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Sci Rep

Title:		Chemical signal is in the blend: bases of plant-pollinator encounter in a highly specialized interaction
Author(s):		Proffit M; Lapeyre B; Buatois B; Deng X; Arnal P; Gouzerh F; Carrasco D; Hossaert-McKey M;
Address:		"CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valery Montpellier 3, Montpellier, France. magali.proffit@cefe.cnrs.fr. CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valery Montpellier 3, Montpellier, France. MIVEGEC, Univ Montpellier, IRD, CNRS, Montpellier, France"
Journal Title:		Sci Rep
Year:		2020
Volume:		20200622
Issue:		1
Page Number:		10071 -
DOI:		10.1038/s41598-020-66655-w
ISSN/ISBN:		2045-2322 (Electronic) 2045-2322 (Linking)
Abstract:		"In several highly specialized plant-insect interactions, scent-mediated specificity of pollinator attraction is directed by the emission and detection of volatile organic compounds (VOCs). Although some plants engaged in such interactions emit singular compounds, others emit mixtures of VOCs commonly emitted by plants. We investigated the chemical ecological bases of host plant recognition in the nursery pollination mutualism between the dioecious Ficus carica and its specific pollinator Blastophaga psenes. Using Y-tube olfactometer tests, we show that B. psenes females are attracted by VOCs of receptive figs of both sexes and do not exhibit preference for VOCs of either male or female figs. Electrophysiological tests and chemical analysis revealed that of all the VOCs emitted by receptive figs, only five were found to be active on female antennae. Behavioural tests show that, in contrast to VOCs presented alone, only a blend with a particular proportion of four of these VOCs is as attractive as the odour of receptive figs, and that if there is a very small change in this blend proportion, the pollinator is no longer attracted. This study revealed that in highly specialized mutualistic interactions specificity could be mediated by a particular blend of common compounds emitted by plants"
Keywords:
Notes:		"PubMed-not-MEDLINEProffit, Magali Lapeyre, Benoit Buatois, Bruno Deng, Xiaoxia Arnal, Pierre Gouzerh, Flora Carrasco, David Hossaert-McKey, Martine eng Research Support, Non-U.S. Gov't England 2020/06/24 Sci Rep. 2020 Jun 22; 10(1):10071. doi: 10.1038/s41598-020-66655-w"