longitudinal data on contamination of multiple farm environments and reservoirs with cattle shedding these pathogens in their faeces, which is required for herd-level epidemiology.
The objective of the present study was to identify the sources and pathways governing the persistence of C. jejuni in a dairy herd by establishing (i) the temporal variation in the occurrence of C. jejuni isolated from farm animals, wildlife and environment, and (ii) the genetic relatedness of C. jejuni isolates.

2. Materials and Methods

2.1. Study Site

The study was performed on a commercial dairy farm in a temperate region (Waikato district) of New Zealand. A herd of 454 cows was farmed on 83 ha of farmland. The cows were grazed on pasture throughout the study and received supplementary feed (including palm kernel, maize silage, and soya meal). Feed was kept in open barns or bunkers and was partially covered. When not on pasture, the cows were kept on two 620 m2 wall-free shelters comprising a clear roof, slatted concrete floors and an under-floor manure bunker. These facilities were used for 2–10 h per day by the cows. Stock drinking water was sourced from a bore.

2.2. Sampling Collection

Samples were collected from the farm once a month for six months (May to October, covering winter and spring seasons). At each visit, cow fecal samples (50–200 g) were collected from faeces freshly voided on a field that was grazed for up to 12 h before sampling. Cross-contamination during sampling was avoided using single-use plastic spoons. Environmental samples were collected from the field the cows were currently in and from the field to be grazed next (no grazing or irrigation with farm dairy effluents for 21 days). For each field, a composite pasture sample (about 300 g) was collected by bulking herbage from 15 sites at evenly spaced intervals along one diagonal transect line, avoiding dung and urine patches. Herbage was clipped at approx. 5 cm above ground level using sterile scissors and placed in a clean plastic bag. A composite soil sample (approx. 150 g) was collected by bulking a total of 15 soil cores (diameter 2  cm and soil depth 0–5  cm) manually excavated at the pasture collection sites by using a stainless-steel soil corer. For each field, a one-litre water sample was collected by immersing a sample bottle in the top layer of the water column of the livestock drinking water. At each visit, a one-litre livestock drinking water sample was also collected from the animal shelters using the same procedure. At each visit, up to 45 individual moist bird droppings were collected from the fences, rails and edges of the concrete feed bunkers and cow shelters. Single droppings were transferred to a screw lid vial using sterile tweezers. When found in the area of supplementary feed and animal shelter, rat faeces were collected using sterile tweezers and placed as single pellets into screw-lid vials. All samples were placed in an insulated box, transported to the laboratory and analysed within 6 h of collection.

2.3. Cultivation and Identification of C. jejuni

The presence of C. jejuni was determined from a representative subsample of each solid sample using selective enrichment in Campylobacter modified Exeter broth (mExBr) followed by a secondary selection on mCCDA agar as described in the NZ Reference method [22]. Ratios in mExBr were 1:30 (w/v) for cow faeces, 1:10 (w/v) for soil samples, 1:5 (w/v) for pasture. Five hundred millilitres of each trough water sample was filtered through 0.45 µm filters, which were then placed in 75 mL mExBr. More than one filter was required if samples were turbid. Each individual bird dropping or rat faeces was added directly to 10 mL of mExBr. After 48 h incubation at 42 °C, a 20 μL volume of the enriched mExBr was transferred to a mCCDA plate and grown in a microaerophilic atmosphere at 42 °C for 24 h. The presence of C. jejuni on mCCDA was confirmed by PCR with a primer pair specific for C. jejuni [23]. Bacterial cells were stored in charcoal Amies transport medium (Fort Richard Laboratory Ltd., Auckland, New Zealand) at −80 °C until purification of single-colony isolates for genotyping.

2.4. Genotyping of C. jejuni Single-Colony Isolates by Enterobacterial Repetitive Intergenic Consensus (ERIC)-PCR and Multi Locus Sequence Typing (MLST)

Up to two single colonies were genotyped for each C. jejuni-positive sample. Resuscitation of the cells stored in charcoal Amies transport medium and isolation of single colonies were performed using the conditions described above. DNA purification and ERIC-PCR analyses were performed as previously described [24]. The ERIC profiles were compared in two stages. For each of the six sampling visits, the DNA of single-colony isolates from each individual sample was first compared to each other to determine the occurrence of ERIC types at a sampling time. DNA of representative single-colony isolates from each sampling was then successively compared with those of the other sampling visits. Profiles were assigned a numerical sequence applied randomly (i.e., ERIC-type 1 to ERIC-type 30). C. jejuni isolates (n = 37) representative of the ERIC types obtained during the study were further characterized by MLST for their association with human infections and with other animal reservoirs. MLST analyses were conducted by mEpiLab (Hopkirk Research Institute, Massey University, Palmerston North, New Zealand). Sequence data were collated, and alleles assigned as sequence type (ST) and clonal complex (CC) using the Campylobacter PubMLST database (http://pubmlst.org/campylobacter/).

2.5. Statistical Analysis

A generalized linear model with a logit link function was used to investigate the relationship between the proportion of C. jejuni positive samples and the explanatory variables sampling month and sample type. Both explanatory variables were included in the model as factors. Rarefaction curves were created using the Vegan R package [25,26] to assess C. jejuni population diversity in the cows and the birds. The R software program was used for data manipulation and statistical analysis.

3. Results

3.1. Prevalence of C. jejuni in the Cows and the Farm Environment

The overall prevalence of C. jejuni in the samples collected over a 6-month period at the study farm was 42% (154/369 samples) (Table 1). C. jejuni prevalence varied among sample types as well as between sampling months (p < 0.001). C. jejuni was detected in both cow faeces and bird droppings at each sampling occasion, at prevalences of 54% (49/90 samples) in cows and 36% (77/211) in birds. The highest rates of prevalence were in Spring, in both August and September for cows and in September for birds. C. jejuni was also found in rat faeces (6/7 samples), which were found only at the August and September samplings. In fields recently (<24 h) grazed by the cows, C. jejuni was repeatedly detected in pasture (69%, 9/13 samples), soil (38%, 5/13) and livestock drinking water (21%, 4/19). In the fields not recently (>21 days) grazed or effluent-irrigated, it was found in the pasture samples at four of the six samplings occasions but was not detected in the soil (0/6) or livestock drinking water (0/5) samples.

3.2. Characterization of C. jejuni Isolates

A total of 252 C. jejuni isolates were obtained from the animal and environmental samples. All the isolates were characterised by ERIC-PCR into 30 distinct ERIC types at a similarity cut-off value of 90%. The most prevalent ERIC types were types 1 (n = 40, 16%), 2 (n = 34, 13%) and 6 (n = 35, 14%), followed by types 17 (n = 22, 9%), 12 (n = 19, 7%) and 13 (n = 16, 6%). The remaining 24 ERIC-types collectively represented 35% of the entire data set. MLST analysis identified 12 C. jejuni sequence types (STs) grouped into 10 clonal complexes (CCs). One MLST sequence type from bird isolates has not been previously assigned (ERIC type 17). Four representative ERIC types (23, 8, 2 and 18) were unidentified by MLST.

3.2.1. Ruminant Isolates

A total of 14 ERIC-types representative of seven sequence types were identified from the cow isolates dataset (n = 87) (Table 2). Two ERIC-types (1 and 6) were the most common in the cows, accounting for 43% of the total cow isolates and detected on five of the six sampling occasions (Table 3). These two types belonged to MLST ST-61 and ST-42, respectively. ERIC types (2 and 17), which were assigned to new STs, were also common in the cows (15 and 10% of cow isolates; detected on 2 and 5 occasions). ERIC type 13, assigned to ST-38, represented 10% of the cow isolates. The remaining 9 ERIC types, representing six sequences types, occurred only once in the cow dataset.

3.2.2. Wildlife Isolates

From the bird dataset (n = 116 isolates), a total of 25 ERIC-types, representative of 13 sequence types, were identified. Comparison of C. jejuni genetic diversity by sample type-based rarefaction curves revealed a greater ERIC-type diversity in bird isolates compared to bovine isolates (Figure 1). ERIC-types 2 and 12 (ST-45) were the most commonly detected in the birds. They were represented by 17% and 13% of the bird dataset, and were found at three and four sampling occasions, respectively. The ERIC-types 6 (ST-42), 17 (ST-10821) and 27 (ST-45) were represented by 10, 9 and 7 isolates, respectively (9 to 6% of the bird dataset). Both ERIC-types 6 and 27 were stable in the bird population, each detected on four of the six sampling times. The remaining 20 ERIC-types were represented by six isolates or less (<5% of the bird dataset). They were often detected once in the birds during the study. The exceptions were ERIC-type 10 (ST-45), which was detected at three sampling occasions, and ERIC-types 1 (ST-61), 9 (ST-2026) and 13 (ST-38), which were detected on two sampling occasions. Of the 20 ERIC-types detected from time to time in the bird dataset, six were shared with the cow dataset. Of the seven ERIC types that were assigned to sequence type ST-45, five were detected in the bird dataset, in which they accounted for a total of 29% of the bird dataset. From the rat faeces (n = 9 isolates), two ERIC-types (12 and 30) were identified, both assigned to ST-45.

3.2.3. Farm Environment Isolates

The environmental isolates (n = 40) were obtained from fields recently grazed or effluent irrigated, as well as from fields free from fresh faecal deposits from dairy cows. In total, nine ERIC-types were identified, representative of 8 sequence types, of which one was new, and one was unassigned. The most commonly encountered ERIC-type was ERIC-type 31 (17 isolates; 32% of the environmental dataset), which was representative of ST-50. This type was detected at a single sampling visit (October); it was not detected in the cows during the study. Two other types commonly detected in the farm environment were ERIC-type 1 (14 isolates, 26% of the environmental dataset) and ERIC-type 6 (8 isolates, 15% of the environmental dataset). Four ERIC-types (1, 2, 3 and 6) were detected in fields not recently grazed by the cows or irrigated with animal effluents; they were each detected at one or two occasions in pasture.

4. Discussion

Establishing the occurrence and genetic diversity of zoonotic organisms in livestock farms can provide information on transmission dynamics, persistence or emergence of zoonosis. The results of our longitudinal dataset confirmed the temporal persistence and high prevalence of C. jejuni in dairy farms, as previously reported [24]. Analysis of the genotypic composition of the isolated C. jejuni population by comparative multilocus sequence typing (MLST) revealed that the most abundant and stable genotypes in the studied herd were ST-61 and ST-42 complexes. The observed stability of some genotypes in adult cattle herds over time is consistent with other longitudinal studies [20,27,28]. It has been attributed to a small number of C. jejuni sources, adaptation of particular MLST types and transmission of the organism among animals that are held in close proximity [17,29,30]. Worldwide, the ST-61 and ST-42 complexes have been identified as examples of specialist lineages associated with cattle [31]. They also represent an important component of the genotypes known to be associated with ruminants in New Zealand [6,32], supporting the hypothesis that these ruminant-adapted genotypes are readily transmitted in a dairy herd. Taken together, our findings suggest that cow to cow transmission is important for persistence of ruminant-adapted C. jejuni.
Several routes have been proposed for dissemination of C. jejuni on dairy farms, including direct animal contact and mutual grooming [33], and aerosolization or splatter of faeces onto surfaces such as boots, tractors or even silage [20,34]. As expected, the C. jejuni genotypes detected in the environment, principally in recently grazed fields, were similar to those detected in the cows, confirming that pasture, soil and water contaminated with cow faeces may contribute to indirect horizontal transmission [17,35]. The chosen sampling protocol, which was designed to analyse a representative sample for each sample type, revealed a high prevalence of C. jejuni on pasture, implying a high risk of exposure and ingestion of C. jejuni. The composite sampling design may however have influenced our ability to detect C. jejuni in the soil underneath sampled pasture and in drinking trough water. It is possible that contamination of soil was heterogeneous at the scale of a field, as it has been seen with other zoonotic bacteria [36] and that differences in prevalence among the different sample types could be due to the sample size or physical properties affecting the success of the homogenization step. Pasture has not been previously highlighted as an important vector for transmission of C. jejuni among ruminants, but it has been reported that dairy cows would prefer to consume vegetation not contaminated with fresh faeces [37]. The analysis of a larger number of environmental samples from a field, as well as determination of pasture consumption behaviours are recommended to identify environmental hot spots and to more accurately quantify the role of pasture, soil, and water to maintain C. jejuni prevalence in dairy herds.
It has been proposed that a change of fields can shift a zoonotic population over time in ruminant herds due to the introduction of new genotypes [38]. In our study where different fields were analysed, the ruminant-associated genotypes ST-61 and ST-42 were occasionally isolated from pastures that had not been recently grazed or irrigated with animal effluents. The presence of ST-61 and ST-42 in these fields is in contradiction with a study in a 100-km2 farmland in England, which reported that ruminant genotypes were the least likely to be found in the environment [27]. Different farming systems, paddock rotation practices or seasonal prevalence might explain the discrepancies between the two studies, but our data suggests that the number of ruminant-associated C. jejuni cells that were initially shed on pasture is important for environmental persistence and re-infection of the dairy herd during the next grazing period. This hypothesis is supported by the common presence of ST-61 and ST-42 in cow faeces where C. jejuni concentration was greater than 3 log10 per g (fresh weight) [24]. Faecal loadings and environmental concentration of specific genotypes are warranted in further epidemiological studies.
Frequent contact opportunities between wildlife and farmed animals can facilitate pathogen spill over from wildlife to livestock and vice versa [39], and many epidemiology studies have discussed C. jejuni transmission between wild birds and livestock [20,34,40]. While the available literature has focused on bird species in a large range of habitat settings such as urban areas [41], feedlots [42], and large geographical areas [43], our longitudinal monitoring provided insight into the dynamics of C. jejuni populations between ruminant and birds on a farm. The bird community was C. jejuni-positive for the entire duration of the study, with an overall prevalence similar to that previously reported [20,44]. The bird population also carried a wide range of C. jejuni strains, as observed in other farm studies [44,45]. The prevalence and diversity of C. jejuni in the wild bird population has been associated with the bird taxa and feeding habits [46]. In our study, large flocks of house sparrows (Passer domesticus), silvereyes (Zosterops lateralis), Indian mynas (Acridotheres tristis) and starlings (Sturnus vulgaris) were observed foraging in the supplementary feed and water troughs, as well as around stores of supplementary feed that were left uncovered. A rapid turnover and re-colonization of starlings with different C. jejuni genotypes has been reported [45], however the persistent presence of ST-42 and ST-61 (ERIC types 1 and 6) in bird droppings supports a possible role of a “cycling” of “ruminant-adapted” C. jejuni between cows and birds for maintaining C. jejuni in the herd.
The clonal complex ST-45, classified as a lineage with a generalist lifestyle, has been regularly isolated from multiple species of hosts [31,47]. In the present study, ST-45 (ERIC type 12 and 27) appeared to be abundant and stable in the studied bird population but was infrequently detected in cows, suggesting the possibility of barriers to transmission and establishment of “generalist” C. jejuni in this dairy herd. This hypothesis is supported by a similar finding observed for other generalist types the cows were exposed to, for example clonal complexes ST-48, ST-206 and ST-21, and by a longitudinal monitoring of dairy cows, in which ST-45 was detected for a long period of time in a small proportion of “high-shedder” cows, but sporadically for the other studied cows [48]. ERIC genotyping revealed a high genetic diversity within our ST-45 strains. Genomic differences between and within generalist lineages have been associated with phenotypic differences and flexibility in terms of metabolic properties, energy harvests, or cell invasiveness [49,50], and it is possible that only some sub-lineages of ST-45 are able to exclude those genotypes that are particularly recognized to be adapted to the bovine intestine.

5. Conclusions

Our study has demonstrated transmission of C. jejuni between and within a range of animal species associated with pasture-based dairy farms. It has highlighted the role of environmental pathways for C. jejuni contamination of dairy cows. It is clear that grazed pasture can be an important pathway and reservoir for horizontal transmission, and that wild birds foraging on supplementary feed can increase the cycling of ruminant adapted C. jejuni genotypes. Through the bird population, cows can be exposed to generalist C. jejuni, but there appear to be a complex ecology associated with transmission and establishment of these types within the herd. Further work is needed to design management strategies that might effectively reduce carriage and transmission of C. jejuni to dairy herds, the farm environment and ultimately to humans.

Author Contributions

D.R. and C.R. drafted the manuscript and made a lead contribution to the conception, design, field, laboratory, analysis, and interpretation of the work. S.-Y.H. made contributions to analysis. G.B. secured funding acquisition and critically reviewed the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded through New Zealand Foundation for Research Science and Technology [Contract number C10 × 1006].

Acknowledgments

The authors would like to express their appreciation to the farm owner and farm personnel that participated in this study; to A. McGowan for helping with the sampling; to N.P. French for advice; to A. Donnison, J. Mills and A. Soni for careful review of the manuscript; to the team of the mEpiLab (Hopkirk Research Institute, Massey University, Palmerston North, New Zealand) for MLST analyses.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Blaser, M.J.; Engberg, J. Clinical Aspects of Campylobacter Jejuni and Campylobacter Coli Infections, Campylobacter, 3rd ed.; Nachamkin, I., Szymanski, C.M., Blaser, M.J., Eds.; ASM Press: Washington, DC, USA, 2008; pp. 99–121. [Google Scholar]
  2. CDC. Foodborne Diseases Active Surveillance Network (FoodNet): FoodNet 2015 Surveillance Report (Final Data); Department of Health and Human Services, CDC: Atlanta, GA, USA, 2017; p. 25. [Google Scholar]
  3. EFSA (European Food Safety Authority) and ECDC (European Centre for Disease Prevention and Control). The European Union One Health 2018 zoonoses report. EFSA J. 2019, 17, 5926. [Google Scholar]
  4. Kaakoush, N.O.; Castaño-Rodríguez, N.; Mitchell, H.M.; Man, S.M. Global epidemiology of Campylobacter infection. Clin. Microbiol. Rev. 2015, 28, 681–720. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Wilson, D.J.; Gabriel, E.; Leatherbarrow, A.J.H.; Cheesbrough, J.; Gee, S.; Bolton, E.; Fox, A.; Fearnhead, P.; Hart, C.A.; Diggle, P.J. Tracing the source of campylobacteriosis. PLoS Genet. 2008, 4, e1000203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Lake, R.; Ashmore, E.; Cressey, P.; Horn, B.; Pirikahu, S.; Sherwood, J. Source Assigned Campylobacteriosis in New Zealand Study; MPI Report: Wellington, New Zealand, 2020. [Google Scholar]
  7. Taylor, E.V.; Herman, K.M.; Ailes, E.C.; Fitzgerald, C.; Yoder, J.S.; Mahon, B.E.; Tauxe, R.V. Common source outbreaks of Campylobacter infection in the USA, 1997–2008. Epidemiol. Infect. 2013, 141, 987–996. [Google Scholar] [CrossRef] [Green Version]
  8. Kwan, P.S.; Xavier, C.; Santovenia, M.; Pruckler, J.; Stroika, S.; Joyce, K.; Gardner, T.; Fields, P.I.; McLaughlin, J.; Tauxe, R.V.; et al. Multilocus sequence typing confirms wild birds as the source of a Campylobacter outbreak associated with the consumption of raw peas. Appl. Environ. Microbiol. 2014, 80, 4540–4546. [Google Scholar] [CrossRef] [Green Version]
  9. Verhoeff-Bakkenes, L.; Jansen, H.A.P.M.; In’t Veld, P.H.; Beumer, R.R.; Zwietering, M.H.; van Leusden, F.M. Consumption of raw vegetables and fruits: A risk factor for campylobacter infections. Int. J. Food Microbiol. 2011, 144, 406–412. [Google Scholar] [CrossRef]
  10. Gilpin, B.J.; Scholes, P.; Robson, B.; Savill, M.G. The transmission of thermotolerant Campylobacter spp. to people living or working on dairy farms in New Zealand. Zoonoses Public Health 2008, 55, 352–360. [Google Scholar] [CrossRef]
  11. Gilpin, B.J.; Walker, T.; Paine, S.; Sherwood, J.; Mackereth, G.; Wood, T.; Hambling, T.; Hewison, C.; Brounts, A.; Wilson, M.; et al. A large scale waterborne campylobacteriosis outbreak, Havelock North, New Zealand. J. Infect. 2020, 81, 390–395. [Google Scholar] [CrossRef]
  12. Fitzenberger, J.; Uphoff, H.; Gawrich, S.; Hauri, A.M. Urban–rural differences of age- and species-specific campylobacteriosis incidence, Hesse, Germany, July 2005–June 2006. Eurosurveillance 2010, 15, 19693. [Google Scholar] [CrossRef]
  13. Ceuppens, S.; Johannessen, G.S.; Allende, A.; Tondo, E.C.; El-Tahan, F.; Sampers, I.; Jacxsens, L.; Uyttendaele, M. Risk factors for Salmonella, Shiga Toxin-Producing Escherichia coli and Campylobacter occurrence in primary production of leafy greens and strawberries. Int. J. Environ. Res. Public Health 2015, 12, 9809–9831. [Google Scholar] [CrossRef] [Green Version]
  14. Sanderson, R.A.; Maas, J.A.; Blain, A.P.; Gorton, R.; Ward, J.; O’Brien, S.J.; Hunter, P.R.; Rushton, S.P. Spatio-temporal models to determine association between Campylobacter cases and environment. Int. J. Epidemiol. 2018, 47, 202–216. [Google Scholar] [CrossRef] [Green Version]
  15. World Health Organization, Food and Agriculture Organization of the United Nations & World Organisation for Animal Health. The Global View of Campylobacteriosis: Report of an Expert Consultation, Utrecht, Netherlands, 9–11 July 2012; World Health Organization: Geneva, Switzerland, 2013; 57p, Available online: https://apps.who.int/iris/handle/10665/80751 (accessed on 2 May 2013).
  16. Wagenaar, J.A.; French, N.P.; Havelaar, A.H. Preventing Campylobacter at the source: Why is it so difficult? Clin. Infect. Dis. 2013, 57, 1600–1606. [Google Scholar] [CrossRef] [Green Version]
  17. Hänninen, M.L.; Niskanen, M.; Korhonen, L. Water as reservoir for Campylobacter jejuni infection in cows studied by serotyping and pulsed-field gel electrophoresis (PFGE). J. Vet. Med. B 1998, 45, 37–42. [Google Scholar]
  18. LeJeune, J.T.; Besser, T.E.; Merrill, N.L.; Rice, D.H.; Hancock, D.D. Livestock Drinking Water Microbiology and the Factors Influencing the Quality of Drinking Water Offered to Cattle. J. Dairy Sci. 2001, 84, 1856–1862. [Google Scholar] [CrossRef]
  19. Jaakkonen, A.; Castro, H.; Hallanvuo, S.; Ranta, J.; Rossi, M.; Isidro, J.; Lindström, M.; Hakkinen, M. Longitudinal study of Shiga toxin-producing Escherichia coli and Campylobacter jejuni on Finnish dairy farms and in raw milk. Appl. Environ. Microbiol. 2019, 85, e02910-18. [Google Scholar] [CrossRef] [Green Version]
  20. Adhikari, B.; Connolly, J.H.; Madie, P.; Davies, P.R. Prevalence and clonal diversity of Campylobacter jejuni from dairy farms and urban sources. N. Z. Vet. J. 2004, 52, 378–383. [Google Scholar] [CrossRef]
  21. Devane, M.L.; Nicol, C.; Ball, A.; Klena, J.D.; Scholes, P.; Hudson, J.A.; Baker, M.G.; Gilpin, B.J.; Garrett, N.; Savill, M.G. The occurrence of Campylobacter subtypes in environmental reservoirs and potential transmission routes. J. Appl. Microbiol. 2005, 98, 980–990. [Google Scholar] [CrossRef]
  22. Donnison, A. Isolation of Thermotolerant Campylobacter—Review and Methods for New Zealand Laboratories; Ministry of Health: Wellington, New Zealand, 2003; p. 79. [Google Scholar]
  23. Vandamme, P.; Van Doorn, L.J.; Al Rashid, S.T.; Quint, W.G.V.; Van Der Plas, J.; Chan, V.L.; On, S.L.W. Campylobacter hyoilei Alderton et al. 1995 and Campylobacter coli Véron and Chatelain 1973 are subjective synonyms. Int. J. Syst. Bacteriol. 1997, 47, 1055–1060. [Google Scholar] [CrossRef] [Green Version]
  24. Rapp, D.; Ross, C.M.; Cave, V.; Muirhead, R.W. Prevalence, concentration and genotypes of Campylobacter jejuni in feces from dairy herds managed in farm systems with or without housing. J. Appl. Microbiol. 2014, 116, 1035–1043. [Google Scholar] [CrossRef]
  25. Oksanen, J.; Blanchet, F.G.; Friendly, M.; Kindt, R.; Legendre, P.; McGlinn, D.; Minchin, P.R.; O’Hara, R.B.; Simpson, G.L.; Solymos, P.; et al. Vegan: Community Ecology Package; R Package Version 2.5-6; 2019; Available online: https://CRAN.R-project.org/package=vegan (accessed on 29 October 2020).
  26. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2019; Available online: https://www.R-project.org/ (accessed on 29 October 2020).
  27. Kwan, P.L.S.; Birtles, A.; Bolton, F.J.; French, N.P.; Robinson, S.E.; Newbold, L.S.; Upton, M.; Fox, A.J. Longitudinal study of the molecular epidemiology of Campylobacter jejuni in cattle on dairy farms. Appl. Environ. Microbiol. 2008, 74, 3626–3633. [Google Scholar] [CrossRef] [Green Version]
  28. Robinson, D.A. Campylobacter Infection in Milking Herds, Campylobacter: Epidemiology, Pathogenesis, and Biochemistry; Newell, D.G., Ed.; MTP Press: Lancaster, UK, 1982; p. 274. [Google Scholar]
  29. Ross, C.M.; Donnison, A.M.; Clark, D.A. Effect of using a stand-off pad on Campylobacter jejuni strain diversity in a herd of dairy cows. Lett. Appl. Microbiol. 2008, 47, 192–196. [Google Scholar] [CrossRef] [PubMed]
  30. Nielsen, E.M. Occurrence and strain diversity of thermophilic campylobacters in cattle of different age groups in dairy herds. Lett. Appl. Microbiol. 2002, 35, 85–89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Sheppard, S.K.; Cheng, L.; Méric, G.; de Haan, C.P.A.; Llarena, A.-K.; Marttinen, P.; Vidal, A.; Ridley, A.; Clifton-Hadley, F.; Connor, T.R.; et al. Cryptic ecology among host generalist Campylobacter jejuni in domestic animals. Mol. Ecol. 2014, 23, 2442–2451. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Mullner, P.; Shabolt, T.; Collins-Emerson, J.M.; Midwinter, A.C.; Spencer, S.E.F.; Marshall, J.; Carter, P.E.; Campbell, D.M.; Wilson, D.J.; Hathaway, S.; et al. Molecular and spatial epidemiology of human campylobacteriosis: Source association and genotype-related risk factors. Epidemiol. Infect. 2010, 138, 1372–1383. [Google Scholar] [CrossRef] [Green Version]
  33. Besser, T.E.; Lejeune, J.T.; Rice, D.H.; Berg, J.; Stilborn, R.P.; Kaya, K.; Bae, W.; Hancock, D.D. Increasing prevalence of Campylobacter jejuni in feedlot cattle through the feeding period. Appl. Environ. Microbiol. 2005, 71, 5752–5758. [Google Scholar] [CrossRef] [Green Version]
  34. Minihan, D.; Whyte, P.; O’Mahony, M.; Fanning, S.; McGill, K.; Collins, J.D. Campylobacter spp. in Irish feedlot cattle: A longitudinal study involving pre-harvest and harvest phases of the food chain. J. Vet. Med. B Infect. Dis Vet. Public Health 2004, 51, 28–33. [Google Scholar] [CrossRef]
  35. Jones, K. Campylobacters in water, sewage and the environment. J. Appl. Microbiol. 2001, 90, 68S–70S. [Google Scholar] [CrossRef]
  36. Fremaux, B.; Prigent-Combaret, C.; Beutin, L.; Gleizal, A.; Trevisan, D.; Quetin, P.; Jocteur-Monrozier, L.; Rozand, C. Survival and spread of Shiga toxin-producing Escherichia coli in alpine pasture grasslands. J. Appl. Microbiol. 2010, 108, 1332–1343. [Google Scholar] [CrossRef]
  37. Scheile, T.; Isselstein, J.; Tonn, B. Herbage biomass and uptake under low-input grazing as affected by cattle and sheep excrement patches. Nutr. Cycl. Agroecosyst. 2018, 112, 277–289. [Google Scholar] [CrossRef]
  38. Ahlstrom, C.; Muellner, P.; Lammers, G.; Jones, M.; Octavia, S.; Lan, R.; Heller, J. Shiga Toxin-Producing Escherichia coli O157 shedding dynamics in an Australian beef herd. Front. Vet. Sci. 2017, 27, 200. [Google Scholar] [CrossRef] [Green Version]
  39. Jones, B.A.; Grace, D.; Kock, R.; Alonso, S.; Rushton, J.; Said, M.Y.; McKeever, D.; Mutua, F.; Young, J.; McDermott, J.; et al. Zoonosis emergence linked to agricultural intensification and environmental change. Proc. Nat. Acad. Sci. USA 2013, 110, 8399–8404. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Sanad, Y.M.; Closs, G., Jr.; Kumar, A.; LeJeune, J.T.; Rajashekara, G. Molecular epidemiology and public health relevance of Campylobacter isolated from dairy cattle and European starlings in Ohio, USA. Foodborne Pathog. Dis. 2013, 10, 229–236. [Google Scholar] [CrossRef]
  41. Mohan, V.; Stevensen, M.; Marshall, J.; Fearnhead, P.; Holland, B.R.; Hotter, G.; French, N.P. Campylobacter jejuni colonization and population structure in urban populations of ducks and starlings in New Zealand. Microbiol. Open 2013, 2, 659–673. [Google Scholar] [CrossRef] [PubMed]
  42. Tang, Y.; Meinersmann, R.J.; Sahin, O.; Wu, Z.; Dai, L.; Carlson, J.; Plumblee Lawrence, J.; Genzlinger, L.; LeJeune, J.T.; Zhang, Q. Wide but variable distribution of a hypervirulent Campylobacter jejuni clone in beef and dairy cattle in the United States. Appl. Environ. Microbiol. 2017, 83, e01425-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Hald, B.; Skov, M.N.; Nielsen, E.M.; Rahbek, C.; Madsen, J.J.; Wainø, M.; Chriél, M.; Nordentoft, S.; Baggesen, D.L.; Madsen, M. Campylobacter jejuni and Campylobacter coli in wild birds on Danish livestock farms. Acta Vet. Scand. 2016, 58, 11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Hughes, L.A.; Bennett, M.; Coffey, P.; Elliott, J.; Jones, T.R.; Jones, R.C.; Lahuerta-Marin, A.; Leatherbarrow, A.H.; McNiffe, K.; Norman, D.; et al. Molecular epidemiology and characterisation of Campylobacter spp. isolated from wild bird populations in northern England. Appl. Environ. Microbiol. 2009, 75, 3007–3015. [Google Scholar] [CrossRef] [Green Version]
  45. Colles, F.M.; McCarthy, N.D.; Howe, J.C.; Devereux, C.L.; Gosler, A.G.; Maiden, M.C.J. Dynamics of Campylobacter colonization of a natural host, Sturnus vulgaris (European Starling). Environ. Microbiol. 2009, 11, 258–267. [Google Scholar] [CrossRef] [Green Version]
  46. Smith, O.M.; Snyder, W.E.; Owen, J.P. Are we overestimating risk of enteric pathogen spillover from wild birds to humans? Biol. Rev. 2020, 95, 652–679. [Google Scholar] [CrossRef] [Green Version]
  47. Mourkas, E.; Taylor, A.J.A.; Méric, G.; Bayliss, S.C.S.; Pascoe, B.; Mageiros, L.; Calland, J.K.; Hitchings, M.D.; Ridley, A.; Vidal, A.; et al. Agricultural intensification and the evolution of host specialism in the enteric pathogen Campylobacter jejuni. Proc. Natl. Acad. Sci. USA 2020, 117, 1118–11028. [Google Scholar] [CrossRef]
  48. Rapp, D.; Ross, C.M.; Cave, V.M. Excretion patterns of Campylobacter jejuni by dairy cows. N. Z. J. Agric. Res. 2019, 62, 83–95. [Google Scholar] [CrossRef]
  49. De Haan, C.P.; Llarena, A.K.; Revez, J.; Hanninen, M.L. Association of Campylobacter jejuni metabolic traits with multilocus sequence types. Appl. Environ. Microbiol. 2012, 78, 5550–5554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Gripp, E.; Hlahla, D.; Didelot, X.; Kops, F.; Maurischat, S.; Tedin, K.; Alter, T.; Ellerbroek, L.; Schreiber, K.; Schomburg, D.; et al. Closely related Campylobacter jejuni strains from different sources reveal a generalist rather than a specialist lifestyle. BMC Genom. 2011, 12, 1–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Rarefaction curves of C. jejuni population in cow faeces (blue) and wild bird droppings (red) during the study period.
Figure 1. Rarefaction curves of C. jejuni population in cow faeces (blue) and wild bird droppings (red) during the study period.
Microorganisms 08 01877 g001
Table 1. Occurrence of C. jejuni in cows, wildlife and farm environment during the study period.
Table 1. Occurrence of C. jejuni in cows, wildlife and farm environment during the study period.
Sample TypeNumber C. jejuni-Positive Sample/Total Samples (%)
MayJuneJulyAugSeptOctTotal
Cows faeces 4/15 (27)8/15 (53)8/15 (53)12/15 (80)10/15 (67)7/15 (47)49/90 (54)
Pasture 1/2 (50)1/3 (33)2/3 (67)3/4 (75)4/4 (100)2/3 (67)13/19 (68)
Soil 0/2 (0)1/3 (33)1/3 (33)2/4 (50)1/4 (25)0/3 (0)5/19 (26)
Water 0/3 (0)0/3 (0)1/4 (25)0/5 (0)1/5 (20)2/3 (67)4/23 (17)
Bird droppings 2/12 (17)13/35 (37)12/41 (29)15/45 (33)25/42 (60)10/36 (28)77/211 (36)
Rat faeces0/0 (0)0/0 (0)0/0 (0)0/1 (0)6/6 (100)0/0 (0)6/7 (86)
Total 154/369 (42)
Table 2. Relative distribution of C. jejuni ERIC genotypes within cows, birds, and environmental datasets. The rodent dataset (9 isolates) was not included in the table.
Table 2. Relative distribution of C. jejuni ERIC genotypes within cows, birds, and environmental datasets. The rodent dataset (9 isolates) was not included in the table.
ERIC GenotypeTotal Number of Isolates% Isolates within Datasets MLST
Cow
(n = 87)
Birds
(n = 116)
Environment (Pasture, Soil, Water)
(n = 40)
Sequence TypeClonal Complex
14023535ST-61CC-61
53210ST-61
63520920ST-42CC-42
74400ST-42
293300ST-42
41010ST-42
12172130ST-45CC-45
304220ST-45
106050ST-45
277060ST-45
253030ST-45
111100ST-45
201003ST-45
241010ST-583
13161045ST-38CC-38
2150110ST-50CC-21
35223ST-50
145130ST-4337
2270310ST-2345CC-206
192200ST-2345
94030ST-2026CC-403
163030ST-2343CC-48
262020ST-508CC-508
282020ST-508
151010ST-682CC-682
17221580ST-10821
236050Not identified
81010Not identified
234101713Not identified
182013Not identified
Table 3. Monthly detection of C. jejuni ERIC genotypes in cows, wildlife and the farm environment during the study period. Each genotype was assigned a numerical sequence (i.e., ERIC-type 1 to ERIC-type 30).
Table 3. Monthly detection of C. jejuni ERIC genotypes in cows, wildlife and the farm environment during the study period. Each genotype was assigned a numerical sequence (i.e., ERIC-type 1 to ERIC-type 30).
Sample TypeC. jejuni ERIC Genotypes
MayJuneJulyAugSeptOct
Cows faeces 1, 6, 12, 171, 6, 13, 177, 11, 13, 17, 291, 2, 3, 5, 61, 2, 6, 13, 17, 301, 6, 14, 17, 19
Pasture 1, 13222, 6, 202, 3, 6, 1, 2, 131
Soil 2261, 6
Water 1 1821
Birds droppings104, 6, 8, 9, 12, 18, 22, 25, 26, 271, 2, 5, 6, 12, 14, 17, 232, 3, 6, 12, 14, 17, 24, 271, 2, 6, 13, 27, 309, 10, 12, 15, 16, 21, 27, 28
Rat faeces 12, 30
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rapp, D.; Ross, C.; Hea, S.-Y.; Brightwell, G. Importance of the Farm Environment and Wildlife for Transmission of Campylobacter jejuni in A Pasture-Based Dairy Herd. Microorganisms 2020, 8, 1877. https://doi.org/10.3390/microorganisms8121877

AMA Style

Rapp D, Ross C, Hea S-Y, Brightwell G. Importance of the Farm Environment and Wildlife for Transmission of Campylobacter jejuni in A Pasture-Based Dairy Herd. Microorganisms. 2020; 8(12):1877. https://doi.org/10.3390/microorganisms8121877

Chicago/Turabian Style

Rapp, Delphine, Colleen Ross, Shen-Yan Hea, and Gale Brightwell. 2020. "Importance of the Farm Environment and Wildlife for Transmission of Campylobacter jejuni in A Pasture-Based Dairy Herd" Microorganisms 8, no. 12: 1877. https://doi.org/10.3390/microorganisms8121877

APA Style

Rapp, D., Ross, C., Hea, S. -Y., & Brightwell, G. (2020). Importance of the Farm Environment and Wildlife for Transmission of Campylobacter jejuni in A Pasture-Based Dairy Herd. Microorganisms, 8(12), 1877. https://doi.org/10.3390/microorganisms8121877

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop