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Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping

Author

Listed:
  • Jiazhang Lian

    (University of Illinois at Urbana-Champaign
    Zhejiang University)

  • Carl Schultz

    (University of Illinois at Urbana-Champaign)

  • Mingfeng Cao

    (University of Illinois at Urbana-Champaign)

  • Mohammad HamediRad

    (University of Illinois at Urbana-Champaign
    Lifefoundry Inc.)

  • Huimin Zhao

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

Abstract

Genome-scale engineering is an indispensable tool to understand genome functions due to our limited knowledge of cellular networks. Unfortunately, most existing methods for genome-wide genotype–phenotype mapping are limited to a single mode of genomic alteration, i.e. overexpression, repression, or deletion. Here we report a multi-functional genome-wide CRISPR (MAGIC) system to precisely control the expression level of defined genes to desired levels throughout the whole genome. By combining the tri-functional CRISPR system and array-synthesized oligo pools, MAGIC is used to create, to the best of our knowledge, one of the most comprehensive and diversified genomic libraries in yeast ever reported. The power of MAGIC is demonstrated by the identification of previously uncharacterized genetic determinants of complex phenotypes, particularly those having synergistic interactions when perturbed to different expression levels. MAGIC represents a powerful synthetic biology tool to investigate fundamental biological questions as well as engineer complex phenotypes for biotechnological applications.

Suggested Citation

  • Jiazhang Lian & Carl Schultz & Mingfeng Cao & Mohammad HamediRad & Huimin Zhao, 2019. "Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13621-4
    DOI: 10.1038/s41467-019-13621-4
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    Cited by:

    1. Jiao Liu & Moshi Liu & Tuo Shi & Guannan Sun & Ning Gao & Xiaojia Zhao & Xuan Guo & Xiaomeng Ni & Qianqian Yuan & Jinhui Feng & Zhemin Liu & Yanmei Guo & Jiuzhou Chen & Yu Wang & Ping Zheng & Jibin Su, 2022. "CRISPR-assisted rational flux-tuning and arrayed CRISPRi screening of an l-proline exporter for l-proline hyperproduction," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

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