Literature DB >> 21121090

Selection on signal–reward correlation: limits and opportunities to the evolution of deceit in Turnera ulmifolia L.

S Benitez-Vieyra1, M Ordano, J Fornoni, K Boege, C A Domínguez.   

Abstract

Because pollinators are unable to directly assess the amount of rewards offered by flowers, they rely on the information provided by advertising floral traits. Thus, having a lower intra-individual correlation between signal and reward (signal accuracy) than other plants in the population provides the opportunity to reduce investment in rewards and cheat pollinators. However, pollinators' cognitive capacities can impose a limit to the evolution of this plant cheating strategy if they can punish those plants with low signal accuracy. In this study, we examined the opportunity for cheating in the perennial weed Turnera ulmifolia L. evaluating the selective value of signal accuracy, floral display and reward production in a natural population. We found that plant reproductive success was positively related to signal accuracy and floral display, but not to nectar production. The intensity of selection on floral display was more than three times higher than on signal accuracy. The pattern of selection indicated that pollinators can select for signal accuracy provided by plants and suggests that learning abilities of pollinators can limit the evolution of deceptive strategies in T. ulmifolia.
© 2010 The Authors. Journal Compilation © 2010 European Society For Evolutionary Biology.

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Year:  2010        PMID: 21121090     DOI: 10.1111/j.1420-9101.2010.02132.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  14 in total

1.  How to cheat when you cannot lie? Deceit pollination in Begonia gracilis.

Authors:  Reyna A Castillo; Helga Caballero; Karina Boege; Juan Fornoni; César A Domínguez
Journal:  Oecologia       Date:  2012-07       Impact factor: 3.225

2.  Birds see the true colours of fruits to live off the fat of the land.

Authors:  H Martin Schaefer; Alfredo Valido; Pedro Jordano
Journal:  Proc Biol Sci       Date:  2014-01-08       Impact factor: 5.349

Review 3.  Evolutionary ecology of nectar.

Authors:  Amy L Parachnowitsch; Jessamyn S Manson; Nina Sletvold
Journal:  Ann Bot       Date:  2019-01-23       Impact factor: 4.357

4.  The evolution of signal-reward correlations in bee- and hummingbird-pollinated species of Salvia.

Authors:  Santiago Benitez-Vieyra; Juan Fornoni; Jessica Pérez-Alquicira; Karina Boege; César A Domínguez
Journal:  Proc Biol Sci       Date:  2014-03-19       Impact factor: 5.349

5.  Ants Associated with Turnera subulata (Turneraceae): Elaiosome Attraction, Seed Dispersion and Germination.

Authors:  M L C Rocha; P F Cristaldo; J S Cruz; J J M Sacramento; D V Ferreira; A P A Araújo
Journal:  Neotrop Entomol       Date:  2018-07-07       Impact factor: 1.434

Review 6.  The floral morphospace--a modern comparative approach to study angiosperm evolution.

Authors:  Marion Chartier; Florian Jabbour; Sylvain Gerber; Philipp Mitteroecker; Hervé Sauquet; Maria von Balthazar; Yannick Staedler; Peter R Crane; Jürg Schönenberger
Journal:  New Phytol       Date:  2014-12       Impact factor: 10.151

7.  The signalling game between plants and pollinators.

Authors:  Shan Sun; Michael I Leshowitz; Jan Rychtář
Journal:  Sci Rep       Date:  2018-04-27       Impact factor: 4.379

8.  Armament imbalances: match and mismatch in plant-pollinator traits of highly specialized long-spurred orchids.

Authors:  Marcela Moré; Felipe W Amorim; Santiago Benitez-Vieyra; A Martin Medina; Marlies Sazima; Andrea A Cocucci
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

9.  Signals can trump rewards in attracting seed-dispersing ants.

Authors:  Kyle M Turner; Megan E Frederickson
Journal:  PLoS One       Date:  2013-08-13       Impact factor: 3.240

10.  Fluctuating selection across years and phenotypic variation in food-deceptive orchids.

Authors:  Giovanni Scopece; Nicolas Juillet; Christian Lexer; Salvatore Cozzolino
Journal:  PeerJ       Date:  2017-08-25       Impact factor: 2.984

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