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DNA as a Genetic Template

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Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...

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DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers

DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers

Published on: October 25, 2017

Primitive chain network simulations for entangled DNA solutions.

Yuichi Masubuchi¹, Kenji Furuichi, Kazushi Horio

¹Institute for Chemical Research, Kyoto University, Gokasyo, Uji, Kyoto 611-0011, Japan. mas@scl.kyoto-u.ac.jp

The Journal of Chemical Physics

|September 26, 2009

Summary

This summary is machine-generated.

Primitive chain network simulations accurately predict polymer rheology in entangled DNA solutions. However, molecular extension measures show discrepancies, highlighting areas for further investigation in polymer dynamics.

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Area of Science:

Polymer Physics
Rheology
Computational Chemistry

Background:

Polymer rheology theories rely on polymer chain dynamics.
Direct conformational measurements are preferred over indirect rheological ones.
Understanding entangled polymer behavior is crucial for material science.

Purpose of the Study:

To compare primitive chain network simulations with experimental data for entangled DNA solutions.
To validate simulations against both rheological and molecular extension measurements.
To investigate the influence of flow on polymer conformations in entangled systems.

Main Methods:

Utilizing primitive chain network simulations.
Comparing simulation results with experimental rheological data (linear and nonlinear viscoelasticities).
Comparing simulation-derived molecular extension measures with fluorescent microscopy data.

Main Results:

Simulations show good agreement with linear viscoelastic response and nonlinear viscosity growth curves.
Significant departures observed between simulated and experimental molecular extension measures, even at equilibrium.
The influence of flow on conformational distributions in entangled polymers was simulated for the first time.

Conclusions:

Primitive chain network simulations are a valuable tool for predicting polymer rheology.
Discrepancies in molecular extension measures suggest limitations in current simulation models or experimental interpretations.
Further research is needed to understand the reasons for the observed deviations in molecular extension.