Evidence map›Paper›PMID 39325969›Full record

ArticleThe ISME journal2024

Hidden syndinian and perkinsid infections in dinoflagellate hosts revealed by single-cell transcriptomics.

Elizabeth C Cooney, Brian S Leander, Patrick J Keeling

Abstract read
In one paragraph

Article in The ISME journal, 2024. 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. Article
  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

3 authors.

Elizabeth C CooneyDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Brian S LeanderDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Patrick J KeelingDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Funding

Gordon and Betty Moore Foundation GBMF9201Natural Sciences and Engineering Research Council of Canada NSERC 2019-03994
6 · The paper itself

Abstract

Free-living core dinoflagellates are commonly infected by members of two parasitic clades that are themselves closely related to dinoflagellates, the marine alveolates and perkinsids. These parasites are abundant and ecologically important, but most species have been difficult to observe directly or cultivate, so our knowledge of them is usually restricted to environmental 18S rRNA gene sequences, as genome-scale molecular data are not available for most species. Here, we report the finding of several of these parasites infecting free-living dinoflagellates. Of the 14 infected host cells collected, only five were identified as containing parasites via light microscopy at the time of collection. Single-cell transcriptome sequencing yielded relatively high transcriptomic coverage for parasites as well as their hosts. Host and parasite homologs were distinguished phylogenetically, allowing us to infer a robust phylogenomic tree based on 192 genes. The tree showed one parasite belongs to an undescribed lineage that is sister to perkinsids, whereas the remainder are members of the syndinian clade within the marine alveolates. Close relatives of all these parasites have been observed in 18S rRNA gene surveys, but until now none had been linked to a specific host. These findings illustrate the efficacy of single-cell isolation and transcriptome sequencing as strategies for gaining deeper insights into the evolutionary history and host relationships of hidden single-celled parasites.

Indexed as

AlveolataDinoflagellidaPhylogenySingle-Cell AnalysisTranscriptomeAnimalsGene Expression ProfilingHost-Parasite InteractionsRNA, Ribosomal, 18SRNA, Ribosomal, 18SAmoebophryadinoflagellateMALVparasiteperkinsidsingle-cell transcriptomics

Identifiers

PMID39325969
PMCPMC11468006

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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.