Literature DB >> 19781596

On prokaryotic intelligence: strategies for sensing the environment.

Pedro C Marijuán1, Jorge Navarro, Raquel del Moral.   

Abstract

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. Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19781596     DOI: 10.1016/j.biosystems.2009.09.004

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  18 in total

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2.  Heritability lost; intelligence found. Intelligence is integral to the adaptation and survival of all organisms faced with changing environments.

Authors:  Ken Richardson
Journal:  EMBO Rep       Date:  2012-06-29       Impact factor: 8.807

3.  Glucose-dependent activation of Bacillus anthracis toxin gene expression and virulence requires the carbon catabolite protein CcpA.

Authors:  Christina Chiang; Cristina Bongiorni; Marta Perego
Journal:  J Bacteriol       Date:  2010-10-22       Impact factor: 3.490

4.  Towards the Response Threshold for p-Hydroxyacetophenone in the Denitrifying Bacterium "Aromatoleum aromaticum" EbN1.

Authors:  Jannes Vagts; Sabine Scheve; Mirjam Kant; Lars Wöhlbrand; Ralf Rabus
Journal:  Appl Environ Microbiol       Date:  2018-08-31       Impact factor: 4.792

Review 5.  Metabolic checkpoints in activated T cells.

Authors:  Ruoning Wang; Douglas R Green
Journal:  Nat Immunol       Date:  2012-09-18       Impact factor: 25.606

6.  Tuning site-specific dynamics to drive allosteric activation in a pneumococcal zinc uptake regulator.

Authors:  Daiana A Capdevila; Fidel Huerta; Katherine A Edmonds; My Tra Le; Hongwei Wu; David P Giedroc
Journal:  Elife       Date:  2018-10-17       Impact factor: 8.140

Review 7.  Metabolic regulation of cell growth and proliferation.

Authors:  Jiajun Zhu; Craig B Thompson
Journal:  Nat Rev Mol Cell Biol       Date:  2019-07       Impact factor: 94.444

8.  Ciliates learn to diagnose and correct classical error syndromes in mating strategies.

Authors:  Kevin B Clark
Journal:  Front Microbiol       Date:  2013-08-19       Impact factor: 5.640

9.  PhoB regulates the survival of Bacteroides fragilis in peritoneal abscesses.

Authors:  Shin Wakimoto; Haruyuki Nakayama-Imaohji; Minoru Ichimura; Hidetoshi Morita; Hideki Hirakawa; Tetsuya Hayashi; Koji Yasutomo; Tomomi Kuwahara
Journal:  PLoS One       Date:  2013-01-15       Impact factor: 3.240

10.  Biotic activity of Ca(2+)-modulating non-traditional antimicrobial and -viral agents.

Authors:  Kevin B Clark
Journal:  Front Microbiol       Date:  2013-12-12       Impact factor: 5.640

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