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PMID: 16492684 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Matched-pairs tests of homogeneity with applications to homologous nucleotide sequences.

Bioinformatics (Oxford, England) ·Vol. 22 ·No. 10 ·2006-05-15 ·Pages 1225-31

Ababneh F, Jermiin LS, Ma C, Robinson J

Abstract

Most phylogenetic methods assume that the sequences of nucleotides or amino acids have evolved under stationary, reversible and homogeneous conditions. When these assumptions are violated by the data, there is an increased probability of errors in the phylogenetic estimates. Methods to examine aligned sequences for these violations are available, but they are rarely used, possibly because they are not widely known or because they are poorly understood. We describe and compare the available tests for symmetry of k-dimensional contingency tables from homologous sequences, and develop two new tests to evaluate different aspects of the evolutionary processes. For any pair of sequences, we consider a partition of the test for symmetry into a test for marginal symmetry and a test for internal symmetry. The proposed tests can be used to identify appropriate models for estimation of evolutionary relationships under a Markovian model. Simulations under more or less complex evolutionary conditions were done to display the performance of the tests. Finally, the tests were applied to an alignment of small-subunit ribosomal RNA sequences of five species of bacteria to outline the evolutionary processes under which they evolved. Programs written in R to do the tests on nucleotides are available from http://www.maths.usyd.edu.au/u/johnr/testsym/

MeSH Terms
Base Pair Mismatch/genetics Base Pairing/genetics Base Sequence Conserved Sequence Molecular Sequence Data Nucleotides/chemistry Sequence Alignment/methods Sequence Analysis, DNA/methods Sequence Homology, Nucleic Acid
Chemicals
Nucleotides
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Ababneh Faisal
School of Mathematics and Statistics, University of Sydney NSW 2006, Australia.
Jermiin Lars S
Ma Chunsheng
Robinson John
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2006-05-15
Epub
2006-00-21
Pages
1225-31
Language
English
Region
England
NLM ID
9808944
Subset
IM
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