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
Microbiology Research Group, Matís Ltd., C.P.113, Reykjavik, Iceland.
Department of Food Technology, Fulda University of Applied Sciences, C.P. 36037, Fulda, Germany.
Heliyon. 2024 Jun 30;10(13):e33866. doi: 10.1016/j.heliyon.2024.e33866. eCollection 2024 Jul 15.
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 and 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.
在鱼类加工设施中进行了一项研究，以调查微生物组成、微生物代谢潜力和抗生素抗性基因的分布。采用全宏基因组测序分析来自不同加工车间、操作人员和鱼产品的微生物群落。分类学分析确定 属和 属为最普遍的细菌。主成分分析揭示了鱼产品与环境样本之间的明显分离，以及加工鳕科或鲑科鱼类的公司的鱼产品样本之间的差异。一些特定的细菌属和种与特定的加工车间和操作人员有关。对宏基因组组装基因组的代谢分析表明，不同车间和鱼产品的微生物群代谢谱存在差异。该研究还检测了鱼类加工环境中抗生素抗性基因的存在情况，有助于了解微生物动态、代谢潜力以及对鱼类腐败的影响。
