ABSTRACT

Here, we present the draft genome sequence of Bordetella sp. strain FB-8, a mixotrophic iron-oxidizing bacterium isolated from creek sediment in the former uranium-mining district of Ronneburg, Germany. To date, iron oxidation has not been reported in Bordetella species, indicating that FB-8 may be an environmentally important Bordetella sp.

ANNOUNCEMENT

The Gessen Creek, in the former uranium-mining district of Ronneburg (Thuringia, Germany), is contaminated with heavy metals and acid mine drainage (AMD) due to legacy acid leaching of low-grade black shale (13). However, heavy metals are naturally attenuated via coupled microbial iron cycling and metal precipitation (4, 5). To better understand the role of iron-oxidizing bacteria at the site, we isolated Bordetella sp. strain FB-8 from iron-rich, slightly acidic (pH 6.3) Gessen Creek sediments (site R3 [4]). Strain FB-8 was isolated as a microaerophilic, autotrophic iron oxidizer on FeCO3 plates and screened for metabolic properties (Table 1) in medium described by Akob et al. (6).
TABLE 1
TABLE 1 Metabolic screening of Bordetella sp. strain FB-8
Type of growthCompoundaGrowthb
HeterotrophiccFructose (10 mM)+
Glucose (10 mM)+
Lactate (10 mM)+
Pyruvate (10 mM)
Yeast extract (0.1%)+
AutotrophicdFe(II) oxidation+
Thiosulfate (20 mM)
Tetrathionate (10 mM)
Sulphur (0.5%)
a
pH range, 3 to 6. The pH optimum and minimum were determined in FeCO3 liquid with the pH adjusted to values of 2 to 8 in steps of 1 pH value. Heavy metal tolerance (+) was determined in FeCO3 liquid medium amended with a mixture of 10 mM Ni, 2.5 mM Cu, 2 mM Cd, 2 mM Co, and 22 mM Zn.
b
+, Growth of the compound; −, lack of growth.
c
Heterotrophic growth was assessed in medium containing, per liter, 20 ml of 50× basal salts solution (12) and 1 ml trace element solution (12), which was amended with an organic carbon compound.
d
Autotrophic growth with reduced sulfur compounds was determined in pH 5.5 medium containing, per liter, 20 ml of 50× basal salts solution (12), 1 ml trace element solution (12), and either thiosulfate, tetrathionate, or sulfur. All reduced sulfur compounds were added from sterile, anoxic stocks; sulfur was autoclaved and then dispensed using aseptic techniques.
For genome sequencing, FB-8 was grown to high cell density in lysogeny broth (LB) under oxic conditions. Biomass was harvested by centrifugation, frozen at −20°C, and shipped to the Deutsche Sammlung von Mikroorganismen und Zellkulturen (DSMZ; Braunschweig, Germany) for DNA extraction. DNA was extracted using the U.S. Department of Energy’s (DOE) Joint Genome Institute (JGI) cetyltrimethylammonium bromide (CTAB) procedure for isolating high-molecular-weight genomic DNA (gDNA) (http://my.jgi.doe.gov/index.html). gDNA was assessed for quality control using agarose gel electrophoresis to evaluate the quality and quantity, including molecular weight, of the extract according to the JGI protocol “Genomic DNA QC Using Standard Gel Electrophoresis” (http://my.jgi.doe.gov/index.html).
DNA extracts were sent to the JGI for genome sequencing using Illumina technology. An Illumina standard shotgun library and long-insert mate pair library were constructed and sequenced using the Illumina HiSeq 2000 platform, which yielded 19,057,432 and 55,056,510 sequence reads, respectively. Raw sequence data were passed through DUK (7), which removes known Illumina sequencing and library preparation artifacts. Default parameters were used for all software unless otherwise specified. Filtered Illumina reads were assembled using AllpathsLG version R37654 (PrepareAllpathsInputs: PHRED 64=1 PLOIDY=1 FRAG COVERAGE=125 JUMP COVERAGE=25; RunAllpathsLG: THREADS=8 RUN=std pairs TARGETS=standard VAPI WARN ONLY=True OVERWRITE=True) (8). The final assembly was based on 2,858.2 Mb of Illumina standard paired-end (PE) and 4,789.5 Mb of Illumina Cre-LoxP inverse PCR (CLIP) PE postfiltered data, which provided an average of 1,865.3× coverage. For postassembly quality control, we analyzed G+C histograms of contigs in conjunction with their taxonomic assignments as based on a BLASTP (9) search of the predicted genes. Further, we verified the 16S rRNA gene sequence in the FB-8 genome assembly.
The Bordetella sp. strain FB-8 genome contains 6 contigs (N50, 2.4 Mbp) in 2 scaffolds (N50, 4.1 Mbp) and constitutes a total of 4,079,718 bp with 63.35% G+C content. The FB-8 genome was annotated in the Integrated Microbial Genomes (IMG) database (10). One round of manual curation was performed using GenePRIMP (11). The genome of Bordetella sp. strain FB-8 contained 3,906 genes and 3,835 protein-coding genes. Functional annotation identified 3 copies of the 16S rRNA gene, 9 total rRNAs, 50 tRNAs, 12 other RNAs, and 138 pseudogenes.
The genus Bordetella contains mainly pathogens that infect different host organisms. Bordetella sp. strain FB-8 is unique because it is an environmental species that was isolated as an iron oxidizer. The genome of Bordetella sp. strain FB-8 may enable further analysis of the biomineralization in contaminated sites.

Data availability.

Bordetella sp. strain FB-8 is available from the DSMZ under accession number DSM 24873. The genome sequence of strain FB-8 is available from IMG under the genome ID 2522125081 and the NCBI database under accession numbers PRJNA187096 (BioProject) and SRP053466 (Sequence Read Archive).

ACKNOWLEDGMENTS

We thank Lynne Goodwin and Linda Meincke (JGI) for project management and Beatrice Trümper (DSMZ) for performing DNA extractions.
The work conducted by the U.S. Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy under contract number DE-AC02-05CH11231. A.L. was partially supported by the Russian Science Foundation (number 19-16-00049). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. government.
We declare no competing financial interest.

REFERENCES

1.
Carlsson E, Büchel G. 2005. Screening of residual contamination at a former uranium heap leaching site, Thuringia, Germany. Geochemistry 65:75–95.
2.
Burkhardt E-M, Meißner S, Merten D, Büchel G, Küsel K. 2009. Heavy metal retention and microbial activities in geochemical barriers formed in glacial sediments subjacent to a former uranium mining leaching heap. Geochemistry 69:21–34.
3.
Grawunder A, Lonschinski M, Merten D, Büchel G. 2009. Distribution and bonding of residual contamination in glacial sediments at the former uranium mining leaching heap of Gessen/Thuringia, Germany. Geochemistry 69:5–19.
4.
Fabisch M, Beulig F, Akob DM, Küsel K. 2013. Surprising abundance of Gallionella-related iron oxidizers in creek sediments at pH 4.4 or at high heavy metal concentrations. Front Microbiol 4:390.
5.
Fabisch M, Freyer G, Johnson CA, Büchel G, Akob DM, Neu TR, Küsel K. 2016. Dominance of “Gallionella capsiferriformans” and heavy metal association with Gallionella-like stalks in metal-rich pH 6 mine water discharge. Geobiology 14:68–90.
6.
Akob DM, Hallenbeck M, Beulig F, Fabisch M, Küsel K, Keffer JL, Woyke T, Shapiro N, Lapidus A, Klenk H-P, Chan CS. 2020. Mixotrophic iron-oxidizing Thiomonas isolates from an acid mine drainage-affected creek. Appl Environ Microbiol 86:e01424-20.
7.
Mingkun L, Copeland A, Han J. 2011. DUK: a fast and efficient Kmer based sequence matching tool. http://duk.sourceforge.net/.
8.
Gnerre S, MacCallum I, Przybylski D, Ribeiro FJ, Burton JN, Walker BJ, Sharpe T, Hall G, Shea TP, Sykes S, Berlin AM, Aird D, Costello M, Daza R, Williams L, Nicol R, Gnirke A, Nusbaum C, Lander ES, Jaffe DB. 2011. High-quality draft assemblies of mammalian genomes from massively parallel sequence data. Proc Natl Acad Sci U S A 108:1513–1518.
9.
Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. 2009. BLAST+: architecture and applications. BMC Bioinformatics 10:421.
10.
Chen IMA, Chu K, Palaniappan K, Pillay M, Ratner A, Huang JH, Huntemann M, Varghese N, White JR, Seshadri R, Smirnova T, Kirton E, Jungbluth SP, Woyke T, Eloe-Fadrosh EA, Ivanova NN, Kyrpides NC. 2019. IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes. Nucleic Acids Res 47:D666–D677.
11.
Pati A, Ivanova NN, Mikhailova N, Ovchinnikova G, Hooper SD, Lykidis A, Kyrpides NC. 2010. GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes. Nat Methods 7:455–457.
12.
Ňancucheo I, Rowe OF, Hedrich S, Johnson DB. 2016. Solid and liquid media for isolating and cultivating acidophilic and acid-tolerant sulfate-reducing bacteria. FEMS Microbiol Lett 363:fnw083.

Information & Contributors

Information

Published In

cover image Microbiology Resource Announcements
Microbiology Resource Announcements
Volume 10Number 148 April 2021
eLocator: 10.1128/mra.01035-19
Editor: J. Cameron Thrash, University of Southern California

History

Received: 22 August 2019
Accepted: 12 March 2021
Published online: 8 April 2021

Contributors

Authors

U.S. Geological Survey, Geology, Energy & Minerals Science Center, Reston, Virginia, USA
U.S. Geological Survey, Geology, Energy & Minerals Science Center, Reston, Virginia, USA
Maria Fabisch
Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
Felix Beulig
Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany
Present address: Felix Beulig, Department of Ecological Microbiology, University of Bayreuth, Bayreuth, Germany.
Joint Genome Institute, U.S. Department of Energy, Berkeley, California, USA
Nicole Shapiro
Joint Genome Institute, U.S. Department of Energy, Berkeley, California, USA
Alla Lapidus
Center for Algorithmic Biotechnology, St. Petersburg State University, St. Petersburg, Russia
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
Kirsten Küsel
Institute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany

Editor

J. Cameron Thrash
Editor
University of Southern California

Metrics & Citations

Metrics

Note: There is a 3- to 4-day delay in article usage, so article usage will not appear immediately after publication.

Citation counts come from the Crossref Cited by service.

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Figures and Media

Figures

Media

Tables

Share

Share

Share the article link

Share with email

Email a colleague

Share on social media

American Society for Microbiology ("ASM") is committed to maintaining your confidence and trust with respect to the information we collect from you on websites owned and operated by ASM ("ASM Web Sites") and other sources. This Privacy Policy sets forth the information we collect about you, how we use this information and the choices you have about how we use such information.
FIND OUT MORE about the privacy policy