Evidence map›Paper›PMID 42836415›Full record

ArticleThe Journal of eukaryotic microbiology

All Different All Equal: High Polymorphism in Nebela (Amoebozoa: Arcellinida) Revealed by Additional Sampling and Barcoding.

Guillermo Díez-González, David Singer, Enrique Lara

Abstract read
In one paragraph

Article in The Journal of eukaryotic microbiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Guillermo Díez-GonzálezDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0007-5588-9512
David SingerChangins, HES-SO University of Applied Sciences and Arts Western Switzerland, Vaud, Switzerland.ORCID https://orcid.org/0000-0002-4116-033X
Enrique LaraDepartment of Mycology, Real Jardín Botánico-CSIC, Madrid, Spain.ORCID https://orcid.org/0000-0001-8500-522X

Funding

European Regional Development Fund PID2021-128499NB-I00
6 · The paper itself

Abstract

Hyalospheniids are a conspicuous group of testate amoebae whose rich morphology has allowed their classification based on the characterization of their shells. However, recent studies showed the occurrence of convergences and phenotypic plasticity, which complicate their taxonomy. Molecular barcoding is the method of choice to resolve this diversity in an objective manner and accurately delineate species. In the genus Nebela, species diagnosis is based on small differences in shell size and shape, but sampling is scarce and restricted to a few locations, which could underestimate the real phenotypic variability. In this study, we obtained Nebela specimens from a new sampling location in Spain, which were all identified as Nebela collaris through COI barcoding and phylogenetic analysis. We showed through a morphological analysis (PCA and MRA) on 51 collected N. collaris specimens a considerable morphological variation that not only exceeds the diagnosed range for the species but also overlapped with most Nebela species, with only N. rotunda remaining clearly distinct in shape space. This illustrates the importance of intraspecific morphological variability in Arcellinida, and therefore the need for a large sampling to describe species morphology. The results stress the idea that single-cell barcoding is key in Arcellinida taxonomy.

Indexed as

AmoebozoaDNA Barcoding, TaxonomicLoboseaPolymorphism, GeneticDNA, ProtozoanElectron Transport Complex IVPhylogenySequence Analysis, DNASpainDNA, ProtozoanElectron Transport Complex IVArcellinidaCOI barcodingHyalospheniformesNebelaNebela collarisphylogenetics

Identifiers

PMID42836415
PMCPMC13640042

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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.