ArticleNature communications2018
Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed.
- Synthetic Chromosomes in Yeast: A Platform for Understanding and Programming Eukaryotic Life.Microbial biotechnology · 2026Review
- Advances in large DNA fragment assembly for microbial cell factory engineering.Quantitative biology (Beijing, China) · 2026Review
- Large-scale genome structure interrogation via recombinase-mediated rearrangements of multiplexed prime edits in repetitive elements.Nature protocols · 2026Review
- One Yeast, Sixteen Synthetic Chromosomes, Infinite Possibilities.Yeast (Chichester, England) · 2026Review
- Systems-Level Metabolic Regulation Strategies of Xylose Metabolism in Saccharomyces cerevisiae.Biotechnology journal · 2026Review
- Synthetic rewriting technologies in mammalian cells.Nature communications · 2026Review
- Life beyond 6000 genes: from sequence to synthesis in a post-genomics era.FEMS yeast research · 2026Review
- Uncorking wine yeast genomics from grape to glass.FEMS yeast research · 2026Review
- EASY-C: Extraction and Analysis of Small Yeast Chromosomes-A rapid and universal platform for recovering artificial mini-chromosomes from synthetic Sc2.0 yeast and large plasmids fromSynthetic biology (Oxford, England) · 2026Article
- Iterative SCRaMbLE for engineering synthetic genome modules and chromosomes.Nature communications · 2025Article
- The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025Review
- Enhancing recombinant protein production through Cre-loxP mediated chromosomal rearrangement evolution in Kluyveromyces marxianus.Communications biology · 2025Article
- Synthetic evolution ofmLife · 2025Review
- Golden Gate Cloning for Efficient Biosynthesis of Lycopene in Synthetic Yeast.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Towards the first synthetic eukaryotic cell.Biosafety and health · 2024Review
- Designing a synthetic moss genome using GenoDesigner.Nature plants · 2024Review
- Engineering is evolution: a perspective on design processes to engineer biology.Nature communications · 2024Article
- An Optimized Genotyping Workflow for Identifying Highly SCRaMbLEd Synthetic Yeasts.ACS synthetic biology · 2024Article
- Large-scale genomic rearrangements boost SCRaMbLE in Saccharomyces cerevisiae.Nature communications · 2024Article
- Dissecting aneuploidy phenotypes by constructing Sc2.0 chromosome VII and SCRaMbLEing synthetic disomic yeast.Cell genomics · 2023Article
7 more citing papers are in PubMed but not listed here.
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10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic biology tools, such as modular parts and combinatorial DNA assembly, are routinely used to optimise the productivity of heterologous metabolic pathways for biosynthesis or substrate utilisation, yet it is well established that host strain background is just as important for determining productivity. Here we report that in vivo combinatorial genomic rearrangement of Saccharomyces cerevisiae yeast with a synthetic chromosome V can rapidly generate new, improved host strains with genetic backgrounds favourable to diverse heterologous pathways, including those for violacein and penicillin biosynthesis and for xylose utilisation. We show how the modular rearrangement of synthetic chromosomes by SCRaMbLE can be easily determined using long-read nanopore sequencing and we explore experimental conditions that optimise diversification and screening. This synthetic genome approach to metabolic engineering provides productivity improvements in a fast, simple and accessible way, making it a valuable addition to existing strain improvement techniques.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.