RNA-Guided Genome Editing

Ciliates have evolved highly complex and intricately controlled pathways to ensure the precise and complete removal of all genomic sequences not required for vegetative growth. At the same time, they retain a reference copy of all their genetic information for future generations. This chapter describes how different ciliates use RNA-mediated DNA comparison processes to form new somatic nuclei from germline nuclei. While these processes vary in their precise mechanisms, they all use RNA to target genomic DNA sequences—either for retention or elimination. They also all consist of more than one individual pathway acting cooperatively—the two subsets of small RNAs in Paramecium and the guide RNAs and Piwi-interacting RNAs in Oxytricha—to ensure a strong belt-and-braces approach to consistent and precise somatic nucleus development. Nonetheless, this genome comparison approach to somatic nucleus development provides an elegant method for trans-generational environmental adaptation. Conceptually, it is easy to imagine how somatic changes that occur during vegetative growth could be transferred to meiotic offspring, while an unaltered germline genome is retained. Further research in this area will have far-reaching implications for the trans-generational adaptation of more distantly related eukaryotes, such as humans.

Bilayer Blind Deconvolution with the Light Field Camera

In this paper we propose a solution to blind deconvolution of a scene with two layers (foreground/background). We show that the reconstruction of the support of these two layers from a single image of a conventional camera is not possible. As a solution we propose to use a light field camera. We demonstrate that a single light field image captured with a Lytro camera can be successfully deblurred. More specifically, we consider the case of space-varying motion blur, where the blur magnitude depends on the depth changes in the scene. Our method employs a layered model that handles occlusions and partial transparencies due to both motion blur and out of focus blur of the plenoptic camera. We reconstruct each layer support, the corresponding sharp textures, and motion blurs via an optimization scheme. The performance of our algorithm is demonstrated on synthetic as well as real light field images.