Fig 7.1. Fig 7.2 The bacteria flagella motor [source: Berg HC, Ann. Rev. Biochem 2003] Fig 7.3.

Slides:



Advertisements
Similar presentations
Receptor clustering and signal processing in E.coli Chemotaxis Ref.1----TRENDS in Microbiology Vol.12 No.12 December 2004 Ref.2----PNAS Vol. 102 No. 48.
Advertisements

Bacterial motility, chemotaxis Lengeler et al. Chapter 20, p Global regulatory networks and signal transduction pathways.
5/10/2015Yang Yang, Candidacy Seminar1 Near-Perfect Adaptation in Bacterial Chemotaxis Yang Yang and Sima Setayeshgar Department of Physics Indiana University,
Flagella Slender rigid structures
Chemotaxis and Motility in E. coli Examples of Biochemical and Genetic Networks Background Chemotaxis- signal transduction network Flagella gene expression.
Signal transduction in bacterial chemotaxis Lengeler et al. pp
Sept 25 Biochemical Networks Chemotaxis and Motility in E. coli Examples of Biochemical and Genetic Networks Background Chemotaxis- signal transduction.
Marcus Tindall Centre for Mathematical Biology Mathematical Institute St Giles’ Oxford. PESB, Manchester, 2007.
Chemotaxis: Another go Chrisantha Fernando Systems Biology Centre Birmingham University Chrisantha Fernando Systems Biology Centre Birmingham University.
Modeling the chemosensing system of E. coli
Bacterial Chemotaxis Dr. Chrisantha Fernando Systems Biology Centre University of Birmingham, UK March 2007 Dr. Chrisantha Fernando Systems Biology Centre.
X-pp X-p X v v v v Y-pp Y-p Y v v v v Etc. 6.8 Double phosphorylation in protein kinase cascades: Protein kinases X,Y and Z are usually phosphorylated.
Systems Biology Ophelia Venturelli CS374 December 6, 2005.
Other Extracellular Layers Outer membrane Capsule Sheath Cell Appendages Filamentous, small: Fimbriae, Pili, & Spinae Filamentous, large: Flagella Outer.
1 Dynamics and Control of Biological Systems Chapter 24 addresses a variety of analysis problems in the field of biosystems: Systems Biology Gene Regulation.
E. coli exhibits an important behavioral response known as chemotaxis - motion toward desirable chemicals (usually nutrients) and away from harmful ones.
Bacterial chemotaxis lecture 2 Manipulation & Modeling Genetic manipulation of the system to test the robustness model Explaining Ultrasensitivity and.
1 Introduction to Biological Modeling Steve Andrews Brent lab, Basic Sciences Division, FHCRC Lecture 1: Introduction Sept. 22, 2010.
The chemotaxis network is able to extract once the input signal varies slower relative to the response time of the chemotaxis network. Under an input signal.
Overview of next five lectures: How is directional motility accomplished at the single cell level? An emphasis on experimental approaches for testing models.
Adaptation Essential for sensory perception Nearly universal Salmonella How to move towards unseen food?
Robustness in protein circuits: adaptation in bacterial chemotaxis 1 Information in Biology 2008 Oren Shoval.
March 8, 2007March APS Meeting, Denver, CO1 Near-Perfect Adaptation in Bacterial Chemotaxis Yang Yang and Sima Setayeshgar Department of Physics Indiana.
Optimal Strategy in E. coli Chemotaxis: An Information Theoretic Approach Lin Wang and Sima Setayeshgar Department of Physics, Indiana University, Bloomington,
L17. Robustness in bacterial chemotaxis response
Life Sciences-HHMI Outreach. Copyright 2009 President and Fellows of Harvard College. Daniel Smith - Sanborn Regional High School Summer 2009 Workshop.
12/24/2015Yang Yang, Candidacy Seminar1 Near-Perfect Adaptation in Bacterial Chemotaxis Yang Yang and Sima Setayeshgar Department of Physics Indiana University,
1/2/2016Yang Yang, Candidacy Seminar1 Near-Perfect Adaptation in Bacterial Chemotaxis Yang Yang and Sima Setayeshgar Department of Physics Indiana University,
Optimal Strategy in E. coli Chemotaxis: An Information Theoretic Approach Lin Wang and Sima Setayeshgar Department of Physics, Indiana University, Bloomington,
Microbiology and Molecular Biology for Engineers IGEM, 20 June 2006.
Lin Wang Advisor: Sima Setayeshgar. Motivation: Information Processing in Biological Systems Chemical signaling cascade is the most fundamental information.
- George Bernard Shaw „Self Control is the quality that distinguishes the fittest to survive”
In-silico Implementation of Bacterial Chemotaxis Lin Wang Advisor: Sima Setayeshgar.
Approach…  START with a fine-tuned model of chemotaxis network that:  reproduces key features of experiments (adaptation times to small and large ramps,
General Microbiology (MICR300) Lecture 6 Microbial Physiology (Text Chapters: 3; 4.14; 4.16 and )
The chemotaxis network is able to extract as much as information possible once the input signal varies slower relative to the response time of the chemotaxis.
Advanced Aspects of Chemotactic Mechanisms:
Near-Perfect Adaptation in Bacterial Chemotaxis
Bacterial Chemotaxis Bacteria swim toward attractants and away from repellents. Their motion is a biased random walk due to control of tumbling frequency.
The chemotaxis network of E. coli
Module 2: Robustness in Biochemical Signaling Networks
Bacterial Chemotaxis Bacteria swim toward attractants and away from repellents. Their motion is a biased random walk due to control of tumbling frequency.
F. Matthäus, M. Jagodič, J. Dobnikar  Biophysical Journal 
„Self Control is the quality that distinguishes the fittest to survive” - George Bernard Shaw.
„Self Control is the quality that distinguishes the fittest to survive” - George Bernard Shaw.
Control theory and homeostasis
Near-Perfect Adaptation in Bacterial Chemotaxis
„Self Control is the quality that distinguishes the fittest to survive” - George Bernard Shaw.
Near-Perfect Adaptation in Bacterial Chemotaxis
„Self Control is the quality that distinguishes the fittest to survive” - George Bernard Shaw.
The biochemistry of memory
Yang Yang & Sima Setayeshgar
Fundamental Constraints on the Abundances of Chemotaxis Proteins
Kelly E. Caputo, Dooyoung Lee, Michael R. King, Daniel A. Hammer 
Mechanism of chemotaxis in E
Noise Underlies Switching Behavior of the Bacterial Flagellum
Bacterial chemotaxis: The five sensors of a bacterium
Near-Perfect Adaptation in Bacterial Chemotaxis
Mark A. Lemmon, Daniel M. Freed, Joseph Schlessinger, Anatoly Kiyatkin 
Toshinori Namba, Masatoshi Nishikawa, Tatsuo Shibata 
Phosphatase Specificity and Pathway Insulation in Signaling Networks
Model of Bacterial Band Formation in Aerotaxis
Effects of Receptor Interaction in Bacterial Chemotaxis
Near-Perfect Adaptation in Bacterial Chemotaxis
Simulating cell biology
Robustness of Cellular Functions
Experimental Verification of the Behavioral Foundation of Bacterial Transport Parameters Using Microfluidics  Tanvir Ahmed, Roman Stocker  Biophysical.
Bacterial chemotaxis Current Biology
Presentation transcript:

Fig 7.1

Fig 7.2

The bacteria flagella motor [source: Berg HC, Ann. Rev. Biochem 2003] Fig 7.3

Motors turn CCW RunTumble Motor turns CW When tethered to a surface the entire cell rotates, and Individual motors show two-state behavior time CCW CW Fig 7.4 Bacterial runs and tumbles are related to the rotation direction of theflagella motors. When all motors are CCW, the flagella turn in a bundle and cell is propelled. When one or more turn CW, the cell tumbles. Switching Dynamics of a single motor can be seen by tethering a cell to a surface by Means of its flagellum, so that the motor turns the entire cell body (at frequencies of a few hertz due to the large viscous drag of the body). 10 sec

Tumbling frequency 1/sec Time [min] Fig 7.5 : Tumbling-frequency of a population of cells exposed at time t= 5 to a step addition of saturating attractant (such as L-aspartate). After t=5, attractant is uniformly present at constant concentration. Exact adaptation means that the steady-state tumbling-frequency in the presence of attractant Is equal to that in its absence.

Fig 7.6 [Alon et al Nature 1999]

Fig 6.7

Figure 7.8: Activity dynamics in the fine-tuned model in response to a step addition of saturating attractant At time t=2 (dimensionless units throughout). A) Fine-tuned model shows exact adaptation with a tuned parameter set/ B) Dynamics when CheR level Is lowered by 20% with respect to fine-tuned parameter set. A time A a)b)

Fig 7.9 Robust mechanism for exact adaptation. Un-methylated receptors are methylated by CheR at a constant rate. Methylated receptors (marked with CH3 groups) transit rapidly between active and inactive states (the former marked with a star). Attractant binding increases the rate to become inactive, whereas repellents increase the rate to become active. De-mthylation is due to CheB, which acts only on the active methylated receptors. The active receptors catalyze the phosphorylation of CheY, leading to tumbles.

Fig 7.10: Activity dynamics in the robust model in response to addition of saturating attractant at time t=2. a) model parameters K=10, VR R =1, VB B=2. b) same parameters with R reduced by 20%. Exact adaptation is preserved, Steady-state tumbling frequency is fine-tuned. A A a) b) time

Fig Experimental test of robustness in chemotaxis. The protein CheR was Expressed at different levels. Adaptation time and steady-state tumbling frequency varied with CheR, whereas adaptation remained exact. Adaptation precision is the ratio of tumbling frequency before and after saturating attractant (1mM aspartate). Wild-type tumbling frequency in this experiment is about 0.4/sec (black dot in b). Source: Alon, Barkai, Surette, Leibler, Nature 1999.