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. 2017 Apr 12;136(9):1059–1078. doi: 10.1007/s00439-017-1798-3

Table 2.

Overview of computational studies on the evolutionary impact of exonic splice regulatory information

References Motif density d S/d 4 decrease in motifs Over-all d S/d 4 decrease Motifs Control
Parmley et al. (2006) ~30.42% ~8.19% (including CpG sites)/11.03% (excluding CpG sites) (alignment to mouse) ~2.49% (including CpG sites)/3.36% (excluding CpG sites) 238 RESCUE-ESE ESE hexamers (Fairbrother et al. 2002) Non-ESE sites
Cáceres and Hurst (2013) 13.1–32.7% (exon ends only) 8.5–17.1% (exon ends only, alignment to mouse) 1.2–4% (extrapolated from exon ends to the full sequence) Various sets of putative ESEs, formed by taking intersections of pre-existing sets Either all non-ESE sites near exon ends or sites overlapping with nucleotide-matched control motifs
Savisaar and Hurst (2017) ~57.3% ~4.1% (alignment to macaque) ~2.4% 1483 motifs experimentally determined to be recognized by human RBPs Sites that overlap dinucleotide-matched control motifs

For Cáceres and Hurst (2013), the figures are presented as a range, as they depend on the set of motifs and the method of control used. Note that some studies considered d S (rate of evolution at synonymous sites) while others considered d 4 (rate of evolution at fourfold degenerate sites). Parmley et al. (2006) also provided a second estimate for the over-all decrease in d S (~8%), however, only the lower estimate is reproduced here because of concerns that the reasoning used to derive the higher value may have been circular

ESE exonic splice enhancer, RBP RNA-binding protein