Literature DB >> 27245113

In search of morphological modules: a systematic review.

Borja Esteve-Altava1,2.   

Abstract

Morphological modularity arises in complex living beings due to a semi-independent inheritance, development, and function of body parts. Modularity helps us to understand the evolvability and plasticity of organismal form, and how morphological variation is structured during evolution and development. For this reason, delimiting morphological modules and establishing the factors involved in their origins is a lively field of inquiry in biology today. Although it is thought that modularity is pervasive in all living beings, actually we do not know how often modularity is present in different morphological systems. We also do not know whether some methodological approaches tend to reveal modular patterns more easily than others, or whether some factors are more related to the formation of modules or the integration of the whole phenotype. This systematic review seeks to answer these type of questions through an examination of research investigating morphological modularity from 1958 to present. More than 200 original research articles were gathered in order to reach a quantitative appraisal on what is studied, how it is studied, and how the results are explained. The results reveal an heterogeneous picture, where some taxa, systems, and approaches are over-studied, while others receive minor attention. Thus, this review points out various trends and gaps in the study of morphological modularity, offering a broad picture of current knowledge and where we can direct future research efforts.
© 2016 Cambridge Philosophical Society.

Keywords:  EvoDevo; developmental modules; functional modules; morphological modularity; phenotypic integration

Mesh:

Year:  2016        PMID: 27245113     DOI: 10.1111/brv.12284

Source DB:  PubMed          Journal:  Biol Rev Camb Philos Soc        ISSN: 0006-3231


  24 in total

1.  Disconnecting bones within the jaw-otic network modules underlies mammalian middle ear evolution.

Authors:  Aitor Navarro-Díaz; Borja Esteve-Altava; Diego Rasskin-Gutman
Journal:  J Anat       Date:  2019-04-12       Impact factor: 2.610

2.  Condition dependence of phenotypic integration and the evolvability of genitalic traits in a neriid fly.

Authors:  Zachariah Wylde; Russell Bonduriansky
Journal:  Biol Lett       Date:  2020-05-27       Impact factor: 3.703

3.  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 4.  Theories, laws, and models in evo-devo.

Authors:  Michael K Richardson
Journal:  J Exp Zool B Mol Dev Evol       Date:  2021-09-27       Impact factor: 2.368

5.  Primate modularity and evolution: first anatomical network analysis of primate head and neck musculoskeletal system.

Authors:  Vance Powell; Borja Esteve-Altava; Julia Molnar; Brian Villmoare; Alesha Pettit; Rui Diogo
Journal:  Sci Rep       Date:  2018-02-05       Impact factor: 4.379

6.  Musculoskeletal networks reveal topological disparity in mammalian neck evolution.

Authors:  Patrick Arnold; Borja Esteve-Altava; Martin S Fischer
Journal:  BMC Evol Biol       Date:  2017-12-13       Impact factor: 3.260

7.  Comparison of musculoskeletal networks of the primate forelimb.

Authors:  Julia Molnar; Borja Esteve-Altava; Campbell Rolian; Rui Diogo
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

8.  Network architecture associated with the highly specialized hindlimb of frogs.

Authors:  Daniel Andrés Dos Santos; Jéssica Fratani; María Laura Ponssa; Virginia Abdala
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

9.  Fluctuations in Evolutionary Integration Allow for Big Brains and Disparate Faces.

Authors:  Kory M Evans; Brandon T Waltz; Victor A Tagliacollo; Brian L Sidlauskas; James S Albert
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

10.  Quercus species divergence is driven by natural selection on evolutionarily less integrated traits.

Authors:  Jaroslav Klápště; Antoine Kremer; Kornel Burg; Pauline Garnier-Géré; Omnia Gamal El-Dien; Blaise Ratcliffe; Yousry A El-Kassaby; Ilga Porth
Journal:  Heredity (Edinb)       Date:  2020-10-27       Impact factor: 3.821

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