Literature DB >> 20148950

Evolution of flowering time in experimental wheat populations: a comprehensive approach to detect genetic signatures of natural selection.

Bénédicte Rhoné1, Renaud Vitalis, Isabelle Goldringer, Isabelle Bonnin.   

Abstract

In annual plant species, flowering time is a major adaptive trait that synchronizes the initiation of reproduction with favorable environmental conditions. Here, we aimed at studying the evolution of flowering time in three experimental populations of bread wheat, grown in contrasting environments (Northern to Southern France) for 12 generations. By comparing the distribution of phenotypic and presumably neutral variation, we first showed that flowering time responded to selection during the 12 generations of the experiment. To get insight into the genetic architecture of that trait, we then tested whether the distribution of genetic polymorphisms at six candidate genes, presumably involved in the trait expression, departed from neutral expectation. To that end, we focused on the temporal variation during the course of the experiment, and on the spatial differentiation at the end of the experiment, using previously published methods adapted to our experimental design. Only those genes that were strongly associated with flowering time variation were detected as responding to selection. For genes that had low-to-moderate phenotypic effects, or when there was interaction across different genes, we did not find evidence of selection using methods based on the distribution of temporal or spatial variation. In such cases, it might be more informative to consider multilocus and multiallelic combinations across genes, which could be the targets of selection.

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Year:  2010        PMID: 20148950     DOI: 10.1111/j.1558-5646.2010.00970.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  11 in total

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3.  Deciphering the genetics of flowering time by an association study on candidate genes in bread wheat (Triticum aestivum L.).

Authors:  Michel Rousset; Isabelle Bonnin; Carine Remoué; Matthieu Falque; Bénédicte Rhoné; Jean-Baptiste Veyrieras; Delphine Madur; Alain Murigneux; François Balfourier; Jacques Le Gouis; Sylvain Santoni; Isabelle Goldringer
Journal:  Theor Appl Genet       Date:  2011-07-15       Impact factor: 5.699

4.  Efficiently tracking selection in a multiparental population: the case of earliness in wheat.

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Review 5.  Using the resurrection approach to understand contemporary evolution in changing environments.

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7.  Natural Selection Towards Wild-Type in Composite Cross Populations of Winter Wheat.

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10.  Quantifying temporal change in plant population attributes: insights from a resurrection approach.

Authors:  Rocío Gómez; Belén Méndez-Vigo; Arnald Marcer; Carlos Alonso-Blanco; F Xavier Picó
Journal:  AoB Plants       Date:  2018-10-10       Impact factor: 3.276

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