Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture.
Paclitaxel is an effective natural-source chemotherapeutic agent commonly applied to treat a vast range of cancers. In vitro Corylus avellana culture has been reported as a promising and inexpensive system for paclitaxel production. Fungal elicitors have been made known as the most efficient strateg...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236191&type=printable |
| _version_ | 1826574339861905408 |
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| author | Mina Salehi Ahmad Moieni Naser Safaie Siamak Farhadi |
| author_facet | Mina Salehi Ahmad Moieni Naser Safaie Siamak Farhadi |
| author_sort | Mina Salehi |
| collection | DOAJ |
| description | Paclitaxel is an effective natural-source chemotherapeutic agent commonly applied to treat a vast range of cancers. In vitro Corylus avellana culture has been reported as a promising and inexpensive system for paclitaxel production. Fungal elicitors have been made known as the most efficient strategy for the biosynthesis induction of secondary metabolites in plant in vitro culture. In this research, C. avellana cell suspension culture (CSC) was exposed to cell extract (CE) and culture filtrate (CF) derived from Camarosporomyces flavigenus, either individually or combined treatment, in mid and late log phase. There is no report on the use of whole fungal elicitors (the combined treatment of CE and CF) for the elicitation of secondary metabolite biosynthesis in plant in vitro culture. The combined treatment of CE and CF significantly led to more paclitaxel biosynthesis and secretion than the individual use of them. Also, multivariate statistical approaches including stepwise regression (SR), ordinary least squares regression (OLSR), principal component regression (PCR) and partial least squares regression (PLSR) were used to model and predict paclitaxel biosynthesis and secretion. Based on value account for (VAF), root mean square error (RMSE), coefficient of determination (R2), mean absolute percentage error (MAPE) and relative percent difference (RPD) can be concluded that mentioned regression models effectively worked only for modeling and predicting extracellular paclitaxel portion in C. avellana cell culture. |
| first_indexed | 2024-12-16T09:32:30Z |
| format | Article |
| id | doaj.art-7c78ce73a22e4702b6704290450e89d5 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2025-03-14T12:57:14Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-7c78ce73a22e4702b6704290450e89d52025-03-02T05:32:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023619110.1371/journal.pone.0236191Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture.Mina SalehiAhmad MoieniNaser SafaieSiamak FarhadiPaclitaxel is an effective natural-source chemotherapeutic agent commonly applied to treat a vast range of cancers. In vitro Corylus avellana culture has been reported as a promising and inexpensive system for paclitaxel production. Fungal elicitors have been made known as the most efficient strategy for the biosynthesis induction of secondary metabolites in plant in vitro culture. In this research, C. avellana cell suspension culture (CSC) was exposed to cell extract (CE) and culture filtrate (CF) derived from Camarosporomyces flavigenus, either individually or combined treatment, in mid and late log phase. There is no report on the use of whole fungal elicitors (the combined treatment of CE and CF) for the elicitation of secondary metabolite biosynthesis in plant in vitro culture. The combined treatment of CE and CF significantly led to more paclitaxel biosynthesis and secretion than the individual use of them. Also, multivariate statistical approaches including stepwise regression (SR), ordinary least squares regression (OLSR), principal component regression (PCR) and partial least squares regression (PLSR) were used to model and predict paclitaxel biosynthesis and secretion. Based on value account for (VAF), root mean square error (RMSE), coefficient of determination (R2), mean absolute percentage error (MAPE) and relative percent difference (RPD) can be concluded that mentioned regression models effectively worked only for modeling and predicting extracellular paclitaxel portion in C. avellana cell culture.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236191&type=printable |
| spellingShingle | Mina Salehi Ahmad Moieni Naser Safaie Siamak Farhadi Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. PLoS ONE |
| title | Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. |
| title_full | Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. |
| title_fullStr | Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. |
| title_full_unstemmed | Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. |
| title_short | Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. |
| title_sort | whole fungal elicitors boost paclitaxel biosynthesis induction in corylus avellana cell culture |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236191&type=printable |
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