Streamlined Sampling and Cultivation of the Pelagic Cosmopolitan Larvacean, Oikopleura dioica.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
16 06 2020
Historique:
entrez: 7 7 2020
pubmed: 7 7 2020
medline: 24 10 2020
Statut: epublish

Résumé

Oikopleura dioica is a planktonic chordate with exceptional filter-feeding ability, rapid generation time, conserved early development, and a compact genome. For these reasons, it is considered a useful model organism for marine ecological studies, evolutionary developmental biology, and genomics. As research often requires a steady supply of animal resources, it is useful to establish a reliable, low-maintenance culture system. Here we describe a step-by-step method for establishing an O. dioica culture. We describe how to select potential sampling sites, collection methods, target animal identification, and the set-up of the culturing system. We provide troubleshooting advice based on our own experiences. We also highlight critical factors that help sustain a robust culture system. Although the culture protocol provided here is optimized for O. dioica, we hope our sampling technique and culture setup will inspire new ideas for maintaining other fragile pelagic invertebrates.

Identifiants

pubmed: 32628172
doi: 10.3791/61279
doi:

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Aki Masunaga (A)

Okinawa Institute of Science and Technology Graduate University; aki.masunaga@oist.jp.

Andrew W Liu (AW)

Okinawa Institute of Science and Technology Graduate University.

Yongkai Tan (Y)

Okinawa Institute of Science and Technology Graduate University.

Andrew Scott (A)

Okinawa Institute of Science and Technology Graduate University.

Nicholas M Luscombe (NM)

Okinawa Institute of Science and Technology Graduate University; Francis Crick Institute; UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London.

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Classifications MeSH