Turbidostat

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The Experts below are selected from a list of 234 Experts worldwide ranked by ideXlab platform

Lansun Chen - One of the best experts on this subject based on the ideXlab platform.

Hailing Wang - One of the best experts on this subject based on the ideXlab platform.

  • Mean persistence and extinction for a novel stochastic Turbidostat model
    Nonlinear Dynamics, 2019
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    A novel stochastic Turbidostat model is proposed and investigated in this paper. Firstly, we verify the existence and uniqueness of the positive solution for the model. Secondly, conditions for mean persistent of microorganism are derived, and the results show that population will be persistent if perturbation is small enough. We also derive conditions of extinction for population in this paper. Finally, theoretical results are verified by two examples and numerical simulations.

  • Dynamical Analysis of a Stochastic Multispecies Turbidostat Model
    Complexity, 2019
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    A stochastic Turbidostat system in which the dilution rate is subject to white noise is investigated in this paper. First of all, sufficient conditions of the competitive exclusion among microorganisms are obtained by employing the techniques of stochastic analysis. Furthermore, the results demonstrate that the competition among microorganisms and stochastic disturbance will affect the dynamical behaviors of microorganisms. Finally, the theoretical results obtained in this contribution are illustrated by numerical simulations.

  • Dynamic behaviors of a Turbidostat model with Tissiet functional response and discrete delay
    Advances in Difference Equations, 2018
    Co-Authors: Yong Yao, Huili Xiang, Hailing Wang
    Abstract:

    In this paper, dynamic behaviors of a Turbidostat model with Tissiet functional response, linear variable yield and time delay are investigated. The existence and boundedness of solutions, the local asymptotic stability of its equilibria and the phenomenon of Hopf bifurcation for this system are considered. Using the Liapunov–LaSalle invariance principle, we show that the washout equilibrium is global asymptotic stability for any time delay. Furthermore, based on some knowledge of limit set, we show the necessary and sufficient conditions of permanent of the Turbidostat model. Finally, numerical simulations are offered to support our results.

  • Existence and persistence of positive solution for a stochastic Turbidostat model
    Advances in Difference Equations, 2017
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    A novel stochastic Turbidostat model is investigated in this paper. The stochasticity in the model comes from the maximal growth rate influenced by white noise. Firstly, the existence and uniqueness of the positive solution for the system are demonstrated. Secondly, we analyze the persistence in mean and stochastic persistence of the system, respectively. Sufficient conditions about the extinction of the microorganism are obtained. Finally, numerical simulation results are given to support the theoretical conclusions.

  • Bifurcation analysis of a Turbidostat model with distributed delay
    Nonlinear Dynamics, 2017
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    In this paper, dynamic behaviors of a Turbidostat model with distributed delay are concerned. Hopf bifurcations arise when the value of bifurcation parameter, the time delay of translation for the nutrient, crosses some critical values. Firstly, the type and stability of bifurcating periodic solutions are determined by the normal form theory and the center manifold theorem. Moreover, the destabilization of periodic solutions is also discussed. Finally, numerical simulation results are given to support the theoretical conclusions.

Huili Xiang - One of the best experts on this subject based on the ideXlab platform.

  • Mean persistence and extinction for a novel stochastic Turbidostat model
    Nonlinear Dynamics, 2019
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    A novel stochastic Turbidostat model is proposed and investigated in this paper. Firstly, we verify the existence and uniqueness of the positive solution for the model. Secondly, conditions for mean persistent of microorganism are derived, and the results show that population will be persistent if perturbation is small enough. We also derive conditions of extinction for population in this paper. Finally, theoretical results are verified by two examples and numerical simulations.

  • Dynamical Analysis of a Stochastic Multispecies Turbidostat Model
    Complexity, 2019
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    A stochastic Turbidostat system in which the dilution rate is subject to white noise is investigated in this paper. First of all, sufficient conditions of the competitive exclusion among microorganisms are obtained by employing the techniques of stochastic analysis. Furthermore, the results demonstrate that the competition among microorganisms and stochastic disturbance will affect the dynamical behaviors of microorganisms. Finally, the theoretical results obtained in this contribution are illustrated by numerical simulations.

  • Dynamic behaviors of a Turbidostat model with Tissiet functional response and discrete delay
    Advances in Difference Equations, 2018
    Co-Authors: Yong Yao, Huili Xiang, Hailing Wang
    Abstract:

    In this paper, dynamic behaviors of a Turbidostat model with Tissiet functional response, linear variable yield and time delay are investigated. The existence and boundedness of solutions, the local asymptotic stability of its equilibria and the phenomenon of Hopf bifurcation for this system are considered. Using the Liapunov–LaSalle invariance principle, we show that the washout equilibrium is global asymptotic stability for any time delay. Furthermore, based on some knowledge of limit set, we show the necessary and sufficient conditions of permanent of the Turbidostat model. Finally, numerical simulations are offered to support our results.

  • Existence and persistence of positive solution for a stochastic Turbidostat model
    Advances in Difference Equations, 2017
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    A novel stochastic Turbidostat model is investigated in this paper. The stochasticity in the model comes from the maximal growth rate influenced by white noise. Firstly, the existence and uniqueness of the positive solution for the system are demonstrated. Secondly, we analyze the persistence in mean and stochastic persistence of the system, respectively. Sufficient conditions about the extinction of the microorganism are obtained. Finally, numerical simulation results are given to support the theoretical conclusions.

  • Bifurcation analysis of a Turbidostat model with distributed delay
    Nonlinear Dynamics, 2017
    Co-Authors: Huili Xiang, Hailing Wang
    Abstract:

    In this paper, dynamic behaviors of a Turbidostat model with distributed delay are concerned. Hopf bifurcations arise when the value of bifurcation parameter, the time delay of translation for the nutrient, crosses some critical values. Firstly, the type and stability of bifurcating periodic solutions are determined by the normal form theory and the center manifold theorem. Moreover, the destabilization of periodic solutions is also discussed. Finally, numerical simulation results are given to support the theoretical conclusions.

Eric Klavins - One of the best experts on this subject based on the ideXlab platform.

  • Accelerating Evolutionary Hill Climbs in Parallel Turbidostats
    2017
    Co-Authors: Christopher N. Takahashi, Luis Zaman, Eric Klavins
    Abstract:

    Evolution has been used to address many engineering problems. Within the context of metabolic engineering and synthetic biology, directed evolution has natural applications. However, most research concerning optimizing microbial evolution has been focused on library generation and screening, while accelerating evolutionary hill climbs and been largely ignored. Here, we develop a model to explore how population structure can accelerate evolutionary hill climbs. We show that by adjusting the population size, environmental challenge, and meta-population dynamics that the rate of evolution can be accelerated in parallel Turbidostats. Our analyses leads to two surprising results: small populations are favored over conventionally large microbial populations, and propagating modest fitness improvements is favored over propagating mutants with large beneficial mutations. When combined with rational design and other optimization techniques our theory can accelerate strain development for applications such as consolidated bioprocessing, and bioremidation systems.

  • A Low Cost, Customizable Turbidostat for Use in Synthetic Circuit Characterization
    2015
    Co-Authors: Christopher N. Takahashi, Aaron W. Miller, Felix Ekness, Maitreya J. Dunham, Eric Klavins
    Abstract:

    Engineered biological circuits are often disturbed by a variety of environmental factors. In batch culture, where the majority of synthetic circuit characterization occurs, environmental conditions vary as the culture matures. Turbidostats are powerful characterization tools that provide static culture environments; however, they are often expensive, especially when purchased in custom configurations, and are difficult to design and construct in a lab. Here, we present a low cost, open source multiplexed Turbidostat that can be manufactured and used with minimal experience in electrical or software engineering. We demonstrate the utility of this system to profile synthetic circuit behavior in S. cerevisiae. We also demonstrate the flexibility of the design by showing that a fluorometer can be easily integrated

  • A low cost, customizable Turbidostat for use in synthetic circuit characterization.
    ACS synthetic biology, 2014
    Co-Authors: Christopher N. Takahashi, Aaron W. Miller, Felix Ekness, Maitreya J. Dunham, Eric Klavins
    Abstract:

    Engineered biological circuits are often disturbed by a variety of environmental factors. In batch culture, where the majority of synthetic circuit characterization occurs, environmental conditions vary as the culture matures. Turbidostats are powerful characterization tools that provide static culture environments; however, they are often expensive, especially when purchased in custom configurations, and are difficult to design and construct in a lab. Here, we present a low cost, open source multiplexed Turbidostat that can be manufactured and used with minimal experience in electrical or software engineering. We demonstrate the utility of this system to profile synthetic circuit behavior in S. cerevisiae. We also demonstrate the flexibility of the design by showing that a fluorometer can be easily integrated.

Christopher N. Takahashi - One of the best experts on this subject based on the ideXlab platform.

  • Accelerating Evolutionary Hill Climbs in Parallel Turbidostats
    2017
    Co-Authors: Christopher N. Takahashi, Luis Zaman, Eric Klavins
    Abstract:

    Evolution has been used to address many engineering problems. Within the context of metabolic engineering and synthetic biology, directed evolution has natural applications. However, most research concerning optimizing microbial evolution has been focused on library generation and screening, while accelerating evolutionary hill climbs and been largely ignored. Here, we develop a model to explore how population structure can accelerate evolutionary hill climbs. We show that by adjusting the population size, environmental challenge, and meta-population dynamics that the rate of evolution can be accelerated in parallel Turbidostats. Our analyses leads to two surprising results: small populations are favored over conventionally large microbial populations, and propagating modest fitness improvements is favored over propagating mutants with large beneficial mutations. When combined with rational design and other optimization techniques our theory can accelerate strain development for applications such as consolidated bioprocessing, and bioremidation systems.

  • A Low Cost, Customizable Turbidostat for Use in Synthetic Circuit Characterization
    2015
    Co-Authors: Christopher N. Takahashi, Aaron W. Miller, Felix Ekness, Maitreya J. Dunham, Eric Klavins
    Abstract:

    Engineered biological circuits are often disturbed by a variety of environmental factors. In batch culture, where the majority of synthetic circuit characterization occurs, environmental conditions vary as the culture matures. Turbidostats are powerful characterization tools that provide static culture environments; however, they are often expensive, especially when purchased in custom configurations, and are difficult to design and construct in a lab. Here, we present a low cost, open source multiplexed Turbidostat that can be manufactured and used with minimal experience in electrical or software engineering. We demonstrate the utility of this system to profile synthetic circuit behavior in S. cerevisiae. We also demonstrate the flexibility of the design by showing that a fluorometer can be easily integrated

  • A low cost, customizable Turbidostat for use in synthetic circuit characterization.
    ACS synthetic biology, 2014
    Co-Authors: Christopher N. Takahashi, Aaron W. Miller, Felix Ekness, Maitreya J. Dunham, Eric Klavins
    Abstract:

    Engineered biological circuits are often disturbed by a variety of environmental factors. In batch culture, where the majority of synthetic circuit characterization occurs, environmental conditions vary as the culture matures. Turbidostats are powerful characterization tools that provide static culture environments; however, they are often expensive, especially when purchased in custom configurations, and are difficult to design and construct in a lab. Here, we present a low cost, open source multiplexed Turbidostat that can be manufactured and used with minimal experience in electrical or software engineering. We demonstrate the utility of this system to profile synthetic circuit behavior in S. cerevisiae. We also demonstrate the flexibility of the design by showing that a fluorometer can be easily integrated.