INVESTIGADORES
GOLOBOFF pablo Augusto
artículos
Título:
Delayed-response phylogenetic correlation, an optimization-based method to test covariation of continuous characters
Autor/es:
GIANNINI, NORBERTO; GOLOBOFF, PABLO
Revista:
EVOLUTION
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: Londres; Año: 2010 vol. 64 p. 1885 - 1898
ISSN:
0014-3820
Resumen:
A new phylogenetic comparative method is proposed, based on mapping two continuous characters on a tree to generate data pairsfor regression or correlation analysis, which resolves problems of multiple character reconstructions, phylogenetic dependence, andasynchronous responses (evolutionary lags). Data pairs are formed in two ways (tree-down and tree-up) by matching correspondingchanges,  delta-x and delta-y. Delayed responses (delta-y occurring later in the tree than delta-x) are penalized by weighting pairs using nodal or branch-length distance between delta-x and delta-y; immediate (same-node) responses are given maximum weight. All combinations of character reconstructions (or a random sample thereof) are used to find the observed range of the weighted coefficient of correlation r (or weighted slope b). This range is used as test statistic, and the null distribution is generated by randomly reallocating changes (delta-x and delta-y) in the topology. Unlike randomization of terminal values, this procedure complies with Generalized Monte Carlo requirements while saving considerable computation time. Phylogenetic dependence is avoided by randomization with out data transformations, yielding acceptable type-I error rates and statistical power. We show that ignoring delayed responses can lead to falsely nonsignificant results. Issues that arise from considering delayed responses based on optimization are discussed.