Evidence map›Paper›PMID 33589768›Full record

ArticleThe ISME journal2021

Resolving cryptic species complexes in marine protists: phylogenetic haplotype networks meet global DNA metabarcoding datasets.

Daniele De Luca, Roberta Piredda, Diana Sarno, Wiebe H C F Kooistra

Abstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Assessing Species Delimitation inMicroorganisms · 2026
    Article
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  6. Article
  7. Review
  8. Molecular and phylogenetic characterization of a Cnidarian parasite (Cnidaria: Myxozoa)Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024
    Article
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  10. Article
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  17. Biodiversity and Spatial-Temporal Dynamics ofInternational journal of environmental research and public health · 2021
    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

4 authors.

Daniele De Luca *Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Naples, Italy.ORCID http://orcid.org/0000-0002-1639-9138
Roberta Piredda *Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Naples, Italy.ORCID http://orcid.org/0000-0002-6672-439X
Diana SarnoDepartment of Research Infrastructure for Marine Biological Resources, Stazione Zoologica Anton Dohrn, Naples, Italy.
Wiebe H C F KooistraDepartment of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn, Naples, Italy. wiebe.kooistra@szn.it.ORCID http://orcid.org/0000-0002-8641-9739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine protists have traditionally been assumed to be lowly diverse and cosmopolitan. Yet, several recent studies have shown that many protist species actually consist of cryptic complexes of species whose members are often restricted to particular biogeographic regions. Nonetheless, detection of cryptic species is usually hampered by sampling coverage and application of methods (e.g. phylogenetic trees) that are not well suited to identify relatively recent divergence and ongoing gene flow. In this paper, we show how these issues can be overcome by inferring phylogenetic haplotype networks from global metabarcoding datasets. We use the Chaetoceros curvisetus (Bacillariophyta) species complex as study case. Using two complementary metabarcoding datasets (Ocean Sampling Day and Tara Oceans), we equally resolve the cryptic complex in terms of number of inferred species. We detect new hypothetical species in both datasets. Gene flow between most of species is absent, but no barcoding gap exists. Some species have restricted distribution patterns whereas others are widely distributed. Closely related taxa occupy contrasting biogeographic regions, suggesting that geographic and ecological differentiation drive speciation. In conclusion, we show the potential of the analysis of metabarcoding data with evolutionary approaches for systematic and phylogeographic studies of marine protists.

Indexed as

DNA Barcoding, TaxonomicEukaryotaHaplotypesOceans and SeasPhylogeny

Identifiers

PMID33589768
PMCPMC8245484

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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.