DNA Mechanics & Topology

The physical mechanics of DNA: from the worm-like chain model and persistence length to supercoiling topology, looping thermodynamics, nucleosome wrapping energetics, and the force-extension-torque relationship. These mechanical properties underpin gene regulation, chromosome organization, and DNA nanotechnology.

Table of Contents

1. DNA as a Worm-Like Chain

The Worm-Like Chain (Kratky-Porod) Model

DNA is modeled as a continuously flexible rod with bending modulus $\kappa$. The bending energy of a configuration is:

$$E_{\text{bend}} = \frac{\kappa}{2}\int_0^L \left(\frac{\partial \hat{t}}{\partial s}\right)^2 ds = \frac{\kappa}{2}\int_0^L \left(\frac{1}{R(s)}\right)^2 ds$$

where $\hat{t}(s)$ is the unit tangent vector at arc length $s$ and$R(s)$ is the local radius of curvature. The persistence length $L_p$ is defined as the characteristic decay length of tangent correlations:

$$\boxed{L_p = \frac{\kappa}{k_BT}}$$

For dsDNA: $L_p \approx 50$ nm $\approx 150$ bp. This means dsDNA is rigid on scales below 50 nm and flexible on longer scales. For comparison: ssDNA has$L_p \approx 1$ nm, RNA has $L_p \approx 2$ nm, and microtubules have$L_p \approx 5$ mm.

Tangent Correlation Function

The tangent-tangent correlation function decays exponentially. To derive this, consider the energy of bending between two points separated by $\Delta s$. In 2D, the angle $\theta$ between tangents is Gaussian-distributed with variance$\langle\theta^2\rangle = \Delta s / L_p$. Using$\langle\cos\theta\rangle = \exp(-\langle\theta^2\rangle/2)$ in 2D (or more precisely, averaging over all fluctuation modes):

$$\boxed{\langle \hat{t}(s) \cdot \hat{t}(0) \rangle = \langle\cos\theta(s)\rangle = e^{-s/L_p}}$$

This result is exact for the WLC in 3D. It means orientational memory is exponentially lost over a characteristic distance $L_p$.

End-to-End Distance

The mean square end-to-end distance is computed by integrating the tangent correlation:

$$\langle R^2 \rangle = \left\langle \left|\int_0^L \hat{t}(s)\,ds\right|^2 \right\rangle = \int_0^L\int_0^L \langle\hat{t}(s)\cdot\hat{t}(s')\rangle\,ds\,ds'$$

Substituting the exponential correlation and performing the double integral:

$$\boxed{\langle R^2 \rangle = 2L_pL\left[1 - \frac{L_p}{L}\left(1 - e^{-L/L_p}\right)\right]}$$

This interpolates between two limits:

  • Rigid rod ($L \ll L_p$): $\langle R^2 \rangle \approx L^2$
  • Flexible coil ($L \gg L_p$): $\langle R^2 \rangle \approx 2L_pL$ (random walk with step size $2L_p$, the Kuhn length)

Marko-Siggia Force-Extension Formula

The WLC force-extension relation cannot be obtained in closed form, but Marko and Siggia (1995) provided an excellent interpolation formula. For a WLC under force $F$ with fractional extension $z = x/L$:

$$\boxed{F = \frac{k_BT}{L_p}\left[\frac{1}{4(1-z)^2} - \frac{1}{4} + z\right]}$$

This has the correct asymptotic behavior:

  • • Low force: $F \approx \frac{3k_BT}{2L_pL}x$ (linear, entropic spring)
  • • High force: $F \approx \frac{k_BT}{4L_p(1-z)^2}$ (diverges as $x \to L$)

This formula fits single-molecule stretching data (optical tweezers, magnetic tweezers) for dsDNA with $L_p = 50$ nm to within 1% accuracy up to forces of ~10 pN, beyond which the extensible WLC (including backbone stretching) is needed.

2. DNA Supercoiling

Topological Invariant: Linking Number

For a closed circular DNA, the linking number $\text{Lk}$is a topological invariant that can only be changed by breaking and rejoining strands. It decomposes into:

$$\boxed{\text{Lk} = \text{Tw} + \text{Wr}}$$

where Tw (twist) counts the helical turns of one strand around the other, and Wr (writhe) measures the coiling of the helical axis in 3D space. For relaxed B-DNA, $\text{Lk}_0 = N/h$ where$N$ is the number of base pairs and $h = 10.5$ bp/turn.

Supercoiling Density and Free Energy

The supercoiling density is the fractional change in linking number:

$$\boxed{\sigma = \frac{\Delta\text{Lk}}{\text{Lk}_0} = \frac{\text{Lk} - \text{Lk}_0}{\text{Lk}_0}}$$

In bacteria, DNA is maintained at $\sigma \approx -0.06$ by the balance of gyrase (introduces negative supercoils) and topoisomerase I (removes them). The free energy stored in supercoiling is:

$$\boxed{G = \frac{2\pi^2 C}{L}(\Delta\text{Lk})^2 = \frac{2\pi^2 C \cdot \text{Lk}_0^2}{L}\sigma^2}$$

where $C$ is the torsional modulus ($C \approx 75$ nm $\times k_BT$). The quadratic dependence on $\sigma$ means the energy is symmetric for positive and negative supercoiling. Topoisomerases maintain the cell at the optimal $\sigma$ that facilitates strand separation for replication and transcription.

Topoisomerases

Topoisomerases are the enzymes that manage DNA topology:

  • Type I: Single-strand break, relaxes one turn at a time ($\Delta\text{Lk} = \pm 1$). No ATP required
  • Type II (e.g., gyrase): Double-strand break, passes one segment through another ($\Delta\text{Lk} = \pm 2$). ATP-dependent

The distribution of topoisomers in a relaxed population follows a Gaussian:$P(\Delta\text{Lk}) \propto \exp(-\frac{2\pi^2 C}{Lk_BT}(\Delta\text{Lk})^2)$, which allows experimental measurement of $C$ from gel electrophoresis of topoisomer ladders.

3. DNA Looping

Jacobson-Stockmayer Factor

DNA looping is essential for gene regulation. The Jacobson-Stockmayer factor $j(L)$ is the effective concentration of one end of a polymer at the position of the other end. For a Gaussian chain (long DNA, $L \gg L_p$):

$$\boxed{j(L) = \left(\frac{3}{2\pi L_p L}\right)^{3/2}}$$

This follows from the Gaussian probability distribution for the end-to-end vector$\mathbf{R}$ of a WLC:

$$P(\mathbf{R}) = \left(\frac{3}{4\pi L_p L}\right)^{3/2}\exp\!\left(-\frac{3R^2}{4L_pL}\right)$$

Setting $\mathbf{R} = 0$ for loop closure: $j(L) = P(0)$. The looping probability decreases as $L^{-3/2}$ for long DNA.

Short DNA: Bending Energy Barrier

For DNA shorter than a few persistence lengths ($L \lesssim 3L_p$), the Gaussian approximation breaks down. The bending energy required to form a loop of radius$R_{\text{loop}} = L/(2\pi)$ is:

$$G_{\text{bend}} = \frac{\kappa}{2}\int_0^L \frac{1}{R_{\text{loop}}^2}\,ds = \frac{L_p}{L}\cdot(2\pi)^2 \cdot \frac{k_BT}{2} = \frac{2\pi^2 L_p k_BT}{L}$$

For a 100 bp loop ($L = 34$ nm): $G_{\text{bend}} \approx 29 k_BT$, making spontaneous looping extremely rare. The Shimada-Yamakawa theory provides the full WLC result including both entropic and energetic contributions:

$$j_{\text{WLC}}(L) \approx j_{\text{Gauss}}(L) \cdot \exp\!\left(-\frac{2\pi^2 L_p}{L}\right) \cdot f(L/L_p)$$

where $f(L/L_p)$ is a correction factor that accounts for the non-Gaussian statistics of short chains. The looping probability has a maximum near $L \approx 500$ bp, balancing the bending energy penalty (short loops) against the entropic dilution (long loops).

4. Nucleosome Mechanics

Wrapping Free Energy

In the nucleosome, 147 bp of DNA ($\approx 50$ nm) are wrapped in 1.67 superhelical turns around the histone octamer (radius $R \approx 4.2$ nm). The bending energy cost is:

$$\boxed{G_{\text{bend}} = \frac{\kappa L}{2R^2} = \frac{L_p k_BT L}{2R^2}}$$

Substituting $L_p = 50$ nm, $L = 50$ nm, $R = 4.2$ nm:

$$G_{\text{bend}} = \frac{50 \times 50}{2 \times 4.2^2}\,k_BT \approx 71\,k_BT$$

This enormous bending energy (~175 kJ/mol) must be compensated by favorable histone-DNA interactions. Approximately 14 contact points between the histone octamer and the DNA minor groove contribute a total binding energy of ~28-40 $k_BT$ per contact site (electrostatic + hydrogen bonds), giving a total adhesion energy of ~100-140 $k_BT$. The net wrapping free energy is therefore $\Delta G \approx -30$ to $-70\,k_BT$, depending on DNA sequence (some sequences are easier to bend).

Unwrapping Equilibrium

DNA spontaneously unwraps from nucleosome ends ("breathing"). The equilibrium constant for unwrapping $n$ base pairs from one end is:

$$K_{\text{unwrap}}(n) = \exp\!\left(-\frac{\Delta G_{\text{contact}}(n) - \Delta G_{\text{bend}}(n)}{k_BT}\right)$$

where $\Delta G_{\text{contact}}(n)$ is the lost histone-DNA contact energy and$\Delta G_{\text{bend}}(n)$ is the recovered bending energy. The competition between these terms determines the unwrapping profile. FRET and force spectroscopy experiments show:

  • • Outer wraps (first ~20 bp from each end) unwrap transiently at equilibrium ($K \sim 0.01{-}0.1$)
  • • Inner wraps are much more stable ($K < 10^{-4}$)
  • • Applied force of ~3-5 pN is sufficient to unwrap the outer turns
  • • Full unwrapping requires ~20 pN in single-molecule pulling experiments

5. DNA Elasticity Under Torsion

Force-Extension-Torque Relationship

When DNA is simultaneously stretched and twisted (as in magnetic tweezers), the elastic response depends on three moduli: the bending persistence length $L_p$, the torsional persistence length $C$, and the stretch modulus $S$. The torque in the DNA is:

$$\tau = \frac{2\pi C \cdot k_BT}{L}\Delta\text{Lk}$$

As the DNA is overwound or underwound at constant force, the extension initially remains constant (torque builds up). Above a critical torque $\tau_c$, the DNA buckles to form plectonemic supercoils:

$$\boxed{\tau_c = \sqrt{2\kappa F} = \sqrt{2L_p k_BT \cdot F}}$$

Above $\tau_c$, each additional turn removes a fixed amount of extension as it is absorbed into plectonemes. The slope $dx/d(\text{turns})$ depends on force and is a key experimental observable.

Phase Diagram

The response of DNA to torsion depends on whether it is overwound or underwound:

  • Extended phase: $|\tau| < \tau_c$. DNA stores torsional energy as uniform twist. Extension unchanged
  • Plectonemic phase (positive supercoiling): $\tau > \tau_c$. Excess turns form right-handed plectonemes, shortening the molecule
  • Melted/denatured phase (negative supercoiling at low force): $\sigma < -0.02$ at $F < 0.5$ pN. Underwinding denatures the DNA locally, creating single-stranded bubbles

At high forces ($F > 6$ pN), the plectonemic phase is suppressed and the DNA undergoes a structural transition to an overwound form (P-DNA) at high positive torsion, or to denatured regions at high negative torsion. This rich phase behavior has been mapped in detail by magnetic tweezers experiments.

6. Biological Applications

Gene Regulation by Looping

Many genes are regulated by transcription factors that bind at distant sites and loop the intervening DNA. The lac operon in E. coli requires a ~400 bp loop between the operator and an auxiliary site. The looping probability determines the effective repressor concentration, creating ultrasensitive gene regulation. Loop length must be a multiple of ~10.5 bp (the helical repeat) for optimal phasing.

Chromosome Organization (TADs)

Topologically associating domains (TADs) are megabase-scale genomic regions that preferentially interact within themselves. The loop extrusion model proposes that cohesin/condensin complexes processively extrude DNA loops until stopped by CTCF boundary elements. The mechanics of loop extrusion involve the WLC elastic response and motor-driven translocation against the entropic restoring force of the polymer.

DNA Origami

DNA origami exploits the mechanical properties of DNA to create nanostructures. A long scaffold strand (~7000 nt) is folded into arbitrary 2D or 3D shapes by ~200 short staple strands. The design requires understanding of DNA bending (minimum radius$\sim 2L_p \approx 6$ nm for double crossover structures), twist (correct helical phasing at crossover points), and the mechanical stability of the resulting structure under thermal fluctuations.

CRISPR Mechanics

CRISPR-Cas9 must bend the target DNA by ~30$^\circ$ to check for complementarity with the guide RNA. The R-loop formed during target recognition involves local DNA unwinding and RNA-DNA hybrid formation. The energetics of this process depends on DNA supercoiling state: negatively supercoiled DNA is easier to denature, enhancing Cas9 activity in vivo. The torsional energy stored in supercoils can drive the strand separation needed for R-loop formation.

7. Interactive Simulations

WLC Force-Extension Curves & Tangent Correlations

Python

Marko-Siggia interpolation formula for DNA stretching, end-to-end distance statistics, persistence length effects for different biopolymers, and tangent correlation decay.

script.py114 lines

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DNA Supercoiling Energy & Looping Probability

Python

Supercoiling free energy as a function of sigma, topoisomer distributions, Jacobson-Stockmayer looping factor, and the Shimada-Yamakawa short DNA correction.

script.py167 lines

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Nucleosome Wrapping & DNA Torsional Phase Diagram

Python

Nucleosome bending energy, unwrapping equilibrium, critical torque for plectoneme formation, and the force-torsion phase diagram of DNA.

script.py182 lines

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