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. 2021 Jan 28;10(4):e01226-20. doi: 10.1128/MRA.01226-20

Whole-Genome Assemblies of 16 Burkholderia pseudomallei Isolates from Rivers in Laos

Nicole Liechti a,b,✉,#, Rosalie E Zimmermann c,d,e,✉,#, Jakob Zopfi d, Matthew T Robinson c,f, Alain Pierret h, Olivier Ribolzi i, Sayaphet Rattanavong c, Viengmon Davong c, Paul N Newton c,f, Matthias Wittwer a, David A B Dance c,f,g
Editor: David Raskoj
PMCID: PMC7844071  PMID: 33509986

We report 16 Burkholderia pseudomallei genomes, including 5 new multilocus sequence types, isolated from rivers in Laos. The environmental bacterium B. pseudomallei causes melioidosis, a serious infectious disease in tropical and subtropical regions. The isolates are geographically clustered in one clade from around Vientiane, Laos, and one clade from further south.

ABSTRACT

We report 16 Burkholderia pseudomallei genomes, including 5 new multilocus sequence types, isolated from rivers in Laos. The environmental bacterium B. pseudomallei causes melioidosis, a serious infectious disease in tropical and subtropical regions. The isolates are geographically clustered in one clade from around Vientiane, Laos, and one clade from further south.

ANNOUNCEMENT

Burkholderia pseudomallei causes the human infectious disease melioidosis and is found in tropical and subtropical soils and freshwater (1). Survival and replication in various ecological niches and within hosts is possibly enabled by the large and highly variable accessory genome of B. pseudomallei (2, 3). Genome descriptions of B. pseudomallei isolates contribute to research on links between environment-associated and disease-associated genes of B. pseudomallei and their functions (3, 4).

We sequenced the genomes of 16 B. pseudomallei isolates from 14 filtered water samples and two sediment samples from rivers in Laos, cultured and confirmed as previously described (5). After storage at −80°C and pure culture on nutrient agar in air at 37°C for 24 h, genomic DNA was extracted using the Qiagen DNeasy blood and tissue kit and submitted to Microsynth AG (Balgach, Switzerland) for Nextera XT library preparation and sequencing using an Illumina NextSeq 500 instrument (paired-end [PE], 150-bp reads). Reads were quality trimmed using Trimmomatic 0.36 (slidingwindow:4: 8, minlen:127) (6) and assembled using SPAdes 3.11.1 (-careful, -mismatch-correction, -k 21, 33, 55, 77, 99, 127 bp) (7). Pilon 1.22 (8) was applied to improve the quality of the draft assemblies. Scaffolds of <200 bp or with low coverage were removed. Finally, contaminants were removed manually using a BLAST search against the NCBI nucleotide database. The quality and completeness of the de novo-assembled genomes were accessed using BUSCO 3.0.1 (lineage, Betaprotebacteria odb9) (9), and basic assembly statistics were compared using QUAST 4.6.3 (10). The genomes were annotated automatically using the NCBI Prokaryotic Annotation Pipeline 4.11 (11). Default settings were used for all software unless otherwise specified. A summary of the assembly results is provided in Table 1. The 16 isolates were found to belong to 6 different sequence types using the multilocus sequence typing pipeline (12, 13), 5 of which were new. Sequence type 54 (ST54) (two isolates) was previously described and is common in neighboring Thailand (14). To unravel the phylogenetic relationship of the isolates, we first constructed a core single nucleotide polymorphism genome alignment using Snippy 4.4.3 with B. pseudomallei MSHR4503 (15) as the reference. Then, we built a maximum likelihood tree using RAxML 8.2.11 (16) with a general time-reversible nucleotide substitution model including 1,000 bootstraps (Fig. 1). The six main branches of the tree correspond to the sequence types and are geographically clustered in two different clades. One clade includes isolates from or around Vientiane, Laos (city and province), whereas the other consists of isolates from further south. The sediment isolate from Xe Bangnouan, Laos, is more closely related to the sediment isolate from the Mekong River than to the corresponding water isolate (Fig. 1). However, with relatively few samples taken at one point in time from rivers with large catchment areas, the interpretation of these clusters remains speculative. It is hoped that sequencing more isolates of B. pseudomallei from Laos will improve our understanding of the phylogeography of the organism within the country and enable comparisons to be made between clinical and environmental isolates.

TABLE 1.

Characteristics and accession numbers of the genomes of 16 B. pseudomallei isolates from rivers in Laos

Isolatea Rivera Latitudea Longitudea Raw read SRA no. GenBank assembly accession no. Sequence type No. of contigs Assembly length (Mbp) GC content (%) N50 (kbp) No. of paired reads (million) Genome coverage (×)
40S_S61 Mekong 15.11316 105.80506 SRR11097786 GCA_014713055.1 ST1787 186 7.15 68.19 119.6 4.8 203
43W_S62 Xe Bangnouan 16.00286 105.47903 SRR11097785 GCA_014713065.1 ST1801 205 7.17 68.14 107.1 4.7 183
43S_S63 Xe Bangnouan 16.00286 105.47903 SRR11097778 GCA_014713085.1 ST1787 176 7.15 68.19 128.2 4.4 195
44W_S64 Mekong 16.00421 105.42515 SRR11097777 GCA_014713025.1 ST1801 191 7.17 68.14 123.3 5.5 231
45W_S65 Xe Banghieng 16.09798 105.37699 SRR11097776 GCA_014713015.1 ST1815 184 7.15 68.15 126.5 4.6 194
46W_S66 Mekong 17.39898 104.80098 SRR11097774 GCA_014712945.1 ST1815 188 7.15 68.14 132.9 5.3 219
47W_S67 Xe Bangfai 17.07787 104.98503 SRR11097775 GCA_014712955.1 ST1801 209 7.17 68.15 119.7 5.3 221
49W_S68 Nam Kading 18.32559 104.00002 SRR11097773 GCA_014712965.1 ST1801 193 7.17 68.14 127.8 5.3 223
50W_S69 Nam Xan 18.39103 103.65572 SRR11097772 GCA_014712935.1 ST1852 192 7.24 68.1 138.5 5.0 208
51W_S70 Nam Gniep 18.41756 103.60212 SRR11097771 GCA_014712915.1 ST1852 222 7.25 68.26 110.8 4.9 201
52W_S71 Nam Mang 18.37017 103.19838 SRR11097784 GCA_014712835.1 ST54 168 7.04 68.09 134.4 5 213
53W_S72 Nam Ngum 18.17874 103.05594 SRR11097783 GCA_014712895.1 ST54 182 7.04 68.27 126.7 4.4 188
58W_S73 Nam Ngum 18.20194 102.58669 SRR11097782 GCA_014712875.1 ST1852 184 7.25 68.1 120.9 4.7 195
60W_S74 Nam Sang 18.22297 102.14228 SRR11097781 GCA_014712825.1 ST1852 186 7.24 68.11 123 4.6 189
64W_S75 Mekong 17.97309 102.50404 SRR11097780 GCA_014712815.1 ST1869 212 7.3 68.1 97.6 4.8 197
91W_S76 Nam Ngum 18.3555 102.57198 SRR11097779 GCA_014712775.1 ST1869 194 7.21 68.11 87.9 4.1 171
a

Data from reference 5.

FIG 1.

FIG 1

Maximum likelihood phylogeny and geographic locations of 16 environmental B. pseudomallei isolates. Clusters of isolates are displayed in different colors and correspond to sequence types (ST); circles represent water isolates, and squares represent sediment isolates. B. pseudomallei strain MSHR4503 from northern Australia (15) was used as the reference. The tree scale indicates changes per nucleotide; bootstrap values were calculated from 1,000 bootstrap replicates and are reported as percentages. The phylogenetic tree was visualized using Microreact (17), and the map was adapted from reference 5.

Data availability.

Illumina raw reads and genome assemblies were deposited at the NCBI and DDBJ/ENA/GenBank, respectively. The accession numbers are listed in Table 1. The isolates are linked to the respective sequence types on the PubMLST database.

ACKNOWLEDGMENTS

We are very grateful to the director and staff of the Microbiology Laboratory, Mahosot Hospital, to Bounthaphany Bounxouei, past director of Mahosot Hospital, to Bounnack Saysanasongkham, past director of the Department of Health Care, Ministry of Health, and to H. E. Bounkong Syhavong, Minister of Health, Lao PDR.

The project was funded by the U.S. Defense Threat Reduction Agency Cooperative Biological Engagement Program (contract HDTRA-16-C-0017).

REFERENCES

  • 1.Wiersinga WJ, Virk HS, Torres AG, Currie BJ, Peacock SJ, Dance DAB, Limmathurotsakul D. 2018. Melioidosis. Nat Rev Dis Primers 4:17107. doi: 10.1038/nrdp.2017.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Holden MTG, Titball RW, Peacock SJ, Cerdeño-Tárraga AM, Atkins T, Crossman LC, Pitt T, Churcher C, Mungall K, Bentley SD, Sebaihia M, Thomson NR, Bason N, Beacham IR, Brooks K, Brown KA, Brown NF, Challis GL, Cherevach I, Chillingworth T, Cronin A, Crossett B, Davis P, DeShazer D, Feltwell T, Fraser A, Hance Z, Hauser H, Holroyd S, Jagels K, Keith KE, Maddison M, Moule S, Price C, Quail MA, Rabbinowitsch E, Rutherford K, Sanders M, Simmonds M, Songsivilai S, Stevens K, Tumapa S, Vesaratchavest M, Whitehead S, Yeats C, Barrell BG, Oyston PCF, Parkhill J. 2004. Genomic plasticity of the causative agent of melioidosis, Burkholderia pseudomallei. Proc Natl Acad Sci U S A 101:14240–14245. doi: 10.1073/pnas.0403302101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chewapreecha C, Mather AE, Harris SR, Hunt M, Holden MTG, Chaichana C, Wuthiekanun V, Dougan G, Day NPJ, Limmathurotsakul D, Parkhill J, Peacock SJ. 2019. Genetic variation associated with infection and the environment in the accidental pathogen Burkholderia pseudomallei. Commun Biol 2:428. doi: 10.1038/s42003-019-0678-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rachlin A, Mayo M, Webb JR, Kleinecke M, Rigas V, Harrington G, Currie BJ, Kaestli M. 2020. Whole-genome sequencing of Burkholderia pseudomallei from an urban melioidosis hot spot reveals a fine-scale population structure and localised spatial clustering in the environment. Sci Rep 10:5443. doi: 10.1038/s41598-020-62300-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Zimmermann RE, Ribolzi O, Pierret A, Rattanavong S, Robinson MT, Newton PN, Davong V, Auda Y, Zopfi J, Dance DAB. 2018. Rivers as carriers and potential sentinels for Burkholderia pseudomallei in Laos. Sci Rep 8:8674. doi: 10.1038/s41598-018-26684-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.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]
  • 7.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]
  • 8.Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A, Sakthikumar S, Cuomo CA, Zeng Q, Wortman J, Young SK, Earl AM. 2014. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 9:e112963. doi: 10.1371/journal.pone.0112963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Simão FA, Waterhouse RM, Ioannidis P, Kriventseva EV, Zdobnov EM. 2015. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31:3210–3212. doi: 10.1093/bioinformatics/btv351. [DOI] [PubMed] [Google Scholar]
  • 10.Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi: 10.1093/bioinformatics/btt086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI Prokaryotic Genome Annotation Pipeline. Nucleic Acids Res 44:6614–6624. doi: 10.1093/nar/gkw569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jolley KA, Bray JE, Maiden MCJ. 2018. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res 3:124. doi: 10.12688/wellcomeopenres.14826.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Seemann T. mlst. https://github.com/tseemann/mlst.
  • 14.Vesaratchavest M, Tumapa S, Day NPJ, Wuthiekanun V, Chierakul W, Holden MTG, White NJ, Currie BJ, Spratt BG, Feil EJ, Peacock SJ. 2006. Nonrandom distribution of Burkholderia pseudomallei clones in relation to geographical location and virulence. J Clin Microbiol 44:2553–2557. doi: 10.1128/JCM.00629-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Johnson SL, Baker AL, Chain PS, Currie BJ, Daligault HE, Davenport KW, Davis CB, Inglis TJ, Kaestli M, Koren S, Mayo M, Merritt AJ, Price EP, Sarovich DS, Warner J, Rosovitz MJ. 2015. Whole-genome sequences of 80 environmental and clinical isolates of Burkholderia pseudomallei. Genome Announc 3:e01282-14. doi: 10.1128/genomeA.01282-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Stamatakis A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312–1313. doi: 10.1093/bioinformatics/btu033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Argimón S, Abudahab K, Goater RJE, Fedosejev A, Bhai J, Glasner C, Feil EJ, Holden MTG, Yeats CA, Grundmann H, Spratt BG, Aanensen DM. 2016. Microreact: visualizing and sharing data for genomic epidemiology and phylogeography. Microb Genom 2:e01282-14. doi: 10.1099/mgen.0.000093. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

Illumina raw reads and genome assemblies were deposited at the NCBI and DDBJ/ENA/GenBank, respectively. The accession numbers are listed in Table 1. The isolates are linked to the respective sequence types on the PubMLST database.


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