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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365444/ https://www.ncbi.nlm.nih.gov/pubmed/32673365 http://dx.doi.org/10.1371/journal.pone.0236191 |
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author | Salehi, Mina Moieni, Ahmad Safaie, Naser Farhadi, Siamak |
author_facet | Salehi, Mina Moieni, Ahmad Safaie, Naser Farhadi, Siamak |
author_sort | Salehi, Mina |
collection | PubMed |
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 (R(2)), 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. |
format | Online Article Text |
id | pubmed-7365444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73654442020-08-05 Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture Salehi, Mina Moieni, Ahmad Safaie, Naser Farhadi, Siamak PLoS One Research Article 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 (R(2)), 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. Public Library of Science 2020-07-16 /pmc/articles/PMC7365444/ /pubmed/32673365 http://dx.doi.org/10.1371/journal.pone.0236191 Text en © 2020 Salehi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Salehi, Mina Moieni, Ahmad Safaie, Naser Farhadi, Siamak Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365444/ https://www.ncbi.nlm.nih.gov/pubmed/32673365 http://dx.doi.org/10.1371/journal.pone.0236191 |
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