Establishment of Proximity-Dependent Biotinylation Approaches in Different Plant Model Systems
Authors:
- Deepanksha AroraDADeepanksha Arora
- Nikolaj B. AbelNANikolaj B. Abel
- Chen LiuCLChen Liu
- Petra Van DammePDPetra Van Damme
- Klaas YpermanKYKlaas Yperman
- Dominique EeckhoutDEDominique Eeckhout
- Lam Dai VuLVLam Dai Vu
- Jie WangJWJie Wang
- Anna TornkvistATAnna Tornkvist
- Francis ImpensFIFrancis Impens
- Barbara KorbeiBKBarbara Korbei
- Jelle Van LeeneJLJelle Van Leene
Open Access
- 25 August 2020
- journal article
- research article
- Published by Oxford University Press (OUP) in The Plant Cell
- Vol. 32 (11) , 3388-3407
Abstract
Proximity labeling is a powerful approach for detecting protein-protein interactions. Most proximity labeling techniques use a promiscuous biotin ligase or a peroxidase fused to a protein of interest, enabling the covalent biotin labeling of proteins and subsequent capture and identification of interacting and neighboring proteins without the need for the protein complex to remain intact. To date, only a few studies have reported on the use of proximity labeling in plants. Here, we present the results of a systematic study applying a variety of biotin-based proximity labeling approaches in several plant systems using various conditions and bait proteins. We show that TurboID is the most promiscuous variant in several plant model systems and establish protocols that combine mass spectrometry-based analysis with harsh extraction and washing conditions. We demonstrate the applicability of TurboID in capturing membrane-associated protein interactomes using Lotus japonicus symbiotically active receptor kinases as a test case. We further benchmark the efficiency of various promiscuous biotin ligases in comparison with one-step affinity purification approaches. We identified both known and novel interactors of the endocytic TPLATE complex. We furthermore present a straightforward strategy to identify both nonbiotinylated and biotinylated peptides in a single experimental setup. Finally, we provide initial evidence that our approach has the potential to suggest structural information of protein complexes.Keywords
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Funding Information
- European Research Council (682436, 803972)
- National Science Foundation Flanders (G009415N)
- Deutsche Forschungsgemeinschaft (INST 95/1126-2)
- VR (21679000)
- Swedish Research Council Formas (22924-000)
- Carl Trygger Foundation for Scientific Research (15:336, 17:317)
- IMBB-FORTH
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