Skip to main content
Microbiology Resource Announcements logoLink to Microbiology Resource Announcements
. 2019 Jan 10;8(2):e01171-18. doi: 10.1128/MRA.01171-18

Complete Genome Sequence of Pseudomonas sp. Strain phDV1, an Isolate Capable of Efficient Degradation of Aromatic Hydrocarbons

Hao Xie a,, Giannis Valsamidis b, Eirini Mathioudaki b, Georgios Tsiotis b,
Editor: David A Baltrusc
PMCID: PMC6328649  PMID: 30643876

Pseudomonas sp. strain phDV1 is a Gram-negative bacterium capable of degrading aromatic hydrocarbons. Here, we present the complete genome sequence of this strain, which consists of 4,727,682 bp, with a 62.3% G+C content and 4,574 genes.

ABSTRACT

Pseudomonas sp. strain phDV1 is a Gram-negative bacterium capable of degrading aromatic hydrocarbons. Here, we present the complete genome sequence of this strain, which consists of 4,727,682 bp, with a 62.3% G+C content and 4,574 genes. Multiple genes responsible for the degradation of aromatics are present in this strain.

ANNOUNCEMENT

Pseudomonas sp. strain phDV1 was isolated from a petroleum-contaminated site in Denmark (1, 2). Pseudomonas sp. phDV1 was shown, through gas chromatography-mass spectrometry (GC-MS) and proteomics analysis, to efficiently metabolize phenol, toluene, o-cresol, naphthalene, and 1,2,3-trimethylbenzene (14). The genome of Pseudomonas sp. phDV1 was chosen for sequencing due to its ability to degrade aromatics and grow in harsh hydrocarbon-containing environments.

A single colony of Pseudomonas sp. phDV1 was picked and cultured in lysogeny broth at 32°C. Genomic DNA was extracted from the cultures using the Gentra Puregene Yeast/Bact. kit (Qiagen, Germany). A PacBio 10-kb sequencing library was constructed using the PacBio template prep kit following the manufacturer’s protocols (Pacific Biosciences, USA). The genome of Pseudomonas sp. phDV1 was sequenced using the PacBio RS II system on single-molecule real-time (SMRT) cells using PacBio P6-C4 chemistry at Beijing Novogene Technology Co. Ltd. (China). The raw reads were filtered in SMRT Portal (version 3.2.0), with 0.75 as the minimum read quality and 500 bp as the minimum read length. The clean data (983,266,888 bp, 98,763 reads, 208× coverage) were de novo assembled using the Hierarchical Genome Assembly Process (HGAP) (5) in SMRT Portal (version 3.2.0) to generate one contig without gaps. The genome of Pseudomonas sp. phDV1 consists of a circular chromosome, which is 4,727,682 bp in length, with a G+C content of 62.3%. No plasmid was found in this strain. The genome annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline (6), which predicted 4,574 genes, including 4,081 coding sequences (CDSs), 411 pseudogenes, 4 copies of each of the rRNA genes (5S, 16S, and 23S), 65 tRNAs, and 5 noncoding RNAs.

For functional annotation, the predicted protein-coding sequences were searched against the Clusters of Orthologous Groups (COG) of proteins (7), Gene Ontology (GO) (8), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases (9). According to the annotation results, multiple genes involved in hydrocarbon degradation were found in the genome. Among them, the operon dmpKLMNOPQBCDEFGHI encoding proteins involved in phenol degradation resemble the canonical genetic organization of Pseudomonas sp. strain CF600 type (10). The tmoABCDEF cluster encoding a multicomponent toluene 4-monooxygenase, involved in the degradation of toluene and various cresol compounds, is located 6 kb upstream of the dmp operon. In addition, homogentisate 1,2-dioxygenase, 2-alkenal reductase, P450, xylene monooxygenase, protocatechuate 3,4-dioxygenase, and 4-carboxymuconolactone decarboxylase were present as well. The presence of these enzymes likely explains the aromatic degradation capacities of Pseudomonas sp. phDV1.

The 16S rRNA sequence analysis using the genomic-based 16S rRNA database (GRD; http://metasystems.riken.jp/grd/) revealed that Pseudomonas sp. phDV1 shares 99.93% and 99.41% similarity with Pseudomonas pseudoalcaligenes CECT5344 and Pseudomonas mendocina NK-01, respectively. At the genome level, the OrthoANIu algorithm was used to calculate the average nucleotide identity (ANI) value (11), and the Genome-to-Genome Distance Calculator (GGDC) was employed to estimate the in silico DNA-DNA hybridization (isDDH) value (12). The ANI and isDDH values between Pseudomonas sp. phDV1 and Pseudomonas pseudoalcaligenes CECT5344 were 96.52% and 70.30%, respectively, while both values were substantially lower (88.64% for ANI and 36.70% for isDDH) when Pseudomonas sp. phDV1 was compared to Pseudomonas mendocina NK-01. Based on these results, we suggest the transfer of Pseudomonas sp. phDV1 to the species Pseudomonas pseudoalcaligenes as strain phDV1.

Data availability.

The PacBio sequencing reads have been deposited in the NCBI Sequence Read Archive (SRA) under the accession number SRR8212849. The whole-genome sequence has been deposited at GenBank under the accession number CP031606. The version described in this paper is the first version, CP031606.1.

ACKNOWLEDGMENTS

This research was supported by the Max Planck Society, the University of Crete, and the Greek Ministry of Education.

Hartmut Michel, Max Planck Institute of Biophysics, is gratefully acknowledged for his support.

REFERENCES

  • 1.Polymenakou PN, Stephanou EG. 2005. Effect of temperature and additional carbon sources on phenol degradation by an indigenous soil pseudomonad. Biodegradation 16:403–413. doi: 10.1007/s10532-004-3333-1. [DOI] [PubMed] [Google Scholar]
  • 2.Tsirogianni I, Aivaliotis M, Karas M, Tsiotis G. 2004. Mass spectrometric mapping of the enzymes involved in the phenol degradation of an indigenous soil pseudomonad. Biochim Biophys Acta 1700:117–123. doi: 10.1016/j.bbapap.2004.04.003. [DOI] [PubMed] [Google Scholar]
  • 3.Tsirogianni E, Aivaliotis M, Papasotiriou DG, Karas M, Tsiotis G. 2006. Identification of inducible protein complexes in the phenol degrader Pseudomonas sp. strain phDV1 by blue native gel electrophoresis and mass spectrometry. Amino Acids 30:63–72. doi: 10.1007/s00726-005-0219-4. [DOI] [PubMed] [Google Scholar]
  • 4.Tsirogianni E, Aivaliotis M, Karas M, Tsiotis G. 2005. Detection and characterisation of catechol 2,3-dioxygenase in an indigenous soil pseudomonad by MALDI-TOF MS using a column separation. Biodegradation 16:181–186. doi: 10.1007/s10532-004-4885-9. [DOI] [PubMed] [Google Scholar]
  • 5.Chin C-S, Alexander DH, Marks P, Klammer AA, Drake J, Heiner C, Clum A, Copeland A, Huddleston J, Eichler EE, Turner SW, Korlach J. 2013. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat Methods 10:563–569. doi: 10.1038/nmeth.2474. [DOI] [PubMed] [Google Scholar]
  • 6.Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI Prokaryotic Genome Annotation Pipeline. Nucleic Acids Res 44:6614–6624. doi: 10.1093/nar/gkw569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tatusov RL, Galperin MY, Natale DA, Koonin EV. 2000. The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res 28:33–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. 2000. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 25:25–29. doi: 10.1038/75556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Kanehisa M, Goto S, Kawashima S, Okuno Y, Hattori M. 2004. The KEGG resource for deciphering the genome. Nucleic Acids Res 32:D277–D280. doi: 10.1093/nar/gkh063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Powlowski J, Shingler V. 1994. Genetics and biochemistry of phenol degradation by Pseudomonas sp. CF600. Biodegradation 5:219–236. [DOI] [PubMed] [Google Scholar]
  • 11.Yoon S-H, Ha S-M, Lim J, Kwon S, Chun J. 2017. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie Van Leeuwenhoek 110:1281–1286. doi: 10.1007/s10482-017-0844-4. [DOI] [PubMed] [Google Scholar]
  • 12.Meier-Kolthoff JP, Auch AF, Klenk H-P, Göker M. 2013. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 14:60. doi: 10.1186/1471-2105-14-60. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The PacBio sequencing reads have been deposited in the NCBI Sequence Read Archive (SRA) under the accession number SRR8212849. The whole-genome sequence has been deposited at GenBank under the accession number CP031606. The version described in this paper is the first version, CP031606.1.


Articles from Microbiology Resource Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES