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A genomic evaluation of taxonomic trends through time in coast horned lizards (genus Phrynosoma )
Author(s) -
Leaché Adam D.,
McElroy Matthew T.,
Trinh Anna
Publication year - 2018
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.14715
Subject(s) - biology , ecology , taxon , range (aeronautics) , population , coalescent theory , species distribution , evolutionary biology , habitat , phylogenetics , biochemistry , materials science , demography , sociology , gene , composite material
Abstract Determining the boundaries between species and deciding when to describe new species are challenging practices that are particularly difficult in groups with high levels of geographic variation. The coast horned lizards ( Phrynosoma blainvillii , Phrynosoma cerroense and P. coronatum ) have an extensive geographic distribution spanning many distinctive ecological regions ranging from northern California to the Cape Region of Baja California, Mexico, and populations differ substantially with respect to external morphology across much of this range. The number of taxa recognized in the group has been reevaluated by herpetologists over 20 times during the last 180 years, and typically without the aid of explicit species delimitation methods, resulting in a turbulent taxonomy containing anywhere from one to seven taxa. In this study, we evaluate taxonomic trends through time by ranking 15 of these species delimitation models ( SDM s) using coalescent analyses of nuclear loci and SNP s in a Bayesian model comparison framework. Species delimitation models containing more species were generally favoured by Bayesian model selection; however, several three‐species models outperformed some four‐ and five‐species SDM s, and the top‐ranked model, which contained five species, outperformed all SDM s containing six species. Model performance peaked in the 1950s based on marginal likelihoods estimated from nuclear loci and SNP s. Not surprisingly, SDM s based on genetic data outperformed morphological taxonomies when using genetic data alone to evaluate models. The de novo estimation of population structure favours a three‐population model that matches the currently recognized integrative taxonomy containing three species. We discuss why Bayesian model selection might favour models containing more species, and why recognizing more than three species might be warranted.

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