Evidence map›Paper›PMID 35035629›Full record

ArticleConservation genetics resources2022

What's left in the tank? Identification of non-ascribed aquarium's coral collections with DNA barcodes as part of an integrated diagnostic approach.

Luigi Colin, Daniel Abed-Navandi, Dalia A Conde, Jamie Craggs, Rita da Silva, Max Janse, Björn Källström, Alexander Pearce-Kelly, Chris Yesson

Abstract read
In one paragraph

Article in Conservation genetics resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Luigi ColinInstitute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY UK.ORCID 0000-0002-6966-2817
Daniel Abed-NavandiHaus des Meeres-Aqua Terra Zoo, Fritz Gruenbaum Platz 1, 1060 Vienna, Austria.
Dalia A CondeInterdisciplinary Centre on Population Dynamics (CPop), Biology Department, University of Southern Denmark, Syddansk Universitet, Campusvej 55, 5230 Odense, Denmark.
Jamie CraggsHorniman Museum and Gardens, 100 London Road, Forest Hill, London, SE23 3PQ UK.
Rita da SilvaInterdisciplinary Centre on Population Dynamics (CPop), Biology Department, University of Southern Denmark, Syddansk Universitet, Campusvej 55, 5230 Odense, Denmark.
Max JanseRoyal Burgers' Zoo, Antoon van Hooffplein 1, 6816 SH Arnhem, the Netherlands.
Björn KällströmMaritime Museum and Aquarium, Karl Johansgatan 1-3, 41459 Göteborg, Sweden.
Alexander Pearce-KellyZoological Society of London, Regent's Park, London, NW1 4RY UK.
Chris YessonInstitute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unprecedented threats to coral reef ecosystems from global climate change require an urgent response from the aquarium community, which is becoming an increasingly vital coral conservation resource. Unfortunately, many hermatypic corals in aquaria are not identified to species level, which hinders assessment of their conservation significance. Traditional methods of species identification using morphology can be challenging, especially to non-taxonomists. DNA barcoding is an option for species identification of Scleractinian corals, especially when used in concert with morphology-based assessment. This study uses DNA barcodes to try to identify aquarium specimens of the diverse reef-forming genus Supplementary Information: The online version contains supplementary material available at 10.1007/s12686-021-01250-3.

Indexed as

AquariumBlast matchCoralDNA barcodingIdentificationSpecies

Identifiers

PMID35035629
PMCPMC8750641

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.