Evidence map›Paper›PMID 32903988›Full record

ArticleBiodiversity data journal2020

Comparative analysis of morphological and molecular approaches integrated into the study of the dinoflagellate biodiversity within the recently deposited Black Sea sediments - benefits and drawbacks.

Nina Dzhembekova, Fernando Rubino, Satoshi Nagai, Ivelina Zlateva, Nataliya Slabakova, Petya Ivanova, Violeta Slabakova, Snejana Moncheva

Open access · goldAbstract read
In one paragraph

Article in Biodiversity data journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. 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

8 authors at 1 institution in 3 countries.

Nina DzhembekovaInstitute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences, Varna, Bulgaria Institute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences Varna Bulgaria.ORCID https://orcid.org/0000-0001-9620-6422
Fernando RubinoWater Research Institute, Unit Talassografico "A. Cerruti", National Research Council CNR-IRSA, Taranto, Italy Water Research Institute, Unit Talassografico "A. Cerruti", National Research Council CNR-IRSA Taranto Italy.
Satoshi NagaiNational Research Institute of Fisheries Science, Research Center for Aquatic Genomics, Fisheries Research and Education Agency, Yokohama Kanagawa, Japan National Research Institute of Fisheries Science, Research Center for Aquatic Genomics, Fisheries Research and Education Agency Yokohama Kanagawa Japan.
Ivelina ZlatevaInstitute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences, Varna, Bulgaria Institute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences Varna Bulgaria.
Nataliya SlabakovaInstitute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences, Varna, Bulgaria Institute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences Varna Bulgaria.
Petya IvanovaInstitute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences, Varna, Bulgaria Institute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences Varna Bulgaria.
Violeta SlabakovaInstitute of Oceanology "Fridtjof Nansen", Ocean Technologies Department, Bulgarian Academy of Sciences, Varna, Bulgaria Institute of Oceanology "Fridtjof Nansen", Ocean Technologies Department, Bulgarian Academy of Sciences Varna Bulgaria.
Snejana MonchevaInstitute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences, Varna, Bulgaria Institute of Oceanology "Fridtjof Nansen", Marine Biology and Ecology Department, Bulgarian Academy of Sciences Varna Bulgaria.
Japan Fisheries Research and Education Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the assets, assigned to the phytoplankton resting stages, is that of serving as the "memory" of the aquatic ecosystems and preserved biodiversity in the course of time. However, an accurate cyst identification proves to be a more difficult and extremely challenging process, even today. In order to gain a better taxonomic coverage of cyst assemblages in the Black Sea, an integrated approach of the classical morphological identification with metabarcoding methods (MySeq sequencing of V7-V9 regions of the 18S rDNA) was applied on thirteen surface sediment samples collected from different sites. A total number of 112 dinoflagellate taxa was detected at the species level and ascribed to 51 genera. In general, it is the molecular analysis that yields a higher number of taxa as compared to those obtained through the morphological taxonomy (66 taxa based on the DNA sequences versus 56 morphologically-identified taxa). Besides, it should be pointed out that the integrated dataset includes 14 potentially toxic dinoflagellate species. Discerned, subsequently, was a good dataset consistency for ten species, followed by some discrepancies as to a number of taxa, identified with one of the methods only, due to specific methodological biases. On the whole, it could be concluded that the combination of morphological and molecular methods is likely to increase the potential for a more reliable taxonomic assessment of phytoplankton diversity in marine sediments which, in turn, proves conclusively the utmost importance of the integrated approach.

Indexed as

Black Seacystmetabarcodingmorphologyphytoplankton

Identifiers

PMID32903988
PMCPMC7447646
OpenAlexW3063227125

What OpenQuestion holds

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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.