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:

Widespread biosynthesis of 16-carbon terpenoids in bacteria

Abstract

Terpenoids are the most diverse group of specialized metabolites with numerous applications. Their biosynthesis is based on the five-carbon isoprene building block and, as a result, almost all terpenoids isolated to date are based on backbones that contain multiples of five carbon atoms. Intrigued by the discovery of an unusual bacterial terpenoid with a 16-carbon skeleton, here we investigate whether the biosynthesis of 16-carbon terpenoids is more widespread than this single example. We mine bacterial genomic information and identify potential C16 biosynthetic clusters in more than 700 sequenced genomes. We study selected clusters using a yeast synthetic biology platform and reveal that the encoded synthases produce at least 47 different noncanonical terpenoids. By thorough chemical analysis, we explain the structures of 13 C16 metabolites, most of which possess intricate highly strained bi- and tricyclic backbones. Our results unveil the existence of an extensive class of terpenoids in bacteria.

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: The identified gene clusters can be classified into four distinct types.
Fig. 2: Heatmap showing the product profile of the analyzed terpene synthases.
Fig. 3: Terpene synthases belonging to type 1 clusters produce intricate bi- and tricyclic terpene scaffolds.
Fig. 4: Characteristic examples and products of terpene synthases present in type 2 clusters.
Fig. 5: Characteristic examples of type 3 clusters and products of corresponding terpene synthases with PSPP as substrate.

Similar content being viewed by others

Data availability

The data that support the findings of this study are available within the main text and its Supplementary Information file. Source data are provided with this paper. The NCBI RefSeq Genome Database (https://www.ncbi.nlm.nih.gov/refseq/) was used for biosynthetic gene cluster analysis and the identified clusters are provided in the source data for Fig. 1 file. Data are also available from the corresponding author upon request.

References

  1. Paddon, C. J. et al. High-level semi-synthetic production of the potent antimalarial artemisinin. Nature 496, 528–532 (2013).

    Article  CAS  PubMed  Google Scholar 

  2. Ajikumar, P. K. et al. Isoprenoid pathway optimization for taxol precursor overproduction in Escherichia coli. Science 330, 70–74 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Denby, C. M. et al. Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer. Nat. Commun. 9, 965 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Davidovich-Rikanati, R. et al. Enrichment of tomato flavor by diversion of the early plastidial terpenoid pathway. Nat. Biotechnol. 25, 899–901 (2007).

    Article  CAS  PubMed  Google Scholar 

  5. Peralta-Yahya, P. et al. Microbial engineering for the production of advanced biofuels. Nature 488, 320–328 (2012).

    Article  CAS  PubMed  Google Scholar 

  6. Goff, S. A. & Klee, H. J. Plant volatile compounds: sensory cues for health and nutritional value? Science 311, 815–819 (2006).

    Article  CAS  PubMed  Google Scholar 

  7. Zeng, T. et al. TeroKit: a database-driven web server for terpenome research. J. Chem. Inf. Model. 60, 2082–2090 (2020).

    Article  CAS  PubMed  Google Scholar 

  8. Dewick, P. M. Medicinal Natural Products: A Biosynthetic Approach 3rd edn (John Wiley & Sons, 2009).

  9. Komatsu, M. et al. Identification and functional analysis of genes controlling biosynthesis of 2-methylisoborneol. Proc. Natl Acad. Sci. USA 105, 7422–7427 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wang, C.-M. & Cane, D. E. Biochemistry and molecular genetics of the biosynthesis of the earthy odorant methylisoborneol in Streptomyces coelicolor. J. Am. Chem. Soc. 130, 8908–8909 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Giglio, S. et al. Biosynthesis of 2-methylisoborneol in cyanobacteria. Environ. Sci. Technol. 45, 992–998 (2011).

    Article  CAS  PubMed  Google Scholar 

  12. Chou, W. K. W., Ikeda, H. & Cane, D. E. Cloning and characterization of Pfl_1841, a 2-methylenebornane synthase in Pseudomonas fluorescens PfO-1. Tetrahedron 67, 6627–6632 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. von Reuss, S. H. et al. Octamethylbicyclo[3.2.1]octadienes from the rhizobacterium Serratia odorifera. Angew. Chem. Int. Ed. 49, 2009–2010 (2010).

    Article  CAS  Google Scholar 

  14. von Reuss, S. et al. Sodorifen biosynthesis in the rhizobacterium Serratia plymuthica involves methylation and cyclization of MEP-derived farnesyl pyrophosphate by a SAM-dependent C-methyltransferase. J. Am. Chem. Soc. 140, 11855–11862 (2018).

    Article  Google Scholar 

  15. Duell, E. R. et al. Direct pathway cloning of the sodorifen biosynthetic gene cluster and recombinant generation of its product in E. coli. Microb. Cell Fact. 18, 32 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Ignea, C. et al. Expanding the terpene biosynthetic code with non-canonical 16 carbon atom building blocks. Nat. Commun. 13, 5188 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Ignea, C. et al. Positive genetic interactors of HMG2 identify a new set of genetic perturbations for improving sesquiterpene production in Saccharomyces cerevisiae. Microb. Cell Fact. 11, 162 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Dusséaux, S. et al. Transforming yeast peroxisomes into microfactories for the efficient production of high-value isoprenoids. Proc. Natl Acad. Sci. USA 117, 31789–31799 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  20. Ignea, C. et al. Orthogonal monoterpenoid biosynthesis in yeast constructed on an isomeric substrate. Nat. Commun. 10, 3799 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Pateraki, I., Heskes, A. M. & Hamberger, B. Cytochromes P450 for terpene functionalisation and metabolic engineering. Adv. Biochem. Eng. Biotechnol. 148, 107–139 (2015).

    CAS  PubMed  Google Scholar 

  22. Barry, S. M. & Challis, G. L. Mechanism and catalytic diversity of Rieske non-heme iron-dependent oxygenases. ACS Catal. 3, 2362–2370 (2013).

  23. Yamada, Y. et al. Terpene synthases are widely distributed in bacteria. Proc. Natl Acad. Sci. USA 112, 857–862 (2015).

    Article  CAS  PubMed  Google Scholar 

  24. Ignea, C. et al. Synthesis of 11-carbon terpenoids in yeast using protein and metabolic engineering. Nat. Chem. Biol. 14, 1090–1098 (2018).

    Article  CAS  PubMed  Google Scholar 

  25. Schmidt, R. et al. Fungal volatile compounds induce production of the secondary metabolite Sodorifen in Serratia plymuthica PRI-2C. Sci. Rep. 7, 862 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kai, M. & Piechulla, B. Interspecies interaction of Serratia plymuthica 4Rx13 and Bacillus subtilis B2g alters the emission of sodorifen. FEMS Microbiol. Lett. 365, fny253 (2018).

    CAS  Google Scholar 

  27. Gilchrist, C. L. M. & Chooi, Y.-H. Clinker & clustermap.js: automatic generation of gene cluster comparison figures. Bioinformatics 37, 2473–2475 (2021).

    Article  CAS  PubMed  Google Scholar 

  28. Forman, V. et al. A gene cluster in Ginkgo biloba encodes unique multifunctional cytochrome P450s that initiate ginkgolide biosynthesis. Nat. Commun. 13, 5143 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Gietz, R. D. & Schiestl, R. H. High-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method. Nat. Protoc. 2, 31–34 (2007).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to F. Geu-Flores (University of Copenhagen) and K. Miettinen (University of Copenhagen) for critical manuscript reading. We thank J. Olsen and M. Ramirez (University of Copenhagen) for their assistance in running analytical instruments. This work was financially supported by the Novo Nordisk Foundation grant nos. NNF19OC0055204 and NNF22OC0080100 (to S.C.K.). Work at the National and Kapodistrian University of Athens was supported by the research project BioNP (grant no. 70/3/14685 to E.I.). Y.-T.D. acknowledges the Chinese Scholarship Council for a PhD scholarship (CSC grant no. 201904910446).

Author information

Authors and Affiliations

Authors

Contributions

S.C.K. conceived the study. S.C.K. and Y.-T.D. performed bioinformatics analysis. Y.-T.D., C.I., Y.Z., V.R., E.I. and S.C.K. designed experiments. Y.-T.D., C.I. and Y.Z. conducted all cloning, engineering of S. cerevisiae and chromatographic data analysis. Y.-T.D. and Y.Z. performed large-scale yeast cultivation and extraction. A.K., M.H. and E.I. conducted the isolation of C16 terpenoids from yeast cultures and analyzed NMR data. Y.-T.D., Y.Z., V.R., E.I. and S.C.K. wrote the paper. All authors read and commented on the final version of the paper.

Corresponding authors

Correspondence to Yong Zhao, Efstathia Ioannou or Sotirios C. Kampranis.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Chemical Biology thanks Yang Hai, Kui Hong and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

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

Extended data

Extended Data Fig. 1 Phylogenetic analysis of the different methyltransferase proteins encoded in the 40 investigated clusters.

Enzymes selected for further characterization are indicated in bold. The 2-methyl-GPP synthase from Pseudoanabaena limnetica (GPPMTase) is included in the analysis for comparison. Phylogenetic tree constructed with MEGA v11.0.13 (www.megasoftware.net). Source data are provided as a Source Data file.

Extended Data Fig. 2 Functional characterization of selected methyltransferases.

GC–MS chromatograms of the extracts of yeast cells expressing the different selected methyltransferase genes. All methyltransferases belonging to clade α analyzed in this experiment produced predominantly PSPP. This was confirmed by the detection of its hydrolysis products presodorifelool, presodorifenol, and 2,3-dihydro-presodorifenol. The same products were also synthesized by the prototypical PSPP synthase, SpSodMT. Enzymes belonging to the MTβ group did not produce any new product. List of methyltransferases analyzed and abbreviations used: Burkholderia singularis strain TSV85 MTα (BsMTα), Burkholderia territorii strain SCHI0024 MTα (BtMTα), Pseudomonas marginalis pv. marginalis strain ICMP 14937 MTα (PmMTα), Mesorhizobium sp. strain IRAMC:0171 MTα (Ms1MTα), Morganella morganii strain AR_0133 MTα (MmMTα), Burkholderia multivorans MTα (BmMTα), Pseudomonas chlororaphis strain PA23 MTα (PcMTα), Pseudomonas fluorescens strain FW300-N2E3MTα (PfMTα), Burkholderia pyrrocinia strain DSM 10685 MTα (BpMTα), Pseudomonas lini strain DSM 16768 MTα (PlMTα), P. chlororaphis strain Lzh-T5 MTβ (PcT5MTβ), B. territorii strain SCHI0024 MTβ (BtTPS-MTβ), Burkholderia cepacia strain MTβ (BcTPS-MTβ). Source data is provided as a Source Data file.

Source data

Extended Data Fig. 3 Product profiles of yeast cells expressing selected terpene synthases and SpSodMT.

GC-APCI-qToF-HRMS (coupled gas chromatography/atmospheric pressure chemical ionization/quadrupole-time-of-flight/high resolution mass spectrometry) ion-extracted chromatograms (EIC, [M + H]+ = 219.2107 ± 0.001 for the putative molecular formula C16H26) showing the product profile of yeast cells co-expressing SpSodMT and different terpene synthases (blue) versus three control strains: yeast cells expressing only SpSodMT (black), yeast cells expressing only the terpene synthase gene (red), and yeast cells carrying two empty vectors (yellow). a. Yeast cells expressing BsmTPS produced five C16 compounds (1, 14-17). b. Yeast cells expressing PfTPS produced two C16 compounds, compounds 2 and 18. c. Yeast cells expressing PbTPS produced seven C16 compounds (3, 19-24). d. Yeast cells expressing BpTPS produced two C16 compounds (3 and 4). e. Yeast cells expressing PcTPS produced six C16 compounds (5, 25-29). f. Yeast cells expressing SsTPS produced one C16 compound (25). g. Yeast cells expressing Vs01TPS2 produced one C16 compound (23). h. Yeast cells expressing Ms1TPS2 produced two C16 compounds (30 and 31). i. Yeast cells expressing PmaTPS2 produced compounds 32, 33, and 34. j. Yeast cells expressing Pc66TPS1 produced compound 35. k. Yeast cells expressing PczmTPS2 produced thirteen C16 compounds (6-8, 15, 36-44). l. Yeast cells expressing PcT5TPS1 produced eight C16 compounds (9-13, 45-47). m. Yeast cells expressing PlTPS produced compounds 3, 19-24. n. Yeast cells expressing PccTPS produced compounds 3, 19-24. o. Yeast cells expressing BsTPS3 produced compounds 3 and 4. p. Yeast cells expressing MmTPS produced compounds 3 and 4. q. Yeast cells expressing PmaTPS1 produced compound 5. r. Yeast cells expressing BuTPS produced two C16 compounds 5 and 25. Characterization of compounds 1-47 as putative C16 terpenoids was based on their high-resolution APCI-MS (HR-APCI-MS) spectra shown in Supplementary Note 1. The structures of compounds 1-13 were subsequently elucidated by analysis of their NMR data after their isolation in pure form. Compounds 1-13 are indicated in bold. Figure composed using MS PowerPoint.

Extended Data Fig. 4 Product profiles of selected terpene synthases determined using in vitro activity assays.

GC-APCI-QqToF ion-extracted chromatograms (EIC, [M + H]+ = 219.2107 ± 0.001 for the putative molecular formula C16H26) for in vitro activity assays using extracts from yeast cells expressing SpSodMT and different terpene synthases as enzyme source (a-r). Yeast cells expressing only SpSodMT (black) and yeast cells carrying two empty vectors (yellow) were used as controls. SAM and FPP were used as substrates in all the experiments (details in Methods section). Figure composed using MS PowerPoint.

Extended Data Fig. 5 Metabolic engineering to improve the titer of heraclitene.

When both the BsmTPS and SpSodMT genes were co-expressed from high-copy number plasmids in AM109 yeast cells, the titer of compound 1 was 4.2 mg/L. Assuming that this could be due to limited substrate availability, we set out to improve the supply of PSPP. We constructed a fusion of the yeast FPP synthase Erg20p with SpSodMT, in order to increase the levels of FPP and at the same time improve its channeling to SpSodMT. Expression of the gene fusion from a high-copy number plasmid led to only marginal improvement in the titer of compound 1, suggesting that PSPP availability was not the limiting factor at this stage. Thus, we considered that conversion of PSPP by the terpene synthase may be the limiting step. To address this, we constructed a fusion between BsmTPS and Erg20p. This led to a 2-fold increase in the titer of 1, reaching 8.2 mg/L, when the ERG20-BsmTPS gene fusion was expressed together with SpSodMT. When both ERG20-SpSodMT and ERG20-BsmTPS fusions were co-expressed, no further improvement was obtained, confirming the earlier observation that PSPP availability was not limiting. To further improve production, we then proceeded to construct a yeast strain (AM109-97) where the SpSodMT and ERG20-BsmTPS genes were integrated into the genome because this leads to stable and robust production. Genomic integration resulted in a remarkable 56-fold increase in the titer of compound 1, reaching 231.7 mg/L. Error bars show standard error of the mean of three independent biological replicates (n = 3). Analysis was carried our using Microsoft Office Professional Plus 2016 (Microsoft Excel). Source data is provided as a Source Data file.

Source data

Supplementary information

Supplementary Information

Supplementary Tables 1–3, Figs. 1–3 and Notes 1 and 2.

Reporting Summary

Supplementary Data

Lists of primers, yeast strains, yeast plasmids, synthetic gene sequences and source data for Supplementary Figs. 2 and 3.

Source data

Source Data Fig. 1

Spreadsheet with the bacterial gene cluster information used in the analysis described in Fig. 1.

Source Data Fig. 2

Statistical source data for the heatmap in Fig. 2.

Source Data Extended Data Fig. 2

Methyltransferase protein accession numbers and gene sequences used in the phylogenetic analysis.

Source Data Extended Data Fig. 5

Statistical source data.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Duan, YT., Koutsaviti, A., Harizani, M. et al. Widespread biosynthesis of 16-carbon terpenoids in bacteria. Nat Chem Biol 19, 1532–1539 (2023). https://doi.org/10.1038/s41589-023-01445-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41589-023-01445-9

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing