4.7 Article

Exploring and validating key factors limiting cyanobacteria-based CO2 bioconversion: Case study to maximize myo-inositol biosynthesis

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CHEMICAL ENGINEERING JOURNAL
卷 452, 期 -, 页码 -

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ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2022.139158

关键词

CO2 bio-conversion; Photosynthetic cyanobacterium; Fast-growing; Myo -inositol biosynthesis; Biosensor

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In this study, a fast-growing cyanobacterium was utilized to address inherent issues associated with cyanobacterial strains and achieve CO2-based myo-inositol biosynthesis. Through various strategies, the researchers successfully improved cell growth and achieved the highest production of myo-inositol from CO2 in cyanobacteria. Metabolomic analysis was also applied to further optimize the process.
Cyanobacteria have been considered as an ideal photosynthetic chassis for CO2 recycle and bioconversion, which could make a significant contribution to carbon neutrality. However, several inherited issues associated with current cyanobacterial strains need to be addressed before their biotechnological application, such as slow growth, uneven of carbon distribution, biased production of reducing power and imbalance between growth and biosynthesis. To address the issues, myo-inositol (MI) was selected as an example target and a fast-growing cyanobacterium Synechococcus elongatus UTEX 2973 was utilized as chassis to improve cell growth. Second, several genes involved in MI synthesis were evaluated. Third, the MI biosynthesis was further increased by cofactors enhancement and down regulation of the competing pathways using multiplex artificial small RNAs (PTRNAs). Forth, a MI sensor was developed and optimized to trigger the automatic expression PTRNAs to achieve real-time intelligent regulation, avoiding the growth defect caused by blocking essential genes at early growth stage. Fifth, carbon re-direction was achieved using rhythmical cultivation, resulting in a final production of 262.6 mg/L MI in shaking flask, which represents the highest production from CO2 in cyanobacteria. Finally, the metabolomic analysis was applied to elucidate the shifted metabolic flux and predicted targets for future optimization. Together of all efforts, we can achieve the CO2-based MI biosynthesis to the same order of magnitude as heterogenous microorganisms with suitable scale-up in the future.

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