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To ascertain the degree of global morphological variance, we performed principal components analysis (PCA), a statistical procedure that uses an orthogonal transformation.
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We compared the amount of morphological variance in these groups, the amount of phenotypic changes related to the different factors and the direction of morphological change in a morphometric space.
We calculated pairwise estimates of PST, or the proportion of the total morphological variance attributable to differences between populations, following Leinonen et al. (2006) and Phillimore et al. (2008) using multivariate analysis of variance (MANOVA) to estimate variance components in pairwise comparisons.
Based on these results, we concluded that the set of the gene deletion strains had a higher morphological variance than the natural strains.
This size and morphological variance arises from either variations in growth rates or differences in the relative times of onset of sexual maturity; in other words, it arises from heterochrony (see, for example, the work by Denoël et al. (2009) on European newts).
The gene deletion strains had higher morphological variance than the natural strains.
In this study, we quantified shape variation using geometric morphometric measures, which were important in distilling the quantitative genetic contribution of morphological variance.
High-dimensional morphometric features of Saccharomyces cerevisiae were examined to find that the gene deletion strains had higher morphological variance than the natural strains.
The first two axes of the CVA accounted for 77% (CV I = 56.7%, CV II = 20.3%) of the total morphological variance.
Percent of genital morphological variance explained by the first 5 principal components (PCs) in intraspecific and global (Dorosphila buzzattii + D. Koepferace + hybrids) analyses.
Thus, our analyses confirmed that the mosaic strains contained a higher morphological variance than that of the parental strains and validated our procedure.
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