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Establishment of Proximity-dependent Biotinylation Approaches in Different Plant Model Systems

Deepanksha Arora, Nikolaj B. Abel, Chen Liu, Petra Van Damme, Lam Dai Vu, Anna Tornkvist, Francis Impens, Dominique Eeckhout, Alain Goossens, Geert De Jaeger, Thomas Ott, Panagiotis Moschou, Daniel Van Damme
doi: https://doi.org/10.1101/701425
Deepanksha Arora
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
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Nikolaj B. Abel
3Faculty of Biology, Cell Biology, University of Freiburg, Germany
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Chen Liu
4Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden
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Petra Van Damme
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
5Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
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Lam Dai Vu
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
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Anna Tornkvist
4Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden
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Francis Impens
6Department of Biochemistry, Ghent University, Ghent, Belgium
7VIB Center for Medical Biotechnology, Ghent, Belgium
8VIB Proteomics Core, Ghent, Belgium
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Dominique Eeckhout
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
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Alain Goossens
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
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Geert De Jaeger
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
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  • For correspondence: dadam@psb.vib-ugent.be
Thomas Ott
3Faculty of Biology, Cell Biology, University of Freiburg, Germany
9CIBSS – Centre for Integrative Biological Signalling Studies, University of Freiburg, Germany
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  • For correspondence: dadam@psb.vib-ugent.be
Panagiotis Moschou
4Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden
10Department of Biology, University of Crete, Heraklion, Greece
11Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology - Hellas, Heraklion, Greece
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  • For correspondence: dadam@psb.vib-ugent.be
Daniel Van Damme
1Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052 Ghent University, Ghent, Belgium
2VIB Center for Plant Systems Biology, Technologiepark 71, 9052 Ghent, Belgium
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  • For correspondence: dadam@psb.vib-ugent.be
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Abstract

The use of proximity-dependent biotin labelling (PDL) approaches coupled with mass spectrometry recently greatly advanced the identification of protein-protein interactions and study of protein complexation. PDL is based on the expression of a promiscuous biotin ligase (PBL), e.g. BirA* or a peroxidase fused to a bait protein of interest. In the presence of biotin as substrate, PBL enables covalent biotin labelling of proteins in the vicinity of the PBL-fused bait in vivo, allowing the subsequent capture and identification of interacting and neighbouring proteins without the need for the protein complex to remain intact during purification. To date, PDL has not been extensively used in plants. Here we present the results of a systematic multi-lab study applying a variety of PDL approaches in several plant systems under various conditions and bait proteins. We show that TurboID is the most promiscuous variant for PDL in plants and establish protocols for its efficient application. We demonstrate the applicability of TurboID in capturing membrane protein interactomes using the Lotus japonicus symbiotically active receptor kinases RLKs NOD FACTOR RECEPTOR 5 (NFR5) and LRR-RLK SYMBIOTIC RECEPTOR-KINASE (SYMRK) as test-cases. Furthermore, we benchmark the efficiency of various PBLs using the octameric endocytic TPLATE complex and compare PDL with one-step AP-MS approaches. Our results indicate that different PDL approaches in plants may differ in signal-to-noise ratio and robustness. We present a straightforward strategy to identify both non-biotinylated as well as biotinylated proteins in plants in a single experimental setup. Finally, we provide initial evidence that this technique has potential to infer structural information of protein complexes. Our methods, tools and adjustable pipelines provide a useful resource for the plant research community.

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Posted July 14, 2019.
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Establishment of Proximity-dependent Biotinylation Approaches in Different Plant Model Systems
Deepanksha Arora, Nikolaj B. Abel, Chen Liu, Petra Van Damme, Lam Dai Vu, Anna Tornkvist, Francis Impens, Dominique Eeckhout, Alain Goossens, Geert De Jaeger, Thomas Ott, Panagiotis Moschou, Daniel Van Damme
bioRxiv 701425; doi: https://doi.org/10.1101/701425
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Establishment of Proximity-dependent Biotinylation Approaches in Different Plant Model Systems
Deepanksha Arora, Nikolaj B. Abel, Chen Liu, Petra Van Damme, Lam Dai Vu, Anna Tornkvist, Francis Impens, Dominique Eeckhout, Alain Goossens, Geert De Jaeger, Thomas Ott, Panagiotis Moschou, Daniel Van Damme
bioRxiv 701425; doi: https://doi.org/10.1101/701425

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