Speciation, population structure, and demographic history of the Mojave Fringe‐toed Lizard (Uma scoparia), a species of conservation concern

Abstract

The North American deserts were impacted by both Neogene plate tectonics and Quaternary climatic fluctuations, yet it remains unclear how these events influenced speciation in this region. We tested published hypotheses regarding the timing and mode of speciation, population structure, and demographic history of the Mojave Fringe‐toed Lizard (Uma scoparia), a sand dune specialist endemic to the Mojave Desert of California and Arizona. We sampled 109 individual lizards representing 22 insular dune localities, obtained DNA sequences for 14 nuclear loci, and found that U. scoparia has low genetic diversity relative to the U. notata species complex, comparable to that of chimpanzees and southern elephant seals. Analyses of genotypes using Bayesian clustering algorithms did not identify discrete populations within U. scoparia. Using isolation‐with‐migration (IM) models and a novel coalescent‐based hypothesis testing approach, we estimated that U. scoparia diverged from U. notata in the Pleistocene epoch. The likelihood ratio test and the Akaike Information Criterion consistently rejected nested speciation models that included parameters for migration and population growth of U. scoparia. We reject the Neogene vicariance hypothesis for the speciation of U. scoparia and define this species as a single evolutionarily significant unit for conservation purposes.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 24, 2014
Source ID
10.1002/ece3.1111

Entities

People

  • Andrew D. Gottscho
  • Sharyn B. Marks
  • W. Bryan Jennings

Organizations

  • Army Research Office
  • Bureau of Land Management
  • California State Polytechnic University, Humboldt
  • Joshua Tree National Park Association
  • University of California, Riverside

Tags

Fields of Study

  • Environmental science

Readers

  • Geotechnical Engineering.
  • Marine Mammal Biology
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Biotechnology
  • Biotechnology - Bioremediation