A high posterior probability of ΔQ exceeding zero was interpreted as evidence that observed positive correlations between characters were due to correlated transition rates and not simply due to shared ancestry.
In the present study, genetic correlations between characters at age 12 and ages 6, 7 and 8 years were generally modest for both sites (data not shown), further pointing to partially different sets of genes and polymorphisms involved.
It has long been known that correlations between characters can cause problems for phylogenetic analysis (see ref [ 12] for discussion), leading to overweighting [ 13, 14], less accurate tree topologies and tree lengths [ 15, 16], and exaggerating support values by inflating the apparent number of synapomorphies at particular nodes.
There's plenty such evidence, and, before half the people who read this blog go ballistic, it really shouldn't be considered offensive to point out the correlations between character types and political affiliation.
Correlations between character transitions were evaluated against 1000 bootstrap ML topologies to correct for phylogenetic bias.
We observed positive genetic correlations between character states of life history traits assayed at different temperatures.
Correlations between character pairs and test for normal distribution were computed at p <0.05 and p < 0.01 in Microsoft-Excel (2007).
Therefore, we mapped ecological and defensive traits on phylogenetic trees, and tested correlations between character pairs, with the aim to infer the relative impact of invertebrates versus vertebrates in the evolution of chemically-based defenses.
If answering this question would provide information concerning the underlying mechanisms controlling the traits, it would also provide information about whether an unfavourable genetic correlation between two characters can be broken (in the case of linkage) or whether this is impossible (in the case of pleiotropism).
This methodology implements a generalized least squares (GLS) model and likelihood ratio tests to resolve whether correlation between two characters is dependent on the underlying phylogeny [31], [32].
The linear regression analysis between chromosome numbers and genome size revealed a positive correlation between these characters, with a relatively high R value of 0.7229 (Fig. 3D); a Pearson correlation analysis confirmed this result (correlation coefficient of 0.85, P < 0.05).
