Abstract
Pseudomonas taeanensis MS-3T, isolated from a crude oil-contaminated seashore in South Korea, is capable of degrading petroleum oils, such as gasoline, diesel, and kerosene. Here, we report the draft genome sequence of this strain, which consists of 5,477,045 bp, with a G+C content of 60.72%.
GENOME ANNOUNCEMENT
Many Pseudomonas strains not only have been reported to degrade a variety of man-made pollutants, including petroleum oil compounds (1, 2), but have been successfully applied in the bioremediation of contaminated sites (3–5).
Recently, frequent severe contamination of the marine environment by oil spill accidents stimulated environmental microbiologists to isolate powerful oil-degrading bacteria that can be used for bioremediation of the marine environment (6). Microbial genomes and genes involved with oil biodegradation in the marine system have been also reported by a few microbiologists (7, 8).
Pseudomonas taeanensis MS-3T, isolated from crude oil-contaminated seashore in Taean, South Korea, was reported as a novel species of Pseudomonas capable of degrading petroleum oils, such as gasoline, diesel, and kerosene (9). P. taeanensis MS-3T degraded approximately 80% of gasoline and 100% of kerosene and diesel, all of which were used at 3% concentration during 7 days of incubation under aerobic conditions.
Notably, the alkane hydroxylase gene in P. taeanensis MS-3T shares 87.0%, 85.3%, and 82.1% similarity, based on 184 amino acids, with alkane 1-monooxygenases of Pseudomonas aeruginosa M18, Pseudomonas mendocina NK-01, and Pseudomonas denitrificans ATCC 13867, respectively. The availability of only limited information on P. taeanensis MS-3T regarding these noble alkane genes responsible for the degradation of petroleum oils motivated our efforts to sequence the P. taeanensis MS-3T genome.
The P. taeanensis MS-3T draft genome was generated using the Illumina MiSeq platform (San Diego, CA). As the result of a paired-end library, we had 4,330,258 reads with a read length of 150 bp and a mate-paired library with an insert size of 5 kb. We obtained total 26,854,288 reads with a read length of 37 bp. The total amount of reads data is 5,056 Mb.
The sequencing data were assembled with CLC Genomics Workbench (CLC bio, Aarhus, Denmark) version 6.0.2 after trimming of data quality control by using PrinSeq-lite version 0.20.3 (10). All reads were assembled into 19 contigs. The total contig length is 5,477,045 bp, with a G+C content of 60.72% and an N50 contig length of 1,013,530 bp. All contigs generated were submitted to the Rapid Annotations using Subsystems Technology (RAST) server for genome annotation (11). As a result, the numbers of genes and protein coding sequences are predicted to be 5,111 and 5,058, respectively. Additionally, 3 rRNAs and 50 tRNAs were predicted. The strain is available at the Korean Collection for Type Culture (KCTC) and Japan Collection of Microorganisms (JCM).
Nucleotide sequence accession numbers.
The draft genome sequence of P. taeanensis MS-3T has been deposited at DBBJ/EMBL/GenBank under the accession no. AWSQ00000000. The version described in this paper is version AWSQ01000000.
ACKNOWLEDGMENTS
This work was supported by the Marine and Extreme Genome Research Center Program of the Ministry of Land, Transportation, and Maritime Affairs, Republic of Korea. H.Y.K. was supported by the Ministry of Environment of the Republic of Korea (grant no. 2008-05001-0033-0) and Y.H.C. was partially supported by a KBSI grant (no. T33417).
Footnotes
Citation Lee S-Y, Kim SH, Lee D-G, Shin S, Yun SH, Choi C-W, Chung Y-H, Choi JS, Kahng H-Y, Kim SI. 2014. Draft genome sequence of petroleum oil-degrading marine bacterium Pseudomonas taeanensis strain MS-3, isolated from a crude oil-contaminated seashore. Genome Announc. 2(1):e00818-13. doi:10.1128/genomeA.00818-13.
REFERENCES
- 1. Kahng HY, Nam KP. 2002. Molecular characteristics of Pseudomonas rhodesiae strain KK1 in response to phenanthrene. J. Microbiol. Biotechnol. 12:734729 [Google Scholar]
- 2. Liu HJ, Yang C, Tian Y, Lin G, Zheng T. 2010. Screening of PAH-degrading bacteria in a mangrove swamp using PCR-RFLP. Mar. Pollut. Bull. 60:2056–2061. 10.1016/j.marpolbul.2010.07.013 [DOI] [PubMed] [Google Scholar]
- 3. Atlas RM. 1985. Effects of hydrocarbons on microorganisms and biodegradation in Arctic ecosystems, p 63–99 In Engelhardt FR. (ed), Petroleum effects in the Arctic environment. Elsevier, London, United Kingdom [Google Scholar]
- 4. Mishra S, Jyot J, Kuhad RC, Lal B. 2001. In situ bioremediation potential of an oily sludge-degrading bacterial consortium. Curr. Microbiol. 43:328–335. 10.1007/s002840010311 [DOI] [PubMed] [Google Scholar]
- 5. Gray ND, Sherry A, Hubert C, Dolfing J, Head LM. 2010. Metanogenic degradation of petroleum hydrocarbons in subsurface environments: remediation, heavy oil formation, and energy recovery, p 137–161 In Laskin AI, Sariaslani S, Geoffrey MG. (ed), Advances in applied microbiology. Academic Press, Burlington, MA: [DOI] [PubMed] [Google Scholar]
- 6. Yakimov MM, Timmis KN, Golyshin PN. 2007. Obligate oil-degrading marine bacteria. Curr. Opin. Biotechnol. 18:257–266. 10.1016/j.copbio.2007.04.006 [DOI] [PubMed] [Google Scholar]
- 7. Sotsky JB, Greer CW, Atlas RM. 1994. Frequency of genes in aromatic and aliphatic hydrocarbon biodegradation pathways within bacterial populations from Alaskan sediments. Can. J. Microbiol. 40:981–985. 10.1139/m94-157 [DOI] [PubMed] [Google Scholar]
- 8. Martins dos Santos VAP, Yakimov MM, Timmis KN, Golyshin PN. 2008. Genomic insights into oil biodegradation in marine systems. In Díaz E. (ed), Microbial biodegradation: genomic and molecular biology. Caister Academic Press, Norfolk, United Kingdom [Google Scholar]
- 9. Lee DH, Moon SR, Park YH, Kim JH, Kim H, Parales RE, Kahng HY. 2010. Pseudomonas taeanensis sp. nov., isolated from a crude oil-contaminated seashore. Int. J. Syst. Evol. Microbiol. 60:2719–2723. 10.1099/ijs.0.018093-0 [DOI] [PubMed] [Google Scholar]
- 10. Schmieder R, Edwards R. 2011. Quality control and preprocessing of metagenomic datasets. Bioinformatics 27:863–864. 10.1093/bioinformatics/btr026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. 2008. The RAST server: rapid annotations using subsystems technology. BMC Genomics 9:75. 10.1186/1471-2164-9-75 [DOI] [PMC free article] [PubMed] [Google Scholar]
