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确保代谢工程在工业应用中更好地转化的挑战。

Challenges to Ensure a Better Translation of Metabolic Engineering for Industrial Applications.

机构信息

Toulouse White Biotechnology, Toulouse cedex 4, France.

Toulouse Biotechnology Institute, Toulouse cedex 4, France.

出版信息

Methods Mol Biol. 2023;2553:1-20. doi: 10.1007/978-1-0716-2617-7_1.

Abstract

Metabolic engineering has evolved towards creating cell factories with increasingly complex pathways as economic criteria push biotechnology to higher value products to provide a sustainable source of speciality chemicals. Optimization of such pathways often requires high combinatory exploration of best pathway balance, and this has led to increasing use of high-throughput automated strain construction platforms or novel optimization techniques. In addition, the low catalytic efficiency of such pathways has shifted emphasis from gene expression strategies towards novel protein engineering to increase specific activity of the enzymes involved so as to limit the metabolic burden associated with excessively high pressure on ribosomal machinery when using massive overexpression systems. Metabolic burden is now generally recognized as a major hurdle to be overcome with consequences on genetic stability but also on the intensified performance needed industrially to attain the economic targets for successful product launch. Increasing awareness of the need to integrate novel genetic information into specific sites within the genome which not only enhance genetic stability (safe harbors) but also enable maximum expression profiles has led to genome-wide assessment of best integration sites, and bioinformatics will facilitate the identification of most probable landing pads within the genome.To facilitate the transfer of novel biotechnological potential to industrial-scale production, more attention, however, has to be paid to engineering metabolic fitness adapted to the specific stress conditions inherent to large-scale fermentation and the inevitable heterogeneity that will occur due to mass transfer limitations and the resulting deviation away from ideal conditions as seen in laboratory-scale validation of the engineered cells. To ensure smooth and rapid transfer of novel cell lines to industry with an accelerated passage through scale-up, better coordination is required form the onset between the biochemical engineers involved in process technology and the genetic engineers building the new strain so as to have an overall strategy able to maximize innovation at all levels. This should be one of our key objectives when building fermentation-friendly chassis organisms.

摘要

代谢工程已经朝着创建具有越来越复杂途径的细胞工厂的方向发展,因为经济标准推动生物技术向更高价值的产品发展,以提供特种化学品的可持续来源。这些途径的优化通常需要对最佳途径平衡进行高组合探索,这导致越来越多地使用高通量自动化菌株构建平台或新颖的优化技术。此外,这些途径的低催化效率已将重点从基因表达策略转移到新型蛋白质工程上,以提高所涉及酶的比活性,从而限制在使用大规模过表达系统时核糖体机械过度高压下与代谢负担相关的限制。代谢负担现在通常被认为是一个需要克服的主要障碍,这不仅对遗传稳定性有影响,而且对工业上实现成功产品推出所需的强化性能也有影响。越来越意识到需要将新的遗传信息整合到基因组中的特定位置,这不仅增强了遗传稳定性(安全港),而且还使最大表达谱成为可能,这导致了对最佳整合位点的全基因组评估,并且生物信息学将有助于确定基因组内最可能的着陆点。为了促进将新的生物技术潜力转移到工业规模生产,然而,必须更加关注适应大规模发酵固有的特定应激条件的代谢适应性,以及由于传质限制和由此导致的与实验室规模验证工程细胞时的理想条件的偏差而不可避免地出现的异质性。为了确保新型细胞系平稳快速地转移到工业界,并通过扩大规模加速通过,需要涉及工艺技术的生化工程师和构建新菌株的遗传工程师之间从一开始就更好地协调,以便制定出能够在各个层面最大化创新的整体策略。这应该是我们在构建发酵友好底盘生物时的主要目标之一。

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