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Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
Open accessAbstract
Countless millions of people have died from tuberculosis, a chronic infectious disease caused by the tubercle bacillus. The complete genome sequence of the best-characterized strain of Mycobacterium tuberculosis, H37Rv, has been determined and analysed in order to improve our understanding of the biology of this slow-growing pathogen and to help the conception of new prophylactic and therapeutic interventions. The genome comprises 4,411,529 base pairs, contains around 4,000 genes, and has a very high guanine + cytosine content that is reflected in the biased amino-acid content of the proteins. M. tuberculosis differs radically from other bacteria in that a very large portion of its coding capacity is devoted to the production of enzymes involved in lipogenesis and lipolysis, and to two new families of glycine-rich proteins with a repetitive structure that may represent a source of antigenic variation.
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“M. tuberculosis genome appears to contain several cell wall hydrolases.36”
From ChiZ levels modulate cell division process in mycobacteria (2011) · cites this paper as [36]
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“which were first discovered almost 20 years ago during in silico analyses of the genome sequence and the proteome of Mycobacterium tuberculosis H37Rv (17,18).”
From ESX/Type VII Secretion Systems—An Important Way Out for Mycobacterial Proteins (2019) · cites this paper as [17]
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Flagged first, then by citations
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Metadata
- Authors
- Cole, S. T., Brosch, R., Parkhill, J., Garnier, T., Churcher, C., Harris, D., Gordon, S. V., Eiglmeier, K., Gas, S., Barry, C. E., Tekaia, F., Badcock, K., Basham, D., Brown, D., Chillingworth, T., Connor, R., Davies, R., Devlin, K., Feltwell, T., Gentles, S., Hamlin, N., Holroyd, S., Hornsby, T., Jagels, K., Krogh, A., McLean, J., Moule, S., Murphy, L., Oliver, K., Osborne, J., Quail, M. A., Rajandream, M.-A., Rogers, J., Rutter, S., Seeger, K., Skelton, J., Squares, R., Squares, S., Sulston, J. E., Taylor, K., Whitehead, S., & Barrell, B. G.
- Affiliations
- Institut Pasteur (FR)
- Wellcome Sanger Institute (GB)
- National Institutes of Health (US)
- Technical University of Denmark (DK)
- Corresponding author
- Barrell, B. G.
- ORCID
- Venue
- Nature
- Published
- 1998-06
- Volume
- 393
- Issue
- 6685
- Pages
- 537-544
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2158023121
- Cited by
- 7,847
- References
- 53
- Citations by year
- 2026: 124 · 2025: 173 · 2024: 157 · 2023: 209 · 2022: 188 · 2021: 233 · 2020: 220 · 2019: 235 · 2018: 259 · 2017: 257 · 2016: 259 · 2015: 312 · 2014: 385 · 2013: 340 · 2012: 318
- FWCI
- 249.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Funders
- American Heart Association
- Wellcome Trust
- Medical Research Council Canada
- National Institutes of Health
- Medical Research Council
- National Institute of Allergy and Infectious Diseases (Z01AI000783)
- Brookhaven National Laboratory
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Keywords
- Mycobacterium tuberculosis, Mycobacterium tuberculosis H37Rv, complete genome sequence, genome analysis, GC content, amino acid composition, lipogenesis, lipolysis, glycine-rich proteins, antigenic variation, tuberculosis pathogenesis, tuberculosis treatment
- MeSH terms
- Chromosome Mapping, Chromosomes, Bacterial, Drug Resistance, Microbial, Humans, Molecular Sequence Data, Mycobacterium tuberculosis, Tuberculosis, Genome, Bacterial, Sequence Analysis, DNA, Lipid Metabolism
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