Evidence map›Paper›PMID 31749118›Full record

ArticleMolecular biology reports2020

Campylobacter jejuni isolated from poultry meat in Brazil: in silico analysis and genomic features of two strains with different phenotypes of antimicrobial susceptibility.

Simone de Fátima Rauber Würfel, Sérgio Jorge, Natasha Rodrigues de Oliveira, Frederico Schmitt Kremer, Christian Domingues Sanchez, Vinícius Farias Campos, Luciano da Silva Pinto, Wladimir Padilha da Silva, Odir Antônio Dellagostin

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Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Insights on the genomic diversity, virulence and resistance profile of a Campylobacter jejuni strain isolated from a hospitalized patient in Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  4. Article
  5. Antibiotic Resistance inAntibiotics (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Whole genome characterization of thermophilicFrontiers in microbiology · 2023
    Article
  8. The Distribution ofGenes · 2021
    Article
  9. Distribution of CRISPR Types in Fluoroquinolone-ResistantPathogens (Basel, Switzerland) · 2021
    Article
  10. 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 1 institution in 1 country.

Simone de Fátima Rauber WürfelCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Sérgio JorgeCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil. sergiojorgevet@hotmail.com.ORCID http://orcid.org/0000-0002-6391-6740
Natasha Rodrigues de OliveiraCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Frederico Schmitt KremerCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Christian Domingues SanchezCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Vinícius Farias CamposCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Luciano da Silva PintoCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Wladimir Padilha da SilvaDepartamento de Ciência e Tecnologia Agroindustrial, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Odir Antônio DellagostinCentro de Desenvolvimento Tecnológico, Núcleo de Biotecnologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Universidade Federal de Pelotas · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 0Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul 0
6 · The paper itself

Abstract

Campylobacter jejuni is the most common bacterial cause of foodborne diarrheal disease worldwide and is among the antimicrobial resistant "priority pathogens" that pose greatest threat to public health. The genomes of two C. jejuni isolated from poultry meat sold on the retail market in Southern Brazil phenotypically characterized as multidrug-resistant (CJ100) and susceptible (CJ104) were sequenced and analyzed by bioinformatic tools. The isolates CJ100 and CJ104 showed distinct multilocus sequence types (MLST). Comparative genomic analysis revealed a large number of single nucleotide polymorphisms, rearrangements, and inversions in both genomes, in addition to virulence factors, genomic islands, prophage sequences, and insertion sequences. A circular 103-kilobase megaplasmid carrying virulence factors was identified in the genome of CJ100, in addition to resistance mechanisms to aminoglycosides, beta-lactams, macrolides, quinolones, and tetracyclines. The molecular characterization of distinct phenotypes of foodborne C. jejuni and the discovery of a novel virulence megaplasmid provide useful data for pan-genome and large-scale studies to monitor the virulent C. jejuni in poultry meat is warranted.

Indexed as

Campylobacter jejuniAnimalsAnti-Bacterial AgentsBrazilDrug Resistance, Multiple, BacterialGenome, BacterialGenomicsMeatMultilocus Sequence TypingPlasmidsPoultryVirulence FactorsAnti-Bacterial AgentsVirulence FactorsAntimicrobial resistanceBioinformaticsGenomicsMegaplasmidVirulence factors

Identifiers

PMID31749118
OpenAlexW2989658265

What OpenQuestion holds

Textmetadata
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.