basicsynbio and the BASIC SEVA collection: software and vectors for an established DNA assembly method.

Standardized deoxyribonucleic acid (DNA) assembly methods utilizing modular components provide a powerful framework to explore designs and iterate through Design-Build-Test-Learn cycles. Biopart Assembly Standard for Idempotent Cloning (BASIC) DNA assembly uses modular parts and linkers, is highly accurate, easy to automate, free for academic and commercial use and enables hierarchical assemblies through an idempotent format. These features enable applications including pathway engineering, ribosome binding site (RBS) tuning, fusion protein engineering and multiplexed guide ribonucleic acid (RNA) expression. In this work, we present basicsynbio, open-source software encompassing a Web App (https://basicsynbio.web.app/) and Python Package (https://github.com/LondonBiofoundry/basicsynbio), enabling BASIC construct design via simple drag-and-drop operations or programmatically. With basicsynbio, users can access commonly used BASIC parts and linkers while designing new parts and assemblies with exception handling for common errors. Users can export sequence data and create instructions for manual or acoustic liquid-handling platforms. Instruction generation relies on the BasicBuild Open Standard, which is parsed for bespoke workflows and is serializable in JavaScript Object Notation for transfer and storage. We demonstrate basicsynbio, assembling 30 vectors using sequences including modules from the Standard European Vector Architecture (SEVA). The BASIC SEVA vector collection is compatible with BASIC and Golden Gate using BsaI. Vectors contain one of six antibiotic resistance markers and five origins of replication from different compatibility groups. The collection is available via Addgene under an OpenMTA agreement. Furthermore, vector sequences are available from within the basicsynbio application programming interface with other collections of parts and linkers, providing a powerful environment for designing assemblies for bioengineering applications. Graphical Abstract.

DNA-BOT: a low-cost, automated DNA assembly platform for synthetic biology.

Multi-part DNA assembly is the physical starting point for many projects in Synthetic and Molecular Biology. The ability to explore a genetic design space by building extensive libraries of DNA constructs is essential for creating programmed biological systems. With multiple DNA assembly methods and standards adopted in the Synthetic Biology community, automation of the DNA assembly process is now receiving serious attention. Automation will enable larger builds using less researcher time, while increasing the accessible design space. However, these benefits currently incur high costs for both equipment and consumables. Here, we address this limitation by introducing low-cost DNA assembly with BASIC on OpenTrons (DNA-BOT). For this purpose, we developed an open-source software package and demonstrated the performance of DNA-BOT by simultaneously assembling 88 constructs composed of 10 genetic parts, evaluating the promoter, ribosome binding site and gene order design space for a three-gene operon. All 88 constructs were assembled with high accuracy, at a consumables cost of $1.50-$5.50 per construct. This illustrates the efficiency, accuracy and affordability of DNA-BOT, making it accessible for most labs and democratizing automated DNA assembly.

BASIC: A Simple and Accurate Modular DNA Assembly Method.

Biopart Assembly Standard for Idempotent Cloning (BASIC) is a simple, robust, and highly accurate DNA assembly method, which provides 99% correct assemblies for a typical four-part assembly, enabling high efficiency cloning workflows (Storch et al., ACS Synth Biol, https://doi.org/10.1021/sb500356 , 2015). BASIC employs standardised DNA linkers to combine bioparts, stored in the universal BASIC format. Once a new biopart is formatted into BASIC standard, defined by flanking 18 bp prefix and suffix sequences, it can be placed at any position and in any context within a designed BASIC assembly. This modularity of the BASIC approach is further enhanced by a range of functional linkers, including genetic elements like ribosomal binding sites (RBS) and peptide linkers. The method has a single tier format, whereby any BASIC assembly can create a new composite BASIC part in the same format used for the original parts; it can thus enter a subsequent BASIC assembly without the need for reformatting or changes to the workflow. This unique idempotent cloning mechanism allows for the assembly of constructs in multiple, conceptionally simple hierarchical rounds. Combined with its high accuracy and robustness, this makes BASIC a versatile assembly method for combinatorial and complex assemblies both at bench and biofoundry scale. The single universal storage format of BASIC parts enables compressed universal biopart libraries that promote sharing of parts and reproducible assembly strategies across labs, supporting efforts to improve reproducibility. In comparison with other DNA assembly standards and methods, BASIC offers a simple robust protocol, relies on a single tier format, provides for easy hierarchical assembly, and is highly accurate for up to seven parts per assembly round (Casini et al., Nat Rev Mol Cell Biol. https://doi.org/10.1038/nrm4014 , 2015).

Riboswitch identification using Ligase-Assisted Selection for the Enrichment of Responsive Ribozymes (LigASERR).

In vitro selection of ligand-responsive ribozymes can identify rare, functional sequences from large libraries. While powerful, key caveats of this approach include lengthy and demanding experimental workflows; unpredictable experimental outcomes and unknown functionality of enriched sequences in vivo. To address the first of these limitations, we developed Ligase-Assisted Selection for the Enrichment of Responsive Ribozymes (LigASERR). LigASERR is scalable, amenable to automation and requires less time to implement compared to alternative methods. To improve the predictability of experiments, we modeled the underlying selection process, predicting experimental outcomes based on sequence and population parameters. We applied this new methodology and model to the enrichment of a known, in vitro-selected sequence from a bespoke library. Prior to implementing selection, conditions were optimized and target sequence dynamics accurately predicted for the majority of the experiment. In addition to enriching the target sequence, we identified two new, theophylline-activated ribozymes. Notably, all three sequences yielded riboswitches functional in Escherichia coli, suggesting LigASERR and similar in vitro selection methods can be utilized for generating functional riboswitches in this organism.