Multidimensional (shape) data + plausible models= not reliable estimates of phylogeny

Estimating Phylogenies from Shape and Similar Multidimensional Data: Why It Is Not Reliable.

Ceferino Varón-González, Simon Whelan, Peter Klingenberg Systematic Biology, syaa003, https://doi.org/10.1093/sysbio/syaa003 

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El resumen en linea este articulo termina asi:

Overall, the simulations suggest that multidimensional data, under evolutionary models that are plausible for biological data, do not produce reliable estimates of phylogeny.

Cual parte creen contribuye más a que la filogenia no sea confiable?  .... factors that are important for answering it ...

• Los datos? .... multidimensional data such as geometric morphometric data

• Los modelos? .... Under an evolutionary model of isotropic Brownian motion, phylogeny can be estimated reliably if dimensionality is high, even with relatively unfavorable combinations of branch lengths. By contrast, if there is phenotypic integration such that most variation is concentrated in one or a few dimensions, the reliability of phylogenetic estimates is severely reduced. Evolutionary models with stabilizing selection also produce highly unreliable estimates, which are little better than picking a phylogenetic tree at random.

• Los métodos de inferencia? ....  In a comparison of methods, squared-change parsimony performed similarly well as maximum likelihood, and both methods outperformed Wagner and Euclidean parsimony, neighbor-joining and UPGMA.

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