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Individual Cryptic Scaling Relationships and the Evolution of Animal Form

Artificial selection offers a powerful tool for the exploration of how selection and development shape the evolution of morphological scaling relationships. An emerging approach models the expression and evolution of morphological scaling relationships as a function of variation among individuals in...

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Autores principales: Frankino, W Anthony, Bakota, Eric, Dworkin, Ian, Wilkinson, Gerald S, Wolf, Jason B, Shingleton, Alexander W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863759/
https://www.ncbi.nlm.nih.gov/pubmed/31364716
http://dx.doi.org/10.1093/icb/icz135
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author Frankino, W Anthony
Bakota, Eric
Dworkin, Ian
Wilkinson, Gerald S
Wolf, Jason B
Shingleton, Alexander W
author_facet Frankino, W Anthony
Bakota, Eric
Dworkin, Ian
Wilkinson, Gerald S
Wolf, Jason B
Shingleton, Alexander W
author_sort Frankino, W Anthony
collection PubMed
description Artificial selection offers a powerful tool for the exploration of how selection and development shape the evolution of morphological scaling relationships. An emerging approach models the expression and evolution of morphological scaling relationships as a function of variation among individuals in the developmental mechanisms that regulate trait growth. These models posit the existence of genotype-specific morphological scaling relationships that are unseen or “cryptic.” Within-population allelic variation at growth-regulating loci determines how these individual cryptic scaling relationships are distributed, and exposure to environmental factors that affect growth determines the size phenotype expressed by each individual on their cryptic, genotype-specific scaling relationship. These models reveal that evolution of the intercept and slope of the population-level static allometry is determined, often in counterintuitive ways, largely by the shape of the distribution of these underlying individual-level scaling relationships. Here we review this modeling framework and present the wing-body size individual cryptic scaling relationships from a population of Drosophila melanogaster. To determine how these models might inform interpretation of published work on scaling relationship evolution, we review studies where artificial selection was applied to alter the parameters of population-level static allometries. Finally, motivated by our review, we outline areas in need of empirical work and describe a research program to address these topics; the approach includes describing the distribution of individual cryptic scaling relationships across populations and environments, empirical testing of the model’s predictions, and determining the effects of environmental heterogeneity on realized trait distributions and how this affects allometry evolution.
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spelling pubmed-68637592019-11-25 Individual Cryptic Scaling Relationships and the Evolution of Animal Form Frankino, W Anthony Bakota, Eric Dworkin, Ian Wilkinson, Gerald S Wolf, Jason B Shingleton, Alexander W Integr Comp Biol S11 Allometry, Scaling and Ontogeny of Form Artificial selection offers a powerful tool for the exploration of how selection and development shape the evolution of morphological scaling relationships. An emerging approach models the expression and evolution of morphological scaling relationships as a function of variation among individuals in the developmental mechanisms that regulate trait growth. These models posit the existence of genotype-specific morphological scaling relationships that are unseen or “cryptic.” Within-population allelic variation at growth-regulating loci determines how these individual cryptic scaling relationships are distributed, and exposure to environmental factors that affect growth determines the size phenotype expressed by each individual on their cryptic, genotype-specific scaling relationship. These models reveal that evolution of the intercept and slope of the population-level static allometry is determined, often in counterintuitive ways, largely by the shape of the distribution of these underlying individual-level scaling relationships. Here we review this modeling framework and present the wing-body size individual cryptic scaling relationships from a population of Drosophila melanogaster. To determine how these models might inform interpretation of published work on scaling relationship evolution, we review studies where artificial selection was applied to alter the parameters of population-level static allometries. Finally, motivated by our review, we outline areas in need of empirical work and describe a research program to address these topics; the approach includes describing the distribution of individual cryptic scaling relationships across populations and environments, empirical testing of the model’s predictions, and determining the effects of environmental heterogeneity on realized trait distributions and how this affects allometry evolution. Oxford University Press 2019-11 2019-07-31 /pmc/articles/PMC6863759/ /pubmed/31364716 http://dx.doi.org/10.1093/icb/icz135 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle S11 Allometry, Scaling and Ontogeny of Form
Frankino, W Anthony
Bakota, Eric
Dworkin, Ian
Wilkinson, Gerald S
Wolf, Jason B
Shingleton, Alexander W
Individual Cryptic Scaling Relationships and the Evolution of Animal Form
title Individual Cryptic Scaling Relationships and the Evolution of Animal Form
title_full Individual Cryptic Scaling Relationships and the Evolution of Animal Form
title_fullStr Individual Cryptic Scaling Relationships and the Evolution of Animal Form
title_full_unstemmed Individual Cryptic Scaling Relationships and the Evolution of Animal Form
title_short Individual Cryptic Scaling Relationships and the Evolution of Animal Form
title_sort individual cryptic scaling relationships and the evolution of animal form
topic S11 Allometry, Scaling and Ontogeny of Form
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863759/
https://www.ncbi.nlm.nih.gov/pubmed/31364716
http://dx.doi.org/10.1093/icb/icz135
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