Isolation and molecular characterization of Arcobacter butzleri and Arcobacter cryaerophilus from the pork production chain in Brazil Article Swipe
Débora Dirani Sena de Gobbi
,
Maria Garcia Spindola
,
Luisa Zanolli Moreno
,
Carlos E. C. Matajira
,
Maria Gabriela Xavier de Oliveira
,
Renata Paixão
,
Thaís Sebastiana Porfida Ferreira
,
Andréa Micke Moreno
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1590/1678-5150-pvb-4709
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1590/1678-5150-pvb-4709
Arcobacter is an emerging zoonotic pathogen, and the major transmission routes to humans are the handling or consumption of contaminated raw/undercooked food products of animal origin, water and seafood. The isolation and identification of Arcobacter species are not routine in clinical laboratories; therefore, its true incidence in human infections may be underestimated. The present study aimed to isolate and characterize Arcobacter from carcasses and fecal samples collected at swine slaughterhouses and from meat markets in São Paulo State, Brazil. The isolates were identified using multiplex-PCR to differentiate the species and analyzed by single-enzyme amplified fragment length polymorphism (SE-AFLP). Arcobacter spp. were isolated from 73.0% of swine carcasses, 4% of fecal samples and 10% of pork samples. A. butzleri was the most prevalent species identified, followed by A. cryaerophilus. Interestingly, the carcasses presented higher frequency of A. butzleri isolation, whereas only A. cryaerophilus was isolated from fecal samples. SE-AFLP enabled the characterization of A. butzleri and A. cryaerophilus into 51 and 63 profiles, respectively. The great genetic heterogeneity observed for both species corroborates previous reports. This study confirms the necessity for a standard isolation protocol and the improvement of molecular tools to further elucidate Arcobacter epidemiology.
Related Topics
Concepts
Arcobacter
Biology
Isolation (microbiology)
Feces
Amplified fragment length polymorphism
Multiplex polymerase chain reaction
Veterinary medicine
Microbiology
Genetic diversity
Polymerase chain reaction
Population
Genetics
Bacteria
Campylobacter
Medicine
Gene
Environmental health
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1590/1678-5150-pvb-4709
- http://www.scielo.br/pdf/pvb/v38n3/1678-5150-pvb-38-03-393.pdf
- OA Status
- gold
- Cited By
- 12
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2808581595
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2808581595Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1590/1678-5150-pvb-4709Digital Object Identifier
- Title
-
Isolation and molecular characterization of Arcobacter butzleri and Arcobacter cryaerophilus from the pork production chain in BrazilWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-03-01Full publication date if available
- Authors
-
Débora Dirani Sena de Gobbi, Maria Garcia Spindola, Luisa Zanolli Moreno, Carlos E. C. Matajira, Maria Gabriela Xavier de Oliveira, Renata Paixão, Thaís Sebastiana Porfida Ferreira, Andréa Micke MorenoList of authors in order
- Landing page
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https://doi.org/10.1590/1678-5150-pvb-4709Publisher landing page
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https://www.scielo.br/pdf/pvb/v38n3/1678-5150-pvb-38-03-393.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.scielo.br/pdf/pvb/v38n3/1678-5150-pvb-38-03-393.pdfDirect OA link when available
- Concepts
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Arcobacter, Biology, Isolation (microbiology), Feces, Amplified fragment length polymorphism, Multiplex polymerase chain reaction, Veterinary medicine, Microbiology, Genetic diversity, Polymerase chain reaction, Population, Genetics, Bacteria, Campylobacter, Medicine, Gene, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2, 2022: 1, 2020: 5, 2019: 3, 2018: 1Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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