Abstract
BackgroundMultilocus data are becoming increasingly important in determining the phylogeny of closely related species and delimiting species. In species complexes where unequivocal fossil calibrations are not available, rigorous dating of the coalescence-based species trees requires accurate mutation rates of the loci under study but, generally, these rates are unknown. Here, we obtained lineage-specific mutation rates of these loci from a higher-level phylogeny with a reliable fossil record and investigated how different choices of mutation rates and species tree models affected the split time estimates. We implemented this strategy with a genus of water shrews, Neomys, whose taxonomy has been contentious over the last century.ResultsWe sequenced 13 introns and cytochrome b from specimens of the three species currently recognized in this genus including two subspecies of N. anomalus that were originally described as species. A Bayesian multilocus species delimitation method and estimation of gene flow supported that these subspecies are distinct evolutionary lineages that should be treated as distinct species: N. anomalus (sensu stricto), limited to part of the Iberian Peninsula, and N. milleri, with a larger Eurasian range. We then estimated mutation rates from a Bayesian relaxed clock analysis of the mammalian orthologues with several fossil calibrations. Next, using the estimated Neomys-specific rates for each locus in an isolation-with-migration model, the split time for these sister taxa was dated at 0.40 Myr ago (with a 95 % confidence interval of 0.26 – 0.86 Myr), likely coinciding with one of the major glaciations of the Middle Pleistocene. We also showed that the extrapolation of non-specific rates or the use of simpler models would lead to very different split time estimates.ConclusionsWe showed that the estimation of rigorous lineage-specific mutation rates for each locus allows the inference of robust split times in a species tree framework. These times, in turn, afford a better understanding of the timeframe required to achieve isolation and, eventually, speciation in sister lineages. The application of species delimitation methods and an accurate dating strategy to the genus Neomys helped to clarify its controversial taxonomy.Electronic supplementary materialThe online version of this article (doi:10.1186/s12862-015-0485-z) contains supplementary material, which is available to authorized users.
Highlights
Multilocus data are becoming increasingly important in determining the phylogeny of closely related species and delimiting species
We tested a strategy in which lineage-specific mutation rates of the nuclear genes are estimated from a relaxed clock analysis of the same genes in a tree of mammals that included a set of reliable fossil calibrations
We showed here that the estimation of specific mutation rates for each locus and for the lineage of interest is a crucial aspect of a robust dating strategy since the extrapolation of mutation rates from other mammalian groups and loci may lead to very different split time estimates
Summary
Multilocus data are becoming increasingly important in determining the phylogeny of closely related species and delimiting species. We obtained lineage-specific mutation rates of these loci from a higherlevel phylogeny with a reliable fossil record and investigated how different choices of mutation rates and species tree models affected the split time estimates We implemented this strategy with a genus of water shrews, Neomys, whose taxonomy has been contentious over the last century. The formal species delimitation test implemented in the BPP program allows posterior probabilities to be determined for one-species and two-species models successively applied to sister lineages within a phylogeny [2, 9] These methods to identify distinct evolutionary lineages rely on the use of multiple loci and do not employ any kind of time calibration for the species delimitation tests. Different speciation scenarios could be evaluated and the factors that promoted speciation could be disentangled
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