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Summary Abscisic acid (ABA) receptors belong to theSTARTdomain superfamily, which encompasses ligand‐binding proteins present in all kingdoms of life.STARTdomain proteins contain a central binding pocket that, depending on the protein, can couple ligand binding to catalytic, transport or signaling functions. In Arabidopsis, the best characterizedSTARTdomain proteins are the 14PYR/PYL/RCAR ABAreceptors, while the other members of the superfamily do not have assigned ligands. To address this, we used affinity purification of biotinylated proteins expressed transiently inNicotiana benthamianacoupled to untargetedLC‐MSto identify candidate binding ligands. We optimized this method usingABA–PYLinteractions and show thatABAco‐purifies with wild‐typePYL5 but not a binding site mutant. TheKdofPYL5 forABAis 1.1 μm, which suggests that the method has sufficient sensitivity for many ligand–protein interactions. Using this method, we surveyed a set of 37STARTdomain‐related proteins, which resulted in the identification of ligands that co‐purified withMLBP1 (At4G01883) orMLP165 (At1G35260). Metabolite identification and the use of authentic standards revealed thatMLBP1 binds to monolinolenin, which we confirmed using recombinantMLBP1. Monolinolenin also co‐purified withMLBP1 purified from transgenic Arabidopsis, demonstrating that the interaction occurs in a native context. Thus, deployment of this relatively simple method allowed us to define a protein–metabolite interaction and better understand protein–ligand interactions in plants.
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Unusually broad-spectrum small-molecule sensing using a single protein scaffold
Small-molecule sensing in plants is dominated by chemical-induced dimerization modules. In the abscisic acid (ABA) system, allosteric receptors recruit phosphatase effectors and achieve nM in vivo responses from µM receptor–ligand interactions. This sensitivity amplification could enable ABA receptors to serve as generic scaffolds for designing small-molecule sensors. To test this, we screened collections of mutant ABA-receptors against 2,726 drugs and other ligands and identified 553 sensors for 6.6% of these ligands. The mutational patterns indicate strong selection for ligand-specific binding pockets. We used these data to develop a sensor design pipeline and isolated sensors for multiple plant natural products, 2,4,6-trinitrotoluene (TNT), and “forever” per- and polyfluoroalkyl substances (PFAS). Thus, the ABA sensor system enables design and isolation of small-molecule sensors with broad chemical scope and antibody-like simplicity.
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- Award ID(s):
- 2215705
- PAR ID:
- 10653747
- Publisher / Repository:
- Proceedings of the National Academy of Sciences
- Date Published:
- Journal Name:
- Proceedings of the National Academy of Sciences
- Volume:
- 122
- Issue:
- 51
- ISSN:
- 0027-8424
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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