Sustainable Bioproduction of natural dyes in the yeast Yarrowia lipolytica

解脂耶氏酵母天然染料的可持续生物生产

• 批准号: 2735012
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2735012
• 关键词: Sustainable; Bioproduction; natural; dyes; yeast

Through this PhD, the aim is to improve work on dye biosynthesis in Yarrowia and research other sustainable dyeing solutions in the process. Y. lipolytica's ability to break down a wide range of waste products would be assessed to determine the best substrate for pigment biosynthesis. Simultaneously, genomic targets which impact colourant production would be identified by harnessing computational modelling tools;dye titres would be maximised by overexpressing or silencing identified genes, boosting carbonflux towards the blue dye.Once the pigment synthesising process is optimised, I would concentrate my efforts to implement relevant upstream and downstream processing techniques in a modular, systematic manner. For what concerns upstream processing, a separate bioprocess involving decomposing fungi would be devised with the aim to provide valuable feedstock for the pigment synthesising organismand to boost the overall circularity of the process. Consequently, a dye extraction pipeline would be established to maximise biomass utilisation and improve yields. To that end, transporter proteins mediating dye secretion would be tested as an easy processing route to release dye molecules outside of the cell membrane, thus simplifying the extraction protocol. Due to the high modularity of the procedure I plan to study, computational tools such as genome mining and machine learning algorithms would be harnessed to identify other natural dyes that could be produced with the newly developed circular framework. For these reasons, I relish the opportunity to gain experience in the Synthetic Biologyspace as a PhD student and to actively drive the field forward.

通过这个博士学位，我们的目标是改进耶氏酵母属的染料生物合成工作，并在此过程中研究其他可持续染色解决方案。将评估解脂耶氏酵母分解多种废物的能力，以确定色素生物合成的最佳底物。同时，将通过利用计算建模工具来识别影响着色剂生产的基因组目标；通过过度表达或沉默已识别的基因，从而增加向蓝色染料的碳通量，从而最大限度地提高染料滴度。一旦颜料合成过程得到优化，我将集中精力以模块化、系统化的方式实施相关的上下游加工技术。对于上游加工，将设计一个涉及分解真菌的单独生物过程，旨在为颜料合成生物体提供有价值的原料，并提高该过程的整体循环性。因此，将建立染料提取管道，以最大限度地提高生物质利用率并提高产量。为此，将测试介导染料分泌的转运蛋白作为将染料分子释放到细胞膜外的简单加工途径，从而简化提取方案。由于我计划研究的程序的高度模块化，将利用基因组挖掘和机器学习算法等计算工具来识别可以用新开发的圆形框架生产的其他天然染料。出于这些原因，我很高兴有机会作为博士生在合成生物学领域获得经验，并积极推动该领域向前发展。