DOI: 10.5061/dryad.f8320d5
title: Data from: Individual cryptic scaling relationships and the evolution of animal form

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.
description: Analysis of DGRP Data R
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 analysis of the DGRP data, as described in Frankino et al
 2019Analysis of DGRP
 Data.RmdDRGP Wing-Pupal
 MeasurementsDGRP data of the wing
 and pupal size of males and females from 87 isogenic lineages, each reared
 across a nutritional gradientdata_all.csvAnalysis of DGRP Data PDFPDF generated by the R Markdown script analyzing the DGRP dataAnalysis of DGRP Data.pdfAnalysis of Frankino 2005 Data R MarkdownR Markdown script of the analysis of the Frankino 2005 data, as described in Frankino et al 2019.Analysis of Frankino 2005 Data.RmdFrankino_2005_DataData from Frankino 2005Analysis of Frankino 2005 Data PDFPDF generated by the R Markdown script analyzing the Frankino 2005 dataAnalysis of Frankino 2005 Data.pdfAnalysis of Wilkinson 1993 Data R MarkdownR Markdown script of the analysis of the Wilkinson 1993 data, as described in Frankino et al 2019.Analysis of Wilkinson 1993 Data.RmdWilkinson 1993 DataWilkinson 1993 dataWilkinson_1993_Data.csvAnalysis of Wilkinson 1993 Data PDFPDF generated by the R Markdown script analyzing the Wilkinson 1993 dataAnalysis of Wilkinson 1993 Data.pdf