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Título: | Amine-recognizing domain in diverse receptors from bacteria and archaea evolved from the universal amino acid sensor |
Autor: | Cerna-Vargas, Jean Paul CSIC ORCID; Gumerov, Vadim M.; Krell, Tino CSIC ORCID; Zhulin, I.B. | Palabras clave: | Bacterial signal transduction Evolution Biogenic amines Receptors |
Fecha de publicación: | 2023 | Editor: | National Academy of Sciences (U.S.) | Citación: | Proceedings of the National Academy of Sciences of the United States of America 120 (2023) | Resumen: | Bacteria possess various receptors that sense different signals and transmit information to enable an optimal adaptation to the environment. A major limitation in microbiology is the lack of information on the signal molecules that activate receptors. Signals recognized by sensor domains are poorly reflected in overall sequence identity, and therefore, the identification of signals from the amino acid sequence of the sensor alone presents a challenge. Biogenic amines are of great physiological importance for microorganisms and humans. They serve as substrates for aerobic and anaerobic growth and play a role of neurotransmitters and osmoprotectants. Here, we report the identification of a sequence motif that is specific for amine-sensing sensor domains that belong to the Cache superfamily of the most abundant extracellular sensors in prokaryotes. We identified approximately 13,000 sensor histidine kinases, chemoreceptors, receptors involved in second messenger homeostasis and Ser/Thr phosphatases from 8,000 bacterial and archaeal species that contain the amine-recognizing motif. The screening of compound libraries and microcalorimetric titrations of selected sensor domains confirmed their ability to specifically bind biogenic amines. Mutants in the amine-binding motif or domains that contain a single mismatch in the binding motif had either no or a largely reduced affinity for amines. We demonstrate that the amine-recognizing domain originated from the universal amino acid-sensing Cache domain, thus providing insight into receptor evolution. Our approach enables precise "wet"-lab experiments to define the function of regulatory systems and therefore holds a strong promise to enable the identification of signals stimulating numerous receptors. | Versión del editor: | http://dx.doi.org/10.1073/pnas.2305837120 | URI: | http://hdl.handle.net/10261/341878 | DOI: | 10.1073/pnas.2305837120 | Identificadores: | doi: 10.1073/pnas.2305837120 issn: 1091-6490 |
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