INTRODUCTION
The livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) clonal complex (CC) 398 has been reported with increasing frequency in animals (especially in pigs), farm workers and veterinary staff [Reference Huijsdens1–Reference van Cleef7]. MRSA CC398 is non-typable by standard pulsed-field gel electrophoresis (PFGE) due to methylation of the SmaI restriction site [Reference Bens, Voss and Klaassen8]. In order to study the epidemiology of this MRSA clone, various PFGE protocols have been developed using alternative endonucleases such as Cfr9I [Reference Argudin9, Reference Bosch10] or ApaI [Reference Kadlec11]. However, such protocols have not been employed yet to elucidate the population diversity of MRSA CC398 at the farm level.
In The Netherlands, the epidemiology of MRSA CC398 has been extensively studied in pigs. High frequencies of MRSA CC398 have been described in pig-farm workers, and pigs at the slaughterhouse [Reference Voss12, Reference de Neeling13]. In Denmark, the prevalence of MRSA CC398-positive pig production holdings (⩾50 breeding pigs) appears to be low (3·5%, n=198) compared to the European Union-wide prevalence (25·5%, n=3012) [14]. Screening of participants at the annual meeting of the Danish Pig Production Association in 2008 showed that 3·1% (15/487) of the pig-farm workers were positive for MRSA CC398 [Reference Andreasen15]. One year after this meeting, we visited the farms of six of the 15 positive farm workers and investigated the occurrence of MRSA in different pig age groups and production units within each farm. The objectives of this study were to evaluate the diversity of MRSA CC398 within and between Danish pig farms and to assess the epidemiological relatedness of porcine, environmental and human isolates using a highly discriminatory method such as PFGE.
METHODS
Sampling times and sites
Six of the 15 MRSA-positive farm workers identified in the previous study [Reference Andreasen15] formally agreed to participate in this study. We visited each farm between October and November 2009. Four farms (nos. 1, 2, 5, 6) were farrow-to-finishing holdings and two farms (nos. 3, 4) were farrow-to-growing holdings (i.e. farms without a finishing unit). All farms exclusively produced pigs born at their facilities and purchased replacement gilts from breeding holdings. Farms 1 and 2 were located on Funen, farm 3 in North Jutland, farms 4 and 5 in South Jutland and farm 6 in West Jutland. A total of 311 animal and 80 environmental samples were collected from three production units: the farrowing unit where sows are kept from 1 week prior to farrowing up until the piglets are weaned; the growing unit where weaned pigs are kept until they reach about 30 kg weight; and the finishing unit where finishers are kept until they are transported to the slaughterhouse at about 100 kg weight. Five age groups of pigs were sampled at each farm: ten pregnant sows <7 days prepartum, ten farrowed sows <7 days postpartum, two piglets <3 days after birth from each farrowed sow, 15 weaned pigs 3 weeks after weaning, and 15 finishers 1 week before slaughter. Fewer than ten pregnant sows were sampled in three farms (farms 3, 5, 6) because no more pregnant sows were present in the farrowing unit at the time of sampling (Table 1). Animals were sampled from the greatest number of pens available within each unit; more than one pig was sampled in a pen if the number of pens was <15 in a unit. Each animal was sampled by introducing a cotton swab in both nares. A vaginal swab was additionally collected from each pregnant and farrowed sow minimizing perineal contamination by avoiding contact with the external vulva with the aid of sterile gloves. The vaginal sample was pooled with its corresponding nasal sample. Nasal samples from the two newborn piglets belonging to the same litter were pooled. In addition to animal samples, five environmental samples were collected from each room under study. Each environmental sample was taken by wiping the dust from four spots on different horizontal surfaces or fences covering a total area of about 25 cm×25 cm. Environmental samples were taken using cloth wipes moistened with Ringer's solution (Sodibox, France). All samples were processed within 24 h after collection.
* Two piglets were sampled from each farrowed sow included in the study.
Isolation and genetic characterization of MRSA CC398
Animal swabs and environmental wipes were enriched in 5 and 100 ml Mueller–Hinton broth containing 6·5% NaCl, respectively. After 18 h incubation at 37°C, 10 μl of the enrichment broth were plated onto Brilliance MRSA agar (Oxoid, UK) and incubated overnight at 37°C. Presumptive MRSA colonies were subcultured onto blood agar and incubated overnight at 37°C. MRSA CC398 was confirmed using a multiplex polymerase chain reaction (PCR) as described previously [Reference Stegger16]. The association between the carriage status of farrowed sows and that of their piglets was analysed by the glimmix procedure in SAS (SAS Institute Inc., USA).
A subset of 48 isolates from all farms, which included a representative isolate of each age group, one environmental isolate per unit, and the six strains previously isolated from the farm workers, was selected for phenotypic and genotypic characterization. Antimicrobial susceptibility was tested using the commercial broth microdilution minimum inhibitory concentration (MIC) panels Gram Positive All in One format (GPALL1F) (Sensititre, TREK Diagnostics, USA) which includes the clindamycin disk induction test (D test) for detection of inducible clindamycin resistance. The MICs were interpreted according to the Clinical and Laboratory Standards Institute [17], except for tigecycline, for which the breakpoints proposed by the European Committee for Antimicrobial Susceptibility testing were used (http://www.eucast.org/). The polymorphic X region of protein A gene was amplified and processed as described by Harmsen et al. [Reference Harmsen18]. The SCCmec was typed by a PCR-based multiplex assay described previously [Reference Kondo19]. The same 48 isolates were also typed by PFGE using Cfr9I [Reference Bosch10]. PFGE cluster analysis [unweighted pair group method with arithmetic mean (UPGMA) based on the Dice similarity coefficient, with optimization and position tolerance set at 0·1% and 1·0%, respectively] was performed using GelCompar II (Applied Maths, Belgium).
RESULTS
Of the 391 samples tested, 284 (72%) were confirmed to be MRSA-positive, including 230 (74%) animal and 54 (68%) environmental samples. MRSA was isolated from all farms, production units and age groups except farm 5, where all animals located in the finishing unit were negative (Table 1). The carriage status of farrowed sows was highly associated with that of their piglets (odds ratio 16, 95% confidence interval 2·7–91, P=0·0027).
The antimicrobial resistance patterns are reported in Figure 1. The susceptibility patterns varied in isolates originating from the same farm. A few differences were observed between farms, e.g. all isolates from farm 4 were resistant to all three fluoroquinolones tested.
Most of the isolates (38/39) from farms 1–5 belonged to spa type t034, whereas all isolates from farm 6 (n=9) belonged to spa type t011. The remaining t011 isolate originated from an environmental sample from the growing unit in farm 1. All isolates harboured SCCmec type V. Within each farm, PFGE profiles were indistinguishable or differed by up to 12·3% in porcine, environmental and human isolates with the exception of the human isolate from farm 5, which clustered together with isolates from farm 3. At 87·5% of homology, all isolates were distributed in six farm-specific clusters, except for the human isolate from farm 5 (Fig. 1).
DISCUSSION
MRSA CC398 isolates from the six farms generally displayed farm-specific pulsotypes irrespective of their isolation source, providing evidence of the genetic relatedness of human, porcine and environmental isolates originating from the same farm. The PFGE protocol used in this study was seen to be highly discriminatory as it enabled discrimination between MRSA CC398 isolates displaying the same spa type and carrying the same SCCmec type. As such it can be employed as a useful tool to track MRSA transmission between farms and to investigate sources of human infection with this zoonotic S. aureus lineage. The method also showed indistinguishable PFGE pulsotypes in two strains with different spa types isolated from the same farm (farm 1), although the difference between the two spa types is either a loss or gain of two repeats, which can be due to one single genetic event.
spa type t034 was the most common type identified in this study. This spa type was also reported as the most common MRSA spa type in Danish pigs by the European Food Safety report in 2008 [14]. According to the results of this study, spa-typing does not provide information explanatory enough to study the epidemiology of MRSA CC398 in Denmark (two spa types in six farms) and shows questionable associations between strains (PFGE shows one t011 strain in farm 1 that clusters with the t034 strains in farm 1 and not with the other t011 strain in farm 6). Although each farm showed a dominant resistance pattern, the variability in the antimicrobial susceptibility patterns of isolates originating from the same farm was greater than expected according to the genotyping results by PFGE (Fig. 1). For example, the six isolates from farm 4 displayed five distinct susceptibility profiles despite the high similarity (100%) of their PFGE profiles. A possible explanation is that resistance was encoded by mutations or by genes located in small plasmids that would not be visible in the PFGE. Only for three isolates were differences in the resistance profile associated with lack of one band compared to other isolates from the corresponding farm (strains F1 PS, F3 FS and F6 Env G in Fig. 1).
The results show that the Cfr9I PFGE protocol described by Bosch et al. [Reference Bosch10] is a highly discriminatory method for studying the epidemiology of MRSA CC398. Except for a single outlier, the band patterns obtained from porcine and environmental isolates were shown to be genetically related to those of human isolates originating from the same farm. As the isolates from farm workers were obtained about 1 year prior to this study, the results suggest that distinct MRSA CC398 sublineages may persist for a long period within the farm or be re-introduced from the gilt supplier. The persistence of strains displaying farm-specific PFGE profiles that appear to be stable over time suggests that each farm may have been contaminated with a distinct MRSA strain that has spread and become established as the dominant strain in the farm. This would then allow strains to be traced back to their origin sources and the mechanisms of spread between farms, e.g. by pig trade or human carriage, could be revealed by PFGE analysis. In addition, introduction of exogenous MRSA strains into the farms may be a rare event or the dominant MRSA strain on a farm is able to displace newly introduced strains. In all circumstances, PFGE should be regarded as a useful tool for future studies aimed at understanding the evolution and epidemiology of MRSA CC398 in pig farming.
In conclusion, the present study reveals the occurrence in Danish pig farms of farm-specific MRSA CC398 lineages that can be discriminated by PFGE. This epidemiological information will be of great value for investigating the mechanisms by which MRSA CC398 evolves and spreads in the pig production system.
ACKNOWLEDGEMENTS
This study was supported by the EU-HEALTH project PILGRIM (223050) of the Seventh Framework Programme (FP7) and by a national grant from the Danish Food Industry Agency.
DECLARATION OF INTEREST
None.