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Sci Rep

Title:		The network of plants volatile organic compounds
Author(s):		Vivaldo G; Masi E; Taiti C; Caldarelli G; Mancuso S;
Address:		"National Research Council, Geosciences and Earth Resources (IGG), Pisa, Italy. Universita di Firenze, Dipartimento di Scienze delle Produzioni Agroalimentari e dell'Ambiente (DISPAA), Viale delle Idee, 30, 50019, Sesto Fiorentino (Firenze), Italy. elisa.masi@unifi.it. Universita di Firenze, Dipartimento di Scienze delle Produzioni Agroalimentari e dell'Ambiente (DISPAA), Viale delle Idee, 30, 50019, Sesto Fiorentino (Firenze), Italy. IMT School for Advanced Studies, Piazza San Francesco 19, 55100, Lucca, Italy. Istituto dei Sistemi Complessi (ISC), Roma, Italy. London Institute for Mathematical Sciences, 35a South St. Mayfair, W1K 2XF, London, UK"
Journal Title:		Sci Rep
Year:		2017
Volume:		20170908
Issue:		1
Page Number:		11050 -
DOI:		10.1038/s41598-017-10975-x
ISSN/ISBN:		2045-2322 (Electronic) 2045-2322 (Linking)
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"
Keywords:
Notes:		"PubMed-not-MEDLINEVivaldo, Gianna Masi, Elisa Taiti, Cosimo Caldarelli, Guido Mancuso, Stefano eng Research Support, Non-U.S. Gov't England 2017/09/10 Sci Rep. 2017 Sep 8; 7(1):11050. doi: 10.1038/s41598-017-10975-x"