Zarza, E. | Search bioRxiv

bioRxiv2018

A prior-based approach for hypothesis comparison and its utility to discern among temporal scenarios of divergence

One of the major problems in evolutionary biology is to elucidate the relationships between historical events and the tempo and mode of lineage divergence. The development of relaxed molecular clock models and the increasing availability of DNA sequences resulted in more accurate estimations of taxa divergence times. However, finding the link between competing historical events and divergence is still challenging. Here we investigate assigning constrained-age priors to nodes of interest in a time-calibrated phylogeny as a means of hypothesis comparison. These priors are equivalent to historic scenarios for lineage origin. The hypothesis that best explains the data can be selected by comparing the likelihood values of the competing hypotheses, modelled with different priors. A simulation approach was taken to evaluate the performance of the prior-based method and to compare it with an unconstrained approach. We explored the effect of DNA sequence length and the temporal placement and span of competing hypotheses (i.e. historic scenarios) on selection of the correct hypothesis and the strength of the inference. Competing hypotheses were compared applying a posterior simulation analogue of the Akaike Information Criterion and Bayes factors (obtained after calculation of the marginal likelihood with three estimators: Harmonic Mean, Stepping Stone and Path Sampling). We illustrate the potential application of the prior-based method on an empirical data set to compare competing geological hypotheses explaining the biogeographic patterns in Pleurodeles newts. The correct hypothesis was selected on average 89% times. The best performance was observed with DNA sequence length of 3500-10000 bp. The prior-based method is most reliable when the hypotheses compared are not temporally too close. The strongest inferences were obtained when using the Stepping Stone and Path Sampling estimators. The prior-based approach proved effective in discriminating between competing hypotheses when used on empirical data. The unconstrained analyses performed well but it probably requires additional computational effort. Researchers applying this approach should rely only on inferences with moderate to strong support. The prior-based approach could be applied on biogeographical and phylogeographical studies where robust methods for historical inferences are still lacking.

evolutionary biology↗

bioRxiv2017

Bridging multilocus species delimitation and DNA barcoding through target enrichment of UCEs: A case study with Mexican highland frogs

Recently, molecular studies have uncovered significant cryptic diversity in the Mexican Highlands, leading to the description of many new endemic species. DNA approaches to this kind of species discovery have included both mitochondrial DNA (mtDNA) sequencing and multilocus genomic methods. While these marker types have often been pitted against one another, there are benefits to deploying them together, as linked mtDNA data can provide the bridge between uncovering lineages through rigorous multilocus genomic analysis and identifying lineages through comparison to existing mtDNA databases. Here, we apply one class of multilocus genomic marker, ultraconserved elements (UCEs), and linked mtDNA data to a species complex of frogs (Sarcohyla bistincta) found in the Mexican Highlands. We generated data from 1,891 UCEs, which contained 1,742 informative SNPs for S. bistincta and closely related species and captured mitochondrial genomes for most samples. Genetic analyses based on both whole loci and SNPs agree there are numerous distinct and divergent lineages within S. bistincta. The SNP-based species tree provides the most conservative estimate of 8 well-supported lineages in three major clades. Having linked mtDNA data allowed us to tap into the large number of mtDNA sequences available on GenBank and identify one of these lineages as an already-described species, S. pentheter. One identified clade (containing 2 of the 8 lineages) was 10% divergent in mtDNA and paraphyletic with other S. bistincta, making this clade a clear candidate for species status. Phylogenies from UCEs and mtDNA mostly agreed in their topologies, but differed in that mtDNA suggested a more complex evolutionary history perhaps influenced by gene flow between some neighboring lineages. Our study demonstrates that the Mexican Highlands still hold substantial undescribed diversity. Combining multilocus genomic data with linked mtDNA data is a useful approach for identifying potential new species and associating them with already described taxa, which is especially important in groups with undescribed subadult phenotypes, where geographic ranges are unclear, or where phenotypes are conserved.

evolutionary biology↗