19-ERACoBioTech- 33 SyCoLim

19-ERACoBioTech-33 SyCoLim

• 批准号: BB/T011408/1
• 负责人: Rodrigo Ledesma Amaro
• 金额: $ 66.21万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FT011408%2F1
• 关键词: 19; ERACoBioTech; 33; SyCoLim

ERA CoBioTech seek the transition from a petroleum-based economy to a bio-based, circular economy, which can be achieved by the development of novel biotechnologies such as microbiological bioproduction processes.The aim of this project (SyCoLim) is to produce high-value chemicals (with applications as pharmaceuticals, medicines, fragrances, nutraceuticals or cosmetics) from waste raw materials (recycling glycerol, the by-product of biodiesel industries). In order to achieve this objective, synthetic microbial communities between yeast and bacteria will be created. These communities will be engineered to present advantages over monocultures, such as division of labour, higher adaptability and robustness or an expanded metabolic network. The bioprocess carried out by the best strains generated will be scaled up in industrial conditions in the facilities of our industrial partner. Therefore, the project will help the lab-to-market transition of the sustainable production of valuable compounds and will combine this with the exploration of novel synthetic biology and microbial communities' methodologies that have the potential to be applicable to other bioprocesses, thus facilitating the global transition towards the bioeconomy.The partners of SyCoLim has been selectively chosen to be the best fit possible to the rationale of the project, in terms not only of skills and methodologies but also in previous experience in synthetic microbial communities. Thus, together, the academic partners are world-leading researchers in yeast and bacteria engineering, in using synthetic biology to create microbial communities, in cutting-edge analytics (including metabolomics and proteomics) and in modelling communities. In addition, the industrial partner is one of the few biotech companies with expertise in commercial processes using engineered microbial communities. The scientific work packages will be developed in parallel to a Responsible Research an Innovation plan intended to evaluate the environmental and societal aspect of the process and it will guide and be guided by the experimental plans and results. SyCoLim is also committed to strict ethics and data management standards, embracing the FAIR principles. The project is accompanied by a solid Communication and Dissemination plan to reach different stakeholders and maximise the impact of the project's outcomes. The project will be carefully managed to optimise equal participation of the partners, appropriate budgets, gender balance, risk assessment, back up strategies, efficient communication and personnel and material transfer between teams.

ERA CoBioTech 寻求从石油经济向生物循环经济的转变，这可以通过开发微生物生物生产工艺等新型生物技术来实现。该项目 (SyCoLim) 的目标是生产高价值产品从废弃原材料（回收甘油，生物柴油工业的副产品）中提取化学品（应用为药品、药品、香料、保健品或化妆品）。为了实现这一目标，将创建酵母和细菌之间的合成微生物群落。这些群落将被设计成比单一栽培具有优势，例如劳动分工、更高的适应性和稳健性或扩大的代谢网络。由产生的最佳菌株进行的生物过程将在我们工业合作伙伴的设施的工业条件下扩大规模。因此，该项目将有助于有价值化合物的可持续生产从实验室向市场的过渡，并将其与新型合成生物学和微生物群落方法的探索相结合，这些方法有可能适用于其他生物过程，从而促进全球向生物经济转型。SyCoLim 的合作伙伴经过精心挑选，尽可能最适合该项目的基本原理，不仅在技能和方法方面，而且在合成微生物群落的以往经验方面。因此，学术合作伙伴都是酵母和细菌工程、利用合成生物学创建微生物群落、尖端分析（包括代谢组学和蛋白质组学）和群落建模领域的世界领先研究人员。此外，该工业合作伙伴是为数不多的在使用工程微生物群落的商业流程方面拥有专业知识的生物技术公司之一。科学工作包将与负责任的研究和创新计划同时制定，旨在评估该过程的环境和社会方面，并将指导实验计划和结果。 SyCoLim 还致力于严格的道德和数据管理标准，遵循 FAIR 原则。该项目附有可靠的沟通和传播计划，以接触不同的利益相关者并最大限度地发挥项目成果的影响。该项目将得到精心管理，以优化合作伙伴的平等参与、适当的预算、性别平衡、风险评估、备份策略、高效的沟通以及团队之间的人员和物资转移。

项目成果

Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.

用于复杂基质降解的微生物群落中的资源感知全细胞分工模型。

• DOI: http://dx.10.1186/s12934-022-01842-0
• 发表时间: 2022
• 期刊: Microbial cell factories
• 影响因子: 6.4
• 作者: Atkinson E

Synergies of Systems Biology and Synthetic Biology in Human Microbiome Studies.

系统生物学和合成生物学在人类微生物组研究中的协同作用。

• DOI: http://dx.10.3389/fmicb.2021.681982
• 发表时间: 2021
• 期刊: Frontiers in microbiology
• 作者: Ezzamouri B

Protein engineering in the computational age: An open source framework for exploring mutational landscapes in silico

计算时代的蛋白质工程：用于探索计算机突变景观的开源框架

• DOI: http://dx.10.1049/enb2.12028
• 发表时间: 2023
• 期刊: Engineering Biology
• 作者: Bamezai S

Spontaneously established syntrophic yeast communities improve bioproduction.

自发建立的互养酵母群落改善了生物生产。

• DOI: http://dx.10.1038/s41589-023-01341-2
• 发表时间: 2023
• 期刊: Nature chemical biology
• 影响因子: 14.8
• 作者: Aulakh SK

Quorum sensing in synthetic biology: A review

合成生物学中的群体感应：综述

• DOI: http://dx.10.1016/j.coisb.2021.100378
• 发表时间: 2021
• 期刊: Current Opinion in Systems Biology
• 影响因子: 3.7
• 作者: Boo A