Many animals, including the fruit fly, are sensitive to small differences in ambient temperature. The ability of Drosophila larvae to choose their ideal temperature (18°C) over other comfortable temperatures (19° to 24°C) depends on a thermosensory signaling pathway that includes a heterotrimeric guanine nucleotide-binding protein (G protein), a phospholipase C, and the transient receptor potential TRPA1 channel. We report that mutation of the gene (ninaE) encoding a classical G protein-coupled receptor (GPCR), Drosophila rhodopsin, eliminates thermotactic discrimination in the comfortable temperature range. This role for rhodopsin in thermotaxis toward 18°C was light-independent. Introduction of mouse melanopsin restored normal thermotactic behavior in ninaE mutant larvae. We propose that rhodopsins represent a class of evolutionarily conserved GPCRs that are required for initiating thermosensory signaling cascades.

Female eutherian mammals use X-chromosome inactivation (XCI) to epigenetically regulate gene expression from ~4% of genes. To quantitatively map the topography of XCI for defined cell types at single cell resolution, we have generated female mice that carry X-linked, Cre-activated, and nuclear-localized fluorescent reporters – GFP on one X-chromosome and tdTomato on the other. Using these reporters in combination with different Cre drivers we have defined the topographies of XCI mosaicism for multiple CNS cell types and of retinal vascular dysfunction in a model of Norrie Disease. Depending on cell type, fluctuations in the XCI mosaic are observed over a wide range of spatial scales, from neighboring cells to left vs. right sides of the body. These data imply a major role for XCI in generating female-specific, genetically directed, stochastic diversity in eutherian mammals on spatial scales that would be predicted to affect CNS function within and between individuals.

MicroRNAs (miRNAs) are endogenously expressed small noncoding RNAs. The genomic locations of animal miRNAs are significantly clustered in discrete loci. We found duplication and de novo formation were important mechanisms to create miRNA clusters and the clustered miRNAs tend to be evolutionarily conserved. We proposed a “functional co-adaptation” model to explain how clustering helps newly emerged miRNAs survive and develop functions. We presented evidence that abundance of miRNAs in the same clusters were highly correlated and those miRNAs exerted cooperative repressive effects on target genes in human tissues. By transfecting miRNAs into human and fly cells and extensively profiling the transcriptome alteration with deep-sequencing, we further demonstrated the functional co-adaptation between new and old miRNAs in the miR-17–92 cluster. Our population genomic analysis suggest that positive Darwinian selection might be the driving force underlying the formation and evolution of miRNA clustering. Our model provided novel insights into mechanisms and evolutionary significance of miRNA clustering.