Multi-locus species delimitation in closely related animals and fungi: One marker is not enough

Julian R. Dupuis, Amanda D. Roe, Felix A.H. Sperling

Research output: Contribution to journalReview articlepeer-review

269 Scopus citations

Abstract

Despite taxonomy's 250-year history, the past 20 years have borne witness to remarkable advances in technology and techniques, as well as debate. DNA barcoding has generated a substantial proportion of this debate, with its proposition that a single mitochondrial sequence will consistently identify and delimit species, replacing more evidence-rich and time-intensive methods. Although mitochondrial DNA (mtDNA) has since been the focus of voluminous discussion and case studies, little effort has been made to comprehensively evaluate its success in delimiting closely related species. We have conducted the first broadly comparative literature review addressing the efficacy of molecular markers for delimiting such species over a broad taxonomic range. By considering only closely related species, we sought to avoid confusion of success rates with those due to deeply divergent taxa. We also address whether increased population-level or geographic sampling affects delimitation success. Based on the results from 101 studies, we found that all marker groups had approximately equal success rates (∼70%) in delimiting closely related species and that the use of additional loci increased average delimitation success. We also found no relationship between increased sampling of intraspecific variability and delimitation success. Ultimately, our results support a multi-locus integrative approach to species delimitation and taxonomy.

Original languageEnglish
Pages (from-to)4422-4436
Number of pages15
JournalMolecular Ecology
Volume21
Issue number18
DOIs
StatePublished - Sep 2012

Keywords

  • DNA barcoding
  • Species identification
  • X-linked
  • geographic sampling
  • mitochondrial DNA
  • taxonomy

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics

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