Mechanistic Insights on Chlorophyll Aggregation in Plant Thylakoid Membranes

K. The CLA molecules dynamically form and break CLA dimers and higher-order aggregates. The contact lifetime and waiting time distributions of CLA dimers exhibit the coexistence of the fast and slow time scales. The survival probability of CLA dimers follows a non-exponential decay with multiple residence time scales and a time-dependent rate, unlike conventional rate theory, manifesting the emergence of disorder. Markov state modeling using an autoencoder-derived latent representation of pairwise distances among CLAs results in three discrete interconvertible metastable states with different conformational distributions during the aggregation process. The mean first-passage times between Markov states of different conformations are slower than the longest residence time of the dimers. This demonstrates that these transitions represent the slowest kinetic processes during aggregation. Our results provide the underlying mechanism of membrane-bound chlorophyll aggregation, which will have useful applications in photodynamic therapy and artificial photosynthetic materials in the future.

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Publication Details

Journal
ChemPhysChem
Published
2026-04-25
DOI
https://doi.org/10.1002/cphc.202500645
Primary Topic
Photosynthetic Processes and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

Mechanistic Insights on Chlorophyll Aggregation in Plant Thylakoid Membranes

Avinash Garg, Ananya Debnath, Renu Saini
ChemPhysChem
Photosynthetic Processes and Mechanisms
article

Mechanistic Insights on Chlorophyll Aggregation in Plant Thylakoid Membranes

Avinash Garg, Ananya Debnath, Renu Saini
article en

Abstract

K. The CLA molecules dynamically form and break CLA dimers and higher-order aggregates. The contact lifetime and waiting time distributions of CLA dimers exhibit the coexistence of the fast and slow time scales. The survival probability of CLA dimers follows a non-exponential decay with multiple residence time scales and a time-dependent rate, unlike conventional rate theory, manifesting the emergence of disorder. Markov state modeling using an autoencoder-derived latent representation of pairwise distances among CLAs results in three discrete interconvertible metastable states with different conformational distributions during the aggregation process. The mean first-passage times between Markov states of different conformations are slower than the longest residence time of the dimers. This demonstrates that these transitions represent the slowest kinetic processes during aggregation. Our results provide the underlying mechanism of membrane-bound chlorophyll aggregation, which will have useful applications in photodynamic therapy and artificial photosynthetic materials in the future.

ChemPhysChemVol. 27(8)
Indian Institute of Technology Jodhpur (IN)
Council of Scientific and Industrial Research, India
Openalex Percentile: Top 8%
Photosynthetic Processes and Mechanisms
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