Evidence map›Paper›PMID 40774952›Full record

ArticleNature communications2025

Iterative SCRaMbLE for engineering synthetic genome modules and chromosomes.

Xinyu Lu, Klaudia Ciurkot, Glen-Oliver F Gowers, William M Shaw, Tom Ellis

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Development and characterization of a Cre/Synthetic and systems biotechnology · 2027
    Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xinyu LuImperial Centre for Engineering Biology, Imperial College London, London, UK.
Klaudia CiurkotImperial Centre for Engineering Biology, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-9857-8553
Glen-Oliver F GowersImperial Centre for Engineering Biology, Imperial College London, London, UK.
William M ShawImperial Centre for Engineering Biology, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-1289-1993
Tom EllisImperial Centre for Engineering Biology, Imperial College London, London, UK. t.ellis@imperial.ac.uk.ORCID http://orcid.org/0000-0001-5392-976X

Funding

CSC | Chinese Government Scholarship n/aWellcome TrustWellcome Trust (Wellcome) 221267/Z/20/Z
6 · The paper itself

Abstract

Saccharomyces cerevisiae is closing-in on the first synthetic eukaryotic genome with genome-wide redesigns, including LoxPsym site insertions that enable inducible genomic rearrangements in vivo via Cre recombinase through SCRaMbLE (Synthetic Chromosome Recombination and Modification by LoxPsym-mediated Evolution). Combined with selection, SCRaMbLE quickly generates phenotype-enhanced strains by diversifying gene arrangement and content. Here, we demonstrate how iterative cycles of SCRaMbLE reorganises synthetic genome modules and chromosomes to improve functions. We introduce SCOUT (SCRaMbLE Continuous Output and Universal Tracker), a reporter system that allows sorting of SCRaMbLEd cells into high-diversity pools. Paired with long-read sequencing, SCOUT enables high-throughput mapping of genotype abundance and genotype-phenotype relationships. Iterative SCRaMbLE is applied here to yeast strains with a full synthetic chromosome and histidine biosynthesis modules. Five HIS module designs are tested, and SCRaMbLE is used to optimise the poorest performer. Our results highlight iterative SCRaMbLE as a powerful tool for data driven modular genome design.

Indexed as

Chromosomes, FungalGenetic EngineeringGenome, FungalSaccharomyces cerevisiaeSynthetic BiologyIntegrasesRecombination, GeneticCre recombinaseIntegrases

Identifiers

PMID40774952
PMCPMC12331891

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Registered trials

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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.