SNP-Based Typing for Studying Bordetella pertussis Populations
Author Information
Author(s): Marjolein van Gent, Marieke J. Bart, Han G. J. van der Heide, Kees J. Heuvelman, Teemu Kallonen, Qiushui He, Jussi Mertsola, Abdolreza Advani, Hans O. Hallander, Koen Janssens, Peter W. Hermans, Frits R. Mooi
Primary Institution: National Institute for Public Health and the Environment, Bilthoven, The Netherlands
Hypothesis
Can SNP typing provide a more informative method for studying Bordetella pertussis populations compared to traditional methods?
Conclusion
SNP typing is more phylogenetically informative than PFGE and more discriminative than MLVA for studying Bordetella pertussis populations.
Supporting Evidence
- SNP typing showed a discriminatory index of 0.85, while PFGE and MLVA had indices of 0.95 and 0.83, respectively.
- Phylogenetic analysis revealed false homoplasies in PFGE and MLVA trees compared to SNP typing.
- SNP typing indicated a positive correlation between root-to-tip distance and the isolation year of strains.
Takeaway
Scientists used a new method called SNP typing to better understand whooping cough bacteria, and found it works better than older methods.
Methodology
The study developed a SNP typing method based on 87 SNPs and compared it with PFGE and MLVA methods.
Potential Biases
Potential bias due to the geographic and temporal diversity of the strain collection.
Limitations
The study may have been affected by phylogenetic discovery bias and the limited resolving power of MLVA.
Participant Demographics
Strains were isolated from multiple countries including Finland, the Netherlands, Sweden, Kenya, and Senegal.
Statistical Information
P-Value
<0.005
Confidence Interval
[0.83–0.88]
Statistical Significance
p<0.005
Digital Object Identifier (DOI)
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