Phenon cluster analysis as a method to investigate epidemiological relatedness between sources of Campylobacter jejuni

To develop a method for assessing the relative epidemiological significance of possible infection sources for human campylobacteriosis. Using fluorescent amplified fragment length polymorphism (AFLP), 243 apparently epidemiologically unrelated Campylobacter jejuni isolates were genotyped (77 human,...

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Veröffentlicht in:Journal of applied microbiology 2006-02, Vol.100 (2), p.316-324
Hauptverfasser: Wieland, B, Wittwer, M, Regula, G, Wassenaar, T.M, Burnens, A.P, Keller, J, Stärk, K.D.C
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container_issue 2
container_start_page 316
container_title Journal of applied microbiology
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creator Wieland, B
Wittwer, M
Regula, G
Wassenaar, T.M
Burnens, A.P
Keller, J
Stärk, K.D.C
description To develop a method for assessing the relative epidemiological significance of possible infection sources for human campylobacteriosis. Using fluorescent amplified fragment length polymorphism (AFLP), 243 apparently epidemiologically unrelated Campylobacter jejuni isolates were genotyped (77 human, 46 cattle, 49 pet and 71 poultry isolates). In total 136 different phena were identified, of which 48 were clusters grouping at least two isolates. Isolates from different sources were frequently clustered together, underlining the high degree of source mixing and the lack of host specificity of C. jejuni. The phena were classified into different phenon types according to the sources of the isolates they contained. The occurrence of these phenon types was analysed using an area-proportional Euler diagram to describe epidemiological relatedness among C. jejuni isolates. Group separation statistics revealed that 43% of analysed human isolates expressed maximum similarity to other human isolates, 9% to cattle isolates, 21% to pet isolates and 27% to poultry isolates; these results were in accordance with the pattern observed in the phenon cluster analysis. Based on the grouping of strains into molecular similarity clusters, ecological patterns between sources can be investigated. This approach is a new methodological contribution to establish the relative epidemiological significance of concurrent infection sources.
doi_str_mv 10.1111/j.1365-2672.2005.02788.x
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Using fluorescent amplified fragment length polymorphism (AFLP), 243 apparently epidemiologically unrelated Campylobacter jejuni isolates were genotyped (77 human, 46 cattle, 49 pet and 71 poultry isolates). In total 136 different phena were identified, of which 48 were clusters grouping at least two isolates. Isolates from different sources were frequently clustered together, underlining the high degree of source mixing and the lack of host specificity of C. jejuni. The phena were classified into different phenon types according to the sources of the isolates they contained. The occurrence of these phenon types was analysed using an area-proportional Euler diagram to describe epidemiological relatedness among C. jejuni isolates. Group separation statistics revealed that 43% of analysed human isolates expressed maximum similarity to other human isolates, 9% to cattle isolates, 21% to pet isolates and 27% to poultry isolates; these results were in accordance with the pattern observed in the phenon cluster analysis. Based on the grouping of strains into molecular similarity clusters, ecological patterns between sources can be investigated. 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Group separation statistics revealed that 43% of analysed human isolates expressed maximum similarity to other human isolates, 9% to cattle isolates, 21% to pet isolates and 27% to poultry isolates; these results were in accordance with the pattern observed in the phenon cluster analysis. Based on the grouping of strains into molecular similarity clusters, ecological patterns between sources can be investigated. 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Using fluorescent amplified fragment length polymorphism (AFLP), 243 apparently epidemiologically unrelated Campylobacter jejuni isolates were genotyped (77 human, 46 cattle, 49 pet and 71 poultry isolates). In total 136 different phena were identified, of which 48 were clusters grouping at least two isolates. Isolates from different sources were frequently clustered together, underlining the high degree of source mixing and the lack of host specificity of C. jejuni. The phena were classified into different phenon types according to the sources of the isolates they contained. The occurrence of these phenon types was analysed using an area-proportional Euler diagram to describe epidemiological relatedness among C. jejuni isolates. Group separation statistics revealed that 43% of analysed human isolates expressed maximum similarity to other human isolates, 9% to cattle isolates, 21% to pet isolates and 27% to poultry isolates; these results were in accordance with the pattern observed in the phenon cluster analysis. Based on the grouping of strains into molecular similarity clusters, ecological patterns between sources can be investigated. This approach is a new methodological contribution to establish the relative epidemiological significance of concurrent infection sources.</abstract><cop>Oxford, UK</cop><pub>Blackwell Science Ltd</pub><pmid>16430508</pmid><doi>10.1111/j.1365-2672.2005.02788.x</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects amplified fragment length polymorphism
Animals
Animals, Domestic - microbiology
Biological and medical sciences
Campylobacter Infections - epidemiology
Campylobacter Infections - genetics
Campylobacter Infections - transmission
Campylobacter jejuni
Campylobacter jejuni - isolation & purification
campylobacteriosis
Cat Diseases - epidemiology
Cat Diseases - genetics
Cat Diseases - transmission
Cats
Cattle
Cattle Diseases - epidemiology
Cattle Diseases - genetics
Cattle Diseases - transmission
Cluster Analysis
Dog Diseases - epidemiology
Dog Diseases - genetics
Dog Diseases - transmission
Dogs
fluorescence
Fundamental and applied biological sciences. Psychology
Genotype
host specificity
Humans
Microbiology
mixed infection
molecular epidemiology
pets
Polymorphism, Genetic - genetics
Poultry
Poultry Diseases - epidemiology
Poultry Diseases - genetics
Poultry Diseases - transmission
source identification
zoonoses
Zoonoses - epidemiology
Zoonoses - transmission
title Phenon cluster analysis as a method to investigate epidemiological relatedness between sources of Campylobacter jejuni
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