Zebrafish models of candidate human epilepsy-associated genes provide evidence of hyperexcitability

Hundreds of novel candidate human epilepsy-associated genes have been identified thanks to advancements in next-generation sequencing and large genome-wide association studies, but establishing genetic etiology requires functional validation. We generated a list of >2200 candidate epilepsy-associated genes, of which 81 were determined suitable for the generation of loss-of-function zebrafish models via CRISPR/Cas9 gene editing. Of those 81 crispants, 48 were successfully established as stable mutant lines and assessed for seizure-like swim patterns in a primary F2 screen. Evidence of seizure-like behavior was present in 5 (arfgef1, kcnd2, kcnv1, ubr5, wnt8b) of the 48 mutant lines assessed. Further characterization of those 5 lines provided evidence for epileptiform activity via electrophysiology in kcnd2 and wnt8b mutants. Additionally, arfgef1 and wnt8b mutants showed a decrease in the number of inhibitory interneurons in the optic tectum of larval animals. Furthermore, RNAseq revealed convergent transcriptional abnormalities between mutant lines, consistent with their developmental defects and hyperexcitable phenotypes. These zebrafish models provide strongest experimental evidence supporting the role of ARFGEF1, KCND2, and WNT8B in human epilepsy and further demonstrate the utility of this model system for evaluating candidate human epilepsy genes.

An Open-Source Husbandry Repository

Electronic databases provide effective and efficient management of zebrafish colony operations, but commercially available options are expensive. In this study we have developed a free zebrafish management repository alternative using free Google applications. Husbandry information is logged into a Google Sheets-based catalog through Google Form (GF) entries. Form autopopulation can be streamlined by barcodes, which can be generated and deciphered through free smartphone applications. The repository is capable of calculating pertinent husbandry dates from GF input and sending e-mail reminders to users for specified tasks. A Google application-based repository allows for a free simple zebrafish husbandry management solution.