Skip to main content
Genome Announcements logoLink to Genome Announcements
. 2017 Aug 10;5(32):e00774-17. doi: 10.1128/genomeA.00774-17

First Insights into the Genome Sequence of Pseudomonas oleovorans DSM 1045

Anja Poehlein a, Rolf Daniel a, Andrea Thürmer a, Alexander Bollinger b, Stephan Thies b, Nadine Katzke b, Karl-Erich Jaeger b,c,
PMCID: PMC5552989  PMID: 28798180

ABSTRACT

The Gram-negative proteobacterium Pseudomonas oleovorans DSM 1045 is considered a promising source for enzymes of biotechnological interest, e.g., hydrolases and transaminases. Here, we present a draft sequence of its 4.86-Mb genome, enabling the identification of novel biocatalysts.

GENOME ANNOUNCEMENT

Hydrocarbon-degrading bacteria, including members of the genus Pseudomonas, represent a promising source for novel biocatalysts of biotechnological relevance (1, 2). Belonging to this group, the Pseudomonas oleovorans type strain DSM 1045 was isolated as a contaminant of industrial cutting fluids and shown to utilize cyclic aliphatic hydrocarbons, like naphtenic acids (2). Its biotechnological potential was indicated by the observation that cell extracts could catalyze ω-transamination reactions (3).

Chromosomal DNA of Pseudomonas oleovorans DSM 1045 was isolated from 2 ml of overnight-grown culture (growth medium LB, 30°C; Carl-Roth-Karlsruhe) using the DNeasy blood and tissue kit (Qiagen, Hilden, Germany), according to the manufacturer’s instructions. The extracted DNA was used to generate Illumina shotgun paired-end sequencing libraries, which were sequenced with a MiSeq instrument and the MiSeq reagent kit version 3 (600 cycles), as recommended by the manufacturer (Illumina, San Diego, CA, USA). Quality filtering using Trimmomatic version 0.32 (4) resulted in 2,602,096 paired-end reads. The assembly was performed with the SPAdes genome assembler software version 3.8.0 (5) and resulted in 108 contigs (>500 bp), with an average coverage of 112-fold. The assembly was validated and the read coverage determined with QualiMap version 2.1 (6). The draft genome of P. oleovorans DSM 1045 consisted of a single chromosome (4.86 Mb) with an overall G+C content of 62.07%. Automatic gene prediction and identification of rRNA and tRNA genes were performed using the software tool Prokka (7). The draft genome contained 7 rRNA genes, 62 tRNA genes, 3,398 protein-coding genes with predicted functions, and 1,243 genes coding for hypothetical proteins.

A homology search for biocatalysts of potential biotechnological relevance with all in silico-translated coding sequences (CDSs) using BLASTP (8) led to the detection of 15 putative enzymes predicted to be lipases, esterases, or phospholipases. Furthermore, three putative ω-transaminases were identified, and one imine reductase was identified according to sequence motifs described in Fademrecht et al. (9). Genes encoding a Sec and Tat secretion pathway, as well as genes encoding a type II secretion machinery, were identified, indicating the potential to produce extracellular enzymes. Furthermore, biosynthetic capabilities are predicted for antimicrobial bacteriocins and polyhydroxyalkanoate biopolymers, as identified with antiSMASH 4.0.0rc1 (10). An aliphatic alkane degradation pathway could not be detected, coinciding with the observation that this strain does not grow on long-chain alkanes (11). Genes encoding homologs to aliphatic alcohol dehydrogenase AlkJ (of Pseudomonas putida GPo1) and rhamnosyltransferase RhlA (of Pseudomonas aeruginosa) further suggest capabilities for the synthesis of aliphatic alcohols and of 3-(hydroxyalkanoyloxy)alkanoic acid type biosurfactants.

Accession number(s).

This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession no. NIUB00000000. The version described in this paper is version NIUB01000000.

ACKNOWLEDGMENTS

This work was supported by the European Commission through EU Horizon 2020 Project INMARE (contract no. 634486) and the ERA Net IB2 Project MetaCat through German Federal Ministry of Education and Research (BMBF) (grant no. ERA-IB-14-030). A.B. gratefully acknowledges the Bioeconomy Science Center, which is financially supported by the Ministry of Innovation, Science, and Research of the state of North Rhine-Westphalia, Germany, in the framework of the NRW Strategieprojekt BioSC (no. 313/323-400-00213).

We thank Melanie Heinemann for technical support.

Footnotes

Citation Poehlein A, Daniel R, Thürmer A, Bollinger A, Thies S, Katzke N, Jaeger K-E. 2017. First insights into the genome sequence of Pseudomonas oleovorans DSM 1045. Genome Announc 5:e00774-17. https://doi.org/10.1128/genomeA.00774-17.

REFERENCES

  • 1.Yakimov MM, Timmis KN, Golyshin PN. 2007. Obligate oil-degrading marine bacteria. Curr Opin Biotechnol 18:257–266. doi: 10.1016/j.copbio.2007.04.006. [DOI] [PubMed] [Google Scholar]
  • 2.Lee M, Chandler AC. 1941. A study of the nature, growth and control of bacteria in cutting compounds. J Bacteriol 41:373–386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Clay D, Koszelewski D, Grischek B, Gross J, Lavandera I, Kroutil W. 2010. Testing of microorganisms for ω-transaminase activity. Tetrahedron Asymmetry 21:2005–2009. doi: 10.1016/j.tetasy.2010.07.009. [DOI] [Google Scholar]
  • 4.Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Okonechnikov K, Conesa A, García-Alcalde F. 2016. Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data. Bioinformatics 32:292–294. doi: 10.1093/bioinformatics/btv566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 8.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Fademrecht S, Scheller PN, Nestl BM, Hauer B, Pleiss J. 2016. Identification of imine reductase-specific sequence motifs. Proteins 84:600–610. doi: 10.1002/prot.25008. [DOI] [PubMed] [Google Scholar]
  • 10.Weber T, Blin K, Duddela S, Krug D, Kim HU, Bruccoleri R, Lee SY, Fischbach MA, Müller R, Wohlleben W, Breitling R, Takano E, Medema MH. 2015. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Res 43:W237–W243. doi: 10.1093/nar/gkv437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Vomberg A, Klinner U. 2000. Distribution of alkB genes within n-alkane-degrading bacteria. J Appl Microbiol 89:339–348. doi: 10.1046/j.1365-2672.2000.01121.x. [DOI] [PubMed] [Google Scholar]

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

RESOURCES