Literature DB >> 27569186

Simulation of the M13 life cycle II: Investigation of the control mechanisms of M13 infection and establishment of the carrier state.

Steven W Smeal1, Margaret A Schmitt1, Ronnie Rodrigues Pereira1, Ashok Prasad1, John D Fisk2.   

Abstract

Bacteriophage M13 is a true parasite of bacteria, able to co-opt the infected cell and control the production of progeny across many cellular generations. Here, our genetically-structured simulation of M13 is applied to quantitatively dissect the interplay between the host cellular environment and the controlling interactions governing the phage life cycle during the initial establishment of infection and across multiple cell generations. Multiple simulations suggest that phage-encoded feedback interactions constrain the utilization of host DNA polymerase, RNA polymerase and ribosomes. The simulation reveals the importance of p5 translational attenuation in controlling the production of phage double-stranded DNA and suggests an underappreciated role for p5 translational self-attenuation in resource allocation. The control elements active in a single generation are sufficient to reproduce the experimentally-observed multigenerational curing of the phage infection. Understanding the subtleties of regulation will be important for maximally exploiting M13 particles as scaffolds for nanoscale devices. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computational biology; Genetically-structured simulation; M13 bacteriophage; Systems biology; Virus life cycle

Mesh:

Substances:

Year:  2016        PMID: 27569186     DOI: 10.1016/j.virol.2016.08.015

Source DB:  PubMed          Journal:  Virology        ISSN: 0042-6822            Impact factor:   3.616


  7 in total

Review 1.  Kinetic Modeling of Virus Growth in Cells.

Authors:  John Yin; Jacob Redovich
Journal:  Microbiol Mol Biol Rev       Date:  2018-03-28       Impact factor: 11.056

2.  Extracellular Vesicle Molecular Profiling for Diagnostic Purposes: An Application of Phage Display Technology.

Authors:  Stella Garcia Colombarolli; Alberto Vitali; Francesca Sciandra
Journal:  Methods Mol Biol       Date:  2023

3.  Various mutations compensate for a deleterious lacZα insert in the replication enhancer of M13 bacteriophage.

Authors:  Emily M Zygiel; Karen A Noren; Marta A Adamkiewicz; Richard J Aprile; Heather K Bowditch; Christine L Carroll; Maria Abigail S Cerezo; Adelle M Dagher; Courtney R Hebert; Lauren E Hebert; Gloria M Mahame; Stephanie C Milne; Kelly M Silvestri; Sara E Sutherland; Alexandria M Sylvia; Caitlyn N Taveira; David J VanValkenburgh; Christopher J Noren; Marilena Fitzsimons Hall
Journal:  PLoS One       Date:  2017-04-26       Impact factor: 3.240

4.  Combinatorial Approaches to Viral Attenuation.

Authors:  Matthew L Paff; Benjamin R Jack; Bartram L Smith; James J Bull; Claus O Wilke
Journal:  mSystems       Date:  2018-07-31       Impact factor: 6.496

5.  Bioproduction of pure, kilobase-scale single-stranded DNA.

Authors:  Tyson R Shepherd; Rebecca R Du; Hellen Huang; Eike-Christian Wamhoff; Mark Bathe
Journal:  Sci Rep       Date:  2019-04-16       Impact factor: 4.379

6.  Classifying the Unclassified: A Phage Classification Method.

Authors:  Cynthia Maria Chibani; Anton Farr; Sandra Klama; Sascha Dietrich; Heiko Liesegang
Journal:  Viruses       Date:  2019-02-24       Impact factor: 5.048

7.  Exploiting spatial dimensions to enable parallelized continuous directed evolution.

Authors:  Ting Wei; Wangsheng Lai; Qian Chen; Yi Zhang; Chenjian Sun; Xionglei He; Guoping Zhao; Xiongfei Fu; Chenli Liu
Journal:  Mol Syst Biol       Date:  2022-09       Impact factor: 13.068

  7 in total

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