Literature DB >> 16411943

Adaptive evolution of reproductive and vegetative traits driven by breeding systems.

Miguel Verdú1, Gabriela Gleiser.   

Abstract

The evolution of inflorescence size, a key trait in reproductive success, was studied in the genus Acer under a perspective of adaptive evolution. Breeding systems, hypothesized to indicate different levels of mating competition, were considered as the selective scenarios defining different optima of inflorescence size. Larger inflorescences, which increase male fitness by generating larger floral displays, were hypothesized to be selected under scenarios with higher competition with unisexuals. An identical approach was used to test if the same selective regimes could be driving the evolution of leaf size, a vegetative trait that was found to be correlated with inflorescence size. A Brownian motion model of inflorescence/leaf-size evolution (which cannot distinguish between changes caused by pure drift processes and changes caused by natural selection in rapidly and randomly changing environments) was compared with several adaptive Ornstein-Uhlenbeck (OU) models, which can quantify the effects of both stochasticity and natural selection. The best-fitting model for inflorescence/leaf-size evolution was an OU model with three optima that increased with the level of mating competition. Both traits evolved under the same selective regimes and in the same direction, confirming a pattern of correlated evolution. These results show that a selective regime hypothetically related to the evolution of a reproductive trait can also explain the evolution of a vegetative trait.

Mesh:

Year:  2006        PMID: 16411943     DOI: 10.1111/j.1469-8137.2005.01586.x

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


  2 in total

1.  Similar gender dimorphism in the costs of reproduction across the geographic range of Fraxinus ornus.

Authors:  Miguel Verdú; Kostas Spanos; Ingrid Canová; Branko Slobodník; Ladislav Paule
Journal:  Ann Bot       Date:  2006-11-10       Impact factor: 4.357

2.  Experimental evidence that the Ornstein-Uhlenbeck model best describes the evolution of leaf litter decomposability.

Authors:  Xu Pan; Johannes H C Cornelissen; Wei-Wei Zhao; Guo-Fang Liu; Yu-Kun Hu; Andreas Prinzing; Ming Dong; William K Cornwell
Journal:  Ecol Evol       Date:  2014-08-06       Impact factor: 2.912

  2 in total

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