| Literature DB >> 16172379 |
Hervé Tettelin1, Vega Masignani, Michael J Cieslewicz, Claudio Donati, Duccio Medini, Naomi L Ward, Samuel V Angiuoli, Jonathan Crabtree, Amanda L Jones, A Scott Durkin, Robert T Deboy, Tanja M Davidsen, Marirosa Mora, Maria Scarselli, Immaculada Margarit y Ros, Jeremy D Peterson, Christopher R Hauser, Jaideep P Sundaram, William C Nelson, Ramana Madupu, Lauren M Brinkac, Robert J Dodson, Mary J Rosovitz, Steven A Sullivan, Sean C Daugherty, Daniel H Haft, Jeremy Selengut, Michelle L Gwinn, Liwei Zhou, Nikhat Zafar, Hoda Khouri, Diana Radune, George Dimitrov, Kisha Watkins, Kevin J B O'Connor, Shannon Smith, Teresa R Utterback, Owen White, Craig E Rubens, Guido Grandi, Lawrence C Madoff, Dennis L Kasper, John L Telford, Michael R Wessels, Rino Rappuoli, Claire M Fraser.
Abstract
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 approximately 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.Entities:
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Year: 2005 PMID: 16172379 PMCID: PMC1216834 DOI: 10.1073/pnas.0506758102
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205