酿酒酵母 CENPK2-1C 的综合全局分析揭示了对大麻二酚的多向性耐药性和脂质体适应性。

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Erin Noel Jordan, Ramin Shirali Hossein Zade, Stephanie Pillay, Paul van Lent, Thomas Abeel, Oliver Kayser
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引用次数: 0

摘要

酵母新陈代谢可通过异源新陈代谢途径产生异生物化合物,如大麻素(大麻植物的主要异肾上腺素)。然而,酵母细胞工厂的大麻素产量仍然很低。本研究采用了一种综合全息方法来研究大麻二酚对 S. cerevisiae CENPK2-1C 酵母菌培养物的生理影响。我们用 0.5 mM CBD 处理实验组,并监测 CENPK2-1C 培养物。我们在实验组中观察到了淀粉转移后的潜伏-静止阶段,并在该生长阶段的拐点处采集样本进行转录组和代谢组分析。我们比较了经 CBD 处理的酵母和阳性对照的转录组,确定了 8 个显著过表达的基因,其对折变化至少为 1.5,且调整后的 p 值显著。三个值得注意的基因是 PDR5(一种 ABC 类固醇和阳离子转运体)、CIS1 和 YGR035C。这些基因都受与抗药性相关的启动子调控。对 PDR5 基因的敲除和拯救表明,它是导致 "二氧移位后表型 "的一个因果因素。代谢组学分析揭示了与喂食 CBD 的细胞颗粒相关的 48 个重要光谱,其中 20 个可确定为非 CBD 化合物,包括脂肪酸、甘油磷脂和磷酸盐贮存指示物。我们的研究结果表明,线粒体调控和脂质体重塑在酵母对 CBD 的反应中起着一定作用,这些作用与多向性耐药性(PDR)同时存在。我们的结论是,生物工程人员在开发大麻素生物合成酵母菌株时,应考虑到脱靶产物 C-通量、ABC-转运的能量消耗以及静止期后的细胞生长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrated omics of Saccharomyces cerevisiae CENPK2-1C reveals pleiotropic drug resistance and lipidomic adaptations to cannabidiol.

Integrated omics of Saccharomyces cerevisiae CENPK2-1C reveals pleiotropic drug resistance and lipidomic adaptations to cannabidiol.

Yeast metabolism can be engineered to produce xenobiotic compounds, such as cannabinoids, the principal isoprenoids of the plant Cannabis sativa, through heterologous metabolic pathways. However, yeast cell factories continue to have low cannabinoid production. This study employed an integrated omics approach to investigate the physiological effects of cannabidiol on S. cerevisiae CENPK2-1C yeast cultures. We treated the experimental group with 0.5 mM CBD and monitored CENPK2-1C cultures. We observed a latent-stationary phase post-diauxic shift in the experimental group and harvested samples in the inflection point of this growth phase for transcriptomic and metabolomic analysis. We compared the transcriptomes of the CBD-treated yeast and the positive control, identifying eight significantly overexpressed genes with a log fold change of at least 1.5 and a significant adjusted p-value. Three notable genes were PDR5 (an ABC-steroid and cation transporter), CIS1, and YGR035C. These genes are all regulated by pleiotropic drug resistance linked promoters. Knockout and rescue of PDR5 showed that it is a causal factor in the post-diauxic shift phenotype. Metabolomic analysis revealed 48 significant spectra associated with CBD-fed cell pellets, 20 of which were identifiable as non-CBD compounds, including fatty acids, glycerophospholipids, and phosphate-salvage indicators. Our results suggest that mitochondrial regulation and lipidomic remodeling play a role in yeast's response to CBD, which are employed in tandem with pleiotropic drug resistance (PDR). We conclude that bioengineers should account for off-target product C-flux, energy use from ABC-transport, and post-stationary phase cell growth when developing cannabinoid-biosynthetic yeast strains.

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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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