CSO – A sequence optimization software for engineering chloroplast expression in Chlamydomonas reinhardtii

Context-dependent antisense transcription from a neighboring gene interferes with the expression of mNeonGreen as a functional in vivo fluorescent reporter in the chloroplast of Chlamydomonas reinhardtii

Advancing chloroplast genetic engineering in Chlamydomonas reinhardtii remains challenging, decades after its first successful transformation. This study introduces the development of a chloroplast-optimized mNeonGreen fluorescent reporter, enabling in vivo observation through a sixfold increase in fluorescence via context-aware construct engineering. Our research highlights the influence of transcriptional readthrough and antisense mRNA pairing on post-transcriptional regulation, pointing to novel strategies for optimizing heterologous gene expression. We further demonstrate the applicability of these insights using an accessible experimentation system using glass-bead transformation and reestablishment of photosynthesis using psbH mutants, focusing on the mitigation of transcriptional readthrough effects. By characterizing heterologous expression using regulatory elements such as PrrnS, 5'atpA, and 3' rbcL in a sense-transcriptional context, we further documented up to twofold improvement in fluorescence levels. Our findings contribute new tools for molecular biology research in the chloroplast and evidence fundamental gene regulation processes that could enable the development of more effective chloroplast engineering strategies. This work not only paves the way for more efficient genetic engineering of chloroplasts but also deepens our understanding of the regulatory mechanisms at play.

Mechanisms governing codon usage bias and the implications for protein expression in the chloroplast of Chlamydomonas reinhardtii

Chloroplasts possess a considerably reduced genome that is decoded via an almost minimal set of tRNAs. These features make an excellent platform for gaining insights into fundamental mechanisms that govern protein expression. Here, we present a comprehensive and revised perspective of the mechanisms that drive codon selection in the chloroplast of Chlamydomonas reinhardtii and the functional consequences for protein expression. In order to extract this information, we applied several codon usage descriptors to genes with different expression levels. We show that highly expressed genes strongly favor translationally optimal codons, while genes with lower functional importance are rather affected by directional mutational bias. We demonstrate that codon optimality can be deduced from codon-anticodon pairing affinity and, for a small number of amino acids (leucine, arginine, serine, and isoleucine), tRNA concentrations. Finally, we review, analyze, and expand on the impact of codon usage on protein yield, secondary structures of mRNA, translation initiation and termination, and amino acid composition of proteins, as well as cotranslational protein folding. The comprehensive analysis of codon choice provides crucial insights into heterologous gene expression in the chloroplast of C. reinhardtii, which may also be applicable to other chloroplast-containing organisms and bacteria.

Harnessing the Algal Chloroplast for Heterologous Protein Production

Photosynthetic microbes are gaining increasing attention as heterologous hosts for the light-driven, low-cost production of high-value recombinant proteins. Recent advances in the manipulation of unicellular algal genomes offer the opportunity to establish engineered strains as safe and viable alternatives to conventional heterotrophic expression systems, including for their use in the feed, food, and biopharmaceutical industries. Due to the relatively small size of their genomes, algal chloroplasts are excellent targets for synthetic biology approaches, and are convenient subcellular sites for the compartmentalized accumulation and storage of products. Different classes of recombinant proteins, including enzymes and peptides with therapeutical applications, have been successfully expressed in the plastid of the model organism Chlamydomonas reinhardtii, and of a few other species, highlighting the emerging potential of transplastomic algal biotechnology. In this review, we provide a unified view on the state-of-the-art tools that are available to introduce protein-encoding transgenes in microalgal plastids, and discuss the main (bio)technological bottlenecks that still need to be addressed to develop robust and sustainable green cell biofactories.