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Variance to mean ratio, R(t), for poisson processes on phylogenetic trees
1Laboratory of Mathematical Biology, National Institute for Medical Research, London, United Kingdom.
Molecular Phylogenetics and Evolution
|September 1, 1994
Summary
The ratio of variance to mean (R(t)) assesses molecular clock adherence. New simulations reveal common R(t) estimators are inaccurate, suggesting lineage effects, not neutral theory deviations, explain high R(t) values.
Area of Science:
- Molecular Evolution
- Population Genetics
- Bioinformatics
Background:
- The ratio of variance to mean (R(t)) is used to test the neutral theory of molecular evolution and the molecular clock hypothesis.
- Previous studies reported R(t) values exceeding 1, questioning the neutral theory.
- Existing estimators of R(t) assume specific distributions and means.
Purpose of the Study:
- To investigate the accuracy of proposed R(t) estimators.
- To re-evaluate R(t) values in light of accurate statistical distributions.
- To differentiate between lineage effects and violations of the neutral theory.
Main Methods:
- Monte Carlo simulations were used to determine the true means and distributions of R(t) estimators.
- Analysis was performed on both star and general phylogenetic trees.
- Well-known gene sequences were reanalyzed using corrected statistical methods.
Main Results:
- Previously suggested means and distributions for R(t) estimators were found to be highly inaccurate.
- Kimura's estimators are unsatisfactory for statistical testing of R(t) in star phylogenies.
- Bulmer's correction factor was confirmed as accurate for star phylogenies.
- For nonstar phylogenies, R(t) values, though >1, fell within confidence limits under Poisson process models.
Conclusions:
- R(t) estimators require accurate statistical distributions for valid testing.
- Lineage effects, not necessarily neutral theory violations, can explain high R(t) values.
- Distinguishing lineage effects from molecular clock deviations is crucial for understanding molecular evolution.