The molecular biogeography of the Indo‐Pacific: Testing hypotheses with multispecies genetic patterns

  title={The molecular biogeography of the Indo‐Pacific: Testing hypotheses with multispecies genetic patterns},
  author={Eric D. Crandall and Cynthia Riginos and Christopher E. Bird and Libby Liggins and Eric A. Treml and Maria Beger and Paul H. Barber and Sean R. Connolly and Peter F. Cowman and Joseph D. DiBattista and Jeff A. Eble and Sharon F. Magnuson and John B. Horne and Marc Kochzius and Harilaos A. Lessios and Shang Yin Vanson Liu and William B. Ludt and Hawis Madduppa and John M. Pandolfi and Robert John Toonen and Michelle R. Gaither},
  journal={Global Ecology and Biogeography},
Aim: To test hypothesized biogeographic partitions of the tropical Indo-Pacific Ocean with phylogeographic data from 56 taxa, and to evaluate the strength and nature of barriers emerging from this test. Location: The Indo-Pacific Ocean. Time period: Pliocene through the Holocene. Major taxa studied: Fifty-six marine species. Methods: We tested eight biogeographic hypotheses for partitioning of the Indo-Pacific using a novel modification to analysis of molecular variance… 

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Molecular biogeography of the Pacific

  • S. Palumbi
  • Environmental Science, Biology
    Coral Reefs
  • 1997
Molecular genetic data from closely related, widely distributed species can help address biogeographic mechanisms by providing independent evidence for genetic boundaries between cryptic species, estimating species divergence times, and providing phylogenetic reconstructions of species divergence patterns.


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The strengths and omissions of currently published population genetic data for marine fauna of the Indo-Pacific region are considered, as well as the geographic and taxonomic scope of the data, and some ways forward for data collection and collation are suggested.

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It is shown that estimates of genetic structure have a stronger correlation to geographic distances than to "oceanographic" distances from a biophysical model of larval dispersal, reminding us that population genetic estimates of gene flow and genetic structure are often shaped by historical processes.

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