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Basic Applied Bioinformatics
book

Basic Applied Bioinformatics

by Chandra Sekhar Mukhopadhyay, Ratan Kumar Choudhary, Mir Asif Iquebal
November 2017
Intermediate to advanced
472 pages
11h 21m
English
Wiley-Blackwell
Content preview from Basic Applied Bioinformatics

Appendix F: Evolutionary Models of Molecular Phylogeny

CS Mukhopadhyay and RK Choudhary

School of Animal Biotechnology, GADVASU, Ludhiana

INTRODUCTION

Studies of molecular evolution and construction of phylogenetic trees are based on mathematical models that underpin the process of nucleotide substitution causing the process of speciation. A number of models have been hypothesized, based on certain assumptions of evolution. Some of the important models are described in this chapter.

Jukes–Cantor Model (1969) or JC69

This is the simplest DNA substitution model, which assumes equal base frequencies and a constant rate of evolution with a base substitution rate (Figure F1) of “α”. The transition (Purine to Purine and Pyrimidine to Pyrimidine) frequency is assumed to be same as the transversion (Purine to Pyrimidine and vice versa) frequency; hence, the model has a single parameter “α”. A substitution matrix (Figure F2) is generated for all possible base substitutions, assuming a fixed rate of changeover.

Schematic of substitution of nucleotides leading to transition and transversion, depicting 4 circles labeled T, G, C, and A, connected by double arrows and with 2 dashed arrows intersecting at the middle.

FIGURE F1 Substitution of nucleotides leading to transition and transversion.

Schematic of Jukes-Cantor one-parameter substitution model, depicting circles labeled T, G, C, and A, connected by dotted arrows (transition) and solid arrows (transversion).

FIGURE F2 Jukes–Cantor one‐parameter substitution model

(Jukes and Cantor, 1969).

The substitution matrix is generated from a constant rate of base substitution per unit time, based on the JC69 ...

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