The process of optimizing
the properties of biological molecules
is paramount for many industrial and medical applications. Directed
evolution is a powerful technique for modifying and improving biomolecules
such as proteins or nucleic acids (DNA or RNA). Mimicking the mechanism
of natural evolution, one can enhance a desired property by applying
a suitable selection pressure and sorting improved variants. Droplet-based
microfluidic systems offer a high-throughput solution to this approach
by helping to overcome the limiting screening steps and allowing the
analysis of variants within increasingly complex libraries. Here,
we review cases where successful evolution of biomolecules was achieved
using droplet-based microfluidics, focusing on the molecular processes
involved and the incorporation of microfluidics to the workflow. We
highlight the advantages and limitations of these microfluidic systems
compared to low-throughput methods and show how the integration of
these systems into directed evolution workflows can open new avenues
to discover or improve biomolecules according to user-defined conditions.