
The evolutionary basis for high species diversity in tropical regions of the world remains unresolved. Much research has focused on the biogeography of speciation in the Amazon Basin, which harbors the greatest diversity of terrestrial life. The leading hypotheses on allopatric diversification of Amazonian taxa are the Pleistocene refugia, marine incursion, and riverine barrier hypotheses. Recent advances in the fields of phylogeography and species-distribution modeling permit a modern re-evaluation of these hypotheses. Our approach combines comparative, molecular phylogeographic analyses using mitochondrial DNA sequence data with paleodistribution modeling of species ranges at the last glacial maximum (LGM) to test these hypotheses for three co-distributed species of leafcutter ants (Atta spp.). The cumulative results of all tests reject every prediction of the riverine barrier hypothesis, but are unable to reject several predictions of the Pleistocene refugia and marine incursion hypotheses. Coalescent dating analyses suggest that population structure formed recently (Pleistocene-Pliocene), but are unable to reject the possibility that Miocene events may be responsible for structuring populations in two of the three species examined. The available data therefore suggest that either marine incursions in the Miocene or climate changes during the Pleistocene--or both--have shaped the population structure of the three species examined. Our results also reconceptualize the traditional Pleistocene refugia hypothesis, and offer a novel framework for future research into the area.
Time Factors, Genetic Speciation, Marine geology, Science, Molecular Sequence Data, Population Dynamics, 590, Forests, Paleooceanography, Evolution, Molecular, Animals, Paleoclimatology, Phylogeny, Likelihood Functions, Geography, Models, Genetic, Ants, Q, R, Genetic Variation, Biodiversity, South America, Biological Evolution, Pleistocene epoch, Phylogeography, Genetics, Population, Interferon Type I, Medicine, Paleogenetics, Research Article
Time Factors, Genetic Speciation, Marine geology, Science, Molecular Sequence Data, Population Dynamics, 590, Forests, Paleooceanography, Evolution, Molecular, Animals, Paleoclimatology, Phylogeny, Likelihood Functions, Geography, Models, Genetic, Ants, Q, R, Genetic Variation, Biodiversity, South America, Biological Evolution, Pleistocene epoch, Phylogeography, Genetics, Population, Interferon Type I, Medicine, Paleogenetics, Research Article
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