Evidence map›Paper›PMID 27449127›Full record

ArticleBMC microbiology2016

Determining Streptococcus suis serotype from short-read whole-genome sequencing data.

Taryn B T Athey, Sarah Teatero, Sonia Lacouture, Daisuke Takamatsu, Marcelo Gottschalk, Nahuel Fittipaldi

Abstract read
In one paragraph

Article in BMC microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Genomics of Irish swine-derivedMicrobial genomics · 2026
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  11. Review
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  16. Genomic analysis and virulence of human Streptococcus suis serotype 14.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  17. Microorganisms · 2025
    Article
  18. Isolation of phages infecting the zoonotic pathogenbioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Taryn B T AtheyPublic Health Ontario Toronto Laboratory, 661 University Avenue, Toronto, ON, M5G 1M1 Canada.
Sarah TeateroPublic Health Ontario Toronto Laboratory, 661 University Avenue, Toronto, ON, M5G 1M1 Canada.
Sonia LacoutureGroupe de Recherche sur les Maladies Infectieuses du Porc, Faculty of Veterinary Medicine, University of Montreal, St-Hyacinthe, QC, Canada.
Daisuke TakamatsuBacterial and Parasitic Diseases Research Division, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba, Japan.
Marcelo GottschalkGroupe de Recherche sur les Maladies Infectieuses du Porc, Faculty of Veterinary Medicine, University of Montreal, St-Hyacinthe, QC, Canada.
Nahuel FittipaldiPublic Health Ontario Toronto Laboratory, 661 University Avenue, Toronto, ON, M5G 1M1 Canada. nahuel.fittipaldi@oahpp.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStreptococcus suis is divided into 29 serotypes based on a serological reaction against the capsular polysaccharide (CPS). Multiplex PCR tests targeting the cps locus are also used to determine S. suis serotypes, but they cannot differentiate between serotypes 1 and 14, and between serotypes 2 and 1/2. Here, we developed a pipeline permitting in silico serotype determination from whole-genome sequencing (WGS) short-read data that can readily identify all 29 S. suis serotypes.

resultsWe sequenced the genomes of 121 strains representing all 29 known S. suis serotypes. We next combined available software into an automated pipeline permitting in silico serotyping of strains by differential alignment of short-read sequencing data to a custom S. suis cps loci database. Strains of serotype pairs 1 and 14, and 2 and 1/2 could be differentiated by a missense mutation in the cpsK gene. We report a 99 % match between coagglutination- and pipeline-determined serotypes for strains in our collection. We used 375 additional S. suis genomes downloaded from the NCBI's Sequence Read Archive (SRA) to validate the pipeline. Validation with SRA WGS data resulted in a 92 % match. Included pipeline subroutines permitted us to assess strain virulence marker content and obtain multilocus sequence typing directly from WGS data.

conclusionsOur pipeline permits rapid and accurate determination of S. suis serotype, and other lineage information, directly from WGS data. By discriminating between serotypes 1 and 14, and between serotypes 2 and 1/2, our approach solves a three-decade longstanding S. suis typing issue.

Indexed as

SerogroupSerotypingBacterial CapsulesBacterial ProteinsBase SequenceDNA, BacterialGenes, BacterialGene TargetingGenetic LociGenome, BacterialMultiplex Polymerase Chain ReactionPolysaccharides, BacterialSequence AlignmentSequence Analysis, DNAStreptococcus suisVirulenceBacterial ProteinsDNA, BacterialPolysaccharides, BacterialVirulence FactorsSerotypingShort-readsStreptococcus suisWhole-genome sequencing

Identifiers

PMID27449127
PMCPMC4957933

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.