A versatile protocol for purifying recombinant proteins from Nicotiana benthamiana for structural studies
Lawson, A. W.; Macha, A.; Neumann, U.; Gunkel, M.; Chai, J.; Behrmann, E.; Schulze-Lefert, P.
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Structural biology is an essential tool for understanding the molecular basis of biological processes. Although predicting protein structures by fold recognition algorithms has become increasingly powerful, especially with the integration of deep-learning approaches, experimentally resolved structures are indispensable for guiding structure-function studies and for improving modelling. However, experimental structural studies of protein complexes are still challenging, owing to, for example, the necessity for high protein concentrations and purity for downstream analyses such as cryogenic electron microscopy (cryo-EM). The use of Nicotiana benthamiana leaves as a transient expression system for recombinant proteins has become an increasingly attractive approach as the plant is inexpensive to cultivate, grows rapidly, allows fast experimental turnaround and is easily scalable compared to other established systems such as insect cell cultures. Using N. benthamiana as an expression system, we present here a robust and versatile protocol for the purification of five heterocomplexes with sizes ranging from [~]140 kDa to [~]660 kDa consisting of immunoreceptors and their associated pathogen effectors, followed by electron microscopy. The plant-based protocol was applied to verify the structure of the insect cell-derived wheat Sr35 resistosome and to co-purify and co-resolve a [~]140 kDa homodimer of the AvrSr35 effector from the fungus Puccinia graminis f sp tritici (Pgt). In several cases, only a single epitope tag is needed for complex purification, reducing complications that come with multiple epitope tags and two-step affinity purifications. We identify codon usage, signal peptide fusion, epitope tag choice and detergents as critical factors for expression and purification of recombinant protein from N. benthamiana leaves.
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