Contribution of low-temperature single-molecule techniques to structural issues of pigment-protein complexes from photosynthetic purple bacteria

Löhner, A., Cogdell, R. and Köhler, J. (2018) Contribution of low-temperature single-molecule techniques to structural issues of pigment-protein complexes from photosynthetic purple bacteria. Journal of the Royal Society: Interface, 15(138), 20170680. (doi: 10.1098/rsif.2017.0680) (PMID:29321265)

Abstract

As the electronic energies of the chromophores in a pigment-protein complex are imposed by the geometrical structure of the protein, this allows the spectral information obtained to be compared with predictions derived from structural models. Thereby, the single-molecule approach is particularly suited for the elucidation of specific, distinctive spectral features that are key for a particular model structure, and that would not be observable in ensemble-averaged spectra due to the heterogeneity of the biological objects. In this concise review, we illustrate with the example of the light-harvesting complexes from photosynthetic purple bacteria how results from low-temperature single-molecule spectroscopy can be used to discriminate between different structural models. Thereby the low-temperature approach provides two advantages: (i) owing to the negligible photobleaching, very long observation times become possible, and more importantly, (ii) at cryogenic temperatures, vibrational degrees of freedom are frozen out, leading to sharper spectral features and in turn to better resolved spectra.

• Item Type: Articles
• Keywords: Low-temperature, photosynthetic purple bacteria, pigment–protein complexes, single-molecule.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Cogdell, Professor Richard
• Authors: Löhner, A., Cogdell, R., and Köhler, J.
• College/School: College of Medical Veterinary and Life Sciences > School of Molecular Biosciences
• Journal Name: Journal of the Royal Society: Interface
• Publisher: The Royal Society
• ISSN: 1742-5689
• ISSN (Online): 1742-5662
• Published Online: 10 January 2018