Mycobacterium tuberculosis genetic diversity and classification
Author Information
Author(s): Brudey Karine, Driscoll Jeffrey R, Rigouts Leen, Prodinger Wolfgang M, Gori Andrea, Al-Hajoj Sahal A, Allix Caroline, Aristimuño Liselotte, Arora Jyoti, Baumanis Viesturs, Binder Lothar, Cafrune Patricia, Cataldi Angel, Cheong Soonfatt, Diel Roland, Ellermeier Christopher, Evans Jason T, Fauville-Dufaux Maryse, Ferdinand Séverine, de Viedma Dario Garcia, Garzelli Carlo, Gazzola Lidia, Gomes Harrison M, Guttierez M Cristina, Hawkey Peter M, van Helden Paul D, Kadival Gurujaj V, Kreiswirth Barry N, Kremer Kristin, Kubin Milan, Kulkarni Savita P, Liens Benjamin, Lillebaek Troels, Ly Ho Minh, Martin Carlos, Martin Christian, Mokrousov Igor, Narvskaïa Olga, Ngeow Yun Fong, Naumann Ludmilla, Niemann Stefan, Parwati Ida, Rahim Zeaur, Rasolofo-Razanamparany Voahangy, Rasolonavalona Tiana, Rossetti M Lucia, Rüsch-Gerdes Sabine, Sajduda Anna, Samper Sofia, Shemyakin Igor G, Singh Urvashi B, Somoskovi Akos, Skuce Robin A, van Soolingen Dick, Streicher Elisabeth M, Suffys Philip N, Tortoli Enrico, Tracevska Tatjana, Vincent Véronique, Victor Tommie C, Warren Robin M, Yap Sook Fan, Zaman Khadiza, Portaels Françoise, Rastogi Nalin, Sola Christophe
Primary Institution: Institut Pasteur de Guadeloupe
Hypothesis
Co-evolution between human beings and bacilli, and vertical transmission must have been the main mode of tuberculosis transmission throughout centuries.
Conclusion
The SpolDB4 database broadens the understanding of the global phylogeography of the Mycobacterium tuberculosis complex.
Supporting Evidence
- The SpolDB4 database describes 1939 shared-types representative of a total of 39,295 strains from 122 countries.
- SpolDB4 adds 26 new potentially phylogeographically-specific MTC genotype families.
- An independent Naïve-Bayes mixture-model analysis validated many previous classification results.
- Results suggest the existence of fine geographical genetic clines within MTC populations.
- SpolDB4 should be a useful tool for defining the identity of MTC clinical isolates.
Takeaway
This study looks at the different types of tuberculosis bacteria from around the world to understand how they spread and change over time.
Methodology
Data mining of the SpolDB4 database containing 39,295 strains from 122 countries, using both statistical and bioinformatical approaches.
Potential Biases
The study may be limited by the convenience sampling of strains and the quality of data from various sources.
Limitations
The study faced challenges with data representativity and quality, and the potential for overfitting in classification.
Participant Demographics
Clinical isolates from a total of 141 countries were included in the analysis.
Digital Object Identifier (DOI)
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