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DNA Bacteriophages01:26

DNA Bacteriophages

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Bacteriophages, or phages, are viruses that specifically infect bacteria, utilizing their genetic material to hijack host cellular machinery for replication. DNA bacteriophages employ single-stranded DNA (ssDNA) or double-stranded DNA (dsDNA) genomes. These phages exhibit diverse replication strategies and host interactions, influencing their ecological roles and applications in biotechnology and medicine.ssDNA BacteriophagesssDNA phages, with their small genomes, utilize unique strategies to...
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Bacteriophages, also known as phages, are specialized viruses that infect bacteria. A key characteristic of phages is their distinctive “head-tail” morphology. A phage begins the infection process (i.e., lytic cycle) by attaching to the outside of a bacterial cell. Attachment is accomplished via proteins in the phage tail that bind to specific receptor proteins on the outer surface of the bacterium. The tail injects the phage’s DNA genome into the bacterial cytoplasm. In the...
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Bacteriophages, or phages, are viruses that specifically infect bacteria. Among them, T-even bacteriophages, such as T4, exhibit a well-characterized lytic replication cycle in Escherichia coli (E. coli). This process ensures the rapid proliferation of the virus while ultimately leading to the destruction of the bacterial host.Attachment and DNA InjectionThe infection process begins with the recognition and binding of the T4 phage to the E. coli cell surface. Tail fibers of the phage...
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In contrast to the lytic cycle, phages infecting bacteria via the lysogenic cycle do not immediately kill their host cell. Instead, they combine their genome with the host genome, allowing the bacteria to replicate the phage DNA along with the bacterial genome. The incorporated copy of the phage genome is called the prophage. Some prophages can re-activate and enter the lytic cycle. This often occurs in response to a perturbation, such as DNA damage, but can also transpire in the absence of...
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The lysogenic cycle is a crucial viral replication strategy that allows bacteriophages to persist within host cells without immediately destroying them. This process is primarily observed in temperate phages, such as bacteriophage lambda (λ), which infects Escherichia coli. The cycle allows the viral genome to persist across bacterial generations while keeping host cells viable.Integration of the Viral GenomeUpon infection, bacteriophage lambda attaches to the bacterial surface and injects...
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Modeling Phage-Bacteria Dynamics.

Saptarshi Sinha1, Rajdeep Kaur Grewal1, Soumen Roy2

  • 1Department of Physics, Bose Institute, Kolkata, India.

Methods in Molecular Biology (Clifton, N.J.)
|March 13, 2020
PubMed
Summary
This summary is machine-generated.

Mathematical modeling offers insights into phage-bacteria dynamics, guiding experimental design. This study explores various modeling techniques for understanding these crucial interactions.

Keywords:
Cellular AutomataDifferential equationsMonte Carlo simulationsPhage–bacteria interactionsReaction–diffusion equations

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Area of Science:

  • Microbiology and Mathematical Biology
  • Ecological Dynamics and Coevolutionary Processes

Background:

  • Phage-bacteria interactions are fundamental to microbial ecology and evolution.
  • Mathematical modeling provides a powerful framework for understanding these complex dynamics.

Purpose of the Study:

  • To review and discuss various mathematical modeling techniques applicable to phage-bacteria dynamics.
  • To highlight the utility of these models in informing experimental design.

Main Methods:

  • Discussion of Monte Carlo simulations for well-mixed populations.
  • Explanation of ordinary and delay differential equations for population dynamics.
  • Introduction to cellular automata and reaction-diffusion equations for spatially structured environments.

Main Results:

  • Modeling techniques effectively capture phage-bacteria dynamics in both well-mixed and spatially restricted settings.
  • Different modeling approaches are suited for different ecological scenarios.

Conclusions:

  • Mathematical modeling is essential for deciphering phage-bacteria coevolutionary dynamics.
  • Understanding these dynamics through modeling can optimize phage therapy and microbial control strategies.