deleterious mutation

Manna F, Gallet R, Martin G & Lenormand T 2012 The high-throughput yeast deletion fitness data and the theories of dominance. J Evol Biol 25:892-903.

  • the data on deletion of small effects are not sufficiently reliable to be informative on this question
  • deletions of large effect exhibit no correlation between homo- and heterozygous fitness effects, a pattern that sheds new light on the h-s correlation issue
  • the mean heterozygous fitness effect of lethal and nonlethal mutations has even been shown to be very similar in Drosophila (Simmons & Crow, 1977) and yeast (Szafraniec et al., 2003)
  • because the dominance of individual mutations is traditionally defined as a ratio, it has very poor mathematical and statistical properties
  • regression slopes were extremely variable among environments or between replicates
  • it ranges from negative (− 0.15 in YPG medium) to positive (+ 1.02 in YPL)
  • the slope of this regression is a measure of average dominance
  • these results impede any general conclusion to be drawn regarding dominance
  • they are also at odds with most previous findings regarding the dominance of mildly deleterious mutations (Manna et al., 2011 and references therein), which lies in the range 0.2–0.3
  • regression slopes of hetero- vs. homozygous effects are nearly zero within large-effect deletions
  • in contrast with the variable findings within small-effect deletions, this pattern is consistent across replicates and environments
  • within deletions of large effects, the heterozygous fitness effect is constant on average and does not increase when the homozygous effect increases
  • this pattern is very similar to the finding that lethal and nonlethal mutations have on average the same heterozygous effect
  • for mutations of large effect, it is certainly simpler to say that the average heterozygous effect of deletions is constant with increased homozygous effect than to assume a complex h-s relationship that exactly cancels out to lead to this simple pattern
  • most data form a dense correlated cloud that could be compatible with constant dominance, and the remaining deletions exhibit uncorrelated homozygous and heterozygous effects, a pattern qualitatively consistent with models presented in Manna et al. (2011)
  • an equally nice description is that there are two classes of mutations:
  • one with small effects and constant dominance
  • another with larger effects and constant heterozygous effect
  • the latter class would also include lethals that are known to exhibit similar heterozygous effects than the bulk of nonlethal mutations