Metabolism-Dependent Taxis and Control of Motility in Pseudomonas Putida
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BMC Microbiology BioMed Central Research article Open Access A census of membrane-bound and intracellular signal transduction proteins in bacteria: Bacterial IQ, extroverts and introverts Michael Y Galperin* Address: National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA Email: Michael Y Galperin* - [email protected] * Corresponding author Published: 14 June 2005 Received: 18 April 2005 Accepted: 14 June 2005 BMC Microbiology 2005, 5:35 doi:10.1186/1471-2180-5-35 This article is available from: http://www.biomedcentral.com/1471-2180/5/35 © 2005 Galperin; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Analysis of complete microbial genomes showed that intracellular parasites and other microorganisms that inhabit stable ecological niches encode relatively primitive signaling systems, whereas environmental microorganisms typically have sophisticated systems of environmental sensing and signal transduction. Results: This paper presents results of a comprehensive census of signal transduction proteins – histidine kinases, methyl-accepting chemotaxis receptors, Ser/Thr/Tyr protein kinases, adenylate and diguanylate cyclases and c-di-GMP phosphodiesterases – encoded in 167 bacterial and archaeal genomes, sequenced by the end of 2004. The data have been manually checked to avoid false- negative and false-positive hits that commonly arise during large-scale automated analyses and compared against other available resources. The census data show uneven distribution of most signaling proteins among bacterial and archaeal phyla. -
The World of Cyclic Dinucleotides in Bacterial Behavior
molecules Review The World of Cyclic Dinucleotides in Bacterial Behavior Aline Dias da Purificação, Nathalia Marins de Azevedo, Gabriel Guarany de Araujo , Robson Francisco de Souza and Cristiane Rodrigues Guzzo * Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 01000-000, Brazil * Correspondence: [email protected] or [email protected]; Tel.: +55-11-3091-7298 Received: 27 December 2019; Accepted: 17 March 2020; Published: 25 May 2020 Abstract: The regulation of multiple bacterial phenotypes was found to depend on different cyclic dinucleotides (CDNs) that constitute intracellular signaling second messenger systems. Most notably, c-di-GMP, along with proteins related to its synthesis, sensing, and degradation, was identified as playing a central role in the switching from biofilm to planktonic modes of growth. Recently, this research topic has been under expansion, with the discoveries of new CDNs, novel classes of CDN receptors, and the numerous functions regulated by these molecules. In this review, we comprehensively describe the three main bacterial enzymes involved in the synthesis of c-di-GMP, c-di-AMP, and cGAMP focusing on description of their three-dimensional structures and their structural similarities with other protein families, as well as the essential residues for catalysis. The diversity of CDN receptors is described in detail along with the residues important for the interaction with the ligand. Interestingly, genomic data strongly suggest that there is a tendency for bacterial cells to use both c-di-AMP and c-di-GMP signaling networks simultaneously, raising the question of whether there is crosstalk between different signaling systems. In summary, the large amount of sequence and structural data available allows a broad view of the complexity and the importance of these CDNs in the regulation of different bacterial behaviors. -
A Hybrid Computational Model for Collective Cell Durotaxis
Biomechanics and Modeling in Mechanobiology https://doi.org/10.1007/s10237-018-1010-2 ORIGINAL PAPER A hybrid computational model for collective cell durotaxis Jorge Escribano1 · Raimon Sunyer2,5 · María Teresa Sánchez3 · Xavier Trepat2,4,5,6 · Pere Roca-Cusachs2,4 · José Manuel García-Aznar1 Received: 13 September 2017 / Accepted: 17 February 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Collective cell migration is regulated by a complex set of mechanical interactions and cellular mechanisms. Collective migration emerges from mechanisms occurring at single cell level, involving processes like contraction, polymerization and depolymerization, of cell–cell interactions and of cell–substrate adhesion. Here, we present a computational framework which simulates the dynamics of this emergent behavior conditioned by substrates with stiffness gradients. The computational model reproduces the cell’s ability to move toward the stiffer part of the substrate, process known as durotaxis. It combines the continuous formulation of truss elements and a particle-based approach to simulate the dynamics of cell–matrix adhesions and cell–cell interactions. Using this hybrid approach, researchers can quickly create a quantitative model to understand the regulatory role of different mechanical conditions on the dynamics of collective cell migration. Our model shows that durotaxis occurs due to the ability of cells to deform the substrate more in the part of lower stiffness than in the stiffer part. This effect explains why cell collective movement is more effective than single cell movement in stiffness gradient conditions. In addition, we numerically evaluate how gradient stiffness properties, cell monolayer size and force transmission between cells and extracellular matrix are crucial in regulating durotaxis. -
Mathematical Modelling and Analysis of Aspects of Planktonic Bacterial Motility
Mathematical modelling and analysis of aspects of planktonic bacterial motility Gabriel Aaron Rosser St Anne's College University of Oxford A thesis submitted for the degree of Doctor of Philosophy Michaelmas 2012 Contents 1 The biology of bacterial motility and taxis 8 1.1 Bacterial motility and taxis . .8 1.2 Experimental methods used to probe bacterial motility . 14 1.3 Tracking . 20 1.4 Conclusion and outlook . 21 2 Mathematical methods and models of bacterial motility and taxis 23 2.1 Modelling bacterial motility and taxis: a multiscale problem . 24 2.2 The velocity jump process . 34 2.3 Spatial moments of the general velocity jump process . 46 2.4 Circular statistics . 49 2.5 Stochastic simulation algorithm . 52 2.6 Conclusion and outlook . 54 3 Analysis methods for inferring stopping phases in tracking data 55 3.1 Analysis methods . 58 3.2 Simulation study comparison of the analysis methods . 76 3.3 Results . 80 3.4 Discussion and conclusions . 86 4 Analysis of experimental data 92 4.1 Methods . 92 i 4.2 Results . 109 4.3 Discussion and conclusions . 124 5 The effect of sampling frequency 132 5.1 Background and methods . 133 5.2 Stationary distributions . 136 5.3 Simulation study of dynamic distributions . 140 5.4 Analytic study of dynamic distributions . 149 5.5 Discussion and conclusions . 159 6 Modelling the effect of Brownian buffeting on motile bacteria 162 6.1 Background . 163 6.2 Mathematical methods . 166 6.3 A model of rotational diffusion in bacterial motility . 173 6.4 Results . 183 6.5 Discussion and conclusion . -
Thermotaxis Is a Robust Mechanism for Thermoregulation in Caenorhabditis Elegans Nematodes
12546 • The Journal of Neuroscience, November 19, 2008 • 28(47):12546–12557 Behavioral/Systems/Cognitive Thermotaxis is a Robust Mechanism for Thermoregulation in Caenorhabditis elegans Nematodes Daniel Ramot,1* Bronwyn L. MacInnis,2* Hau-Chen Lee,2 and Miriam B. Goodman1,2 1Program in Neuroscience and 2Department of Molecular and Cellular Physiology, Stanford University, Stanford, California 94305 Many biochemical networks are robust to variations in network or stimulus parameters. Although robustness is considered an important design principle of such networks, it is not known whether this principle also applies to higher-level biological processes such as animal behavior. In thermal gradients, Caenorhabditis elegans uses thermotaxis to bias its movement along the direction of the gradient. Here we develop a detailed, quantitative map of C. elegans thermotaxis and use these data to derive a computational model of thermotaxis in the soil, a natural environment of C. elegans. This computational analysis indicates that thermotaxis enables animals to avoid temperatures at which they cannot reproduce, to limit excursions from their adapted temperature, and to remain relatively close to the surface of the soil, where oxygen is abundant. Furthermore, our analysis reveals that this mechanism is robust to large variations in the parameters governing both worm locomotion and temperature fluctuations in the soil. We suggest that, similar to biochemical networks, animals evolve behavioral strategies that are robust, rather than strategies that rely on fine tuning of specific behavioral parameters. Key words: behavior; C. elegans; temperature; neuroethology; computational models; robustness Introduction model to investigate the ability of thermotaxis to regulate Tb and its robustness to genetic and environmental perturbation. -
Dissection of Exopolysaccharide Biosynthesis in Kozakia Baliensis Julia U
Brandt et al. Microb Cell Fact (2016) 15:170 DOI 10.1186/s12934-016-0572-x Microbial Cell Factories RESEARCH Open Access Dissection of exopolysaccharide biosynthesis in Kozakia baliensis Julia U. Brandt, Frank Jakob*, Jürgen Behr, Andreas J. Geissler and Rudi F. Vogel Abstract Background: Acetic acid bacteria (AAB) are well known producers of commercially used exopolysaccharides, such as cellulose and levan. Kozakia (K.) baliensis is a relatively new member of AAB, which produces ultra-high molecular weight levan from sucrose. Throughout cultivation of two K. baliensis strains (DSM 14400, NBRC 16680) on sucrose- deficient media, we found that both strains still produce high amounts of mucous, water-soluble substances from mannitol and glycerol as (main) carbon sources. This indicated that both Kozakia strains additionally produce new classes of so far not characterized EPS. Results: By whole genome sequencing of both strains, circularized genomes could be established and typical EPS forming clusters were identified. As expected, complete ORFs coding for levansucrases could be detected in both Kozakia strains. In K. baliensis DSM 14400 plasmid encoded cellulose synthase genes and fragments of truncated levansucrase operons could be assigned in contrast to K. baliensis NBRC 16680. Additionally, both K. baliensis strains harbor identical gum-like clusters, which are related to the well characterized gum cluster coding for xanthan synthe- sis in Xanthomanas campestris and show highest similarity with gum-like heteropolysaccharide (HePS) clusters from other acetic acid bacteria such as Gluconacetobacter diazotrophicus and Komagataeibacter xylinus. A mutant strain of K. baliensis NBRC 16680 lacking EPS production on sucrose-deficient media exhibited a transposon insertion in front of the gumD gene of its gum-like cluster in contrast to the wildtype strain, which indicated the essential role of gumD and of the associated gum genes for production of these new EPS. -
Complete Genome Sequence and Methylome Analysis of Beggiatoa Leptomitoformis Strains D-401 and D-402
Complete Genome Sequence and Methylome Analysis of Beggiatoa leptomitoformis strains D-401 and D-402. Alexey Fomenkova*, Zhiyi Suna Tamas Vinczea, Maria Orlova b, Brian P. Antona, Margarita Yu. Grabovichb, Richard J. Roberts a. aNew England Biolabs, Ipswich, MA, USA bDepartment of Biochemistry and Cell Physiology, Voronezh State University, Voronezh, Russia. *Correspondence: [email protected] The taxonomy of Beggiatoa genus is still a work in progress. Despite many morphotypes of the Beggiatoa genus having been described in the literature, only one species, B. alba has been validated until now. In 2016, we described a second species, B. leptomitoformis. Two strains of B. leptomitoformis D-401 and D-402 have been isolated from different regions of Russia. They differ in their morphology and physiology and especially their ability to grow lithotrophically in the presence of thiosulfate. While B. leptomitoformis D-402 is able to accumulate elemental sulfur, strain D-401 cannot. We performed genomic sequencing of these two strains using the PacBio SMRT platform and assembled the reads into two complete circular genomes: B. leptomitoformis D-401 with 4,266,286 bp and D-402 with 4,265,296 bp. Both genome sequences have been deposited in GenBank with accession numbers CP018889 and CP012373 respectively (1). Surprisingly these two genomes showed almost 99% identity. The preliminary analysis of metabolic operons of thiosulfate oxidation (soxAXBZY) and autotrophic assimilation of CO2 (the genes encoded for the enzymes of the Calvin-Bassham cycle) in both strains did not reveal any noticeable differences. One advantage of the PacBio sequencing platform is its ability to detect the epigenetic state of the sequenced DNA, which allows for the identification of modified nucleotides and the corresponding motifs in which they occur. -
Diguanylate Cyclase Null Mutant Reveals That C-Di-GMP Pathway Regulates the Motility and Adherence of the Extremophile Bacterium Acidithiobacillus Caldus
RESEARCH ARTICLE Diguanylate Cyclase Null Mutant Reveals That C-Di-GMP Pathway Regulates the Motility and Adherence of the Extremophile Bacterium Acidithiobacillus caldus Matías Castro1, Shelly M. Deane2, Lina Ruiz1, Douglas E. Rawlings2, Nicolas Guiliani1* 1 Laboratorio de Comunicación Bacteriana, Departamento de Biología, Facultad de Ciencias, Universidad de Chile, Santiago, Chile, 2 Department of Microbiology, Stellenbosch University, Stellenbosch, South Africa * [email protected] Abstract OPEN ACCESS An understanding of biofilm formation is relevant to the design of biological strategies to im- prove the efficiency of the bioleaching process and to prevent environmental damages Citation: Castro M, Deane SM, Ruiz L, Rawlings DE, Guiliani N (2015) Diguanylate Cyclase Null Mutant caused by acid mine/rock drainage. For this reason, our laboratory is focused on the char- Reveals That C-Di-GMP Pathway Regulates the acterization of the molecular mechanisms involved in biofilm formation in different biomining Motility and Adherence of the Extremophile bacteria. In many bacteria, the intracellular levels of c-di-GMP molecules regulate the transi- Bacterium Acidithiobacillus caldus. PLoS ONE 10(2): tion from the motile planktonic state to sessile community-based behaviors, such as biofilm e0116399. doi:10.1371/journal.pone.0116399 development, through different kinds of effectors. Thus, we recently started a study of the Academic Editor: Melanie R. Mormile, Missouri c-di-GMP pathway in several biomining bacteria including Acidithiobacillus caldus. University of Science and Technology, UNITED STATES C-di-GMP molecules are synthesized by diguanylate cyclases (DGCs) and degraded by phosphodiesterases (PDEs). We previously reported the existence of intermediates in- Received: September 17, 2014 volved in c-di-GMP pathway from different Acidithiobacillus species. -
The Bacterial Stressosome: a Modular System That Has Been Adapted to Control Secondary Messenger Signaling
Structure Article The Bacterial Stressosome: A Modular System that Has Been Adapted to Control Secondary Messenger Signaling Maureen B. Quin,1,2,3 John M. Berrisford,1,3 Joseph A. Newman,1 Arnaud Basle´ ,1 Richard J. Lewis,1,* and Jon Marles-Wright1,* 1Institute for Cell and Molecular Biosciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK 2Present address: Gortner Laboratory of Biochemistry, University of Minnesota, Saint Paul, MN 55108, USA 3These authors contributed equally to this work *Correspondence: [email protected] (R.J.L.), [email protected] (J.M.-W.) DOI 10.1016/j.str.2012.01.003 SUMMARY upstream module of genes within the operon that encodes proteins equivalent to the Regulator of sB proteins (Rsb) of The stressosome complex regulates downstream B. subtilis: RsbR, RsbS, RsbT, and RsbX. In addition, there is effectors in response to environmental signals. In a downstream module comprising a series of genes with differing Bacillus subtilis, it activates the alternative sigma functions (Pane´ -Farre´ et al., 2005). In B. subtilis, RsbU, RsbV, B factor sB, leading to the upregulation of the general RsbW, and s are inserted between the RsbT and RsbX genes. stress regulon. Herein, we characterize a stresso- The RsbR homologs encode a variable N-terminal domain, some-regulated biochemical pathway in Moorella which may act as a sensor, and a conserved STAS (Sulfate Transport and Anti-anti-Sigma factor) C-terminal domain (Akbar thermoacetica. We show that the presumed sensor, et al., 1997). The gene encoding RsbR is always followed by that MtR, and the scaffold, MtS, form a pseudo-icosahe- for the single STAS domain protein RsbS, which multimerizes B. -
Paenibacillus Polymyxa
Liu et al. BMC Microbiology (2021) 21:70 https://doi.org/10.1186/s12866-021-02132-2 RESEARCH ARTICLE Open Access Interactional mechanisms of Paenibacillus polymyxa SC2 and pepper (Capsicum annuum L.) suggested by transcriptomics Hu Liu, Yufei Li, Ke Ge, Binghai Du, Kai Liu, Chengqiang Wang* and Yanqin Ding* Abstract Background: Paenibacillus polymyxa SC2, a bacterium isolated from the rhizosphere soil of pepper (Capsicum annuum L.), promotes growth and biocontrol of pepper. However, the mechanisms of interaction between P. polymyxa SC2 and pepper have not yet been elucidated. This study aimed to investigate the interactional relationship of P. polymyxa SC2 and pepper using transcriptomics. Results: P. polymyxa SC2 promotes growth of pepper stems and leaves in pot experiments in the greenhouse. Under interaction conditions, peppers stimulate the expression of genes related to quorum sensing, chemotaxis, and biofilm formation in P. polymyxa SC2. Peppers induced the expression of polymyxin and fusaricidin biosynthesis genes in P. polymyxa SC2, and these genes were up-regulated 2.93- to 6.13-fold and 2.77- to 7.88-fold, respectively. Under the stimulation of medium which has been used to culture pepper, the bacteriostatic diameter of P. polymyxa SC2 against Xanthomonas citri increased significantly. Concurrently, under the stimulation of P. polymyxa SC2, expression of transcription factor genes WRKY2 and WRKY40 in pepper was up-regulated 1.17-fold and 3.5-fold, respectively. Conclusions: Through the interaction with pepper, the ability of P. polymyxa SC2 to inhibit pathogens was enhanced. P. polymyxa SC2 also induces systemic resistance in pepper by stimulating expression of corresponding transcription regulators. -
The Behavior of Fishes by Antonios Pappantoniou
The Behavior of Fishes by Antonios Pappantoniou I. A GENERAL OVERVIEW OF FISH BEHAVIOR This article is the first in a series of articles on the behavior of North American freshwater fishes. Althou~h this first ~rticle will not stress any species in particular, each !~ture article will focus on the behavior of a single species or group of closely related fishes. It is the intent of the articles to supply the readers with a knowledge of fish behavior so that they may better understand and enjoy their aquarium fishes. The articles will draw on information from the scien tific literat~re and the authors' own observations. The behavior of fishes is very much dictated by their environment. Two factors, temperature and light, are probably the most critical environmental factors control ling fish behavior. Fish are classed as ectothermic animals. Ectothermic means they must rely on outside sources of he~r. to maintain their body temperature. Temperature governs biochemical and physiological activities which in turn control fish behavior. The preferred te~perature of fish varies with the species. Fish species adapted to swift-flowing streams prefer cooler temperatures than those species adapted to life in a small pond. Temperatures may fluctuate on a daily or seasonal basis. Daily fluctuations, especially in the s~~er months, can cause onshore - offshore movements in species of lake fish. Seasonal changes in temperature are partly responsible for initiati~g physiological changes which lead to reproductive activity in fish. Light is the other critical environmental factor controlling fish behavior. 1 fish may be diurnal. Such a fish would be active during the day. -
Chapter 51 Animal Behavior
Chapter 51 Animal Behavior Lecture Outline Overview: Shall We Dance? • Red-crowned cranes (Grus japonensis) gather in groups to dance, prance, stretch, bow, and leap. They grab bits of plants, sticks, and feathers with their bills and toss them into the air. • How does a crane decide that it is time to dance? In fact, why does it dance at all? • Animal behavior is based on physiological systems and processes. • An individual behavior is an action carried out by the muscular or hormonal system under the control of the nervous system in response to a stimulus. • Behavior contributes to homeostasis; an animal must acquire nutrients for digestion and find a partner for sexual reproduction. • All of animal physiology contributes to behavior, while animal behavior influences all of physiology. • Being essential for survival and reproduction, animal behavior is subject to substantial selective pressure during evolution. • Behavioral selection also acts on anatomy because body form and appearance contribute directly to the recognition and communication that underlie many behaviors. Concept 51.1: A discrete sensory input is the stimulus for a wide range of animal behaviors. • An animal’s behavior is the sum of its responses to external and internal stimuli. Classical ethology presaged an evolutionary approach to behavioral biology. • In the mid-20th century, pioneering behavioral biologists developed the discipline of ethology, the scientific study of how animals behave in their natural environments. • Niko Tinbergen, of the Netherlands, suggested four questions that must be answered to fully understand any behavior. 1. What stimulus elicits the behavior, and what physiological mechanisms mediate the response? 2.