Literature DB >> 25377703

Draft Genome Sequence of Pseudomonas aeruginosa ATCC 33988, a Bacterium Highly Adapted to Fuel-Polluted Environments.

Lisa M Brown1, Thusitha S Gunasekera1, Oscar N Ruiz2.   

Abstract

Pseudomonas aeruginosa ATCC 33988 is highly adapted to grow in jet and diesel fuel, with a defined regulation of adaptive genes and metabolization of n-alkanes. The draft genome of strain ATCC 33988 is 6.4 Mb in size, with 5,975 coding sequences and 66.3% G+C content, and it is highly similar to that of the clinical strain P. aeruginosa PAO1.
Copyright © 2014 Brown et al.

Entities:  

Year:  2014        PMID: 25377703      PMCID: PMC4223454          DOI: 10.1128/genomeA.01113-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Pseudomonas aeruginosa ATCC 33988, also known as P. aeruginosa QMB 1592, was isolated from a fuel storage tank in Ponca City, OK. This strain efficiently metabolizes n-alkanes and grows extremely well in Jet-A fuel and F-76 diesel (1). Transcriptional profiling demonstrated that P. aeruginosa ATCC 33988 is highly adapted to the fuel environment and is able to regulate multiple metabolic pathways to enhance its resistance to fuel (2). The wealth of information on the regulation and metabolism of P. aeruginosa ATCC 33988 and its high capacity for hydrocarbon degradation compelled us to define its genetic makeup by sequencing its genome. P. aeruginosa ATCC 33988 was sequenced on a Roche 454 GS Junior platform using a whole-genome shotgun (WGS) approach, resulting in 388,306 reads. The sequence reads were assembled with the Roche de novo Assembly software. The assembly reported 224 large (>500 bp) contigs, with an N50 of 68,712 bp. The longest contig was 235,965 bp. The draft genome sequence is 6,410,803 bases in length, with a G+C content of 66.3%, which is similar to the 66% G+C content of the P. aeruginosa PAO1 strain. Rapid genome annotation using the RAST annotation server (3) described 5,975 coding sequences (CDSs) and 60 structural RNAs, which consist of one 16S rRNA, one 23S rRNA, and 58 tRNAs. The coding sequences were classified into 564 subsystems, of which amino acids and derivatives (n = 716 CDSs), carbohydrates (n = 458), cofactors (n = 360), vitamins and pigments (n = 360), protein metabolism (n = 279), cofactors and membrane transport (n = 307), cell wall and capsule (n = 220), fatty acids, lipids, and isoprenoids (n = 212), stress response (n = 193), iron acquisition and metabolism (n = 146), virulence, disease, and defense (n = 142), metabolism of aromatic compounds (n = 125), and miscellaneous (n = 88) were the most abundant subsystems. These results support that this strain is well adapted to cope with biotic and abiotic stresses, including fuel contamination. A comparison of P. aeruginosa ATCC 33988 with other P. aeruginosa strains within the RAST database identified P. aeruginosa 19BR as its closest neighbor, with a score of 501, followed by P. aeruginosa 213BR, with a score of 490. P. aeruginosa PAO1 (taxonomy ID 208964.1) was the twelfth closest neighbor, with a score of 343. The P. aeruginosa ATCC 33988 transcriptome shows high similarity with the PAO1 strain, with hybridization to >5,460 probe sets contained within the PAO1 GeneChip Pae_G1a (2). A DNA sequence comparison of the genes related to the adaptation of P. aeruginosa ATCC 33988 to fuel, including alkane degradation (alkB1 and alkB2), efflux pumps and porins (oprF, oprG, mexC, mexD, oprJ, mexE, mexF, and oprN), biofilm formation (pelA, pelD, pelE, and algD), and iron acquisition (fur, pvcD, pvDE, pchF, and pfeR) were at least 99% identical to those in PAO1. Further analyses showed alkB1 and alkB2 have two synonymous single-nucleotide polymorphisms (SNPs) compared to the alkB1 and alkB2 genes of the PAO1 strain.

Nucleotide sequence accession number.

This whole-genome shotgun project has been deposited in DDBJ/EMBL/GenBank under the accession no. JPQQ00000000.
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Authors:  Thusitha S Gunasekera; Richard C Striebich; Susan S Mueller; Ellen M Strobel; Oscar N Ruiz
Journal:  Environ Sci Technol       Date:  2013-11-12       Impact factor: 9.028

2.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

  2 in total
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1.  Transcriptomic Analyses Elucidate Adaptive Differences of Closely Related Strains of Pseudomonas aeruginosa in Fuel.

Authors:  Thusitha S Gunasekera; Loryn L Bowen; Carol E Zhou; Susan C Howard-Byerly; William S Foley; Richard C Striebich; Larry C Dugan; Oscar N Ruiz
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Review 2.  Current research on simultaneous oxidation of aliphatic and aromatic hydrocarbons by bacteria of genus Pseudomonas.

Authors:  Anastasiya A Ivanova; Svetlana A Mullaeva; Olesya I Sazonova; Kirill V Petrikov; Anna A Vetrova
Journal:  Folia Microbiol (Praha)       Date:  2022-03-22       Impact factor: 2.629

Review 3.  Efflux systems in bacteria and their metabolic engineering applications.

Authors:  Christopher M Jones; Néstor J Hernández Lozada; Brian F Pfleger
Journal:  Appl Microbiol Biotechnol       Date:  2015-09-12       Impact factor: 4.813

4.  A comprehensive multi-omics approach uncovers adaptations for growth and survival of Pseudomonas aeruginosa on n-alkanes.

Authors:  Sarah L Grady; Stephanie A Malfatti; Thusitha S Gunasekera; Brian K Dalley; Matt G Lyman; Richard C Striebich; Michael B Mayhew; Carol L Zhou; Oscar N Ruiz; Larry C Dugan
Journal:  BMC Genomics       Date:  2017-04-28       Impact factor: 3.969

5.  Draft Genome Sequence of Achromobacter spanius Strain 6, a Soil Bacterium Isolated from a Hydrocarbon-Degrading Microcosm.

Authors:  Thusitha S Gunasekera; Osman Radwan; Loryn L Bowen; Lisa M Brown; Oscar N Ruiz
Journal:  Microbiol Resour Announc       Date:  2018-09-20

6.  Transcriptomic analysis of the highly efficient oil-degrading bacterium Acinetobacter venetianus RAG-1 reveals genes important in dodecane uptake and utilization.

Authors:  Ankita Kothari; Marimikel Charrier; Yu-Wei Wu; Stephanie Malfatti; Carol E Zhou; Steven W Singer; Larry Dugan; Aindrila Mukhopadhyay
Journal:  FEMS Microbiol Lett       Date:  2016-09-22       Impact factor: 2.742

  6 in total

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