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Genetic algorithm as an optimization tool for the development of sponge cell culture media
Sponges are rich sources of novel natural products. Production in cell cultures may be an option for supply of these compounds but there are currently no sponge cell lines. Because there is a lack of understanding about the precise conditions and nutritional requirements that are necessary to sustai...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407725/ https://www.ncbi.nlm.nih.gov/pubmed/30747414 http://dx.doi.org/10.1007/s11626-018-00317-0 |
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author | Munroe, Stephanie Sandoval, Kenneth Martens, Dirk E. Sipkema, Detmer Pomponi, Shirley A. |
author_facet | Munroe, Stephanie Sandoval, Kenneth Martens, Dirk E. Sipkema, Detmer Pomponi, Shirley A. |
author_sort | Munroe, Stephanie |
collection | PubMed |
description | Sponges are rich sources of novel natural products. Production in cell cultures may be an option for supply of these compounds but there are currently no sponge cell lines. Because there is a lack of understanding about the precise conditions and nutritional requirements that are necessary to sustain sponge cells in vitro, there has yet to be a defined, sponge-specific nutrient medium. This study utilized a genetic algorithm approach to optimize the amino acid composition of a commercially available basal cell culture medium in order to increase the metabolic activity of cells of the marine sponge Dysidea etheria. Four generations of the algorithm were carried out in vitro in wet lab conditions and an optimal medium combination was selected for further evaluation. When compared to the basal medium control, there was a twofold increase in metabolic activity. The genetic algorithm approach can be used to optimize other components of culture media to efficiently optimize chosen parameters without the need for detailed knowledge on all possible interactions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11626-018-00317-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6407725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-64077252019-03-27 Genetic algorithm as an optimization tool for the development of sponge cell culture media Munroe, Stephanie Sandoval, Kenneth Martens, Dirk E. Sipkema, Detmer Pomponi, Shirley A. In Vitro Cell Dev Biol Anim Article Sponges are rich sources of novel natural products. Production in cell cultures may be an option for supply of these compounds but there are currently no sponge cell lines. Because there is a lack of understanding about the precise conditions and nutritional requirements that are necessary to sustain sponge cells in vitro, there has yet to be a defined, sponge-specific nutrient medium. This study utilized a genetic algorithm approach to optimize the amino acid composition of a commercially available basal cell culture medium in order to increase the metabolic activity of cells of the marine sponge Dysidea etheria. Four generations of the algorithm were carried out in vitro in wet lab conditions and an optimal medium combination was selected for further evaluation. When compared to the basal medium control, there was a twofold increase in metabolic activity. The genetic algorithm approach can be used to optimize other components of culture media to efficiently optimize chosen parameters without the need for detailed knowledge on all possible interactions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11626-018-00317-0) contains supplementary material, which is available to authorized users. Springer US 2019-02-11 2019 /pmc/articles/PMC6407725/ /pubmed/30747414 http://dx.doi.org/10.1007/s11626-018-00317-0 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Munroe, Stephanie Sandoval, Kenneth Martens, Dirk E. Sipkema, Detmer Pomponi, Shirley A. Genetic algorithm as an optimization tool for the development of sponge cell culture media |
title | Genetic algorithm as an optimization tool for the development of sponge cell culture media |
title_full | Genetic algorithm as an optimization tool for the development of sponge cell culture media |
title_fullStr | Genetic algorithm as an optimization tool for the development of sponge cell culture media |
title_full_unstemmed | Genetic algorithm as an optimization tool for the development of sponge cell culture media |
title_short | Genetic algorithm as an optimization tool for the development of sponge cell culture media |
title_sort | genetic algorithm as an optimization tool for the development of sponge cell culture media |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407725/ https://www.ncbi.nlm.nih.gov/pubmed/30747414 http://dx.doi.org/10.1007/s11626-018-00317-0 |
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