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. 2019 Jan 31;8(5):e01656-18. doi: 10.1128/MRA.01656-18

Massive Diversity in Whole-Genome Sequences of Streptococcus suis Strains from Infected Pigs in Switzerland

Marc J A Stevens a, Nathalie Spoerry Serrano a,b, Nicole Cernela a, Sarah Schmitt b, Jacques Schrenzel c, Roger Stephan a,
Editor: Julie C Dunning Hotoppd
PMCID: PMC6357645  PMID: 30714039

Here we report the whole-genome sequences of 15 clinical Streptococcus suis strains isolated from pigs in Switzerland. Although they originated from the same host and geographic origin, the strains showed a large amount of diversity.

ABSTRACT

Here we report the whole-genome sequences of 15 clinical Streptococcus suis strains isolated from pigs in Switzerland. Although they originated from the same host and geographic origin, the strains showed a large amount of diversity.

ANNOUNCEMENT

Streptococcus suis is a Gram-positive, facultative, anaerobic bacterium that is mainly found in the nasal mucosa and the tonsils of healthy pigs. Under predisposing circumstances, like inadequate sanitation or reduced immunity, S. suis can cause various diseases such as meningitis, septicemia, arthritis, pneumonia, and endocarditis (1). Besides being an important pig pathogen causing major economic losses, S. suis is considered a relevant zoonotic agent, especially in China and Southeast Asia (13). Currently, there are 29 described S. suis serotypes. Worldwide, serotype 2 is the most common reported serotype to cause infections in pigs, followed by serotypes 9 and 3 (1). In humans, the most frequently identified serotypes are serotype 2, followed by serotype 14 (1).

We have sequenced 15 clinical S. suis strains (Table 1). The strains were originally isolated between 2006 and 2018 by streaking pig samples onto Columbia agar with sheep blood (Thermo Fisher Diagnostics AG, Pratteln, Switzerland). The plates were incubated at 37°C for 48 hours under aerobic conditions. Strains were identified by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) (Biotyper Compass Explorer software v.4.1.60, Bruker Daltonics, Bremen, Germany) and serotyped by multiplex PCR according to Kerdsin et al. (4).

TABLE 1.

Overview of strains

Strain Serotype Yr Source GenBank accession no. SRA accession no. No. of contigs Genome size (bp) N50 GC content (%)
PP203 9 2015 Blood from heart RSDR00000000 SRR8290481 27 2,127,065 6 41.4
PP269 1 or 14 2015 Blood from heart RSDQ00000000 SRR8290480 63 1,968,146 12 41.3
PP386 6 2016 Blood from heart RSDP00000000 SRR8290479 53 1,878,848 12 41.5
PP422 9 2016 Lung RSDO00000000 SRR8290478 48 2,075,657 8 43.7
PP423 2 or 1/2 2016 Blood from heart RSDN00000000 SRR8290477 51 2,068,343 8 41.2
PP425 6 2016 Brain RSDM00000000 SRR8290476 54 1,881,239 11 41.5
PP463 2 or 1/2 2016 Blood from heart RSDL00000000 SRR8290475 52 2,135,450 9 41.1
PP464 NDa 2016 Lung RSDK00000000 SRR8290474 94 2,340,449 15 41.5
PP536 9 2016 Heart RSDJ00000000 SRR8290473 24 2,122,156 4 41.4
PP730 1 or 14 2018 Joint RSDI00000000 SRR8290472 58 1,912,461 11 41.4
PP735 1 or 14 2018 Joint RSDH00000000 SRR8290484 59 1,912,627 11 41.4
SS1014 ND 2010 Kidney RSDG00000000 SRR8290483 208 2,504,491 37 41.2
SS29 6 2006 No information RSDF00000000 SRR8290486 49 1,894,451 11 41.5
SS470 2 or 1/2 2007 Heart RSDE00000000 SRR8290485 49 2,079,888 8 41.1
SS8 6 2006 No information RSDD00000000 SRR8290482 48 1,893,520 11 41.5
a

ND, not determined.

Genomic DNA was extracted using a DNA blood and tissue kit (Qiagen, Hombrechtikon, Switzerland) and prepared for sequencing with a Nextera DNA Flex sample preparation kit (Illumina, San Diego, CA, USA) on an Illumina MiniSeq sequencer with 150-bp paired-end reads.

The sequencing resulted in an output of paired-end read sets containing 596,559 to 1,666,705 reads of 150 bp. The quality of the reads was checked using FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). The reads passed all quality steps with the exception of the control step “per-base sequence content.” Failure to pass this step, however, is typical for transposon-based libraries (FastQC manual [see https://www.bioinformatics.babraham.ac.uk/projects/fastqc/]) and was ignored. Reads were assembled de novo using Spades 3.12 (5) with activation of the “–careful” option. Raw assemblies were filtered for size larger than 1,000 bp and coverage of more than 25-fold.

The final assemblies resulted in 13 genomes with a size between 1,878,848 and 2,135,450 bp and coverages between 50- and 120-fold (Table 1). The genomes consisted of 24 to 64 contigs per strain, and the largest contigs were 129 to 333 kbp. Strains SS1014 and PP464 had large genomes of 2,340,449 and 2,504,491 bp, with coverages of 50- and 39-fold, respectively. The SS1014 and PP464 genomes consisted of 204 and 94 contigs, the largest of which were 76 kb and 174 kb, respectively.

The average nucleotide identity (ANI) of the strains was calculated according to Richter et al. (6) using PyANI (https://github.com/widdowquinn/pyani). The ANI of strain PP422 was only 88 to 89% compared to the other strains in this study, thus showing a high genomic diversity which was already observed previously in this species (7). The other strains had an ANI of at least 94.6%, which is below the ANI cutoff for species differentiation of 95 to 96% (6), confirming again the diversity of the species S. suis.

Our results highlight the massive diversity within the pathogenic species S. suis, even between strains from the same host and region. Since the breeding of pigs is quite consolidated in Switzerland, this opens up possibilities for strain tracing in case of human disease outbreaks.

Data availability.

All these sequences have been published in GenBank under SRA accession no. SRR8290481 (PP203), SRR8290480 (PP269), SRR8290479 (PP386), SRR8290478 (PP422), SRR8290477 (PP423), SRR8290476 (PP425), SRR8290475 (PP463), SRR8290474 (PP464), SRR8290473 (PP536), SRR8290472 (PP730), SRR8290484 (PP735), SRR8290483 (SS1014), SRR8290486 (SS29), SRR8290485 (SS470), and SRR8290482 (SS8). All these sequences have also been published in GenBank under the genome accession no. RSDR00000000 (PP203), RSDQ00000000 (PP269), RSDP00000000 (PP386), RSDO00000000 (PP422), RSDN00000000 (PP423), RSDM00000000 (PP425), RSDL00000000 (PP463), RSDK00000000 (PP464), RSDJ00000000 (PP536), RSDI00000000 (PP730), RSDH00000000 (PP735), RSDG00000000 (SS1014), RSDF00000000 (SS29), RSDE00000000 (SS470), and RSDD00000000 (SS8).

ACKNOWLEDGMENT

This work was supported by funding from the University of Zurich.

REFERENCES

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Associated Data

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

Data Availability Statement

All these sequences have been published in GenBank under SRA accession no. SRR8290481 (PP203), SRR8290480 (PP269), SRR8290479 (PP386), SRR8290478 (PP422), SRR8290477 (PP423), SRR8290476 (PP425), SRR8290475 (PP463), SRR8290474 (PP464), SRR8290473 (PP536), SRR8290472 (PP730), SRR8290484 (PP735), SRR8290483 (SS1014), SRR8290486 (SS29), SRR8290485 (SS470), and SRR8290482 (SS8). All these sequences have also been published in GenBank under the genome accession no. RSDR00000000 (PP203), RSDQ00000000 (PP269), RSDP00000000 (PP386), RSDO00000000 (PP422), RSDN00000000 (PP423), RSDM00000000 (PP425), RSDL00000000 (PP463), RSDK00000000 (PP464), RSDJ00000000 (PP536), RSDI00000000 (PP730), RSDH00000000 (PP735), RSDG00000000 (SS1014), RSDF00000000 (SS29), RSDE00000000 (SS470), and RSDD00000000 (SS8).


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