Proximity labeling of protein complexes and cell type-specific organellar proteomes in Arabidopsis enabled by TurboID

  1. Andrea Mair
  2. Shou-ling Xu
  3. Tess C Branon
  4. Alice Y Ting
  5. Dominique C Bergmann  Is a corresponding author
  1. Stanford University, United States
  2. Carnegie Institution for Science, United States

Abstract

Defining specific protein interactions and spatially or temporally restricted local proteomes improves our understanding of all cellular processes, but obtaining such data is challenging, especially for rare proteins, cell types, or events. Proximity labeling enables discovery of protein neighborhoods defining functional complexes and/or organellar protein compositions. Recent technological improvements, namely two highly active biotin ligase variants (TurboID and miniTurbo), allowed us to address two challenging questions in plants: (1) what are in vivo partners of a low abundant key developmental transcription factor and (2) what is the nuclear proteome of a rare cell type? Proteins identified with FAMA-TurboID include known interactors of this stomatal transcription factor and novel proteins that could facilitate its activator and repressor functions. Directing TurboID to stomatal nuclei enabled purification of cell type- and subcellular compartment-specific proteins. Broad tests of TurboID and miniTurbo in Arabidopsis and N. benthamiana and versatile vectors enable customization by plant researchers.

Data availability

MS data have been depositedProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository (Vizcaino et al. 2013) and can be accessed through a reviewer account.Proximity labeling datasest:Dataset identifier: PXD013596FAMA-CFP AP-MS datasets:Dataset identifier: PXD013595

The following data sets were generated

Article and author information

Author details

  1. Andrea Mair

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2492-4318
  2. Shou-ling Xu

    Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
    Competing interests
    No competing interests declared.
  3. Tess C Branon

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    No competing interests declared.
  4. Alice Y Ting

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8277-5226
  5. Dominique C Bergmann

    Department of Biology, Stanford University, Stanford, United States
    For correspondence
    bergmann@stanford.edu
    Competing interests
    Dominique C Bergmann, Reviewing editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0873-3543

Funding

Howard Hughes Medical Institute

  • Dominique C Bergmann

Austrian Science Fund (J4019-B29)

  • Andrea Mair

National Institutes of Health (RO1-CA186568)

  • Alice Y Ting

Carnegie Institution of Washington

  • Shou-ling Xu

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Frank LH Menke, The Sainsbury Laboratory, United Kingdom

Version history

  1. Received: April 22, 2019
  2. Accepted: September 15, 2019
  3. Accepted Manuscript published: September 19, 2019 (version 1)
  4. Version of Record published: October 14, 2019 (version 2)
  5. Version of Record updated: September 28, 2020 (version 3)

Copyright

© 2019, Mair et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 40,032
    views
  • 4,678
    downloads
  • 167
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Andrea Mair
  2. Shou-ling Xu
  3. Tess C Branon
  4. Alice Y Ting
  5. Dominique C Bergmann
(2019)
Proximity labeling of protein complexes and cell type-specific organellar proteomes in Arabidopsis enabled by TurboID
eLife 8:e47864.
https://doi.org/10.7554/eLife.47864

Share this article

https://doi.org/10.7554/eLife.47864

Further reading

    1. Plant Biology
    Ivan Kulich, Julia Schmid ... Jiří Friml
    Research Article

    Root gravitropic bending represents a fundamental aspect of terrestrial plant physiology. Gravity is perceived by sedimentation of starch-rich plastids (statoliths) to the bottom of the central root cap cells. Following gravity perception, intercellular auxin transport is redirected downwards leading to an asymmetric auxin accumulation at the lower root side causing inhibition of cell expansion, ultimately resulting in downwards bending. How gravity-induced statoliths repositioning is translated into asymmetric auxin distribution remains unclear despite PIN auxin efflux carriers and the Negative Gravitropic Response of roots (NGR) proteins polarize along statolith sedimentation, thus providing a plausible mechanism for auxin flow redirection. In this study, using a functional NGR1-GFP construct, we visualized the NGR1 localization on the statolith surface and plasma membrane (PM) domains in close proximity to the statoliths, correlating with their movements. We determined that NGR1 binding to these PM domains is indispensable for NGR1 functionality and relies on cysteine acylation and adjacent polybasic regions as well as on lipid and sterol PM composition. Detailed timing of the early events following graviperception suggested that both NGR1 repolarization and initial auxin asymmetry precede the visible PIN3 polarization. This discrepancy motivated us to unveil a rapid, NGR-dependent translocation of PIN-activating AGCVIII kinase D6PK towards lower PMs of gravity-perceiving cells, thus providing an attractive model for rapid redirection of auxin fluxes following gravistimulation.

    1. Plant Biology
    Daniel S Yu, Megan A Outram ... Simon J Williams
    Research Article

    Plant pathogens secrete proteins, known as effectors, that function in the apoplast or inside plant cells to promote virulence. Effector recognition by cell-surface or cytosolic receptors results in the activation of defence pathways and plant immunity. Despite their importance, our general understanding of fungal effector function and recognition by immunity receptors remains poor. One complication often associated with effectors is their high sequence diversity and lack of identifiable sequence motifs precluding prediction of structure or function. In recent years, several studies have demonstrated that fungal effectors can be grouped into structural classes, despite significant sequence variation and existence across taxonomic groups. Using protein X-ray crystallography, we identify a new structural class of effectors hidden within the secreted in xylem (SIX) effectors from Fusarium oxysporum f. sp. lycopersici (Fol). The recognised effectors Avr1 (SIX4) and Avr3 (SIX1) represent the founding members of the Fol dual-domain (FOLD) effector class, with members containing two distinct domains. Using AlphaFold2, we predicted the full SIX effector repertoire of Fol and show that SIX6 and SIX13 are also FOLD effectors, which we validated experimentally for SIX6. Based on structural prediction and comparisons, we show that FOLD effectors are present within three divisions of fungi and are expanded in pathogens and symbionts. Further structural comparisons demonstrate that Fol secretes effectors that adopt a limited number of structural folds during infection of tomato. This analysis also revealed a structural relationship between transcriptionally co-regulated effector pairs. We make use of the Avr1 structure to understand its recognition by the I receptor, which leads to disease resistance in tomato. This study represents an important advance in our understanding of Fol-tomato, and by extension plant–fungal interactions, which will assist in the development of novel control and engineering strategies to combat plant pathogens.