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复杂动力学模型预测β-胡萝卜素产量并揭示重组菌株中的通量限制。

Complex Kinetic Models Predict β-Carotene Production and Reveal Flux Limitations in Recombinant Strains.

作者信息

Elizondo Benjamín R, Saa Pedro A

机构信息

Departamento de Ingeniería Química y Bioprocesos, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.

Instituto de Ingeniería Matemática y Computacional, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.

出版信息

ACS Synth Biol. 2025 Sep 19;14(9):3457-3472. doi: 10.1021/acssynbio.5c00256. Epub 2025 Sep 2.

Abstract

β-Carotene is a high-value compound with multiple commercial applications as a pigment and due to its antioxidant properties. For its industrial production, precision fermentation using engineered microorganisms has been proposed as an attractive alternative given consumer concerns and technical limitations of traditional production methods such as chemical synthesis and extraction from plants. However, the factors limiting microbial production are complex and remain poorly understood, hindering bioprocess scale-up. To tackle this limitation, we built and evaluated kinetic model ensembles of the native mevalonate and the heterologous β-carotene production pathways in recombinant strains to identify bottlenecks limiting the production flux. For this task, flux and transcriptomic data from chemostat cultivations were generated and combined with literature information for simulating model structures capturing different degrees of kinetic detail and complexity within the ABC-GRASP framework. Our results showed that detailed kinetic models including both allosteric regulation and complex mechanistic descriptions (e.g., enzyme promiscuity) are necessary to explain the metabolic phenotype of recombinant strains in different conditions. Calculation of flux and concentration response coefficients of the detailed models revealed that the promiscuous CrtYB enzyme exerts the highest control over β-carotene production at different growth rates in the best producer. Simulation of various enzyme and metabolite perturbations confirmed the above result and discarded other seemingly intuitive targets for intervention, e.g., upregulation of ERG10. Overall, this work deepens our understanding about the factors limiting β-carotene production in yeast, providing mechanistic models for metabolic prospection and rational design of genetic interventions.

摘要

β-胡萝卜素是一种具有多种商业用途的高价值化合物,可作为色素,也因其抗氧化特性而备受关注。对于其工业生产,鉴于消费者的担忧以及传统生产方法(如化学合成和从植物中提取)的技术局限性,利用工程微生物进行精准发酵已被视为一种有吸引力的替代方法。然而,限制微生物生产的因素复杂且仍未得到充分理解,这阻碍了生物工艺的扩大规模。为解决这一限制,我们构建并评估了重组菌株中天然甲羟戊酸途径和异源β-胡萝卜素生产途径的动力学模型集,以确定限制生产通量的瓶颈。为此,我们生成了来自恒化器培养的通量和转录组数据,并结合文献信息,在ABC-GRASP框架内模拟捕捉不同程度动力学细节和复杂性的模型结构。我们的结果表明,包括变构调节和复杂机制描述(如酶的混杂性)的详细动力学模型对于解释重组菌株在不同条件下的代谢表型是必要的。详细模型的通量和浓度响应系数计算表明,在最佳生产菌株中,混杂的CrtYB酶在不同生长速率下对β-胡萝卜素生产的控制作用最大。对各种酶和代谢物扰动的模拟证实了上述结果,并排除了其他看似直观的干预靶点,如上调ERG10。总体而言,这项工作加深了我们对限制酵母中β-胡萝卜素生产因素的理解,为代谢前景预测和基因干预的合理设计提供了机制模型。

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