title: Effects of epistasis on phenotypic robustness in metabolic pathways.
abstract: It is an open question whether phenomena such as phenotypic robustness to mutation evolve as adaptations or are simply an inherent property of genetic systems. As a case study, we examine this question with regard to dominance in metabolic physiology. Traditionally the conclusion that has been derived from Metabolic Control Analysis has been that dominance is an inevitable property of multi-enzyme systems and hence does not require an evolutionary explanation. This view is based on a mathematical result commonly referred to as the flux summation theorem. However it is shown here that for mutations involving finite changes (of any magnitude) in enzyme concentration, the flux summation theorem can only hold in a very restricted set of conditions. Using both analytical and simulation results we show that for finite changes, the summation theorem is only valid in cases where the relationship between genotype and phenotype is linear and devoid of non-linearities in the form of epistasis. Such an absence of epistasis is unlikely in metabolic systems. As an example, we show that epistasis can arise in scenarios where we assume generic non-linearities such as those caused by enzyme saturation. In such cases dominance levels can be modified by mutations that affect saturation levels. The implication is that dominance is not a necessary property of metabolic systems and that it can be subject to evolutionary modification.
authors.affiliation: Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA. bagheri@santafe.edu
authors.forename: Homayoun
authors.initials: H
authors.lastname: Bagheri-Chaichian
authors.forename: Joachim
authors.initials: J
authors.lastname: Hermisson
authors.forename: Juozas R
authors.initials: JR
authors.lastname: Vaisnys
authors.forename: Günter P
authors.initials: GP
authors.lastname: Wagner
mesh_terms: D003198:Computer Simulation; D004843:Epistasis, Genetic; D019143:Evolution, Molecular; D005799:Genes, Dominant / Q000502:physiology; D016014:Linear Models; D008957:Models, Genetic; D009097:Multienzyme Complexes / Q000235:genetics* / Q000378:metabolism*; D009154:Mutation; D010641:Phenotype; D019655:Quantitative Trait, Heritable
chemical_list: D009097:Multienzyme Complexes