Microbial Communication : mathematical modeling, synthetic biology and the role of noise.
Majumdar, Sarangam.
2020
QH301-705
Available Online

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Title Microbial Communication : mathematical modeling, synthetic biology and the role of noise.
Author Majumdar, Sarangam.
ISBN 9789811574177 (electronic book)
9811574170 (electronic book)
9811574162
9789811574160
DOI https://doi.org/10.1007/978-981-15-7
Imprint [S.l.] : SPRINGER VERLAG, SINGAPOR, 2020.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-981-15-7
Call Number QH301-705
Dewey Decimal Classification 579.3
Summary This book introduces the concept of bacterial communication systems from a mathematical modeling point of view. It sheds light on the research undertaken in the last three decades, and the mathematical models that have been proposed to understand the underlying mechanism of such systems. These communication systems are related to quorum sensing mechanisms and quorum sensing regulated processes such as biofilm formation, gene expression, bioluminescence, swarming and virulence. The book further describes the phenomenon of noise, and discusses how noise plays a crucial role in gene expression and the quorum sensing circuit operationusing a set of tools like frequency domain analysis, power spectral density, stochastic simulation and the whitening effect. It also explores various aspects of synthetic biology (related to bacterial communication), such as genetic toggle switch, bistable gene regulatory networks, transcriptional repressor systems, pattern formation, synthetic cooperation, predator-prey synthetic systems, dynamical quorum sensing, synchronized quorum of genetic clocks, role of noise in synthetic biology, the Turing test and stochastic Turing test.
Access Note Access limited to authorized users.
Available in Other Form Print version: 9789811574160
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Chapter 1. Introduction
Chapter 2. Talking about talking microbes
Chapter 3. Mathematical models of quorum sensing molecular mechanisms
Chapter 4. Mathematical models of quorum sensing regulated biofilms development
Chapter 5. Mathematical models of bacterial swarming behaviour regulated by quorum sensing. Chapter 6. Mathematical models of bacterial quorum sensing regulated virulence factors
Chapter 7. Evolutionary models of bacterial communication systems
Chapter 8. Pattern formation in bacterial conversation mechanisms
Chapter 9. Summary of Experimental Results
Chapter 10. Therapy related mathematical models and quorum quenching
Chapter 11. Role of noise in microbial communication
Chapter 12. Electrical communication systems in bacterial biofilms and ion-channels
Chapter 13. Synthetic biology and microbial communication
Chapter 14. Role of Noise in Synthetic Biology.-Chapter 15 Noise in Science and Technology Vs Biological System.

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