Metabolic Engineering of Methanotrophic Bacteria for <i>De Novo</i> Production of Taxadiene from Methane

The growing demand for natural products in pharmaceutical applications has prompted a focus on more sustainable methods to produce high-value terpenoids using microbial cell factories. Due to the characteristics of high abundance, renewable, and low cost, methane has emerged as a promising feedstock for biomanufacturing. In this study, the methanotrophic bacterium <i>Methylotuvimicrobium buryatenese</i> 5GB1C, known for its industrial potential, was metabolically engineered to synthesize taxadiene, a crucial precursor in paclitaxel production. The biosynthesis of taxadiene from methane was first established by employing an endogenous strong promoter to enhance the expression of heterologous taxadiene synthase in <i>M. buryatenese</i> 5GB1C. To further optimize the metabolic flux, rate-limiting enzymes (Dxs and IspA) were upregulated in the methylerythritol phosphate pathway while complementing the native pathway with the essential <i>idi</i> gene that was originally deficient. Coupled with a 2.1-fold improvement in the NADPH/NADP<sup>+</sup> ratio, these modifications collectively boosted taxadiene production from 2.58 to 22.97 mg/L in serum vials. Ultimately, a temperature-controlled two-stage cultivation was implemented in 3 L bioreactors, which achieved a remarkable titer of 104.88 mg/L, representing the highest reported titer for diterpenoid biosynthesis from methane. This work demonstrates the potential of utilizing methane for the sustainable production of advanced terpenoids with reduced environmental impact.

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Publication Details

Journal
ACS Synthetic Biology
Published
2025-07-14
DOI
https://doi.org/10.1021/acssynbio.5c00109
Citations
3
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
2.42
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article

Metabolic Engineering of Methanotrophic Bacteria for De Novo Production of Taxadiene from Methane

Xinzhe Zhang, Xiaohan Huang, Chenyue Zhang, Ramón González et al.
3 citations
ACS Synthetic Biology
Microbial Metabolic Engineering and Bioproduction
2.42
article

Metabolic Engineering of Methanotrophic Bacteria for De Novo Production of Taxadiene from Methane

Xinzhe Zhang, Xiaohan Huang, Chenyue Zhang, Ramón González, Aipeng Li, Qiang Fei, Shuqi Guo
article en
3 citations

Abstract

The growing demand for natural products in pharmaceutical applications has prompted a focus on more sustainable methods to produce high-value terpenoids using microbial cell factories. Due to the characteristics of high abundance, renewable, and low cost, methane has emerged as a promising feedstock for biomanufacturing. In this study, the methanotrophic bacterium <i>Methylotuvimicrobium buryatenese</i> 5GB1C, known for its industrial potential, was metabolically engineered to synthesize taxadiene, a crucial precursor in paclitaxel production. The biosynthesis of taxadiene from methane was first established by employing an endogenous strong promoter to enhance the expression of heterologous taxadiene synthase in <i>M. buryatenese</i> 5GB1C. To further optimize the metabolic flux, rate-limiting enzymes (Dxs and IspA) were upregulated in the methylerythritol phosphate pathway while complementing the native pathway with the essential <i>idi</i> gene that was originally deficient. Coupled with a 2.1-fold improvement in the NADPH/NADP<sup>+</sup> ratio, these modifications collectively boosted taxadiene production from 2.58 to 22.97 mg/L in serum vials. Ultimately, a temperature-controlled two-stage cultivation was implemented in 3 L bioreactors, which achieved a remarkable titer of 104.88 mg/L, representing the highest reported titer for diterpenoid biosynthesis from methane. This work demonstrates the potential of utilizing methane for the sustainable production of advanced terpenoids with reduced environmental impact.

ACS Synthetic BiologyVol. 14(8)
Biocon (Switzerland) (CH), University of South Florida (US), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 11%
Microbial Metabolic Engineering and Bioproduction
2.42
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