Combinatorial assembly platform enabling engineering of genetically stable metabolic pathways in cyanobacteria.
Combinatorial assembly platform enabling engineering of genetically stable metabolic pathways in cyanobacteria.
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组合组装平台,使蓝藻遗传稳定代谢途径的工程。
DOI:
10.1093/nar/gkab791
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发表时间:
2021-12-02
影响因子:
14.9
通讯作者:
Heap JT
中科院分区:
文献类型:
--
作者:
Taylor GM;Hitchcock A;Heap JT
Cyanobacteria are simple, efficient, genetically-tractable photosynthetic microorganisms which in principle represent ideal biocatalysts for CO2 capture and conversion. However, in practice, genetic instability and low productivity are key, linked problems in engineered cyanobacteria. We took a massively parallel approach, generating and characterising libraries of synthetic promoters and RBSs for the cyanobacterium Synechocystis sp. PCC 6803, and assembling a sparse combinatorial library of millions of metabolic pathway-encoding construct variants. Genetic instability was observed for some variants, which is expected when variants cause metabolic burden. Surprisingly however, in a single combinatorial round without iterative optimisation, 80% of variants chosen at random and cultured photoautotrophically over many generations accumulated the target terpenoid lycopene from atmospheric CO2, apparently overcoming genetic instability. This large-scale parallel metabolic engineering of cyanobacteria provides a new platform for development of genetically stable cyanobacterial biocatalysts for sustainable light-driven production of valuable products directly from CO2, avoiding fossil carbon or competition with food production. Combinatorial assembly of libraries of metabolic pathway-encoding constructs from synthetic parts with suitable properties, followed by a small amount of screening, is a rapid, simple and effective strategy to obtain productive and genetically stable pathway designs for the cyanobacterium Synechocystis sp. PCC 6803.
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