Whole genome sequencing data used for surveillance of Campylobacter infections: Detection of a large continuous outbreak, Denmark, 2019
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Whole genome sequencing data used for surveillance of Campylobacter infections : Detection of a large continuous outbreak, Denmark, 2019. / Joensen, Katrine Grimstrup; Schjørring, Susanne; Gantzhorn, Mette Rørbak; Vester, Camilla Thougaard; Nielsen, Hans Linde; Engberg, Jørgen Harald; Holt, Hanne Marie; Ethelberg, Steen; Muller, Luise; Sandø, Gudrun; Nielsen, Eva Møller.
I: Eurosurveillance, Bind 26, Nr. 22, 2021.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Whole genome sequencing data used for surveillance of Campylobacter infections
T2 - Detection of a large continuous outbreak, Denmark, 2019
AU - Joensen, Katrine Grimstrup
AU - Schjørring, Susanne
AU - Gantzhorn, Mette Rørbak
AU - Vester, Camilla Thougaard
AU - Nielsen, Hans Linde
AU - Engberg, Jørgen Harald
AU - Holt, Hanne Marie
AU - Ethelberg, Steen
AU - Muller, Luise
AU - Sandø, Gudrun
AU - Nielsen, Eva Møller
N1 - Publisher Copyright: © 2021 European Centre for Disease Prevention and Control (ECDC). All rights reserved.
PY - 2021
Y1 - 2021
N2 - Background: Campylobacter is one of the most frequent causes of bacterial gastroenteritis. Campylo bacter outbreaks are rarely reported, which could be a reflection of a surveillance without routine molecular typing. We have previously shown that numerous small outbreak-like clusters can be detected when whole genome sequencing (WGS) data of clinical Campylobacter isolates was applied. Aim: Typingbased surveillance of Campylobacter infections was initiated in 2019 to enable detection of large clusters of clinical isolates and to match them to concurrent retail chicken isolates in order to react on ongoing outbreaks. Methods: We performed WGS continuously on isolates from cases (n = 701) and chicken meat (n = 164) throughout 2019. Core genome multilocus sequence typing was used to detect clusters of clinical isolates and match them to isolates from chicken meat. Results: Seventy-two clusters were detected, 58 small clusters (2-4 cases) and 14 large clusters (5-91 cases). One third of the clinical isolates matched isolates from chicken meat. One large cluster persisted throughout the whole year and represented 12% of all studied Campylobacter cases. This cluster type was detected in several chicken samples and was traced back to one slaughterhouse, where interventions were implemented to control the outbreak. Conclusion: Our WGS-based surveillance has contributed to an improved understanding of the dynamics of the occurrence of Campylobacter strains in chicken meat and the correlation to clusters of human cases.
AB - Background: Campylobacter is one of the most frequent causes of bacterial gastroenteritis. Campylo bacter outbreaks are rarely reported, which could be a reflection of a surveillance without routine molecular typing. We have previously shown that numerous small outbreak-like clusters can be detected when whole genome sequencing (WGS) data of clinical Campylobacter isolates was applied. Aim: Typingbased surveillance of Campylobacter infections was initiated in 2019 to enable detection of large clusters of clinical isolates and to match them to concurrent retail chicken isolates in order to react on ongoing outbreaks. Methods: We performed WGS continuously on isolates from cases (n = 701) and chicken meat (n = 164) throughout 2019. Core genome multilocus sequence typing was used to detect clusters of clinical isolates and match them to isolates from chicken meat. Results: Seventy-two clusters were detected, 58 small clusters (2-4 cases) and 14 large clusters (5-91 cases). One third of the clinical isolates matched isolates from chicken meat. One large cluster persisted throughout the whole year and represented 12% of all studied Campylobacter cases. This cluster type was detected in several chicken samples and was traced back to one slaughterhouse, where interventions were implemented to control the outbreak. Conclusion: Our WGS-based surveillance has contributed to an improved understanding of the dynamics of the occurrence of Campylobacter strains in chicken meat and the correlation to clusters of human cases.
U2 - 10.2807/1560-7917.ES.2021.26.22.2001396
DO - 10.2807/1560-7917.ES.2021.26.22.2001396
M3 - Journal article
C2 - 34085631
AN - SCOPUS:85107614963
VL - 26
JO - Eurosurveillance
JF - Eurosurveillance
SN - 1025-496X
IS - 22
ER -
ID: 286846363