Evidence map›Paper›PMID 40207938›Full record

ArticlemBio2025

Eukfinder: a pipeline to retrieve microbial eukaryote genome sequences from metagenomic data.

Dandan Zhao, Dayana E Salas-Leiva, Shelby K Williams, Katherine A Dunn, Jason D Shao, Andrew J Roger

Abstract read
In one paragraph

Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Magnetotaxis in an anaerobic ciliate via tripartite syntrophy.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

6 authors.

Dandan Zhao *Institute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0001-9182-1549
Dayana E Salas-Leiva *Institute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0003-2356-3351
Shelby K WilliamsInstitute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia, Canada.
Katherine A DunnInstitute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0002-9516-589X
Jason D ShaoInstitute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia, Canada.
Andrew J RogerInstitute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0003-1370-9820

Funding

Canadian Government | Canadian Institutes of Health Research (CIHR) FRN-142349
6 · The paper itself

Abstract

Whole-genome shotgun (WGS) metagenomic sequencing of microbial communities enables the discovery of the functions, physiologies, and evolutionary histories of prokaryotic and eukaryotic microbes. However, metagenomic studies of microbial eukaryotes lag due to challenges in identifying and assembling high-quality genomes from WGS data. To address this problem, we developed Eukfinder, a bioinformatics pipeline that identifies potential eukaryotic sequences from WGS metagenomic data, with a complementary binning workflow for recovering nuclear and mitochondrial genomes. Eukfinder uses two specialized databases for read/contig classification, customizable to specific data sets or environments. We tested Eukfinder on simulated gut microbiome data sets which included varying numbers of reads from the protist IMPORTANCE: Advancements in next-generation sequencing have made whole-genome shotgun (WGS) metagenomic sequencing an efficient method for

Indexed as

BlastocystisComputational BiologyEukaryotaMetagenomicsGastrointestinal MicrobiomeHumansMetagenomeSoftwareWhole Genome Sequencingeukaryotic microbial genomesmetagenomicswhole-genome shotgun sequencing

Identifiers

PMID40207938
PMCPMC12077102

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.