2018-04-26T10:56:57Z
2018-04-26T10:56:57Z
2018-01-30
2018-04-26T10:56:57Z
The most frequent form of pairwise synthetic lethality (SL) in metabolic networks is known as plasticity synthetic lethality. It occurs when the simultaneous inhibition of paired functional and silent metabolic reactions or genes is lethal, while the default of the functional partner is backed up by the activation of the silent one. Using computational techniques on bacterial genome-scale metabolic reconstructions, we found that the failure of the functional partner triggers a critical reorganization of fluxes to ensure viability in the mutant which not only affects the SL pair but a significant fraction of other interconnected reactions, forming what we call a SL cluster. Interestingly, SL clusters show a strong entanglement both in terms of reactions and genes. This strong overlap mitigates the acquired vulnerabilities and increased structural and functional costs that pay for the robustness provided by essential plasticity. Finally, the participation of coessential reactions and genes in different SL clusters is very heterogeneous and those at the intersection of many SL clusters could serve as supertargets for more efficient drug action in the treatment of complex diseases and to elucidate improved strategies directed to reduce undesired resistance to chemicals in pathogens.
Article
Published version
English
Gens; Metabolisme; Biologia computacional; Genes; Metabolism; Computational biology
Public Library of Science (PLoS)
Reproducció del document publicat a: https://doi.org/10.1371/journal.pcbi.1005949
PLoS Computational Biology, 2018, vol. 14, num. 1, p. e1005949
https://doi.org/10.1371/journal.pcbi.1005949
cc-by (c) Massucci, Francesco Alessandro et al., 2018
http://creativecommons.org/licenses/by/3.0/es