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Updated: Feb 19, 2026

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

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Published on: March 19, 2018

Scoop That Poop: Optimising Faecal Sample Pre-Processing for Parasite Metabarcoding.

Madison E Patch¹, Graham B Goodman², Sara B Weinstein¹

¹Department of Biology, Utah State University, Logan, Utah, USA.

Molecular Ecology Resources

|February 17, 2026

Summary

This summary is machine-generated.

Parasite detection in horses is improved by concentrating samples before DNA analysis. Methods like larval coproculture and egg concentration reveal more species than direct DNA extraction from feces.

Keywords:

Nemabiome equid metabarcoding parasite wildlife

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Area of Science:

Veterinary Parasitology
Molecular Ecology
Wildlife Health

Background:

DNA metabarcoding is a key tool for parasite community analysis.
Limited research exists on how sample processing affects parasite detection rates.
Understanding these methods is crucial for accurate wildlife health assessments.

Purpose of the Study:

To evaluate the impact of pre-processing methods on parasite detection using horse fecal samples.
To assess how parasite density influences quantification of parasite richness and community composition.
To compare the efficacy of different sample preparation techniques for molecular parasite characterization.

Main Methods:

Analysis of free-roaming horse fecal samples.
Comparison of DNA extraction from direct fecal matter, larval coproculture, and a novel egg concentration method.
Quantification of parasite richness, community composition, and detection rates across methods.

Main Results:

Parasite concentration methods significantly increased detection rates, especially for low-level infections.
Larval coproculture and egg concentration detected approximately double the species and genera compared to direct fecal extraction.
While direct fecal subsamples showed lower richness, overall parasite communities remained comparable across methods.

Conclusions:

Sample concentration is vital for maximizing parasite detection in molecular studies.
The choice of method involves a trade-off between processing intensity, cost, and sensitivity.
The novel egg concentration method provides a balance of speed and high sensitivity for parasite detection.