Molecular Epidemiology of Salmonellosis in Florida, USA, 2017–2018

Frontiers in Medicine

Nitya Singh¹  Elizabeth Beshearse¹  Arie H. Havelaar¹  Jason L. Blanton²  Xiaolong Li³  Jamie DeMent⁴ 

[1] Animal Sciences Department, Emerging Pathogens Institute, Food Systems Institute, University of Florida, Gainesville, FL, United States;Bureau of Public Health Laboratories, Florida Department of Health, Jacksonville, FL, United States;Department of Environmental and Global Health, Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States;Independent Researcher, Orlando, FL, United States;Food and Waterborne Disease Program, Florida Department of Health, Tallahassee, FL, United States;

关键词: hierarchical clustering;    outbreak detection;    phylogeny;    SNP;    cgMLST;    mlst;    whole genome sequencing;    Salmonella enterica;   

DOI  :  10.3389/fmed.2021.656827

来源: Frontiers

【 摘 要 】

The state of Florida reports a high burden of non-typhoidal Salmonella enterica with approximately two times higher than the national incidence. We retrospectively analyzed the population structure and molecular epidemiology of 1,709 clinical isolates from 2017 and 2018. We found 115 different serotypes. Rarefaction suggested that the serotype richness did not differ between children under 2 years of age and older children and adults and, there are ~22 well-characterized dominant serotypes. There were distinct differences in dominant serotypes between Florida and the USA as a whole, even though S. Enteritidis and S. Newport were the dominant serotypes in Florida and nationally. S. Javiana, S. Sandiego, and S. IV 50:z4, z23:- occurred more frequently in Florida than nationally. Legacy Multi Locus Sequence Typing (MLST) was of limited use for differentiating clinical Salmonella isolates beyond the serotype level. We utilized core genome MLST (cgMLST) hierarchical clusters (HC) to identify potential outbreaks and compared them to outbreaks detected by Pulse Field Gel Electrophoresis (PFGE) surveillance for five dominant serotypes (Enteritidis, Newport, Javiana, Typhimurium, and Bareilly). Single nucleotide polymorphism (SNP) phylogenetic-analysis of cgMLST HC at allelic distance 5 or less (HC5) corroborated PFGE detected outbreaks and generated well-segregated SNP distance-based clades for all studied serotypes. We propose “combination approach” comprising “HC5 clustering,” as efficient tool to trigger Salmonella outbreak investigations, and “SNP-based analysis,” for higher resolution phylogeny to confirm an outbreak. We also applied this approach to identify case clusters, more distant in time and place than traditional outbreaks but may have been infected from a common source, comparing 176 Florida clinical isolates and 1,341 non-clinical isolates across USA, of most prevalent serotype Enteritidis collected during 2017–2018. Several clusters of closely related isolates (0–4 SNP apart) within HC5 clusters were detected and some included isolates from poultry from different states in the US, spanning time periods over 1 year. Two SNP-clusters within the same HC5 cluster included isolates with the same multidrug-resistant profile from both humans and poultry, supporting the epidemiological link. These clusters likely reflect the vertical transmission of Salmonella clones from higher levels in the breeding pyramid to production flocks.

【 授权许可】

CC BY