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Species Delimitation Using Genomic Data: Options and Limitations.

Bernhard Hausdorf^1,2

¹Leibniz Institute for the Analysis of Biodiversity Change, Hamburg, Germany.

Molecular Ecology

|March 3, 2025

Summary

Genomic data and phylogenetic methods show limitations for species discovery and validation. Multispecies coalescent models over-split species, while population genetic approaches like STRUCTURE offer improvements but remain unsatisfactory for accurate species delimitation.

Keywords:

DNA taxonomy isolation by distance multispecies coalescent population genetics species delimitation species validation

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Published on: January 25, 2019

Area of Science:

Genomics
Evolutionary Biology
Taxonomy

Background:

Effective species discovery and validation using genomic data are crucial but underexplored.
Phylogenetic and population genetic approaches are key tools for understanding biodiversity.

Purpose of the Study:

To evaluate phylogenetic multispecies coalescent and population genetic approaches for species delimitation.
To assess the integration of geographic data for species validation.
To identify limitations and merits of different genomic methods for species discovery.

Main Methods:

Phylogenetic approaches based on the multispecies coalescent model (e.g., tr2, soda).
Population genetic approaches (e.g., STRUCTURE).
Integration of genomic and geographic data for species validation using isolation-by-distance tests.

Main Results:

Multispecies coalescent models (tr2, soda) led to significant over-splitting of species across four studied complexes.
Population genetic STRUCTURE analysis underestimated species numbers but showed higher congruence with current classifications than coalescent methods.
Species validation using isolation-by-distance tests can correct over-splitting if sufficient population data is available.

Conclusions:

Current genomic approaches, particularly multispecies coalescent models, have limitations in accurate species delimitation.
Population genetic methods offer improvements but require further refinement for robust species validation.
Optimal sampling design is critical for both species delimitation and validation using genomic data.