Evidence map›Paper›PMID 42395425›Full record

ArticlebioRxiv : the preprint server for biology2026

Quantitative detection of gut microbial eukaryotes with EukDetect2 reveals global distribution of commensal protists and association with distinct microbial community structure.

Johnathan B Shih, Chunyu Zhao, Katherine S Pollard, Abigail L Lind

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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
–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

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

4 authors.

Johnathan B ShihSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0009-0007-8442-794X
Chunyu ZhaoGladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA.ORCID 0000-0001-9589-2416
Katherine S PollardGladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA.ORCID 0000-0002-9870-6196
Abigail L LindSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-9579-4178

Funding

Linking microbiome genetic variants with cardiovascular phenotypes in 50,000 individualsR01HL160862 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI POLLARD, KATHERINE S. · 2022 to 2025
$2.7M
Protective impacts of commensal protists on the human gut microbiomeK22AI173181 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI LIND, ABIGAIL · 2024 to 2025
$264k
NHLBI NIH HHS R01 HL160862NIAID NIH HHS K22 AI173181
6 · The paper itself

Abstract

Microbial eukaryotes are prevalent members of host-associated and free-living microbial communities, but are routinely excluded from studies of these communities. Existing methods for eukaryote detection from whole metagenome sequencing are limited by contamination of eukaryotic reference genomes and incomplete taxonomic coverage. Our previously published tool EukDetect addressed these challenges using a curated database of universal BUSCO marker genes, but lacked validated quantitative abundance metrics and was built from a limited number of genomes. Here we present EukDetect2, incorporating a database containing 6,948 microbial eukaryotic genomes representing 6,594 unique species, 2,339 of which are newly added since EukDetect version 1, alongside quantitative metrics for estimating absolute and relative abundance of microbial eukaryotes. Using simulated data, we demonstrate accurate abundance estimation, no false positives from bacterial or host-derived reads, and equivalent or greater sensitivity and specificity than alternative taxonomic profiling tools across a range of microbial abundances and community compositions. Applying EukDetect2 across globally distributed human gut microbiome cohorts, we find that

Indexed as

fungigut microbiomemetagenomicsmicrobial eukaryotesprotists

Identifiers

PMID42395425
PMCPMC13320746

What OpenQuestion holds

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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.