Literature DB >> 33527897

Emergence and propagation of epistasis in metabolic networks.

Sergey Kryazhimskiy1.   

Abstract

Epistasis is often used to probe functional relationships between genes, and it plays an important role in evolution. However, we lack theory to understand how functional relationships at the molecular level translate into epistasis at the level of whole-organism phenotypes, such as fitness. Here, I derive two rules for how epistasis between mutations with small effects propagates from lower- to higher-level phenotypes in a hierarchical metabolic network with first-order kinetics and how such epistasis depends on topology. Most importantly, weak epistasis at a lower level may be distorted as it propagates to higher levels. Computational analyses show that epistasis in more realistic models likely follows similar, albeit more complex, patterns. These results suggest that pairwise inter-gene epistasis should be common, and it should generically depend on the genetic background and environment. Furthermore, the epistasis coefficients measured for high-level phenotypes may not be sufficient to fully infer the underlying functional relationships.
© 2021, Kryazhimskiy.

Entities:  

Keywords:  computational biology; genetic interactions; glycolysis; metabolic control analysis; none; systems biology

Mesh:

Year:  2021        PMID: 33527897      PMCID: PMC7924954          DOI: 10.7554/eLife.60200

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  126 in total

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