Skip to main content
Microbiology Resource Announcements logoLink to Microbiology Resource Announcements
. 2018 Sep 20;7(11):e01124-18. doi: 10.1128/MRA.01124-18

Draft Genome Sequence of Achromobacter spanius Strain 6, a Soil Bacterium Isolated from a Hydrocarbon-Degrading Microcosm

Thusitha S Gunasekera a, Osman Radwan a, Loryn L Bowen a, Lisa M Brown a, Oscar N Ruiz b,
Editor: J Cameron Thrashc
PMCID: PMC6256655  PMID: 30533632

Achromobacter spanius strain 6 is a Gram-negative soil bacterium isolated from a hydrocarbon-degrading microcosm. The draft genome sequence of A. spanius strain 6 is 6.57 Mb with a G+C content of 64.7% and 5,855 protein coding genes.

ABSTRACT

Achromobacter spanius strain 6 is a Gram-negative soil bacterium isolated from a hydrocarbon-degrading microcosm. The draft genome sequence of A. spanius strain 6 is 6.57 Mb with a G+C content of 64.7% and 5,855 protein coding genes. Multiple genes involved in degradation of aromatics are present in this strain.

ANNOUNCEMENT

Achromobacter spanius strain 6 was isolated as a predominant member of the hydrocarbon-degrading bacterial community in a desert soil sample obtained from under a fuel bladder in Kuwait (1). Achromobacter spp. have been shown to grow using aromatic compounds (2). The desert soil sample was initially enriched in jet fuel, and the starter enrichment was subjected to 5 successive enrichments with jet fuel. From the fifth enrichment, a pure Achromobacter spanius colony was isolated on Trypticase soy agar (TSA). The prevalence of A. spanius strain 6 in the jet fuel enrichments prompted us to sequence its genome to obtain a better understanding of the metabolic and adaptive pathways in this bacterium. Previously, the whole-genome sequence of P. aeruginosa ATCC 33988 (3) helped researchers to understand the hydrocarbon degradation pathways and fuel-adaptive mechanisms in this bacterium (46).

High-quality genomic DNA was isolated from an overnight-grown monoculture of A. spanius strain 6 in lysogeny broth (LB) using the UltraClean Microbial DNA isolation kit, (Mo Bio Laboratories, Carlsbad, CA) and was subjected to DNA library preparation using the SMARTer Apollo library prep system (TaKaRa Bio, Mountain View, CA). The ligated and indexed pre-PCR library was enriched by performing 5 cycles of PCR using the NEBNext high-fidelity 2× PCR master mix. The amplified library was purified for quality control (QC) analysis and sequencing using the Apollo PCR cleanup script and AMPure XP beads (Beckman Coulter, Brea, CA). The purified library was then sequenced using an Illumina HiSeq 1000 sequencer, producing 33,278,050 paired-end reads with a read length of 100 bp. The raw sequence reads were trimmed using Trimmomatic version 0.36 (7) with the following settings: LEADING, threshold quality of 5; TRAILING, threshold quality of 5; SLIDINGWINDOW, average quality of 15 across 4 bp; AVGQUAL, average read quality of 15; and MINLEN, minimum length of 50 bp. The trimmed reads were de novo assembled using SPAdes version 3.11.0 (8) with the settings "careful" and "only-assembler." The draft genome assembly comprises 57 scaffolds with an L50 value of 6 bp and an N50 value of 425,841 bp. The genome size of A. spanius strain 6 is 6.57 Mb with a G+C content of 64.7% and 5,855 protein coding genes.

Genome annotation was performed using the Prokaryotic Genome Annotation Pipeline (PGAP; https://www.ncbi.nlm.nih.gov/genome/annotation_prok/), and metabolic networks were constructed with Rapid Annotations using Subsystem Technology (RAST) (9). RAST predicted 195, 511, and 211 proteins related to stress response, membrane transport, and metabolism of aromatic compounds, respectively. The 16S rRNA gene sequence of A. spanius strain 6 shares 100% homology with the16S rRNA gene of A. spanius strain DSM 23806. However, the 23S rRNA gene of strain 6 presents four mismatches and a similarity of only 99% with strain DS23806, indicating that A. spanius strain 6 is a different strain. Previous studies have shown that stress response and solvent resistance mechanisms play central roles in the adaptation of bacteria to hydrocarbon fuel (4, 5). The presence of genes related to hydrocarbon degradation, including those involved in catabolism of aromatic compounds, stress response, and membrane transport in the genome of A. spanius strain 6, may explain why this strain is well adapted to jet fuel. The NCBI Prokaryotic Genome Annotation Pipeline predicted multiple genes responsible for aromatic degradation, including naphthalene 1,2-dioxygenase, gentisate 1,2-dioxygenase, catechol 1,2-dioxygenase, and protocatechuate 3,4-dioxygenase. Understanding microbial interactions and bacterial community structure in environments contaminated with hydrocarbons is essential when developing bioremediation strategies (10). The genome sequence of A. spanius strain 6 will help us understand the genetic mechanisms utilized by this organism to thrive in hydrocarbon-rich environments.

Data availability.

This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession number PREU00000000. Raw sequences were deposited in the NCBI SRA database under accession number SRP158285.

ACKNOWLEDGMENTS

This material is based on research sponsored by AFRL/RQTF under agreement FA8650-16-2-2605. The U.S. government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the AFRL/RQTF or the U.S. government.

REFERENCES

  • 1.Ruiz ON, Brown LM, Striebich RC, Mueller SS, Gunasekera TS. 2015. Draft genome sequence of Pseudomonas frederiksbergensis SI8, a psychrotrophic aromatic-degrading bacterium. Genome Announc 3:e00811-15. doi: 10.1128/genomeA.00811-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bacosa HP, Suto K, Inoue C. 2012. Bacterial community dynamics during the preferential degradation of aromatic hydrocarbons by a microbial consortium. Int Biodeterior Biodegradation 74:109–115. doi: 10.1016/j.ibiod.2012.04.022. [DOI] [Google Scholar]
  • 3.Brown LM, Gunasekera TS, Ruiz ON. 2014. Draft genome sequence of Pseudomonas aeruginosa ATCC 33988, a bacterium highly adapted to fuel-polluted environments. Genome Announc 2:e01113-14. doi: 10.1128/genomeA.01113-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Gunasekera TS, Striebich RC, Mueller SS, Strobel EM, Ruiz ON. 2013. Transcriptional profiling suggests that multiple metabolic adaptations are required for effective proliferation of Pseudomonas aeruginosa in jet fuel. Environ Sci Technol 47:13449–13458. doi: 10.1021/es403163k. [DOI] [PubMed] [Google Scholar]
  • 5.Gunasekera TS, Bowen LL, Zhou CE, Howard-Byerly SC, Foley WS, Striebich RC, Dugan LC, Ruiz ON. 2017. Transcriptomic analyses elucidate adaptive differences of closely related strains of Pseudomonas aeruginosa in fuel. Appl Environ Microbiol 83:e03249-16. doi: 10.1128/AEM.03249-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Grady SL, Malfatti SA, Gunasekera TS, Dalley BK, Lyman MG, Striebich RC, Mayhew MB, Zhou CL, Ruiz ON, Dugan LC. 2017. A comprehensive multi-omics approach uncovers adaptations for growth and survival of Pseudomonas aeruginosa on n-alkanes. BMC Genomics 18:334. doi: 10.1186/s12864-017-3708-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.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]
  • 8.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]
  • 9.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. doi: 10.1186/1471-2164-9-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Ruiz ON, Brown LM, Striebich RC, Smart CE, Bowen LL, Lee JS, Little BJ, Mueller SS, Gunasekera TS. 2016. Effect of conventional and alternative fuels on a marine bacterial community and the significance to bioremediation. Energy Fuels 30:434–444. doi: 10.1021/acs.energyfuels.5b02439. [DOI] [Google Scholar]

Associated Data

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

Data Availability Statement

This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession number PREU00000000. Raw sequences were deposited in the NCBI SRA database under accession number SRP158285.


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

RESOURCES