Experimental Fish Models in the Post-Genomic Era: Tools for Multidisciplinary Science

Camila Carlino-Costa and Marco Antonio de Andrade Belo ()
Additional contact information
Camila Carlino-Costa: Department of One Health, Sao Paulo State University (UNESP), Jaboticabal 14884-900, SP, Brazil
Marco Antonio de Andrade Belo: Laboratory of Animal Pharmacology and Toxicology, Brazil University, Descalvado 13690-000, SP, Brazil

J, 2025, vol. 8, issue 4, 1-37

Abstract: Fish have become increasingly prominent as experimental models due to their unique capacity to bridge basic biological research with translational applications across diverse scientific disciplines. Their biological traits, such as external fertilization, high fecundity, rapid embryonic development, and optical transparency, facilitate in vivo experimentation and real-time observation, making them ideal for integrative research. Species like zebrafish ( Danio rerio ) and medaka ( Oryzias latipes ) have been extensively validated in genetics, toxicology, neuroscience, immunology, and pharmacology, offering robust platforms for modeling human diseases, screening therapeutic compounds, and evaluating environmental risks. This review explores the multidisciplinary utility of fish models, emphasizing their role in connecting molecular mechanisms to clinical and environmental outcomes. We address the main species used, highlight their methodological advantages, and discuss the regulatory and ethical frameworks guiding their use. Additionally, we examine current limitations and future directions, particularly the incorporation of high-throughput omics approaches and real-time imaging technologies. The growing scientific relevance of fish models reinforces their strategic value in advancing cross-disciplinary knowledge and fostering innovation in translational science.

Keywords: multi-omics technologies; zebrafish; medaka; translational medicine; CRISPR/Cas9-mediated genome editing (search for similar items in EconPapers)
JEL-codes: I1 I10 I12 I13 I14 I18 I19 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2571-8800/8/4/39/pdf (application/pdf)
https://www.mdpi.com/2571-8800/8/4/39/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jjopen:v:8:y:2025:i:4:p:39-:d:1763760

Access Statistics for this article

J is currently edited by Ms. Angelia Su

More articles in J from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().