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Bao X, Jia H, Zhang X, Tian S, Zhao Y, Li X, Lin P, Ma C, Wang P, Song CP, Zhu X. Mapping of cytosol-facing organelle outer membrane proximity proteome by proximity-dependent biotinylation in living Arabidopsis cells. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:7-23. [PMID: 38261530 DOI: 10.1111/tpj.16641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/15/2023] [Accepted: 01/09/2024] [Indexed: 01/25/2024]
Abstract
The cytosol-facing outer membrane (OM) of organelles communicates with other cellular compartments to exchange proteins, metabolites, and signaling molecules. Cellular surveillance systems also target OM-resident proteins to control organellar homeostasis and ensure cell survival under stress. However, the OM proximity proteomes have never been mapped in plant cells since using traditional approaches to discover OM proteins and identify their dynamically interacting partners remains challenging. In this study, we developed an OM proximity labeling (OMPL) system using biotin ligase-mediated proximity biotinylation to identify the proximity proteins of the OMs of mitochondria, chloroplasts, and peroxisomes in living Arabidopsis (Arabidopsis thaliana) cells. Using this approach, we mapped the OM proximity proteome of these three organelles under normal conditions and examined the effects of the ultraviolet-B (UV-B) or high light (HL) stress on the abundances of OM proximity proteins. We demonstrate the power of this system with the discovery of cytosolic factors and OM receptor candidates potentially involved in local protein translation and translocation. The candidate proteins that are involved in mitochondrion-peroxisome, mitochondrion-chloroplast, or peroxisome-chloroplast contacts, and in the organellar quality control system are also proposed based on OMPL analysis. OMPL-generated OM proximity proteomes are valuable sources of candidates for functional validation and suggest directions for further investigation of important questions in cell biology.
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Affiliation(s)
- Xinyue Bao
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Huifang Jia
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Xiaoyan Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Sang Tian
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yanming Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Xiangyun Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Ping Lin
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Chongyang Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Pengcheng Wang
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Xiaohong Zhu
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, China
- State Key Laboratory of Cotton Biology, School of Life Sciences, Henan University, Kaifeng, 475004, China
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Shi W, Stolze SC, Nakagami H, Misas Villamil JC, Saur IML, Doehlemann G. Combination of in vivo proximity labeling and co-immunoprecipitation identifies the host target network of a tumor-inducing effector in the fungal maize pathogen Ustilago maydis. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:4736-4750. [PMID: 37225161 PMCID: PMC10433927 DOI: 10.1093/jxb/erad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 05/18/2023] [Indexed: 05/26/2023]
Abstract
Plant pathogens secrete effectors, which target host proteins to facilitate infection. The Ustilago maydis effector UmSee1 is required for tumor formation in the leaf during infection of maize. UmSee1 interacts with maize SGT1 (suppressor of G2 allele of skp1) and blocks its phosphorylation in vivo. In the absence of UmSee1, U. maydis cannot trigger tumor formation in the bundle sheath. However, it remains unclear which host processes are manipulated by UmSee1 and the UmSee1-SGT1 interaction to cause the observed phenotype. Proximity-dependent protein labeling involving the turbo biotin ligase tag (TurboID) for proximal labeling of proteins is a powerful tool for identifying the protein interactome. We have generated transgenic U. maydis that secretes biotin ligase-fused See1 effector (UmSee1-TurboID-3HA) directly into maize cells. This approach, in combination with conventional co-immunoprecipitation, allowed the identification of additional UmSee1 interactors in maize cells. Collectively, our data identified three ubiquitin-proteasome pathway-related proteins (ZmSIP1, ZmSIP2, and ZmSIP3) that either interact with or are close to UmSee1 during host infection of maize with U. maydis. ZmSIP3 represents a cell cycle regulator whose degradation appears to be promoted in the presence of UmSee1. Our data provide a possible explanation of the requirement for UmSee1 in tumor formation during U. maydis-Zea mays interaction.
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Affiliation(s)
- Wei Shi
- Institute for Plant Sciences University of Cologne, D-50674 Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
| | - Sara C Stolze
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, D-50829 Cologne, Germany
| | - Hirofumi Nakagami
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, D-50829 Cologne, Germany
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, D-50829 Cologne, Germany
| | - Johana C Misas Villamil
- Institute for Plant Sciences University of Cologne, D-50674 Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
| | - Isabel M L Saur
- Institute for Plant Sciences University of Cologne, D-50674 Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
| | - Gunther Doehlemann
- Institute for Plant Sciences University of Cologne, D-50674 Cologne, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Germany
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Melkonian K, Stolze SC, Harzen A, Nakagami H. Proximity-Dependent In Vivo Biotin Labeling for Interactome Mapping in Marchantia polymorpha. Methods Mol Biol 2023; 2581:295-308. [PMID: 36413326 DOI: 10.1007/978-1-0716-2784-6_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Weak or transient protein-protein interactions (PPIs) are involved in a manifold of cellular processes in all living organisms, including plants. However, many of these interactions may remain undiscovered by co-immunoprecipitation (Co-IP) approaches due to their low binding affinities or transitory nature. Enzyme-mediated proximity-dependent in vivo biotin labeling can be a powerful strategy to efficiently capture weak and transient PPIs and has been successfully applied in different model angiosperm species. Here, we provide an optimized and robust protocol for biotin ligase-mediated proximity labeling for interactome mapping in the model liverwort Marchantia polymorpha.
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Affiliation(s)
- Katharina Melkonian
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Sara Christina Stolze
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Anne Harzen
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hirofumi Nakagami
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Cologne, Germany.
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany.
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