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Species Diagnostics Protocols pp 39–55Cite as

Statistical Analysis of Arbitrarily Primed PCR Patterns in Molecular Taxonomic Studies

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Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 50))

Abstract

Two techniques have been described that use the polymerase chain reaction (PCR) to amplify many arbitrary regions of a genome simultaneously. Regions amplified by these techniques are generally polymorphic among closely related species and are beginning to be used in molecular taxonomy. In this chapter I discuss the positive and negative aspects of using arbitrary regions for taxonomy and describe strategies to adopt in overcoming some of their major disadvantages. I discuss how to set up a dataset of arbitrarily primed polymorphisms (APP) and demonstrate how cluster analysis of this dataset can be used to test marker specificity. Once an APP dataset is established, cluster analysis provides a simple means to routinely identify field collected specimens.

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Author information

Authors and Affiliations

  1. Department of Microbiology, Colorado State University, Fort Collins, CO

    William C. Black IV

Authors
  1. William C. Black IV
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Editor information

Editors and Affiliations

  1. Department of Biology, University of York, UK

    Justin P. Clapp

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© 1996 Humana Press Inc.

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Black, W.C. (1996). Statistical Analysis of Arbitrarily Primed PCR Patterns in Molecular Taxonomic Studies. In: Clapp, J.P. (eds) Species Diagnostics Protocols. Methods in Molecular Biology™, vol 50. Humana Press. https://doi.org/10.1385/0-89603-323-6:39

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  • DOI: https://doi.org/10.1385/0-89603-323-6:39

  • Publisher Name: Humana Press

  • Print ISBN: 978-0-89603-323-8

  • Online ISBN: 978-1-59259-537-2

  • eBook Packages: Springer Protocols

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