Photosynthesis is the single most important biological process on Earth. It’s our planet’s natural solar panel, converting sunlight into the chemical energy that fuels almost all living organisms. At the heart of this process lies a molecular machine known as Photosystem II (PSII)—the system responsible for splitting water and releasing oxygen.

PSII is both beautifully symmetric and deeply puzzling. Its core, called the reaction center (RC), is constructed with near-perfect C2 symmetry and contains two potential pathways for charge transport, referred to as the D1 and D2 branches. Structurally, these two branches are mirror images. Yet, only one of them—the D1 branch—is active in shuttling electrons. The D2 branch, despite being its molecular twin, appears to be inert—a “broken wire.”

For decades, scientists have asked: Why would nature build a perfectly symmetric machine but let half of it remain unused? Is D2 a backup plan, a relic of evolution, or an intentionally disabled component?

A recent study published in PNAS provides the clearest answer yet. Combining molecular dynamics (MD) simulations with Marcus theory, a cornerstone of electron transfer chemistry, researchers mapped the energetic and kinetic landscape of both branches. Their calculations revealed a significant energy blockade in the D2 branch that effectively prevents charge transport. This result delivers a definitive energetic explanation for the D2 branch’s inactivity.


The Powerhouse of Photosynthesis

Before diving into the energy calculations, let’s understand our molecular machine. Photosystem II is an enormous protein–pigment complex embedded in the membranes of chloroplasts. It initiates oxygenic photosynthesis by capturing photons and triggering a cascade of electron-transfer reactions.

Photosystem II architecture, including both D1 and D2 branches.

Figure 1. The PSII complex with antenna proteins CP43 and CP47 (Panel A), a zoomed view of the reaction center showing the pigment cofactors arranged along the D1 and D2 branches (Panel B), and the charge transport pathway along the active D1 branch (Panel C).

The reaction center (RC) inside PSII consists of several key pigment molecules arranged along its two symmetric branches:

  • Chlorophylls: \(P_{D1}\), \(P_{D2}\), \(Chl_{D1}\), \(Chl_{D2}\)
  • Pheophytins: \(Pheo_{D1}\), \(Pheo_{D2}\)
  • Terminal acceptors: \(Q_A\) (D1 branch), \(Q_B\) (D2 branch)

When light is absorbed by the antenna complex, the energy funnels into the RC, where it drives electrons along the D1 branch through the following sequence:

  1. Initial Charge Separation:
    An electron jumps from a central chlorophyll (\(Chl_{D1}\)) to a pheophytin (\(Pheo_{D1}\)), producing the state \(Chl_{D1}^+Pheo_{D1}^-\).
  2. Hole Transfer:
    The positive “hole” migrates from \(Chl_{D1}\) to \(P_{D1}\).
  3. Electron Transfer:
    The electron moves from \(Pheo_{D1}\) to the quinone molecule \(Q_A\), completing the reaction chain.

This sequence unfolds within trillionths of a second, launching the complex cascade that powers photosynthesis. If the D2 branch is structurally identical, why doesn’t it carry out the same steps?

To investigate, researchers needed a way to quantify how “easy” each electron transfer step is within both branches.


Mapping the Energy Landscape with Marcus Theory

To evaluate electron transfer efficiency, the team turned to Marcus theory, a Nobel Prize–winning framework describing how electrons move between donor and acceptor molecules in a fluctuating environment.

Marcus theory schematic.

Figure 2. (A) An electron transfers from the donor (D) to the acceptor (A), shifting solvent configurations. (B) Free energy parabolas for the reactant and product states, with the activation barrier \(\Delta G^{\dagger}\) marking the transition point.

Marcus theory simplifies the dramatic complexity of atomic motion into a reaction coordinate, depicting the energy of the system as two parabolas—one for the reactant (electron still on donor) and one for the product (electron transferred).

Three major parameters define the process:

  1. Driving Force (\(\Delta G_0\)) — the difference in free energy between reactant and product states.
  2. Reorganization Energy (\(\lambda\)) — the energy cost of reorganizing the molecular and solvent environment after charge transfer.
  3. Activation Barrier (\(\Delta G^{\dagger}\)) — the energy peak separating the two states; the smaller this barrier, the faster the electron transfer.

These quantities relate through:

\[ \Delta G^{\dagger} = \frac{(\lambda + \Delta G_0)^2}{4\lambda} \]

and the rate of transfer is expressed as:

\[ k_{CT} = \frac{2\pi}{\hbar}\frac{|J_{DA}|^2}{\sqrt{4\pi\lambda k_BT}}\exp\left(-\frac{\Delta G^{\dagger}}{k_BT}\right) \]

where \(J_{DA}\) represents electronic coupling between the donor and acceptor.

Using MD simulations, the researchers tracked the motion of thousands of atoms in the PSII reaction center over time. For each transfer step, they calculated the vertical energy gap, \(\Delta E = E_\text{product} - E_\text{reactant}\), at each snapshot.

By plotting the probability distributions of these energy gaps, \(P(\Delta E)\), they obtained two Gaussian curves—one for the reactant and one for the product. The separation between their centers equals twice the reorganization energy (\(2\lambda\)).

Energy gap distributions and reorganization energy relationship.

Figure 3A. The Gaussian separation of the two energy-gap distributions determines the reorganization energy, \(\lambda\).

These distributions can be converted directly into free energy parabolas using:

\[ \Delta G = -k_BT \ln[P(\Delta E)] \]

Transforming probability distributions into free energy curves.

Figure 3B. Transforming \(P(\Delta E)\) profiles into free energy curves allows direct measurement of activation barriers \(\Delta G^{\dagger}\).

This framework enabled precise determination of the activation energy barriers for all charge transfer steps in both PSII branches.


Results: Pinpointing the Blockade

The Active D1 Branch — A Smooth Ride

First, the analysis focused on the D1 branch, where electron flow is well-established.

Probability distributions and free energy parabolas for D1 branch charge transfer steps.

Figure 4. Energy-gap distributions and free-energy curves for the D1 branch’s three charge-transfer steps: Step 1 (\(Chl_{D1} \rightarrow Pheo_{D1}\)), Step 2 (\(Chl_{D1}^+ \rightarrow P_{D1}^+\)), Step 3 (\(Pheo_{D1}^- \rightarrow Q_A^-\)).

Their calculations yielded the following activation barriers:

StepProcessActivation Barrier (\( \Delta G^{\dagger} \))
1\(Chl_{D1} \rightarrow Pheo_{D1}\)0.073 eV
2Hole transfer \(Chl_{D1}^+ \rightarrow P_{D1}^+\)0.058 eV
3\(Pheo_{D1}^- \rightarrow Q_A^-\)0.13 eV

These low barriers explain the branch’s remarkable charge conductivity—the energetic landscape is smooth, like a gentle slope that electrons can slide down easily.

The Silent D2 Branch — Hitting a Wall

Applying the same analysis to the D2 branch exposed the problem.

Energy-gap distributions and free energy parabolas for D2 branch.

Figure 5. Energy-gap distributions for the D2 branch. While the first two steps mirror the D1 branch, step 3 reveals a significant barrier.

StepProcessActivation Barrier (\( \Delta G^{\dagger} \))
1\(Chl_{D2} \rightarrow Pheo_{D2}\)0.063 eV
2Hole transfer \(Chl_{D2}^+ \rightarrow P_{D2}^+\)0.061 eV
3\(Pheo_{D2}^- \rightarrow Q_B^-\)0.24 eV

The first two steps posed no difficulty, but the third—the electron’s final transfer to the quinone \(Q_B\)—hit an energetic wall twice as high as the corresponding step in D1.

To refine this result, the researchers performed quantum mechanical (QM) calculations to include detailed protein–cofactor interactions.

Quantum mechanical comparison of activation barriers for D1 and D2 branches.

Figure 6. QM-derived activation barriers for the rate-determining step. The D2 branch barrier is roughly 0.4 eV higher than D1.

The QM results showed the barrier in D2 is roughly 0.4 eV higher than in D1. Given that thermal energy at room temperature is only about 0.025 eV, this barrier essentially blocks charge transfer—like an enormous wall the electron can’t climb.


Energetic Barriers Become Electrical Resistance

An electron that cannot easily hop between cofactors will behave like a poor electrical conductor. To visualize this, the team modeled the current–voltage (I–V) characteristics of both branches, applying virtual voltages to each end of the molecular circuit.

Electrical setup and I–V characteristics for D1 and D2 branches.

Figure 7. (A–B) Schematic setup for voltage application to the molecular circuits of D1 and D2 branches. (C) Current–voltage characteristics showing drastically lower current for the D2 branch (red) compared to D1 (blue).

For the same applied voltage, the current in the D2 branch was far lower than in D1. The derived resistances indicated that D2 is roughly two orders of magnitude more resistive—a clear electrical analogue of the energy blockade.

This perfect correlation between energetic and kinetic data paints a clear picture: the D2 branch’s failure to conduct charge stems directly from its unfavorable energy landscape.


Nature’s Design: The Purpose of the Broken Wire

The study resolves a longstanding enigma about the structure of PSII. Despite its visual symmetry, the D1 and D2 branches behave fundamentally differently:

  1. The bottleneck appears only at Step 3, the quinone transfer stage.
  2. The D2 activation barrier is ~0.4 eV higher, making electron transfer thermally inaccessible.
  3. This translates into massive electrical resistance, marking the D2 branch as essentially nonconductive.

These differences likely arise from subtle variations in the local protein environment—differences in amino acid composition, electrostatic fields, and solvation patterns surrounding the cofactors. Nature uses these fine-tuned energetic asymmetries to enforce directionality in charge flow, ensuring that electron transport proceeds along just one efficient path.

In other words, the D2 branch’s inactivity isn’t a design flaw—it’s a feature. By intentionally “breaking” one of the wires, nature ensures unidirectional energy flow and stability in PSII’s complex photochemistry.

Understanding this mechanism provides deeper insight not only into the inner workings of photosynthesis but also into strategies for designing artificial photosynthetic systems and bio-inspired solar energy devices. It’s a fascinating reminder that symmetry in structure does not always mean symmetry in function—and that sometimes, nature’s most elegant designs include a deliberate imbalance.