Differential retention of metabolic genes following whole-genome duplication - Archive ouverte HAL Access content directly
Journal Articles Molecular Biology and Evolution Year : 2009

Differential retention of metabolic genes following whole-genome duplication

Jean-François Gout
  • Function : Author
Laurent Duret


Classical studies in Metabolic Control Theory have shown that metabolic fluxes usually exhibit little sensitivity to changes in individual enzyme activity, yet remain sensitive to global changes of all enzymes in a pathway. Therefore, little selective pressure is expected on the dosage or expression of individual metabolic genes, yet entire pathways should still be constrained. However, a direct estimate of this selective pressure had not been evaluated. Whole-genome duplications (WGDs) offer a good opportunity to address this question by analyzing the fates of metabolic genes during the massive gene losses that follow. Here, we take advantage of the successive rounds of WGD that occurred in the Paramecium lineage. We show that metabolic genes exhibit different gene retention patterns than nonmetabolic genes. Contrary to what was expected for individual genes, metabolic genes appeared more retained than other genes after the recent WGD, which was best explained by selection for gene expression operating on entire pathways. Metabolic genes also tend to be less retained when present at high copy number before WGD, contrary to other genes that show a positive correlation between gene retention and preduplication copy number. This is rationalized on the basis of the classical concave relationship relating metabolic fluxes with enzyme expression.

Dates and versions

hal-00428358 , version 1 (28-10-2009)
hal-00428358 , version 2 (08-10-2015)



Jean-François Gout, Laurent Duret, Daniel Kahn. Differential retention of metabolic genes following whole-genome duplication. Molecular Biology and Evolution, 2009, 26 (5), pp.1067-1072. ⟨10.1093/molbev/msp026⟩. ⟨hal-00428358v2⟩
81 View
0 Download



Gmail Facebook X LinkedIn More