Literature DB >> 28966564

Modularity: genes, development and evolution.

Diogo Melo1, Arthur Porto2, James M Cheverud3, Gabriel Marroig1.   

Abstract

Modularity has emerged as a central concept for evolutionary biology, providing the field with a theory of organismal structure and variation. This theory has reframed long standing questions and serves as a unified conceptual framework for genetics, developmental biology and multivariate evolution. Research programs in systems biology and quantitative genetics are bridging the gap between these fields. While this synthesis is ongoing, some major themes have emerged and empirical evidence for modularity has become abundant. In this review, we look at modularity from an historical perspective, highlighting its meaning at different levels of biological organization and the different methods that can be used to detect it. We then explore the relationship between quantitative genetic approaches to modularity and developmental genetic studies. We conclude by investigating the dynamic relationship between modularity and the adaptive landscape and how this potentially shapes evolution and can help bridge the gap between micro- and macroevolution.

Entities:  

Keywords:  G-matrix; adaptive landscape; genotype-phenotype map; macroevolution; morphological integration

Year:  2016        PMID: 28966564      PMCID: PMC5617135          DOI: 10.1146/annurev-ecolsys-121415-032409

Source DB:  PubMed          Journal:  Annu Rev Ecol Evol Syst        ISSN: 1543-592X            Impact factor:   13.915


  92 in total

Review 1.  The genetics and evo-devo of butterfly wing patterns.

Authors:  Patrícia Beldade; Paul M Brakefield
Journal:  Nat Rev Genet       Date:  2002-06       Impact factor: 53.242

2.  A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics.

Authors:  Juliane Schäfer; Korbinian Strimmer
Journal:  Stat Appl Genet Mol Biol       Date:  2005-11-14

3.  The Genetic Basis for Constructing Selection Indexes.

Authors:  L N Hazel
Journal:  Genetics       Date:  1943-11       Impact factor: 4.562

4.  Serial homology and the evolution of mammalian limb covariation structure.

Authors:  Nathan M Young; Benedikt Hallgrímsson
Journal:  Evolution       Date:  2005-12       Impact factor: 3.694

5.  Empirical comparison of G matrix test statistics: finding biologically relevant change.

Authors:  Brittny Calsbeek; Charles J Goodnight
Journal:  Evolution       Date:  2009-05-28       Impact factor: 3.694

6.  Size variation, growth strategies, and the evolution of modularity in the mammalian skull.

Authors:  Arthur Porto; Leila Teruko Shirai; Felipe Bandoni de Oliveira; Gabriel Marroig
Journal:  Evolution       Date:  2013-07-03       Impact factor: 3.694

7.  Directional selection can drive the evolution of modularity in complex traits.

Authors:  Diogo Melo; Gabriel Marroig
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-29       Impact factor: 11.205

8.  Multiple fitness peaks on the adaptive landscape drive adaptive radiation in the wild.

Authors:  Christopher H Martin; Peter C Wainwright
Journal:  Science       Date:  2013-01-11       Impact factor: 47.728

9.  The evolution of phenotypic correlations and "developmental memory".

Authors:  Richard A Watson; Günter P Wagner; Mihaela Pavlicev; Daniel M Weinreich; Rob Mills
Journal:  Evolution       Date:  2014-02-01       Impact factor: 3.694

10.  The molecular through ecological genetics of abnormal abdomen in Drosophila mercatorum. I. Basic genetics.

Authors:  A R Templeton; T J Crease; F Shah
Journal:  Genetics       Date:  1985-12       Impact factor: 4.562

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  33 in total

1.  Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation.

Authors:  Grant Kinsler; Kerry Geiler-Samerotte; Dmitri A Petrov
Journal:  Elife       Date:  2020-12-02       Impact factor: 8.140

Review 2.  Developmental Bias and Evolution: A Regulatory Network Perspective.

Authors:  Tobias Uller; Armin P Moczek; Richard A Watson; Paul M Brakefield; Kevin N Laland
Journal:  Genetics       Date:  2018-08       Impact factor: 4.562

3.  The Evolution of Science in a Latin-American Country: Genetics and Genomics in Brazil.

Authors:  Francisco M Salzano
Journal:  Genetics       Date:  2018-03       Impact factor: 4.562

4.  Exploring modularity in biological networks.

Authors:  Maria Serban
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-02-24       Impact factor: 6.237

5.  Measuring the magnitude of morphological integration: The effect of differences in morphometric representations and the inclusion of size.

Authors:  Fabio A Machado; Alex Hubbe; Diogo Melo; Arthur Porto; Gabriel Marroig
Journal:  Evolution       Date:  2019-10-28       Impact factor: 3.694

Review 6.  Co-opting evo-devo concepts for new insights into mechanisms of behavioural diversity.

Authors:  Kim L Hoke; Elizabeth Adkins-Regan; Andrew H Bass; Amy R McCune; Mariana F Wolfner
Journal:  J Exp Biol       Date:  2019-04-15       Impact factor: 3.312

7.  Evolution of the Genotype-to-Phenotype Map and the Cost of Pleiotropy in Mammals.

Authors:  Arthur Porto; Ryan Schmelter; John L VandeBerg; Gabriel Marroig; James M Cheverud
Journal:  Genetics       Date:  2016-10-26       Impact factor: 4.562

8.  Development and function explain the modular evolution of phalanges in gecko lizards.

Authors:  Priscila S Rothier; Monique N Simon; Gabriel Marroig; Anthony Herrel; Tiana Kohlsdorf
Journal:  Proc Biol Sci       Date:  2022-01-12       Impact factor: 5.349

9.  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

10.  Developmental instability and phenotypic evolution in a small and isolated bear population.

Authors:  A Loy; P Ciucci; G Guidarelli; E Roccotelli; P Colangelo
Journal:  Biol Lett       Date:  2021-04-21       Impact factor: 3.703

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