Statistical tests for detecting gene conversion |
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Authors: | Sawyer S |
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Institution: | Department of Mathematics, Washington University, and Department of Genetics, Washington University Medical School. |
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Abstract: | Statistical tests for detecting gene conversion are described for a sample
of homologous DNA sequences. The tests are based on imbalances in the
distribution of segments on which some pair of sequences agrees. The
methods automatically control for variable mutation rates along the genome
and do not depend on a priori choices of potentially monophyletic subsets
of the sample. The tests show strong evidence for multiple intragenic
conversion events at two loci in Escherichia coli. The gnd locus in E. coli
shows a highly significant excess of maximal segments of length 70-200 bp,
which suggests conversion events of that size. The data also indicate that
the rate of these short conversion events might be of the order of neutral
mutation rate. There is also evidence for correlated mutation in adjacent
codon positions. The same tests applied to a locus in an RNA virus were
negative.
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