Evidence map›Paper›PMID 42343220›Full record

ArticleBMC microbiology2026

Exploring shotgun metagenomic data to detect microeukaryotic pathogens in wildlife.

Holly Nichols, Aleksey Molokin, Cary Pirone Davies, Jenny G Maloney

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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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.

Holly NicholsDepartment of Agriculture, Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Beltsville, MD, 20705, USA.
Aleksey MolokinDepartment of Agriculture, Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Beltsville, MD, 20705, USA.
Cary Pirone DaviesDepartment of Agriculture, Animal Biosciences and Biotechnology Laboratory, Agricultural Research Service, Beltsville, MD, 20705, USA. cary.davies@usda.gov.
Jenny G MaloneyDepartment of Agriculture, Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, Beltsville, MD, 20705, USA.

Funding

USDA, ARS 8042-32000-112-00-D
6 · The paper itself

Abstract

backgroundMicroeukaryotic parasites of the intestinal tract are an understudied group of organisms that infect humans and many other animals. Targeted sequencing methods focused on individual loci are usually employed for detection of these parasites, making comprehensive studies of microeukaryotic parasite diversity within hosts or other systems difficult. Exploratory approaches such as shotgun metagenomic sequencing to survey the diversity of microeukaryotic parasites in new and existing datasets are not well developed.

resultsUtilizing existing datasets from 12 goose fecal samples, we explored some of the benefits and challenges of using shotgun metagenome sequencing to detect microeukaryotic parasites. We demonstrated the importance of careful curation of read classification data to avoid erroneously linking pathogens to hosts or environments as unsupported classifications were common in the data and varied widely depending on analysis parameters. However, we were able to establish strong support for the presence of sequences of Eimeria and Enterocytozoon bieneusi. In addition, examination of trichomonad reads indicated that parasite reads mapping to human pathogens unlikely to colonize geese may in fact represent cryptic microeukaryotic species that are not included in existing curated databases opening new potential avenues of study.

conclusionsTaken together these findings support the idea that exploring microeukaryotic parasite diversity within shotgun metagenomic datasets can be beneficial to our understanding of the presence and diversity of these organisms in wildlife hosts.

Indexed as

Animals, WildGeeseMetagenomicsParasitesAnimalsFecesMetagenomeShotgun SequencingGooseKraken 2MicroeukaryotesMicroeukaryotic parasitesShotgun metagenomicsWildlife

Identifiers

PMID42343220
PMCPMC13555955

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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.