IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i7p1154-d1625030.html
   My bibliography  Save this article

The Memory Lag Regulates the Threshold Effect Within the Repressor Gene Module

Author

Listed:
  • Fengquan Chen

    (School of Mathematics and Statistics, Hainan University, Haikou 570228, China
    Key Laboratory of Engineering Modeling and Statistical Computation of Hainan Province, Hainan University, Haikou 570228, China)

  • Sizhe Wang

    (The School of Mathematics, Tianjin University, Tianjin 300072, China)

  • Shan Li

    (School of Mathematics and Statistics, Hainan University, Haikou 570228, China
    Key Laboratory of Engineering Modeling and Statistical Computation of Hainan Province, Hainan University, Haikou 570228, China)

  • Haohua Wang

    (School of Mathematics and Statistics, Hainan University, Haikou 570228, China
    Key Laboratory of Engineering Modeling and Statistical Computation of Hainan Province, Hainan University, Haikou 570228, China)

Abstract

The abundance level of the lambda phage repressor is randomly fluctuated by the influence of multiple ligand signals, inducing its phenotypic diversity. However, the mechanism of how the memory lag of fluctuations and the nonlinear structure of the expression system regulate the phenotypic diversity is still obscure. Here, we try to investigate a prototypical regulatory network coupled with random fluctuations (noise) and nonlinear structures to focus on the impact of protein abundance fluctuations within bacteriophages on cellular phenotypic transitions and energy dissipation throughout the process. Our findings reveal that there exists a threshold of the CI protein abundance to regulate the switching from the lysogenic to lytic states of the lambda phage, influencing its reproductive strategy. Specifically, an increase in the memory lag of multiplicative noise leads to a delayed transition from the lysogenic to lytic states. Additive noise exerts an effect that is nearly the opposite of that of multiplicative noise. Furthermore, we reconstruct the effective equivalent topological network to calculate the energy consumption cost of these switching. It is indicated that it only dissipates the lower energy to achieve the bimodality in a low-noise environment. In contrast, it needs to dissipate more energy to maintain the stability of the expression system in larger fluctuations. Comprehensive analysis suggests that lambda phages can optimize their survival strategies by modulating the cellular microenvironment, specifically through adjusting noise intensity and memory lag.

Suggested Citation

  • Fengquan Chen & Sizhe Wang & Shan Li & Haohua Wang, 2025. "The Memory Lag Regulates the Threshold Effect Within the Repressor Gene Module," Mathematics, MDPI, vol. 13(7), pages 1-23, March.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:7:p:1154-:d:1625030
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/7/1154/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/7/1154/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:7:p:1154-:d:1625030. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.