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Mitsuyama, S.

Publications and source records attributed to Mitsuyama, S..

2 recordsLinked to original sources

Environmental exosomes: Evidence of extracellular RNA release by aquatic organisms

Aquatic organisms continuously interact with surrounding water, yet whether they release extracellular vesicles remains unknown. We hypothesized that pearl oysters (Pinctada fucata) release exosomes/small extracellular vesicles (sEVs) into the aquatic environment. To this end, we collected exosomes/sEV-sized components by ultrafiltration from tank water and open-sea culture areas. Microscopy revealed abundant vesicles consistent with exosome/sEV size, and RNA sequencing identified oyster-specific piRNAs that matched sequences previously detected in hemolymph exosomes. These findings demonstrated that pearl oysters actively released exosomes containing species-specific nucleic acids into surrounding water. We propose referring to these vesicles as environmental exosomes/environmental sEVs (eExosomes/esEVs). This finding suggests that aquatic exosomes serve as carriers of RNA and may contribute to inter-organismal communication networks. Beyond their functional role, eExosomes/esEVs also hold promise as novel targets for environmental DNA/RNA (eDNA/eRNA) analysis, offering new opportunities for ecological monitoring and biodiversity research.

ecology↗

Designed hybrids facilitate efficient generation of high-resolution linkage maps

In sequencing eukaryotic genomes, linkage maps are indispensable for building scaffolds with which to assemble and/or to validate chromosomes. However, current approaches to construct linkage maps are limited by marker density and cost-effectiveness, especially for wild organisms. We have now devised a new strategy based on artificially generated hybrid organisms to acquire ultra high-density genomic markers at lower cost and build highly accurate linkage maps. Using this method, linkage maps and draft sequences for two species of pufferfish were obtained simultaneously. We anticipate that the method will accelerate genomic analysis of sexually reproducing organisms.

genomics↗