Synthetic biology: new strategies for directing design.

The advancement of synthetic biology is thanks, in large part, to continuing improvements in DNA synthesis. The expansion of synthetic biology into the realm of metabolic engineering has shifted the focus from simply making novel synthetic biological parts to answering the question of how we employ these biological parts to construct genomes that ultimately give rise to useful phenotypes. Much like protein engineering, the answer to this will be arrived at following the combination of rational design and evolutionary approaches. This review will highlight some of the new DNA synthesis-enabled search methods and discuss the application of such methods to the creation of synthetic gene networks and genomes.

Application and engineering of fatty acid biosynthesis in Escherichia coli for advanced fuels and chemicals.

Research towards the commercialization of fungible biofuels has received a great deal of recent interest and investment. To this end the microbial production of fatty acid-derived fuels from sustainable feedstocks is emerging as a viable option with rapid advances from both industry and academia. The manipulation of the fatty acid biosynthesis pathway, especially in Escherichia coli, has been widely studied and several approaches that increase fatty acid production have been identified. However, further advances will be required for the economic large-scale production of fatty acid-derived biofuels. Here we present an overview of fatty acid biosynthesis and its regulation in E. coli from a metabolic engineering viewpoint and offer potential approaches and considerations for the microbial overproduction of custom designed fatty acids for use as biofuels or in the manufacture of oleochemicals.

A flow cytometry-based screen for synthetic riboswitches.

Riboswitches regulate gene expression through direct, small molecule-mRNA interactions. The creation of new synthetic riboswitches from in vitro selected aptamers benefits from rapid, high-throughput methods for identifying switches capable of triggering dramatic changes in gene expression in the presence of a desired ligand. Here we present a flow cytometry-based screen for identifying synthetic riboswitches that induce robust increases in gene expression in the presence of theophylline. The performance characteristics of our newly identified riboswitches exceed those of previously described natural and synthetic riboswitches. Sequencing data and structure probing experiments reveal the ribosome binding site to be an important determinant of how well a switch performs and may provide insights into the design of new synthetic riboswitches.

Prevalence of Neutralising Antibodies to HCoV-NL63 in Healthy Adults in Australia.

The COVID-19 pandemic has highlighted the importance of understanding the immune response to seasonal human coronavirus (HCoV) infections such as HCoV-NL63, how existing neutralising antibodies to HCoV may modulate responses to SARS-CoV-2 infection, and the utility of seasonal HCoV as human challenge models. Therefore, in this study we quantified HCoV-NL63 neutralising antibody titres in a healthy adult population using plasma from 100 blood donors in Australia. A microneutralisation assay was performed with plasma diluted from 1:10 to 1:160 and tested with the HCoV-NL63 Amsterdam-1 strain. Neutralising antibodies were detected in 71% of the plasma samples, with a median geometric mean titre of 14. This titre was similar to those reported in convalescent sera taken from individuals 3-7 months following asymptomatic SARS-CoV-2 infection, and 2-3 years post-infection from symptomatic SARS-CoV-1 patients. HCoV-NL63 neutralising antibody titres decreased with increasing age (R2 = 0.042, p = 0.038), but did not differ by sex. Overall, this study demonstrates that neutralising antibody to HCoV-NL63 is detectable in approximately 71% of the healthy adult population of Australia. Similar titres did not impede the use of another seasonal human coronavirus (HCoV-229E) in a human challenge model, thus, HCoV-NL63 may be useful as a human challenge model for more pathogenic coronaviruses.

High-throughput screens to discover synthetic riboswitches.

Synthetic riboswitches constructed from RNA aptamers provide a means to control bacterial gene expression using exogenous ligands. A common theme among riboswitches that function at the translational level is that the RNA aptamer interacts with the ribosome-binding site (RBS) of a gene via an intervening sequence known as an expression platform. Structural rearrangements of the expression platform convert ligand binding into a change in gene expression. While methods for selecting RNA aptamers that bind ligands are well established, few general methods have been reported for converting these aptamers into synthetic riboswitches with desirable properties. We have developed two such methods that not only provide the throughput of genetic selections, but also feature the quantitative nature of genetic screens. One method, based on cell motility, is operationally simple and requires only standard consumables; while the other, based on fluorescence-activated cell sorting (FACS), is particularly adept at identifying synthetic riboswitches that are highly dynamic and display very low levels of background expression in the absence of the ligand. Here we present detailed procedures for screening libraries for riboswitches using the two methods.

A high-throughput screen for synthetic riboswitches reveals mechanistic insights into their function.

Riboswitches are RNA-based genetic control elements that regulate gene expression in a ligand-dependent fashion without the need for proteins. The ability to create synthetic riboswitches that control gene expression in response to any desired small-molecule ligand will enable the development of sensitive genetic screens that can detect the presence of small molecules, as well as designer genetic control elements to conditionally modulate cellular behavior. Herein, we present an automated high-throughput screening method that identifies synthetic riboswitches that display extremely low background levels of gene expression in the absence of the desired ligand and robust increases in expression in its presence. Mechanistic studies reveal how these riboswitches function and suggest design principles for creating new synthetic riboswitches. We anticipate that the screening method and design principles will be generally useful for creating functional synthetic riboswitches.

Genome-wide mapping of mutations at single-nucleotide resolution for protein, metabolic and genome engineering.

Improvements in DNA synthesis and sequencing have underpinned comprehensive assessment of gene function in bacteria and eukaryotes. Genome-wide analyses require high-throughput methods to generate mutations and analyze their phenotypes, but approaches to date have been unable to efficiently link the effects of mutations in coding regions or promoter elements in a highly parallel fashion. We report that CRISPR-Cas9 gene editing in combination with massively parallel oligomer synthesis can enable trackable editing on a genome-wide scale. Our method, CRISPR-enabled trackable genome engineering (CREATE), links each guide RNA to homologous repair cassettes that both edit loci and function as barcodes to track genotype-phenotype relationships. We apply CREATE to site saturation mutagenesis for protein engineering, reconstruction of adaptive laboratory evolution experiments, and identification of stress tolerance and antibiotic resistance genes in bacteria. We provide preliminary evidence that CREATE will work in yeast. We also provide a webtool to design multiplex CREATE libraries.

Codon compression algorithms for saturation mutagenesis.

Saturation mutagenesis is employed in protein engineering and genome-editing efforts to generate libraries that span amino acid design space. Traditionally, this is accomplished by using degenerate/compressed codons such as NNK (N = A/C/G/T, K = G/T), which covers all amino acids and one stop codon. These solutions suffer from two types of redundancy: (a) different codons for the same amino acid lead to bias, and (b) wild type amino acid is included within the library. These redundancies increase library size and downstream screening efforts. Here, we present a dynamic approach to compress codons for any desired list of amino acids, taking into account codon usage. This results in a unique codon collection for every amino acid to be mutated, with the desired redundancy level. Finally, we demonstrate that this approach can be used to design precise oligo libraries amendable to recombineering and CRISPR-based genome editing to obtain a diverse population with high efficiency.