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Related Experiment Video

Updated: Oct 24, 2025

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

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

Published on: March 19, 2018

Towards reproducible metabarcoding data: Lessons from an international cross-laboratory experiment.

Anastasija Zaiko^1,2, Paul Greenfield^3,4, Cathryn Abbott⁵

¹Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand.

Molecular Ecology Resources

|August 16, 2021

Summary

This summary is machine-generated.

High-throughput sequencing (HTS) revolutionizes marine biodiversity assessment. Despite lab variations, HTS metabarcoding accurately identifies species and geographic origins, aiding future standardization efforts.

Keywords:

18S ribosomal rRNA (18S rRNA)high-throughput sequencing metabarcoding mitochondrial cytochrome c oxidase subunit 1 (COI)reproducibility standardization

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Area of Science:

Marine biology
Genomics
Environmental monitoring

Background:

High-throughput sequencing (HTS) offers rapid, holistic species detection in marine environments.
HTS is increasingly used for biodiversity assessments globally.
Variability in lab procedures and bioinformatics hinders result comparability.

Purpose of the Study:

To assess the consistency of metabarcoding results using identical samples and primers across different laboratory procedures.
To identify critical methodological factors causing variability in HTS biodiversity assessments.

Main Methods:

An international experiment distributed identical biofouling samples to 12 labs.
Labs used one of two HTS library preparation workflows with standardized DNA extraction, primers, and bioinformatics.
Technical variables like amplification protocols and instruments were allowed to vary.

Main Results:

Despite raw data variation, samples consistently grouped by geographical origin.
Post hoc data cleanup improved classification: 92.81% for 18S rRNA and 95.58% for COI after contamination correction.
Preservation buffer, sample defrosting, and PCR components were key variability factors.

Conclusions:

HTS metabarcoding shows robust geographic signal despite methodological variations.
Standardizing critical factors like preservation and PCR reagents is essential for reliable marine biodiversity monitoring.
This study provides a foundation for harmonizing HTS protocols in ecological research.