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Inter-facility characterization of bacteria in seafood processing plants: Exploring potential reservoirs of spoilage organisms and the resistome.
Corral-Jara, Karla Fabiola; Skírnisdóttir, Sigurlaug; Knobloch, Stephen; Briem, Helgi; Cobo-Díaz, José F; Carlino, Niccolò; Bergsten, Pauline; Armanini, Federica; Asnicar, Francesco; Pinto, Federica; Alvarez-Ordóñez, Avelino; Segata, Nicola; Marteinsson, Viggó Þór.
Afiliação
  • Corral-Jara KF; Microbiology Research Group, Matís Ltd., C.P.113, Reykjavik, Iceland.
  • Skírnisdóttir S; Microbiology Research Group, Matís Ltd., C.P.113, Reykjavik, Iceland.
  • Knobloch S; Microbiology Research Group, Matís Ltd., C.P.113, Reykjavik, Iceland.
  • Briem H; Department of Food Technology, Fulda University of Applied Sciences, C.P. 36037, Fulda, Germany.
  • Cobo-Díaz JF; Microbiology Research Group, Matís Ltd., C.P.113, Reykjavik, Iceland.
  • Carlino N; Department of Food Hygiene and Technology, Universidad de León, C.P. 24071 Spain.
  • Bergsten P; Segata Lab, Department CIBIO, University of Trento (UNITN), C.P. 38122, Trento, Italy.
  • Armanini F; Microbiology Research Group, Matís Ltd., C.P.113, Reykjavik, Iceland.
  • Asnicar F; Segata Lab, Department CIBIO, University of Trento (UNITN), C.P. 38122, Trento, Italy.
  • Pinto F; Segata Lab, Department CIBIO, University of Trento (UNITN), C.P. 38122, Trento, Italy.
  • Alvarez-Ordóñez A; Segata Lab, Department CIBIO, University of Trento (UNITN), C.P. 38122, Trento, Italy.
  • Segata N; Department of Food Hygiene and Technology, Universidad de León, C.P. 24071 Spain.
  • Marteinsson VÞ; Segata Lab, Department CIBIO, University of Trento (UNITN), C.P. 38122, Trento, Italy.
Heliyon ; 10(13): e33866, 2024 Jul 15.
Article em En | MEDLINE | ID: mdl-39071556
ABSTRACT
A study was conducted in fish processing facilities to investigate the microbial composition, microbial metabolic potential, and distribution of antibiotic resistance genes. Whole metagenomic sequencing was used to analyze microbial communities from different processing rooms, operators and fish products. Taxonomic analyses identified the genera Pseudomonas and Psychrobacter as the most prevalent bacteria. A Principal Component Analysis revealed a distinct separation between fish product and environmental samples, as well as differences between fish product samples from companies processing either Gadidae or Salmonidae fish. Some particular bacterial genera and species were associated with specific processing rooms and operators. Metabolic analysis of metagenome assembled genomes demonstrated variations in microbiota metabolic profiles of microbiota across rooms and fish products. The study also examined the presence of antibiotic-resistance genes in fish processing environments, contributing to the understanding of microbial dynamics, metabolic potential, and implications for fish spoilage.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article