Metabolomic Profiling of Natural Volatiles View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007

AUTHORS

Yury M. Tikunov , Francel W. A. Verstappen , Robert D. Hall

ABSTRACT

Plants are a fabulously rich source of naturally volatile metabolites, which are derived from a range of contrasting biochemical pathways (e.g., mono-, di-, and sesquiterpenoids, benzoates, alcohols, esters). Such volatiles may immediately be released from the plant or they may be stored, e.g., in glycosylated form for release later “on demand.” Certain roles for these molecules have already been determined in that they can function as attractants (e.g., to pollinators, seed dispersers, and others) or as protectants (repellants, pathogen inhibitors, and so on). The flavor and fragrance of plant materials to humans and other animals are also, to a great extent, determined by natural volatiles. Other more sophisticated roles have also been elucidated where plant volatiles have been shown to be involved either as signal molecules to attract the predators of damaging herbivorous insects or potentially even as signal molecules warning other plants of imminent danger. As such, detailed knowledge of these components can be valuable in relation to breeding crop varieties for enhanced product quality or for achieving improved resistance to pathogens and insects. Furthermore, knowledge of the metabolites can result in a corresponding knowledge of the genes responsible for their synthesis and this can lead to dedicated strategies for their in vitro production through, e.g., reverse genetics in heterologous microbial expression systems in fermentors for the production of high-value fine chemicals. Various analytical techniques based on gas chromatography-mass spectrometry have been devised for the analysis of this complex group of metabolites. Two of these key methods are detailed in this chapter. More... »

PAGES

39-53

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-59745-244-1_3

DOI

http://dx.doi.org/10.1007/978-1-59745-244-1_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000601782

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17035679


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