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Immunological and molecular diagnostic techniques in fish health: present and future prospectus.
- Source :
-
Molecular biology reports [Mol Biol Rep] 2024 Apr 20; Vol. 51 (1), pp. 551. Date of Electronic Publication: 2024 Apr 20. - Publication Year :
- 2024
-
Abstract
- Fish health management is critical to aquaculture and fisheries as it directly affects sustainability and productivity. Fish disease diagnosis has taken a massive stride because of advances in immunological and molecular diagnostic tools which provide a sensitive, quick, and accurate means of identifying diseases. This review presents an overview of the main molecular and immunological diagnostic methods for determining the health of fish. The immunological techniques help to diagnose different fish diseases by detecting specific antigens and antibodies. The application of immunological techniques to vaccine development is also examined in this review. The genetic identification of pathogens is made possible by molecular diagnostic techniques that enable the precise identification of bacterial, viral, and parasitic organisms in addition to evaluating host reactions and genetic variation associated with resistance to disease. The combination of molecular and immunological methods has resulted in the creation of novel techniques for thorough evaluation of fish health. These developments improve treatment measures, pathogen identification and provide new information about the variables affecting fish health, such as genetic predispositions and environmental stresses. In the framework of sustainable fish farming and fisheries management, this paper focuses on the importance of these diagnostic techniques that play a crucial role in protecting fish populations and the aquatic habitats. This review also examines the present and potential future directions in immunological and molecular diagnostic techniques in fish health.<br /> (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)
Details
- Language :
- English
- ISSN :
- 1573-4978
- Volume :
- 51
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Molecular biology reports
- Publication Type :
- Academic Journal
- Accession number :
- 38642170
- Full Text :
- https://doi.org/10.1007/s11033-024-09344-5