Genome quality variation across Scyphozoa and the comparative distribution of retinoid- and AhR-related gene families.
Park, Y.-J.; Lee, N.; JO, Y.; Yum, S.; Kwon, K. K.
Show abstract
Scyphozoan jellyfish have a complex life cycle that includes a characteristic transition known as strobilation. Retinoid signaling has been suggested to be involved in jellyfish metamorphosis and development. However, the genomic basis of signaling pathways associated with metamorphosis has not been sufficiently compared at the class level. Experimental studies have reported that indole compounds can induce metamorphosis in some jellyfish species. Indole- and tryptophan-derived metabolites are known to function as ligands for the aryl hydrocarbon receptor (AhR) in other organisms. However, the potential role of AhR signaling in jellyfish metamorphosis has not been previously explored. We compared the distribution of retinoid- and AhR-associated gene families across multiple scyphozoan genomes. This analysis aimed to characterize their distribution patterns in relation to signaling pathways associated with development and environmental responses. A standard gene prediction and annotation pipeline was applied to 20 species from 21 publicly available scyphozoan reference genome assemblies retrieved from the NCBI database. The distribution and copy number of these gene families were compared across species. Retinoid-associated gene families were detected across almost all Scyphozoa genomes, and core components of AhR signaling (AhR, ARNT) were identified in most species. These results suggest that scyphozoan genomes contain genetic components of retinoid- and AhR-related signals. This study presents the distribution of gene families related to developmental signaling across Scyphozoa using a comparative genomic approach. It does not imply direct functional involvement of retinoid or AhR signaling, but instead focuses on potential signaling pathways at the genome level. It also provides an overview of currently available scyphozoan genomic data. These findings provide a basis for future hypothesis generation and functional validation in jellyfish metamorphosis research.
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