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Background: The production of multiple transcript isoforms from one gene is a major source of transcriptome complexity. RNA-Seq experiments, in which transcripts are converted to cDNA and sequenced, allow the resolution and quantification of alternative transcript isoforms. However, methods to analyze splicing are underdeveloped and errors resulting in incorrect splicing calls occur in every experiment., Results: We used RNA-Seq data to develop sequencing and aligner error models. By applying these error models to known input from simulations, we found that errors result from false alignment to minor splice motifs and antisense stands, shifted junction positions, paralog joining, and repeat induced gaps. By using a series of quantitative and qualitative filters, we eliminated diagnosed errors in the simulation, and applied this to RNA-Seq data from Drosophila melanogaster heads. We used high-confidence junction detections to specifically interrogate local splicing differences between transcripts. This method out-performed commonly used RNA-seq methods to identify known alternative splicing events in the Drosophila sex determination pathway. We describe a flexible software package to perform these tasks called Splicing Analysis Kit (Spanki), available at http://www.cbcb.umd.edu/software/spanki., Conclusions: Splice-junction centric analysis of RNA-Seq data provides advantages in specificity for detection of alternative splicing. Our software provides tools to better understand error profiles in RNA-Seq data and improve inference from this new technology. The splice-junction centric approach that this software enables will provide more accurate estimates of differentially regulated splicing than current tools.

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.

Both genome content and deployment contribute to phenotypic differences between species. Sex is the most important difference between individuals in a species and has long been posited to be rapidly evolving. Indeed, in the Drosophila genus, traits such as sperm length, genitalia, and gonad size are the most obvious differences between species. Comparative analysis of sex-biased expression should deepen our understanding of the relationship between genome content and deployment during evolution. Using existing and newly assembled genomes, we designed species-specific microarrays to examine sex-biased expression of orthologues and species-restricted genes in D. melanogaster, D. simulans, D. yakuba, D. ananassae, D. pseudoobscura, D. virilis and D. mojavensis. We show that averaged sex-biased expression changes accumulate monotonically over time within the genus. However, different genes contribute to expression variance within species groups compared to between groups. We observed greater turnover of species-restricted genes with male-biased expression, indicating that gene formation and extinction may play a significant part in species differences. Genes with male-biased expression also show the greatest expression and DNA sequence divergence. This higher divergence and turnover of genes with male-biased expression may be due to high transcription rates in the male germline, greater functional pleiotropy of genes expressed in females, and/or sexual competition.

X chromosomes evolve differently from autosomes, but general governing principles have not emerged. For example, genes with male-biased expression are under-represented on the X chromosome of D. melanogaster, but are randomly distributed in the genome of Anopheles gambiae. In direct global profiling experiments using species-specific microarrays, we find a nearly identical paucity of genes with male-biased expression on D. melanogaster, D. simulans, D. yakuba, D. ananassae, D. virilis and D. mojavensis X chromosomes. We observe the same under-representation on the neo-X of D. pseudoobscura. It has been suggested that precocious meiotic silencing of the X chromosome accounts for reduced X chromosome male-biased expression in nematodes, mammals and Drosophila. We show that X chromosome genes with male-biased expression are under-represented in somatic cells and in mitotic male germ cells. These data are incompatible with simple X chromosome inactivation models. Using expression profiling and comparative sequence analysis, we show that selective gene extinction on the X chromosome, creation of new genes on autosomes and changed genomic location of existing genes contribute to the unusual X chromosome gene content.

Retroposition is increasingly recognized as an important mechanism for the acquisition of new genes. We show that a glycogen synthase kinase-3 gene, shaggy (sgg), retroposed at least 50 MYA in the Drosophila genus to generate a new gene, mojoless (mjl). We have extensively analyzed the function of mjl and examined its functional divergence from the parental gene sgg in Drosophila melanogaster. Unlike Sgg, which is expressed in many tissues of both sexes, Mjl is expressed specifically in the male germ line, where it is required for male germ line survival. Our analysis indicates that mjl has acquired a specific function in the maintenance of male germ line viability. However, it has not completely lost its ancestral biochemical function and can partially compensate for loss of the parental gene sgg when ectopically expressed in somatic cells. We postulate that mjl has undergone functional diversification and is now under stabilizing selection in the Drosophila genus.