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Related Experiment Videos

Phylogenetic autocorrelation under distinct evolutionary processes.

J A Diniz-Filho1

  • 1Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brasil. diniz@icb1.ufg.br

Evolution; International Journal of Organic Evolution
|July 28, 2001
PubMed
Summary

Phylogenetic correlograms reveal distinct microevolutionary processes by describing the relationship between interspecific covariance and time. These correlograms offer a diagnostic tool for evolutionary modeling.

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Area of Science:

  • Evolutionary Biology
  • Phylogenetics
  • Quantitative Genetics

Background:

  • Understanding microevolutionary processes is crucial for reconstructing evolutionary history.
  • The relationship between interspecific covariance (V(B)) and time since divergence (t) is key to studying correlated evolution.
  • Phylogenetic correlograms offer a potential method to empirically describe this V(B)/t relationship.

Purpose of the Study:

  • To demonstrate how phylogenetic correlograms can track distinct microevolutionary processes.
  • To use correlograms as empirical descriptors of the V(B)/t relationship.
  • To evaluate the utility of correlograms in distinguishing between gradual and speciational evolutionary modes.

Main Methods:

  • Simulated phylogenetic data under Ornstein-Uhlenbeck (O-U) process with varying stabilizing selection.

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  • Constructed phylogenetic correlograms using Moran's I coefficients at five time slices.
  • Applied analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA) to compare correlogram profiles.

    • Main Results:

    • Phylogenetic correlograms significantly differ based on evolutionary models and selection strengths.
    • Linear models fit correlograms under Brownian motion or weak O-U stabilizing selection.
    • Exponential models better describe correlograms under strong O-U stabilizing selection, particularly for gradual change modes.

    Conclusions:

    • Phylogenetic correlograms serve as a diagnostic tool for inferring microevolutionary processes.
    • Correlograms can characterize the V(B)/t relationship prior to applying methods assuming linearity.
    • This approach enhances the analysis of correlated evolution by providing empirical descriptors of the covariance-time relationship.