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Updated: Jan 18, 2026

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Robust DNA Isolation and High-throughput Sequencing Library Construction for Herbarium Specimens
Published on: March 8, 2018
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Robust, Open-Source and Automation-Friendly DNA Extraction Protocol for Hologenomic Research
Jonas G Lauritsen1, Christian Carøe1, Nanna Gaun1
1Centre for Evolutionary Hologenomics (CEH), Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Molecular Ecology Resources
|September 9, 2025
Summary
We developed a new open-source nucleic acid extraction method for vertebrate fecal samples. This standardized, high-throughput protocol (DREX) generates comparable genomic and metagenomic data, improving research reproducibility.
Area of Science:
- Genomics and Microbiology
- Bioinformatics and Computational Biology
Background:
- Standardized methodologies are crucial for generating comparable data in global research efforts.
- Open-source procedures facilitate data standardization and reproducibility.
Purpose of the Study:
- To present a modular, high-throughput nucleic acid extraction protocol (DREX) standardized within the Earth Hologenome Initiative.
- To enable the generation of both genomic and microbial metagenomic data from vertebrate fecal samples.
Main Methods:
- The DREX protocol allows purification of RNA and DNA in separate fractions (DREX1) or as total nucleic acids (DREX2).
- Effectiveness was demonstrated across fecal samples from amphibians, reptiles, and mammals.
- Performance was benchmarked against a widely used commercial kit for microbiome research.
Main Results:
- Both DREX1 and DREX2 yielded highly similar microbial community profiles and comparable host genome coverages.
- The method showed effectiveness across various vertebrate taxa, with reduced performance on bird guano.
- Benchmarking confirmed comparable recovery of host genomic data and microbial community complexity versus a commercial kit.
Conclusions:
- The open-source DREX method is a robust, cost-effective, scalable, and automation-friendly procedure for high-quality hologenomic data generation.
- It enhances research comparability and reproducibility through standardized, high-throughput, open-access protocols.
- The modular design supports integration into automated pipelines and continuous improvement.
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