Literature DB >> 23240615

Rapid and unpredictable changes of the G-matrix in a natural bird population over 25 years.

M Björklund1, A Husby, L Gustafsson.   

Abstract

Knowledge of the genetic variances and covariances of traits (the G-matrix) is fundamental for the understanding of evolutionary dynamics of populations. Despite its essential importance in evolutionary studies, empirical tests of the temporal stability of the G-matrix in natural populations are few. We used a 25-year-long individual-based field study on almost 7000 breeding attempts of the collared flycatcher (Ficedula albicollis) to estimate the stability of the G-matrix over time. Using animal models to estimate G for several time periods, we show that the structure of the time-specific G-matrices changed significantly over time. The temporal changes in the G-matrix were unpredictable, and the structure at one time period was not indicative of the structure at the next time period. Moreover, we show that the changes in the time-specific G-matrices were not related to changes in mean trait values or due to genetic drift. Selection, differences in acquisition/allocation patterns or environment-dependent allelic effects are therefore likely explanations for the patterns observed, probably in combination. Our result cautions against assuming constancy of the G-matrix and indicates that even short-term evolutionary predictions in natural populations can be very challenging.
© 2012 The Authors. Journal of Evolutionary Biology © 2012 European Society For Evolutionary Biology.

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Year:  2013        PMID: 23240615     DOI: 10.1111/jeb.12044

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


  16 in total

1.  Directional Selection Rather Than Functional Constraints Can Shape the G Matrix in Rapidly Adapting Asexuals.

Authors:  Kevin Gomez; Jason Bertram; Joanna Masel
Journal:  Genetics       Date:  2018-12-17       Impact factor: 4.562

2.  Evidence for Selection-by-Environment but Not Genotype-by-Environment Interactions for Fitness-Related Traits in a Wild Mammal Population.

Authors:  Adam D Hayward; Josephine M Pemberton; Camillo Berenos; Alastair J Wilson; Jill G Pilkington; Loeske E B Kruuk
Journal:  Genetics       Date:  2017-11-10       Impact factor: 4.562

3.  Comparative analysis of the multivariate genetic architecture of morphological traits in three species of Gomphocerine grasshoppers.

Authors:  Anasuya Chakrabarty; Holger Schielzeth
Journal:  Heredity (Edinb)       Date:  2019-10-24       Impact factor: 3.821

4.  Antagonistic selection and pleiotropy constrain the evolution of plant chemical defenses.

Authors:  Rose A Keith; Thomas Mitchell-Olds
Journal:  Evolution       Date:  2019-04-15       Impact factor: 3.694

5.  Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance.

Authors:  Tyler D Hether; Paul A Hohenlohe
Journal:  Evolution       Date:  2013-12-04       Impact factor: 3.694

6.  Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping.

Authors:  Kerry A Geiler-Samerotte; Shuang Li; Charalampos Lazaris; Austin Taylor; Naomi Ziv; Chelsea Ramjeawan; Annalise B Paaby; Mark L Siegal
Journal:  PLoS Biol       Date:  2020-08-17       Impact factor: 8.029

7.  Modularity: genes, development and evolution.

Authors:  Diogo Melo; Arthur Porto; James M Cheverud; Gabriel Marroig
Journal:  Annu Rev Ecol Evol Syst       Date:  2016-09-07       Impact factor: 13.915

8.  Conserved G-matrices of morphological and life-history traits among continental and island blue tit populations.

Authors:  B Delahaie; A Charmantier; S Chantepie; D Garant; M Porlier; C Teplitsky
Journal:  Heredity (Edinb)       Date:  2017-04-12       Impact factor: 3.821

9.  Assessing multivariate constraints to evolution across ten long-term avian studies.

Authors:  Celine Teplitsky; Maja Tarka; Anders P Møller; Shinichi Nakagawa; Javier Balbontín; Terry A Burke; Claire Doutrelant; Arnaud Gregoire; Bengt Hansson; Dennis Hasselquist; Lars Gustafsson; Florentino de Lope; Alfonso Marzal; James A Mills; Nathaniel T Wheelwright; John W Yarrall; Anne Charmantier
Journal:  PLoS One       Date:  2014-03-07       Impact factor: 3.240

10.  Detecting cryptic indirect genetic effects.

Authors:  Nathan W Bailey; Jessica L Hoskins
Journal:  Evolution       Date:  2014-05-05       Impact factor: 3.694

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