Evidence map›Paper›PMID 31235850›Full record

ArticleScientific reports2019

Revealing higher than expected diversity of Harpacticoida (Crustacea:Copepoda) in the North Sea using MALDI-TOF MS and molecular barcoding.

S Rossel, P Martínez Arbizu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. EvaluatingPeerJ · 2025
    Article
  3. Article
  4. Article
  5. Veterinary sciences · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
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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

2 authors at 1 institution in 1 country.

S RosselSenckenberg Research Institute, German Centre for Marine Biodiversity Research (DZMB), Südstrand 44, 26382, Wilhelmshaven, Germany. sven.rossel@senckenberg.de.ORCID http://orcid.org/0000-0002-1187-346X
P Martínez ArbizuSenckenberg Research Institute, German Centre for Marine Biodiversity Research (DZMB), Südstrand 44, 26382, Wilhelmshaven, Germany.
Carl von Ossietzky Universität Oldenburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The North Sea is one of the most extensively studied marine regions of the world. Hence, large amounts of molecular data for species identification are available in public repositories, and expectations to find numerous new species in this well-known region are rather low. However, molecular reference data for harpacticoid copepods from this area in particular but also for this group in general is scarce. By assessing COI barcodes and MALDI-TOF mass spectra for this group of small crustaceans, it was discovered that there is a huge unknown diversity in this area. In total, COI sequences for 548 specimens from 115 species of harpacticoid copepods are presented. Over 19% of these were new to science and ten MOTUs were found to be part of cryptic species complexes. MALDI-TOF mass spectra were assessed for 622 specimens from 75 species. Because results were in concordance with species delimitation by COI barcoding and also enabled recognition of possible cryptic species, the discriminative power of this technique for biodiversity assessments is highlighted. Findings imply, species diversity in this group may be largely underestimated and total species number can be expected to be much higher than previously assumed.

Indexed as

BiodiversityPhylogenyAnimalsCopepodaDNA Barcoding, TaxonomicNorth SeaSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID31235850
PMCPMC6591307
OpenAlexW2955234727

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Registered trials

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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.