Literature DB >> 28563493

SOME MODELS FOR DEVELOPMENT, GROWTH, AND MORPHOMETRIC CORRELATION.

Bruce Riska1.   

Abstract

Genetic and phenotypic correlations between morphometric traits can be a direct consequence of shared developmental history and common systems of growth regulation. Correlation between traits, therefore, need not imply direct functional or adaptive constraints on those traits. Useful models of the developmental origins of correlations will consider mechanisms that can reduce initially high correlation of traits that arise from a single developmental precursor. Several models presented here predict such correlations for different modes of fission of a precursor. Timing of developmental events may also affect correlations and respond to selection on adult traits. The models may apply to development of the tetrapod limb bud, including variance and covariance induced by known developmental mutants. © 1986 The Society for the Study of Evolution.

Year:  1986        PMID: 28563493     DOI: 10.1111/j.1558-5646.1986.tb05753.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  10 in total

1.  Structural and Maturational Covariance in Early Childhood Brain Development.

Authors:  Xiujuan Geng; Gang Li; Zhaohua Lu; Wei Gao; Li Wang; Dinggang Shen; Hongtu Zhu; John H Gilmore
Journal:  Cereb Cortex       Date:  2017-03-01       Impact factor: 5.357

Review 2.  Speciation through the lens of biomechanics: locomotion, prey capture and reproductive isolation.

Authors:  Timothy E Higham; Sean M Rogers; R Brian Langerhans; Heather A Jamniczky; George V Lauder; William J Stewart; Christopher H Martin; David N Reznick
Journal:  Proc Biol Sci       Date:  2016-09-14       Impact factor: 5.349

3.  Ontogeny of the syndesmosis tibiofibularis and the evolution of the bird hindlimb: a caenogenetic feature triggers phenotypic novelty.

Authors:  G B Müller; J Streicher
Journal:  Anat Embryol (Berl)       Date:  1989

Review 4.  Structural brain development: A review of methodological approaches and best practices.

Authors:  Nandita Vijayakumar; Kathryn L Mills; Aaron Alexander-Bloch; Christian K Tamnes; Sarah Whittle
Journal:  Dev Cogn Neurosci       Date:  2017-11-22       Impact factor: 6.464

5.  Identification of flux trade-offs in metabolic networks.

Authors:  Seirana Hashemi; Zahra Razaghi-Moghadam; Zoran Nikoloski
Journal:  Sci Rep       Date:  2021-12-10       Impact factor: 4.379

6.  Relative flux trade-offs and optimization of metabolic network functionalities.

Authors:  Seirana Hashemi; Zahra Razaghi-Moghadam; Roosa A E Laitinen; Zoran Nikoloski
Journal:  Comput Struct Biotechnol J       Date:  2022-07-26       Impact factor: 6.155

7.  Genetic Correlation, Pleiotropy, and Molar Morphology in a Longitudinal Sample of Australian Twins and Families.

Authors:  Kathleen S Paul; Christopher M Stojanowski; Toby Hughes; Alan H Brook; Grant C Townsend
Journal:  Genes (Basel)       Date:  2022-06-02       Impact factor: 4.141

Review 8.  Imaging structural co-variance between human brain regions.

Authors:  Aaron Alexander-Bloch; Jay N Giedd; Ed Bullmore
Journal:  Nat Rev Neurosci       Date:  2013-03-27       Impact factor: 34.870

9.  A population model evaluating the consequences of the evolution of double-resistance and tradeoffs on the benefits of two-drug antibiotic treatments.

Authors:  Ellsworth M Campbell; Lin Chao
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

10.  Grey-matter network disintegration as predictor of cognitive and motor function with aging.

Authors:  Marisa Koini; Marco Duering; Benno G Gesierich; Serge A R B Rombouts; Stefan Ropele; Fabian Wagner; Christian Enzinger; Reinhold Schmidt
Journal:  Brain Struct Funct       Date:  2018-03-06       Impact factor: 3.270

  10 in total

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