Literature DB >> 28256726

Covariation and phenotypic integration in chemical communication displays: biosynthetic constraints and eco-evolutionary implications.

Robert R Junker1, Jonas Kuppler1, Luisa Amo2,3, James D Blande4, Renee M Borges5, Nicole M van Dam6, Marcel Dicke7, Stefan Dötterl1, Bodil K Ehlers8, Florian Etl1,9, Jonathan Gershenzon10, Robert Glinwood11, Rieta Gols7, Astrid T Groot12,13, Martin Heil14, Mathias Hoffmeister1, Jarmo K Holopainen4, Stefan Jarau15, Lena John15, Andre Kessler16, Jette T Knudsen17,18, Christian Kost19,20, Anne-Amélie C Larue-Kontic1, Sara Diana Leonhardt21, Dani Lucas-Barbosa7, Cassie J Majetic22, Florian Menzel23, Amy L Parachnowitsch24, Rémy S Pasquet25, Erik H Poelman7, Robert A Raguso26, Joachim Ruther27, Florian P Schiestl28, Thomas Schmitt21, Dorothea Tholl29, Sybille B Unsicker10, Niels Verhulst7, Marcel E Visser2, Berhane T Weldegergis7, Tobias G Köllner10.   

Abstract

Chemical communication is ubiquitous. The identification of conserved structural elements in visual and acoustic communication is well established, but comparable information on chemical communication displays (CCDs) is lacking. We assessed the phenotypic integration of CCDs in a meta-analysis to characterize patterns of covariation in CCDs and identified functional or biosynthetically constrained modules. Poorly integrated plant CCDs (i.e. low covariation between scent compounds) support the notion that plants often utilize one or few key compounds to repel antagonists or to attract pollinators and enemies of herbivores. Animal CCDs (mostly insect pheromones) were usually more integrated than those of plants (i.e. stronger covariation), suggesting that animals communicate via fixed proportions among compounds. Both plant and animal CCDs were composed of modules, which are groups of strongly covarying compounds. Biosynthetic similarity of compounds revealed biosynthetic constraints in the covariation patterns of plant CCDs. We provide a novel perspective on chemical communication and a basis for future investigations on structural properties of CCDs. This will facilitate identifying modules and biosynthetic constraints that may affect the outcome of selection and thus provide a predictive framework for evolutionary trajectories of CCDs in plants and animals.
© 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Keywords:  biosynthetic constraints; chemical communication; correlation network analysis; floral scents; phenotypic integration; vegetative scents

Mesh:

Substances:

Year:  2017        PMID: 28256726     DOI: 10.1111/nph.14505

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  13 in total

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2.  Volatile organic compound patterns predict fungal trophic mode and lifestyle.

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6.  A biosynthetically informed distance measure to compare secondary metabolite profiles.

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Journal:  Ecol Evol       Date:  2018-02-22       Impact factor: 2.912

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