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Functions of a New Photoreceptor Membrane

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Oesterhelt, Dieter, Stoeckenius, Walther·1973·Proceedings of the National Academy of Sciences

Abstract

The purple membrane of Halobacterium halobium contains only one protein, bacteriorhodopsin, which closely resembles the visual pigments of animals. Light flashes cause a rapid transient shift of its absorption maximum from 560 to 415 nm. This shift is accompanied by release and uptake of protons. Respiring cells acidify the medium in the dark; if they contain purple membrane their O 2 consumption is reduced in the light. Starved or anaerobic cells containing purple membrane, in the absence of any apparent source of energy, generate and maintain a proton gradient across the cell membrane as long as they are exposed to light. We postulate that the light-generated proton gradient arises from a vectorial release and uptake of protons by bacteriorhodopsin, which is suitably oriented in the cell membrane and under continuous illumination oscillates rapidly between the long- and short-wavelength form. Preliminary results indicate that the gradient in H. halobium plays the central role in energy coupling attributed to such electrochemical gradients by Mitchell's chemiosmotic theory.

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Metadata

Authors
Oesterhelt, D., & Stoeckenius, W.
Venue
Proceedings of the National Academy of Sciences
Published
1973-10
Volume
70
Issue
10
Pages
2853-2857
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2016237935
Cited by
1,088
References
0
FWCI
12.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Functions of a New Photoreceptor Membrane. https://app.cochat.ai/papers/10.1073/pnas.70.10.2853
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Oesterhelt, D., & Stoeckenius, W. (1973). Functions of a New Photoreceptor Membrane. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.70.10.2853

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.