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Published on: May 26, 2026
Core genome and whole genome multi-locus sequence typing of Cronobacter isolates
Lavin A Joseph1, Krittika Krishnan1,2, Cynney Walters1,3
1Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Insights
Whole genome sequencing (WGS) methods like core genome MLST (cgMLST) and whole genome MLST (wgMLST) effectively subtype Cronobacter isolates. These WGS approaches enhance Cronobacter outbreak detection and public health response strategies.
Area of Science:
- Food safety and public health microbiology
- Genomic epidemiology
- Infectious disease surveillance
Background:
- Cronobacter species, particularly C. sakazakii and C. malonaticus, are opportunistic pathogens causing severe infant infections with high mortality.
- Advanced molecular subtyping is crucial for effective public health surveillance of Cronobacter.
Purpose of the Study:
- To investigate and validate whole genome sequencing (WGS) analysis approaches for subtyping Cronobacter isolates.
- To assess the utility of 7-gene MLST, core genome MLST (cgMLST), and whole genome MLST (wgMLST) for Cronobacter surveillance.
- To evaluate WGS efficacy within the PulseNet framework for improving outbreak detection and response.
Main Methods:
- Analysis of 743 Cronobacter isolates from clinical, food, and environmental sources.
- Comparison of WGS subtyping methods: 7-gene MLST, cgMLST, wgMLST, and high-quality single nucleotide polymorphism (hqSNP) analysis.
- Validation of WGS approaches against epidemiological data and hqSNP analysis.
Main Results:
- cgMLST and wgMLST accurately identified closely related isolates and aligned with epidemiological findings.
- Allele-based WGS analyses demonstrated comparable performance to hqSNP analysis.
- The developed workflow provides 7-gene MLST allele calls, sequence types, and clonal complexes for historical comparisons.
Conclusions:
- WGS-based approaches, specifically cgMLST and wgMLST, are effective for Cronobacter subtyping and surveillance.
- These methods enhance outbreak detection and response, supporting public health efforts to prevent infant infections.
- Implementation of cgMLST is recommended for routine PulseNet surveillance, with wgMLST and hqSNP offering higher resolution for investigations.
Abstract:
Cronobacter species, especially C. sakazakii and C. malonaticus, are opportunistic pathogens that are linked to severe infections in infants with high case fatality rates. In this study, we investigated whole genome sequencing (WGS) analysis approaches, specifically 7-gene multi-locus sequence typing (7-gene MLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) to subtype Cronobacter isolates. We analyzed a comprehensive set of 743 Cronobacter isolates derived from clinical, food, and environmental sources. We also evaluated high-quality single nucleotide polymorphism (hqSNP), cgMLST, and wgMLST to cluster epidemiologically related and differentiate sporadic C. sakazakii isolates. Our results indicate that both cgMLST and wgMLST accurately identify closely related isolates and are consistent with epidemiological findings. The allele-based analyses were also comparable with hqSNP analyses, the current gold standard. Our workflow also outputs 7-gene MLST allele calls, Cronobacter sequence types, and clonal complexes, which may be useful for historic comparisons during outbreak investigations. Following the recent classification of Cronobacter infections as nationally notifiable in the United States, our findings demonstrate the efficacy of WGS-based approaches within the PulseNet framework to improve outbreak detection and response strategies for Cronobacter.
Importance:
Cronobacter species, specifically C. sakazakii and C. malonaticus, are opportunistic pathogens linked to severe infections in infants with high case fatality rates. This study highlights the critical importance of advanced molecular techniques in public health surveillance, using whole genome sequencing (WGS) methodologies such as multi-locus sequence typing (7-gene MLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST). The validation of these WGS-based approaches within the PulseNet framework is timely, especially following the recent classification of Cronobacter infections as nationally notifiable in the United States. WGS methods not only enhance outbreak detection but can also inform public health guidance aimed at preventing infections and reducing mortality in vulnerable populations, especially infants. Our research supports implementation of cgMLST as a standardized approach for routine PulseNet surveillance of Cronobacter, with wgMLST and hqSNP analyses providing additional discriminatory power for outbreak investigations and high resolution phylogenetic analysis.
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