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Related Experiment Video

Updated: Dec 5, 2025

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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ASAP: assemble species by automatic partitioning.

Nicolas Puillandre1, Sophie Brouillet1, Guillaume Achaz1,2,3

  • 1Institut Systématique Evolution Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France.

Molecular Ecology Resources
|October 15, 2020
PubMed
Summary
This summary is machine-generated.

Assemble Species by Automatic Partitioning (ASAP) is a new, rapid method for species delimitation using DNA barcode data. It efficiently partitions large datasets into putative species, aiding taxonomic research.

Keywords:
ABGDASAPDNA barcodingintegrative taxonomyspecies delimitation

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Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Species delimitation is crucial for taxonomy but can be computationally intensive.
  • Existing methods may struggle with large datasets or require prior biological knowledge.

Purpose of the Study:

  • Introduce Assemble Species by Automatic Partitioning (ASAP), a novel computational method for species partitioning.
  • To provide a rapid, efficient, and user-friendly tool for DNA barcode data analysis.

Main Methods:

  • ASAP employs a hierarchical clustering algorithm using pairwise genetic distances, bypassing phylogenetic reconstruction.
  • It utilizes a novel scoring system for ranking species partitions, independent of intraspecific diversity assumptions.
  • The method is available as a stand-alone program with a graphical web interface or for local compilation.

Main Results:

  • ASAP efficiently partitions large sequence datasets (up to 10^4 sequences) into putative species within minutes.
  • Comparative analyses with ABGD, PTP, and GMYC on real and simulated data demonstrate ASAP's performance.
  • ASAP provides ranked species hypotheses, facilitating the initial stages of integrative taxonomy.

Conclusions:

  • ASAP offers a computationally efficient and robust approach to species delimitation from barcode data.
  • Its speed and ease of use make it a valuable tool for taxonomists and biodiversity researchers.
  • ASAP has the potential to become a standard tool for generating species hypotheses in taxonomic workflows.