Anticipatory Behavior Within Microbial Genetic Networks

@article{tagkopoulos08, abstract = {We question whether homeostasis alone adequately explains microbial responses to environmental stimuli, and explore the capacity of intra-cellular networks for predictive behavior in a fashion similar to metazoan nervous systems. We show that in silico biochemical networks, evolving randomly under precisely defined complex habitats, capture the dynamical, multi-dimensional structure of diverse environments by forming internal models that allow prediction of environmental change. We provide evidence for such anticipatory behavior by revealing striking correlations of Escherichia coli transcriptional responses to temperature and oxygen perturbations--precisely mirroring the co-variation of these parameters upon transitions between the outside world and the mammalian gastrointestinal-tract. We further show that these internal correlations reflect a true associative learning paradigm, since they show rapid de-coupling upon exposure to novel environments. 10.1126/science.1154456}, author = {Tagkopoulos, Ilias and Liu, Yir-Chung and Tavazoie, Saeed }, citeulike-article-id = {2773606}, doi = {http://dx.doi.org/10.1126/science.1154456}, journal = {Science}, keywords = {dynamics, metabolism, network}, month = {May}, pages = {1154456+}, posted-at = {2008-06-12 05:39:53}, priority = {2}, title = {Anticipatory Behavior Within Microbial Genetic Networks}, url = {http://dx.doi.org/10.1126/science.1154456}, year = {2008} }

TY - JOUR ID - tagkopoulos08 L3 - citeulike-article-id:2773606 N2 - We question whether homeostasis alone adequately explains microbial responses to environmental stimuli, and explore the capacity of intra-cellular networks for predictive behavior in a fashion similar to metazoan nervous systems. We show that in silico biochemical networks, evolving randomly under precisely defined complex habitats, capture the dynamical, multi-dimensional structure of diverse environments by forming internal models that allow prediction of environmental change. We provide evidence for such anticipatory behavior by revealing striking correlations of Escherichia coli transcriptional responses to temperature and oxygen perturbations--precisely mirroring the co-variation of these parameters upon transitions between the outside world and the mammalian gastrointestinal-tract. We further show that these internal correlations reflect a true associative learning paradigm, since they show rapid de-coupling upon exposure to novel environments. 10.1126/science.1154456 JF - Science TI - Anticipatory Behavior Within Microbial Genetic Networks SP - 1154456 KW - dynamics KW - metabolism KW - network AU - Tagkopoulos, Ilias AU - Liu, Yir-Chung AU - Tavazoie, Saeed PY - 2008/05/08/ UR - http://dx.doi.org/10.1126/science.1154456 ER -