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A Preliminary Assessment of Three Strategies for the Agent-Based Modeling of Bacterial Conjugation Read chapter Read first chapter

2015 | OriginalPaper | Chapter

UV-Visible Spectrophotometry-Based Metabolomic Analysis of Cedrela Fissilis Velozzo (Meliaceae) Calluses - A Screening Tool for Culture Medium Composition and Cell Metabolic Profiles

Authors : Fernanda Kokowicz Pilatti, Christopher Costa, Miguel Rocha, Marcelo Maraschin, Ana Maria Viana

Published in: 9th International Conference on Practical Applications of Computational Biology and Bioinformatics

Publisher: Springer International Publishing

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Abstract

In plant cell cultures aiming at the production of secondary metabolites of industrial interest, the culture medium composition is a decisive step for obtaining cell growth and high yields of the target compound(s). A rapid and reliable methodology for screening metabolic responses to medium composition is fundamental for the development of this biotechnological field. Following this approach, UV-Vis scanning spectrophotometry of callus extracts and their spectra pre-processing, univariate and multivariate analysis were tested in the present work. The results obtained successfully discriminated the culture media investigated and shed light on what metabolic pathways might be responsible for the differences among the callus cultures’ metabolic profiles.

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previous chapter UV-Visible Scanning Spectrophotometry and Chemometric Analysis as Tools to Build Descriptive and Classification Models for Propolis from Southern Brazil
next chapter An Integrated Computational Platform for Metabolomics Data Analysis
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Metadata
Title
UV-Visible Spectrophotometry-Based Metabolomic Analysis of Cedrela Fissilis Velozzo (Meliaceae) Calluses - A Screening Tool for Culture Medium Composition and Cell Metabolic Profiles
Authors
Fernanda Kokowicz Pilatti
Christopher Costa
Miguel Rocha
Marcelo Maraschin
Ana Maria Viana
Copyright Year
2015
Book
9th International Conference on Practical Applications of Computational Biology and Bioinformatics

Print ISBN: 978-3-319-19775-3

Electronic ISBN: 978-3-319-19776-0

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-19776-0_4

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