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Signal transduction networks can form highly interconnected systems withincells due to network crosstalk, the sharing of input signals between multipledownstream responses. To better understand the evolutionary design principlesunderlying such networks, we study the evolution of crosstalk and the emergenceof specificity for two parallel signaling pathways that arise via geneduplication and are subsequently allowed to diverge. We focus on a sequencebased evolutionary algorithm and evolve the network based on two physicallymotivated fitness functions related to information transmission. Surprisingly,we find that the two fitness functions lead to very different evolutionaryoutcomes, one with a high degree of crosstalk and the other without.

Modeling Evolution of Crosstalk in Noisy Signal Transduction Networks