| Title |
Rate-limiting steps in the Saccharomyces cerevisiae ergosterol pathway: towards improved ergosta-5,7-dien-3β-ol accumulation by metabolic engineering
|
|---|---|
| Published in |
World Journal of Microbiology and Biotechnology, March 2018
|
| DOI | 10.1007/s11274-018-2440-9 |
| Pubmed ID | |
| Authors |
Bin-Xiang Ma, Xia Ke, Xiao-Ling Tang, Ren-Chao Zheng, Yu-Guo Zheng |
| Abstract |
Ergosterol is the predominant nature sterol constituent of plasma membrane in Saccharomyces cerevisiae. Herein, the biosynthetic pathway of ergosterol was proposed to be metabolically engineered for the efficient production of ergosta-5,7-dien-3β-ol, which is the precursor of vitamin D4. By target disruption of erg5, involved in the end-steps of post-squalene formation, predominantly accumulated ergosta-5,7-dien-3β-ol (4.12 mg/g dry cell weight). Moreover, the rate-limiting enzymes of ergosta-5,7-dien-3β-ol biosynthesis were characterized. Overexpression of Hmg1p led to a significant accumulation of squalene, and induction of Erg1p/Erg11p expression raised the yield of both total sterols and ergosta-5,7-dien-3β-ol with no obvious changes in growth behavior. Furthermore, the transcription factor allele upc2-1 was overexpressed to explore the effect of combined induction of rate-limiting enzymes. Compared with an obviously enhanced yield of ergosterol in the wild-type strain, decreases of both the ergosta-5,7-dienol levels and the total sterol yield were found in Δerg5-upc2-1, probably due to the unbalanced NADH/NAD+ratio observed in the erg5 knockouts, suggesting the whole-cell redox homeostasis was also vital for end-product biosynthesis. The data obtained in this study can be used as reference values for the production of sterol-related intermediates involved in the post-squalene biosynthetic pathway in food-grade S. cerevisiae strains. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Student > Bachelor | 5 | 15% |
| Professor > Associate Professor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Agricultural and Biological Sciences | 8 | 24% |
| Psychology | 1 | 3% |
| Chemistry | 1 | 3% |
| Unknown | 14 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2018.
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#21,420,714
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Outputs from World Journal of Microbiology and Biotechnology
#1,398
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#295,166
of 333,204 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#16
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