Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology
Introduction: Glucose oxidase (GOX) is considered a commercial enzyme in the medicine, pharmaceutical, and food industries. Optimization of the fermentation medium and conditions is important to increase heterologous GOX production. The current study aimed to optimize GOX production in a recombinan...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Isfahan
2021-12-01
|
| Series: | Biological Journal of Microorganism |
| Subjects: | |
| Online Access: | https://bjm.ui.ac.ir/article_25553_26442381e49246fd9eadcdbf1629df77.pdf |
| _version_ | 1819121413770969088 |
|---|---|
| author | Farshad Darvishi َAmin Zarei Catherine Madzak |
| author_facet | Farshad Darvishi َAmin Zarei Catherine Madzak |
| author_sort | Farshad Darvishi |
| collection | DOAJ |
| description | Introduction: Glucose oxidase (GOX) is considered a commercial enzyme in the medicine, pharmaceutical, and food industries. Optimization of the fermentation medium and conditions is important to increase heterologous GOX production. The current study aimed to optimize GOX production in a recombinant strain of Yarrowia lipolytica via statistical techniques.
Materials and Methods: Response surface methodology (RSM) as a statistical technique for the design of the experiment was used for the optimization of recombinant GOX production by Y. lipolytica. Then, the optimized conditions were used for the production of GOX in bioreactor cultivation.
Results: GOX production was increased up to 570 U/L after optimization of the medium in flask culture which is 2 times more than the non-optimized medium. In the bioreactor culture using optimized medium containing glucose and sucrose as carbon sources, GOX production was reached 720 and 730 U/L after two and six days, respectively.
Discussion and Conclusion: Results of the study provided valuable information about the statistical optimization of bioprocess development for the production of heterologous protein in Y. lipolytica. |
| first_indexed | 2024-12-22T06:36:10Z |
| format | Article |
| id | doaj.art-061fbc0105cc49ccb4f82a31f784a9b8 |
| institution | Directory Open Access Journal |
| issn | 2322-5173 2322-5181 |
| language | English |
| last_indexed | 2024-12-22T06:36:10Z |
| publishDate | 2021-12-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | Biological Journal of Microorganism |
| spelling | doaj.art-061fbc0105cc49ccb4f82a31f784a9b82022-12-21T18:35:34ZengUniversity of IsfahanBiological Journal of Microorganism2322-51732322-51812021-12-011040717910.22108/bjm.2021.125885.135125553Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodologyFarshad Darvishi0َAmin Zarei1Catherine Madzak2- Department of Biology, Faculty of Science, University of Maragheh, Maragheh, Iran. - Department of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran.Department of Biology, Faculty of Science, University of Maragheh, Maragheh, Iran.The French National Research Institute for Agriculture, Food, and the Environment (INRAE), Paris-Saclay University, Paris,Introduction: Glucose oxidase (GOX) is considered a commercial enzyme in the medicine, pharmaceutical, and food industries. Optimization of the fermentation medium and conditions is important to increase heterologous GOX production. The current study aimed to optimize GOX production in a recombinant strain of Yarrowia lipolytica via statistical techniques. Materials and Methods: Response surface methodology (RSM) as a statistical technique for the design of the experiment was used for the optimization of recombinant GOX production by Y. lipolytica. Then, the optimized conditions were used for the production of GOX in bioreactor cultivation. Results: GOX production was increased up to 570 U/L after optimization of the medium in flask culture which is 2 times more than the non-optimized medium. In the bioreactor culture using optimized medium containing glucose and sucrose as carbon sources, GOX production was reached 720 and 730 U/L after two and six days, respectively. Discussion and Conclusion: Results of the study provided valuable information about the statistical optimization of bioprocess development for the production of heterologous protein in Y. lipolytica.https://bjm.ui.ac.ir/article_25553_26442381e49246fd9eadcdbf1629df77.pdfyarrowia lipolyticaglucose oxidaseoptimizationresponse surface methodologybioreactor |
| spellingShingle | Farshad Darvishi َAmin Zarei Catherine Madzak Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology Biological Journal of Microorganism yarrowia lipolytica glucose oxidase optimization response surface methodology bioreactor |
| title | Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology |
| title_full | Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology |
| title_fullStr | Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology |
| title_full_unstemmed | Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology |
| title_short | Statistical optimization of recombinant glucose oxidase production by yeast Yarrowia lipolytica using response surface methodology |
| title_sort | statistical optimization of recombinant glucose oxidase production by yeast yarrowia lipolytica using response surface methodology |
| topic | yarrowia lipolytica glucose oxidase optimization response surface methodology bioreactor |
| url | https://bjm.ui.ac.ir/article_25553_26442381e49246fd9eadcdbf1629df77.pdf |
| work_keys_str_mv | AT farshaddarvishi statisticaloptimizationofrecombinantglucoseoxidaseproductionbyyeastyarrowialipolyticausingresponsesurfacemethodology AT aminzarei statisticaloptimizationofrecombinantglucoseoxidaseproductionbyyeastyarrowialipolyticausingresponsesurfacemethodology AT catherinemadzak statisticaloptimizationofrecombinantglucoseoxidaseproductionbyyeastyarrowialipolyticausingresponsesurfacemethodology |