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The implications of such a shift in selective pressure to the evolution of signalling systems of different modalities, however, remain largely unexplored.
Considering the ecology and evolution of signalling systems, it is reasonable to predict that the egg recognition pheromone may have another practical function, like cuticular waxes which provide egg recognition cues and protect eggs against desiccation in some ants [13], [14].
By comparing spider silk to other materials, we can infer the constraints on the evolution of signalling properties in terms of material structure.
Few studies have been initiated to understand how signalling pathways appeared and evolved beyond the Bilateria [ 4- 6] but the recent sequencing of the first sponge genome, Amphimedon queenslandica has opened new perspectives for studying the origin and evolution of signalling pathways in the Metazoa [ 31- 35].
Our results have implications for the evolution of signalling systems and predator prey interactions, and, combined with the strong influence that both body mass and metabolism have on a species' ecological niche, suggest that time perception may constitute an important and overlooked dimension of niche differentiation.
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Although attractor selection is not as efficient as signal transduction via a dedicated cascade, it is simple and robust, and may represent a primordial mechanism for adaptive responses that preceded the evolution of signaling cascades for the frequently encountered environmental changes.
We also speculate on the evolution of signaling peptides.
Functionality in a highly diverged compatible species has implications for our perspective of evolution of signaling networks in higher plants.
This will be of interest to biologists interested in the evolution of signaling networks in higher plants.
The presented scenario for the evolution of signaling pathways is in its essence similar to the one put forward for the evolution of metabolic pathways.
This characteristic amounts to convergent evolution of signaling among cancers, and it required us to use a hypothesis-driven set of approaches, combined with hypothesis-driven data mining.
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