Cited by 1,529CRISPR and Genetic EngineeringMicrobial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

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Programming cells by multiplex genome engineering and accelerated evolution

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Wang, Harris H., Isaacs, Farren J., Carr, Peter A., Sun, Zachary Z., Xu, George, Forest, Craig R., Church, George M.·2009·Nature

DOI 10.1038/nature08187PMC PMC4590770

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Abstract

The breadth of genomic diversity found among organisms in nature allows populations to adapt to diverse environments. However, genomic diversity is difficult to generate in the laboratory and new phenotypes do not easily arise on practical timescales. Although in vitro and directed evolution methods have created genetic variants with usefully altered phenotypes, these methods are limited to laborious and serial manipulation of single genes and are not used for parallel and continuous directed evolution of gene networks or genomes. Here, we describe multiplex automated genome engineering (MAGE) for large-scale programming and evolution of cells. MAGE simultaneously targets many locations on the chromosome for modification in a single cell or across a population of cells, thus producing combinatorial genomic diversity. Because the process is cyclical and scalable, we constructed prototype devices that automate the MAGE technology to facilitate rapid and continuous generation of a diverse set of genetic changes (mismatches, insertions, deletions). We applied MAGE to optimize the 1-deoxy-D-xylulose-5-phosphate (DXP) biosynthesis pathway in Escherichia coli to overproduce the industrially important isoprenoid lycopene. Twenty-four genetic components in the DXP pathway were modified simultaneously using a complex pool of synthetic DNA, creating over 4.3 billion combinatorial genomic variants per day. We isolated variants with more than fivefold increase in lycopene production within 3 days, a significant improvement over existing metabolic engineering techniques. Our multiplex approach embraces engineering in the context of evolution by expediting the design and evolution of organisms with new and improved properties.

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Transfer learning for cross-context prediction of protein expression from 5’UTR sequence
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BackgroundMethodInfluential
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Background
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BackgroundMethodInfluential
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BackgroundMethodResultInfluentialSelf-citation
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Method

Authors: Wang, H. H., Isaacs, F. J., Carr, P. A., Sun, Z. Z., Xu, G., Forest, C. R., & Church, G. M.
Affiliations: Harvard University (US)
MIT Media Lab (US)
Georgia Institute of Technology (US)
Corresponding author: Wang, Harris H.
Isaacs, Farren J.
ORCID: Wang, Harris H.
Isaacs, Farren J.
Carr, Peter A.
Sun, Zachary Z.
Xu, George
Forest, Craig R.
Church, George M.
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2009-07-26
Volume: 460
Issue: 7257
Pages: 894-898
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/nature08187
PMC: PMC4590770
OpenAlex: W2144779133
Cited by: 1,529
References: 32
Citations by year: 2026: 56 · 2025: 60 · 2024: 70 · 2023: 58 · 2022: 97 · 2021: 94 · 2020: 88 · 2019: 96 · 2018: 119 · 2017: 113 · 2016: 121 · 2015: 141 · 2014: 114 · 2013: 94 · 2012: 81
FWCI: 27.54
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Funders: National Institutes of Health (DP5OD009172)
National Defense Science and Engineering Graduate
Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords: accelerated evolution, directed evolution, genome editing, lycopene production, isoprenoid biosynthesis, Escherichia coli, synthetic DNA, metabolic engineering
MeSH terms: Lycopene, Alleles, Biotechnology, Carotenoids, Chromosomes, Bacterial, DNA, Escherichia coli, Pentosephosphates, Genetic Variation, Genome, Bacterial, Directed Molecular Evolution

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Programming cells by multiplex genome engineering and accelerated evolution

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