Molecular Biology and Evolution, Vol 2, 539-556, Copyright © 1985 by Society for Molecular Biology and Evolution
JC Stephens
Simple but exact statistical tests for detecting a cluster of associated
nucleotide changes in DNA are presented. The tests are based on the linear
distribution of a set of s sites among a total of n sites, where the s
sites may be the variable sites, sites of insertion/deletion, or
categorized in some other way. These tests are especially useful for
detecting gene conversion and intragenic recombination in a sample of DNA
sequences. In this case, the sites of interest are those that correspond to
particular ways of splitting the sequences into two groups (e.g., sequences
A and D vs. sequences B, C, and E-J). Each such split is termed a
phylogenetic partition. Application of these methods to a well-documented
case of gene conversion in human gamma-globin genes shows that sites
corresponding to two of the three observed partitions are significantly
clustered, whereas application to hominoid mitochondrial DNA
sequences--among which no recombination is expected to occur--shows no
evidence of such clustering. This indicates that clustering of
partition-specific sites is largely due to intragenic recombination or gene
conversion. Alternative hypotheses explaining the observed clustering of
sites, such as biased selection or mutation, are discussed.
ORIGINAL ARTICLE
Statistical methods of DNA sequence analysis: detection of intragenic recombination or gene conversion
Center for Demographic and Population Genetics, University of Texas, Houston 77225.
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