The network of plants volatile organic compounds

被引：144

作者：

Vivaldo, Gianna ^{[1
]}

Masi, Elisa ^{[2
]}

Taiti, Cosimo ^{[2
]}

Caldarelli, Guido ^{[3
,4
,5
]}

Mancuso, Stefano ^{[2
]}

机构：

[1] CNR, Geosci & Earth Resources IGG, Pisa, Italy

[2] Univ Firenze, Dipartimento Sci Prod Agroalimentari & Ambiente D, Viale Idee 30, I-50019 Florence, Italy

[3] IMT Sch Adv Studies, Piazza San Francesco 19, I-55100 Lucca, Italy

[4] ISC, Rome, Italy

[5] London Inst Math Sci, 35a South St Mayfair, London W1K 2XF, England

来源：

SCIENTIFIC REPORTS | 2017年 / 7卷

关键词：

REACTION-MASS-SPECTROMETRY; TRANSFER REACTION-TIME; PTR-MS; EMISSIONS; SESQUITERPENES; INDUCTION; EVOLUTION; ECOLOGY; FUTURE; INDEX;

D O I：

10.1038/s41598-017-10975-x

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：18

共 72 条

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