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An in situ digital synthesis strategy for the discovery and description of ocean life.
Burns, John A; Becker, Kaitlyn P; Casagrande, David; Daniels, Joost; Roberts, Paul; Orenstein, Eric; Vogt, Daniel M; Teoh, Zhi Ern; Wood, Ryan; Yin, Alexander H; Genot, Baptiste; Gruber, David F; Katija, Kakani; Wood, Robert J; Phillips, Brennan T.
Afiliação
  • Burns JA; Bigelow Laboratory for Ocean Sciences, East Boothbay, ME 04544, USA.
  • Becker KP; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
  • Casagrande D; Department of Ocean Engineering, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA.
  • Daniels J; Monterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.
  • Roberts P; Monterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.
  • Orenstein E; Monterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.
  • Vogt DM; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
  • Teoh ZE; PA Consulting, Concord, MA 01742, USA.
  • Wood R; PA Consulting, Concord, MA 01742, USA.
  • Yin AH; Department of Ocean Engineering, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA.
  • Genot B; Bigelow Laboratory for Ocean Sciences, East Boothbay, ME 04544, USA.
  • Gruber DF; Department of Natural Sciences, Baruch College, City University of New York, New York, NY 10010, USA.
  • Katija K; Monterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.
  • Wood RJ; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
  • Phillips BT; Department of Ocean Engineering, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA.
Sci Adv ; 10(3): eadj4960, 2024 Jan 19.
Article em En | MEDLINE | ID: mdl-38232174
ABSTRACT
Revolutionary advancements in underwater imaging, robotics, and genomic sequencing have reshaped marine exploration. We present and demonstrate an interdisciplinary approach that uses emerging quantitative imaging technologies, an innovative robotic encapsulation system with in situ RNA preservation and next-generation genomic sequencing to gain comprehensive biological, biophysical, and genomic data from deep-sea organisms. The synthesis of these data provides rich morphological and genetic information for species description, surpassing traditional passive observation methods and preserved specimens, particularly for gelatinous zooplankton. Our approach enhances our ability to study delicate mid-water animals, improving research in the world's oceans.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Zooplâncton / Robótica Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Zooplâncton / Robótica Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article