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Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review
Alexander Stephen Byrne1, Alex Goudreau2, Nathalie Bissonnette3
1Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada.
Frontiers in Genetics
|January 7, 2021
Summary
Mixed strain infections (MSIs) occur when a host is infected by multiple strains of one pathogen. This review highlights their prevalence in mycobacterial diseases and the need for standardized detection methods.
Area of Science:
- Microbiology
- Infectious Diseases
- Epidemiology
Background:
- Mixed strain infections (MSIs) involve concurrent infection by multiple strains of a single pathogen species.
- MSIs are significant in mycobacterial diseases like tuberculosis and paratuberculosis, impacting transmission, evolution, and treatment.
- Understanding MSI prevalence and detection is crucial for both human and animal health.
Approach:
- A systematic review was conducted to define MSIs, assess their prevalence across hosts, and document detection methods.
- 121 articles reporting MSIs were identified, predominantly involving the *Mycobacterium tuberculosis* complex.
- Commonly used strain typing methods were reviewed, noting associated challenges and the need for standardization.
Key Points:
- MSIs are documented across diverse host species, with a focus on human tuberculosis.
- Strain typing methods for MSI detection vary, with some lacking the discriminatory power to differentiate true MSIs from microevolution.
- There is a need for standardized, highly discriminatory methods for accurate MSI identification.
Conclusions:
- Further research is required to investigate the prevalence of non-tuberculous mycobacteria (NTM) MSIs in humans and animals.
- Accurate identification and understanding MSI distribution will enhance knowledge of mycobacterial disease epidemiology and pathophysiology.
- Standardization of MSI detection methods is essential for reliable diagnostics and research.

