Single-cell transcriptomic profiling of the zebrafish inner ear reveals molecularly distinct hair cell and supporting cell subtypes

A major cause of human deafness and vestibular dysfunction is permanent loss of the mechanosensory hair cells of the inner ear. In non-mammalian vertebrates such as zebrafish, regeneration of missing hair cells can occur throughout life. While a comparative approach has the potential to reveal the basis of such differential regenerative ability, the degree to which the inner ears of fish and mammals share common hair and supporting cell types remains unresolved. Here we perform single-cell RNA sequencing of the zebrafish inner ear at embryonic through adult stages to catalog the diversity of hair and non-sensory supporting cells. We identify a putative progenitor population for hair and supporting cells, as well as distinct hair and supporting cell types in the maculae versus cristae. The hair and supporting cell types differ from those described for the lateral line, a distributed mechanosensory organ in zebrafish in which most studies of hair cell regeneration have been conducted. In the maculae, we identify two subtypes of hair cells that share gene expression with mammalian striolar or extrastriolar hair cells. In situ hybridization reveals that these hair cell subtypes occupy distinct spatial domains within the two major macular organs, the utricle and saccule, consistent with the reported distinct electrophysiological properties of hair cells within these domains. These findings suggest that primitive specialization of spatially distinct striolar and extrastriolar hair cells likely arose in the last common ancestor of fish and mammals. The similarities of inner ear cell type composition between fish and mammals also support using zebrafish as a relevant model for understanding inner ear-specific hair cell function and regeneration. Inner ears were dissected from the Sox10Cre;UbiSwitch zebrafish at 14dpf (n=35) and 12mpf (n=6). Converted cells were isolated by Fluorescence-activated cell sorting (FACS) according to the presence or absence of mCherry signal and analyzed using 10x genomics based scRNAseq. Reads were aligned to danRer11 using the Cellranger pipeline