Evidence map›Paper›PMID 23244770›Full record

ArticleBMC microbiology2012

Genome characterization and population genetic structure of the zoonotic pathogen, Streptococcus canis.

Vincent P Richards, Ruth N Zadoks, Paulina D Pavinski Bitar, Tristan Lefébure, Ping Lang, Brenda Werner, Linda Tikofsky, Paolo Moroni, Michael J Stanhope

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

23 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Subclinical Mastitis Related toVeterinary sciences · 2025
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  4. Genomic analysis ofFrontiers in veterinary science · 2025
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  6. Multiple Drug ResistantAntibiotics (Basel, Switzerland) · 2024
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  7. Bacteriophage Therapy to Control Bovine Mastitis: A Review.Antibiotics (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Microbial genomics · 2023
    Article
  10. An Outbreak of Subclinical Mastitis in a Dairy Herd Caused by a NovelAnimals : an open access journal from MDPI · 2021
    Article
  11. Review
  12. Article
  13. New Insights onFrontiers in microbiology · 2021
    Article
  14. International journal of genomics · 2020
    Article
  15. Review
  16. Frontiers in microbiology · 2019
    Article
  17. Article
  18. Antimicrobial Resistance inMicrobiology spectrum · 2018
    Review
  19. Draft Genome Sequence ofGenome announcements · 2018
    Article
  20. Article
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

9 authors at 4 institutions in 4 countries.

Vincent P RichardsDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA.
Ruth N Zadoks
Paulina D Pavinski Bitar
Tristan Lefébure
Ping Lang
Brenda Werner
Linda Tikofsky
Paolo Moroni
Michael J Stanhope
Cornell University · USNew York State College of Veterinary Medicine · USCentre National de la Recherche Scientifique · FRUniversity of Milan · IT

Funding

Evolutionary genomics and population genetics of pathogenic streptococciR01AI073368 · NIAID · CORNELL UNIVERSITY · PI STANHOPE, MICHAEL J · 2008 to 2012
$2.3M
NIAID NIH HHS AI073368
6 · The paper itself

Abstract

backgroundStreptococcus canis is an important opportunistic pathogen of dogs and cats that can also infect a wide range of additional mammals including cows where it can cause mastitis. It is also an emerging human pathogen.

resultsHere we provide characterization of the first genome sequence for this species, strain FSL S3-227 (milk isolate from a cow with an intra-mammary infection). A diverse array of putative virulence factors was encoded by the S. canis FSL S3-227 genome. Approximately 75% of these gene sequences were homologous to known Streptococcal virulence factors involved in invasion, evasion, and colonization. Present in the genome are multiple potentially mobile genetic elements (MGEs) [plasmid, phage, integrative conjugative element (ICE)] and comparison to other species provided convincing evidence for lateral gene transfer (LGT) between S. canis and two additional bovine mastitis causing pathogens (Streptococcus agalactiae, and Streptococcus dysgalactiae subsp. dysgalactiae), with this transfer possibly contributing to host adaptation. Population structure among isolates obtained from Europe and USA [bovine = 56, canine = 26, and feline = 1] was explored. Ribotyping of all isolates and multi locus sequence typing (MLST) of a subset of the isolates (n = 45) detected significant differentiation between bovine and canine isolates (Fisher exact test: P = 0.0000 [ribotypes], P = 0.0030 [sequence types]), suggesting possible host adaptation of some genotypes. Concurrently, the ancestral clonal complex (54% of isolates) occurred in many tissue types, all hosts, and all geographic locations suggesting the possibility of a wide and diverse niche.

conclusionThis study provides evidence highlighting the importance of LGT in the evolution of the bacteria S. canis, specifically, its possible role in host adaptation and acquisition of virulence factors. Furthermore, recent LGT detected between S. canis and human bacteria (Streptococcus urinalis) is cause for concern, as it highlights the possibility for continued acquisition of human virulence factors for this emerging zoonotic pathogen.

Indexed as

Genome, BacterialSequence Analysis, DNAAnimalsCattleComputational BiologyDNA, BacterialEvolution, MolecularInterspersed Repetitive SequencesMilkMolecular Sequence DataPhylogenyStreptococcusVirulence FactorsDNA, BacterialVirulence Factors

Identifiers

PMID23244770
PMCPMC3541175
OpenAlexW2140268835

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.