Bacterial Physiology
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Zakład Morfologii Zwierzat, Wydział Biologii, Uniwersytet im. Adama Mickiewicza, Poznań. franciszek.kornobis@amu.edu.pl
The aim of the article is to present trophic types (i.e non-systematic groups feeding on the same kind of food) of the nematodes. Seven trophic types (covering all known species) are described:(1) microbivores (nematodes feeding on unicellular microorganisms) with two examples: C. elegans and the nematodes of two families: Steinernematidae and Heterorhabditidae,(2) parasites of Vertebrates,(3) parasites of Invertebrates with example of the family Acugutturidae,(4) parasites of plants with two examples: Tylenchorhynchus dubius and Heterodera schachtii,(5) parasites of fungi,(6) predatory nematodes,(7) omnivores (nematodes feeding on different kinds of food). Basic information on the anatomy of the alimentary canal and feeding behaviour of the nematodes are also provided.
Most cited papers:
Mesh-terms: Bacteria :: enzymology; Bacteria :: genetics; Bacteria :: metabolism; Bacterial Physiology; Carbohydrates :: metabolism; Chemotaxis; Chromosome Mapping; Diffusion; Enzyme Activation; Enzyme Induction; Enzyme Repression; Evolution; Genes, Bacterial; Genes, Regulator; Membrane Potentials; Mutation; Operon; Phosphoenolpyruvate Sugar Phosphotransferase System :: genetics; Phosphoenolpyruvate Sugar Phosphotransferase System :: metabolism; Phosphorylation; Support, Non-U.S. Gov't; Suppression, Genetic;
Biology Department, University of Utah, Salt Lake City 84112.
Bacteria continuously adapt to changes in their environment. Responses are largely controlled by signal transduction systems that contain two central enzymatic components, a protein kinase that uses adenosine triphosphate to phosphorylate itself at a histidine residue and a response regulator that accepts phosphoryl groups from the kinase. This conserved phosphotransfer chemistry is found in a wide range of bacterial species and operates in diverse systems to provide different regulatory outputs. The histidine kinases are frequently membrane receptor proteins that respond to environmental signals and phosphorylate response regulators that control transcription. Four specific regulatory systems are discussed in detail: chemotaxis in response to attractant and repellent stimuli (Che), regulation of gene expression in response to nitrogen deprivation (Ntr), control of the expression of enzymes and transport systems that assimilate phosphorus (Pho), and regulation of outer membrane porin expression in response to osmolarity and other culture conditions (Omp). Several additional systems are also examined, including systems that control complex developmental processes such as sporulation and fruiting-body formation, systems required for virulent infections of plant or animal host tissues, and systems that regulate transport and metabolism. Finally, an attempt is made to understand how cross-talk between parallel phosphotransfer pathways can provide a global regulatory curcuitry.
Mesh-terms: Amino Acid Sequence; Bacteria :: metabolism; Bacterial Physiology; Bacterial Proteins :: metabolism; Chemotaxis :: physiology; Molecular Sequence Data; Nitrogen :: metabolism; Phosphates :: metabolism; Phosphoprotein Phosphatase :: metabolism; Phosphorylation; Protein Kinases :: metabolism; Signal Transduction :: physiology; Water-Electrolyte Balance :: physiology;
Department of Molecular Biology, Princeton University, New Jersey 08544.
Cells display a remarkable ability to respond to small fluctuations in their surroundings. In simple microbial systems, information from sensory receptors feeds into a circuitry of regulatory proteins that transfer high energy phosphoryl groups from histidine to aspartate side chains. This phosphotransfer network couples environmental signals to an array of response elements that control cell motility and regulate gene expression.
Mesh-terms: Amino Acid Sequence; Bacteria :: genetics; Bacterial Outer Membrane Proteins :: genetics; Bacterial Physiology; Chemotaxis; Gene Expression Regulation, Bacterial; Membrane Proteins; Molecular Sequence Data; Nitrogen :: metabolism; Phosphoproteins; Porins; Signal Transduction; Support, Non-U.S. Gov't; Support, U.S. Gov't, P.H.S. ;
Department of Molecular Biology, Princeton University, New Jersey 08544.
Cells use complex networks of interacting molecular components to transfer and process information. These "computational devices of living cells" are responsible for many important cellular processes, including cell-cycle regulation and signal transduction. Here we address the issue of the sensitivity of the networks to variations in their biochemical parameters. We propose a mechanism for robust adaptation in simple signal transduction networks. We show that this mechanism applies in particular to bacterial chemotaxis. This is demonstrated within a quantitative model which explains, in a unified way, many aspects of chemotaxis, including proper responses to chemical gradients. The adaptation property is a consequence of the network's connectivity and does not require the 'fine-tuning' of parameters. We argue that the key properties of biochemical networks should be robust in order to ensure their proper functioning.
Mesh-terms: Adaptation, Physiological; Bacterial Physiology; Bacterial Proteins :: physiology; Chemotaxis :: physiology; Escherichia coli :: physiology; Kinetics; Membrane Proteins :: physiology; Models, Biological; Receptors, Cell Surface :: physiology; Signal Transduction; Support, U.S. Gov't, Non-P.H.S. ; Support, U.S. Gov't, P.H.S. ;
Statistical fluctuations limit the precision with which a microorganism can, in a given time T, determine the concentration of a chemoattractant in the surrounding medium. The best a cell can do is to monitor continually the state of occupation of receptors distributed over its surface. For nearly optimum performance only a small fraction of the surface need be specifically adsorbing. The probability that a molecule that has collided with the cell will find a receptor is Ns/(Ns + pi a), if N receptors, each with a binding site of radius s, are evenly distributed over a cell of radius a. There is ample room for many indenpendent systems of specific receptors. The adsorption rate for molecules of moderate size cannot be significantly enhanced by motion of the cell or by stirring of the medium by the cell. The least fractional error attainable in the determination of a concentration c is approximately (TcaD)- 1/2, where D is diffusion constant of the attractant. The number of specific receptors needed to attain such precision is about a/s. Data on bacteriophage absorption, bacterial chemotaxis, and chemotaxis in a cellular slime mold are evaluated. The chemotactic sensitivity of Escherichia coli approaches that of the cell of optimum design.
Suspensions of isolated epithelial cells (colonocytes) from the human colon were used to assess utilisation of respiratory fuels which are normally available to the colonic mucosa in vivo. Cells were prepared from operative specimens of the ascending colon (seven) and descending colon (seven). The fuels that were used were the short chain fatty acid n-butyrate, produced only by anaerobic bacteria in the colonic lumen, together with glucose and glutamine, normally present in the circulation. The percentage oxygen consumption attributable to n-butyrate, when this was the only substrate, was 73% in the ascending colon and 75% in the descending colon. In the presence of 10 mM glucose these proportions changed to 59% and 72%. Aerobic glycolysis was observed in both the ascending and descending colon. Glucose oxidation accounted for 85% of the oxygen consumption in the ascending colon and 30% in the descending colon. In the presence of 10 mM n-butyrate these proportions decreased to 41% in the ascending colon and 16% in the descending colon. Based on the assumption that events in the isolated colonocytes reflect utilization of fuels in vivo, the hypothesis is put forward that fatty acids of anaerobic bacteria are a major source of energy for the colonic mucosa, particularly of the distal colon.
Mesh-terms: Anaerobiosis; Bacterial Physiology; Butyrates :: metabolism; Colon :: cytology; Colon :: metabolism; Glucose :: metabolism; Glutamine :: metabolism; Glycolysis; Human; In Vitro; Intestinal Mucosa :: cytology; Intestinal Mucosa :: metabolism; Ketone Bodies :: biosynthesis; Oxygen Consumption;
Réanimation Médicale, Hôpital Bichat, Paris, France.
To determine risk factors for ventilator-associated pneumonia (VAP) caused by potentially drug-resistant bacteria such as methicillin-resistant Staphylococcus aureus, Pseudomonas aeruginosa, Acinetobacter baumannii, and/or Stenotrophomonas maltophilia, 135 consecutive episodes of VAP observed in a single ICU over a 25-mo period were prospectively studied. For all patients, VAP was diagnosed based on results of bronchoscopic protected specimen brush (> or = 10(3) cfu/ml) and bronchoalveolar lavage (> or = 10(4) cfu/ml) specimens. Seventy-seven episodes were caused by "potentially resistant" bacteria and 58 episodes were caused by "other" organisms. According to logistic regression analysis, three variables among potential factors remained significant: duration of mechanical ventilation (MV)> or = 7 d (odds ratio [OR]= 6.0), prior antibiotic use (OR = 13.5), and prior use of broad-spectrum drugs (third-generation cephalosporin, fluoroquinolone, and/or imipenem)(OR = 4.1). Distribution of the 245 causative bacteria was analyzed according to four groups defined by prior duration of MV (< 7 or > or = 7 d) and prior use or lack of use (within 15 d) of antibiotics. Although 22 episodes of early-onset VAP in patients receiving no prior antibiotics were caused by antibiotic-susceptible bacteria, 84 episodes of late-onset VAP in patients receiving prior antibiotics were mainly caused by potentially resistant bacteria. Differences in the potential efficacies (ranging from 100% to 11%) against microorganisms of 15 antimicrobial regimens were studied according to classification into these four groups. These findings may provide a more rational basis for selecting the initial therapy of patients suspected of having VAP.
Mesh-terms: Aged; Anti-Bacterial Agents :: therapeutic use; Bacteria :: classification; Bacteria :: drug effects; Bacteria :: isolation & purification; Bacterial Infections :: microbiology; Bacterial Physiology; Drug Resistance, Microbial :: physiology; Female; Human; Intensive Care Units; Male; Middle Aged; Pneumonia :: etiology; Pneumonia :: microbiology; Prospective Studies; Respiration, Artificial :: adverse effects; Risk Factors; Time Factors;
Department of Medicine, University of California, San Diego, La Jolla 92093.
Bacterial invasion of mucosal surfaces results in a rapid influx of polymorphonuclear leukocytes. The chemotactic stimulus responsible for this response is not known. Since epithelial cells are among the first cells entered by many enteric pathogens, we investigated the ability of epithelial cells to provide an early signal for the mucosal inflammatory response through the release of chemotactic cytokines. As shown herein, the chemokine interleukin-8 (IL-8), a potent chemoattractant and activator of polymorphonuclear leukocytes, was secreted by intestinal and cervical epithelial cells in response to bacterial entry. Moreover, a variety of different bacteria, including those that remain inside phagosomal vacuoles, e.g., Salmonella spp., and those that enter the cytoplasm, e.g., Listeria monocytogenes, stimulated this response. Increased IL-8 mRNA levels could be detected within 90 min after infection. Neither bacterial lipopolysaccharide nor noninvasive bacteria, including Escherichia coli and Enterococcus faecium, induced an IL-8 response. Moreover, tumor necrosis factor alpha, which is known to be expressed by some epithelial cells, was not detected in the culture supernatants after bacterial entry, and addition of anti-tumor necrosis factor alpha antibodies had no effect on the IL-8 response following bacterial entry. These data suggest the novel concept that epithelial cells serve as an early signaling system to host immune and inflammatory cells in the underlying mucosa following bacterial entry.
Mesh-terms: Bacterial Physiology; Cell Line; Enterobacteriaceae :: physiology; Enterococcus faecium :: physiology; Epithelial Cells; Epithelium :: microbiology; Epithelium :: secretion; Hela Cells; Human; Interleukin-8 :: genetics; Interleukin-8 :: secretion; Listeria monocytogenes :: physiology; Mucous Membrane :: immunology; RNA, Messenger :: analysis; Support, Non-U.S. Gov't; Support, U.S. Gov't, Non-P.H.S. ; Support, U.S. Gov't, P.H.S. ; Tumor Necrosis Factor :: physiology;
