2020
DOI: 10.1111/evo.13933
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Patterns of fluctuating asymmetry in the limbs of freshwater turtles: Are more functionally important limbs more symmetrical?

Abstract: Understanding how selective forces influence patterns of symmetry remains an active area of research in evolutionary biology. One hypothesis, which has received relatively little attention, suggests that the functional importance of morphological characters may influence patterns of symmetry. Specifically, it posits that for structures that display bilateral symmetry, those with greater functional importance should display lower levels of asymmetry. The aim of this study was to examine the patterns of fluctuat… Show more

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Cited by 7 publications
(14 citation statements)
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“…Asymmetry across multiple traits has shown decoupled patterns, reflecting functional differences and indicating independent developmental mechanisms controlling phenotypic symmetry across different structures of the body of bats ( Gummer and Brigham, 1995 ; Robaina et al, 2017 ), turtles ( Rivera and Neely, 2020 ), and birds ( Aparicio and Bonal, 2002 ). Our results of decoupled patterns of longitudinal and cross-sectional humeral FA point toward independent trajectories of bone elongation (endochondral ossification) and thickening (intramembranous ossification) while also suggesting that it could be applicable within single structures.…”
Section: Discussionmentioning
confidence: 99%
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“…Asymmetry across multiple traits has shown decoupled patterns, reflecting functional differences and indicating independent developmental mechanisms controlling phenotypic symmetry across different structures of the body of bats ( Gummer and Brigham, 1995 ; Robaina et al, 2017 ), turtles ( Rivera and Neely, 2020 ), and birds ( Aparicio and Bonal, 2002 ). Our results of decoupled patterns of longitudinal and cross-sectional humeral FA point toward independent trajectories of bone elongation (endochondral ossification) and thickening (intramembranous ossification) while also suggesting that it could be applicable within single structures.…”
Section: Discussionmentioning
confidence: 99%
“…The presence of FA and DA in longitudinal and cross-sectional asymmetry was statistically tested with full-factorial ANOVAs using side (left or right), individual, and duplicate as factors (FA ∼ side + individual + side/individual; see Table 2 ; Monteiro et al, 2019 ; Rivera and Neely, 2020 ). The side factor provides a statistical test for DA, whereas the side–individual interaction provides statistical tests for FA.…”
Section: Methodsmentioning
confidence: 99%
“…This dimensionless index of proportional difference, hereafter referred to as ‘individual measurement’, is the most common transformation used to correct for variation in trait size. To ensure that this transformation did in fact remove the size-dependence of FA data without inducing additional patterns, we conducted regression analyses for unscaled and scaled side-difference magnitudes against the average structure size [ 17 , 26 ].…”
Section: Methodsmentioning
confidence: 99%
“…To do this, it was important to maintain a high level of variability in our data, but also to set an upper threshold for extreme differences that might be indicative of developmental abnormalities. As such, for each of the 32 datasets (two sexes × two morphs × eight structures), we excluded individual measurements more than three times greater than the interquartile range below or above the first and third quartile, respectively (<Q 1 − 3.0 × IQR or >Q 3 + 3.0 × IQR; see Rivera and Neely [ 26 ]). Once outliers were removed, we tested for differences in size for each measured structure (i.e., the average of the left and right sides), using a two-way ANOVA (sex × morph).…”
Section: Methodsmentioning
confidence: 99%
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