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Charting the signal trajectory in a light-oxygen-voltage photoreceptor by random mutagenesis and covariance analysis

Title data

Gleichmann, Tobias ; Diensthuber, Ralph P. ; Möglich, Andreas:
Charting the signal trajectory in a light-oxygen-voltage photoreceptor by random mutagenesis and covariance analysis.
In: The Journal of Biological Chemistry. Vol. 288 (11 October 2013) Issue 41 . - pp. 29345-29355.
ISSN 1083-351X
DOI: https://doi.org/10.1074/jbc.M113.506139

Project information

Project financing: Alexander von Humboldt-Stiftung
DFG

Abstract in another language

Modular signal receptors empower organisms to process environmental stimuli into adequate physiological responses. At the molecular level, a sensor module receives signals and processes the inherent information into changes of biological activity of an effector module. To better understand the molecular bases underpinning these processes, we analyzed signal reception and processing in the dimeric light-oxygen-voltage (LOV) blue light receptor YF1 that serves as a paradigm for the widespread Per-ARNT-Sim (PAS) signal receptors. Random mutagenesis identifies numerous YF1 variants in which biological activity is retained but where light regulation is abolished or inverted. One group of variants carries mutations within the LOV photosensor that disrupt proper coupling of the flavin-nucleotide chromophore to the protein scaffold. Another larger group bears mutations that cluster at the dyad interface and disrupt signal transmission to two coaxial coiled-coils that connect to the effector. Sequence covariation implies wide conservation of structural and mechanistic motifs, as also borne out by comparison to several PAS domains in which mutations leading to disruption of signal transduction consistently map to confined regions broadly equivalent to those identified in YF1. Not only do these data provide insight into general mechanisms of signal transduction, but also they establish concrete means for customized reprogramming of signal receptors.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: PubMed-ID: 20835487
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry > Chair Biochemistry - Univ.-Prof. Dr. Andreas Möglich
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Professorship Biochemistry
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Chair Biochemistry
Result of work at the UBT: No
DDC Subjects: 500 Science > 540 Chemistry
Date Deposited: 19 May 2015 07:01
Last Modified: 19 May 2015 07:01
URI: https://eref.uni-bayreuth.de/id/eprint/13594