Genome analysis of multiple pathogenic isolates of <i>Streptococcus agalactiae</i> : Implications for the microbial “pan-genome”

Hervé Tettelin(University of Maryland, Baltimore), Vega Masignani(University of Maryland, Baltimore), Michael J. Cieslewicz(University of Maryland, Baltimore), Claudio Donati(University of Maryland, Baltimore), Duccio Medini(University of Maryland, Baltimore), Naomi Ward(University of Maryland, Baltimore), Samuel V. Angiuoli(University of Maryland, Baltimore), Jonathan Crabtree(University of Maryland, Baltimore), Amanda L. Jones(University of Maryland, Baltimore), A. Scott Durkin(University of Maryland, Baltimore), Robert T. DeBoy(University of Maryland, Baltimore), Tanja M. Davidsen(University of Maryland, Baltimore), Marirosa Mora(University of Maryland, Baltimore), Maria Scarselli(University of Maryland, Baltimore), Immaculada Margarit Y Ros(University of Maryland, Baltimore), Jeremy Peterson(University of Maryland, Baltimore), Christopher R. Hauser(University of Maryland, Baltimore), Jaideep P. Sundaram(University of Maryland, Baltimore), William Nelson(University of Maryland, Baltimore), Ramana Madupu(University of Maryland, Baltimore), Lauren Brinkac(University of Maryland, Baltimore), Robert J. Dodson(University of Maryland, Baltimore), M. J. Rosovitz(University of Maryland, Baltimore), Steven A. Sullivan(University of Maryland, Baltimore), Sean C. Daugherty(University of Maryland, Baltimore), Daniel H. Haft(University of Maryland, Baltimore), Jeremy Selengut(University of Maryland, Baltimore), Michelle Gwinn(University of Maryland, Baltimore), Li‐Wei Zhou(University of Maryland, Baltimore), Nikhat Zafar(University of Maryland, Baltimore), Hoda Khouri(University of Maryland, Baltimore), Diana Radune(University of Maryland, Baltimore), George Dimitrov(University of Maryland, Baltimore), Kisha Watkins(University of Maryland, Baltimore), Kevin J. B. O'Connor(University of Maryland, Baltimore), Shannon D. Smith(University of Maryland, Baltimore), Teresa R. Utterback(University of Maryland, Baltimore), Owen White(University of Maryland, Baltimore), Craig E. Rubens(University of Maryland, Baltimore), Guido Grandi(University of Maryland, Baltimore), Lawrence C. Madoff(University of Maryland, Baltimore), Dennis L. Kasper(University of Maryland, Baltimore), John L. Telford(University of Maryland, Baltimore), Michael R. Wessels(University of Maryland, Baltimore), Rino Rappuoli(University of Maryland, Baltimore), Claire M. Fraser(University of Maryland, Baltimore)
Proceedings of the National Academy of Sciences
September 19, 2005
Cited by 2,689Open Access
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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.


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