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Cited by 167

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Sequence Diversity of Pseudomonas aeruginosa : Impact on Population Structure and Genome Evolution

Open access
Kiewitz, Claudia, Tümmler, Burkhard·2000·Journal of Bacteriology

Abstract

Comparative sequencing of Pseudomonas aeruginosa genes oriC , citS , ampC , oprI , fliC , and pilA in 19 environmental and clinical isolates revealed the sequence diversity to be about 1 order of magnitude lower than in comparable housekeeping genes of Salmonella . In contrast to the low nucleotide substitution rate, the frequency of recombination among different P. aeruginosa genotypes was high, leading to the random association of alleles. The P. aeruginosa population consists of equivalent genotypes that form a net-like population structure. However, each genotype represents a cluster of closely related strains which retain their sequence signature in the conserved gene pool and carry a set of genotype-specific DNA blocks. The codon adaptation index, a quantitative measure of synonymous codon bias of genes, was found to be consistently high in the P. aeruginosa genome irrespective of the metabolic category and the abundance of the encoded gene product. Such uniformly high codon adaptation indices of 0.55 to 0.85 fit the ubiquitous lifestyle of P. aeruginosa .

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Crossref · 10.1128/jb.182.11.3125-3135.2000

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Metadata

Authors
Kiewitz, C., & Tümmler, B.
Venue
Journal of Bacteriology
Published
2000-06
Volume
182
Issue
11
Pages
3125-3135
ISSN
  • 0021-9193 (ISSN-L)
  • 1098-5530
OpenAlex
W2118478903
Cited by
167
References
3
FWCI
3.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sequence Diversity of Pseudomonas aeruginosa : Impact on Population Structure and Genome Evolution. https://app.cochat.ai/papers/10.1128/jb.182.11.3125-3135.2000
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Kiewitz, C., & Tümmler, B. (2000). Sequence Diversity of Pseudomonas aeruginosa : Impact on Population Structure and Genome Evolution. Journal of Bacteriology. https://doi.org/10.1128/jb.182.11.3125-3135.2000

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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.