Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

CRAGE enables rapid activation of biosynthetic gene clusters in undomesticated bacteria

Abstract

It is generally believed that exchange of secondary metabolite biosynthetic gene clusters (BGCs) among closely related bacteria is an important driver of BGC evolution and diversification. Applying this idea may help researchers efficiently connect many BGCs to their products and characterize the products’ roles in various environments. However, existing genetic tools support only a small fraction of these efforts. Here, we present the development of chassis-independent recombinase-assisted genome engineering (CRAGE), which enables single-step integration of large, complex BGC constructs directly into the chromosomes of diverse bacteria with high accuracy and efficiency. To demonstrate the efficacy of CRAGE, we expressed three known and six previously identified but experimentally elusive non-ribosomal peptide synthetase (NRPS) and NRPS-polyketide synthase (PKS) hybrid BGCs from Photorhabdus luminescens in 25 diverse γ-Proteobacteria species. Successful activation of six BGCs identified 22 products for which diversity and yield were greater when the BGCs were expressed in strains closely related to the native strain than when they were expressed in either native or more distantly related strains. Activation of these BGCs demonstrates the feasibility of exploiting their underlying catalytic activity and plasticity, and provides evidence that systematic approaches based on CRAGE will be useful for discovering and identifying previously uncharacterized metabolites.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Chromosomal integration of BGCs mediated through CRAGE.
Fig. 2: Design and architecture of BGC constructs.
Fig. 3: Expression of BGC4 in a panel of phylogenetically diverse chassis strains.
Fig. 4: Expression of BGC7 in a panel of phylogenetically diverse chassis strains.
Fig. 5: Relationship between secondary metabolite production and genetic identity for each representative chassis strain and P. luminescens subsp. laumondii TTO1.

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author upon request.

References

  1. Donia, M. S. & Fischbach, M. A. Human microbiota. Small molecules from the human microbiota. Science 349, 1254766 (2015).

    PubMed  PubMed Central  Google Scholar 

  2. Keller, N. P. Translating biosynthetic gene clusters into fungal armor and weaponry. Nat. Chem. Biol. 11, 671–677 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  3. Vorholt, J. A. Microbial life in the phyllosphere. Nat. Rev. Microbiol. 10, 828–840 (2012).

    CAS  PubMed  Google Scholar 

  4. Waters, C. M. & Bassler, B. L. Quorum sensing: cell-to-cell communication in bacteria. Annu. Rev. Cell Dev. Biol. 21, 319–346 (2005).

    CAS  PubMed  Google Scholar 

  5. Blacher, E., Levy, M., Tatirovsky, E. & Elinav, E. Microbiome-modulated metabolites at the interface of host immunity. J. Immunol. 198, 572–580 (2017).

    CAS  PubMed  Google Scholar 

  6. Pusztahelyi, T., Holb, I. J. & Pocsi, I. Secondary metabolites in fungus–plant interactions. Front. Plant Sci. 6, 573 (2015).

    PubMed  PubMed Central  Google Scholar 

  7. Kim, E., Moore, B. S. & Yoon, Y. J. Reinvigorating natural product combinatorial biosynthesis with synthetic biology. Nat. Chem. Biol. 11, 649–659 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Smanski, M. J. et al. Synthetic biology to access and expand nature’s chemical diversity. Nat. Rev. Microbiol. 14, 135–149 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Weber, T. et al. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Res. 43, W237–W243 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Skinnider, M. A. et al. Genomic charting of ribosomally synthesized natural product chemical space facilitates targeted mining. Proc. Natl Acad. Sci. USA 113, E6343–E6351 (2016).

    CAS  PubMed  Google Scholar 

  11. Mukherjee, S. et al. 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. Nat. Biotechnol. 35, 676–683 (2017).

    CAS  PubMed  Google Scholar 

  12. Hadjithomas, M. et al. IMG-ABC: a knowledge base to fuel discovery of biosynthetic gene clusters and novel secondary metabolites. mBio 6, e00932 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Rutledge, P. J. & Challis, G. L. Discovery of microbial natural products by activation of silent biosynthetic gene clusters. Nat. Rev. Microbiol. 13, 509–523 (2015).

    CAS  PubMed  Google Scholar 

  14. Cohen, L. J. et al. Commensal bacteria make GPCR ligands that mimic human signalling molecules. Nature 549, 48–53 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Guo, C. J. et al. Discovery of reactive microbiota-derived metabolites that inhibit host proteases. Cell 168, 517–526 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Shao, Z. et al. Refactoring the silent spectinabilin gene cluster using a plug-and-play scaffold. ACS Synth. Biol. 2, 662–669 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Wenzel, S. C. & Muller, R. Recent developments towards the heterologous expression of complex bacterial natural product biosynthetic pathways. Curr. Opin. Biotechnol. 16, 594–606 (2005).

    CAS  PubMed  Google Scholar 

  18. Fu, J. et al. Full-length RecE enhances linear-linear homologous recombination and facilitates direct cloning for bioprospecting. Nat. Biotechnol. 30, 440–446 (2012).

    CAS  PubMed  Google Scholar 

  19. Yoshikuni, Y., Ferrin, T. E. & Keasling, J. D. Designed divergent evolution of enzyme function. Nature 440, 1078–1082 (2006).

    CAS  PubMed  Google Scholar 

  20. Yoshikuni, Y., Dietrich, J. A., Nowroozi, F. F., Babbitt, P. C. & Keasling, J. D. Redesigning enzymes based on adaptive evolution for optimal function in synthetic metabolic pathways. Chem. Biol. 15, 607–618 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Ziemert, N. et al. Diversity and evolution of secondary metabolism in the marine actinomycete genus Salinispora. Proc. Natl Acad. Sci. USA 111, E1130–E1139 (2014).

    CAS  PubMed  Google Scholar 

  22. Jensen, P. R. Natural products and the gene cluster revolution. Trends Microbiol. 24, 968–977 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Soucy, S. M., Huang, J. & Gogarten, J. P. Horizontal gene transfer: building the web of life. Nat. Rev. Genet. 16, 472–482 (2015).

    CAS  PubMed  Google Scholar 

  24. Williams, K. P. et al. Phylogeny of Gammaproteobacteria. J. Bacteriol. 192, 2305–2314 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  25. McDonald, B. R. & Currie, C. R. Lateral gene transfer dynamics in the ancient bacterial genus Streptomyces. mBio 8, e00644–12 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Williams, D., Gogarten, J. P. & Papke, R. T. Quantifying homologous replacement of loci between Haloarchaeal species. Genome Biol. Evol. 4, 1223–1244 (2012).

    PubMed  PubMed Central  Google Scholar 

  27. Engel, Y., Windhorst, C., Lu, X., Goodrich-Blair, H. & Bode, H. B. The global regulators Lrp, LeuO and HexA control secondary metabolism in entomopathogenic bacteria. Front. Microbiol. 8, 209 (2017).

    PubMed  PubMed Central  Google Scholar 

  28. Iqbal, H. A., Low-Beinart, L., Obiajulu, J. U. & Brady, S. F. Natural product discovery through improved functional metagenomics in Streptomyces. J. Am. Chem. Soc. 138, 9341–9344 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Nah, H. J., Pyeon, H. R., Kang, S. H., Choi, S. S. & Kim, E. S. Cloning and heterologous expression of a large-sized natural product biosynthetic gene cluster in Streptomyces species. Front. Microbiol. 8, 394 (2017).

    PubMed  PubMed Central  Google Scholar 

  30. Bierman, M. et al. Plasmid cloning vectors for the conjugal transfer of DNA from Escherichia coli to Streptomyces spp. Gene 116, 43–49 (1992).

    CAS  PubMed  Google Scholar 

  31. Gregory, M. A., Till, R. & Smith, M. C. Integration site for Streptomyces phage phiBT1 and development of site-specific integrating vectors. J. Bacteriol. 185, 5320–5323 (2003).

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Brophy, J. A. N. et al. Engineered integrative and conjugative elements for efficient and inducible DNA transfer to undomesticated bacteria. Nat. Microbiol. 3, 1043–1053 (2018).

    CAS  PubMed  Google Scholar 

  33. Wozniak, R. A. & Waldor, M. K. Integrative and conjugative elements: mosaic mobile genetic elements enabling dynamic lateral gene flow. Nat. Rev. Microbiol. 8, 552–563 (2010).

    CAS  PubMed  Google Scholar 

  34. Santos, C. N., Regitsky, D. D. & Yoshikuni, Y. Implementation of stable and complex biological systems through recombinase-assisted genome engineering. Nat. Commun. 4, 2503 (2013).

    PubMed  Google Scholar 

  35. Santos, C. N. & Yoshikuni, Y. Engineering complex biological systems in bacteria through recombinase-assisted genome engineering. Nat. Protoc. 9, 1320–1336 (2014).

    CAS  PubMed  Google Scholar 

  36. Lampe, D. J., Akerley, B. J., Rubin, E. J., Mekalanos, J. J. & Robertson, H. M. Hyperactive transposase mutants of the Himar1 mariner transposon. Proc. Natl Acad. Sci. USA 96, 11428–11433 (1999).

    CAS  PubMed  Google Scholar 

  37. Hickman, A. B., Chandler, M. & Dyda, F. Integrating prokaryotes and eukaryotes: DNA transposases in light of structure. Crit. Rev. Biochem. Mol. Biol. 45, 50–69 (2010).

    PubMed  PubMed Central  Google Scholar 

  38. Dubendorff, J. W. & Studier, F. W. Controlling basal expression in an inducible T7 expression system by blocking the target T7 promoter with lac repressor. J. Mol. Biol. 219, 45–59 (1991).

    CAS  PubMed  Google Scholar 

  39. Bilyk, B., Horbal, L. & Luzhetskyy, A. Chromosomal position effect influences the heterologous expression of genes and biosynthetic gene clusters in Streptomyces albus J1074. Micro. Cell Fact. 16, 5 (2017).

    Google Scholar 

  40. Englaender, J. A. et al. Effect of genomic integration location on heterologous protein expression and metabolic engineering in E. coli. ACS Synth. Biol. 6, 710–720 (2017).

    CAS  PubMed  Google Scholar 

  41. Sousa, C., de Lorenzo, V. & Cebolla, A. Modulation of gene expression through chromosomal positioning in Escherichia coli. Microbiology 143, 2071–2078 (1997).

    CAS  PubMed  Google Scholar 

  42. Moriguchi, K., Yamamoto, S., Ohmine, Y. & Suzuki, K. A fast and practical yeast transformation method mediated by Escherichia coli based on a trans-kingdom conjugal transfer system: just mix two cultures and wait one hour. PLoS ONE 11, e0148989 (2016).

    PubMed  PubMed Central  Google Scholar 

  43. Frost, L. S. in Encyclopedia of Microbiology 3rd edn (Ed. Baldauf, S. L. et al.) 517–531 (2009).

  44. Trieu-Cuot, P., Carlier, C., Martin, P. & Courvalin, P. Plasmid transfer by conjugation from Escherichia coli to Gram-positive bacteria. FEMS Microbiol. Lett. 48, 289–294 (1987).

    CAS  Google Scholar 

  45. Forst, S., Dowds, B., Boemare, N. & Stackebrandt, E. Xenorhabdus and Photorhabdus spp.: bugs that kill bugs. Annu. Rev. Microbiol. 51, 47–72 (1997).

    CAS  PubMed  Google Scholar 

  46. Somvanshi, V. S. et al. A single promoter inversion switches Photorhabdus between pathogenic and mutualistic states. Science 337, 88–93 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Stock, S. P., Kusakabe, A. & Orozco, R. A. Secondary metabolites produced by Heterorhabditis symbionts and their application in agriculture: what we know and what to do next. J. Nematol. 49, 373–383 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Bode, H. B. Entomopathogenic bacteria as a source of secondary metabolites. Curr. Opin. Chem. Biol. 13, 224–230 (2009).

    CAS  PubMed  Google Scholar 

  49. Tobias, N. J. et al. Natural product diversity associated with the nematode symbionts Photorhabdus and Xenorhabdus. Nat. Microbiol. 2, 1676–1685 (2017).

    CAS  PubMed  Google Scholar 

  50. Cai, X. et al. Entomopathogenic bacteria use multiple mechanisms for bioactive peptide library design. Nat. Chem. 9, 379–386 (2017).

    CAS  PubMed  Google Scholar 

  51. Duchaud, E. et al. The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens. Nat. Biotechnol. 21, 1307–1313 (2003).

    CAS  PubMed  Google Scholar 

  52. Dudnik, A., Bigler, L. & Dudler, R. Heterologous expression of a Photorhabdus luminescens syrbactin-like gene cluster results in production of the potent proteasome inhibitor glidobactin A. Microbiol. Res. 168, 73–76 (2013).

    CAS  PubMed  Google Scholar 

  53. Bian, X., Plaza, A., Zhang, Y. & Muller, R. Luminmycins A–C, cryptic natural products from Photorhabdus luminescens identified by heterologous expression in Escherichia coli. J. Nat. Prod. 75, 1652–1655 (2012).

    CAS  PubMed  Google Scholar 

  54. Schimming, O., Fleischhacker, F., Nollmann, F. I. & Bode, H. B. Yeast homologous recombination cloning leading to the novel peptides ambactin and xenolindicin. Chembiochem 15, 1290–1294 (2014).

    CAS  PubMed  Google Scholar 

  55. Nollmann, F. I. et al. Insect-specific production of new GameXPeptides in Photorhabdus luminescens TTO1, widespread natural products in entomopathogenic bacteria. Chembiochem 16, 205–208 (2015).

    CAS  PubMed  Google Scholar 

  56. Bian, X., Plaza, A., Yan, F., Zhang, Y. & Muller, R. Rational and efficient site-directed mutagenesis of adenylation domain alters relative yields of luminmide derivatives in vivo. Biotechnol. Bioeng. 112, 1343–1353 (2015).

    CAS  PubMed  Google Scholar 

  57. Bode, E. et al. Simple ‘on-demand’ production of bioactive natural products. Chembiochem 16, 1115–1119 (2015).

    CAS  PubMed  Google Scholar 

  58. Bode, H. B. et al. Structure elucidation and activity of kolossin A, the d-/l-pentadecapeptide product of a giant nonribosomal peptide synthetase. Angew. Chem. Int. Ed. 54, 10352–10355 (2015).

    CAS  Google Scholar 

  59. Lambalot, R. H. et al. A new enzyme superfamily—the phosphopantetheinyl transferases. Chem. Biol. 3, 923–936 (1996).

    CAS  PubMed  Google Scholar 

  60. Winson, M. K. et al. Engineering the luxCDABE genes from Photorhabdus luminescens to provide a bioluminescent reporter for constitutive and promoter probe plasmids and mini-Tn5 constructs. FEMS Microbiol. Lett. 163, 193–202 (1998).

    CAS  PubMed  Google Scholar 

  61. Pfeifer, B. A., Admiraal, S. J., Gramajo, H., Cane, D. E. & Khosla, C. Biosynthesis of complex polyketides in a metabolically engineered strain of E. coli. Science 291, 1790–1792 (2001).

    CAS  PubMed  Google Scholar 

  62. Stein, M. L. et al. One-shot NMR analysis of microbial secretions identifies highly potent proteasome inhibitor. Proc. Natl Acad. Sci. USA 109, 18367–18371 (2012).

    CAS  PubMed  Google Scholar 

  63. Theodore, C. M., King, J. B., You, J. & Cichewicz, R. H. Production of cytotoxic glidobactins/luminmycins by Photorhabdus asymbiotica in liquid media and live crickets. J. Nat. Prod. 75, 2007–2011 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  64. DeFelice, B. C. et al. Mass spectral feature list optimizer (MS-FLO): a tool to minimize false positive peak reports in untargeted liquid chromatography-mass spectroscopy (LC-MS) data processing. Anal. Chem. 89, 3250–3255 (2017).

    CAS  PubMed  Google Scholar 

  65. Myers, O. D., Sumner, S. J., Li, S., Barnes, S. & Du, X. One step forward for reducing false positive and false negative compound identifications from mass spectrometry metabolomics data: new algorithms for constructing extracted ion chromatograms and detecting chromatographic peaks. Anal. Chem. 89, 8696–8703 (2017).

    CAS  PubMed  Google Scholar 

  66. Clevenger, K. D. et al. A scalable platform to identify fungal secondary metabolites and their gene clusters. Nat. Chem. Biol. 13, 895–901 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  67. Zhao, L., Cai, X., Kaiser, M. & Bode, H. B. Methionine-containing rhabdopeptide/xenortide-like peptides from heterologous expression of the biosynthetic gene cluster kj12ABC in Escherichia coli. J. Nat. Prod. 81, 2292–2295 (2018).

    CAS  PubMed  Google Scholar 

  68. Harding, C. R., Schroeder, G. N., Collins, J. W. & Frankel, G. Use of Galleria mellonella as a model organism to study Legionella pneumophila infection. J. Vis. Exp. 2013, e50964 (2013).

    Google Scholar 

  69. Louwerse, J. D. et al. Stable recombinase-mediated cassette exchange in arabidopsis using Agrobacterium tumefaciens. Plant Physiol. 145, 1282–1293 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  70. Glaser, S., Anastassiadis, K. & Stewart, A. F. Current issues in mouse genome engineering. Nat. Genet. 37, 1187–1193 (2005).

    CAS  PubMed  Google Scholar 

  71. Xu, Z. et al. Large-scale transposition mutagenesis of Streptomyces coelicolor identifies hundreds of genes influencing antibiotic biosynthesi. Appl. Environ. Microbiol. 83, e02889-16 (2017).

    PubMed  PubMed Central  Google Scholar 

  72. Suzuki, H., Takahashi, S., Osada, H. & Yoshida, K. Improvement of transformation efficiency by strategic circumvention of restriction barriers in Streptomyces griseus. J. Microbiol. Biotechnol. 21, 675–678 (2011).

    PubMed  Google Scholar 

  73. Pfeifer, B. A., Admiraal, S. J., Gramajo, H., Cane, D. E. & Khosla, C. Biosynthesis of complex polyketides in a metabolically engineered strain of E. coli. Science 291, 1790–1792 (2001).

    CAS  PubMed  Google Scholar 

  74. Wetmore, K. M. et al. Rapid quantification of mutant fitness in diverse bacteria by sequencing randomly bar-coded transposons. mBio 6, e00306–e00315 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  75. Anastassiadis, K. et al. Dre recombinase, like Cre, is a highly efficient site-specific recombinase in E. coli, mammalian cells and mice. Dis. Model. Mech. 2, 508–515 (2009).

    CAS  PubMed  Google Scholar 

  76. Salis, H. M. The ribosome binding site calculator. Method Enzym. 498, 19–42 (2011).

    CAS  Google Scholar 

  77. Kouprina, N. & Larionov, V. Transformation-associated recombination (TAR) cloning for genomics studies and synthetic biology. Chromosoma 125, 621–632 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  78. Wargacki, A. J. et al. An engineered microbial platform for direct biofuel production from brown macroalgae. Science 335, 308–313 (2012).

    CAS  PubMed  Google Scholar 

  79. Clasquin, M. F., Melamud, E. & Rabinowitz, J. D. LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine. Curr. Protoc. Bioinformatics 14, 14.11.1–14.11.23 (2012).

    Google Scholar 

  80. Pluskal, T., Castillo, S., Villar-Briones, A. & Oresic, M. MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data. BMC Bioinformatics 11, 395 (2010).

    PubMed  PubMed Central  Google Scholar 

  81. Wesche, F. et al. Combined approach of backbone amide linking and on-resin N-methylation for the synthesis of bioactive and metabolically stable peptides. J. Med. Chem. 61, 3930–3938 (2018).

    CAS  PubMed  Google Scholar 

  82. Nollmann, F. I. et al. Synthesis of szentiamide, a depsipeptide from entomopathogenic Xenorhabdus szentirmaii with activity against Plasmodium falciparum. Beilstein J. Org. Chem. 8, 528–533 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  83. Bodenhausen, G. & Ruben, D. J. Natural abundance N-15 NMR by enhanced heteronuclear spectroscopy. Chem. Phys. Lett. 69, 185–189 (1980).

    CAS  Google Scholar 

  84. Bax, A. & Summers, M. F. 1H and 13C assignments from sensitivity-enhanced detection of heteronuclear multiple-bond connectivity by 2D multiple quantum NMR. J. Am. Chem. Soc. 108, 2093–2094 (1986).

    CAS  Google Scholar 

  85. Braunschweiler, L. & Ernst, R. R. Coherence transfer by isotropic mixing—application to proton correlation spectroscopy. J. Magn. Reson. 53, 521–528 (1983).

    CAS  Google Scholar 

  86. Lerner, L. & Bax, A. Sensitivity-enhanced two-dimensional heteronuclear relayed coherence transfer NMR-spectroscopy. J. Magn. Reson. 69, 375–380 (1986).

    CAS  Google Scholar 

  87. Rance, M. et al. Improved spectral resolution in Cosy H-1-NMR spectra of proteins via double quantum filtering. Biochem. Biophys. Res. Commun. 117, 479–485 (1983).

    CAS  PubMed  Google Scholar 

  88. Delaglio, F. et al. NMRpipe—a multidimensional spectral processing system based on unix pipes. J. Biomol. NMR 6, 277–293 (1995).

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The work conducted by the US Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, is supported under contract no. DE-AC02-05CH11231. The work performed by the Environmental Molecular Sciences Laboratory, a National Scientific User Facility sponsored by DOE’s Office of Biological and Environmental Research and located at PNNL, is operated by Battelle for the DOE under contract no. DE-AC05-76RL01830. Work in the Bode laboratory was supported by the DFG within the priority programme SPP1617 and the LOEWE Center for Translational Biodiversity Genomics (LOEWE TBG). We thank A. Wahler for professional editing support and P. Jensen for reading and commenting on our manuscript. We thank A. Deutschbauer for providing the pKMW2 plasmid and W.W. Metcalf for providing the E. coli BW29427 strain.

Author information

Authors and Affiliations

Authors

Contributions

G.W., Z. Zhao, D.R., R.E., S.D., J.-F.C. and Y.Y. designed and built all CRAGE and BGC constructs. G.W., Z. Zhao, Y.M. and K.C. performed QA/QC of all CRAGE transformation and analysed lux expression. G.W. and J.K. performed and analysed BGC expression and metabolite production in multiple chassis. K.L., S.K., M.D.R., L.S. and T.N. performed LC-HRMS analyses. G.W., J.K., Z. Zhang, Y.E., Y.-M.S., B.B. and L.S. performed both targeted and untargeted metabolite analyses. Y.E., Y.-M.S. and H.B.B. performed structural characterization of metabolites from BGC7. Y.E., Y.-M.S., K.B., D.W.H., N.M.W., C.F., A. Luhrs, A. Lubbe and H.B.B. performed structural characterization of metabolites from BGC5. G.W., Z. Zhao and B.W. extended the utility of CRAGE to α- and β-Proteobacteria and Actinobacteria. B.W. and H.O. tried to extend the utility of CRAGE to Streptomyces sp. G.W., J.K., Y.-M.S., E.M.R., N.J.M., A.V., H.B.B. and Y.Y. wrote the manuscript. H.B.B. and Y.Y. supervised the study.

Corresponding authors

Correspondence to Helge B. Bode or Yasuo Yoshikuni.

Ethics declarations

Competing interests

Lawrence Berkeley National Laboratory filed a United States patent application for CRAGE technology (US patent 20190048354). The patent is currently pending. The application lists Y.Y., G.W., Z. Zhao., J.F.C. and D.R. as inventors.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–32, Supplementary Tables 8–10, Supplementary Results, Supplementary Dataset legends and Supplementary References.

Reporting Summary

Supplementary Tables

Supplementary Tables 1–7 and Supplementary Tables 11–14.

Supplementary Dataset 1

DNA sequence of the pW5Y-Apr plasmid.

Supplementary Dataset 2

DNA sequence of the pW17 plasmid.

Supplementary Dataset 3

DNA sequence of the pW34 plasmid.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, G., Zhao, Z., Ke, J. et al. CRAGE enables rapid activation of biosynthetic gene clusters in undomesticated bacteria. Nat Microbiol 4, 2498–2510 (2019). https://doi.org/10.1038/s41564-019-0573-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41564-019-0573-8

This article is cited by

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research