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StrataSeq: A Workflow for Rapid Development of Molecular Databases for Hard-To-Identify Species.

Anna K Merges1,2,3, Peter Manning2,4, Dennis Baulechner5

  • 1Institute of Insect Biotechnology Justus-Liebig University Giessen Germany.

Ecology and Evolution
|October 27, 2025
PubMed
Summary

Biodiversity monitoring of small organisms is challenging. The StrataSeq workflow efficiently builds DNA reference databases, reducing effort and improving species identification for better ecological research.

Keywords:
DNA reference databasebiodiversity monitoringhabitat‐stratified samplingmorphological identificationmorphospeciesspecies turnover

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Area of Science:

  • Ecology
  • Genomics
  • Taxonomy

Background:

  • Biodiversity loss requires enhanced monitoring of small, species-rich taxa.
  • Traditional biomonitoring methods are often infeasible for these taxa due to morphological complexity and limited taxonomic expertise.
  • DNA-based identification offers rapid species identification but relies on complete molecular reference databases, which are often lacking for remote regions.

Purpose of the Study:

  • To introduce the StrataSeq workflow, a systematic approach to optimize the generation of DNA reference databases for challenging-to-identify taxa.
  • To connect molecular operational taxonomic units to existing taxonomic information through reference sequences.
  • To improve the cost-effectiveness and scalability of biodiversity monitoring and ecological research.

Main Methods:

  • Habitat-stratified sample subsetting to select ecologically representative samples along environmental gradients.
  • Prioritizing morphospecies based on occurrence to focus identification efforts on common taxa.
  • Detailed morphological identification and reference DNA sequence generation for taxa lacking molecular references, with specimens deposited as museum vouchers.

Main Results:

  • The StrataSeq workflow captured 69% of species while requiring only 22% of the effort compared to traditional methods.
  • Demonstrated efficiency in generating DNA reference databases for Collembola (springtails) in grassland soils.
  • The workflow is adaptable to various organism groups and environmental settings.

Conclusions:

  • StrataSeq enhances the cost-effectiveness of generating DNA reference databases, supporting improved biodiversity monitoring.
  • The workflow offers a scalable solution to accelerate the completion of molecular databases for better ecosystem assessments.
  • StrataSeq facilitates improved biomonitoring and ecological research under global change pressures.