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[Analysis of Bacterial Communities and Antibiotic Resistance Genes in the Aquaculture Area of Changli County].
Wang, Qiu-Shui; Cheng, Bo; Liu, Yue; Deng, Jie; Xu, Yan; Sun, Chao-Hui; Yuan, Li-Yan; Zuo, Jia; Si, Fei; Gao, Li-Juan.
Afiliação
  • Wang QS; Institute of Analysis and Testing, Beijing Academy of Science and Technology(Beijing Center for Physical and Chemical Analysis), Beijing 100089, China.
  • Cheng B; Key Laboratory of Aquatic Product Quality and Safety Control, Ministry of Agriculture and Rural Affairs, Chinese Academy of Fishery Sciences, Beijing 100141, China.
  • Liu Y; Institute of Analysis and Testing, Beijing Academy of Science and Technology(Beijing Center for Physical and Chemical Analysis), Beijing 100089, China.
  • Deng J; Institute of Analysis and Testing, Beijing Academy of Science and Technology(Beijing Center for Physical and Chemical Analysis), Beijing 100089, China.
  • Xu Y; Beidaihe Central Experimental Station, Chinese Academy of Fishery Sciences, Qinhuangdao 066100, China.
  • Sun CH; Beidaihe Central Experimental Station, Chinese Academy of Fishery Sciences, Qinhuangdao 066100, China.
  • Yuan LY; Institute of Analysis and Testing, Beijing Academy of Science and Technology(Beijing Center for Physical and Chemical Analysis), Beijing 100089, China.
  • Zuo J; Institute of Analysis and Testing, Beijing Academy of Science and Technology(Beijing Center for Physical and Chemical Analysis), Beijing 100089, China.
  • Si F; Beidaihe Central Experimental Station, Chinese Academy of Fishery Sciences, Qinhuangdao 066100, China.
  • Gao LJ; Institute of Analysis and Testing, Beijing Academy of Science and Technology(Beijing Center for Physical and Chemical Analysis), Beijing 100089, China.
Huan Jing Ke Xue ; 45(1): 567-575, 2024 Jan 08.
Article em Zh | MEDLINE | ID: mdl-38216505
ABSTRACT
In order to understand the distribution of microorganisms and various antibiotic resistance genes in the aquaculture area of Changli County, Qinhuangdao, high-throughput sequencing technology was used in this study. We utilized 16S rDNA gene sequencing and metagenome sequencing methods to analyze the seawater, sediment, and gut contents of the local fish Synechogobius hasta in the aquaculture area in spring. The results showed that Proteobacteria, Firmicutes, and Bacteroidota were the dominant bacteria in seawater; and Proteobacteria, Crenarchaeota, Acidobacter, and Actinobaciota were rich in the sediment; whereas Proteobacteria, Cyanobacteria, Firmicutes, and Bacteroidota were in relatively high abundance in fish gut contents. The microbial diversity of sediment samples was the most abundant, followed by seawater samples, and the microbial diversity of fish intestinal contents was the lowest. Moreover, the microbial diversity of similar samples was relatively similar, and the microbial diversity of different types of samples was quite different. For samples at different sites, there were significant differences between seawater samples at each site, and there were small differences between sediment samples at each site, and some sediment sample groups did not have significant differences in microbial composition. In all sample groups, five ß-lactam antibiotic resistance genes (blaOXA-325, cepS, blaCARB-20, blaOXA-55, and blaTRU-1) and four aminoglycoside antibiotic resistance genes[aac(6')-IIb, amrA, aac(6')-Ie-aph(2″)-Ia, and aph(3')-Vc] were detected. There was also a certain correlation between antibiotic resistance genes and microbial communities.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Antibacterianos Limite: Animals Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Antibacterianos Limite: Animals Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article