The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae : Implications for the microbial “pan-genome”
Open accessAbstract
The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae , the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for ≈80% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.
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Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Self-citationFast algorithms for large-scale genome alignment and comparison
Delcher, A. L. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.11.2478 · Cited by 1,036
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Markowitz, V. M., Chen, I.-M. A., Palaniappan, K., Chu, K., Szeto, E., Grechkin, Y., Ratner, A., Jacob, B., Huang, J., Williams, P., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1044 · Cited by 1,311
Biogeography and individuality shape function in the human skin metagenome
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Comparative genomics: the bacterial pan-genome
Tettelin, H., Riley, D., Cattuto, C., & Medini, D. (2008) · Current Opinion in Microbiology · doi:10.1016/j.mib.2008.09.006 · Cited by 1,120
Self-citationGenome evolution across 1,011 Saccharomyces cerevisiae isolates
Peter, J., De Chiara, M., Friedrich, A., Yue, J.-X., Pflieger, D., Bergström, A., Sigwalt, A., Barre, B., Freel, K., Llored, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0030-5 · Cited by 1,117
Metadata
- Authors
- Tettelin, H., Masignani, V., Cieslewicz, M. J., Donati, C., Medini, D., Ward, N. L., Angiuoli, S. V., Crabtree, J., Jones, A. L., Durkin, A. S., DeBoy, R. T., Davidsen, T. M., Mora, M., Scarselli, M., Margarit y Ros, I., Peterson, J. D., Hauser, C. R., Sundaram, J. P., Nelson, W. C., Madupu, R., Brinkac, L. M., Dodson, R. J., Rosovitz, M. J., Sullivan, S. A., Daugherty, S. C., Haft, D. H., Selengut, J., Gwinn, M. L., Zhou, L., Zafar, N., Khouri, H., Radune, D., Dimitrov, G., Watkins, K., O'Connor, K. J. B., Smith, S., Utterback, T. R., White, O., Rubens, C. E., Grandi, G., Madoff, L. C., Kasper, D. L., Telford, J. L., Wessels, M. R., Rappuoli, R., & Fraser, C. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-09-19
- Volume
- 102
- Issue
- 39
- Pages
- 13950-13955
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2150550043
- Cited by
- 2,631
- References
- 2
- FWCI
- 76.34
- Type
- journal article
- Language
- en
- Open access
- green
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- Tettelin, H., Masignani, V., Cieslewicz, M. J., Donati, C., Medini, D., Ward, N. L., Angiuoli, S. V., Crabtree, J., Jones, A. L., Durkin, A. S., DeBoy, R. T., Davidsen, T. M., Mora, M., Scarselli, M., Margarit y Ros, I., Peterson, J. D., Hauser, C. R., Sundaram, J. P., Nelson, W. C., . . . Fraser, C. M. (2005). Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae : Implications for the microbial “pan-genome”. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0506758102
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
