Self-replication: Nanostructure evolution

From self-replication to replicator systems en route to de novo life

The process by which chemistry can give rise to biology remains one of the biggest mysteries in contemporary science. The de novo synthesis and origin of life both require the functional integration of three key characteristics - replication, metabolism and compartmentalization - into a system that is maintained out of equilibrium and is capable of open-ended Darwinian evolution. This Review takes systems of self-replicating molecules as starting points and describes the steps necessary to integrate additional characteristics of life. We analyse how far experimental self-replicators have come in terms of Darwinian evolution. We also cover models of replicator communities that attempt to solve Eigen's paradox, whereby accurate replication needs complex machinery yet obtaining such complex self-replicators through evolution requires accurate replication. Successful models rely on a collective metabolism and a way of (transient) compartmentalization, suggesting that the invention and integration of these two characteristics is driven by evolution. Despite our growing knowledge, there remain numerous key challenges that may be addressed by a combined theoretical and experimental approach.

Remote Electronic Control of DNA-Based Reactions and Nanostructure Assembly

The use of synthetic DNA to design and build molecular machines and well-defined structures at the nanoscale has greatly impacted the field of nanotechnology. Here we expand the current toolkit in this field by demonstrating an efficient, quantitative, and versatile approach that allows us to remotely control DNA-based reactions and DNA nanostructure self-assembly using electronic inputs. To do so we have deposited onto the surface of disposable chips different DNA input strands that upon the application of a cathodic potential can be desorbed in a remote and controlled way and trigger DNA-based reactions and DNA nanostructure self-assembly. We demonstrate that this effect is specific and versatile and allows the orthogonal control of multiple reactions and multiple structures in the same solution. Moreover, the strategy is highly tunable and can be finely modulated by varying the cathodic potential, the period of applied potential, and the density of the DNA strand on the chip surface. Our approach thus represents a versatile way to remotely control DNA-based circuits and nanostructure assembly and can allow new possible applications of DNA-based nanotools.