Evidence map›Paper›PMID 33216898›Full record

ArticleDatabase : the journal of biological databases and curation2020

EukRef-excavates: seven curated SSU ribosomal RNA gene databases.

Martin Kolisko, Olga Flegontova, Anna Karnkowska, Gordon Lax, Julia M Maritz, Tomáš Pánek, Petr Táborský, Jane M Carlton, Ivan Čepička, Aleš Horák and 3 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Molecular Identification and Genotyping ofArchives of Razi Institute · 2025
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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

13 authors.

Martin KoliskoBiology Centre, Institute of Parasitology, Czech Academy of Sciences, 370 05 České Budeějovice (Budweis), Czech Republic.
Olga FlegontovaBiology Centre, Institute of Parasitology, Czech Academy of Sciences, 370 05 České Budeějovice (Budweis), Czech Republic.
Anna KarnkowskaInstitute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, 02-089 Warsaw, Poland.
Gordon LaxDepartment of Biology and Centre of Comparative Genomics and Evolutionary Bioinformatics, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Julia M MaritzDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Tomáš PánekDepartment of Zoology, Charles University, 128 00 Prague, Czech Republic .
Petr TáborskýBiology Centre, Institute of Parasitology, Czech Academy of Sciences, 370 05 České Budeějovice (Budweis), Czech Republic.
Jane M CarltonDepartment of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA.
Ivan ČepičkaDepartment of Zoology, Charles University, 128 00 Prague, Czech Republic .
Aleš HorákBiology Centre, Institute of Parasitology, Czech Academy of Sciences, 370 05 České Budeějovice (Budweis), Czech Republic.
Julius LukešBiology Centre, Institute of Parasitology, Czech Academy of Sciences, 370 05 České Budeějovice (Budweis), Czech Republic.
Alastair G B SimpsonDepartment of Biology and Centre of Comparative Genomics and Evolutionary Bioinformatics, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Vera TaiDepartment of Biology, University of Western Ontario, London, ON N6A 5B7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The small subunit ribosomal RNA (SSU rRNA) gene is a widely used molecular marker to study the diversity of life. Sequencing of SSU rRNA gene amplicons has become a standard approach for the investigation of the ecology and diversity of microbes. However, a well-curated database is necessary for correct classification of these data. While available for many groups of Bacteria and Archaea, such reference databases are absent for most eukaryotes. The primary goal of the EukRef project (eukref.org) is to close this gap and generate well-curated reference databases for major groups of eukaryotes, especially protists. Here we present a set of EukRef-curated databases for the excavate protists-a large assemblage that includes numerous taxa with divergent SSU rRNA gene sequences, which are prone to misclassification. We identified 6121 sequences, 625 of which were obtained from cultures, 3053 from cell isolations or enrichments and 2419 from environmental samples. We have corrected the classification for the majority of these curated sequences. The resulting publicly available databases will provide phylogenetically based standards for the improved identification of excavates in ecological and microbiome studies, as well as resources to classify new discoveries in excavate diversity.

Indexed as

ArchaeaEukaryotaBacteriaGenes, rRNAPhylogeny

Identifiers

PMID33216898
PMCPMC7678783

What OpenQuestion holds

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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.