The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Engineering Limonene and Bisabolene Production in Wild Type and a Glycogen-Deficient Mutant of Synechococcus sp. PCC 7002
Open accessAbstract
The plant terpenoids limonene (C10H16) and α-bisabolene (C15H24) are hydrocarbon precursors to a range of industrially relevant chemicals. High-titer microbial synthesis of limonene and α-bisabolene could pave the way for advances in in vivo engineering of tailor-made hydrocarbons, and production at commercial scale. We have engineered the fast-growing unicellular euryhaline cyanobacterium Synechococcus sp. PCC 7002 to produce yields of 4 mg L(-1) limonene and 0.6 mg L(-1) α-bisabolene through heterologous expression of the Mentha spicatal-limonene synthase or the Abies grandis (E)-α-bisabolene synthase genes, respectively. Titers were significantly higher when a dodecane overlay was applied during culturing, suggesting either that dodecane traps large quantities of volatile limonene or α-bisabolene that would otherwise be lost to evaporation, and/or that continuous product removal in dodecane alleviates product feedback inhibition to promote higher rates of synthesis. We also investigate limonene and bisabolene production in the ΔglgC genetic background, where carbon partitioning is redirected at the expense of glycogen biosynthesis. The Synechococcus sp. PCC 7002 ΔglgC mutant excreted a suite of overflow metabolites (α-ketoisocaproate, pyruvate, α-ketoglutarate, succinate, and acetate) during nitrogen-deprivation, and also at the onset of stationary growth in nutrient-replete media. None of the excreted metabolites, however, appeared to be effectively utilized for terpenoid metabolism. Interestingly, we observed a 1.6- to 2.5-fold increase in the extracellular concentration of most excreted organic acids when the ΔglgC mutant was conferred with the ability to produce limonene. Overall, Synechococcus sp. PCC 7002 provides a highly promising platform for terpenoid biosynthetic and metabolic engineering efforts.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION
Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751
Direct photosynthetic recycling of carbon dioxide to isobutyraldehyde
Atsumi, S., Higashide, W., & Liao, J. C. (2009) · Nature Biotechnology · doi:10.1038/nbt.1586 · Cited by 870
Identification and microbial production of a terpene-based advanced biofuel
Peralta-Yahya, P. P., Ouellet, M., Chan, R., Mukhopadhyay, A., Keasling, J. D., & Lee, T. S. (2011) · Nature Communications · doi:10.1038/ncomms1494 · Cited by 637
Lindberg, P., Park, S., & Melis, A. (2010) · Metabolic Engineering · doi:10.1016/j.ymben.2009.10.001 · Cited by 596
Engineering microbial biofuel tolerance and export using efflux pumps
Dunlop, M. J., Dossani, Z. Y., Szmidt, H. L., Chu, H. C., Lee, T. S., Keasling, J. D., Hadi, M. Z., & Mukhopadhyay, A. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.21 · Cited by 512
Genomic Organization of Plant Terpene Synthases and Molecular Evolutionary Implications
Trapp, S. C., & Croteau, R. B. (2001) · Genetics · doi:10.1093/genetics/158.2.811 · Cited by 480
Metabolic engineering of Escherichia coli for limonene and perillyl alcohol production
Alonso-Gutierrez, J., Chan, R., Batth, T. S., Adams, P. D., Keasling, J. D., Petzold, C. J., & Lee, T. S. (2013) · Metabolic Engineering · doi:10.1016/j.ymben.2013.05.004 · Cited by 416
Cyanobacterial conversion of carbon dioxide to 2,3-butanediol
Oliver, J. W. K., Machado, I. M. P., Yoneda, H., & Atsumi, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213024110 · Cited by 380
Rerouting Carbon Flux to Enhance Photosynthetic Productivity
Ducat, D. C., Avelar-Rivas, J. A., Way, J. C., & Silver, P. A. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.07901-11 · Cited by 362
Colby, S. M., Alonso, W. R., Katahira, E. J., McGarvey, D. J., & Croteau, R. (1993) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)49419-2 · Cited by 293
Cited by
Metabolic engineering of cyanobacteria for the synthesis of commodity products
Angermayr, S. A., Gorchs Rovira, A., & Hellingwerf, K. J. (2015) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.03.009 · Cited by 273
Cyanobacteria: Review of Current Potentials and Applications.
Zahra, Z., Choo, D. H., Lee, H., & Parveen, A. (2020) · Environments · doi:10.3390/environments7020013 · Cited by 228
Cyanobacteria: Promising biocatalysts for sustainable chemical production
Knoot, C. J., Ungerer, J., Wangikar, P. P., & Pakrasi, H. B. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.r117.815886 · Cited by 225
Terpenoids and Their Biosynthesis in Cyanobacteria
Pattanaik, B., & Lindberg, P. (2015) · Life · doi:10.3390/life5010269 · Cited by 173
Potential and Challenges of Improving Photosynthesis in Algae
Vecchi, V., Barera, S., Bassi, R., & Dall’Osto, L. (2020) · Plants · doi:10.3390/plants9010067 · Cited by 157
Metadata
- Authors
- Davies, F. K., Work, V. H., Beliaev, A. S., & Posewitz, M. C.
- Venue
- Frontiers in Bioengineering and Biotechnology
- Publisher
- Frontiers Media SA
- Published
- 2014-06-19
- Volume
- 2
- Pages
- 21-21
- ISSN
- 2296-4185 (ISSN-L)
- OpenAlex
- W1988603978
- Cited by
- 272
- References
- 43
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Engineering Limonene and Bisabolene Production in Wild Type and a Glycogen-Deficient Mutant of Synechococcus sp. PCC 7002. https://app.cochat.ai/papers/10.3389/fbioe.2014.00021
- The paper
- Davies, F. K., Work, V. H., Beliaev, A. S., & Posewitz, M. C. (2014). Engineering Limonene and Bisabolene Production in Wild Type and a Glycogen-Deficient Mutant of Synechococcus sp. PCC 7002. Frontiers in Bioengineering and Biotechnology. https://doi.org/10.3389/fbioe.2014.00021
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.