Analytical approaches to subspecies delimitation with genetic data

TitleAnalytical approaches to subspecies delimitation with genetic data
Publication TypeJournal Article
Year of Publication2017
AuthorsMartien K.K, Leslie MS, Taylor BL, Morin PA, Archer FI, Hancock-Hanser BL, Rosel P.E, Vollmer N.L, Viricel A., Cipriano F.
JournalMarine Mammal Science
Volume33
Pagination27-55
Date Published2017/06
Type of ArticleReview
ISBN Number0824-0469
Accession NumberWOS:000403798100003
Keywordsanalytical methods; cetacean taxonomy; differentiation measure; divergence; genetic; genetic differentiation; humpback whales; maximum-likelihood-estimation; mitochondrial-dna; multilocus genotype data; north pacific; population-structure; single-nucleotide polymorphisms; species delimitation; subspecies definition; whales orcinus-orca
Abstract

The vast and remote distributions and large body size of most cetaceans make it difficult to obtain and maintain morphological collections adequate for advancing sound taxonomic arguments. Consequently, genetic data are playing an increasingly important role in cetacean species and subspecies delimitation. We review seven categories of analytical methods useful in delimiting subspecies based on genetic data. For each category, we summarize its utility in evaluating putative subspecies, the types of markers to which it can be applied, and potential challenges in interpreting results in a taxonomic context. We focus on the utility of each type of method to evaluate the critical features distinguishing subspecies from populations and species: the degree of diagnosability between putative taxa and the extent to which the putative taxa have diverged along separate evolutionary pathways. We conclude that diagnosability is best estimated with either assignment tests or multivariate methods, while evaluating the degree of divergence requires a synthesis of multiple lines of evidence derived from different analytical methods and different data types, including nongenetic data.

DOI10.1111/mms.12409
Short TitleMar. Mamm. Sci.
Student Publication: 
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