Evidence map›Paper›PMID 40497385›Full record

ArticleMolecular ecology resources2025

Needle in a Haystack: A Droplet Digital Polymerase Chain Reaction Assay to Detect Rare Helminth Parasites Infecting Natural Host Populations.

Chloe A Fouilloux, Eric Neeno-Eckwall, Ipsita Srinivas, Jonathan S Compton, Josh Sampson, Jesse Weber, Cole Wolf, Amanda Hund, John Berini, Heather Alexander and 3 more

Abstract readEvaluation Study
In one paragraph

Article in Molecular ecology resources, 2025. 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

13 authors.

Chloe A FouillouxDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-1265-5824
Eric Neeno-EckwallDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ipsita SrinivasDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jonathan S ComptonDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Josh SampsonBiology Department, Carleton College, Northfield, Minnesota, USA.
Jesse WeberDepartment of Integrative Biology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Cole WolfDepartment of Integrative Biology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Amanda HundBiology Department, Carleton College, Northfield, Minnesota, USA.
John BeriniBiology Department, Carleton College, Northfield, Minnesota, USA.
Heather AlexanderBiology Department, Carleton College, Northfield, Minnesota, USA.
Emma ChoiDepartment of Ecology & Evolutionary Biology, University of Connecticut, Storrs, Connecticut, USA.
Daniel I BolnickDepartment of Ecology & Evolutionary Biology, University of Connecticut, Storrs, Connecticut, USA.
Jessica L HiteDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

Mining natural infection variation to find the genetic basis of coevolution between vertebrate hosts and helminth parasitesR35GM142891 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI WEBER, JESSE NATHANIEL · 2021 to 2025
$1.9M
Carleton College Career Center Summer Internship FundingNational Science Foundation 2207980National Science Foundation EEID 144-873100-4-AAL3614NIGMS NIH HHS 5R35GM142891-04NIGMS NIH HHS R35 GM142891University of Wisconsin, Madison 101-870663-4
6 · The paper itself

Abstract

Helminths infect humans, livestock, and wildlife, yet remain understudied despite their significant impact on public health and agriculture. Because many of the most prevalent helminth-borne diseases are zoonotic, understanding helminth transmission among wildlife could improve predictions and management of infection risks across species. A key challenge to understanding helminth transmission dynamics in wildlife is accurately and quantitatively tracking parasite load across hosts and environments. Traditional methods, such as visual parasite identification from environmental samples or infected hosts, are time-consuming, while standard molecular techniques (e.g., PCR and qPCR) often lack the sensitivity to reliably detect lower parasite burdens. These limitations can underestimate the prevalence and severity of infection, hindering efforts to manage infectious diseases. Here, we developed a multiplexed droplet digital PCR (ddPCR) assay to quantify helminth loads in aquatic habitats using 18S rRNA target genes. Using Schistocephalus solidus and their copepod hosts as a case study, we demonstrate ddPCR's sensitivity and precision. The assay is highly reproducible, reliably detecting target genes at concentrations as low as 1 pg of DNA in lab standards and field samples (multi-species and eDNA). Thus, we provide a toolkit for quantifying parasite load in intermediate hosts and monitoring infection dynamics across spatio-temporal scales in multiple helminth systems of concern for public health, agriculture, and conservation biology.

Indexed as

HelminthsParasite LoadPolymerase Chain ReactionAnimalsDNA, HelminthReproducibility of ResultsRNA, Ribosomal, 18SSensitivity and SpecificityDNA, HelminthRNA, Ribosomal, 18SddPCRhelminthhost–parasite interactionsNTDs

Identifiers

PMID40497385
PMCPMC12230807

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LicenceCC BY-NC
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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.