Literature DB >> 28798180

First Insights into the Genome Sequence of Pseudomonas oleovorans DSM 1045.

Anja Poehlein1, Rolf Daniel1, Andrea Thürmer1, Alexander Bollinger2, Stephan Thies2, Nadine Katzke2, Karl-Erich Jaeger3,4.   

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.
Copyright © 2017 Poehlein et al.

Entities:  

Year:  2017        PMID: 28798180      PMCID: PMC5552989          DOI: 10.1128/genomeA.00774-17

Source DB:  PubMed          Journal:  Genome Announc


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.
  10 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Identification of imine reductase-specific sequence motifs.

Authors:  Silvia Fademrecht; Philipp N Scheller; Bettina M Nestl; Bernhard Hauer; Jürgen Pleiss
Journal:  Proteins       Date:  2016-03-06

3.  A Study of the Nature, Growth and Control of Bacteria in Cutting Compounds.

Authors:  M Lee; A C Chandler
Journal:  J Bacteriol       Date:  1941-03       Impact factor: 3.490

Review 4.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

5.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

6.  Distribution of alkB genes within n-alkane-degrading bacteria.

Authors:  A Vomberg; U Klinner
Journal:  J Appl Microbiol       Date:  2000-08       Impact factor: 3.772

Review 7.  Obligate oil-degrading marine bacteria.

Authors:  Michail M Yakimov; Kenneth N Timmis; Peter N Golyshin
Journal:  Curr Opin Biotechnol       Date:  2007-05-09       Impact factor: 9.740

8.  antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters.

Authors:  Tilmann Weber; Kai Blin; Srikanth Duddela; Daniel Krug; Hyun Uk Kim; Robert Bruccoleri; Sang Yup Lee; Michael A Fischbach; Rolf Müller; Wolfgang Wohlleben; Rainer Breitling; Eriko Takano; Marnix H Medema
Journal:  Nucleic Acids Res       Date:  2015-05-06       Impact factor: 16.971

9.  Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data.

Authors:  Konstantin Okonechnikov; Ana Conesa; Fernando García-Alcalde
Journal:  Bioinformatics       Date:  2015-10-01       Impact factor: 6.937

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

  10 in total
  2 in total

1.  Bioprospecting Reveals Class III ω-Transaminases Converting Bulky Ketones and Environmentally Relevant Polyamines.

Authors:  Cristina Coscolín; Nadine Katzke; Antonio García-Moyano; José Navarro-Fernández; David Almendral; Mónica Martínez-Martínez; Alexander Bollinger; Rafael Bargiela; Christoph Gertler; Tatyana N Chernikova; David Rojo; Coral Barbas; Hai Tran; Olga V Golyshina; Rainhard Koch; Michail M Yakimov; Gro E K Bjerga; Peter N Golyshin; Karl-Erich Jaeger; Manuel Ferrer
Journal:  Appl Environ Microbiol       Date:  2019-01-09       Impact factor: 4.792

Review 2.  The biotechnological potential of marine bacteria in the novel lineage of Pseudomonas pertucinogena.

Authors:  Alexander Bollinger; Stephan Thies; Nadine Katzke; Karl-Erich Jaeger
Journal:  Microb Biotechnol       Date:  2018-06-25       Impact factor: 5.813

  2 in total

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