Bibliographic Details
| Title: |
Antimicrobials and resistant bacteria in global fish farming and the possible risk for public health |
| Authors: |
Gazal, Luís Eduardo de Souza, Brito, Kelly Cristina Tagliari de, Kobayashi, Renata Katsuko Takayama, Nakazato, Gerson, Cavalli, Lissandra Souto, Otutumi, Luciana Kazue, Brito, Benito Guimarães de |
| Source: |
Arquivos do Instituto Biológico. January 2020 87 |
| Publisher Information: |
Instituto Biológico, 2020. |
| Publication Year: |
2020 |
| Subject Terms: |
aquaculture, animal husbandry, fish production, antimicrobial resistance, food safety |
| More Details: |
The use of antimicrobials in fish farming is a reflection of the fast aquaculture development worldwide. The intensification of aquaculture to achieve market demands could lead to an increase in infectious diseases by pathogenic bacteria. Consequently, antimicrobials act as controls for emerging infectious diseases, but their use must follow the rules and regulations of the country where the activity is performed. Although the regulations impose limits to the use of antimicrobials in fish farming, many studies show that resistant bacteria are isolated from this system. The selection of resistant bacteria is not limited only to the use of antimicrobials, but also to co-selection of resistance genes or even with cross-resistance processes. Resistant bacteria from fish farming are a serious concern because they can be acquired by humans with handling or food chain, which may represent a public health problem. In the present review, we present an overview of antimicrobials use in aquaculture, the antimicrobial resistance and the impact of antimicrobial and bacterial resistance from a public health perspective. |
| Document Type: |
article |
| File Description: |
text/html |
| Language: |
English |
| ISSN: |
1808-1657 |
| DOI: |
10.1590/1808-1657000362019 |
| Access URL: |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1808-16572020000100601 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edssci.S1808.16572020000100601 |
| Database: |
SciELO |
