Literature DB >> 28428290

Draft Genome Sequence of Acinetobacter johnsonii C6, an Environmental Isolate Engaging in Interspecific Metabolic Interactions.

Rolf Sommer Kaas1, Hanne Mordhorst1, Pimlapas Leekitcharoenphon1, Jacob Dyring Jensen1, Janus A J Haagensen2, Søren Molin2, Sünje Johanna Pamp3.   

Abstract

Acinetobacter johnsonii C6 originates from creosote-polluted groundwater and performs ecological and evolutionary interactions with Pseudomonas putida in biofilms. The draft genome of A. johnsonii C6 is 3.7 Mbp and was shaped by mobile genetic elements. It reveals genes facilitating the biodegradation of aromatic hydrocarbons and resistance to antimicrobials and metals.
Copyright © 2017 Kaas et al.

Entities:  

Year:  2017        PMID: 28428290      PMCID: PMC5399249          DOI: 10.1128/genomeA.00155-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Acinetobacter johnsonii C6 (formerly, Acinetobacter sp. strain C6) was isolated in 1994 from a microbial community of a creosote-contaminated aquifer at a gasworks in Fredensborg, Denmark (1, 2). Creosotes are mixtures of chemicals formed during natural gas production, which can contain aromatic hydrocarbons and a variety of heterocycles. Despite their toxicity, creosotes were used as medical treatment against infections, toothache, gastrointestinal, and respiratory complications. A. johnsonii C6 forms biofilms and participates in interspecific interactions, including metabolic interactions, with Pseudomonas putida (3–6). The genetic determinants for these activities are largely unknown. Here, we report the draft genome sequence of A. johnsonii C6. It was generated using Illumina MiSeq sequencing (2 × 250 cycles), yielding 593,389 raw read pairs and a depth of coverage of ~68×. The reads were trimmed and filtered using bbduk2 (BBMap 35.82) (http://jgi.doe.gov/data-and-tools/bbtools/) and assembled using SPAdes 3.7.0 (7). Contigs smaller than 500 bp or with coverage below 2× were removed. The draft genome is 3,705,435 bp in 26 contigs, with a G+C content of 41.7%. It contains 3,543 genes, as predicted using Prodigal (8), 77 tRNA genes, and one rRNA operon (16S, 23S, 5S). The 16S rRNA gene sequence had >99% sequence similarity to A. johnsonii XBB1 (accession no. NZ_CP010350.1), A. johnsonii ATCC 17909T (accession no. Z93440.1), and A. johnsonii DSM 6963 (accession no. X81663.1) (9–11). Putative functions for predicted proteins were assigned using PROKKA 1.1 and by comparing sequences to the public databases Pfam, KEGG, InterPro, and CARD (12–16), followed by submission-ready file conversion (https://bitbucket.org/RolfKaas/gff3_to_ena_embl). A. johnsonii C6 encodes proteins predicted to convert aromatic hydrocarbons, such as benzyl alcohol, benzoate, fluorobenzoate, dihydroxybenzoate, methylcatechol, methylbenzyl alcohol, hydroxybenzaldehyde, hydroxymethylnaphthalene, naphthalenemethanol, benzene, toluene, chlorobenzene, and cyclohexanol. Previously, it was shown that this strain could grow on toluene, benzyl alcohol, and benzoate (4, 5). A number of antimicrobials, as well as heavy metals (e.g., arsenate, mercury, tellurite, copper, and chromate), may be tolerated by A. johnsonii C6, mainly facilitated by proteins involved in their efflux, transport, reduction, and functions encoded by antibiotic resistance genes, such as blaOXA-334 (OXA-211 family) and catB. In vitro assays revealed that A. johnsonii C6 was resistant to chloramphenicol, trimethoprim, cefoxitin, and quinupristin-dalfopristin. A. johnsonii C6 may produce secondary metabolites, and it harbors biosynthetic gene clusters for a siderophore, aryl polyene, bacteriocin, and unknown metabolites, based on predictions by antiSMASH (17). The A. johnsonii C6 draft genome encodes 19 proteins containing GGDEF and/or EAL domains involved in c-di-GMP metabolism, and proteins involved in motility (pili), and secretion (type II secretion system [T2SS], T6SS, secretory-signal recognition particle [Sec-SRP], and Tat), suggesting dynamic interactions with their environment, including with other microorganisms. The presence of features related to plasmids, phages, and insertion sequence (IS) elements suggests that mobile genetic elements have shaped the evolution and ecology of A. johnsonii C6. The genome sequence of A. johnsonii C6 will facilitate the understanding of its physiology, evolution, and interaction with P. putida. Studies on A. johnsonii could also provide new insight into the biodegradation of aromatic hydrocarbons and resistance to antimicrobials and toxic metals, with relevance to environmental biotechnology.

Accession number(s).

The draft genome sequence of A. johnsonii C6 is available from DDBJ/ENA/GenBank under the accession number FUUY00000000.
  16 in total

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Journal:  Int J Syst Bacteriol       Date:  1997-07

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Authors:  Susse Kirkelund Hansen; Paul B Rainey; Janus A J Haagensen; Søren Molin
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3.  In situ gene expression in mixed-culture biofilms: evidence of metabolic interactions between community members.

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4.  Prokka: rapid prokaryotic genome annotation.

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

5.  Development of Spatial Distribution Patterns by Biofilm Cells.

Authors:  Janus A J Haagensen; Susse K Hansen; Bjarke B Christensen; Sünje J Pamp; Søren Molin
Journal:  Appl Environ Microbiol       Date:  2015-06-26       Impact factor: 4.792

6.  Activity and three-dimensional distribution of toluene-degrading Pseudomonas putida in a multispecies biofilm assessed by quantitative in situ hybridization and scanning confocal laser microscopy.

Authors:  S Møller; A R Pedersen; L K Poulsen; E Arvin; S Molin
Journal:  Appl Environ Microbiol       Date:  1996-12       Impact factor: 4.792

7.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

8.  The phylogenetic structure of the genus Acinetobacter.

Authors:  F A Rainey; E Lang; E Stackebrandt
Journal:  FEMS Microbiol Lett       Date:  1994-12-15       Impact factor: 2.742

9.  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

10.  The Pfam protein families database: towards a more sustainable future.

Authors:  Robert D Finn; Penelope Coggill; Ruth Y Eberhardt; Sean R Eddy; Jaina Mistry; Alex L Mitchell; Simon C Potter; Marco Punta; Matloob Qureshi; Amaia Sangrador-Vegas; Gustavo A Salazar; John Tate; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2015-12-15       Impact factor: 16.971

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Authors:  Xinli Mu; Haiyang Liu; Yue Yao; Feng Zhao; Youhong Fang; Yunsong Yu; Xiaoting Hua
Journal:  Microbiol Resour Announc       Date:  2022-04-04

2.  Rapid evolution destabilizes species interactions in a fluctuating environment.

Authors:  Alejandra Rodríguez-Verdugo; Martin Ackermann
Journal:  ISME J       Date:  2020-10-06       Impact factor: 10.302

Review 3.  Formation, Development, and Cross-Species Interactions in Biofilms.

Authors:  Aihua Luo; Fang Wang; Degang Sun; Xueyu Liu; Bingchang Xin
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