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Biogeographic inferences across spatial and evolutionary scales.

Van Wishingrad1,2, Robert C Thomson1

  • 1School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.

Molecular Ecology
|January 25, 2023
PubMed
Summary

Landscape genetics and phylogeography reveal consistent patterns of population structure in the western fence lizard. River valleys act as key corridors, shaping genetic variation across different spatial and evolutionary scales.

Keywords:
Isolation by resistance (IBR)climateddRADelevationgenomicsphylogeneticsreptiletopographyvegetation

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Area of Science:

  • Biogeography
  • Evolutionary Biology
  • Population Genetics

Background:

  • Biogeography integrates landscape genetics (recent, small-scale) and phylogeography (deep past, large-scale).
  • Understanding the interplay between these methods is crucial for ecological and evolutionary insights.

Purpose of the Study:

  • To evaluate the concordance between landscape genetics and phylogeographical methods.
  • To investigate how geographical scale influences population genetics inferences.
  • To use the western fence lizard (Sceloporus occidentalis) as a model system.

Main Methods:

  • Conducted replicated landscape genetics studies across varying geographical scales.
  • Performed phylogeographical analyses of population structure at two evolutionary scales.
  • Informed phylogeographical scales based on landscape genetics findings.

Main Results:

  • Significant concordance between landscape genetics and phylogeography was observed across most scales.
  • Phylogeography revealed major clades restricted to river drainages and hydrological regions.
  • Recent evolutionary timescales showed minor clades often confined to single river canyons.

Conclusions:

  • Stream and river valleys consistently emerge as critical landscape features linking populations.
  • Phylogeographical results demonstrate strong clade specificity within major topographic divisions.
  • Synthesizing landscape genetics and phylogeography enhances understanding of genetic variation across space and time.