Cotton, J. A. (2005) Analytical methods for detecting paralogy in molecular datasets. In: Zimmer, E. A. and Roalson, E. H. (eds.) Molecular Evolution: Producing the Biochemical Data. Series: Methods in enzymology (395). Elsevier Academic Press: Amsterdam, pp. 700-724. ISBN 9780121828004 (doi: 10.1016/S0076-6879(05)95036-2)
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Abstract
Paralogy (common ancestry through gene duplication rather than speciation) is widely recognized as an important problem for molecular systematists. This chapter introduces the concepts of paralogy and orthology and explains why paralogy can complicate both systematic work and other studies of molecular evolution. The definition of paralogy is explicitly phylogenetic, and phylogenetic methods are crucial in elucidating the pattern of paralogy. In particular, knowledge of the species phylogeny is key. I introduce the theory behind methods for detecting paralogy and briefly discuss two particular software implementations of phylogenetic methods to detect paralogy from molecular data. I also introduce a statistical method for detecting paralogy and some future directions for work on paralogy detection.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Cotton, Professor James |
| Authors: | Cotton, J. A. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine |
| Publisher: | Elsevier Academic Press |
| ISBN: | 9780121828004 |
| Published Online: | 29 April 2005 |
| Related URLs: |
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