The skin mucus of teleost fish harbors a complex microbial community that is continually interacting with the aquatic environment. Despite zebrafish, Danio rerio, serving as a model organism in a myriad of research fields, very little is known about the composition and role of the skin mucus microbiome. The purpose of this study was to determine a simple sampling method for the skin mucus microbiome, identify prominent bacterial members, and compare its composition to the microbial community of the surrounding environment. Next-generation sequencing of the V3-V4 region of the 16S rRNA gene was performed on skin mucus and filtered tank water samples. Results show that prominent bacterial members of the skin mucus in zebrafish include Actinobacteria (Mycobacteriaceae) and Gammaproteobacteria (Aeromonadaceae), followed by Alphaproteobacteria and Betaproteobacteria. The tank water contained much higher bacterial diversity and was clearly different from the skin mucus microbiome, despite continuous interaction. This study identifies a straightforward sampling method for the zebrafish skin mucus microbiome, enabling hypothesis generation on the role of ectosymbionts on host and microbiome health.
Keywords: 16S rRNA; microbiota; skin mucus; zebrafish.