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bioRxiv2026

A deep genetic structure phylogenomically frames the closest algal relatives of land plants

To discern the nature of the closest streptophyte algal relatives of land plants (embryophytes) is a major question in the field of plant evolutionary biology; discerning that nature is essential for our ability to infer the last common ancestor of embryophytes and algae, allowing to retrace the adaptations that ushered in the conquest of land by plants. Albeit initially coming as a surprise, all major phylogenomic efforts have concluded that the Zygnematophyceae are the algal sisters to land plants1-6. The Zygnematophyceae are the streptophyte algal class with the greatest species richness7 and while we now have ample genome information on a few select members of zygnematophytes8-13, our understanding of the genetic and genomic divergence as well as potential is limited by a lack of phylodiverse data that accounts for this diversity and integrates it into a phylogenomic framework. We here sequenced 43 new transcriptome datasets for the Zygnematophyceae and built a phylogenomic tree based on a total of 104 zygnematophyceaen transcriptomes and 2243 loci. We recover a deep genetic structure for the Zygnematophyceae, revealing that this algal class is ancient. Despite the deep split between Spirogyrales and their unicellular sister group Desmidiales, most Spirogyrales emerged after pronounced genetic divergence, accommodating the attainment of multicellularity and divergent traits such as unique cell and plastid division13. Overall, our data capture signatures of massive ancient radiations. Zygnematophyceae are characterized by deep genetic divergences that necessitated a phylodiverse sampling to be revealed, together with their vast evolutionary history, and to illuminate the nature of the algal progenitors of land plants.

evolutionary biology↗

bioRxiv2024

Single-Cell RNA-seq based elucidation of the antidepressant hyperforin biosynthesis de novo in St. John's wort.

Hyperforin is the compound responsible for the effectiveness of St. Johns wort (Hypericum perforatum) as an antidepressant, but its biosynthesis remains unknown. Gene discovery based on co-expression analysis of bulk RNA-sequencing data or genome mining failed to discover the missing steps in hyperforin biosynthesis. Here we sequenced the tetraploid H. perforatum genome. By single-cell RNA-seq, we identified a distinct type of cells, Hyper cells, wherein hyperforin biosynthesis de novo takes place. Through pathway reconstitution in yeast and tobacco, we identify and characterize four transmembrane prenyltransferases to resolve hyperforin biosynthesis. The hyperforin polycyclic scaffold is created by a reaction cascade involving an irregular isoprenoid coupling and a tandem cyclization. Our findings reveal how and where hyperforin is biosynthesized that enables synthetic-biology reconstitution of the complete pathway. These results deepen our comprehension of specialized metabolism at the cellular level, and we anticipate acceleration of pathway elucidation in plant metabolism.

plant biology↗

bioRxiv2024

The coordination of cell proliferation and cell-division orientation controls Arabidopsis radial style development

The biological mechanisms responsible for correct shape acquisition at the apex of the female reproductive organ--the gynoecium-- remain poorly understood, despite its fundamental importance for successful plant reproduction and seed production. This process involves a rare bilateral-to-radial symmetry transition in Arabidopsis thaliana, orchestrated in part by the transcription factor SPATULA (SPT). Here, we show that SPT negatively controls cell proliferation, promoted by the hormone cytokinin, to enhance the robustness of cell-division orientation by orchestrating a coherent feed-forward loop that converges on the cell-cycle regulators CYCLIN-P3;1 (CYCP3;1) and CYCP3;2. While cytokinin induces both P-type cyclins, SPT represses their expression. Overexpression of CYCP3s disrupts style radial symmetry, causing the split-style phenotype and hypersensitivity to cytokinin observed in the spt mutant. Finally, we demonstrate a genetic link connecting the machinery of cell-division orientation, controlled by auxin, with the cell-proliferation input induced by cytokinin. Thus, our work reveals how the antagonistic auxin-cytokinin interaction scales up symmetry from the cellular to the organ level. TeaserRadial shape acquisition at the top of the plant female reproductive organ requires repression of CYCLIN-P3;1 and CYCLIN-P3;2.

plant biology↗

bioRxiv2020

CRISPR-Cas9 integrates exogeneous sorting new recombinant DNA in the model tree Populus trichocarpa

CRISPR-mediated genome editing has become a powerful tool for genetic modification of biological traits. However, developing an efficient, site-specific, gene knock-in system based on homology-directed DNA repair (HDR) remains a significant challenge in plants, especially in woody species like poplar. Here, we show that simultaneous inhibition of non-homologous end joining (NHEJ) recombination cofactor XRCC4 and overexpression of HDR enhancer factors CtIP and MRE11 can improve the HDR efficiency for gene knock-in. Using this approach, the BleoR gene was integrated onto the 3' end of the MKK2 MAP Kinase gene to generate a BleoR-MKK2 fusion protein. Based on exogenous BleoR expression, the HDR-mediated knock-in efficiency was up to [~]40-fold greater when using a XRCC4 silencing incorporated with a combination of CtIP and MRE11 overexpression compared to no HDR enhancement or NHEJ silencing. Furthermore, this corporation of HDR enhancer overexpression and NHEJ repression also resulted in 7-fold fewer CRISPR-induced Insertions and Deletions (InDels), resulting in no functional effects on MKK2-based salt stress responses in poplar. Therefore, this approach may be useful not only in poplar and plants or crops but also in mammalians for improving CRISPR-mediated gene knock-in efficiency.

plant biology↗

bioRxiv2024

Single-cell proteomics of Arabidopsis leaf mesophyll identifies drought stress-related proteins

The application of single-cell omics tools to biological systems can provide unique insights into diverse cellular populations and their heterogeneous responses to internal and external perturbations. Thus far, most single-cell studies in plant systems have been limited to RNA-sequencing approaches, which only provide indirect readouts of cellular functions. Here, we present a single-cell proteomics workflow for plant cells that integrates tape-sandwich protoplasting, piezoelectric cell sorting, nanoPOTS sample preparation, and FAIMS-based MS data acquisition method for label-free single-cell proteomics analysis of Arabidopsis leaf mesophyll cells. From a single leaf protoplast, over 3,000 proteins were quantified with high precision. The workflow is demonstrated to identify stress associated changes in protein abundance by analyzing >80 protoplasts from well-watered and water-deficit stressed plants. Additionally, we describe a new approach for constructing covarying protein networks at the single-cell level and demonstrate how single-cell protein covariation analysis can reveal previously unrecognized protein functions while also capturing stress-induced changes in protein-protein dynamics. HighlightsO_LIThis study describes the first application of scProteomics to study abiotic stress-induced proteome regulation in leaf mesophyll cells C_LIO_LIFrom a single Arabidopsis mesophyll protoplast, [~]2800 proteins on average were quantified with high precision using label free scProteomics C_LIO_LIscProteomics of water-deficit Arabidopsis leaves revealed known and novel proteins involved in drought response C_LIO_LISingle-protoplast proteomics revealed water deficit-induced changes in protein covariation networks independent of changes in abundance C_LI

plant biology↗

bioRxiv2026

ARACoFusion: Uncertainty-aware calibrated deep learning for protein-protein interaction network prediction in Arabidopsis thaliana

Accurate mapping of the Arabidopsis thaliana protein-protein interaction (PPI) network is essential for deciphering complexity of plant systems biology. Here, we present ARACoFusion, a specialized deep learning architecture designed to predict inter-protein connectivity directly from primary sequences. To capture the asymmetric dependencies between plant proteins, the framework utilizes a reciprocal cross-attention encoder combined with latent interaction projections and multi-source feature fusion. Addressing the severe class imbalance inherent in plant interactomes, the model integrates uncertainty-aware variance regularization and focal loss with label smoothing, further enhancing reliability through post-hoc probability calibration via temperature scaling. Extensive benchmarking on gold-standard Arabidopsis datasets demonstrates that ARACoFusion significantly outperforms existing plant-specific predictors, achieving superior scores in Area Under the Precision-Recall Curve (AUPRC), Balanced Accuracy, and Matthews Correlation Coefficient (MCC). Additionally, the model exhibits robust cross-species generalization and clear class separability in t-SNE latent space visualizations. To facilitate community-wide usage, we provide a dedicated web server for scalable network-level inference at https://ARAcofusion.compbiosysnbu.in/.

bioinformatics↗

bioRxiv2026

Editing Efficiency Across Crop Families: A Systematic Review and Meta-Analysis of CRISPR/SpCas9 Knockout Outcomes in Cucurbitaceae, Brassicaceae, Solanaceae and Poaceae

Reported CRISPR/SpCas9 editing efficiencies in crops span 0-100%, but no quantitative synthesis has separated taxonomic family from delivery method, ploidy, clustering or publication bias. This meta-analysis estimated pooled per-T0-line editing efficiency across Cucurbitaceae, Brassicaceae, Solanaceae and Poaceae, and tested whether family is an independent moderator after adjustment for delivery and ploidy. A PRISMA 2020 systematic review identified peer-reviewed studies using SpCas9 with extractable per-line T0 edit counts; data were extracted independently by two reviewers, with inter-rater agreement reported. Logit proportions were synthesised with a binomial-normal generalised linear mixed model, and the family-as-moderator hypothesis was tested by a small-sample CR2 cluster-robust F-test on a three-level model with study-level clustering. Publication bias was assessed by Eggers regression and trim-and-fill. Twenty-two studies contributed 172 per-line effect sizes (Cucurbitaceae k=14, Brassicaceae k=20, Solanaceae k=68, Poaceae k=70). Pooled editing efficiency was 61.8% (95% CI 54.5-68.6%) with I{superscript 2}=93.4% ({tau}{superscript 2}=3.21) and a 95% prediction interval of approximately 5-98%. Per-family estimates ranged from 47.8% (Poaceae) to 73.8% (Brassicaceae); the univariate Q test was significant (p=0.0016), but family did not survive cluster-robust adjustment (F=0.73, p=0.63). Intraclass correlation placed 64.4% of variance at the study level, and Solanaceae remained dominated by a single study (58/68 rows). Funnel asymmetry was severe (Egger p<0.0001), and trim-and-fill reduced the bias-adjusted estimate to 45.2% (95% CI 39.0-51.5%). Apparent crop-family differences dissolve once within-study clustering and methodological covariates are accounted for; the bias-adjusted pooled estimate is closer to 45% than to 62%, and reported editing efficiencies reflect study-level factors more than taxonomic family. Key MessageApparent between-family differences in CRISPR/SpCas9 editing efficiency across four crop families reflect within-study clustering and publication bias, not intrinsic biology; family is not an independent moderator after cluster-robust adjustment.

plant biology↗

bioRxiv2025

Planting 10 Million Trees with Lukenya University in Kenya: Methodology and Preliminary Observations and Forecasts

Lukenya University has recently begun implementing a Ten Million Tree Growing Initiative, as part a larger national multi-institutional country-wide tree growing program. In this paper we describe the methods used as far as tree selection and the planting itself. Note that most of the trees are not planted directly by the institution by given to farmers to plant on their land, with instruction as to how to choose a location and how to technically perform the planting and maintenance to ensure greater success for the tree and the environment surrounding it. This knowledge arises out of years of experience as far as both the biology of planting and the social interaction with smallholder farmer communities. We kept track of the survival and growth of a subsample of a number of different tree species. After about two years of operation, we performed a statistical analysis on preliminary data. We observe statistically significant advantages to survival and relative growth volume to indigenous trees and the aforementioned comprehensive instruction before plotting, among other observations we relate from the hypothesis tests performed. Finally, we present estimates of the carbon sequestration and economic value of the trees to the community. Summarizing, the paper presents a comprehensive transparent display of a tree growing initiative, a common endeavor motivated to maximize social welfare and climate change resilience, and in so doing can develop the knowledge of best practices for these purposes.

ecology↗

bioRxiv2026

Efficiency of RNAi based gene silencing in fungi - a review and meta-analysis

RNA interference (RNAi) shows great potential to protect crops against fungal diseases, yet reported protection efficiencies vary greatly, and our understanding of the factors responsible for this variance remains limited. In this meta-analysis, we evaluated 89 studies that compare the efficiency of host-induced gene silencing (HIGS) and spray-induced gene silencing (SIGS) in controlling fungal diseases, focusing on biotrophic, hemibiotrophic, and necrotrophic fungi, the use of formulations, and the dsRNA design as explanatory factors for differences between reported efficiency values. Our results indicate that SIGS is slightly more effective, particularly in biotrophs. Surprisingly, SIGS studies using formulations did not outperform those applying naked dsRNA. We also assessed parameters of RNA design. Differences in dsRNA length and the number of constructs, and number of targets showed no consistent significant effect on resistance in either HIGS or SIGS. Interestingly, however, HIGS studies reported significantly higher efficiency when targeting genes closer to the 3 end and SIGS when targeting genes closer to the 5 end. We discuss potential reasons for the reported patterns, such as variability in dsRNA uptake mechanisms, intercellular trafficking and Dicer processing, and conclude that more research is needed to understand the biological mechanisms determining RNAi efficiency for fungal control.

plant biology↗

bioRxiv2026

Molecular and spatial characterization of baicalin from Scutellaria baicalensis hairy root culture

This study presents the structural verification of baicalin isolated from a hydroethanolic extract of an in vitro Scutellaria baicalensis root culture using X-ray diffraction analysis and a set of NMR spectroscopy techniques. The crystalline molecular structure of the sample was found to correspond to baicalin. The 1H, 13C{1H}, 2D 1H1H-COSY, 1H13C-HSQC, 1H13C-HMBC spectra confirmed that the chemical shifts, signal multiplicities, integral intensities, and spin-spin coupling constants were fully consistent with the structure of the target compound. Minor impurity signals were detected in the aliphatic region of the spectra, with a total content not exceeding 5 mol%. These results confirm the high purity and structural individuality of baicalin, a biologically active flavonoid glycoside of considerable interest.

plant biology↗

bioRxiv2026

Mapping the pathway for protein secretion in the secondary endosymbiotic alga Nannochloropsis oceanica

Microalgae are key primary producers in marine ecosystems, and their interactions with the surrounding environment rely on the secretion of intracellular metabolites and macromolecules, particularly proteins, supporting essential functions such as nutrient acquisition, environmental sensing and biotic interactions. Most abundant and ecologically relevant seawater algae are secondary endosymbionts, where multiple endosymbiotic events extensively reshaped plastids and intracellular membrane systems, requiring adaptation of protein trafficking mechanisms. This study presents the identification of signal peptides that direct protein secretion in the seawater microalga Nannochloropsis oceanica. Their expression in frame with a fluorescent tag enabled to reconstruct the protein secretion pathway in this organism. Proteins channelled for export are first targeted to the periplastidial compartment, an exclusive structure of secondary endosymbiotic algae, that acts as hub for protein trafficking. Subsequently, vesicle-mediated transport directs proteins through the endoplasmic reticulum into the periplasmic space between the cell membrane and the cell wall, from where they are released upon cell division. These findings reveal an evolutionarily remodeled protein secretion pathway, in which host- and endosymbiont-derived trafficking mechanisms merged into an integrated functional system. Significance StatementThe most abundant and ecologically relevant marine algae are secondary endosymbionts whose evolution required extensive re-adaptation of multiple cellular processes. Among them, protein secretion is essential for the interaction with external environment, and required specific re-shaping to the increased cellular complexity associated with endosymbiosis. This work uncovers protein secretory pathway in the secondary endosymbiont seawater alga Nannochloropsis oceanica showing that is does not follow a direct route, but proteins are first accumulated in the periplastidial compartment, a unique structure derived from its endosymbiotic history, before being directed for secretion. The final pathway integrated components derived from both the host and endosymbiont, highlighting how evolution was able to merge different biological modules to build an integrated and functional system.

plant biology↗

bioRxiv2026

Unveiling the Epigenomic Control of Temperature Acclimation in Marine Phytoplankton through Multiomics Integration

Temperature plays a central role in marine phytoplankton biogeographical dynamics, physiology and gene expression. Nonetheless, the transcriptional regulatory mechanisms controlling temperature acclimation in marine phytoplankton are yet to be characterized. Ostreococcus tauri was chosen as a model species for green marine phytoplankton due to its cellular and genomic simplicity, as well as its evolutionary position within the green lineage. In this study, epigenomic and transcriptomic data were integrated to characterize changes induced by temperature in the trimethylation of histone 3 at lysines 27 and 4 (H3K27me3 and H3K4me3) epigenetic marks established by the Polycomb (PcG) and Trithorax group (TrxG) complexes, respectively. H3K27me3 was found to be a repressive mark responding to temperature, showing predominantly significant increased levels at high temperatures. While H3K4me3 was associated with active transcription, presenting less evident variations in cultures acclimated to different temperatures. H3K27me3 was found only marginally associated with transposable elements, being mostly involved in the repression of specific biological processes, such as gene expression control by transcription factors, meiosis, motors proteins and cytoskeletal structures. No significant conservation was found between the H3K27me3 gene targets in the model plant Arabidopsis thaliana and Ostreococcus tauri. Nonetheless, transcriptions factors belonging to the MADS-box, WRKY and AP2 families were consistently repressed by H3K27me3 in both species, unveiling that, although the specific downstream targets of this epigenetic mark have diversified during evolution, its role in modulating higher order regulatory nodes remains evolutionary conserved.

plant biology↗

bioRxiv2021

Expression of the F0F1 ATP synthase inhibitor Atp{Theta} depends on small basic DNA-binding proteins and differential mRNA stability

F0F1 ATP synthases produce ATP, the universal biological energy source. ATP synthase complexes on cyanobacterial thylakoid membranes use proton gradients generated either by photosynthesis or respiration. Atp{Theta} is an ATP synthase regulator in cyanobacteria which is encoded by the gene atpT. Atp{Theta} inhibits the hydrolysis of ATP (reverse reaction) that otherwise would occur under unfavorable conditions. In the cyanobacterium Synechocystis sp. PCC 6803, Atp{Theta} is expressed maximum in darkness but at very low levels under optimum phototrophic growth conditions or in the presence of glucose. DNA coimmunoprecipitation experiments followed by mass spectrometry identified the binding of the two transcriptional regulators cyAbrB1 and cyAbrB2 to the promoter and the histone-like protein HU to the 5UTR of atpT. Analyses of nucleotide substitutions in the promoter and GFP reporter assays identified a functionally relevant sequence motif resembling the HLR1 element bound by the RpaB transcription factor. Electrophoretic mobility shift assays confirmed interaction of cyAbrB1, cyAbrB2 and RpaB with the promoter DNA. However, overall the effect of transcriptional regulation was comparatively low. In contrast, atpT transcript stabilities differed dramatically, half-lives were 1.6 min in the light, 33 min in the dark and substantial changes were observed if glucose or DCMU were added. These findings show that basic transcriptional control of atpT involves nucleoid-associated DNA-binding proteins, positive regulation through RpaB, while the major effect on the condition-dependent regulation of atpT expression is mediated by controlling mRNA stability, which is related to the cellular redox and energy status. IMPORTANCEF0F1 ATP synthases are protein complexes that produce ATP, the universal biological energy source in all kinds of organisms. Under unfavorable conditions, ATP synthases can operate in a futile reverse reaction, pumping protons while ATP is used up. Cyanobacteria perform plant-like photosynthesis but they cannot use the same mechanism as plants that inhibit chloroplast ATP synthases entirely during the night because respiratory and photosynthetic complexes are both located in the same membrane system. Atp{Theta} is a small peptide inhibitor of the reverse ATPase function in cyanobacteria encoded by the gene atpT. The production of Atp{Theta} is highly regulated to ensure that it is only synthetized when it is needed. In the here presented work we found that three transcription factors contribute to the regulation of atpT expression. However, we identified the control of mRNA stability as the major regulatory process governing atpT expression. Thus, it is the interplay between transcriptional and posttranscriptional regulation that position the Atp{Theta}-based inhibitory mechanism within the context of the cellular redox and energy balance.

plant biology↗

bioRxiv2022

Genomic characterization of a wild-like tomato accession found in Arizona; a northward migration story

Tomato domestication history has been revealed to be a highly complex story. A major contributor to this complexity is an evolutionary intermediate group (Solanum lycopersicum var. cerasiforme (Alef.) Voss; SLC) between the cultivated tomato (Solanum lycopersicum var. lycopersicum L.; SLL) and its wild relative (Solanum pimpinellifolium L.; SP). SLC includes accessions with a broad spectrum of genomic and phenotypic characteristics. Some of the SLC accessions were previously hypothesized to be spreading northward from South America into Mesoamerica and that migration probably entailed reversal to wild-like phenotypes such as smaller fruits. Prior to this study, the northernmost confirmed extension of the SLC was limited to northern Mexico. In this study, we employed genomic methods to investigate the origin of a wild-like tomato found in a garden in Scottsdale Arizona, USA. The so-called "Arizona tomato" featured a vigorous growth habit and carried small fruits weighing 2-3 grams. Our phylogenomic analyses revealed the identity of the Arizona tomato as a member of the Mexican SLC population (SLC MEX). To our knowledge, this is the first report of an SLC accession, confirmed using genomics, growing spontaneously in Arizona. This finding could have implications for conservation biology as well as agriculture.

plant biology↗

bioRxiv2025

Investigating Cannabis sativa L. gene expression through housekeeping genes and gene coexpression networks

Cannabis sativa L. is a versatile crop with applications ranging from medicinal products to industrial materials. Despite growing interest in cannabis transcriptomics, comprehensive studies of gene expression in this species remain limited. Here, we explore cannabis transcriptomics through two complementary approaches: the identification and prioritization of housekeeping (HK) genes for qRT-PCR normalization and the construction of a genome-wide gene coexpression network (GCN) using publicly available RNA-Seq data. Based on expression stability criteria (i.e. log mean TPM [≥] 6, log variance < 0.3), we proposed the optimal HK genes and designed qRT-PCR primers for them. Primer specificity was verified in silico using the Jamaican Lion mother + Y genome. In parallel, to explore the non HK gene expression, we constructed a GCN comprising 32 coexpression modules, which was then analyzed for tissue-specific expression patterns, transcription factor (TF), and functional enrichment. Several modules were significantly correlated with cannabis tissues such as flowers and bast fibres and were linked to key processes, including photoperiod sensitivity, stress responses, and vegetative-to-reproductive phase transitions. Together, our results help understand the functions and maximize the use of HK genes in molecular biology and reveal coexpression modules that constitute critical genetic circuits underlying cannabis physiology.

plant biology↗

bioRxiv2018

An integrated transcriptomics and metabolomics analysis of the Cucurbita pepo nectary implicates key modules of primary metabolism involved in nectar synthesis and secretion

Nectar is the main reward that flowers offer to pollinators to entice repeated visitation. Cucurbita pepo (squash) is an excellent model for studying nectar biology, as it has large nectaries that produce large volumes of nectar relative to most other species. Squash is also monoecious, having both female and male flowers on the same plant, which allows comparative analyses of nectary function in one individual. Here we report the nectary transcriptomes from both female and male nectaries at four stages of floral maturation. Analysis of these transcriptomes and subsequent confirmatory experiments revealed a metabolic progression in nectaries leading from starch synthesis to starch degradation and to sucrose biosynthesis. These results are consistent with previously published models of nectar secretion and also suggest how a sucrose-rich nectar can be synthesized and secreted in the absence of active transport across the plasma membrane. Non-targeted metabolomic analyses of nectars also confidently identified 40 metabolites in both female and male nectars, with some displaying preferential accumulation in nectar of either male or female flowers. Cumulatively, this study identified gene targets for reverse genetics approaches to study nectary function, as well as previously unreported nectar metabolites that may function in plant-biotic interactions.

plant biology↗

bioRxiv2026

Aimea gen. nov. defines a novel plant-associated yeast genus in Microbotryomycetes with three novel species

Plant tissues and surfaces are among the largest microbial habitats on Earth, and commensal yeasts are common members of these communities, where they can contribute to plant-microbe interactions including the biological control of plant diseases. Here, we describe a novel genus, Aimea, of unpigmented, plant-associated basidiomycete yeasts, in the class Microbotryomycetes, and name three new species (A. erigeronia, A. cardamina, and A. sorghi) represented by four isolates from leaves and roots of multiple hosts. We characterize these taxa through analyses of metabolic requirements, tolerance to differences in osmolarity, pH, and temperature, and enzymatic activities. In parallel, we generate near-chromosome-scale hybrid genomes annotated with transcriptome data. We employ whole-genome and multilocus phylogenetic approaches to infer the placement of these species within a monophyletic clade. We use comparative genomics to examine how the gene content of these yeasts differs from that of other members of the Microbotryomycetes, including an apparent proliferation of retrotransposons. We further demonstrate the genetic transformability of these taxa using Agrobacterium tumefaciens-mediated transformation. The description of these new species, together with high-quality genome resources and a genetic transformation protocol, establishes a foundation for experimental studies of these novel plant-associated yeasts and their interactions with hosts and other microbes.

genomics↗

bioRxiv2026

PRK introns provide modular tools for enhanced transgene expression in Chlamydomonas reinhardtii

Chlamydomonas reinhardtii is an attractive chassis for photosynthetic biotechnology, but reliable nuclear transgene expression remains a major limitation. Despite advances in genetic engineering, achieving robust nuclear transgene expression in this organism remains challenging. One effective strategy is the introduction of introns into transgene sequences to trigger Intron-Mediated Enhancement (IME). Genomic sequences retaining endogenous introns often show higher expression than their intronless counterparts, as we previously observed for the phosphoribulokinase (PRK) gene. Here, we investigated the IME activity of PRK introns, using the first intron of RBCS2 (RBCS2i1), the current reference IME element in Chlamydomonas, as a benchmark. The first two PRK introns emerged as the best candidates. We assessed their IME activity using two reporter systems, two genetic backgrounds, and multiple promoter-terminator combinations, and observed enhancements up to 35-fold relative to their intronless counterparts. Finally, we validated their performance using patchoulol synthase, a challenging transgene whose expression requires introns and enables the production of the high-value sesquiterpene patchoulol. PRKi1 enabled detectable patchoulol production under conditions in which a single RBCS2i1 intron was insufficient. Overall, our results establish PRKi1 and PRKi2 as versatile, MoClo-compatible IME tools and provide a modular, Biofoundry-compatible framework for optimizing transgene expression for synthetic biology and biotechnological applications in C. reinhardtii.

plant biology↗