Daphnia species have become models for ecological genomics and exhibit interesting features, such as high phenotypic plasticity and a densely packed genome with many lineage-specific genes. They are also cyclic parthenogenetic, with alternating asexual and sexual cycles and environmental sex determination. Here, we present a de novo transcriptome assembly of over 32,000 D. galeata genes and use it to investigate gene expression in females and spontaneously produced males of two clonal lines derived from lakes in Germany and the Czech Republic. We find that only a low percentage (18%) of genes shows sex-biased expression and that there are many more female-biased gene (FBG) than male-biased gene (MBG). Furthermore, FBGs tend to be more conserved between species than MBGs in both sequence and expression. These patterns may be a consequence of cyclic parthenogenesis leading to a relaxation of purifying selection on MBGs. The two clonal lines show considerable differences in both number and identity of sex-biased genes, suggesting that they may have reproductive strategies differing in their investment in sexual reproduction. Orthologs of key genes in the sex determination and juvenile hormone pathways, which are thought to be important for the transition from asexual to sexual reproduction, are present in D. galeata and highly conserved among Daphnia species.

Among the most common forms of interaction between species are those between hosts and their parasites and they have important implications for evolutionary theory. Understanding both the phenotypic and genotypic processes governing such interactions is a major endeavour in biology, but is a complex and challenging task. The development of next generation sequencing technologies has recently opened up this field from a molecular perspective, allowing us access to the genomic data underlying laboratory or wild phenotypes. The data obtained from such technologies has many advantages over previous methods, such as being more abundant, often more accurate, less labour intensive to generate and more cost effective to produce. We present a review of the impact of next generation sequencing data on the study of host-parasite evolution and current topics being explored with this data. We focus on two main data types, genomic and transcriptomic. We discuss popular computational approaches which can help us characterise the molecular forces driving host-parasite systems and highlight some studies which have utilised such approaches to gain information about particular immune processes. We furthermore highlight some promising perspectives from emerging and new technologies which will allow researchers to reach a deeper understanding of these interactions.