Ferreira Sofia, Pereira Rui, Liu Filipe, Vilaça Paulo, Rocha Isabel
1CEB-Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
2SilicoLife Lda, Rua do Canastreiro 15, 4715-387 Braga, Portugal.
Biotechnol Biofuels. 2019 Sep 30;12:230. doi: 10.1186/s13068-019-1565-x. eCollection 2019.
One of the European Union directives indicates that 10% of all fuels must be bio-synthesized by 2020. In this regard, biobutanol-natively produced by clostridial strains-poses as a promising alternative biofuel. One possible approach to overcome the difficulties of the industrial exploration of the native producers is the expression of more suitable pathways in robust microorganisms such as . The enumeration of novel pathways is a powerful tool, allowing to identify non-obvious combinations of enzymes to produce a target compound.
This work describes the in silico driven design of strains able to produce butanol via 2-oxoglutarate by a novel pathway. This butanol pathway was generated by a hypergraph algorithm and selected from an initial set of 105,954 different routes by successively applying different filters, such as stoichiometric feasibility, size and novelty. The implementation of this pathway involved seven catalytic steps and required the insertion of nine heterologous genes from various sources in distributed in three plasmids. Expressing butanol genes in K12 and cultivation in High-Density Medium formulation seem to favor butanol accumulation via the 2-oxoglutarate pathway. The maximum butanol titer obtained was 85 ± 1 mg L by cultivating the cells in bioreactors.
In this work, we were able to successfully translate the computational analysis into in vivo applications, designing novel strains of able to produce -butanol via an innovative pathway. Our results demonstrate that enumeration algorithms can broad the spectrum of butanol producing pathways. This validation encourages further research to other target compounds.
欧盟的一项指令指出,到2020年,所有燃料的10%必须通过生物合成。在这方面,由梭菌菌株天然产生的生物丁醇是一种有前途的替代生物燃料。克服天然生产者工业开发困难的一种可能方法是在诸如大肠杆菌等健壮的微生物中表达更合适的途径。枚举新途径是一种强大的工具,可用于识别产生目标化合物的酶的非明显组合。
这项工作描述了通过一种新途径经由2-氧代戊二酸生产丁醇的大肠杆菌菌株的计算机驱动设计。这条丁醇途径是通过超图算法生成的,并通过依次应用不同的筛选标准,如化学计量可行性、规模和新颖性,从最初的105954条不同途径中选出。该途径的实施涉及七个催化步骤,需要将来自不同来源的九个异源基因插入分布在三个质粒中的大肠杆菌中。在大肠杆菌K12中表达丁醇基因并在高密度培养基配方中培养似乎有利于通过2-氧代戊二酸途径积累丁醇。通过在生物反应器中培养细胞,获得的最大丁醇滴度为85±mg/L。
在这项工作中,我们能够成功地将计算分析转化为体内应用,设计出能够通过创新途径生产丁醇的新型大肠杆菌菌株。我们的结果表明,枚举算法可以拓宽丁醇生产途径的范围。这一验证鼓励对其他目标化合物进行进一步研究。