Mitochondrial genomes suggest rapid evolution of dwarf California Channel Islands foxes (Urocyon littoralis)

PLoS One. 2015 Feb 25;10(2):e0118240. doi: 10.1371/journal.pone.0118240. eCollection 2015.

Abstract

Island endemics are typically differentiated from their mainland progenitors in behavior, morphology, and genetics, often resulting from long-term evolutionary change. To examine mechanisms for the origins of island endemism, we present a phylogeographic analysis of whole mitochondrial genomes from the endangered island fox (Urocyon littoralis), endemic to California's Channel Islands, and mainland gray foxes (U. cinereoargenteus). Previous genetic studies suggested that foxes first appeared on the islands >16,000 years ago, before human arrival (~13,000 cal BP), while archaeological and paleontological data supported a colonization >7000 cal BP. Our results are consistent with initial fox colonization of the northern islands probably by rafting or human introduction ~9200-7100 years ago, followed quickly by human translocation of foxes from the northern to southern Channel Islands. Mitogenomes indicate that island foxes are monophyletic and most closely related to gray foxes from northern California that likely experienced a Holocene climate-induced range shift. Our data document rapid morphological evolution of island foxes (in ~2000 years or less). Despite evidence for bottlenecks, island foxes have generated and maintained multiple mitochondrial haplotypes. This study highlights the intertwined evolutionary history of island foxes and humans, and illustrates a new approach for investigating the evolutionary histories of other island endemics.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • California
  • Cluster Analysis
  • Evolution, Molecular*
  • Foxes / classification
  • Foxes / genetics*
  • Genetic Variation
  • Genome, Mitochondrial*
  • Haplotypes
  • Islands
  • Molecular Sequence Data
  • Phylogeny

Associated data

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Grants and funding

This research was funded by the Smithsonian Grand Challenges Consortia (CAH, JEM, TCR, RCF, TSS, KR), the Cosmos Club Foundation (CAH), an Amazon Web Services Education Research Grant (CAH), a National Museum of Natural History small grant (CAH, TR, JEM), and the National Science Foundation Dissertation Improvement Grant (CAH) (BCS-1338773). Roche 454 Life Sciences (RCF, JEM, CAH) provided support with lab equipment and reagents that greatly enhanced the initial phase of this research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.