The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
High Functional Diversity in Mycobacterium tuberculosis Driven by Genetic Drift and Human Demography
Open accessAbstract
Mycobacterium tuberculosis infects one third of the human world population and kills someone every 15 seconds. For more than a century, scientists and clinicians have been distinguishing between the human- and animal-adapted members of the M. tuberculosis complex (MTBC). However, all human-adapted strains of MTBC have traditionally been considered to be essentially identical. We surveyed sequence diversity within a global collection of strains belonging to MTBC using seven megabase pairs of DNA sequence data. We show that the members of MTBC affecting humans are more genetically diverse than generally assumed, and that this diversity can be linked to human demographic and migratory events. We further demonstrate that these organisms are under extremely reduced purifying selection and that, as a result of increased genetic drift, much of this genetic diversity is likely to have functional consequences. Our findings suggest that the current increases in human population, urbanization, and global travel, combined with the population genetic characteristics of M. tuberculosis described here, could contribute to the emergence and spread of drug-resistant tuberculosis.
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Cites
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
Tamura, K., Dudley, J., Nei, M., & Kumar, S. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm092 · Cited by 28,730
Improved tools for biological sequence comparison.
Pearson, W. R., & Lipman, D. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.8.2444 · Cited by 11,227
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
DnaSP, DNA polymorphism analyses by the coalescent and other methods
Rozas, J., Sánchez-DelBarrio, J. C., Messeguer, X., & Rozas, R. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg359 · Cited by 6,131
Principles of Population Genetics.
Cormack, R. M., Hartl, D. L., & Clark, A. G. (1990) · Biometrics · doi:10.2307/2531471 · Cited by 5,242
Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions.
(1986) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040410 · Cited by 4,894
A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosis
Andries, K., Verhasselt, P., Guillemont, J., Göhlmann, H. W. H., Neefs, J.-M., Winkler, H., Van Gestel, J., Timmerman, P., Zhu, M., Lee, E., et al. (2005) · Science · doi:10.1126/science.1106753 · Cited by 2,191 · cited 1×
“], as well as genes of special interest, including putative new drug targets [”
BackgroundKimura, M., & Weiss, G. H. (1964) · Genetics · doi:10.1093/genetics/49.4.561 · Cited by 1,709
A new evolutionary scenario for the Mycobacterium tuberculosis complex
Brosch, R., Gordon, S. V., Marmiesse, M., Brodin, P., Buchrieser, C., Eiglmeier, K., Garnier, T., Gutierrez, C., Hewinson, G., Kremer, K., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052548299 · Cited by 1,603
Self-citationRamachandran, S., Deshpande, O., Roseman, C. C., Rosenberg, N. A., Feldman, M. W., & Cavalli-Sforza, L. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507611102 · Cited by 1,103
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Cited by
Multilocus sequence typing as a replacement for serotyping in Salmonella enterica
Achtman, M., Wain, J., Weill, F.-X., Nair, S., Zhou, Z., Sangal, V., Krauland, M. G., Hale, J. L., Harbottle, H., Uesbeck, A., et al. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002776 · Cited by 710
Explaining Microbial Population Genomics through Phage Predation
Rodriguez-Valera, F., Martin-Cuadrado, A.-B., Rodriguez-Brito, B., Pašić, L., Thingstad, T. F., Rohwer, F., & Mira, A. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2235 · Cited by 663
Pre-Columbian mycobacterial genomes reveal seals as a source of New World human tuberculosis
Bos, K. I., Harkins, K. M., Herbig, A., Coscolla, M., Weber, N., Comas, I., Forrest, S. A., Bryant, J. M., Harris, S. R., Schuenemann, V. J., et al. (2014) · Nature · doi:10.1038/nature13591 · Cited by 566
Self-citationEvidence That Mutation Is Universally Biased towards AT in Bacteria
Hershberg, R., & Petrov, D. A. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001115 · Cited by 490
Self-citationFord, C. B., Shah, R. R., Maeda, M. K., Gagneux, S., Murray, M. B., Cohen, T., Johnston, J. C., Gardy, J., Lipsitch, M., & Fortune, S. M. (2013) · Nature Genetics · doi:10.1038/ng.2656 · Cited by 457
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Metadata
- Authors
- Hershberg, R., Lipatov, M., Small, P. M., Sheffer, H., Niemann, S., Homolka, S., Roach, J. C., Kremer, K., Petrov, D. A., Feldman, M. W., & Gagneux, S.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-12-16
- Volume
- 6
- Issue
- 12
- Pages
- e311
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2106813347
- Cited by
- 593
- References
- 66
- FWCI
- 25.47
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hershberg, R., Lipatov, M., Small, P. M., Sheffer, H., Niemann, S., Homolka, S., Roach, J. C., Kremer, K., Petrov, D. A., Feldman, M. W., & Gagneux, S. (2008). High Functional Diversity in Mycobacterium tuberculosis Driven by Genetic Drift and Human Demography. PLoS Biology. https://doi.org/10.1371/journal.pbio.0060311
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