NDLI: Stochastic strategies for survival: Bacterial competence in Bacillus Subtilis

Content Provider	IEEE Xplore Digital Library
Author	Dandach, S.H. Khammash, M.
Copyright Year	2011
Description	Author affiliation: Center for Control, Dynamical Syst. & Comput., Univ. of California at Santa Barbara, Santa Barbara, CA, USA (Dandach, S.H.; Khammash, M.)
Abstract	Under stressful environments, organisms take actions that help them protect their DNA. An example of such actions is the stochastic switching that Bacillus subtilis undergoes, in which it goes from the vegetative state to a competent state. When in competence, the cell has an increased ability to bind to and internalize exogenous DNA. This increases the chances of survival of a cell. Competence is nonetheless an expensive state for the cell to be in, so the decision to switch undergoes a very delicate regulation. A major player in controlling the switching of the cell is the ComK protein. ComK protein is a key regulator which activates hundreds of genes, including the genes encoding the DNA-uptake and recombination systems. In Bacillus subtilis, stress in the environment activates a sequence of chemical reactions that, driven by cellular noise, stochastically increases the level of ComK in some bacterial cells driving them from their original vegetative state into a competent state. In this work, we use the Finite State Projection (FSP) method to analyze stochastic biochemical events and to study the excitable dynamics responsible for competence in Bacillus Subtilis. We compute the probability with which Bacillus subtilis enters in competence. We also present a method to analyze the sensitivity of these stochastic events to various system parameters such as binding affinities, transcription rates, degradation rates, etc.
Sponsorship	Control Syst. Soc.
Starting Page	2296
Ending Page	2301
File Size	425163
Page Count	6
File Format	PDF
ISBN	9781457700804
ISSN	07431619
e-ISBN	9781457700811
DOI	10.1109/ACC.2011.5991255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Mathematical model Integrated circuit modeling Numerical models Stochastic processes Equations Sensitivity Chemicals
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Simulation of noise in neurons and neuronal circuits

Multistate modeling and simulation for regulatory networks

Analysis of higher-order electrical circuits with noisy sources via stochastic differential equations approach

The Milstein numerical scheme in solving stochastic second order networks

Analysis of stochastic strategies in bacterial competence: a master equation approach (2010).

Molecular level stochastic model for competence cycles in Bacillus subtilis.

Simulation of arc characteristics in molded case circuit breaker

The effect of reversals for a stochastic source-seeking process inspired by bacterial chemotaxis

A Generalized Model of Noise Driven Circuits with Application to Stochastic Resonance

Stochastic strategies for survival: Bacterial competence in Bacillus Subtilis

Similar Documents

Simulation of noise in neurons and neuronal circuits

Multistate modeling and simulation for regulatory networks

Analysis of higher-order electrical circuits with noisy sources via stochastic differential equations approach

The Milstein numerical scheme in solving stochastic second order networks

Analysis of stochastic strategies in bacterial competence: a master equation approach (2010).

Molecular level stochastic model for competence cycles in Bacillus subtilis.

Simulation of arc characteristics in molded case circuit breaker

The effect of reversals for a stochastic source-seeking process inspired by bacterial chemotaxis

A Generalized Model of Noise Driven Circuits with Application to Stochastic Resonance

Stochastic strategies for survival: Bacterial competence in Bacillus Subtilis