Literature DB >> 8754219

Recognizing the forest for the trees: testing temporal patterns of cladogenesis using a null model of stochastic diversification.

K Wollenberg1, J Arnold, J C Avise.   

Abstract

Computer simulations are developed and employed to examine the expected temporal distributions of nodes under a null model of stochastic lineage bifurcation and extinction. These Markovian models of phylogenetic process were constructed so as to permit direct comparisons against empirical phylogenetic trees generated from molecular or other information available solely from extant species. For replicate simulated phylads with n extant species, cumulative distribution functions (cdf's) of branching times were calculated, and compared (using the Kolmogorov-Smirnov test statistic D) to those from three published empirical trees. Molecular phylogenies for columbine plants and avian cranes showed statistically significant departures from the null expectations, in directions indicating recent and ancient species' radiations, respectively, whereas a molecular phylogeny for the Drosophila virilis species group showed no apparent historical clustering of branching events. Effects of outgroup choice and phylogenetic frame of reference were investigated for the columbines and found to have a predictable influence on the types of conclusions to be drawn from such analyses. To enable other investigators to statistically test for nonrandomness in temporal cladogenetic pattern in empirical trees generated from data on extant species, we present tables of mean cdf's and associated probabilities under the null model for expected branching times in phylads of varying size. The approaches developed in this report complement and extend those of other recent methods for employing null models to assess the statistical significance of pattern in evolutionary trees.

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Year:  1996        PMID: 8754219     DOI: 10.1093/oxfordjournals.molbev.a025644

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  4 in total

1.  Testing macro-evolutionary models using incomplete molecular phylogenies.

Authors:  O G Pybus; P H Harvey
Journal:  Proc Biol Sci       Date:  2000-11-22       Impact factor: 5.349

2.  A null model for microbial diversification.

Authors:  Timothy J Straub; Olga Zhaxybayeva
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-19       Impact factor: 11.205

3.  On the origin of influenza A hemagglutinin.

Authors:  Derek Gatherer
Journal:  Indian J Microbiol       Date:  2010-01-07       Impact factor: 2.461

4.  Molecular phylogeny of the Drosophila obscura species group, with emphasis on the Old World species.

Authors:  Jian-jun Gao; Hide-aki Watabe; Tadashi Aotsuka; Jun-feng Pang; Ya-ping Zhang
Journal:  BMC Evol Biol       Date:  2007-06-07       Impact factor: 3.260

  4 in total

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