Literature DB >> 21653438

Genetic variation in flowering time induces phenological assortative mating: quantitative genetic methods applied to Brassica rapa.

Arthur E Weis1, Tanya M Kossler.   

Abstract

It has been argued from first principles that plants mate assortatively by flowering time. However, there have been very few studies of phenological assortative mating, perhaps because current methods to infer paternal phenotype are difficult to apply to natural populations. Two methods are presented to estimate the phenotypic correlation between mates-the quantitative genetic metric for assortative mating-for phenological traits. The first method uses individual flowering schedules to estimate mating probabilities for every potential pairing in a sample. These probabilities are then incorporated into a weighted phenotypic correlation between all potential mates and thus yield a prospective estimate based on mating opportunities. The correlation between mates can also be estimated retrospectively by comparing the regression of offspring phenotype over one parent, which is inflated by assortative mating, to the regression over mid-parent, which is not. In a demonstration experiment with Brassica rapa, the prospective correlation between flowering times (days from germination to anthesis) of pollen recipients and their potential donors was 0.58. The retrospective estimate of this correlation strongly agreed with the prospective estimate. The prospective method is easily employed in field studies that explore the effect of phenological assortative mating on selection response and population differentiation.

Entities:  

Year:  2004        PMID: 21653438     DOI: 10.3732/ajb.91.6.825

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  25 in total

1.  Toward a synthetic understanding of the role of phenology in ecology and evolution.

Authors:  Jessica Forrest; Abraham J Miller-Rushing
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

2.  Rapid evolution of flowering time by an annual plant in response to a climate fluctuation.

Authors:  Steven J Franks; Sheina Sim; Arthur E Weis
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-12       Impact factor: 11.205

3.  Incipient allochronic speciation due to non-selective assortative mating by flowering time, mutation and genetic drift.

Authors:  Céline Devaux; Russell Lande
Journal:  Proc Biol Sci       Date:  2008-12-07       Impact factor: 5.349

4.  Temporal variation in phenotypic gender and expected functional gender within and among individuals in an annual plant.

Authors:  Emily J Austen; Arthur E Weis
Journal:  Ann Bot       Date:  2014-05-22       Impact factor: 4.357

5.  Insect Seed Predators in Erythrina falcata (Fabaceae): Identification of Predatory Species and Ecological Consequences of Asynchronous Flowering.

Authors:  C M Pereira; M O Moura; P R Da-Silva
Journal:  Neotrop Entomol       Date:  2014-04-15       Impact factor: 1.434

6.  Estimating selection through male fitness: three complementary methods illuminate the nature and causes of selection on flowering time.

Authors:  Emily J Austen; Arthur E Weis
Journal:  Proc Biol Sci       Date:  2016-02-24       Impact factor: 5.349

7.  Cotyledon damage affects seed number through final plant size in the annual grassland species Medicago lupulina.

Authors:  Shiting Zhang; Chuan Zhao; Eric G Lamb
Journal:  Ann Bot       Date:  2010-12-31       Impact factor: 4.357

8.  Climate change alters reproductive isolation and potential gene flow in an annual plant.

Authors:  Steven J Franks; Arthur E Weis
Journal:  Evol Appl       Date:  2009-04-27       Impact factor: 5.183

9.  Genetics of days to flowering, maturity and plant height in natural and derived forms of Brassica rapa L.

Authors:  Snehdeep Kaur; Chhaya Atri; Javed Akhatar; Meenakshi Mittal; Rimaljeet Kaur; Surinder S Banga
Journal:  Theor Appl Genet       Date:  2020-10-21       Impact factor: 5.699

10.  The limits of mean-field heterozygosity estimates under spatial extension in simulated plant populations.

Authors:  James L Kitchen; Robin G Allaby
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

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