Serotyping has traditionally been used for subtyping of non-typhoidal Salmonella (NTS) isolates. However, its discriminatory power is limited, which impairs its use for epidemiological investigations of source attribution. Whole-genome sequencing (WGS) analysis allows more accurate subtyping of strains. However, because of the relative newness and cost of routine WGS, large-scale studies involving NTS WGS are still rare. We aimed to revisit the big picture of subtyping NTS with a public health impact by using traditional serotyping (i.e. reaction between antisera and surface antigens) and comparing the results with those obtained using WGS. For this purpose, we analysed 18282 sequences of isolates belonging to 37 serotypes with a public health impact that were recovered in the USA between 2006 and 2017 from multiple sources, and were available at the National Center for Biotechnology Information (NCBI). Phylogenetic trees were reconstructed for each serotype using the core genome for the identification of genetic subpopulations. We demonstrated that WGS-based subtyping allows better identification of sources potentially linked with human infection and emerging subpopulations, along with providing information on the risk of dissemination of plasmids and acquired antimicrobial resistance genes (AARGs). In addition, by reconstructing a phylogenetic tree with representative isolates from all serotypes (n=370), we demonstrated genetic variability within and between serotypes, which formed mono-phyletic, polyphyletic and paraphyletic clades. Moreover, we found (in the entire data set) an increased detection rate for AARGs linked to key antimicrobials (such as quinolones and extended-spectrum cephalosporins) over time. The outputs of this large-scale analysis reveal new insights into the genetic diversity within and between serotypes; the polyphyly and paraphyly of certain serotypes may suggest that the sub-typing of NTS to serotypes may not be sufficient. Moreover, the results and the methods presented here, leading to differentiation between genetic subpopulations based on their potential risk to public health, as well as narrowing down the possible sources of these infections, may be used as a baseline for subtyping of future NTS infections and help efforts to mitigate and prevent infections in the USA and globally.
Bibliographical noteFunding Information:
This work was supported by the Global Food Venture?MnDrive Initia-tive, the National Institute of Food and Agriculture (Animal Health Formula Fund project MIN-62?091) of the USDA, the Rapid Agricultural Response Fund (RARF) and the Swine Disease Eradication Center (SDEC) at the University of Minnesota. In addition, E.E. was supported by BARD, the United States?Israel Binational Agricultural Research and Development Fund (Vaadia?BARD Postdoctoral Fellowship award no. FI-565?17) and J.A. was supported by the Ram?n y Cajal postdoctoral contract from the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) (RYC-2016?20422). Acknowledgements We want to thank Belinda Befort for her help with the initial data analysis.
This work was supported by the Global Food Venture–MnDrive Initiative, the National Institute of Food and Agriculture (Animal Health Formula Fund project MIN-62–091) of the USDA, the Rapid Agricultural Response Fund (RARF) and the Swine Disease Eradication Center (SDEC) at the University of Minnesota. In addition, E.E. was supported by BARD, the United States–Israel Binational Agricultural Research and Development Fund (Vaadia–BARD Postdoctoral Fellowship award no. FI-565–17) and J.A. was supported by the Ramón y Cajal postdoctoral contract from the Spanish Ministry of Economy, Industry and Competitiveness (MINECO) (RYC-2016–20422).
© 2020 The Authors.
- Antimicrobial resistance
- Foodborne infections
- Non-typhoidal Salmonella
- Salmonella subtyping
- Source attribution