Journal article
Dynamics of Pseudomonas aeruginosa genome evolution
Proceedings of the National Academy of Sciences - PNAS, Vol.105(8), pp.3100-3105
02/26/2008
DOI: 10.1073/pnas.0711982105
PMCID: PMC2268591
PMID: 18287045
Abstract
One of the hallmarks of the Gram-negative bacterium
Pseudomonas aeruginosa
is its ability to thrive in diverse environments that includes humans with a variety of debilitating diseases or immune deficiencies. Here we report the complete sequence and comparative analysis of the genomes of two representative
P. aeruginosa
strains isolated from cystic fibrosis (CF) patients whose genetic disorder predisposes them to infections by this pathogen. The comparison of the genomes of the two CF strains with those of other
P. aeruginosa
presents a picture of a mosaic genome, consisting of a conserved core component, interrupted in each strain by combinations of specific blocks of genes. These strain-specific segments of the genome are found in limited chromosomal locations, referred to as regions of genomic plasticity. The ability of
P. aeruginosa
to shape its genomic composition to favor survival in the widest range of environmental reservoirs, with corresponding enhancement of its metabolic capacity is supported by the identification of a genomic island in one of the sequenced CF isolates, encoding enzymes capable of degrading terpenoids produced by trees. This work suggests that niche adaptation is a major evolutionary force influencing the composition of bacterial genomes. Unlike genome reduction seen in host-adapted bacterial pathogens, the genetic capacity of
P. aeruginosa
is determined by the ability of individual strains to acquire or discard genomic segments, giving rise to strains with customized genomic repertoires. Consequently, this organism can survive in a wide range of environmental reservoirs that can serve as sources of the infecting organisms.
Details
- Title: Subtitle
- Dynamics of Pseudomonas aeruginosa genome evolution
- Creators
- Kalai Mathee - Department of Molecular Microbiology and Immunology, College of MedicineGiri Narasimhan - Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, College of Engineering, Florida International University, Miami, FL 33199Camilo Valdes - Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, College of Engineering, Florida International University, Miami, FL 33199Xiaoyun Qiu - Department of Microbiology and Molecular Genetics, Harvard Medical School, Boston, MA 02115; andJody M Matewish - Department of Microbiology and Molecular Genetics, Harvard Medical School, Boston, MA 02115; andMichael Koehrsen - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Antonis Rokas - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Chandri N Yandava - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Reinhard Engels - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Erliang Zeng - Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, College of Engineering, Florida International University, Miami, FL 33199Raquel Olavarietta - Department of Biological Sciences, College of Arts and Sciences, andMelissa Doud - Department of Biological Sciences, College of Arts and Sciences, andRoger S Smith - Department of Microbiology and Molecular Genetics, Harvard Medical School, Boston, MA 02115; andPhilip Montgomery - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Jared R White - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Paul A Godfrey - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Chinnappa Kodira - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Bruce Birren - The Broad Institute of MIT and Harvard, Cambridge, MA 02142James E Galagan - The Broad Institute of MIT and Harvard, Cambridge, MA 02142Stephen Lory - Department of Microbiology and Molecular Genetics, Harvard Medical School, Boston, MA 02115; and
- Resource Type
- Journal article
- Publication Details
- Proceedings of the National Academy of Sciences - PNAS, Vol.105(8), pp.3100-3105
- DOI
- 10.1073/pnas.0711982105
- PMID
- 18287045
- PMCID
- PMC2268591
- NLM abbreviation
- Proc Natl Acad Sci U S A
- ISSN
- 0027-8424
- eISSN
- 1091-6490
- Publisher
- National Academy of Sciences
- Language
- English
- Date published
- 02/26/2008
- Academic Unit
- Preventive and Community Dentistry; Roy J. Carver Department of Biomedical Engineering; Iowa Neuroscience Institute; Biostatistics; Dental Research
- Record Identifier
- 9984065470802771
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