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Establishing genetically controlled, closed 1 colonies of an ascidian

Satou, Y.; Yoshida, M.; Sasakura, Y.; Yoshida, R.; Tokuhiro, S.-i.; Shibata, A.; Kohtsuka, H.; Kakizaki, H.; Aratake, S.; Yoshikawa, A.; Masuda, R.; Kusakabe, T. G.; Ogasawara, M.; Hamada, M.; Shiba, K.; Inaba, K.; Satoh, N.; The Ciona bio-resource consortium,

2026-01-30 developmental biology
10.64898/2026.01.29.702678 bioRxiv
Show abstract

Recent technological advances have made many "non-model" organisms accessible for experimental studies. However, reference inbred strains were not necessarily available, especially in marine invertebrates, and genetic background of organisms used for experiments are often non-uniform. This situation potentially affects experimental reproducibility. Although ascidians, Ciona intestinalis (type A, or C. robusta), are a widely used marine animal for many areas of experimental biology including developmental studies, no reference strains have been obtained despite extensive efforts. As an alternative way to improve reproducibility, we have established and maintained ascidian colonies through intra-population breeding every year from 2016 to 2020, and monitored genomic variants of these colonies. This method does not reduce genetic variations but instead manages and monitors genetic variations in the colonies, providing an easy and cost-effective way of increasing experimental reproducibility. Furthermore, we recently upgraded these genetically isolated, closed colonies that were re-established every year, and have maintained them for more than three years only through intra-population breeding and occasional back-cross using cryopreserved sperm. Genetic variants that we revealed using 3.7 tera-bases of sequence data will help to design future experiments in this species. Our data also show that two wild-populations, which were used to establish the colonies, have maintained distinct genetic backgrounds, although their habitats are directly linked to the Pacific Ocean and only 170 km apart. More importantly, genetic information regarding these colonies will undoubtedly improve experimental reproducibility and traceability, and our method will provide a realistic solution for performing reproducible experiments using non-model organisms.

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