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Strategies to identify and edit improvements in synthetic genome segments episomally
Open accessPublished version of a preprint
Abstract
Genome engineering projects often utilize bacterial artificial chromosomes (BACs) to carry multi-kilobase DNA segments at low copy number. However, all stages of whole-genome engineering have the potential to impose mutations on the synthetic genome that can reduce or eliminate the fitness of the final strain. Here, we describe improvements to a multiplex automated genome engineering (MAGE) protocol to improve recombineering frequency and multiplexability. This protocol was applied to recoding an Escherichia coli strain to replace seven codons with synonymous alternatives genome wide. Ten 44 402–47 179 bp de novo synthesized DNA segments contained in a BAC from the recoded strain were unable to complement deletion of the corresponding 33–61 wild-type genes using a single antibiotic resistance marker. Next-generation sequencing (NGS) was used to identify 1–7 non-recoding mutations in essential genes per segment, and MAGE in turn proved a useful strategy to repair these mutations on the recoded segment contained in the BAC when both the recoded and wild-type copies of the mutated genes had to exist by necessity during the repair process. Finally, two web-based tools were used to predict the impact of a subset of non-recoding missense mutations on strain fitness using protein structure and function calls.
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Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Burley, S. K., Bhikadiya, C., Bi, C., Bittrich, S., Chen, L., Crichlow, G. V., Christie, C. H., Dalenberg, K., Di Costanzo, L., Duarte, J. M., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1038 · Cited by 1,581
Unified rational protein engineering with sequence-based deep representation learning
Alley, E. C., Khimulya, G., Biswas, S., AlQuraishi, M., & Church, G. M. (2019) · Nature Methods · doi:10.1038/s41592-019-0598-1 · Cited by 1,131 · cited 1×
“Here, a computational tool such as UniRep that is trained on related sequences and may be used to predict the likelihood of an amino acid occurring at a particular position in a sequence could prove to be more powerful (46).”
MethodSelf-citationLow-N protein engineering with data-efficient deep learning
Biswas, S., Khimulya, G., Alley, E. C., Esvelt, K. M., & Church, G. M. (2021) · Nature Methods · doi:10.1038/s41592-021-01100-y · Cited by 422
Self-citationUsing AlphaFold to predict the impact of single mutations on protein stability and function
Pak, M. A., Markhieva, K. A., Novikova, M. S., Petrov, D. S., Vorobyev, I. S., Maksimova, E. S., Kondrashov, F. A., & Ivankov, D. N. (2023) · PLOS One · doi:10.1371/journal.pone.0282689 · Cited by 322 · cited 2×
“Although this enormous undertaking represents a significant leap forward in computational biology, recent work has indicated the need for cautious optimism regarding the use of AlphaFold to predict the impact of individual mutations on a protein, encouraging researchers to bear in mind that protein function and protei…”
BackgroundMethodFATCAT 2.0: towards a better understanding of the structural diversity of proteins
Li, Z., Jaroszewski, L., Iyer, M., Sedova, M., & Godzik, A. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa443 · Cited by 231
Flagged first, then by citations
Research works printed but not linked: 61
- Ostrov, 2016, Design, synthesis, and testing toward a 57-codon genome, Science, 353, 819, 10.1126/science.aaf3639 · DOI
- Isaacs, 2011, Precise manipulation of chromosomes in vivo enables genome-wide codon replacement, Science, 333, 348, 10.1126/science.1205822 · DOI
- Lajoie, 2013, Genomically recoded organisms expand biological functions, Science, 342, 357, 10.1126/science.1241459 · DOI
- Fredens, 2019, Total synthesis of Escherichia coli with a recoded genome, Nature, 569, 514, 10.1038/s41586-019-1192-5 · DOI
- Venetz, 2019, Chemical synthesis rewriting of a bacterial genome to achieve design flexibility and biological functionality, Proc. Natl Acad. Sci. USA, 116, 8070, 10.1073/pnas.1818259116 · DOI
- Lau, 2017, Large-scale recoding of a bacterial genome by iterative recombineering of synthetic DNA, Nucleic Acids Res., 45, 6971, 10.1093/nar/gkx415 · DOI
- Annaluru, 2014, Total synthesis of a functional designer eukaryotic chromosome, Science, 344, 55, 10.1126/science.1249252 · DOI
- Mitchell, 2017, Synthesis, debugging, and effects of synthetic chromosome consolidation: synVI and beyond, Science, 355, eaaf4831, 10.1126/science.aaf4831 · DOI
- Pretorius, 2018, Yeast 2.0—connecting the dots in the construction of the world's first functional synthetic eukaryotic genome, FEMS Yeast Res., 18, foy032, 10.1093/femsyr/foy032 · DOI
- Napolitano, 2016, Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli, Proc. Natl Acad. Sci. USA, 113, E5588, 10.1073/pnas.1605856113 · DOI
- Wang, 2016, Defining synonymous codon compression schemes by genome recoding, Nature, 539, 59, 10.1038/nature20124 · DOI
- Robertson, 2021, Sense codon reassignment enables viral resistance and encoded polymer synthesis, Science, 372, 1057, 10.1126/science.abg3029 · DOI
- Mandell, 2015, Biocontainment of genetically modified organisms by synthetic protein design, Nature, 518, 55, 10.1038/nature14121 · DOI
- Ma, 2016, Genomic recoding broadly obstructs the propagation of horizontally transferred genetic elements, Cell Syst., 3, 199, 10.1016/j.cels.2016.06.009 · DOI
- Ma, 2018, Organisms with alternative genetic codes resolve unassigned codons via mistranslation and ribosomal rescue, eLife, 7, e34878, 10.7554/eLife.34878 · DOI
- Rovner, 2015, Recoded organisms engineered to depend on synthetic amino acids, Nature, 518, 89, 10.1038/nature14095 · DOI
- Calles, 2019, Fail-safe genetic codes designed to intrinsically contain engineered organisms, Nucleic Acids Res., 47, 10439, 10.1093/nar/gkz745 · DOI
- Nyerges, 2023, A swapped genetic code prevents viral infections and gene transfer, Nature, 615, 720, 10.1038/s41586-023-05824-z · DOI
- Wannier, 2018, Adaptive evolution of genomically recoded Escherichia coli, Proc. Natl Acad. Sci. USA, 115, 3090, 10.1073/pnas.1715530115 · DOI
- Choe, 2019, Adaptive laboratory evolution of a genome-reduced Escherichia coli, Nat. Commun., 10, 935, 10.1038/s41467-019-08888-6 · DOI
- Marlière, 2011, Chemical evolution of a bacterium's genome, Angew. Chem. Int. Ed., 50, 7109, 10.1002/anie.201100535 · DOI
- Gibson, 2008, Complete chemical synthesis, assembly, and cloning of a Mycoplasma genitalium genome, Science, 319, 1215, 10.1126/science.1151721 · DOI · Paper page
- Ellis, 2001, High efficiency mutagenesis, repair, and engineering of chromosomal DNA using single-stranded oligonucleotides, Proc. Natl Acad. Sci. USA, 98, 6742, 10.1073/pnas.121164898 · DOI
- Wang, 2009, Programming cells by multiplex genome engineering and accelerated evolution, Nature, 460, 894, 10.1038/nature08187 · DOI · Paper page
- Nyerges, 2016, A highly precise and portable genome engineering method allows comparison of mutational effects across bacterial species, Proc. Natl Acad. Sci, USA, 113, 2502, 10.1073/pnas.1520040113 · DOI
- Wannier, 2020, Improved bacterial recombineering by parallelized protein discovery, Proc. Natl Acad. Sci. USA, 117, 13689, 10.1073/pnas.2001588117 · DOI
- Wang, 2011, Modified bases enable high-efficiency oligonucleotide-mediated allelic replacement via mismatch repair evasion, Nucleic Acids Res., 39, 7336, 10.1093/nar/gkr183 · DOI
- Gallagher, 2014, Rapid editing and evolution of bacterial genomes using libraries of synthetic DNA, Nat. Protoc., 9, 2301, 10.1038/nprot.2014.082 · DOI
- Zeidler, 2019, Transgene recombineering in bacterial artificial chromosomes, Methods Mol. Biol., 1874, 43, 10.1007/978-1-4939-8831-0_3 · DOI
- Yang, 1997, Homologous recombination based modification in Escherichia coli and germline transmission in transgenic mice of a bacterial artificial chromosome, Nat. Biotechnol., 15, 859, 10.1038/nbt0997-859 · DOI · Paper page
- Jessen, 1998, Modification of bacterial artificial chromosomes through Chi-stimulated homologous recombination and its application in zebrafish transgenesis, Proc. Natl Acad. Sci. USA, 95, 5121, 10.1073/pnas.95.9.5121 · DOI
- Chan, 2007, A recombineering based approach for high-throughput conditional knockout targeting vector construction, Nucleic Acids Res., 35, e64, 10.1093/nar/gkm163 · DOI
- Muyrers, 1999, Rapid modification of bacterial artificial chromosomes by ET-recombination, Nucleic Acids Res., 27, 1555, 10.1093/nar/27.6.1555 · DOI
- Swaminathan, 2001, Rapid engineering of bacterial artificial chromosomes using oligonucleotides, Genesis, 29, 14, 10.1002/1526-968X(200101)29:1<14::AID-GENE1001>3.0.CO;2-X · DOI
- Sawitzke, 2013, Recombineering: highly efficient in vivo genetic engineering using single-strand oligos, Methods Enzymol., 533, 157, 10.1016/B978-0-12-420067-8.00010-6 · DOI
- Sharan, 2009, Recombineering: a homologous recombination-based method of genetic engineering, Nat. Protoc., 4, 206, 10.1038/nprot.2008.227 · DOI
- Warming, 2005, Simple and highly efficient BAC recombineering using galK selection, Nucleic Acids Res., 33, e36, 10.1093/nar/gni035 · DOI
- Pósfai, 2006, Emergent properties of reduced-genome Escherichia coli, Science, 312, 1044, 10.1126/science.1126439 · DOI
- Durfee, 2008, The complete genome sequence of Escherichia coli DH10B: insights into the biology of a laboratory workhorse, J. Bacteriol., 190, 2597, 10.1128/JB.01695-07 · DOI
- Blattner, 1997, The complete genome sequence of Escherichia coli K-12, Science, 277, 1453, 10.1126/science.277.5331.1453 · DOI
- Datsenko, 2000, One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products, Proc. Natl Acad. Sci. USA, 97, 6640, 10.1073/pnas.120163297 · DOI
- Langmead, 2012, Fast gapped-read alignment with Bowtie 2, Nat. Methods, 9, 357, 10.1038/nmeth.1923 · DOI · Paper page
- Montanucci, 2022, DDGun: an untrained predictor of protein stability changes upon amino acid variants, Nucleic Acids Res., 50, W222, 10.1093/nar/gkac325 · DOI
- Carr, 2012, Enhanced multiplex genome engineering through co-operative oligonucleotide co-selection, Nucleic Acids Res., 40, e132, 10.1093/nar/gks455 · DOI
- Lubock, 2017, A systematic comparison of error correction enzymes by next-generation sequencing, Nucleic Acids Res., 45, 9206, 10.1093/nar/gkx691 · DOI
- Naue, 2013, The helicase-binding domain of Escherichia coli DnaG primase interacts with the highly conserved C-terminal region of single-stranded DNA-binding protein, Nucleic Acids Res., 41, 4507, 10.1093/nar/gkt107 · DOI
- Sääf, 1998, Membrane topology of the 60-kDa Oxa1p homologue from Escherichia coli, J. Biol. Chem., 273, 30415, 10.1074/jbc.273.46.30415 · DOI · Paper page
- Senior, 2020, Improved protein structure prediction using potentials from deep learning, Nature, 577, 706, 10.1038/s41586-019-1923-7 · DOI · Paper page
- Buel, 2022, Can AlphaFold2 predict the impact of missense mutations on structure?, Nat. Struct. Mol. Biol., 29, 1, 10.1038/s41594-021-00714-2 · DOI · Paper page
- Schumacher, 2012, Role of unusual P-loop ejection and autophosphorylation in HipA-mediated persistence and multidrug tolerance, Cell Rep., 2, 518, 10.1016/j.celrep.2012.08.013 · DOI
- Keener, 1993, Dominant lethal phenotype of a mutation in the –35 recognition region of Escherichia coli sigma 70, Proc. Natl Acad. Sci. USA, 90, 1751, 10.1073/pnas.90.5.1751 · DOI
- Zhang, 2004, Scoring function for automated assessment of protein structure template quality, Proteins, 57, 702, 10.1002/prot.20264 · DOI · Paper page
- Camilloni, 2016, Towards a structural biology of the hydrophobic effect in protein folding, Sci. Rep., 6, 28285, 10.1038/srep28285 · DOI
- Meier, 2021, Language models enable zero-shot prediction of the effects of mutations on protein function, 10.1101/2021.07.09.450648 · DOI · Paper page
- Baba, 2006, Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection, Mol. Syst. Biol., 2006, 2006.0008, 10.1038/msb4100050 · DOI · Paper page
- Goodall, 2018, The essential genome of Escherichia coli K-12, mBio, 9, e02096-17, 10.1128/mBio.02096-17 · DOI
- Rousset, 2018, Genome-wide CRISPR-dCas9 screens in E. coli identify essential genes and phage host factors, PLoS Genet., 14, e1007749, 10.1371/journal.pgen.1007749 · DOI
- Jiang, 2023, How synonymous mutations alter enzyme structure and function over long timescales, Nat. Chem., 15, 308, 10.1038/s41557-022-01091-z · DOI
- DeFrancesco, 2021, Church to de-extinct woolly mammoths, Nat. Biotechnol., 39, 1171, 10.1038/s41587-021-01096-y · DOI
- Chen, 2022, Multiplex base editing to convert TAG into TAA codons in the human genome, Nat. Commun., 13, 4482, 10.1038/s41467-022-31927-8 · DOI
- Berg, 1975, Summary statement of the Asilomar conference on recombinant DNA molecules, Proc. Natl Acad. Sci. USA, 72, 1981, 10.1073/pnas.72.6.1981 · DOI
Metadata
- Authors
- Rudolph, A., Nyerges, A., Chiappino-Pepe, A., Landon, M., Baas-Thomas, M., & Church, G.
- Affiliations
- Harvard University (US)
- Department of Genetics, Harvard Medical School , Boston , MA 02115 , USA
- Corresponding author
- Rudolph, Alexandra
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-08-24
- Volume
- 51
- Issue
- 18
- Pages
- 10094-10106
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC10570025
- OpenAlex
- W4386116000
- Cited by
- 3
- References
- 6
- Citations by year
- 2025: 1 · 2024: 2
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- The United States Department of Energy (DE-FG02-02ER63445)
- 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 › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- recombineering, bacterial artificial chromosome, synthetic genome, genome editing, Escherichia coli, missense mutations, strain fitness, de novo DNA synthesis
- MeSH terms
- Gene Editing, Escherichia coli, Genetic Engineering, Mutation, Plasmids, Genome, Bacterial, Genes, Essential, Chromosomes, Artificial, Bacterial, High-Throughput Nucleotide Sequencing
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