2012
DOI: 10.1111/j.1420-9101.2012.02487.x
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Artificial selection on allometry: change in elevation but not slope

Abstract: To what extent within‐species (static) allometries constitute a constraint on evolution is the subject of a long‐standing debate in evolutionary biology. A prerequisite for the constraint hypothesis is that static allometries are hard to change. Several studies have attempted to test this hypothesis with artificial‐selection experiments, but their results remain inconclusive due to various methodological issues. Here, we present results from an experiment in which we selected independently on the slope and the… Show more

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Cited by 88 publications
(128 citation statements)
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References 68 publications
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“…Slope shifts are purportedly less common than grade shifts in evolutionary allometry (Egset et al., 2012) and difficult to maintain across generations even when induced through strong artificial selection (Bolstad et al., 2015; Stillwell et al., 2016). However, our analysis demonstrates that slope shifts do occur, even between closely related species, although not at a whole‐organ level.…”
Section: Discussionmentioning
confidence: 99%
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“…Slope shifts are purportedly less common than grade shifts in evolutionary allometry (Egset et al., 2012) and difficult to maintain across generations even when induced through strong artificial selection (Bolstad et al., 2015; Stillwell et al., 2016). However, our analysis demonstrates that slope shifts do occur, even between closely related species, although not at a whole‐organ level.…”
Section: Discussionmentioning
confidence: 99%
“…The measurement error in our data is likely to be small compared with the (unavoidable) amount of equation error (i.e., data points not lying exactly on the regression line). It has been noted that estimating allometric slopes is inaccurate when there is substantial equation error (Egset et al., 2012). Therefore, we have selected ordinary least square regression to analyze our data, rather than MA/SMA.…”
Section: Methodsmentioning
confidence: 99%
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“…[3]). For the guppy data, the various estimates of the repeatability (ratio between among-individual and total variance) for the body size measurement showed that this repeatability is high (between 0.98 and 0.99; Egset et al 2011Egset et al , 2012. Therefore, the downward bias of the static allometric slope due to measurement error should be on the order of 1%-2% (Hansen and Bartoszek 2012) and should not strongly affect differences between ontogenetic and static allometry as well as the changes in static allometry during ontogeny.…”
Section: Choice Of the Regression Model And Measurement Errormentioning
confidence: 99%