Re-annotation of eight Drosophila genomes.

The sequenced genomes of the Drosophila phylogeny are a central resource for comparative work supporting the understanding of the Drosophila melanogaster non-mammalian model system. These have also facilitated evolutionary studies on the selected and random differences that distinguish the thousands of extant species of Drosophila. However, full utility has been hampered by uneven genome annotation. We have generated a large expression profile dataset for nine species of Drosophila and trained a transcriptome assembly approach on D. melanogaster that best matched the extensively curated annotation. We then applied this to the other species to add more than 10000 transcript models per species. We also developed new orthologs to facilitate cross-species comparisons. We validated the new annotation of the distantly related Drosophila grimshawi with an extensive collection of newly sequenced cDNAs. This re-annotation will facilitate understanding both the core commonalities and the species differences in this important group of model organisms, and suggests a strategy for annotating the many forthcoming genomes covering the tree of life.

Contrasting patterns of phylogeographic relationships in sympatric sister species of ironclad beetles (Zopheridae: Phloeodes spp.) in California's Transverse Ranges.

BACKGROUND: Comparative phylogeography of sympatric sibling species provides an opportunity to isolate the effects of geography and demographics on the evolutionary history of two lineages over the same, known time scale. In the current study, we investigated the phylogeographic structure of two zopherid beetle species, Phloeodes diabolicus and P. plicatus, where their ranges overlap in California's Transverse Ranges. RESULTS: Although P. diabolicus and P. plicatus share similar habitats with largely overlapping distributions, the results of this study revealed different evolutionary histories for each species since divergence from their most recent common ancestor. In general, P. plicatus had higher genetic diversity, and more among population isolation than P. diabolicus. The mismatch distributions indicated that one major difference between the two species was the timing of population expansion. This result was consistent with genetic patterns revealed by the Phist values and genetic diversity. Lastly, there were no parallel genetic breaks at similar geographic barriers between the species. CONCLUSIONS: Our data revealed that differential demographics rather than geography were responsible for the genetic patterns of the two species.

The interface between phylogenetics and population genetics: investigating gene trees, species trees, and population dynamics in the Phyllophaga fraterna species group.

This study uses traditional and contemporary phylogenetic and population genetic analyses to assess the causes of discordance (i.e., lineage sorting and introgression) among mitochondrial and nuclear gene trees for a clade of eastern North American scarab beetles (fraterna species group, genus Phyllophaga). I estimated gene trees using individual and combined analysis of one mitochondrial and two nuclear loci in MrBayes, and inferred a species tree using a hierarchical coalescent approach based on all loci in the program Best. Because hybridization violates the assumptions of BEST, I tested for introgression by comparing species monophyly between the mitochondrial and nuclear gene trees based on the prediction that cytoplasmic genomes introgress more readily than nuclear genomes. Haplotype exclusivity was identified using Bayesian tests of monophyly and the genealogical sorting index. I used the results of the phylogenetic analyses and monophyly tests to develop an explicit hypothesis of introgression that could be tested in the program IMa. Results from these analyses provided evidence for introgression across clades within the fraterna group. The tiered analytical approach used in this study demonstrated how the use of multiple methods can identify when assumptions are violated and methods are prone to yield misleading results.