Evidence map›Paper›PMID 32293244›Full record

ArticleBMC genomics2020

Exploring the success of Brazilian endemic clone Pseudomonas aeruginosa ST277 and its association with the CRISPR-Cas system type I-C.

Melise Chaves Silveira, Cláudio Marcos Rocha-de-Souza, Rodolpho Mattos Albano, Ivson Cassiano de Oliveira Santos, Ana Paula D'Alincourt Carvalho-Assef

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Global epidemiology of carbapenem-resistantJAC-antimicrobial resistance · 2026
    Review
  2. Article
  3. The fitness connection of antibiotic resistance.Frontiers in microbiology · 2025
    Article
  4. Molecular Epidemiology ofAntibiotics (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. CRISPR Element Patterns vs. Pathoadaptability of ClinicalAntibiotics (Basel, Switzerland) · 2021
    Article
  11. Review
  12. Genomic Analysis of Carbapenem-ResistantFrontiers in microbiology · 2021
    Article
  13. Article
  14. 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

5 authors at 2 institutions in 1 country.

Melise Chaves SilveiraLaboratório de Pesquisa em Infecção Hospitalar, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil 4365, Manguinhos, Rio de Janeiro, Rio de Janeiro, 21040-360, Brazil.
Cláudio Marcos Rocha-de-SouzaLaboratório de Pesquisa em Infecção Hospitalar, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil 4365, Manguinhos, Rio de Janeiro, Rio de Janeiro, 21040-360, Brazil.
Rodolpho Mattos AlbanoDepartamento de Bioquímica, Universidade do Estado do Rio de Janeiro, Boulevard Vinte e Oito de Setembro, 87, fundos, andar 4, Vila Isabel, Rio de Janeiro, Rio de Janeiro, 20551-030, Brazil.
Ivson Cassiano de Oliveira SantosLaboratório de Pesquisa em Infecção Hospitalar, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil 4365, Manguinhos, Rio de Janeiro, Rio de Janeiro, 21040-360, Brazil.
Ana Paula D'Alincourt Carvalho-AssefLaboratório de Pesquisa em Infecção Hospitalar, Oswaldo Cruz Institute, Fiocruz, Avenida Brasil 4365, Manguinhos, Rio de Janeiro, Rio de Janeiro, 21040-360, Brazil. anapdca@ioc.fiocruz.br.ORCID http://orcid.org/0000-0001-7044-4596
Fundação Oswaldo Cruz · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Brazilian endemic clone Pseudomonas aeruginosa ST277 carries important antibiotic resistance determinants, highlighting the gene coding for SPM-1 carbapenemase. However, the resistance and persistence of this clone is apparently restricted to the Brazilian territory. To understand the differences between Brazilian strains from those isolated in other countries, we performed a phylogenetic analysis of 47 P. aeruginosa ST277 genomes as well as analyzed the virulence and resistance gene profiles. Furthermore, we evaluated the distribution of genomic islands and assessed in detail the characteristics of the CRISPR-Cas immunity system in these isolates.

resultsThe Brazilian genomes presented a typical set of resistance and virulence determinants, genomic islands and a high frequency of the CRISPR-Cas system type I-C. Even though the ST277 genomes are closely related, the phylogenetic analysis showed that the Brazilian strains share a great number of exclusively SNPs when compared to other ST277 genomes. We also observed a standard CRISPR spacers content for P. aeruginosa ST277, confirming a strong link between sequence type and spacer acquisition. Most CRISPR spacer targets were phage sequences.

conclusionsBased on our findings, P. aeruginosa ST277 strains circulating in Brazil characteristically acquired In163 and PAGI-25, which can distinguish them from strains that do not accumulate resistance mechanisms and can be found on the Asian, European and North American continents. The distinctive genetic elements accumulated in Brazilian samples can contribute to the resistance, pathogenicity and transmission success that characterize the ST277 in this country.

Indexed as

Bacterial Proteinsbeta-LactamasesBrazilClone CellsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDrug Resistance, MicrobialGenome, BacterialGenomic IslandsHumansPhylogenyPolymorphism, Single NucleotidePseudomonas aeruginosaPseudomonas InfectionsBacterial Proteinsbeta-LactamasescarbapenemaseComparative genomicsCRISPRPseudomonas aeruginosaST277

Identifiers

PMID32293244
PMCPMC7092672
OpenAlexW3023877316

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.