Testing nested phylogenetic and phylogeographic hypotheses in the Plethodon vandykei species group.
Mesic forests in the North American Pacific Northwest occur in two disjunct areas: along the coastal and Cascade ranges of Oregon, Washington, and British Columbia as well as the Northern Rocky Mountains of Idaho, Montana, and British Columbia. Over 150 species or species complexes have disjunct populations in each area, and a priori hypotheses based on phytogeography and geology potentially explain the disjunction via either dispersal or vicariance. Here, we test these hypotheses in the disjunct salamander complex Plethodon vandykei and P. idahoensisby collecting genetic data (669 bp of Cyt b) from 262 individuals. Maximum likelihood analysis indicated reciprocal monophyly of these species, supporting the ancient vicariance hypothesis, whereas parametric bootstrap and Bayesian hypothesis testing allow rejection of the dispersal hypothesis. The coalescent estimate of the time since population divergence (estimated using MDIV) is 3.75 x 106 years, and the 95%credibility interval of this value overlaps with the geological estimate of vicariance, but not the hypothesized dispersal. These results are congruent with the pattern seen in other mesic forest amphibian lineages and suggest disjunction in amphibians may be a concerted response to a geological/climatological event. WithinP. idahoensis, we tested the corollary hypothesis of an inland Pleistocene refugium in the Clearwater drainage with nested clade analysis and coalescent estimates of population growth rate (g). Both analyses support post-Pleistocene expansion from the Clearwater refugium. We corroborated this result by calculating Tajima's Dand mismatch distribution within each drainage, showing strong evidence for recent population expansion within most drainages. This work demonstrates the utility of statistical phylogeography and contributes two novel analytical tools: tests of stationarity with respect to topology in the Bayesian estimation, and the use of coalescent simulations to test the significance of the population growth-rate parameter.
Carstens
Bryan C
BC
Department of Biological Sciences, Moscow, Idaho 83844-3051, USA. cars5766@uidaho.edu
Stevenson
Angela L
AL
Degenhardt
Jeremiah D
JD
Sullivan
Jack
J
D000704:Analysis of Variance; D000818:Animals; D001483:Base Sequence; D001499:Bayes Theorem; D001955:British Columbia; D003198:Computer Simulation; D017931:DNA Primers; D003710:Demography; D004777:Environment; D019143:Evolution, Molecular; D014644:Genetic Variation; D005843:Geography; D055593:Geological Phenomena; D005844:Geology; D016013:Likelihood Functions; D008957:Models, Genetic; D008969:Molecular Sequence Data; D015205:Northwestern United States; D010802:Phylogeny; D011157:Population Dynamics; D017422:Sequence Analysis, DNA; D013045:Species Specificity; D014562:Caudata / Q000235:genetics*
D017931:DNA Primers