Data di Pubblicazione:
2017
Abstract:
Plants emission of Volatile Organic Compounds (VOCs) is involved in a wide class of ecological functions,
as VOCs play a crucial role in plants interactions with biotic and abiotic factors. Accordingly, they vary
widely across species and underpin differences in ecological strategy. In this paper, VOCs spontaneously
emitted by 109 plant species (belonging to 56 different families) have been qualitatively and
quantitatively analysed in order to provide an alternative classification of plants species. In particular,
by using bipartite networks methodology from Complex Network Theory, and through the application
of community detection algorithms, we show that is possible to classify species according to chemical
classes such as terpenes and sulfur compounds. Such complex network analysis allows to uncover
hidden plants relationships related to their evolutionary and adaptation to the environment story.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
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Elenco autori:
Vivaldo, Gianna; Caldarelli, Guido
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