Evidence map›Paper›PMID 29051505›Full record

ArticleScientific reports2017

Large-scale genomic analyses reveal the population structure and evolutionary trends of Streptococcus agalactiae strains in Brazilian fish farms.

Gustavo M Barony, Guilherme C Tavares, Felipe L Pereira, Alex F Carvalho, Fernanda A Dorella, Carlos A G Leal, Henrique C P Figueiredo

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Pathogens (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Susceptibility of Tambaqui (Microorganisms · 2024
    Article
  7. Microorganisms · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frontiers in genetics · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Transcriptome and Proteome of Fish-PathogenicFrontiers in microbiology · 2018
    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

7 authors.

Gustavo M BaronyNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Guilherme C TavaresNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-2735-2562
Felipe L PereiraNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Alex F CarvalhoNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Fernanda A DorellaNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Carlos A G LealNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Henrique C P FigueiredoNational Reference Laboratory for Aquatic Animal Diseases (AQUACEN) of Ministry of Agriculture, Livestock and Food Supply, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. figueiredoh@yahoo.com.ORCID 0000-0002-1022-6842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Streptococcus agalactiae is a major pathogen and a hindrance on tilapia farming worldwide. The aims of this work were to analyze the genomic evolution of Brazilian strains of S. agalactiae and to establish spatial and temporal relations between strains isolated from different outbreaks of streptococcosis. A total of 39 strains were obtained from outbreaks and their whole genomes were sequenced and annotated for comparative analysis of multilocus sequence typing, genomic similarity and whole genome multilocus sequence typing (wgMLST). The Brazilian strains presented two sequence types, including a newly described ST, and a non-typeable lineage. The use of wgMLST could differentiate each strain in a single clone and was used to establish temporal and geographical correlations among strains. Bayesian phylogenomic analysis suggests that the studied Brazilian population was co-introduced in the country with their host, approximately 60 years ago. Brazilian strains of S. agalactiae were shown to be heterogeneous in their genome sequences and were distributed in different regions of the country according to their genotype, which allowed the use of wgMLST analysis to track each outbreak event individually.

Indexed as

Genome, BacterialAnimalsBayes TheoremBrazilDNAEvolution, MolecularFish DiseasesFisheriesGenotypeMultilocus Sequence TypingPhylogenySerogroupStreptococcal InfectionsStreptococcus agalactiaeDNA

Identifiers

PMID29051505
PMCPMC5648781

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.