Highly Efficient Production of Ergothioneine from Glycerol through Gene Mining and CRISPR-Cas9 Synthetic Biology Technology in <i>Saccharomyces cerevisiae</i>

Glycerol, a byproduct of biodiesel produced from waste cooking oil, is a renewable carbon source. Moreover, applying glycerol in Saccharomyces cerevisiae bioconversion to value-added products would not induce the Crabtree effect. Therefore, in this study, the engineered S. cerevisiae IMX581 was genetically modified using CRISPR-Cas9 to enhance ergothioneine (EGT) production, an antioxidant known for its antiaging and anti-inflammatory effects, with glycerol utilized as the main carbon source. Through the optimization of EGT biosynthesis overexpression cassettes and the enhancement of glycerol utilization and upstream metabolism, results showed more than a 10-fold increase in EGT production compared to using glucose in shake-flask fermentation. However, glycerol utilization faced challenges in supporting yeast growth, hindering large-scale fermentation. To address this, supplementing with small amounts of ethanol and acetic acid proved more beneficial for yeast growth than using glycerol alone. By applying the above strategies, a 10-day fed-batch fermentation without amino acid supplementation resulted in a high yeast cell density and an EGT yield of 1.14 g/L, the highest conversion rate from glycerol to date. The engineered S. cerevisiae developed in this study provided an efficient method for the synthesis of EGT from glycerol and an alternative for bioconversion without inducing the Crabtree effect.

Authors

Institutions

Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2024-10-17
DOI
https://doi.org/10.1021/acssuschemeng.4c03144
Citations
11
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
2.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Highly Efficient Production of Ergothioneine from Glycerol through Gene Mining and CRISPR-Cas9 Synthetic Biology Technology in Saccharomyces cerevisiae

Shan Zhang, Yinghao Yu, Liqiong Guo, Jun‐Fang Lin et al.
11 citations
ACS Sustainable Chemistry & Engineering
Microbial Metabolic Engineering and Bioproduction
2.57
article

Highly Efficient Production of Ergothioneine from Glycerol through Gene Mining and CRISPR-Cas9 Synthetic Biology Technology in Saccharomyces cerevisiae

Shan Zhang, Yinghao Yu, Liqiong Guo, Jun‐Fang Lin, Hanqing Liu, Zhen-Rong Su
article en
11 citations

Abstract

Glycerol, a byproduct of biodiesel produced from waste cooking oil, is a renewable carbon source. Moreover, applying glycerol in Saccharomyces cerevisiae bioconversion to value-added products would not induce the Crabtree effect. Therefore, in this study, the engineered S. cerevisiae IMX581 was genetically modified using CRISPR-Cas9 to enhance ergothioneine (EGT) production, an antioxidant known for its antiaging and anti-inflammatory effects, with glycerol utilized as the main carbon source. Through the optimization of EGT biosynthesis overexpression cassettes and the enhancement of glycerol utilization and upstream metabolism, results showed more than a 10-fold increase in EGT production compared to using glucose in shake-flask fermentation. However, glycerol utilization faced challenges in supporting yeast growth, hindering large-scale fermentation. To address this, supplementing with small amounts of ethanol and acetic acid proved more beneficial for yeast growth than using glycerol alone. By applying the above strategies, a 10-day fed-batch fermentation without amino acid supplementation resulted in a high yeast cell density and an EGT yield of 1.14 g/L, the highest conversion rate from glycerol to date. The engineered S. cerevisiae developed in this study provided an efficient method for the synthesis of EGT from glycerol and an alternative for bioconversion without inducing the Crabtree effect.

ACS Sustainable Chemistry & EngineeringVol. 12(43)
South China Agricultural University (CN)
National Natural Science Foundation of China, Special Project for Research and Development in Key areas of Guangdong Province
Openalex Percentile: Top 10%
Microbial Metabolic Engineering and Bioproduction
2.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.