Chicken meat represents an important source of Campylobacter infections of humans world-wide. A better understanding of Campylobacter epidemiology in commercial chicken flocks will facilitate the development of more effective intervention strategies. We developed a gene-specific parallel sequencing approach that efficiently indicated genetic diversity in farm-derived samples and revealed Campylobacter genotypes that would not be detected using microbiological culture. Parallel sequencing of the porA nucleotide fragment identified a different pattern of diversity in broiler flocks compared with broiler-breeder flocks at both individual bird and flock levels. Amongst the flocks tested, broiler flocks and individual birds were dominated by one or two porA fragment types whereas co-dominance with up to six porA fragment types was evident in breeder birds. A high proportion (83.6–93.3%) of porA variants were shared between broiler and breeder flocks. The porA-based diversity profiling could be a useful addition to the repertoire of tools employed to attribute potential sources of contamination for broiler flocks, including the environment, wild animals or other chickens. This approach can be extended to include other loci within Campylobacter and developed for molecular epidemiology studies of other bacterial species.
Campylobacteriosis, predominantly caused by infection with C. jejuni and C. coli, is widespread in humans. Attribution modelling suggests that between 58% and 78% of human infection originates from contaminated chicken meat1,2. The intestines of broiler chickens become colonized by Campylobacter during rearing and this leads to the contamination of carcasses during processing3. Reducing the numbers of Campylobacter in broiler chickens is critical to reducing the incidence of human campylobacterosis4; however, intensive efforts to control this contamination through improved biosecurity at farms and slaughterhouses have been inconsistently effective. A better understanding of the epidemiology of Campylobacter transmission into and/or between broiler flocks is key to developing new more effective control strategies. Potential sources of contamination of broiler flocks are widely debated and include other Campylobacter positive chicken flocks that are nearby, livestock, wild animals, and water5,6,7,8,9,10,11.
Typically, Campylobacter epidemiology is based upon microbiological culture of the bacterium from different putative sources of contamination, with the most informative studies also employing some form of molecular genotyping of cultured Campylobacter (e.g. multi-locus sequence typing or whole genome sequencing)12,13,14,15,16,17. These approaches are constrained by the need to culture and isolate single colonies of Campylobacter for molecular analyses and, to date, molecular studies have focused on detailed analysis of a single, or a few colonies from each sample. The ubiquitous presence of Campylobacter in poultry environments, the variety of routes by which broiler flocks can become contaminated, the fact that broiler flocks can be colonised by more than one genotype of Campylobacter, and the large number of broiler flocks that are reared each year - more than 20 million broiler birds were slaughtered a week in the UK in January to August 2018, means that extensive sampling is required in order to trace routes of infection14,18,19,20. The need for labour-intensive bacteriological culture has limited the depth of analysis in individual birds and flocks. We identified this as a potential problem in defining Campylobacter populations and developed a culture independent gene fragment-specific parallel sequencing approach.
A short fragment of the hypervariable Campylobacter porA gene, encoding for a major outer membrane protein (MOMP), was chosen as the target for PCR amplification and sequencing using the Illumina MiSeq platform. The nucleotide sequence of the short variable region (SVR) of the porA gene has been widely used in typing schemes for Campylobacter and found to be highly discriminatory when comparing isolates21,22. To determine the porA based gene pool of Campylobacter in broiler and breeder flocks, the profile of porA fragment types were examined in faecal or caecal samples from groups of five individual birds with three replicates for each flock type. The results of the parallel sequencing approach were compared with results obtained by screening up to 50 colony picks, or plate sweeps, from the same samples subjected to microbiological culture.
Establishment of a porAf2 variant identification scheme
The porA fragment length used in this study is shorter than that used in previous typing schemes based on Sanger sequencing, and a new scheme to define and catalogue alleles was established on the PubMLST database for Campylobacter (https://pubmlst.org/campylobacter/). Data are freely available at this website. Each different porAf2 variant was given an allele number, based on the order of discovery. The new scheme (designated porA fragment 2 or ‘porAf2’) is compatible with other schemes, meaning that alleles can be assigned from longer nucleotide sequence obtained using the original Sanger sequencing method, or from whole genome sequence22,23,24. The peptide sequence alleles encoded by the porA fragment nucleotide sequences were also assigned (designated ‘MOMPf2’) using the Campylobacter PubMLST database.
Samples were analysed from four broiler flocks (A, B, C and D, from four different farms,) and three broiler-breeder flocks (E, F and G, from two different farms) that had been identified as Campylobacter positive by standard bacterial culture of 20 faecal samples/flock (Table 1). Following a weekly testing schedule, broiler flocks A-C became bacteriologically culture positive at between 32 and 35 days of the rearing cycle whereas Campylobacter was detected in broiler flock D only after slaughter at 39 days of age. Breeder flocks E and F both tested positive for Campylobacter at 20 weeks when sampling first started, and breeder flock G, sampled from 13 weeks of age, first tested positive at 23 weeks of age.
Parallel sequencing of porA
A total of 4,147,590 paired sequence reads were identified as Campylobacter porA nucleotide fragments; no porA fragments were identified from other bacterial species (Table 2). Between 15,528 and 1,656,017 reads were obtained from faecal and caecal samples for each of the broiler and breeder flocks. Rarefaction analysis indicated that the depth of sequencing within samples captured the diversity of porAf2 sequences within any individual sample (Supplementary Fig. 1). In total, 1670 different porAf2 types were identified during the course of this study, of which 1642 variants (98.3%) had not previously been identified on the PubMLST Campylobacter database. Due to the presence of indels, the porAf2 sequences varied in length from 405 to 482 base pairs. The 1670 porAf2 nucleotide sequences were translated into 1445 different peptide sequences. The ratio of porAf2 types to number of sequencing reads identified in a sample by parallel sequencing (0.001 to 0.03), was similar to the ratio of porAf2 types to number of colony picks, identified by microbiological culture (0.008 to 0.02) (Table 2).
Campylobacter diversity in broiler and breeder flocks
Differences in modified Simpson’s Diversity index (based upon normalised total read number) indicated some differences in the composition of porAf2 variants between the broiler and breeder flocks tested. Faecal samples obtained from broiler flocks had lower indices than breeder flocks (0.05–0.33 compared with 0.69–0.90) and these differences were also apparent with caecal derived samples (0.09–0.58 compared with 0.79–0.83) (Table 2). The same was true when considering the samples from different birds individually (Supplementary Table S1).
All except one of the faecal samples tested from three broiler flocks was dominated by a single Campylobacter porAf2 type, which most often represented more than 90% of all porAf2 types recovered (Fig. 1A). When caecal contents were tested from birds from the same flocks (but not from the same individual birds as the faecal samples), all except one had a second co-dominant Campylobacter porAf2 type (Fig. 1B). Caecal contents samples tested from a fourth broiler flock (Flock D, from which faecal samples were not tested) also revealed dominance by one or two Campylobacter porAf2 types. On five occasions, where left and right caecal samples were analysed from the same bird (annotated as a and b, Fig. 1B) similar, but not always identical, patterns of porAf2 diversity were evident (Bray-Curtis indices of 0.003–0.31; Supplementary Table S2). Within any broiler flock, almost all faecal or caecal samples from individual birds contained the same dominant porAf2 type. In contrast, each broiler flock was generally dominated by a different porAf2 type.
Faecal samples tested from three breeder flocks had between two and six co-dominant Campylobacter porAf2 types per individual bird. Similarly, caecal contents samples tested from two breeder flocks had between two and five co-dominant porAf2 types per individual bird (Fig. 1A,B). Only one of 24 faecal and caecal contents samples tested from breeder birds showed the pattern of dominance by a single Campylobacter porAf2 type. In addition to the increased number of co-dominant porAf2 types within individual birds the pattern of co-dominant porAf2 types differed between birds within the same flock. This was supported by both the between-bird-within-flock, and the between-flock Bray Curtis dissimilarity figures being much higher for breeder flocks (0.25–0.67) than broiler flocks (<0.001 to 0.77 with 42/52, 80.8% of values below 0.39) (Supplementary Tables S2 and S3). A Mann-Whitney U test comparing porAf2 genotype populations between the broiler and breeder flocks gave a value of U = 3.27, p < 0.0001, rejecting the null hypothesis that the broiler and breeder flocks have the same Campylobacter gene pool.
Parallel sequencing identified micro-variants of Campylobacter porAf2 types
Although birds in broiler flocks were typically dominated by one or two porAf2 type(s) and breeder flocks by up to six co-dominant types (at >5% of total) a large number of low frequency, variant porAf2 types were detected by parallel sequencing. The analysis pipeline retained only sequences found on 10 or more occasions across the dataset to minimise the effect of sequencing errors, and within any flock these rare variants of the porAf2 were often found in more than one sample, i.e. derived from more than one bird. The numbers of low frequency variants detected within flocks ranged between 20 and 148 for broiler flocks and 240 and 322 for breeder flocks (Table 2). Neighbour joining trees (Fig. 2) demonstrated that for each of the samples, the dominant and co-dominant genotypes formed a number of distinct genetic lineages, whilst the majority of the rare variants were very closely related to the dominant and co-dominant Campylobacter porAf2 types, most often representing a single nucleotide polymorphism. The nucleotide changes were detected across the length of the fragment, but they did not occur at every base and the majority (1445/1674, 86.3%) resulted in a new peptide sequence.
Rarefaction curves (Supplementary Fig. S1) demonstrated that sufficient sequencing depth was achieved in the study to recover most of the diversity of the Campylobacter porAf2 types present in each of the samples tested from individual birds. At a flock level the rarefaction curves for broiler faecal or caecal samples plateaued at between 50 and 100 porAf2 variants whereas for breeder flocks the rarefaction curves were only beginning to plateau at around 1000 to 1500 variants. The cumulative rarefaction curves using the 5 individual birds/flock suggested that this level of sampling captured the majority of genotypes present in broiler flocks (the lines overlie each other). In contrast, for the breeder flock faecal samples the stepped pattern indicated that adding more birds increased diversity of the detected porAf2 types. This was less evident with caecal samples.
Comparison between parallel sequencing and microbiological culture
Multiple colony picks
The dominant Campylobacter porAf2 type identified using the parallel sequencing approach was recovered for each of the broiler flock faecal samples tested using multiple colony picks from microbiological culture (Fig. 3). In all except three of the 15 faecal samples tested from broiler flocks, the dominant type was the only one recovered. In three faecal samples, a second porAf2 type was recovered at low frequency. For example, faecal samples from birds 1 and 4 in broiler flock B, revealed more than one dominant porAf2 type by direct parallel sequencing, whereas the colony pick approach only identified a single type. For faecal samples from breeder flock G the circumstance was more complex. Two of the dominant porAf2 types were detected using both methods but the colony pick approach underestimated the overall diversity in these birds compared to direct sequencing. In addition, the proportions of the colony pick detected genotypes did not match those detected by parallel sequencing.
The results from the broiler caecal contents samples, most often containing two co-dominant porAf2 types by parallel sequencing, were less consistently in agreement with colony pick results than for the broiler faecal samples. Whilst at least one of the co-dominant Campylobacter porAf2 types was recovered from the multiple colony picks from caecal contents samples, all but two of the colony pick analyses identified a single porAf2 type. For example, within caecal samples from broiler flock A the porAf2-2, type which was co-dominant in all five birds, was only detected in culture from bird 1 where it was the only genotype, and as a tiny proportion (<5%) in bird 2. For bird 3 in flock A, porAf2-4 type which represented ~20% of the parallel sequencing genotypes was the only genotype detected by the colony pick approach. Within caecal samples from broiler flock B, porAf2-5 type was not detected by colony pick despite being present in all four birds by parallel sequencing. With caecal samples from broiler flock D, three of the birds had a single dominant porAf2 type by either approach; however, other constituent genotypes detected at between 5–15% by parallel sequencing were not detected by colony pick. For caecal samples from breeder flock G, which contained diverse co-dominant genotypes by parallel sequencing, results from the colony pick approach were dominated by the same single genotype in all five birds. This genotype was one of the co-dominant genotypes, varying between ~10–40% of porAf2 genotypes identified by parallel sequencing, yet other co-dominant strains were not identified by colony pick genotyping.
Plate sweep approach
The plate-sweep approach, where porA parallel sequencing was performed using the DNA from all bacterial growth from mCCDA plates for samples from broiler flocks A and B, identified a broader range of Campylobater porAf2 types of between 45 and 85 genotypes/faecal sample, and 61 and 454 genotypes/caecal sample, which matched the direct sequenced samples with more accuracy than the colony pick approach (Fig. 4). These included rare genotypes that comprised <1% of the genotypes detected by direct sequencing of the faecal samples from both flock A and flock B. The plate sweep approach also produced a closer representation of the direct sequence diversity with the caecal samples, although with some samples there was evidence that some Campylobacter porAf2 genotypes grew more efficiently on agar than others (e.g. the porAf2-4 type in birds 3 and 4 from broiler flock A). The number of distinct porAf2 genotypes detected using direct sequencing or plate sweep-sequencing of individual birds were similar and contained highly overlapping populations of genotypes (97.0–99.9% of sequences) for both sample types from flock A and flock B (Fig. 4). The Bray-Curtis dissimilarity index values obtained when comparing direct porAf2 sequencing from samples with sweep sequencing were below 0.29 with the exception of three birds, which gave values of 0.50 to 0.68 (Supplementary Table S4). A Mann-Whitney U test comparing the porAf2 diversity between the direct samples and plate sweeps gave a U value of 28725, p 0.20, consistent with the null hypothesis that they shared the same Campylobacter porAf2 variants.
Patterns of shared and distinct genotypes revealed by direct porA parallel sequencing
During the course of this study, we identified 1670 different porAf2 types in four broiler flocks and three breeder flocks with 27 genotypes found in both types of flock (Fig. 5). The 27 genotypes comprised 83.6% of the total number of porAf2 types detected in breeder flocks, and 93.3% of those seen in broiler flocks (Fig. 5A). Similarly, when considering faecal samples from three broiler flocks from different farms (A, B and C), a small number (11/169) of porAf2 types were detected in all three flocks and all of the genotypes that were dominant in each individual flock were detected in all three flocks. Indeed, the 11 common porAf2 types represented between 87.8% and 98.2% of the sequences seen in individual flocks. A further 15 sequences were detected in samples from more than one farm. A very similar pattern was evident with the caecal samples from 3 broiler farms (A, B and D) with 15/231 types found in all three farms and these 15 represent the majority of total porAf2 types detected.
A similar analysis for the three breeder flocks revealed a different pattern. In this case flocks E and F were from the same farm separated by time (in 2014 and 2017) and flock G was from a different farm (2018). A large number of genotypes (624 of 1347) were present in all three flocks and these represented between 97.8 and 99.6% of all porAf2 genotypes detected in each of the three farms, with a further 374 shared between flock F and flock G. Breeder-derived caecal samples were only available for flocks F and G with 1198/1444 detected types being shared between both flocks (located at different farms) representing almost all (99.8 and 99.9%) of the sequences detected in each of the farms.
Campylobacter causes one of the most common foodborne zoonoses with transmission to humans most often linked to consumption of contaminated poultry products1,25. A 2008 survey found 71% of EU broiler chicken flocks to be Campylobacter positive at slaughter and despite concerted efforts, a reduction in the incidence of Campylobacter has proven very difficult to attain26. As obligate microaerobic bacteria, their persistence and ability to survive from farm to retail outlets is puzzling27. Labour intensive, culture-based molecular analyses typically focus on single, or a few colonies, per sample and therefore may not fully evaluate genetic diversity within samples, flocks, and individual birds. We applied a new approach, which focussed on a culture-independent assessment of Campylobacter genetic variation by direct amplification of a fragment of the hypervariable porA gene, followed by parallel sequencing.
Parallel-sequencing of the porA fragment amplicon identified 1670 porAf2 sequences amongst the samples tested in this study, many of which represented new porAf2 types. The small number of dominant porAf2 types identified amongst the flocks tested had been previously identified on the PubMLST Campylobacter database and may represent those variants that most successfully colonise and transmit among poultry flocks28. The majority of low frequency porAf2 types were closely related to the dominant genotypes at the nucleotide level, but often encoded a new peptide sequence. The PorA protein is thought to be under immune selection, and at least some of the low frequency variants may represent antigenically distinct variants21. Longitudinal sampling within individual birds, not easily possible under field circumstances, may identify fluctuations in the frequency of porA variants that relate to immune-mediated selection over time. Experimental infections with mixtures of Campylobacter strains did report a switch in the dominant strain at 27–30 days of age, which would be consistent with changes in population structure associated with immune pressure29. The porAf2 type was used as an indicator for Campylobacter genotype in this study. Whilst Campylobacter is genetically diverse, population studies based on multilocus sequence typing of housekeeping genes have identified more than 43 clonal complexes, many of which are associated with particular isolation sources21. Non-random association between porA fragment variants and clonal complexes have been demonstrated for Campylobacter, although the associations are not exclusive or predictive. Campylobacter strains with different porA fragment types are generally distinct at other loci, but it should be noted, that those with the same porA fragment type may also represent different strains, that would be apparent if additional genes were to be tested.
The parallel sequencing method also indicated differences in the Campylobacter porAf2 variants from the broiler and breeder flocks tested in this study. The broiler flocks were dominated by one or two porAf2 types, whereas the breeder flocks contained a much greater diversity. Within each broiler flock, tested just before slaughter, the one or two dominant genotypes comprised >80% (and often >95%) of the detected sequences, with a number of additional rare variants in each bird. Different birds within any broiler flock were typically very similar, dominated by the same porAf2 genotype as other members of the flock, as was identified in culture based studies that examined a single colony per sample14,30. Notably, the dominant porAf2 genotype usually differed between the broiler flocks, although the dominant genotypes in one broiler flock were identified as a rare component of other flocks. Cumulative rarefaction analysis indicated that there was little to be gained by sampling more than five birds from a broiler flock, which typically represents upwards of 20,000 individuals. The “simple” pattern of Campylobacter porAf2 diversity in broiler flocks may suggest that contamination of the flock is a rare event, with the successful strain expanding in the flock during the growth period.
Breeder flocks and the individual birds within these flocks contained a more diverse porAf2 gene pool than broilers, with evidence of co-dominance of up to 6 genotypes in each bird. The bird-to-bird variation was also much higher in the breeders than broilers. The breeder birds were much older than the broiler birds and the Campylobacter diversity is likely to be at least in part due to age31,32. Feed represents another important difference between breeders and broilers and this is known to affect the numbers of Campylobacter in single-strain initiated experimental systems32. In contrast to broiler flocks, the cumulative rarefaction analysis indicated that sampling additional birds increased detectable diversity in breeder birds.
Caecal samples from broiler birds consistently contained more variation in porAf2 genotypes (up to three types >10%) compared with faecal samples. Notably, the same porAf2 genotype was identified as most frequent in both faecal and caecal samples taken from any individual broiler flock. Our findings are consistent with those from a previous study that identified matching MLST types in faecal and caecal samples from broilers14. The additional variation in caecal versus faecal diversity detected in our study may reflect the fact that not all parts of the gut contribute to any individual faecal sample. For instance, some faecal samples are derived from a greater proportion of caecal material than others, indeed the caeca are blind-ended muscular pouches that periodically empty into the main digestive tract and it is possible to differentiate caecal-derived from non-caecal derived faecal material by colour and consistency. Microbiologically, the caeca can be sites where greater numbers of bacteria, including Campylobacter, are located33,34. The importance of sampling different types of material should be taken into account, depending upon the question being considered. In many cases non-invasive longitudinal sampling of faeces could be considered appropriate and these contain the most common Campylobacter genotypes.
When comparing the parallel sequencing results with microbiological culture, the dominant porAf2 type(s) were detected by both methods in all of the samples tested. There was some evidence of competitive over-representation of some porAf2 types following culture, and the proportional distribution of different porAf2 types was not always consistent between the two methods. This was particularly evident amongst broiler caecal samples, and faecal and caecal samples from breeder flocks, where the colony pick approach did not represent all of the co-dominant porAf2 types identified by parallel sequencing. The porAf2 profiles obtained from plate-sweeps (DNA sequenced from all bacterial growth on a plate) provided a much closer match to the direct sequencing profiles than colony picking, indicating that most porAf2 sequences were derived from culturable Campylobacter. These results highlight the potential for variation among studies that use different culture media and criteria for isolating Campylobacter for downstream analyses35,36,37,38.
Identifying the source of Campylobacter contamination in poultry of all types remains complex but very important in terms of developing new, more effective strategies to reduce poultry-related risks to human health6,8,39. We have shown the porA parallel sequencing approach to be an efficient and sensitive means by which the genetic diversity of Campylobacter can be investigated within samples from different types of chicken flock. This approach offers a new perspective that will impact our understanding of Campylobacter epidemiology, fitting alongside the current molecular-based MLST and whole-genome sequencing methods. It can be developed to target other loci within Campylobacter (eg. flaA), and may also be applicable to studying the molecular epidemiology of other human and animal pathogens.
Materials and Methods
Twenty fresh faecal samples were collected from live birds on the farm for each of three broiler flocks (flocks A, B and C) and two broiler breeder flocks (flocks F and G), shortly before they were taken for slaughter (Table 1). Similarly, twenty fresh faecal samples were collected from live birds from a third broiler breeder flock (flock E) aged 33 weeks, mid-way through their production cycle. From the sets of twenty faecal samples, five were chosen for each flock where separate Campylobacter colonies could sub-cultured. The broiler flocks were all sampled within 20 days of each other in the month of October 2017 (Table 1). The broiler breeder flocks were sampled in different years between 2014 and 2017, two in spring and one in winter. All flocks were housed and from the same company. All of the flocks were from different farms, with the exception of broiler breeder flocks E and F which were separated by another broiler breeder flock (not tested) in between. The broiler flocks were a standard commercial breed, mixed sex and thinned before slaughter.
Each of the faecal samples were collected from different areas across the house, to maximise the diversity of Campylobacter genotypes recovered, and were transported to the laboratory by post or courier at room temperature. Caecal samples were collected from three of the broiler flocks (A, B and D) at 37 to 39 days of age and also from two of the breeder flocks (F and G) aged 420–424 days and transported chilled to the laboratory. Five birds were chosen during the middle of processing of the flock to reduce the possibility of cross contamination from other flocks. It is unlikely they were the same individuals from which faecal samples were collected, but they were from the same house on the farm. It was not possible to collect caecal samples from flocks C and E, and faecal samples from broiler farm D were culture negative for Campylobacter before slaughter. All of the faecal samples and caecal contents were processed in the laboratory within 48 hours of collection, and then immediately stored at −80 °C prior to DNA extraction.
The faecal and caecal contents samples were stirred immediately before inoculating the tip of a swab onto mCCDA and spreading for single colonies. Both left and right caecal for a bird were cultured individually. The inoculated agar plates were incubated at 42 °C for 48 hours in a microaerobic atmosphere using the GenBox Microaer system (BioMerieux Ltd, UK). Presumptive Campylobacter colonies were identified by characteristic appearance, Gram, catalase and oxidase reactions. Where colonies formed distinct, rather than spreading colonies, up to five samples per flock were selected for subculture of between 22 and 50 colonies onto separate Columbia Blood agar plates (Oxoid, UK). These plates were then incubated for a further 48 hours at 42 °C in a microaerobic environment and examined for purity. The identity of each of the colonies was confirmed to be Campylobacter using porA short variable region (SVR) Sanger sequencing22. In addition, all bacterial growth from the mCCDA plate, referred to as a ‘plate sweep’, was harvested in 400 µl TE buffer for each of the samples and immediately stored at −80 °C.
Chromosomal DNA was extracted from the pure Campylobacter cultures by preparing dense cell suspensions in 250 µl PBS. These were placed in a boiling water bath for 10 minutes and then spun in a micro-centrifuge at 13,200 rpm for 5 minutes. The supernatant was retained and cellular debris discarded. Sanger sequencing was performed as previously published13,22. Briefly, 25 µl PCR reactions were performed in 96 well microtitre plates using the MOMP 3 F and 2 R primers22. PCR reactions were precipitated using PEG-NaCl and washed twice using cold 70% ethanol. 10 µl sequencing reactions were performed using BigDye V3 and the MOMP 3 F and 2 R primers. Sequencing reactions were precipitated using Sodium Acetate pH 5.2, and washed once using cold 70% ethanol. The sequencing reaction products were separated on an ABI 3730 automated DNA analyser. The DNA sequences were assembled and trimmed using the STARS and Staden software packages (ref). The porA fragment alleles were assigned using the PubMLST Campylobacter database (https://pubmlst.org/campylobacter/).
DNA was extracted directly from frozen faecal and caecal contents samples using the Maxwell 16 automated DNA extraction system (Promega, UK), alongside extraction controls containing lysis buffer only. The extractions were performed in a separate room from which Campylobacter was cultured and equipment was cleaned using DNA Zap (SigmaAldrich, UK) and 70% ethanol prior to use. From the frozen samples, 250 mg was scraped into individual microcentrifuge tubes containing a quarter volume of 0.5 mm zirconia/silica beads (Thistle Scientific, UK) and 600 µl lysis buffer from the Maxwell 16 LEV Blood kit (AS 1290, Promega, UK). The samples were put in a bead beater at high speed for 1 minute, and then heated at 95 °C for 10 minutes. They were then centrifuged at 13,200 rpm in a micro-centrifuge for 5 minutes before treatment with proteinase K at 56 °C for 20 minutes. The supernatant was then loaded into the Maxwell 16 LEV Blood kit cartridge on the Maxwell 16 DNA extraction robot, and DNA extraction performed following the manufacturer’s ‘Blood’ LEV extraction protocol.
DNA was extracted from ‘plate sweep’ samples using the Maxwell 16 Cell DNA purification kit (AS 1020, Promega, UK), alongside DNA extraction controls containing TE buffer only. All of the frozen plate sweep cell suspension in 400 µl TE buffer for each sample was thawed on ice, and then loaded into the Maxwell 16 Cell DNA purification kit cartridge on the Maxwell 16 DNA extraction robot. DNA extraction was performed following the manufacturer’s ‘SEV Blood/Cells’ protocol.
Presence of DNA in each of the extracted samples was confirmed using the Qubit. It was necessary to dilute the DNA 1:10 before use to overcome the effect of PCR inhibitors.
In a third ‘clean’ room, specifically purposed for PCR, 25 µl reactions were set-up using a newly designed MOMP B primer 5′-CCA CAA TTA TGG TTA GCT TA-3′ and one per reaction of 100 different MOMP 2 R primers tagged with 7 nucleotide ‘barcode’ sequences, allowing multiplexed reactions within sequencing libraries to be identified during downstream bioinformatics processing22. More than 2,000 porA short variable region sequences held on the http://pubMLST.org/campylobacter database were screened in order to design the MOMP B primer to amplify all variants. The high fidelity Phusion Hot Start Flex DNA polymerase enzyme (New England Biolabs, UK, M0535) was used according to the manufacturer’s recommendations. An annealing temperature of 58 °C was found to be optimal, giving the following thermocycling conditions; initial denaturation 98 °C for 30 seconds, 35 cycles of 98 °C for 10 seconds, 58 °C for 30 seconds, 72 °C for 30 seconds, and final extension of 72 °C for 10 minutes.
Up to 100 PCR reactions from different samples with individually tagged MOMB 2 R primers were combined with indexed primers to make a library to run on the MiSeq machine in a fourth separate room. From each of the triplicate PCR reactions, 2 µl was combined, and then cleaned using the MinElute PCR purification kit (28004, Qiagen, UK). Library preparation was performed using the NEB ultra DNA Library Prep kit for Illumina (E7370, New England Biolabs Inc, UK), following the manufacturer’s instructions, with no size selection. Indexing primers (New England Biolabs Inc, UK E7335S and E7500S) were used in order to run several different libraries on the MiSeq machine in parallel. TapeStation (Agilent Genomics) and qPCR (E7630L, New England Biolabs, UK) analyses were used to confirm expected template size and success of the library preparation before loading onto the MiSeq along with 5% phiX. The 600-cycle MiSeq Reagent Kit v3 (Illumina, UK, MS-102-3003) was used, giving paired 300 nucleotide reads.
Downstream processing of MiSeq data
Barcoded reads were demultiplexed using custom Python scripts, and terminal primer sequences trimmed. Any reads still containing a copy of either primer sequence after this trimming were identified using cutadapt v1.15, and excluded from further analyses on the assumption that they represent PCR artefacts (e.g. concatamers)40. The fastq_eestats2 command in USEARCH v10.0.240 as used to show that 3′-trimming to 270 bp to would adequately remove low quality sequence41. DADA2 1.8 was then used to trim reads, filter to <=1 expected errors/read, assign sequence variants (using pooled sequences), merge read-pairs, and remove chimeras (using the removeBimeraDenovo() function with method = “consensus”)42.
The porA SVR fragment nucleotide sequences were aligned in MEGA to confirm they were legitimate coding sequence for the correct species and gene fragment – all were from the Campylobacter porA SVR as expected43. The first nucleotide was trimmed so that the sequence was in open reading frame to give an equivalent amino acid sequence. The 3′ end of the sequence was trimmed by approximately 20 nucleotides to match porA SVR alleles that were previously defined on the PubMLST Campylobacter database (https://pubmlst.org/campylobacter/), for a Sanger sequencing based method, making the two systems compatible23. A small number of sequences containing stop codons were removed from analysis. The nucleotide sequences were also translated into amino acid sequence using MEGA. Each of the porAf2 alleles and corresponding PorAf2 peptide sequences were added to a new scheme on the PubMLST database making them publically available. Since it is impossible to tell apart rarely occurring sequencing errors, and rarely occurring porAf2 sequences, a conservative approach was taken, removing all porAf2 sequences that occurred 10 times or fewer across the total data set from further analysis.
Diversity and dissimilarity indexes
A modified Simpson’s diversity index was calculated for each of the sample types (faecal, caecal and plate sweep samples) where available, for each of the 4 broiler farms and 3 breeder farms44. They were calculated both for raw data and for data that had been subsampled using the stochastic method employed by USearch v1141. A 1-D-value of 1.0 indicated that each member of a population could be distinguished from every other, and a 1-D-value of 0 indicated that all members of a population were identical. Calculations were performed using the Paleontological statistics (PAST) software package45.
The Bray-Curtis dissimilarity index was used to compare the populations of Campylobacter porAf2 genotypes between birds from the same flock (alpha diversity) and between birds from the different flocks (beta diversity) using data subsampled to the lowest denominator of sequencing reads recovered. For alpha diversity calculations of individual birds, reads were subsampled to 1,000 for faecal, caecal and plate sweep samples from broiler birds, and to 19,000 for faecal samples and 45,000 for caecal samples from breeder birds. For beta diversity calculations, all sets of samples were subsampled to 10,000 reads. A Bray-Curtis value of 0 meant the two flocks have the same Campylobacter porAf2 distribution, and a value of 1 meant the two flocks did not share any porAf2 alleles46. The Bray-Curtis calculations were performed using the R software ‘vegan’ package47.
Analyses other than the diversity and dissimilarity indexes were performed using raw, rather than subsampled data. Rarefaction curves were generated using PAST software for (a) samples combined for each farm and sample type, and for (b) to show cumulative effect of adding results from consecutively sampled birds on a farm for each sample type45. A non-parametric, two tailed Mann-Whitney test to compare the distribution of porAf2 populations between broiler/breeder flocks, and direct/plate sweep samples was also performed using PAST software.
Neighbour joining trees were generated using MEGA 7 software and the maximum composite likelihood method43 and displayed using Figtree v1.4.3 (http://tree.bio.ed.ac.uk/software/figtree/). The neighbour joining tree in Fig. 2, panel (A) was annotated using the Interactive Tree of Life (iTOL) 4.2.3 software package48.
This study used broiler flocks that were reared commercially by industry partners, in line with standard industry practice. We performed non-invasive microbiological sampling and thus the need for approval under the Animals (Scientific Procedures) Act of 1986 was waived. All prevailing local, national and international regulations and conventions, and normal scientific ethical practices have been respected.
Sheppard, S. K. et al. Campylobacter genotyping to determine the source of human infection. Clin. Infect. Dis. 48, 1072–1078 (2009).
Ghareeb, K., Awad, W. A., Mohnl, M. & Schatzmayr, G. Control strategies for Campylobacter infection in poultry production. Worlds Poult. Sci. J. 69(1), 57–76 (2013).
Hermans, D. et al. Intestinal mucus protects Campylobacter jejuni in the ceca of colonized broiler chickens against the bactericidal effects of medium-chain fatty acids. Poult. Sci. 89, 1144–1155 (2010).
Boysen, L., Wechter, N. S. & Rosenquist, H. Effects of decontamination at varying contamination levels of on broiler meat. Poult Sci 92, 1425–1429 (2013).
Agunos, A., Waddell, L., Leger, D. & Taboada, E. A systematic review characterizing on-farm sources of Campylobacter spp. for broiler chickens. PLoS One 9, e104905 (2014).
Nather, G., Alter, T., Martin, A. & Ellerbroek, L. Analysis of risk factors for Campylobacter species infection in broiler flocks. Poult. Sci. 88, 1299–1305 (2009).
Newell, D. G. et al. Biosecurity-based interventions and strategies to reduce Campylobacter spp. on poultry farms. Appl. Environ. Microbiol. 77, 8605–8614 (2011).
Newell, D. G. & Fearnley, C. Sources of Campylobacter colonization in broiler chickens. Appl. Environ. Microbiol. 69, 4343–4351 (2003).
Sandberg, M. et al. Risk factors for Campylobacter colonization in Danish broiler flocks, 2010 to 2011. Poult. Sci. 94, 447–453 (2015).
Sasaki, Y. et al. Risk factors for Campylobacter colonization in broiler flocks in Japan. Zoonoses Public Health 58, 350–356 (2011).
Sommer, H. M., Heuer, O. E., Sorensen, A. I. & Madsen, M. Analysis of factors important for the occurrence of Campylobacter in Danish broiler flocks. Prev. Vet. Med. 111, 100–111 (2013).
Cody, A. J., Bray, J. E., Jolley, K. A., McCarthy, N. D. & Maiden, M. C. J. Core Genome Multilocus Sequence Typing Scheme for Stable, Comparative Analyses of Campylobacter jejuni and C. coli Human Disease Isolates. J. Clin. Microbiol. 55, 2086–2097 (2017).
Dingle, K. E. et al. Multilocus sequence typing system for Campylobacter jejuni. J. Clin. Microbiol. 39, 14–23 (2001).
Vidal, A. B. et al. Genetic Diversity of Campylobacter jejuni and Campylobacter coli Isolates from Conventional Broiler Flocks and the Impacts of Sampling Strategy and Laboratory Method. Appl. Environ. Microbiol. 82, 2347–2355 (2016).
Jorgensen, F. et al. Influence of season and geography on Campylobacter jejuni and C. coli subtypes in housed broiler flocks reared in Great Britain. Appl. Environ. Microbiol. 77, 3741–3748 (2011).
Piccirillo, A. et al. Multilocus sequence typing of Campylobacter jejuni and Campylobacter coli from humans and chickens in North-Eastern Italy. New Microbiol. 37, 557–562 (2014).
Thepault, A. et al. A representative overview of the genetic diversity and lipooligosaccharide sialylation in Campylobacter jejuni along the broiler production chain in France and its comparison with human isolates. Int. J. Food Microbiol. 274, 20–30 (2018).
Ingresa-Capaccioni, S. et al. Campylobacter epidemiology from breeders to their progeny in Eastern Spain. Poult. Sci. 95, 676–683 (2016).
Colles, F. M., McCarthy, N. D., Sheppard, S. K. & Layton, R. & Maiden, M. C. Comparison of Campylobacter populations isolated from a free-range broiler flock before and after slaughter. Int. J. Food Microbiol. 137, 259–264 (2010).
Anonymous. United Kingdom Poultry and Poultry Meat Statistics – August 2018. (2018).
Cody, A. J., Maiden, M. J. & Dingle, K. E. Genetic diversity and stability of the porA allele as a genetic marker in human Campylobacter infection. Microbiology 155, 4145–4154 (2009).
Dingle, K. E., McCarthy, N. D., Cody, A. J. & Peto, T. E. & Maiden, M. C. Extended sequence typing of Campylobacter spp., United Kingdom. Emerg. Infect. Dis. 14, 1620–1622 (2008).
Jolley, K. A. & Maiden, M. C. Using multilocus sequence typing to study bacterial variation: prospects in the genomic era. Future Microbiol. 9, 623–630 (2014).
Sheppard, S. K., Jolley, K. A. & Maiden, M. C. A Gene-By-Gene Approach to Bacterial Population Genomics: Whole Genome MLST of Campylobacter. Genes (Basel) 3, (261–277 (2012).
Ravel, A. et al. Source attribution of human campylobacteriosis at the point of exposure by combining comparative exposure assessment and subtype comparison based on comparative genomic fingerprinting. PLoS One 12, e0183790 (2017).
Authority, E. F. S. Analysis of the baseline survey on the prevalence of Campylobacter in broiler batches and of Campylobacter and Salmonella on broiler carcasses in the EU, 2008. 8(03):1503 (2010).
Tresse, O., Alvarez-Ordonez, A. & Connerton, I. F. Editorial: About the Foodborne Pathogen Campylobacter. Front. Microbiol. 8, 1908 (2017).
Buckee, C. O., Gupta, S., Kriz, P., Maiden, M. C. & Jolley, K. A. Long-term evolution of antigen repertoires among carried meningococci. Proc. Biol. Sci. 277, 1635–1641 (2010).
Skanseng, B. et al. Co-infection dynamics of a major food-borne zoonotic pathogen in chicken. PLoS Pathog. 3, e175 (2007).
Colles, F. M. et al. Campylobacter infection of broiler chickens in a free-range environment. Environ. Microbiol. 10, 2042–2050 (2008).
Colles, F. M., McCarthy, N. D., Layton, R. & Maiden, M. C. The prevalence of Campylobacter amongst a free-range broiler breeder flock was primarily affected by flock age. PLoS One 6, e22825 (2011).
Han, Z. et al. Differences in host breed and diet influence colonization by Campylobacter jejuni and induction of local immune responses in chicken. Gut Pathog. 8, 56 (2016).
Hermans, D. et al. Poultry as a host for the zoonotic pathogen Campylobacter jejuni. Vector Borne Zoonotic Dis. 12, 89–98 (2012).
Sakaridis, I. et al. Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden. Front. Microbiol. 9, 927 (2018).
Baylis, C. L., MacPhee, S., Martin, K. W., Humphrey, T. J. & Betts, R. P. Comparison of three enrichment media for the isolation of Campylobacter spp. from foods. J. Appl. Microbiol. 89, 884–891 (2000).
Endtz, H. P. et al. Comparison of six media, including a semisolid agar, for the isolation of various Campylobacter species from stool specimens. J. Clin. Microbiol. 29, 1007–1010 (1991).
Rodgers, J. D., Simpkin, E., Lee, R., Clifton-Hadley, F. A. & Vidal, A. B. Sensitivity of Direct Culture, Enrichment and PCR for Detection of Campylobacter jejuni and C. coli in Broiler Flocks at Slaughter. Zoonoses Public Health 64, 262–271 (2017).
Williams, L. K. et al. Enrichment culture can bias the isolation of Campylobacter subtypes. Epidemiol. Infect. 140, 1227–1235 (2012).
Hald, B., Skovgard, H., Pedersen, K. & Bunkenborg, H. Influxed insects as vectors for Campylobacter jejuni and Campylobacter coli in Danish broiler houses. Poult. Sci. 87, 1428–1434 (2008).
Martin, M. Cutadapt Removes Adapter Sequences From High-Throughput Sequencing Reads. 17, 10-12, https://journal.embnet.org/index.php/embnetjournal/article/view/200 (2011).
Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461 (2010).
Callahan, B. J. et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).
Kumar, S., Stecher, G. & Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 33, 1870–1874 (2016).
Hunter, P. R. Reproducibility and indices of discriminatory power of microbial typing methods. J. Clin. Microbiol. 28, 1903–1905 (1990).
Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST:Paleontological statistics software for education and data analysis. 9pp (2001).
Bray, J. R. & Curtis, J. T. An ordination of upland forest communities of southern Wisconsin. Ecological Monographs 27, 325–349 (1957).
Oksanen, J. et al. Vegan: Community Ecology Package. R Package Version 2, 3–5 (2016).
Letunic, I. & Bork, P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 44, W242–245 (2016).
This work was funded by the Biotechnology and Biological Science Research Council as part of the Animal Health and Welfare ERA-net call, (grant number BB/N023803/1) and the Wellcome Trust (grant number 087622 to M.C.J.M.). Martin Maiden is affiliated to the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Gastrointestinal Infections at the University of Liverpool in partnership with Public Health England (PHE), in collaboration with University of East Anglia, University of Oxford and the Quadram Institute. Martin Maiden is based at the University of Oxford. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, the Department of Health, or Public Health England. We gratefully acknowledge in-kind support from a poultry meat integration company who provided all of the samples. We also thank Marian Dawkins for comments on the manuscript, and Amanda Williams and Rebecca Busby from the Oxford University Zoology Department Sequencing Service for their technical assistance.
The authors declare no competing interests.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Colles, F.M., Preston, S.G., Barfod, K.K. et al. Parallel sequencing of porA reveals a complex pattern of Campylobacter genotypes that differs between broiler and broiler breeder chickens. Sci Rep 9, 6204 (2019). https://doi.org/10.1038/s41598-019-42207-9
This article is cited by
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.