Leptospirosis is a re-emerging zoonosis caused by a diverse range of pathogenic Leptospira, which are divided into species, serogroups and serovars. Although advances in genomics have recently refined species classification, serotyping, which is based on the antigenic variability of lipopolysaccharides O-antigens, still relies heavily on traditional and labour-intensive methods. In addition, the molecular basis of serovar diversity is not fully understood, which poses challenges for rapid and accurate serovar and/or serogroup identification. However, identification of serovars remains crucial for epidemiological studies, surveillance, diagnostics, understanding host–pathogen interactions and vaccine development. In this review, we assess current techniques for Leptospira serovar and serogroup identification and explore emerging DNA-based methodologies for serovar and serogroup prediction.
Received: 09/06/2025 Accepted: 04/08/2025 Published Online: 12/09/2025Funding
This study was supported by the: National Institutes of Health (US) (Award P01 AI 168148) Principal Award Recipient: MathieuPicardeau Santé Publique France Principal Award Recipient: MathieuPicardeau Genome Canada (Award 365MET, 375MET, and 374PRO) Principal Award Recipient: HelenaPetrosova Genome British Columbia (Award 365MET, 375MET, and 374PRO) Principal Award Recipient: HelenaPetrosova Institut Pasteur Principal Award Recipient: MathieuPicardeau© 2025 The Authors

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2025-09-12
2025-12-09
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