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The Evolution of Modularity in the Mammalian Skull I: Morphological Integration Patterns and Magnitudes
TLDR
The data provide evidence that mammalian skull evolution can be viewed as a history of inter-module parcellation, with the modules themselves being more clearly marked in those lineages with lower overall magnitude of integration. Expand
The Evolution of Modularity in the Mammalian Skull II: Evolutionary Consequences
TLDR
Simulation of the evolutionary behavior of several mammalian orders in terms of their flexibility, evolvability and constraints in the skull found them to be quite variable among mammals, providing evidence that, despite the stasis in integration patterns, the plasticity in the magnitude of integration in the skulls had important consequences in termsof evolutionary flexibility of the mammalian lineages. Expand
SIZE VARIATION, GROWTH STRATEGIES, AND THE EVOLUTION OF MODULARITY IN THE MAMMALIAN SKULL
TLDR
It is demonstrated that a large portion of the evolution of modularity in the mammalian skull is associated to the evolutionof growth strategies, leading to high correlations among traits regardless of any underlying modular process and impacting directly their potential to respond to selection. Expand
How many more? Sample size determination in studies of morphological integration and evolvability.
TLDR
This work analyzes the relationship between sampling effort and inaccuracy in evolvability and integration statistics calculated from 10-trait matrices with varying patterns of covariation and magnitudes of integration and provides R functions that can be used to calculate recommended sample sizes or to estimate the level of inaccuracy that should be expected in these statistics, given a sampling design. Expand
Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology
For centuries, ecologists and evolutionary biologists have used images such as drawings, paintings and photographs to record and quantify the shapes and patterns of life. With the advent of digitalExpand
Modularity: genes, development and evolution.
TLDR
A review of modularity from an historical perspective, highlighting its meaning at different levels of biological organization and the different methods that can be used to detect it and investigating the dynamic relationship between modularity and the adaptive landscape. Expand
Covariance structure in the skull of Catarrhini: a case of pattern stasis and magnitude evolution.
TLDR
The data demonstrate that the P-matrices remained relatively similar along the evolutionary history of catarrhines, and comparisons with the G-matrix available for a New World monkey genus (Saguinus) suggests that the same holds for all anthropoids. Expand
Reliability of genomic predictions of complex human phenotypes
TLDR
Using the triglyceride data of the GAW20 data set, genomic-best linear unbiased prediction methods are applied to obtain empirical genetic values (EGVs) for each triglyceride phenotype and each individual to show that dense genome-wide data can be used in a wider scope than previously anticipated. Expand
ALPACA: a fast and accurate approach for automated landmarking of three-dimensional biological structures
Landmark-based geometric morphometrics has emerged as an essential discipline for the quantitative analysis of size and shape in ecology and evolution. With the ever-increasing density of digitizedExpand
Rate of evolutionary change in cranial morphology of the marsupial genus Monodelphis is constrained by the availability of additive genetic variation
TLDR
It is found that within‐species genetic variation is concentrated in only a few axes of the morphospace and that this strong genetic covariation influenced the rate of morphological diversification of the brevicaudata group, with between‐species divergence occurring fastest when occurring along the genetic line of least resistance. Expand
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