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Microbial‐derived natural products remain a major source of structurally diverse bioactive compounds and chemical scaffolds that have the potential as new therapeutics to target drug‐resistant pathogens and cancers. In particular, genome mining has revealed the vast number of cryptic or low‐yield biosynthetic gene clusters in the genus Streptomyces. However, low natural product yields—improvements to which have been hindered by the lack of high throughput methods—have slowed the discovery and development of many potential therapeutics. Here, we describe our efforts to improve yields of landomycins—angucycline family polyketides under investigation as cancer therapeutics—by a genetically modified Streptomyces cyanogenus 136. After simplifying the extraction process from S. cyanogenus cultures, we identified a wavelength at which the major landomycin products are absorbed in culture extracts, which we used to systematically explore culture medium compositions to improve total landomycin titers. Through correlational analysis, we simplified the culture optimization process by identifying an alternative wavelength at which culture supernatants absorb yet is representative of total landomycin titers. Using the subsequently improved sample throughput, we explored landomycin production during the culturing process to further increase landomycin yield and reduce culture time. Testing the antimicrobial activity of the isolated landomycins, we report broad inhibition of Gram‐positive bacteria, inhibition of fungi by landomycinone, and broad landomycin resistance by Gram‐negative bacteria that is likely mediated by the exclusion of landomycins by the bacterial membrane. Finally, the anticancer activity of the isolated landomycins against A549 lung carcinoma cells agrees with previous reports on other cell lines that glycan chain length correlates with activity. Given the prevalence of natural products produced by Streptomyces, as well as the light‐absorbing moieties common to bioactive natural products and their metabolic precursors, our method is relevant to improving the yields of other natural products of interest. [ABSTRACT FROM AUTHOR]

As cellular engineering progresses from simply overexpressing proteins to imparting complex phenotypes through multigene expression, judicious appropriation of cellular resources is essential. Since codon use is degenerate and biased, codons may control cellular resources at a translational level. We investigate how partitioning transfer RNA (tRNA) resources by incorporating dissimilar codon usage can drastically alter interdependence of expression level and burden on the host. By isolating the effect of individual codons' use during translation elongation while eliminating confounding factors, we show that codon choice can trans-regulate fitness of the host and expression of other heterologous or native genes. We correlate specific codon usage patterns with host fitness and derive a coding scheme for multigene expression called the Codon Health Index (CHI, χ). This empirically derived coding scheme (χ) enables the design of multigene expression systems that avoid catastrophic cellular burden and is robust across several proteins and conditions. [ABSTRACT FROM AUTHOR]

Synthetic cell–cell interaction systems can be useful for understanding multicellular communities or for screening binding molecules. We adapt a previously characterized set of synthetic cognate nanobody–antigen pairs to a yeast–bacteria coincubation format and use flow cytometry to evaluate cell–cell interactions mediated by binding between surface‐displayed molecules. We further use fluorescence‐activated cell sorting to enrich a specific yeast‐displayed nanobody within a mixed yeast‐display population. Finally, we demonstrate that this system supports the characterization of a therapeutically relevant nanobody–antigen interaction: a previously discovered nanobody that binds to the intimin protein expressed on the surface of enterohemorrhagic Escherichia coli. Overall, our findings indicate that the yeast–bacteria format supports efficient evaluation of ligand–target interactions. With further development, this format may facilitate systematic characterization and high‐throughput discovery of bacterial surface‐binding molecules. [ABSTRACT FROM AUTHOR]

There is broad interest in engineering phenylalanine ammonia-lyase (PAL) for its biocatalytic applications in industry and medicine. While site-specific mutagenesis has been employed to improve PAL stability or substrate specificity, combinatorial techniques are poorly explored. Here, we report development of a directed evolution technique to engineer PAL enzymes. Central to this approach is a high-throughput enrichment that couples E. coli growth to PAL activity. Starting with the PAL used in the formulation of pegvaliase for PKU therapy, we report previously unidentified mutations that increase turnover frequency almost twofold after only a single round of engineering. [ABSTRACT FROM AUTHOR]