Vector redesign and in-droplet cell-growth improves enrichment and recovery in live Escherichia coli.

Directed evolution (DE) is a widely used method for improving the function of biomolecules via multiple rounds of mutation and selection. Microfluidic droplets have emerged as an important means to screen the large libraries needed for DE, but this approach was so far partially limited by the need to lyse cells, recover DNA, and retransform into cells for the next round, necessitating the use of a high-copy number plasmid or oversampling. The recently developed live cell recovery avoids some of these limitations by directly regrowing selected cells after sorting.

Ancestral sequences of a large promiscuous enzyme family correspond to bridges in sequence space in a network representation.

Evolutionary relationships of protein families can be characterized either by networks or by trees. Whereas trees allow for hierarchical grouping and reconstruction of the most likely ancestral sequences, networks lack a time axis but allow for thresholds of pairwise sequence identity to be chosen and, therefore, the clustering of family members with presumably more similar functions. Here, we use the large family of arylsulfatases and phosphonate monoester hydrolases to investigate similarities, strengths and weaknesses in tree and network representations.

High-Throughput, Lysis-Free Screening for Sulfatase Activity Using Autodisplay in Microdroplets.

Directed evolution of enzymes toward improved catalytic performance has become a powerful tool in protein engineering. To be effective, a directed evolution campaign requires the use of high-throughput screening. In this study we describe the development of an ultra high-throughput lysis-free procedure to screen for improved sulfatase activity by combining microdroplet-based single-variant activity sorting with autodisplay.