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Escherichia coli expressing chloroplast chaperones as a proxy to test heterologous Rubisco production in leaves

Lookup NU author(s): Dr Maxim KapralovORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Rubisco is a fundamental enzyme in photosynthesis and therefore for life. Efforts to improve plant Rubisco performance have been hindered by the enzymes’ complex chloroplast biogenesis requirements. New Synbio approaches, however, now allow the production of some plant Rubisco isoforms in Escherichia coli. While this enhances opportunities for catalytic improvement, there remain limitations in the utility of the expression system. Here we generate, optimize, and test a robust Golden Gate cloning E. coli expression system incorporating the protein folding machinery of tobacco chloroplasts. By comparing the expression of different plant Rubiscos in both E. coli and plastome-transformed tobacco, we show that the E. coli expression system can accurately predict high level Rubisco production in chloroplasts but poorly forecasts the biogenesis potential of isoforms with impaired production in planta. We reveal that heterologous Rubisco production in E. coli and tobacco plastids poorly correlates with Rubisco large subunit phylogeny. Our findings highlight the need to fully understand the factors governing Rubisco biogenesis if we are to deliver an efficient, low-cost screening tool that can accurately emulate chloroplast expression.


Publication metadata

Author(s): Buck S, Rhodes T, Gionfriddo M, Skinner T, Yuan D, Birch R, Kapralov MV, Whitney SM

Publication type: Article

Publication status: Published

Journal: Journal of Experimental Botany

Year: 2023

Volume: 74

Issue: 2

Pages: 664-676

Print publication date: 11/01/2023

Online publication date: 04/11/2022

Acceptance date: 31/10/2022

Date deposited: 12/07/2023

ISSN (print): 0022-0957

ISSN (electronic): 1460-2431

Publisher: Oxford University Press

URL: https://doi.org/10.1093/jxb/erac435

DOI: 10.1093/jxb/erac435

ePrints DOI: 10.57711/h1ha-0x72


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Funding

Funder referenceFunder name
CE140100015
Australian Research Council
Bill and Melinda Gates Foundation
OPP1060461

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