Evidence map›Paper›PMID 38232174›Full record

ArticleScience advances2024

An in situ digital synthesis strategy for the discovery and description of ocean life.

John A Burns, Kaitlyn P Becker, David Casagrande, Joost Daniels, Paul Roberts, Eric Orenstein, Daniel M Vogt, Zhi Ern Teoh, Ryan Wood, Alexander H Yin and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

John A BurnsBigelow Laboratory for Ocean Sciences, East Boothbay, ME 04544, USA.ORCID 0000-0002-2348-8438
Kaitlyn P BeckerSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0003-2650-295X
David CasagrandeDepartment of Ocean Engineering, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA.
Joost DanielsMonterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.ORCID 0000-0002-9480-6077
Paul RobertsMonterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.ORCID 0000-0001-5583-5572
Eric OrensteinMonterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.ORCID 0000-0002-9822-6774
Daniel M VogtSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Zhi Ern TeohPA Consulting, Concord, MA 01742, USA.ORCID 0000-0003-2712-5965
Ryan WoodPA Consulting, Concord, MA 01742, USA.ORCID 0009-0003-3188-0696
Alexander H YinDepartment of Ocean Engineering, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA.ORCID 0000-0001-9369-1004
Baptiste GenotBigelow Laboratory for Ocean Sciences, East Boothbay, ME 04544, USA.
David F GruberDepartment of Natural Sciences, Baruch College, City University of New York, New York, NY 10010, USA.ORCID 0000-0001-9041-2911
Kakani KatijaMonterey Bay Aquarium Research Institute, Research and Development, Moss Landing, CA 95039, USA.ORCID 0000-0002-7249-0147
Robert J WoodSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Brennan T PhillipsDepartment of Ocean Engineering, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA.ORCID 0000-0003-4361-6529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

RoboticsZooplanktonAnimalsGelatinOceans and SeasWaterGelatinWater

Identifiers

PMID38232174
PMCPMC10793947

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.