Computational aspects of host-parasite phylogenies

Computational aspects of host-parasite phylogenies form part of a set of general associations between areas and organisms, hosts and parasites, and species and genes. The problem is not new and the commonalities of exploring vicariance biogeography (organisms tracking areas) and host-parasite co-spe...

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Veröffentlicht in:Briefings in bioinformatics Jg. 5; H. 4; S. 339 - 349
1. Verfasser: Stevens, J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Oxford University Press 01.12.2004
Oxford Publishing Limited (England)
Schlagworte:
Action of physical and chemical agents
Algorithms
Analysis
Animals
Biogeography
Biological and medical sciences
Biological Evolution
Computer Simulation
Evolutionary biology
Fundamental and applied biological sciences. Psychology
Host-Parasite Interactions - physiology
Humans
Microbiology
Models, Biological
Mycological methods and techniques used in mycology
Mycology
Parasites
Phylogeny
Population Dynamics
Software
Speciation
Virology
Host parasite relation
Review
Method
Parasitosis
Phylogeny
co- speciation
TreeMap
host-parasite
tracking
co-evolution
Infection
Brook's parsimony analysis
Gene
Evolution
Models
Speciation
ISSN:1467-5463, 1477-4054
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Computational aspects of host-parasite phylogenies form part of a set of general associations between areas and organisms, hosts and parasites, and species and genes. The problem is not new and the commonalities of exploring vicariance biogeography (organisms tracking areas) and host-parasite co-speciation (parasites tracking hosts) have been recognised for some time. Methods for comparing host-parasite phylogenies are now well established and fall within two basic categories defined in terms of the way the data are interpreted in relation to the comparison of host-parasite phylogenies, so-called a posteriori, eg Brooks' Parsimony Analysis (BPA), or a priori, eg reconciled trees and other model-based methods, as implemented in the program TreeMap; the relative merits of the two philosophies inherent in these two approaches remain hotly debated. This paper reviews the computational methods currently available to analyse host-parasite relationships.
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ISSN:1467-5463
1477-4054
DOI:10.1093/bib/5.4.339