Improving Cellular Protein Content of <i>Saccharomyces cerevisiae</i> Based on Adaptive Evolution and Flow Cytometry-Aided High Throughput Screening

Enhancing the protein content and production efficiency of <i>Saccharomyces cerevisiae</i> is crucial as an alternative protein source. This study screened nongenetically modified yeast strains with high protein content for food ingredient production and explored the underlying mechanisms. Yeast protein levels were found to correlate with RNA, leading to a high-throughput screening method using RNA fluorescence and flow cytometry. Four mutant libraries (∼200,000 cells) were generated through adaptive laboratory evolution in protein synthesis inhibitors, resulting in the high protein mutant content B1, with a protein content of 65.8 g/100 g dry cell weight in shake flasks. In a 45 L bioreactor using fed-batch fermentation with ethanol below 1.5 g/L, B1's protein content increased to 70.3 g/100 g dry cell weight, an 18.5% rise. Mannan and β-glucan levels in the cell wall decreased by 21.7 and 30.5%, potentially enhancing protein extraction for food production. Transcriptome analysis revealed that increased protein content results from down-regulating the cell cycle and meiosis-related genes. Validation of differentially expressed genes demonstrated that up-regulating <i>SUT1</i> and down-regulating <i>CNM67</i> are key for enhancing protein synthesis and accumulation. This study proposes a nongenetic screening method for high protein content <i>S. cerevisiae</i> strains, achieving the highest reported protein content.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2024-12-26
DOI
https://doi.org/10.1021/acs.jafc.4c09632
Citations
15
Primary Topic
Fungal and yeast genetics research
Type
article
Field-Weighted Citation Impact
3.51

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article

Improving Cellular Protein Content of Saccharomyces cerevisiae Based on Adaptive Evolution and Flow Cytometry-Aided High Throughput Screening

Guocheng Du, Xueqin Lv, Yaokang Wu, Jianghua Li et al.
15 citations
Journal of Agricultural and Food Chemistry
Fungal and yeast genetics research
3.51
article

Improving Cellular Protein Content of Saccharomyces cerevisiae Based on Adaptive Evolution and Flow Cytometry-Aided High Throughput Screening

Guocheng Du, Xueqin Lv, Yaokang Wu, Jianghua Li, Jian Chen, Long Liu, Xiao Liu, Liu Yang, Yanfeng Liu, Jian Xiong, Ku Li
article en
15 citations

Abstract

Enhancing the protein content and production efficiency of <i>Saccharomyces cerevisiae</i> is crucial as an alternative protein source. This study screened nongenetically modified yeast strains with high protein content for food ingredient production and explored the underlying mechanisms. Yeast protein levels were found to correlate with RNA, leading to a high-throughput screening method using RNA fluorescence and flow cytometry. Four mutant libraries (∼200,000 cells) were generated through adaptive laboratory evolution in protein synthesis inhibitors, resulting in the high protein mutant content B1, with a protein content of 65.8 g/100 g dry cell weight in shake flasks. In a 45 L bioreactor using fed-batch fermentation with ethanol below 1.5 g/L, B1's protein content increased to 70.3 g/100 g dry cell weight, an 18.5% rise. Mannan and β-glucan levels in the cell wall decreased by 21.7 and 30.5%, potentially enhancing protein extraction for food production. Transcriptome analysis revealed that increased protein content results from down-regulating the cell cycle and meiosis-related genes. Validation of differentially expressed genes demonstrated that up-regulating <i>SUT1</i> and down-regulating <i>CNM67</i> are key for enhancing protein synthesis and accumulation. This study proposes a nongenetic screening method for high protein content <i>S. cerevisiae</i> strains, achieving the highest reported protein content.

Journal of Agricultural and Food ChemistryVol. 73(1)
Jiangnan University (CN)
National Natural Science Foundation of China, Jiangnan University, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Fungal and yeast genetics research
3.51
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