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Modular Pathway Compartmentalization for Agroclavine Overproduction in Saccharomyces cerevisiae .

Nan WuMing-Dong YaoWen-Hai XiaoTianyu DongHaidi MaXianli DuYing WangYing-Jin Yuan
Published in: ACS synthetic biology (2023)
Agroclavine, which has anti-depressant activity and anti-Alzheimer effects, is the raw material used to synthesize ergo-based drugs. Although the production of agroclavine from Saccharomyces cerevisiae is possible, its yield is exceptionally low. The current study proposes a modular compartmentalization strategy for identifying and modifying the bottleneck step in agroclavine overproduction. The agroclavine synthetic pathway was reconstituted in yeast, and the best combination of Claviceps fusiformis EasA with Claviceps purpurea EasD/EasG was identified. According to the data on the expression and subcellular localization of agroclavine pathway proteins, the whole pathway was divided into two modules by chanoclavine-I. Separate enzyme distribution within the downstream module and low expression of DmaW and EasE in the upstream module were identified as the bottleneck steps in the pathway. The pathway efficiency was enhanced 2.06-fold when the downstream module was entirely anchored to the endoplasmic reticulum compartment. Increasing NADPH supply by overexpressing POS5 further improved the agroclavine yield by 27.4%. Altering the intracellular localization of DmaW from the peroxisome to the endoplasmic reticulum (ER) not only improved protein expression but also accelerated the accumulation of agroclavine by 59.9%. Integration of all modified modules into the host chromosome resulted in an improved yield of agroclavine at 101.6 mg/L with flask fermentation (a 241-fold improvement over the initial strain) and ultimately produced 152.8 mg/L of agroclavine on fed-batch fermentation. The current study unlocked the potential of S. cerevisiae in the advanced biosynthesis of ergot alkaloids. It also provides a promising strategy to reconstitute compartmentalized pathways.
Keyphrases
  • saccharomyces cerevisiae
  • endoplasmic reticulum
  • poor prognosis
  • risk assessment
  • gene expression
  • cognitive decline
  • cell wall
  • machine learning
  • climate change
  • genome wide
  • dna methylation
  • binding protein