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Exploring the Substrate Specificity of a Sugar Transporter with Biosensors and Cheminformatics

[Image: see text] Sugars will eventually be exported transporters (SWEETs) are conserved sugar transporters that play crucial roles in plant physiology and biotechnology. The genomes of flowering plants typically encode about 20 SWEET paralogs that can be classified into four clades. Clades I, II, a...

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Detalles Bibliográficos
Autores principales: Park, Jihyun, Abramowitz, Ryan G., Gwon, Sojeong, Cheung, Lily S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942192/
https://www.ncbi.nlm.nih.gov/pubmed/36719856
http://dx.doi.org/10.1021/acssynbio.2c00571
Descripción
Sumario:[Image: see text] Sugars will eventually be exported transporters (SWEETs) are conserved sugar transporters that play crucial roles in plant physiology and biotechnology. The genomes of flowering plants typically encode about 20 SWEET paralogs that can be classified into four clades. Clades I, II, and IV have been reported to favor hexoses, while clade III SWEETs prefer sucrose. However, the molecular features of substrates required for recognition by members of this family have not been investigated in detail. Here, we show that SweetTrac1, a previously reported biosensor constructed from the Clade I Arabidopsis thaliana SWEET1, can provide insight into the structural requirements for substrate recognition. The biosensor translates substrate binding to the transporter into a change in fluorescence, and its application in a small-molecule screen combined with cheminformatics uncovered 12 new sugars and their derivatives capable of eliciting a response. Furthermore, we confirmed that the wild-type transporter mediates cellular uptake of three of these species, including the diabetes drugs 1-deoxynojirimycin and voglibose. Our results show that SWEETs can recognize different furanoses, pyranoses, and acyclic sugars, illustrating the potential of combining biosensors and computational techniques to uncover the basis of substrate specificity.