IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-04254-0.html
   My bibliography  Save this article

Rapid pathway prototyping and engineering using in vitro and in vivo synthetic genome SCRaMbLE-in methods

Author

Listed:
  • Wei Liu

    (University of Edinburgh)

  • Zhouqing Luo

    (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)

  • Yun Wang

    (BGI-Shenzhen, Beishan Industrial Zone
    China National GeneBank, BGI-Shenzhen
    Guangdong Provincial Key Laboratory of Genome Read and Write)

  • Nhan T. Pham

    (University of Edinburgh)

  • Laura Tuck

    (University of Edinburgh)

  • Irene Pérez-Pi

    (University of Edinburgh)

  • Longying Liu

    (BGI-Shenzhen, Beishan Industrial Zone
    China National GeneBank, BGI-Shenzhen
    Guangdong Provincial Key Laboratory of Genome Read and Write)

  • Yue Shen

    (University of Edinburgh
    BGI-Shenzhen, Beishan Industrial Zone
    China National GeneBank, BGI-Shenzhen
    Guangdong Provincial Key Laboratory of Genome Read and Write)

  • Chris French

    (University of Edinburgh)

  • Manfred Auer

    (University of Edinburgh
    Biomedical Sciences, The King’s Buildings)

  • Jon Marles-Wright

    (Devonshire Building, Newcastle University)

  • Junbiao Dai

    (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)

  • Yizhi Cai

    (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
    University of Manchester)

Abstract

Exogenous pathway optimization and chassis engineering are two crucial methods for heterologous pathway expression. The two methods are normally carried out step-wise and in a trial-and-error manner. Here we report a recombinase-based combinatorial method (termed “SCRaMbLE-in”) to tackle both challenges simultaneously. SCRaMbLE-in includes an in vitro recombinase toolkit to rapidly prototype and diversify gene expression at the pathway level and an in vivo genome reshuffling system to integrate assembled pathways into the synthetic yeast genome while combinatorially causing massive genome rearrangements in the host chassis. A set of loxP mutant pairs was identified to maximize the efficiency of the in vitro diversification. Exemplar pathways of β-carotene and violacein were successfully assembled, diversified, and integrated using this SCRaMbLE-in method. High-throughput sequencing was performed on selected engineered strains to reveal the resulting genotype-to-phenotype relationships. The SCRaMbLE-in method proves to be a rapid, efficient, and universal method to fast track the cycle of engineering biology.

Suggested Citation

  • Wei Liu & Zhouqing Luo & Yun Wang & Nhan T. Pham & Laura Tuck & Irene Pérez-Pi & Longying Liu & Yue Shen & Chris French & Manfred Auer & Jon Marles-Wright & Junbiao Dai & Yizhi Cai, 2018. "Rapid pathway prototyping and engineering using in vitro and in vivo synthetic genome SCRaMbLE-in methods," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04254-0
    DOI: 10.1038/s41467-018-04254-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-04254-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-04254-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li Cheng & Shijun Zhao & Tianyi Li & Sha Hou & Zhouqing Luo & Jinsheng Xu & Wenfei Yu & Shuangying Jiang & Marco Monti & Daniel Schindler & Weimin Zhang & Chunhui Hou & Yingxin Ma & Yizhi Cai & Jef D., 2024. "Large-scale genomic rearrangements boost SCRaMbLE in Saccharomyces cerevisiae," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04254-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.