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Salmonella enterica serovar Dublin is highly adapted to cattle and a relatively rare cause of human infections. In Denmark S. Dublin has been endemic in the cattle population for many years. A national surveillance program in the cattle population was established at herd-level to reduce the occurrence of S. Dublin. In this study, we analyzed 421 S. Dublin genomes from cattle and food in order to determine the trend of S. Dublin's population size over time in Denmark and the impact of intervention in the cattle industry on the bacterial population size. A phylogenetic tree based on SNPs exhibited two major clades and one small cluster. All isolates were ST10. The temporal phylogenetic tree for the S. Dublin isolates showed that the most recent common ancestor was estimated to be in ∼1980 for the two major clades. An effective population size over time based on a Bayesian skyline plot showed that the population size of S. Dublin decreased significantly between 2014 and 2019 in both major clades. This result was concordant with the decrease of infected human cases by S. Dublin in Denmark. The strengthening of a surveillance program in Denmark could be the cause for the reduction of S. Dublin's effective population size. This study showed that whole genome sequencing combined with computer intensive phylogenetic analysis estimating the effective size of the S. Dublin's population over time is a strongly relevant measure with respect to assessing the impact of control measures aiming to reduce the bacterial population in the reservoir and the risk for human infection., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Objectives: Implementing whole-genome sequencing (WGS) technologies in clinical microbiology laboratories can increase the amount and quality of information available for healthcare practitioners. In this study, we analysed the applicability of this method and determined the distribution of bacterial species processed in clinical settings in Denmark., Methods: We performed a point-prevalence study of all bacterial isolates (n = 2,009) processed and reported in the Clinical Microbiology Laboratories in Denmark in one day in January 2018. We compared species identification as performed by classical methods (MALDI-TOF) and by bioinformatics analysis (KmerFinder and rMLST) of WGS (Illumina NextSeq) data. We compared the national point-prevalence of bacterial isolates observed in clinical settings with the research attention given to those same genera in scientific literature., Results: The most prevalent bacterium was Escherichia coli isolated from urine (n = 646), followed by Staphylococcus spp. from skin or soft tissues (n = 197). The distribution of bacterial species throughout the country was not homogeneous. We observed concordance of species identification for all methods in 95.7% (n = 1,919) of isolates, furthermore obtaining concordance for 99.7% (n = 1,999) at genus level. The number of scientific publications in the country did not correlate with the number of bacterial isolates of each genera analysed in this study., Conclusions: WGS technologies have the potential to be applied in clinical settings for routine diagnostics purposes. This study also showed that bioinformatics databases should be continuously improved and results from local point-prevalence surveys should not be applied at national levels without previously determining possible regional variations., Competing Interests: The authors have declared that no competing interests exist.

Zoonotic Salmonella causes millions of human salmonellosis infections worldwide each year. Information about the source of the bacteria guides risk managers on control and preventive strategies. Source attribution is the effort to quantify the number of sporadic human cases of a specific illness to specific sources and animal reservoirs. Source attribution methods for Salmonella have so far been based on traditional wet-lab typing methods. With the change to whole genome sequencing there is a need to develop new methods for source attribution based on sequencing data. Four European datasets collected in Denmark (DK), Germany (DE), the United Kingdom (UK) and France (FR) are presented in this descriptor. The datasets contain sequenced samples of Salmonella Typhimurium and its monophasic variants isolated from human, food, animal and the environment. The objective of the datasets was either to attribute the human salmonellosis cases to animal reservoirs or to investigate contamination of the environment by attributing the environmental isolates to different animal reservoirs.

Objectives: This study compares the genome of an ST131 CMY-2-producing Escherichia coli isolate from a Danish patient with other ST131 CMY-2-producing E. coli isolates of both human and animal origin., Methods: In 2016, an ST131 CMY-2-producing E. coli isolate (ESBL20160056) was obtained from a patient with a bloodstream infection. The genome of the ESBL20160056 isolate was compared with genomes from six ST131 CMY-2-producing E. coli isolates obtained from broiler meat imported to Denmark, 15 ST131 CMY-2-producing E. coli isolates obtained from Enterobase (http://enterobase.warwick.ac.uk) and two ST131 CMY-2-producing E. coli from European collaborators. The plasmid from ESBL20160056 was sequenced using a MinION Mk1B (Oxford Nanopore Technologies)., Results: The E. coli isolate from the Danish patient clustered together with 13 other fimH22 ST131 CMY-2-producing E. coli isolates in a distinct clade. The clade consisted of genomes from six E. coli isolates from humans collected in Denmark, Spain, Cambodia and the USA, six E. coli isolates obtained from broiler meat samples imported to Denmark from France, the Netherlands and Germany, and two E. coli isolates obtained from broilers in Belgium and Luxembourg. The 101.5 kb plasmid with blaCMY-2 from ESBL20160056 had an IncI1 replicon and belonged to ST12 using the plasmid MLST scheme. In total, 10 of the 14 ST131 E. coli isolates belonging to the fimH22 clade carried an IncI1 ST12 plasmid with blaCMY-2., Conclusions: From our data, it seems plausible that the ST131 fimH22 CMY-2-producing E. coli isolate obtained from the Danish patient could have a zoonotic broiler origin., (© The Author(s) 2018. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For permissions, please email: journals.permissions@oup.com.)