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Scripts and data sets associated with: On testing homogeneity of the evolutionary process using alignments of homologous sequences

Data files

Jun 02, 2022 version files 8.23 MB
Jun 02, 2022 version files 226.47 MB
May 06, 2024 version files 225.96 MB

Abstract

In 2019, Genome Biology and Evolution (11:3341-3352) published three statistical tests for assessing whether alignments of genome sequences violate the phylogenetic assumption of evolution under homogeneous conditions. The new tests extend the matched-pairs tests of symmetry, marginal symmetry, and internal symmetry for alignments of n = 2 homologous sequences of nucleotides or amino acids to cases where alignments of n > 2 sequences are considered. Here we discuss the limitations of these new tests and then outline alternative approaches, which permit formal testing of multiple hypotheses (i.e., by controlling either the family-wise error rate or the false discovery rate). We show that the other approaches provide much greater insight into variation of the evolutionary process across lineages, via informal graphical methods and formal statistical procedures. Using one of the procedures (i.e., the Bonferroni test), we show that evolution under heterogeneous conditions is more prevalent than reported in the paper cited above and that the power of the matched-pairs tests of homogeneity is linked to the number of variant sites in an alignment. We release a new version of Homo, a program that allows for formal testing of multiple hypotheses and calculation of adjusted P values. Using Homo, we analysed an alignment of amino acids encoded by 116 flavivirus genomes, and reveal that these viral genomes are unlikely to have evolved under homogeneous conditions. To our knowledge, this is the first time that this has been reported for medically important Flavivirus genomes.