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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
Published on: February 3, 2013
The estimation of genetic divergence
Journal of Molecular Evolution
|January 1, 1981
Summary
Computer simulations confirm the correctness of the Rate of Evolution of Homology (REH) method. Analysis including mRNAs and proteins reveals Nei and Tateno
Area of Science:
- Evolutionary biology
- Molecular evolution
- Bioinformatics
Background:
- The Rate of Evolution of Homology (REH) theory provides a framework for understanding molecular evolution.
- Criticism of the REH theory by Nei and Tateno (1978) based on computer simulations requires independent verification.
- Previous analyses primarily focused on protein data, potentially overlooking crucial information from nucleic acid sequences.
Purpose of the Study:
- To independently validate the REH theory by replicating and extending Nei and Tateno's computer simulations.
- To assess the impact of including messenger RNA (mRNA) data alongside protein data in evolutionary analyses.
- To resolve discrepancies and paradoxes related to evolutionary rates and functional constraints in proteins.
Main Methods:
- Independent replication of computer simulations used by Nei and Tateno.
- Extension of simulations to incorporate both protein and mRNA sequence data.
- Calculation and comparison of fixation intensity (mu 2) and genetic divergence (X2) metrics under different assumptions.
Main Results:
- Simulation data confirm the accuracy of the REH method.
- High fixation intensity values reported by Nei and Tateno were attributed to selective reporting and exclusion of third-codon-position information.
- REH values calculated from mRNA data are lower than those from protein data, indicating underestimation of total fixed mutations when third-codon-position information is missing.
Conclusions:
- The REH method is validated, and the criticisms by Nei and Tateno are addressed.
- Incorporating mRNA data provides a more accurate estimation of evolutionary parameters.
- The REH theory successfully resolves existing paradoxes concerning protein evolution and functional site dynamics.
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