The Influence of Behavioral, Social, and Environmental Factors on Reproducibility and Replicability in Aquatic Animal Models. (13th May 2020)

• Record Type: Journal Article
• Authors: Lieggi, Christine; Kalueff, Allan V; Lawrence, Christian; Collymore, Chereen
• Is Part Of: ILAR journal. Volume 60:Number 2(2019)
• Page Start: 270
• Page End: 288
• Publication Date: 2020-05-13
• Subjects: behavior -- enrichment -- husbandry -- neurobehavior -- replicability -- reproducibility -- xenopus; zebrafish; Laboratory animals -- Periodicals; Animal models in research -- United States -- Periodicals; Animal Welfare -- Periodicals; Animals, Laboratory -- Periodicals; Transplantation, Heterologous -- Periodicals; 636.0885
• DOI: 10.1093/ilar/ilz019
• Languages: English
• ISSNs: 1084-2020

Abstract

Abstract: The publication of reproducible, replicable, and translatable data in studies utilizing animal models is a scientific, practical, and ethical necessity. This requires careful planning and execution of experiments and accurate reporting of results. Recognition that numerous developmental, environmental, and test-related factors can affect experimental outcomes is essential for a quality study design. Factors commonly considered when designing studies utilizing aquatic animal species include strain, sex, or age of the animal; water quality; temperature; and acoustic and light conditions. However, in the aquatic environment, it is equally important to consider normal species behavior, group dynamics, stocking density, and environmental complexity, including tank design and structural enrichment. Here, we will outline normal species and social behavior of 2 commonly used aquatic species: zebrafish ( Danio rerio ) and Xenopus ( X. laevis and X. tropicalis ) . We also provide examples as to how these behaviors and the complexity of the tank environment can influence research results and provide general recommendations to assist with improvement of reproducibility and replicability, particularly as it pertains to behavior and environmental complexity, when utilizing these popular aquatic models.