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3 - Phylogenetic trees

from Part I - Introduction

Published online by Cambridge University Press:  05 August 2011

Daniel H. Huson
Affiliation:
Eberhard-Karls-Universität Tübingen, Germany
Regula Rupp
Affiliation:
Eberhard-Karls-Universität Tübingen, Germany
Celine Scornavacca
Affiliation:
Eberhard-Karls-Universität Tübingen, Germany
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Summary

This chapter is provided for the sake of completeness and reference. It can be skipped by readers who have a basic knowledge of phylogenetic analysis.

Phylogenetic analysis aims at uncovering the evolutionary relationships between different species or taxa, to obtain an understanding of the evolution of life on Earth. Phylogenetic trees are widely used to address this task and are usually computed from molecular sequences. They also have applications in many other areas. For example, they are used to determine the age and rate of diversification of taxa, to understand the evolutionary history of gene families, in sequence-analysis methods to allow phylogenetic footprinting, in epidemiology to trace the origin and transmission of infectious diseases, or to study the co-evolution of hosts and parasites.

The main focus of this book is on phylogenetic networks. However, as phylogenetic trees generalize to phylogenetic networks and also to make the book reasonably self-contained, in this chapter we give a brief introduction to some of the main methods used to infer phylogenetic trees.

Overview

Figure 3.1 shows the relationships between some of the main concepts introduced in this chapter. The focus of this chapter is on how to compute unrooted phylogenetic trees. Usually, the process of phylogenetic inference is begun with a multiple sequence alignment. From this, one can pursue either a distance-based analysis, or a sequenced-based one.

In a distance-based analysis of DNA sequences, first the Hamming distances between pairs of sequences are computed. These distances are then exposed to a distance correction that is based on some appropriate model of evolution.

Type
Chapter
Information
Phylogenetic Networks
Concepts, Algorithms and Applications
, pp. 23 - 67
Publisher: Cambridge University Press
Print publication year: 2010

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  • Phylogenetic trees
  • Daniel H. Huson, Eberhard-Karls-Universität Tübingen, Germany, Regula Rupp, Eberhard-Karls-Universität Tübingen, Germany, Celine Scornavacca, Eberhard-Karls-Universität Tübingen, Germany
  • Book: Phylogenetic Networks
  • Online publication: 05 August 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511974076.005
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  • Phylogenetic trees
  • Daniel H. Huson, Eberhard-Karls-Universität Tübingen, Germany, Regula Rupp, Eberhard-Karls-Universität Tübingen, Germany, Celine Scornavacca, Eberhard-Karls-Universität Tübingen, Germany
  • Book: Phylogenetic Networks
  • Online publication: 05 August 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511974076.005
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Phylogenetic trees
  • Daniel H. Huson, Eberhard-Karls-Universität Tübingen, Germany, Regula Rupp, Eberhard-Karls-Universität Tübingen, Germany, Celine Scornavacca, Eberhard-Karls-Universität Tübingen, Germany
  • Book: Phylogenetic Networks
  • Online publication: 05 August 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511974076.005
Available formats
×