Abstract

We have developed technologies for creating saturating libraries of sequence-defined transposon insertion mutants in which each strain is maintained. Phenotypic analysis of such libraries should provide a virtually complete identification of nonessential genes required for any process for which a suitable screen can be devised. The approach was applied to Pseudomonas aeruginosa , an opportunistic pathogen with a 6.3-Mbp genome. The library that was generated consists of 30,100 sequence-defined mutants, corresponding to an average of five insertions per gene. About 12% of the predicted genes of this organism lacked insertions; many of these genes are likely to be essential for growth on rich media. Based on statistical analyses and bioinformatic comparison to known essential genes in E. coli , we estimate that the actual number of essential genes is 300-400. Screening the collection for strains defective in two defined multigenic processes (twitching motility and prototrophic growth) identified mutants corresponding to nearly all genes expected from earlier studies. Thus, phenotypic analysis of the collection may produce essentially complete lists of genes required for diverse biological activities. The transposons used to generate the mutant collection have added features that should facilitate downstream studies of gene expression, protein localization, epistasis, and chromosome engineering.

Keywords

Transposable elementBiologyGeneGeneticsMutantGenomeComputational biology

MeSH Terms

Escherichia coliGene LibraryGenesBacterialMutagenesisInsertionalMutationPhenotypePseudomonas aeruginosaSpecies Specificity

Affiliated Institutions

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Publication Info

Year
2003
Type
article
Volume
100
Issue
24
Pages
14339-14344
Citations
1125
Access
Closed

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Cite This

Michael A. Jacobs, Ashley Alwood, Iyarit Thaipisuttikul et al. (2003). Comprehensive transposon mutant library of <i>Pseudomonas aeruginosa</i>. Proceedings of the National Academy of Sciences , 100 (24) , 14339-14344. https://doi.org/10.1073/pnas.2036282100

Identifiers

DOI
10.1073/pnas.2036282100
PMID
14617778
PMCID
PMC283593

Data Quality

Data completeness: 86%