The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Consequences of genomic diversity in Mycobacterium tuberculosis
Open accessAbstract
The causative agent of human tuberculosis, Mycobacterium tuberculosis complex (MTBC), comprises seven phylogenetically distinct lineages associated with different geographical regions. Here we review the latest findings on the nature and amount of genomic diversity within and between MTBC lineages. We then review recent evidence for the effect of this genomic diversity on mycobacterial phenotypes measured experimentally and in clinical settings. We conclude that overall, the most geographically widespread Lineage 2 (includes Beijing) and Lineage 4 (also known as Euro-American) are more virulent than other lineages that are more geographically restricted. This increased virulence is associated with delayed or reduced pro-inflammatory host immune responses, greater severity of disease, and enhanced transmission. Future work should focus on the interaction between MTBC and human genetic diversity, as well as on the environmental factors that modulate these interactions.
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Cites
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
Cole, S. T., Brosch, R., Parkhill, J., Garnier, T., Churcher, C., Harris, D., Gordon, S. V., Eiglmeier, K., Gas, S., Barry, C. E., et al. (1998) · Nature · doi:10.1038/31159 · Cited by 7,847
Massive gene decay in the leprosy bacillus.
Cole, S. T., Eiglmeier, K., Parkhill, J., James, K. D., Thomson, N. R., Wheeler, P. R., Honoré, N., Garnier, T., Churcher, C., Harris, D., et al. (2001) · Nature · doi:10.1038/35059006 · Cited by 1,777
inhA , a Gene Encoding a Target for Isoniazid and Ethionamide in Mycobacterium tuberculosis
Banerjee, A., Dubnau, E., Quemard, A., Balasubramanian, V., Um, K. S., Wilson, T., Collins, D., de Lisle, G., & Jacobs, W. R. (1994) · Science · doi:10.1126/science.8284673 · Cited by 1,389
HIV and Tuberculosis: a Deadly Human Syndemic
Kwan, C. K., & Ernst, J. D. (2011) · Clinical Microbiology Reviews · doi:10.1128/cmr.00042-10 · Cited by 720
Ancient Origin and Gene Mosaicism of the Progenitor of Mycobacterium tuberculosis
Gutierrez, M. C., Brisse, S., Brosch, R., Fabre, M., Omaïs, B., Marmiesse, M., Supply, P., & Vincent, V. (2005) · PLoS Pathogens · doi:10.1371/journal.ppat.0010005 · Cited by 646
Mycobacteria manipulate macrophage recruitment through coordinated use of membrane lipids
Cambier, C. J., Takaki, K. K., Larson, R. P., Hernandez, R. E., Tobin, D. M., Urdahl, K. B., Cosma, C. L., & Ramakrishnan, L. (2014) · Nature · doi:10.1038/nature12799 · Cited by 480
Supply, P., Marceau, M., Mangenot, S., Roche, D., Rouanet, C., Khanna, V., Majlessi, L., Criscuolo, A., Tap, J., Pawlik, A., et al. (2013) · Nature Genetics · doi:10.1038/ng.2517 · Cited by 305
Click, E. S., Moonan, P. K., Winston, C. A., Cowan, L. S., & Oeltmann, J. E. (2012) · Clinical Infectious Diseases · doi:10.1093/cid/cir788 · Cited by 137
Kong, Y., Cave, M. D., Zhang, L., Foxman, B., Marrs, C. F., Bates, J. H., & Yang, Z. H. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.01459-06 · Cited by 130
van Crevel, R., Parwati, I., Sahiratmadja, E., Marzuki, S., Ottenhoff, T. H. M., Netea, M. G., van der Ven, A., Nelwan, R. H., van der Meer, J. W., Alisjahbana, B., et al. (2009) · The Journal of Infectious Diseases · doi:10.1086/648477 · Cited by 81
Cited by
Godfroid, M., Dagan, T., & Kupczok, A. (2018) · Genome Biology and Evolution · doi:10.1093/gbe/evy143 · Cited by 37
Metadata
- Authors
- Coscolla, M., & Gagneux, S.
- Venue
- Seminars in Immunology
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 26
- Issue
- 6
- Pages
- 431-444
- ISSN
- 1044-5323 (ISSN-L)
- OpenAlex
- W2058417246
- Cited by
- 451
- References
- 11
- FWCI
- 20.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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