Monochromaticity in neutral evolutionary network models.
Recent studies on epistatic networks of model organisms have unveiled a certain type of modular property called monochromaticity in which the networks are clustered into functional modules that interact with each other through the same type of epistasis. Here, we propose and study three epistatic network models that are inspired by the duplication-divergence mechanism to gain insight into the evolutionary basis of monochromaticity and to test if it can be explained as the outcome of a neutral evolutionary hypothesis. We show that the epistatic networks formed by these stochastic evolutionary models have monochromaticity conflict distributions that are centered close to zero and are statistically significantly different from their randomized counterparts. In particular, the last model we propose yields a strictly monochromatic solution. Our results agree with the monochromaticity findings in real organisms and point toward the possible role of a neutral mechanism in the evolution of this phenomenon.
Department of Physics, Northeastern University, Boston, Massachusetts 02115, USA.
Arda
A
Halu
Ginestra
G
Bianconi
D000465:Algorithms; D001703:Biophysics / Q000379:methods*; D004194:Disease / Q000235:genetics; D004843:Epistasis, Genetic; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D016571:Neural Networks, Computer; D012441:Saccharomyces cerevisiae / Q000235:genetics*; D013269:Stochastic Processes; D049490:Systems Biology / Q000379:methods; D013997:Time Factors