Multi-copy single-stranded DNA in Escherichia coli

Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems

Bacterial retrons consist of a reverse transcriptase (RT) and a contiguous non-coding RNA (ncRNA) gene. One third of annotated retrons carry additional open reading frames (ORFs), the contribution and significance of which in retron biology remains to be determined. In this study we developed a computational pipeline for the systematic prediction of genes specifically associated with retron RTs based on a previously reported large dataset representative of the diversity of prokaryotic RTs. We found that retrons generally comprise a tripartite system composed of the ncRNA, the RT and an additional protein or RT-fused domain with diverse enzymatic functions. These retron systems are highly modular, and their components have coevolved to different extents. Based on the additional module, we classified retrons into 13 types, some of which include additional variants. Our findings provide a basis for future studies on the biological function of retrons and for expanding their biotechnological applications.

Retrons and their applications in genome engineering

Precision genome editing technologies have transformed modern biology. These technologies have arisen from the redirection of natural biological machinery, such as bacteriophage lambda proteins for recombineering and CRISPR nucleases for eliciting site-specific double-strand breaks. Less well-known is a widely distributed class of bacterial retroelements, retrons, that employ specialized reverse transcriptases to produce noncoding intracellular DNAs. Retrons' natural function and mechanism of genetic transmission have remained enigmatic. However, recent studies have harnessed their ability to produce DNA in situ for genome editing and evolution. This review describes retron biology and function in both natural and synthetic contexts. We also highlight areas that require further study to advance retron-based precision genome editing platforms.

Current and Emerging Methods for the Synthesis of Single-Stranded DNA

Methods for synthesizing arbitrary single-strand DNA (ssDNA) fragments are rapidly becoming fundamental tools for gene editing, DNA origami, DNA storage, and other applications. To meet the rising application requirements, numerous methods have been developed to produce ssDNA. Some approaches allow the synthesis of freely chosen user-defined ssDNA sequences to overcome the restrictions and limitations of different length, purity, and yield. In this perspective, we provide an overview of the representative ssDNA production strategies and their most significant challenges to enable the readers to make informed choices of synthesis methods and enhance the availability of increasingly inexpensive synthetic ssDNA. We also aim to stimulate a broader interest in the continued development of efficient ssDNA synthesis techniques and improve their applications in future research.

Retroelement-Based Genome Editing and Evolution

While several genome editing methods exist, few are suitable for the continuous evolution of targeted sequences.  Here we develop bacterial retroelements known as "retrons" for the dynamic,  in vivo editing and mutagenesis of targeted genes. We first optimized retrons' ability to introduce preprogrammed mutations, optimizing both their expression and the host machinery that interacts with them to increase the incorporation frequency of mutations 78-fold over rates previously reported in synthetic systems. The optimized system is capable of simultaneously overwriting 13 separate positions spanning  a 31-base length, and is for the first time shown to yield targeted deletions and insertions. To engineer retrons as a tool to introduce novel, unprogrammed mutations in specific targeted regions, we expressed them under a mutagenic T7 RNA polymerase. This coupled mutagenic T7 RNA polymerase-retron system enabled the evolution of diverse variants of environmentally selected antibiotic resistance genes, producing mutation rates in the targeted region 190-fold higher than  background cellular mutation rates, potentially enabling the dynamic, continuous self-evolution of selected phenotypes.