Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.09.13.612835

RoCi - A Single Step Multi-Copy Integration System Based on Rolling-Circle Replication

Abstract

Fungi are often used as cell factories for homologous and heterologous production of enzymes and metabolites. One strategy to obtain high yielding strains is to enhance the expression level of the gene(s) responsible for production of the product by inserting multiple copies of the gene-expression cassette. Typically, this is achieved by transforming non-homologous end-joining proficient strains with large amounts of a DNA vector, which randomly integrates in multiple copies at different loci, or more often, into a single locus with copies arranged as mixed orientation repeats. The majority of strains produced in this manner are unstable and substantial screening is necessary to identify strains with high and stable production. Moreover, the randomness of the insertion processes makes it difficult to determine how and where the copies are positioned in the genome. To this end, we envisioned that the instability of gene clusters made by the classical method is mostly due to the presence of a mixture of directly and inverted repeats. In such clusters, hairpins formed by inverted repeats may cause frequent recombinogenic lesions during replication to induce gene-expression cassette copy-loss by direct-repeat recombination. It is therefore possible that strains with gene-expression cassette clusters made solely by direct repeats would be more stable. Using Aspergillus nidulans as a model, we tested this idea and developed RoCi, a simple and efficient method to facilitate integration of multiple directly repeated gene-expression cassettes into a defined genomic locus through rolling-circle replication without pre-engineering requirements for strain preparation. In addition, we demonstrate that RoCi can be performed without E. coli based cloning, making it compatible with medium-high throughput experiments. Analyzing strains produced by RoCi, we have constructed strains bearing up to 68 mRFP GECs and we show that an mRFP multi-copy gene-array supports high and stable mRFP production for at least [~]150 generations on solid medium. In liquid culture we observed a minor average copy loss at 1 L scale. This loss could be eliminated by extending the gene-expression cassette with a crippled selection marker. To demonstrate the strength of the method, we used it to produce stable and high yielding cell factories for production of the specialized metabolite cordycepin on solid medium and of the enzyme {beta}-glucuronidase in submerged culture. Finally, we show that RoCi can also be applied in the industrial workhorses A. niger and A. oryzae indicating that RoCi is generally applicable in fungi.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Antsotegi-Uskola, M., D'Ambrosio, V., Jarczynska, Z. D., Vanegas, K. G., Morera-Gomez, M., Wang, X., Larsen, T. O., Mouillon, J.-M., Mortensen, U. H.. 2024-09-13. RoCi - A Single Step Multi-Copy Integration System Based on Rolling-Circle Replication. https://doi.org/10.1101/2024.09.13.612835

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Living electronic transistors with tunable conductivity

Electroactive bacteria, like Shewanella oneidensis, can couple the oxidation of organic electron donors to the reduction of external conductive surfaces, such as minerals and electrodes, by utilizing multiheme cytochromes to carry charge from within the cell to external surfaces. Additionally, multiheme cytochromes facilitate gateable, long-distance (micrometer-scale) redox conduction along the outer membrane and across multiple cells bridging electrodes. While electroactive microbes are being used to develop bioelectrochemical devices, there have been limited efforts to use synthetic biology to exert additional control over microbes serving as device components. Thus, this work implements an optogenetic biofilm patterning gene circuit and a small molecule sensor in S. oneidensis to simultaneously control cell deposition and cytochrome expression. This allows for photolithographic patterning of biofilms possessing tunable electrical properties controlled with small molecules. This system demonstrates tunable electrochemical activity, redox conduction, intrinsic biofilm conductivity, and negative differential transconductance as a function of cytochrome expression. Additionally, temperature-dependent measurements of this tunable biofilm conduction reveal changes in activation energy as a function of cytochrome expression. Through this combination of synthetic biology and electrochemistry, simultaneous control over biofilm geometry and conductivity sheds light on fundamental microbial electron transport processes, and it enables the construction of living electronic devices.

synthetic biology↗

Evolutionary stabilisation of stressful metabolism via integrated biocomputing and essential-gene metabolic locking circuits

Synthetic genetic circuits enable microbial differentiation from growth to production, yet metabolic burden, imbalance and toxicity frequently drive strain degeneration. Yeast strains engineered to produce different terpene products exhibited divergent genetic responses to metabolic stresses, but commonly underwent progressive loss of induction of synthetic GAL regulatory circuits, either across the entire population or within subpopulations. Using di- and tri-input biocomputing circuits, the essential glutamine synthetase gene GLN1 was coupled to GAL induction, thereby enabling stabilisation and evolutionary adaptation of the synthetic genetic circuits and stressful heterologous terpene synthetic pathways. The integrated biocomputing and metabolic coupling circuit systems not only prevent strain degeneration but also enable interrogation of non-degenerative evolutionary shifts, providing a platform for metabolic engineering optimisation.

synthetic biology↗

Unbiased and scalable reduction of diverse bacterial genomes

The genome is a complex, integrated system where the functions and regulatory interactions of its many components remain poorly understood. Genome minimization aims to reduce genomic complexity by removing non-essential elements to reveal the fundamental building blocks of cellular life. However, current minimization strategies are often slow and species-specific due to a reliance on prior information, and limited to producing single, isolated strains, which obscures the diverse ways a genome can adapt to large-scale DNA removal. Here we show the development and application of Stochastic Lineage-based Iterative Minimization (SLIM) a modular, high-throughput platform for unbiased genome reduction across phylogenetically diverse bacteria. We apply SLIM to generate a library of genome-reduced Escherichia coli lineages. We then interrogate the lineages, identifying both universal and lineage-specific transcriptional and translational reprogramming in response to deletions. We demonstrate that these expression dynamics drive environment-dependent fitness, allowing us to pinpoint a single gene deletion in one genome-reduced lineage as the driver of a measurable environmental growth defect. Beyond E. coli, we successfully deploy SLIM in phylogenetically distinct bacterial taxa to rapidly reduce the genomes of Shigella flexneri and Pseudomonas putida, distinct genus and order respectively from E. coli, without species-specific optimization. Our results establish a scalable, generalizable framework for navigating the vast landscape of minimized genomes, providing a powerful new tool for functional discovery and the rational design of synthetic genomic chassis.

synthetic biology↗