4.7 Article Proceedings Paper

Modelling electron transfer in photosystem I: limits and perspectives

Journal

PHYSIOLOGIA PLANTARUM
Volume 166, Issue 1, Pages 73-87

Publisher

WILEY
DOI: 10.1111/ppl.12959

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Funding

  1. Fondazione Cariplo [2016-0667]
  2. S.a.C program of the CFRP (SaC2018. mkII/b)
  3. Department of Energy [DE-SC0017937]
  4. U.S. Department of Energy (DOE) [DE-SC0017937] Funding Source: U.S. Department of Energy (DOE)

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Uncovering the parameters underlying the electron transfer (ET) in photosynthetic reaction centres is of importance for understanding the molecular mechanisms underpinning their functionality. The reductive nature of most cofactors involved in photosynthetic ET makes the direct estimation of their properties difficult. Photosystem I (PSI) operates in a highly reducing regime, making the assessment of cofactor properties even more difficult. Kinetic modelling coupled to a non-adiabatic description of ET is a useful approach in overcoming this hindrance. Here we review the theory and modelling approaches that have been used in assessing parameters associated with ET reactions in PSI, with particular attention to ET reactions involving the phylloquinones and the iron-sulphur clusters. In most modelling studies, the goal is to estimate the driving force of ET, which is usually associated with the cofactor midpoint potentials. The driving force is sensitive to many factors, which define the ET rate, i.e. the reorganisation energy, the coupling with nuclear modes and the electronic matrix elements, which are explored and discussed here. The importance of an inclusive modelling of both forward and reverse ET processes is discussed and highlighted. It is shown that although estimates are indeed sensitive to the exact parameter sets employed in the modelling, a general consensus is still attained, pointing to a scenario where GA1AFX0GA1BFX0 is weakly endergonic/exergonic, respectively. It is emphasised that to further refine those estimates, it will require a joint effort between computational modelling and more wide-ranging experimental studies.

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