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      Correlated evolution of flower size and seed number in flowering plants (monocotyledons)

      1 , 2 , 1 , 1 , 3 , 2 , 4
      Annals of Botany
      Oxford University Press (OUP)

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          Abstract

          Kin selection theory predicts that a parent may minimize deleterious effects of competition among seeds developing within ovaries by increasing the genetic relatedness of seeds within an ovary. Alternatively, the number of developing seeds could be reduced to one or a few. It has also been suggested that single or few seeded fruits may be correlated with small flowers, and multi-ovulate ovaries or many seeded fruits may be associated with large flowers with specialized pollination mechanisms. We examined the correlation between flower size and seed number in 69 families of monocotyledons to assess if correlations are significant and independent of phylogeny. We first examined the effect of phylogenetic history on the evolution of these two traits, flower size and seed number, and then mapped correlations between them on the latest phylogenetic tree of monocotyledons. The results provide phylogenetically robust evidence of strong correlated evolution between flower size and seed number and show that correlated evolution of traits is not constrained by phylogenetic history of taxa. Moreover, the two character combinations, small flowers and a single or few seeds per fruit, and large flowers and many seeded fruits, have persisted in monocotyledons longer than other trait combinations. The analyses support the suggestion that most angiosperms may fall into two categories, one with large flowers and many seeded fruits and the other with small flowers and single or few seeded fruits, and kin selection within ovaries may explain the observed patterns.

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          Most cited references48

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          Flowering Plants

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            Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo.

            We describe a Bayesian method for investigating correlated evolution of discrete binary traits on phylogenetic trees. The method fits a continuous-time Markov model to a pair of traits, seeking the best fitting models that describe their joint evolution on a phylogeny. We employ the methodology of reversible-jump (RJ) Markov chain Monte Carlo to search among the large number of possible models, some of which conform to independent evolution of the two traits, others to correlated evolution. The RJ Markov chain visits these models in proportion to their posterior probabilities, thereby directly estimating the support for the hypothesis of correlated evolution. In addition, the RJ Markov chain simultaneously estimates the posterior distributions of the rate parameters of the model of trait evolution. These posterior distributions can be used to test among alternative evolutionary scenarios to explain the observed data. All results are integrated over a sample of phylogenetic trees to account for phylogenetic uncertainty. We implement the method in a program called RJ Discrete and illustrate it by analyzing the question of whether mating system and advertisement of estrus by females have coevolved in the Old World monkeys and great apes.
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              The Shapes and Sizes of Seeds

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                Author and article information

                Journal
                Annals of Botany
                Oxford University Press (OUP)
                0305-7364
                1095-8290
                January 01 2019
                January 01 2019
                August 28 2018
                January 01 2019
                January 01 2019
                August 28 2018
                : 123
                : 1
                : 181-190
                Affiliations
                [1 ]Department of Biology, University of Massachusetts, Boston, MA, USA
                [2 ]Ashoka Trust for Research in Ecology and the Environment, Bangalore, India
                [3 ]Departamento de Ecología, Facultad de Ciencias, Universidad Católica de la Santísima Concepción, Concepción, Chile
                [4 ]Department of Biology, Concordia University, Montreal, Quebec, Canada
                Article
                10.1093/aob/mcy154
                6344089
                30165602
                d4fcf410-2148-4fed-b37e-7be1920db2b5
                © 2018

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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