Dataset Information

Enhanced limonene production in Synechococcus elongatus PCC 7942

ABSTRACT: In this study, through computational modeling and synthetic biology tools, we identified and overcame a key flux controlling node in MEP-derived terpene biosynthesis in cyanobacteria. This strategy bypasses the limitation in traditional stepwise metabolic engineering, and led to significantly higher terpene productivity. Moreover, our results revealed photosynthesis limitations during high level of terpene production. We suggest that fine-tuning energy and reductant requirement could be a key factor in establishing a viable ‘non-native’ terpene sink in photosynthetic systems.

INSTRUMENT(S): LTQ

ORGANISM(S): Synechococcus Elongatus (strain Pcc 7942) (anacystis Nidulans R2)

SUBMITTER: XIN WANG

LAB HEAD: Joshua S. Yuan & Susie Y. Dai

PROVIDER: PXD005105 | Pride | 2016-12-07

REPOSITORIES: Pride

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Enhanced limonene production in cyanobacteria reveals photosynthesis limitations.

Wang Xin X Liu Wei W Xin Changpeng C Zheng Yi Y Cheng Yanbing Y Sun Su S Li Runze R Li Runze R Zhu Xin-Guang XG Dai Susie Y SY Rentzepis Peter M PM Yuan Joshua S JS

Proceedings of the National Academy of Sciences of the United States of America 20161123 50

Terpenes are the major secondary metabolites produced by plants, and have diverse industrial applications as pharmaceuticals, fragrance, solvents, and biofuels. Cyanobacteria are equipped with efficient carbon fixation mechanism, and are ideal cell factories to produce various fuel and chemical products. Past efforts to produce terpenes in photosynthetic organisms have gained only limited success. Here we engineered the cyanobacterium Synechococcus elongatus PCC 7942 to efficiently produce limon ...[more]

PMID: 27911807

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Project description:BackgroundConverting carbon dioxide (CO2) into value-added chemicals using engineered cyanobacteria is a promising strategy to tackle the global warming and energy shortage issues. However, most cyanobacteria are autotrophic and use CO2 as a sole carbon source, which makes it hard to compete with heterotrophic hosts in either growth or productivity. One strategy to overcome this bottleneck is to introduce sugar utilization pathways to enable photomixotrophic growth with CO2 and sugar (e.g., glucose and xylose). Advances in engineering mixotrophic cyanobacteria have been obtained, while a systematic interrogation of these engineered strains is missing. This work aimed to fill the gap at omics level.ResultsWe first constructed two engineered Synechococcus elongatus YQ2-gal and YQ3-xyl capable of utilizing glucose and xylose, respectively. To investigate the metabolic mechanism, transcriptomic and metabolomic analysis were then performed in the engineered photomixotrophic strains YQ2-gal and YQ3-xyl. Transcriptome and metabolome of wild-type S. elongatus were set as baselines. Increased abundance of metabolites in glycolysis or pentose phosphate pathway indicated that efficient sugar utilization significantly enhanced carbon flux in S. elongatus as expected. However, carbon flux was redirected in strain YQ2-gal as more flowed into fatty acids biosynthesis but less into amino acids. In strain YQ3-xyl, more carbon flux was directed into synthesis of sucrose, glucosamine and acetaldehyde, while less into fatty acids and amino acids. Moreover, photosynthesis and bicarbonate transport could be affected by upregulated genes, while nitrogen transport and assimilation were regulated by less transcript abundance of related genes in strain YQ3-xyl with utilization of xylose.ConclusionsOur work identified metabolic mechanism in engineered S. elongatus during photomixotrophic growth, where regulations of fatty acids metabolism, photosynthesis, bicarbonate transport, nitrogen assimilation and transport are dependent on different sugar utilization. Since photomixotrophic cyanobacteria is regarded as a promising cell factory for bioproduction, this comprehensive understanding of metabolic mechanism of engineered S. elongatus during photomixotrophic growth would shed light on the engineering of more efficient and controllable bioproduction systems based on this potential chassis.