On prokaryotic intelligence: strategies for sensing the environment.
The adaptive relationship with the environment is a sine qua non condition for any intelligent system. Discussions on the nature of cellular intelligence, however, have not systematically pursued yet the question of whether there is a fundamental way of sensing the environment, which may characterize prokaryotic cells, or not. The molecular systems found in bacterial signaling are extremely diverse, ranging from very simple transcription regulators (single proteins comprising just two domains) to the multi-component, multi-pathway signaling cascades that regulate crucial stages of the cell cycle, such as sporulation, biofilm formation, dormancy, pathogenesis or flagellar biosynthesis. The combined complexity of the environment and of the cellular way of life is reflected as a whole in the aggregate of signaling elements: an interesting power-law relationship emerges in that regard. In a basic taxonomy of bacterial signaling systems, the first level of complexity corresponds to the simplest regulators, the "one-component systems" (OCSs), which are defined as proteins that contain known or predicted input and output domains but lack histidine kinase and receiver domains. They are evolutionary precursors of the "two-component systems" (TCSs), which include histidine protein-kinase receptors and an independent response regulator, and are considered as the central signaling paradigm within prokaryotic organisms. The addition of independent receptors begets further functional complexity: thus, "three-component systems" (ThCSs) should be applied to those two-component systems that incorporate an extra non-kinase receptor to activate the protein-kinase. Further, the combined information processing functions (cross-talk) and integrative dynamics that OCS, TCS and ThCS may achieve together in the prokaryotic cell have to be depicted, as well as the relationship of these informational functions with the life cycle organization and its checkpoints. Finally, the extent to which formal models would capture the ongoing relationship of the living cell with its medium has to be gauged, in the light of both the complexity of molecular recognition events and the impredicative nature of living systems.
Marijuán
Pedro C
PC
Grupo de Bioinformación y Biología de Sistemas, Instituto Aragonés de Ciencias de la Salud (I+CS), Zaragoza, Spain. pcmarijuan.iacs@aragon.es
Navarro
Jorge
J
del Moral
Raquel
R
D000222:Adaptation, Physiological / Q000235:genetics / Q000502:physiology*; D001419:Bacteria / Q000235:genetics / Q000254:growth & development* / Q000378:metabolism; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism / Q000502:physiology*; D017753:Ecosystem; D015964:Gene Expression Regulation, Bacterial; D008954:Models, Biological; D015398:Signal Transduction / Q000235:genetics / Q000502:physiology*
D001426:Bacterial Proteins