Andrew D. Garst

Crystal Structure of the Lysine Riboswitch Regulatory mRNA Element

Riboswitches are metabolite-sensitive elements found in mRNAs that control gene expression through a regulatory secondary structural switch. Along with regulation of lysine biosynthetic genes, mutations within the lysine-responsive riboswitch (L-box) play a role in the acquisition of resistance to antimicrobial lysine analogs. To understand the structural basis for lysine binding, we have determined the 2.8Å resolution crystal structure of lysine bound to the Thermotoga maritima asd lysine riboswitch ligand-binding domain. The structure reveals a complex architecture scaffolding a binding pocket completely enveloping lysine. Mutations conferring antimicrobial resistance cluster around this site as well as highly conserved long range interactions, indicating that they disrupt lysine binding or proper folding of the RNA. Comparison of the free and bound forms by x-ray crystallography, small angle x-ray scattering, and chemical probing reveals almost identical structures, indicating that lysine induces only limited and local conformational changes upon binding.

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.

Discrimination between Closely Related Cellular Metabolites by the SAM-I Riboswitch.

The SAM-I riboswitch is a cis-acting element of genetic control found in bacterial mRNAs that specifically binds S-adenosylmethionine (SAM). We previously determined the 2.9-A X-ray crystal structure of the effector-binding domain of this RNA element, revealing details of RNA-ligand recognition. To improve this structure, variations were made to the RNA sequence to alter lattice contacts, resulting in a 0.5-A improvement in crystallographic resolution and allowing for a more accurate refinement of the crystallographic model. The basis for SAM specificity was addressed by a structural analysis of the RNA complexed to S-adenosylhomocysteine (SAH) and sinefungin and by measuring the affinity of SAM and SAH for a series of mutants using isothermal titration calorimetry. These data illustrate the importance of two universally conserved base pairs in the RNA that form electrostatic interactions with the positively charged sulfonium group of SAM, thereby providing a basis for discrimination between SAM and SAH.

Single-molecule studies of the lysine riboswitch reveal effector-dependent conformational dynamics of the aptamer domain.

The lysine riboswitch is a cis-acting RNA genetic regulatory element found in the leader sequence of bacterial mRNAs coding for proteins related to biosynthesis or transport of lysine. Structural analysis of the lysine-binding aptamer domain of this RNA has revealed that it completely encapsulates the ligand and therefore must undergo a structural opening/closing upon interaction with lysine. In this work, single-molecule fluorescence resonance energy transfer (FRET) methods are used to monitor these ligand-induced structural transitions that are central to lysine riboswitch function. Specifically, a model FRET system has been developed for characterizing the lysine dissociation constant as well as the opening/closing rate constants for the Bacillus subtilis lysC aptamer domain. These techniques permit measurement of the dissociation constant (K(D)) for lysine binding of 1.7(5) mM and opening/closing rate constants of 1.4(3) s(-1) and 0.203(7) s(-1), respectively. These rates predict an apparent dissociation constant for lysine binding (K(D,apparent)) of 0.25(9) mM at near physiological ionic strength, which differs markedly from previous reports.

Multiplexed tracking of combinatorial genomic mutations in engineered cell populations.

Multiplexed genome engineering approaches can be used to generate targeted genetic diversity in cell populations on laboratory timescales, but methods to track mutations and link them to phenotypes have been lacking. We present an approach for tracking combinatorial engineered libraries (TRACE) through the simultaneous mapping of millions of combinatorially engineered genomes at single-cell resolution. Distal genomic sites are assembled into individual DNA constructs that are compatible with next-generation sequencing strategies. We used TRACE to map growth selection dynamics for Escherichia coli combinatorial libraries created by recursive multiplex recombineering at a depth 104-fold greater than before. TRACE was used to identify genotype-to-phenotype correlations and to map the evolutionary trajectory of two individual combinatorial mutants in E. coli. Combinatorial mutations in the human ES2 ovarian carcinoma cell line were also assessed with TRACE. TRACE completes the combinatorial engineering cycle and enables more sophisticated approaches to genome engineering in both bacteria and eukaryotic cells than are currently possible.

Insights into the Regulatory Landscape of the Lysine Riboswitch

A prevalent means of regulating gene expression in bacteria is by riboswitches found within mRNA leader sequences. Like protein repressors, these RNA elements must bind an effector molecule with high specificity against a background of other cellular metabolites of similar chemical structure to elicit the appropriate regulatory response. Current crystal structures of the lysine riboswitch do not provide a complete understanding of selectivity as recognition is substantially mediated through main-chain atoms of the amino acid. Using a directed set of lysine analogs and other amino acids, we have determined the relative contributions of the polar functional groups to binding affinity and the regulatory response. Our results reveal that the lysine riboswitch has >1000-fold specificity for lysine over other amino acids. The aptamer is highly sensitive to the precise placement of the ε-amino group and relatively tolerant of alterations to the main-chain functional groups in order to achieve this specificity. At low nucleotide triphosphate (NTP) concentrations, we observe good agreement between the half-maximal regulatory activity (T(50)) and the affinity of the receptor for lysine (K(d)), as well as many of its analogs. However, above 400 μM [NTP], the concentration of lysine required to elicit transcription termination rises, moving into the riboswitch into a kinetic control regime. These data demonstrate that, under physiologically relevant conditions, riboswitches can integrate both effector and NTP concentrations to generate a regulatory response appropriate for global metabolic state of the cell.

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.

CRISPR EnAbled trackable genome engineering for isopropanol production in Escherichia coli

Isopropanol is an important target molecule for sustainable production of fuels and chemicals. Increases in DNA synthesis and synthetic biology capabilities have resulted in the development of a range of new strategies for the more rapid design, construction, and testing of production strains. Here, we report on the use of such capabilities to construct and test 903 different variants of the isopropanol production pathway in Escherichia coli. We first constructed variants to explore the effect of codon optimization, copy number, and translation initiation rates on isopropanol production. The best strain (PA06) produced isopropanol at titers of 17.5g/L, with a yield of 0.62 (mol/mol), and maximum productivity of 0.40g/L/h. We next integrated the isopropanol synthetic pathway into the genome and then used the CRISPR EnAbled Trackable genome Engineering (CREATE) strategy to generate an additional 640 individual RBS library variants for further evaluation. After testing each of these variants, we constructed a combinatorial library containing 256 total variants from four different RBS levels for each gene. The best producing variant, PA14, produced isopropanol at titers of 7.1g/L at 24h, with a yield of 0.75 (mol/mol), and maximum productivity of 0.62g/L/h (which was 0.22g/L/h above the parent strain PA07). We demonstrate the ability to rapidly construct and test close to ~1000 designer strains and identify superior performers.

Genome-Wide Tuning of Protein Expression Levels to Rapidly Engineer Microbial Traits

The reliable engineering of biological systems requires quantitative mapping of predictable and context-independent expression over a broad range of protein expression levels. However, current techniques for modifying expression levels are cumbersome and are not amenable to high-throughput approaches. Here we present major improvements to current techniques through the design and construction of E. coli genome-wide libraries using synthetic DNA cassettes that can tune expression over a ∼10(4) range. The cassettes also contain molecular barcodes that are optimized for next-generation sequencing, enabling rapid and quantitative tracking of alleles that have the highest fitness advantage. We show these libraries can be used to determine which genes and expression levels confer greater fitness to E. coli under different growth conditions.

Accelerated protein engineering for chemical biotechnology via homologous recombination

Protein engineering has traditionally relied on random mutagenesis strategies to generate diverse libraries, which require high-throughput screening or selection methods to identify rare variants. Alternatively, approaches to semi-rational library construction can be used to minimize the screening load and enhance the efficiency by which improved mutants may be identified. Such methods are typically limited to characterization of relatively few variants due to the difficulties in generating large rational libraries. New tools from synthetic biology, namely multiplexed DNA synthesis and homologous recombination, provide a promising avenue to rapidly construct large, rational libraries. These technologies also enable incorporation of synthetically encoded features that permit efficient characterization of the fitness of each mutant. Extension of these tools to protein library design could complement rational protein design cycles in an effort to more systematically search complex fitness landscapes. The highly parallelized nature with which such libraries can be generated also has the potential to expand directed protein evolution from single protein targets to protein networks whose concerted activities are required for the biological function of interest.