Evidence map›Paper›PMID 26566658›Full record

ArticleGenome research2016

SCRaMbLE generates designed combinatorial stochastic diversity in synthetic chromosomes.

Yue Shen, Giovanni Stracquadanio, Yun Wang, Kun Yang, Leslie A Mitchell, Yaxin Xue, Yizhi Cai, Tai Chen, Jessica S Dymond, Kang Kang and 11 more

Abstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

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  11. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
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19 more citing papers are in PubMed but not listed here.

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

21 authors.

Yue ShenBGI-Shenzhen, Shenzhen 518083, China; Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JL, United Kingdom;
Giovanni StracquadanioHigh-Throughput Biology Center, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; Department of Biomedical Engineering, School of Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA;
Yun WangBGI-Shenzhen, Shenzhen 518083, China;
Kun YangHigh-Throughput Biology Center, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA;
Leslie A MitchellHigh-Throughput Biology Center, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; Department of Biochemistry and Molecular Pharmacology and Institute for Systems Genetics, NYU Langone Medical Center, New York, New York 10016, USA;
Yaxin XueBGI-Shenzhen, Shenzhen 518083, China;
Yizhi CaiCentre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JL, United Kingdom;
Tai ChenBGI-Shenzhen, Shenzhen 518083, China;
Jessica S DymondHigh-Throughput Biology Center, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA;
Kang KangBGI-Shenzhen, Shenzhen 518083, China;
Jianhui GongBGI-Shenzhen, Shenzhen 518083, China;
Xiaofan ZengBGI-Shenzhen, Shenzhen 518083, China;
Yongfen ZhangBGI-Shenzhen, Shenzhen 518083, China;
Yingrui LiBGI-Shenzhen, Shenzhen 518083, China;
Qiang FengBGI-Shenzhen, Shenzhen 518083, China;
Xun XuBGI-Shenzhen, Shenzhen 518083, China;
Jun WangBGI-Shenzhen, Shenzhen 518083, China; Department of Biology, University of Copenhagen, DK-2200 Copenhagen, Denmark; Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
Jian WangBGI-Shenzhen, Shenzhen 518083, China;
Huanming YangBGI-Shenzhen, Shenzhen 518083, China; James D. Watson Institute of Genome Science, Hangzhou 310058, China.
Jef D BoekeDepartment of Biochemistry and Molecular Pharmacology and Institute for Systems Genetics, NYU Langone Medical Center, New York, New York 10016, USA;
Joel S BaderHigh-Throughput Biology Center, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; Department of Biomedical Engineering, School of Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA;

Funding

Biotechnology and Biological Sciences Research Council BB/M005690/1
6 · The paper itself

Abstract

Synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) generates combinatorial genomic diversity through rearrangements at designed recombinase sites. We applied SCRaMbLE to yeast synthetic chromosome arm synIXR (43 recombinase sites) and then used a computational pipeline to infer or unscramble the sequence of recombinations that created the observed genomes. Deep sequencing of 64 synIXR SCRaMbLE strains revealed 156 deletions, 89 inversions, 94 duplications, and 55 additional complex rearrangements; several duplications are consistent with a double rolling circle mechanism. Every SCRaMbLE strain was unique, validating the capability of SCRaMbLE to explore a diverse space of genomes. Rearrangements occurred exclusively at designed loxPsym sites, with no significant evidence for ectopic rearrangements or mutations involving synthetic regions, the 99% nonsynthetic nuclear genome, or the mitochondrial genome. Deletion frequencies identified genes required for viability or fast growth. Replacement of 3' UTR by non-UTR sequence had surprisingly little effect on fitness. SCRaMbLE generates genome diversity in designated regions, reveals fitness constraints, and should scale to simultaneous evolution of multiple synthetic chromosomes.

Indexed as

Directed Molecular EvolutionGene RearrangementGenome, FungalChromosome DuplicationChromosome InversionChromosomesDNA, FungalHigh-Throughput Nucleotide SequencingSaccharomyces cerevisiaeSequence Analysis, DNASequence DeletionDNA, Fungal

Identifiers

PMID26566658
PMCPMC4691749

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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.