Literature DB >> 31508891

Developmental bias, macroevolution, and the fossil record.

David Jablonski1.   

Abstract

A fuller understanding of the role of developmental bias in shaping large-scale evolutionary patterns requires integrating bias (the probability distribution of variation accessible to an ancestral phenotype) with clade dynamics (the differential survival and production of species and evolutionary lineages). This synthesis could proceed as a two-way exchange between the developmental data available to neontologists and the strictly phenotypic but richly historical and dynamic data available to paleontologists. Analyses starting in extant populations could aim to predict macroevolution in the fossil record from observed developmental bias, while analyses starting in the fossil record, particularly the record of extant species and lineages, could aim to predict developmental bias from macroevolutionary patterns, including the broad range of extinct phenotypes. Analyses in multivariate morphospaces are especially effective when coupled with phylogeny, theoretical and developmental models, and diversity-disparity plots. This research program will also require assessing the "heritability" of an ancestral bias across phylogeny, and the tendency for bias change in strength and orientation over evolutionary time. Such analyses will help find a set of general rules for the macroevolutionary effects of developmental bias, including its impact on and interactions with the other intrinsic and extrinsic factors governing the movement, expansion, and contraction of clades in morphospace.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  disparity; macroevolution; paleobiology

Mesh:

Year:  2019        PMID: 31508891     DOI: 10.1111/ede.12313

Source DB:  PubMed          Journal:  Evol Dev        ISSN: 1520-541X            Impact factor:   1.930


  6 in total

1.  A release from developmental bias accelerates morphological diversification in butterfly eyespots.

Authors:  Oskar Brattström; Kwaku Aduse-Poku; Erik van Bergen; Vernon French; Paul M Brakefield
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-22       Impact factor: 11.205

2.  Evolutionary modularity, integration and disparity in an accretionary skeleton: analysis of venerid Bivalvia.

Authors:  Stewart M Edie; Safia C Khouja; Katie S Collins; Nicholas M A Crouch; David Jablonski
Journal:  Proc Biol Sci       Date:  2022-01-19       Impact factor: 5.349

3.  A universal power law for modelling the growth and form of teeth, claws, horns, thorns, beaks, and shells.

Authors:  Alistair R Evans; Tahlia I Pollock; Silke G C Cleuren; William M G Parker; Hazel L Richards; Kathleen L S Garland; Erich M G Fitzgerald; Tim E Wilson; David P Hocking; Justin W Adams
Journal:  BMC Biol       Date:  2021-03-30       Impact factor: 7.431

4.  Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes.

Authors:  Kamaludin Dingle; Fatme Ghaddar; Petr Šulc; Ard A Louis
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

5.  A Grand Challenge in Development and Evodevo: Quantifying the Role of Development in Evolution.

Authors:  Aaron R Leichty; Neelima Roy Sinha
Journal:  Front Plant Sci       Date:  2022-01-11       Impact factor: 5.753

6.  Specimen alignment with limited point-based homology: 3D morphometrics of disparate bivalve shells (Mollusca: Bivalvia).

Authors:  Stewart M Edie; Katie S Collins; David Jablonski
Journal:  PeerJ       Date:  2022-06-24       Impact factor: 3.061

  6 in total

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