Previous Article | Next Article ![]()
Journal of Clinical Microbiology, January 2004, p. 229-235, Vol. 42, No. 1
0095-1137/04/$08.00+0 DOI: 10.1128/JCM.42.1.229-235.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Specialist & Reference Microbiology Division, Health Protection Agency, London NW9 5HT, United Kingdom
Received 2 June 2003/ Returned for modification 9 July 2003/ Accepted 15 October 2003
|
|
|---|
|
|
|---|
A number of phenotypic methods have been used in epidemiological investigations of Campylobacter infection. Serotyping has been suggested as the practical solution for large-scale surveillance of Campylobacter (22) and is current practice for routine reference typing in England and Wales, along with phage typing (9). Serotyping detects soluble heat-stable (HS) antigens (23) or heat-labile antigens (15) exposed on the cell surface. Frost et al. (10) modified the Penner serotyping scheme by introducing absorbed antisera and using whole-cell agglutination to eliminate nonspecific agglutination reactions and reduce the number of cross-reactions. However, the majority of Campylobacter isolates belong to a limited number of HS serotypes (10, 26), so that phage typing is used to further discriminate between the predominant serotypes (9). However, the high number of untypeable strains and time-consuming and technically demanding protocols are limiting factors (29).
Molecular genotyping techniques may assist in epidemiological investigations as well as being useful in identifying strains or successful clones and their possible association to certain hosts. Comparison of pulsed-field gel electrophoresis, fla gene typing, ribotyping, and fluorescent amplified fragment length polymorphism analysis (FAFLP) for the genotyping of thermotolerant Campylobacter suggested that FAFLP is the most discriminatory of these methods (1, 14). A study comparing FAFLP with multilocus sequence typing (MLST) resulted in similar clustering of the strains in both; therefore, the two methods may be equally useful in disclosing genetic relationships (25). FAFLP has been suggested as the most promising method for global epidemiological studies due to its apparent insensitivity to the genetic instability of Campylobacter that complicates other typing methods (29). FAFLP samples the genome in an unweighted manner and has the potential to discover as yet unidentified genes. It has already proved to be a powerful tool for identifying molecular markers in the study of the epidemiology, pathogenicity, and genetic variation of various genera (8, 28).
The aim of this study was to apply a standardized genome sequence-based FAFLP to a well-defined collection of Campylobacter jejuni and Campylobacter coli strains from animal hosts, retail meat, and human infection and to investigate the possibility that certain genotypes are associated with a particular host. FAFLP genotypes were also compared with HS serotypes and phage types to determine the degree of association between them.
|
|
|---|
|
View this table: [in a new window] |
TABLE 1. Strain collection: origin and source
|
Fragment analysis. Fluorescent amplified fragments (AFs) were sized with GeneScan 3.1.0 software (AB). The data were transferred to GenoTyper 2.5 software (AB), and AFs were scored as present or absent in a binary matrix, using a tolerance level of ±0.5 bp. Binary data were exported for storage in Excel version 6.0 (Microsoft) before being imported into Bionumerics software version 3.0 (Applied Maths, Kortrijk, Belgium). Cluster analysis was performed and a dendrogram was constructed in Bionumerics using the Dice similarity coefficient, bootstrap analysis, and the unweighted pair group method with arithmetic averages. Group separation statistical analysis was performed to determine the internal stabilities (significance) of the defined groups (origin, HS serotype, phage type, and serophage type) with five or more strains. This was performed within Bionumerics using the Jacknife method with the maximum similarity setting and equal distribution over the groups when identical values were found for different groups.
|
|
|---|
Previous studies have shown that FAFLP profiles sharing
90% similarity are genetically highly related and often represent epidemiologically related strains (6, 25). Within the C. coli strains, 16 clusters (two or more strains) were defined at
90% similarity, and 63.2% of the C. coli strains were assigned to these clusters (Fig. 1). Within the C. jejuni strains, 38 clusters (two or more strains) were defined at
90% similarity and 81.5% of C. jejuni strains fell into these clusters (data not shown). To simplify analysis, the number of strains of C. jejuni in each of the 38 FAFLP-defined clusters (C1 to C38), together with their source, was used to construct a frequency distribution graph (Fig. 2).
![]() View larger version (17K): [in a new window] |
FIG. 1. Dendrogram showing the relationship between FAFLP genotypes and host in C. coli. Cluster analysis was performed, and the dendrogram was constructed with Bionumerics version 3.0, using the unweighted pair group method with arithmetic averages and the Dice similarity coefficient. The horizontal scale indicates percent genetic similarity between strains, with 90% genetic similarity indicated by a dotted line. Symbols represent the source: , live poultry; , chicken portion; , bovine liver; , live pig; , porcine liver.
|
![]() View larger version (22K): [in a new window] |
FIG. 2. Frequency distribution of C. jejuni FAFLP-defined clusters (containing 2 strains defined at 90% similarity) with respect to source: [ , live pigs or porcine liver;
|
Group separation analysis was also applied to determine whether C. coli FAFLP profiles could be separated into groups based on HS serotype, on phage type, and on serophage type (Table 2). Serotypes HS56 and 66 were the most statistically significant groups, related to >60% of other profiles with the same HS serotype (Table 2). None of the HS24 profiles were most closely related to other HS24 profiles. The phage type 2 (PT2) group was the most significant: 75% of FAFLP profiles from PT2 strains were most closely related to other profiles of PT2 strains (Table 2), while the PT44 group had the least internal stability: only 16.7% of profiles were most closely related to profiles of other PT44 strains. As expected, a serophage type comprising an HS serotype and a phage type that were highly significant when analyzed separately gave a high internal stability in combined form (Table 2). One hundred percent of HS56/PT2 profiles were most closely related to other HS56/PT2 profiles.
|
View this table: [in a new window] |
TABLE 2. Internal stability (significance) of FAFLP-defined C. coli strain clusters in association with HS serotype, phage type, and serophage type
|
Group separation analysis revealed that the poultry, cattle, and human FAFLP profiles were most closely related to other profiles of the same host group (Table 3). Pig FAFLP profiles appeared to be less host specific and were more closely related to cattle and poultry profiles than to other pig profiles (Table 3). In addition, less than 3% of human, poultry, or cattle profiles were closely related to pig profiles. The occurrence of every single AF was compared in each host to determine whether host specificity could be attributed to a single AF or subset of AFs or if there were any AFs that were predominantly present in a particular host and not in others. However, none of the C. jejuni-derived AFs was specific for a particular host, i.e., they also occurred at least occasionally in strains from other hosts.
|
View this table: [in a new window] |
TABLE 3. Significance of FAFLP-defined C. jejuni strain clusters in association with host specificity
|
|
View this table: [in a new window] |
TABLE 4. Internal stability (significance) of FAFLP-defined C. jejuni strain clusters in association with HS serotype
|
|
View this table: [in a new window] |
TABLE 5. Internal stability (significance) of FAFLP-defined C. jejuni strain clusters in association with phage type
|
|
View this table: [in a new window] |
TABLE 6. Internal stability (significance) of defined C. jejuni strain clusters in association with serophage type
|
|
|
|---|
In this study, two C. jejuni and 13 C. coli species-specific marker AFs were found, which may correlate with virulence or other strain characteristics. The two C. jejuni marker AFs, a putative lipoprotein gene and the 50S ribosomal protein L10 gene, may represent potential new species-specific markers, and further investigation of these genes is required. It has been shown in other studies that FAFLP analysis permits the identification of all Campylobacter spp., and therefore FAFLP has the advantage of concurrent species identification and genotyping (7, 18).
A variety of typing methods have been used in previous studies to investigate possible host specificity in C. jejuni. MLST studies have suggested differences in the frequency distribution by source of strains belonging to particular clonal complexes; certain complexes were overrepresented by strains from a particular source (4, 5, 25). Pulsed-field gel electrophoresis using three different restriction enzymes also identified clones found in cattle, poultry, and humans (19). However, restriction fragment length polymorphism analysis of the flaA gene using EcoRI and PstI showed that most flaA types were associated with several hosts (20).
Identification of markers of host specificity would enable human Campylobacter isolates to be screened to identify the most common sources of infection, and this information could then be used to introduce targeted intervention strategies. This study reports the first investigation of host specificity to be applied to both C. jejuni and C. coli strains. FAFLP cluster analysis and group separation suggested that C. coli poultry and pig strains are genetically distinct, and although the strain collection included relatively small numbers of poultry-derived strains, this may be evidence of host specificity in C. coli. Campylobacter coli accounts for only about 7 to 10% of human campylobacter infections (11, 12) and is therefore less of a disease burden than C. jejuni. However, the overall number of C. coli infections each year makes a significant contribution to the burden of foodborne disease in England and Wales (27). Nevertheless, data presented in this study may have significant implications for the epidemiology and control of C. coli. Genotypic differences identified by FAFLP between strains from different hosts could indicate a decreased likelihood of successful transmission between hosts and perhaps lead to a genetically based explanation for this.
FAFLP analysis failed to show evidence of a link between genotype and host specificity in C. jejuni strains, which is consistent with results of previous studies (6, 8, 25). However, group separation analysis of the FAFLP data, as presented here, can be used to study the relationships between the genotypes recovered from different hosts. In our study of the C. jejuni FAFLP data, cattle appeared to be as important a source of human infection as poultry. Only 15.5% of human strains were closely related to poultry strains, and only 10.5% of poultry strains were most closely related to human strains, compared to 19.1% of human strains that were closely related to cattle strains and 15.5% of cattle strains that were closely related to human strains. Although consumption of contaminated poultry products is believed to be a major route of infection, only a subset of poultry strains may be capable of infecting humans, and therefore, other sources of infection, such as cattle, may be equally important.
There were some contrasts between our results and those of a recent study by Schouls et al. (25). They noted an unexpected association between cattle and human strains. More than 50% of cattle FAFLP (and MLST) types had their closest relatives in human strains, and only 29% of cattle strains were most closely related to other cattle strains. We found, however, that 78.6% of cattle strains were most closely related to other cattle strains and only 15.5% were more closely related to human strains. This difference may be due to the relatively small number of cattle strains (31 strains) examined in the study by Schouls et al. (25) in comparison to the number analyzed in our study (85 strains), or it may be a feature of the particular strains in each study. The majority of cattle strains studied by Schouls et al. (25) were isolated in The Netherlands, and a possible explanation may be that cattle and humans were colonized from a common source that is absent in the United Kingdom, from where the majority of our cattle strains were obtained, or the environmental sources of C. jejuni in cattle may differ in the two countries.
Our earlier comparison between FAFLP genotype and serotype showed that some serotypes were genetically homogeneous and found in discrete clusters, while other serotypes were more genetically heterogeneous and exhibited a lack of congruence with the FAFLP genotype (2). In the present study, analysis of more strains and application of the group statistical method allowed a fuller comparison of FAFLP and serotyping data for C. jejuni and C. coli strains. Strains of C. coli serotypes HS66 and HS56 and C. jejuni HS18 and HS19 strains were genetically the most homogeneous, whereas C. coli HS24 and C. jejuni HS5 serotypes were genetically the most heterogeneous. Serotypes HS13, HS16, and HS50 form part of the HS4 complex and can cross-react during serotyping (10, 16). This finding is supported to an extent by group separation of the HS13 and HS16 FAFLP genotypes. Investigation of MLST type and serotype has found in some cases that membership in a lineage or sequence type correlated with possession of a particular Penner HS serotype, while members of other sequence type complexes were highly diverse for serotype (4, 5). In general, however, serotype was a poor indicator of a clonal complex. Campylobacter is capable of colonizing multiple hosts and environments; if the cell surface antigens responsible for determining serotype are also important in colonization of the host or adaptation to the environment, then the discrepancies between genotype and serotype may be the result of exposure to many different host immune responses and environmental pressures (4).
Phage typing is used as an extension to serotyping to allow a further level of discrimination between strains. Comparison of C. coli FAFLP genotype and phage type data showed that PT2, which accounts for more than half of the strains (9), was the most closely related FAFLP-defined group of strains and is therefore a good epidemiological marker. By FAFLP analysis, PT6 and PT33 were the most closely related groups of C. jejuni strains. However, the PT1 group (the most prevalent phage type in C. jejuni, accounting for 19.6% of strains) was only 57.3% genetically similar to other PT1 strains. The PT1 phage type is defined on the basis of sensitivity to two related phages, but this reaction is difficult to reproduce and so may result in misidentification (9).
Combining phage typing with serotyping allows identification of 6 to 29 phage types within each of the predominant serotypes, although within some serotypes only one or two phage types predominate, possibly indicating a closer epidemiological relationship (9). With 66 different HS serotypes and 76 phage types, a total possible 5,016 serophage types could be identified if the two characteristics are unrelated (10). In this study, as expected, a serophage type comprised of a HS serotype and a phage type that gave good differentiation between strains was a good marker of genetic relatedness. However, there were exceptions, such as C. jejuni HS50/PT33, which was a poor marker of genetic relatedness. These data reinforce the need for a highly discriminatory genotypic method or combination of methods, as well as phenotypic typing to be available for epidemiological studies to allow the recognition of unrelated strains in an investigation, for example, of outbreaks or sources of infection. Tracing the source of infection is complicated by the carriage of multiple types and the high genetic diversity of strains within numerous hosts (25). This study, along with previous studies, has demonstrated that genotyping of C. jejuni by FAFLP, as with other methods, may not be fully effective in tracing sources of infection. However, FAFLP has revealed that pig and poultry C. coli strains may be genetically distinct, and this requires confirmation.
Between 18.9 and 36.6% of C. jejuni and C. coli isolates are untypeable using the current antiserum panel for serotyping (10, 16). At present new serotypes are derived from clusters of untypeable strains that have common profiles by one or more fingerprinting techniques, and therefore, the data produced in this study may prove useful in generating new serotypes and lowering the percentage of untypeable strains. Alternatively, AFs that are specific to strains of particular epidemiological importance could be used as markers in the form of PCR assays or DNA arrays. Identification and meaningful subtyping of Campylobacter have proved challenging. The data presented here show that FAFLP genotyping is capable of identifying Campylobacter strains to the species level and of concurrently subtyping strains in an information-rich genotyping scheme.
We thank D. Newell and staff at the Veterinary Laboratory Agency, Weybridge, and D. Wareing and staff at the Campylobacter Collaborating Unit, Preston Microbiology Laboratory, for providing strains and epidemiological data. We thank Philip Mortimer for critical reading of the manuscript.
|
|
|---|
This article has been cited by other articles:
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»