TY - JOUR
T1 - Decoupling environment-dependent and independent genetic robustness across bacterial species
AU - Freilich, Shiri
AU - Kreimer, Anat
AU - Borenstein, Elhanan
AU - Gophna, Uri
AU - Sharan, Roded
AU - Ruppin, Eytan
PY - 2010/2
Y1 - 2010/2
N2 - The evolutionary origins of genetic robustness are still under debate: it may arise as a consequence of requirements imposed by varying environmental conditions, due to intrinsic factors such as metabolic requirements, or directly due to an adaptive selection in favor of genes that allow a species to endure genetic perturbations. Stratifying the individual effects of each origin requires one to study the pertaining evolutionary forces across many species under diverse conditions. Here we conduct the first large-scale computational study charting the level of robustness of metabolic networks of hundreds of bacterial species across many simulated growth environments. We provide evidence that variations among species in their level of robustness reflect ecological adaptations. We decouple metabolic robustness into two components and quantify the extents of each: the first, environmental-dependent, is responsible for at least 20% of the non-essential reactions and its extent is associated with the species' lifestyle (specialized/generalist); the second, environmental- independent, is associated (correlation = ∼0.6) with the intrinsic metabolic capacities of a species-higher robustness is observed in fast growers or in organisms with an extensive production of secondary metabolites. Finally, we identify reactions that are uniquely susceptible to perturbations in human pathogens, potentially serving as novel drug-targets.
AB - The evolutionary origins of genetic robustness are still under debate: it may arise as a consequence of requirements imposed by varying environmental conditions, due to intrinsic factors such as metabolic requirements, or directly due to an adaptive selection in favor of genes that allow a species to endure genetic perturbations. Stratifying the individual effects of each origin requires one to study the pertaining evolutionary forces across many species under diverse conditions. Here we conduct the first large-scale computational study charting the level of robustness of metabolic networks of hundreds of bacterial species across many simulated growth environments. We provide evidence that variations among species in their level of robustness reflect ecological adaptations. We decouple metabolic robustness into two components and quantify the extents of each: the first, environmental-dependent, is responsible for at least 20% of the non-essential reactions and its extent is associated with the species' lifestyle (specialized/generalist); the second, environmental- independent, is associated (correlation = ∼0.6) with the intrinsic metabolic capacities of a species-higher robustness is observed in fast growers or in organisms with an extensive production of secondary metabolites. Finally, we identify reactions that are uniquely susceptible to perturbations in human pathogens, potentially serving as novel drug-targets.
UR - http://www.scopus.com/inward/record.url?scp=77649227213&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1000690
DO - 10.1371/journal.pcbi.1000690
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 20195496
AN - SCOPUS:77649227213
SN - 1553-734X
VL - 6
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 2
M1 - e1000690
ER -