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Establishing DNA-Based Strategies for Soil Biodiversity Assessment: Insights From Carabid Beetles
Luísa Fraga Dornellas1, Vanessa A Mata2,3, Sara Mendes1
1Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences University of Coimbra Coimbra Portugal.
Ecology and Evolution
|November 10, 2025
Summary
Soil macroinvertebrate metabarcoding is efficient but species-level accuracy depends on reference databases. A common decontamination step is not essential and can be removed to streamline processing.
Area of Science:
- Ecology
- Molecular Biology
- Bioinformatics
Background:
- Molecular methods like DNA metabarcoding are crucial for soil biodiversity assessment.
- Protocol optimization and high-quality reference databases are essential for reliable large-scale application.
- Soil macroinvertebrate metabarcoding workflows require evaluation for accuracy and efficiency.
Purpose of the Study:
- To evaluate key steps in soil macroinvertebrate metabarcoding, focusing on sample decontamination and taxa recovery.
- To determine the impact of sample decontamination on operational taxonomic unit (OTU) richness.
- To validate species-level recovery efficiency using a mock community and compare metabarcoding with morphological identification.
Main Methods:
- DNA metabarcoding workflow analysis for soil macroinvertebrates.
- Spiking experiments with a mock community of carabid beetles.
- Comparison of molecular data with traditional morphological identification.
Main Results:
- The standard decontamination process showed no significant impact on OTU richness for soil macrofauna.
- Metabarcoding provided a more comprehensive overview of higher-level taxa compared to morphology.
- Species-level recovery accuracy was contingent on the quality and comprehensiveness of the reference database.
Conclusions:
- DNA metabarcoding is a time-efficient and cost-effective technique for macroinvertebrate assessment.
- Species-level resolution in metabarcoding is limited by the availability of curated barcode reference databases.
- An integrative approach combining molecular data with targeted validation ensures robust biodiversity assessments.

