Emerging biotechnology applications in natural product and synthetic pharmaceutical analyses

Chen, Shilin; Li, Zheng; Zhang, Sanyin; Zhou, Yuxin; Xiao, Xiaohe; Cui, Pengdi; Xu, Binjie; Zhao, Qinghe; Kong, Shasha; Dai, Yuntao

doi:10.1016/j.apsb.2022.08.025

Cited by 35 publications

(20 citation statements)

References 209 publications

(218 reference statements)

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“…In summary, natural plant-derived products have been successfully produced using metabolically modified microbes . However, their production level was relatively low in these modified microbes, and was usually hindered by insufficient P450 oxidation.…”

Section: Results and Analysismentioning

confidence: 99%

“…In summary, natural plant-derived products have been successfully produced using metabolically modified microbes. 41 However, their production level was relatively low in these modified microbes, and was usually hindered by insufficient P450 oxidation. In this study, we focused on optimizing CYP88D6 oxidation for the efficient production of 11-oxo-βamyrin in yeast, an important precursor for glycyrrhizin (GL) and glycyrrhetinic acid (GA) in liquorice.…”

Section: High Cyp88d6:cpr Expression Ratiomentioning

confidence: 99%

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Production of 11-Oxo-β-Amyrin in Saccharomyces cerevisiae at High Efficiency by Fine-Tuning the Expression Ratio of CYP450:CPR

Sun

Hou

et al. 2023

J. Agric. Food Chem.

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The production of glycyrrhetinic acid (GA) and 11-oxo-β-amyrin, the major bioactive components in liquorice, was typically inhibited by P450 oxidation in Saccharomyces cerevisiae. This study focused on optimizing CYP88D6 oxidation by balancing its expression with cytochrome P450 oxidoreductase (CPR) for the efficient production of 11-oxo-β-amyrin in yeast. Results indicated that a high CPR:CYP88D6 expression ratio could decrease both 11-oxo-β-amyrin concentration and turnover ratio of β-amyrin to 11-oxo-β-amyrin, whereas a high CYP88D6:CPR expression ratio is beneficial for improving the catalytic activity of CYP88D6 and 11-oxo-β-amyrin production. Under such a scenario, 91.2% of β-amyrin was converted into 11-oxo-β-amyrin in the resulting S. cerevisiae Y321, and 11-oxo-β-amyrin production was further improved to 810.6 mg/L in fed-batch fermentation. Our study provides new insights into the expression of cytochrome P450 and CPR in maximizing the catalytic activity of P450s, which could guide the construction of cell factories in producing natural products.

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Section: Results and Analysismentioning

confidence: 99%

Section: High Cyp88d6:cpr Expression Ratiomentioning

confidence: 99%

Production of 11-Oxo-β-Amyrin in Saccharomyces cerevisiae at High Efficiency by Fine-Tuning the Expression Ratio of CYP450:CPR

Sun

Hou

et al. 2023

J. Agric. Food Chem.

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“…Nowadays, hyperspectral remote sensing technology has been widely used for rapid and non-destructive testing (NDT) of plant diseases ( Lowe et al., 2017 ; Mahlein et al., 2018 ; Chen et al, 2022 ), such as wheat powdery mildew ( Feng et al., 2022 ), fusarium head blight ( Zhang et al., 2020 ) and decayed citrus ( Zhang et al., 2021 ). The effective information on plant growth status is archived by screening and processing the complex and redundant hyperspectral data ( Yang et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

A non-destructive testing method for early detection of ginseng root diseases using machine learning technologies based on leaf hyperspectral reflectance

et al. 2022

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Ginseng is an important medicinal plant benefiting human health for thousands of years. Root disease is the main cause of ginseng yield loss. It is difficult to detect ginseng root disease by manual observation on the changes of leaves, as it takes a long time until symptoms appear on leaves after the infection on roots. In order to detect root diseases at early stages and limit their further spread, an efficient and non-destructive testing (NDT) method is urgently needed. Hyperspectral remote sensing technology was performed in this study to discern whether ginseng roots were diseased. Hyperspectral reflectance of leaves at 325-1,075 nm were collected from the ginsengs with no symptoms on leaves at visual. These spectra were divided into healthy and diseased groups according to the symptoms on roots after harvest. The hyperspectral data were used to construct machine learning classification models including random forest, extreme random tree (ET), adaptive boosting and gradient boosting decision tree respectively to identify diseased ginsengs, while calculating the vegetation indices and analyzing the region of specific spectral bands. The precision rates of the ET model preprocessed by savitzky golay method for the identification of healthy and diseased ginsengs reached 99% and 98%, respectively. Combined with the preliminary analysis of band importance, vegetation indices and physiological characteristics, 690-726 nm was screened out as a specific band for early detection of ginseng root diseases. Therefore, underground root diseases can be effectively detected at an early stage by leaf hyperspectral reflectance. The NDT method for early detection of ginsengs root diseases is proposed in this study. The method is helpful in the prevention and control of root diseases of ginsengs to prevent the reduction of ginseng yield.

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“…The chemical constituents of G. lucidum are very complex, including triterpenoids, polysaccharides, nucleosides, furan derivatives, sterols, alkaloids and polypeptides ( Ren et al, 2010 ; Li et al, 2013 ; Xie et al, 2020 ; Dong et al, 2021 ). Among them, triterpenoids are one of the most important bioactive components, exhibiting antitumor, apoptotic, antiviral and immune-modulatory pharmaceutical activities ( Chi et al, 2018 ; Liang et al, 2019 ; Shao et al, 2021 ; Chen et al, 2022a ). Ganoderma triterpenoids (GTs) are derived from lanosterol, which is the intermediate of triterpenoids and synthesized by lanosterol synthase (LSS) through the mevalonate (MVA) pathway.…”

Section: Introductionmentioning

confidence: 99%

Transcriptome profiling of transcription factors in Ganoderma lucidum in response to methyl jasmonate

Zhu

et al. 2022

Front. Microbiol.

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Ganoderma lucidum is a traditional Chinese medicine and its major active ingredients are ganoderma triterpenoids (GTs). To screen for transcription factors (TFs) that involved in the biosynthetic pathway of GTs in G. lucidum, the chemical composition in mycelia, primordium and fruiting body were analyzed, and the transcriptomes of mycelia induced by methyl jasmonate (MeJA) were analyzed. In addition, the expression level data of MeJA-responsive TFs in mycelia, primordia and fruiting body were downloaded from the database, and the correlation analysis was carried out between their expression profiles and the content of total triterpenoids. The results showed that a total of 89 components were identified, and the content of total triterpenoids was the highest in primordium, followed by fruiting body and mycelia. There were 103 differentially expressed TFs that response to MeJA-induction including 95 upregulated and 8 downregulated genes. These TFs were classified into 22 families including C2H2 (15), TFII-related (12), HTH (9), fungal (8), bZIP (6), HMG (5), DADS (2), etc. Correlation analysis showed that the expression level of GL23559 (MADS), GL26472 (HTH), and GL31187 (HMG) showed a positive correlation with the GTs content, respectively. While the expression level of GL25628 (fungal) and GL26980 (PHD) showed a negative correlation with the GTs content, respectively. Furthermore, the over expression of the Glmhr1 gene (GL25628) in Pichia pastoris GS115 indicated that it might be a negative regulator of GT biosynthesis through decreasing the production of lanosterol. This study provided useful information for a better understanding of the regulation of TFs involved in GT biosynthesis and fungal growth in G. lucidum.

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Emerging biotechnology applications in natural product and synthetic pharmaceutical analyses

Cited by 35 publications

References 209 publications

Production of 11-Oxo-β-Amyrin in Saccharomyces cerevisiae at High Efficiency by Fine-Tuning the Expression Ratio of CYP450:CPR

Production of 11-Oxo-β-Amyrin in Saccharomyces cerevisiae at High Efficiency by Fine-Tuning the Expression Ratio of CYP450:CPR

A non-destructive testing method for early detection of ginseng root diseases using machine learning technologies based on leaf hyperspectral reflectance

Transcriptome profiling of transcription factors in Ganoderma lucidum in response to methyl jasmonate

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