Curated Optogenetic Publication Database

Abstract: Regulation of gene transcription based on clustered regularly interspaced short palindromic repeats (CRISPR) is a powerful tool for constructing synthetic gene circuits in Saccharomyces cerevisiae. The current CRISPR-based regulatory approaches primarily focus on inhibiting the binding of dCas9 protein to single guide RNA (sgRNA) or blocking target site recognition. However, these regulation strategies are often at a single level, and their sensitivity still needs to be improved. In this study, the gene regulatory approaches at the translational and post-translational levels were integrated with optogenetic control patterns to attain very sensitive multi-level precision regulation of the dCas9 protein, thereby facilitating flexible regulation of transcription levels of target genes. This strategy was used to regulate the transcription levels of fluorescent proteins, resulting in up to 2.58-fold increase in the fluorescence intensity of mCherry compared to that without regulation. This CRISPR-based multi-level optogenetic system should be extremely helpful in understanding gene regulatory networks and in designing robust genetic circuits for synthetic biology.

Abstract: Here we introduce OpenEvo, a fully open-source, low-cost turbidostat platform for automated continuous culture and directed evolution experiments. Existing tools are expensive, complex, or lack open-source hardware; OpenEvo addresses this gap with a complete, fully automated evolution platform with detailed, illustrated construction instructions for beginners, open-source software and firmware, priced around $300. An optional PC-based interface offers enhanced functionality, including remote access, programmable evolution cycles, programmable LED stimulation, and a data visualization tool. OpenEvo can cycle through three types of media for positive, negative, and neutral selection conditions, supporting a wide range of experimental designs. We validate the use of OpenEvo by evolving Haloferax volcanii to grow from 15% to 12% salt over ~150 cycles, ~1,000 hours. Evolved cells grew 55% faster than wild-type at 12% salt. Whole-genome sequencing of adapted cells found SNPs and large deletions. We also demonstrate positive and negative selection using the OpenEvo LEDs to drive optogenetics via a Phytochrome B-based optogenetic tool, with light as the selection stimulus during over 4000 hours of growth. OpenEvo lowers the technical and cost barriers for continuous evolution experiments, serves as a teaching tool, and is designed to grow an open community of users who share modifications.

Abstract: Optoswitches are of particular interest to the metabolic engineering community, as light has a superior advantage of tunability and reversibility. However, the light-shading effect at industrial scales remains an unsolved challenge. Here, we report optogenetic quorum-sensing (OptoQS) circuits to induce and maintain a sustained gene expression at the population level by transient light stimulation. In particular, we reprogram the pheromone-responsive G-protein coupled receptor (GPCR) signaling cascade in Saccharomyces cerevisiae to effectively record transient light inputs. Once the transient light input is recorded as a form of α-factor accumulation, the surrogate messenger can diffuse and transmit the signal across the cell population. Eventually, we successfully demonstrated the utility of the OptoQS circuit for metabolic regulation of 3-hydroxypropionate biosynthesis. Based on the promising results from OptoQS circuits, we envision that the flexibility of our design might be explored for the future fabrication of various genetic circuits to record other transient physical stimuli.

Abstract: Optogenetics which involves the use of light to control cell functions on a genetic level has found utility in studying cell physiology, biomaterials and metabolic engineering. S. cerevisiae is an industrially relevant model organism that is used in many applications, but due to the large number of genes required and issues relating to cross-activation between different colours, optogenetics for different wavelengths of light have not been multiplexed in S. cerevisiae. In this paper, we develop a compact red light responsive optogenetic system for S. cerevisiae that requires only a single gene and no exogenous cofactors. Through engineering modular protein domains, we reduce the cross-activation of our system by blue light. We integrate our red light optogenetic system with EL222 blue light optogenetics to establish dual channel optogenetics in S. cerevisiae and demonstrate its utility for engineering biology through the light-based control of flavonoid luteolin synthesis and flocculation for ease of product extraction. We also demonstrate our system's potential for the development of living materials by producing dual-coloured optogenetic patterns using S. cerevisiae. This work expands optogenetic applications in S. cerevisiae from single-light to multi-light systems, introducing the potential to multiplex different colours of light for dynamic, orthogonal control of separate cell processes.

Abstract: Dynamic metabolic engineering enables temporal redirection of microbial metabolism from biomass production to product synthesis. Here, we show that optogenetic control of protein kinase A (PKA) activity via light-regulated modulation of intracellular cyclic AMP (cAMP) levels can enhance heterologous production of β-carotene and cordycepin in Saccharomyces cerevisiae. To enable exclusive, glucose-independent control of cAMP synthesis, the photoactivatable adenylyl cyclase bPAC from Beggiatoa sp. was introduced into cells lacking the endogenous adenylyl cyclase Cyr1 or with lowered Cyr1 levels using an optogenetically controlled degron. Despite being growth-competent under illumination, the bPAC-containing yeast strain showed alterations in energy metabolism under all conditions. Quantitative proteome analysis using timsTOF mass spectrometry revealed profound changes in central carbon metabolism, sulfur homeostasis, energy charge, and ribosome biogenesis upon uncoupling cAMP from nutrient-dependent regulation, particularly under sustained light activation. These results highlight the critical role of dynamic Cyr1-dependent regulation for central metabolism, and underscore the biotechnological promise of refined PKA-targeted strategies for eukaryotic cell factories.IMPORTANCECarbon-footprint-minimized production of fine chemicals, pharmaceuticals, and biofuels requires optimized microbial cell factories with tailored metabolic performance. We employed optogenetic dynamic metabolic engineering in baker's yeast by uncoupling nutrient sensing from cAMP signaling using a light-controlled adenylate cyclase. Precise light regulation of intracellular cAMP levels and PKA activity enabled acute control of the metabolism, redirecting resources toward product synthesis, and boosting the production of valuable compounds such as β-carotene and cordycepin. Quantitative proteomics revealed that uncoupling of the cAMP-PKA axis from glucose sensing profoundly reprograms the central carbon metabolism and other key cellular processes. This approach provides a blueprint for refined, light-tunable strategies targeting the cAMP-PKA axis directly with light, e.g., for enhanced bioethanol production. Moreover, our data provide evidence for the profound influence of the cAMP-PKA axis on metabolism and balanced energy production that are fundamental for efficient production in microbial cell factories.

Abstract: Advances in optogenetics now allow specific modifications to the DNA of live cells with light. However, successfully using these technologies requires knowing their properties in terms of sensitivity, efficiency, kinetics and mechanism. We previously developed an optogenetic tool made of a single chimeric protein called LiCre that enables the induction of specific changes in the genome with blue light via DNA recombination between loxP sites ( Duplus-Bottin et al., 2021). Here, we used in vitro and in vivo experiments combined with kinetic modeling to provide a deeper characterization of the photoactivated LiCre-loxP recombination reaction. We find that LiCre binds DNA with high affinity in the absence of a light stimulus and that this binding is cooperative, although not as much as for the Cre recombinase from which LiCre was derived. In yeast, the addition of riboflavin to the culture medium had no effect on LiCre's efficiency, even when cells over-expressed riboflavin kinase, suggesting that the abundance of the flavin mononucleotide cofactor is not limiting for the reaction. However, LiCre's efficiency in yeast gradually increased when raising the temperature from 20°C to 37°C. The recombination kinetics observed in live cells are best explained by a model where the photoactivation of two or more DNA-bound LiCre units (happening in seconds) can produce (in several minutes) a functional recombination synapse. This model was able to capture the effect of a point mutation altering LiCre's light cycle. This deeper understanding of the LiCre-loxP system provides additional knowledge for designing experiments where specific genetic changes are induced in live cells with light.

Abstract: Biological information can be encoded in signaling dynamics, which have been implicated in many physiological processes; yet the diversity of dynamic expression profiles driven by a single gene remains unclear. To explore this, we screen 80 chromatin-associated proteins (CAPs) for their potential to drive diverse dynamic gene expression profiles from the same genome-integrated reporter in yeast. Using locus-specific optogenetic recruitment and live-cell microscopy, we measure dynamic expression profiles within single cells. CAP recruitment elicits a range of responses varying in activation delay, strength, production rate, and noise. We find that promoter activity is characterized by graded, rather than switch-like, transitions. A kinetic model with three promoter states and a positive feedback loop successfully captures the key features of expression driven by each CAP. These results reveal the rich dynamic landscape possible from a single gene, offering insights into native cellular processes and enhancing gene expression control in synthetic biology.

Abstract: Evolving dynamic, multi-state, and computational protein functionalities is challenging because it requires selection pressure on all the states of a protein of interest (POI) and the transitions between them. To create a continuous directed evolution paradigm for such properties, we genetically engineered budding yeast for optogenetic input to switch a POI "on" and "off," which, in turn, controls a Cdk1 cyclin that is essential for one cell-cycle stage but detrimental for another. The method, "optovolution," generates dynamic selection pressure on POI cycling at the timescale of tens of minutes. We used it to evolve 19 new variants of the LOV transcription factor El222, including in vivo green-light-responsive variants allowing LOV color-multiplexing. Evolving the PhyB-Pif3 optogenetic system, we discovered that loss of YOR1 makes supplementing phycocyanobilin (PCB) unnecessary. Finally, we demonstrated the generality of the method by evolving a non-light-responsive AND gate (PEST-rtTA). Optovolution makes difficult-to-engineer protein functionalities continuously evolvable.

Abstract: Numerous organisms have evolved the ability to utilize light through photoreceptor proteins that mediate diverse biological processes. Currently, several optogenetic sensor systems are widely used in yeast. However, when these systems are applied for gene repression to regulate endogenous yeast gene expression, they typically require the insertion of corresponding target sites near the native promoter of the gene of interest to achieve precise modulation. To address these constraints, a novel blue light-inducible optogenetic tool designated iLight9 was developed, a single-component optogenetic biosensor integrated with the CRISPR-dCas9 platform. The stability of the iLight9 system was further enhanced by employing a strategy involving the addition of a protein degradation tag. The resulting system was designated as iLight9O, which facilitated programmable regulation of distinct genes through the introduction of specific sgRNAs. Subsequently, systematic metabolic engineering strategies were employed to construct an efficient patchoulol-producing cell factory in Saccharomyces cerevisiae. Moreover, a two-step isoprenol utilization (IU) pathway was introduced into the recombinant strain to enhance its capacity for patchoulol biosynthesis. Crucially, the iLight9O system was adopted to dynamically downregulate squalene synthase, a key enzyme in the competing squalene biosynthetic pathway. This optogenetic flux control strategy increased patchoulol titers by 66 % in the IU-optimized strain and 24 % in the MVAIU2 strain, demonstrating significant improvements over static engineering approaches.

Abstract: Synthetic gene circuits consist of engineered networks of genes and proteins. The function of these circuits can be tuned by regulating the expression levels of key circuit components. Light is an ideal signal for controlling expression levels in these circuits; it is cheap and easy to modulate relative to traditional chemical signals. Here, we explore Optogenetic Transcription Factor Localizers (OpTFLos) for tuning expression levels with light. OpTFLos are genetically encoded light-responsive tools for controlling the position in the cell, and therefore the activity, of transcription factors. In this protocol, we discuss how to use the automated optogenetics platform Lustro to systematically characterize OpTFLos to identify light programs that generate desired expression levels. One challenge here with optogenetic tools is that many systems respond to blue light. By using microscopy and Lustro, we describe how to identify light programs that allow for two blue-light-responsive OpTFLos with different kinetic properties to achieve distinct gene expression states with minimal crosstalk, potentially useful for tuning the expression of multiple components within a synthetic gene circuit with a single wavelength of light.

Abstract: Saccharomyces cerevisiae is a widely used chassis in metabolic engineering. Due to the Crabtree effect, it preferentially produces ethanol under high-glucose conditions, limiting the synthesis of other valuable metabolites. Conventional metabolic engineering approaches typically rely on irreversible genetic modifications, making it insufficient for dynamic metabolic control. In contrast, optogenetics offers a reversible and tunable method for regulating cellular metabolism with high temporal precision. In this study, we engineered the pyruvate decarboxylase isozyme 1 (Pdc1) by inserting the photosensory modules (AsLOV2 and cpLOV2 domains) into rationally selected positions within the enzyme. Through a growth phenotype-based screening system, we identified two blue light-responsive variants, OptoPdc1D1 and OptoPdc1D2, which enable light-dependent control of enzymatic activity. Leveraging these OptoPdc1 variants, we developed opto-S. cerevisiae strains, MLy-9 and MLy-10, which demonstrated high efficiency in modulating both cell growth and ethanol production. These strains allow reliable regulation of ethanol biosynthesis in response to blue light, achieving a dynamic control range of approximately 20- to 120-fold. The opto-S. cerevisiae strains exhibited dose-dependent production in response to blue light intensity and pulse patterns, confirming their potential for precise metabolic control. This work establishes a novel protein-level strategy for regulating metabolic pathways in S. cerevisiae and introduces an effective method for controlling ethanol metabolism via optogenetic regulation.

Abstract: Recent advances in protein structure prediction by artificial intelligence have enabled the rational design of engineered enzymes with enhanced activity and precise regulatory features. Here, we report the AlphaFold3-guided enhancement of MagMboI, a photoactivatable restriction enzyme designed for light-controlled top-down genome engineering. MagMboI is derived from the type II restriction enzyme MboI and functions through a split-protein strategy in which its N- and C-terminal fragments are fused to light-inducible dimerization modules. Upon exposure to blue light, these domains heterodimerize, restoring nuclease activity in a controlled manner. Using AlphaFold3, we modeled the structure of the MagMboI-DNA complex and gained structural insights into the interaction between MagMboI and its target DNA recognition sequence (5'-GATC-3') required for Mg2+-dependent DNA cleavage. Comparing neighboring split-site variants, we identified an alternative split that increases the MagMboI-DNA interface area and enhances complex stability relative to the original construct. This redesigned variant (designated MagMboI-plus) preserves α-helical integrity while strengthening protein-DNA contacts. Although MagMboI-plus, when introduced in Saccharomyces cerevisiae cells, exhibited slightly increased DNA-cleavage activity in vivo upon blue light activation, it was found to induce more pronounced genomic rearrangements compared to the original MagMboI construct. These findings demonstrate that AlphaFold3-based prediction can accelerate functional improvements in engineered enzymes, providing a strategy for developing light-controlled genome engineering tools.

Abstract: The in vivo continuous evolution system OrthoRep (orthogonal replication) is a powerful strategy for rapid enzyme evolution in Saccharomyces cerevisiae that diversifies genes at a rate exceeding the endogenous genome mutagenesis rate by several orders of magnitude. However, it is difficult to neofunctionalize genes using OrthoRep partly because of the way selection pressures are applied. Here we combine OrthoRep with optogenetics in a selection strategy we call OptoRep, which allows fine-tuning of selection pressure with light. With this capability, we evolved a truncated form of the endogenous monocarboxylate transporter JEN1 (JEN1t) into a de novo mevalonate importer. We demonstrate the functionality of the evolved JEN1t (JEN1tY180C/G) in the production of farnesene, a renewable aviation biofuel, from mevalonate fed to fermentation media or produced by microbial consortia. This study shows that the light-induced complementation of OptoRep may improve the ability to evolve functions not currently accessible for selection, while its fine tunability of selection pressure may allow the continuous evolution of genes whose desired function has a restrictive range between providing effective selection and cellular viability.

Abstract: Optogenetics has emerged as a powerful tool for regulating cellular processes due to its noninvasive nature and precise spatiotemporal control. Far-red light (FRL) has increasingly been used in the optogenetic control of mammalian cells due to its low toxicity and high tissue penetration. However, robust and orthogonal FRL sensors are lacking in bacteria. Here, we established an orthogonal FRL sensor in Escherichia coli with a maximum dynamic range exceeding 230-fold based on the RfpA-RfpC-RfpB (RfpABC) signaling system that regulates the far-red light photoacclimation (FaRLiP) in cyanobacteria. We identified a conserved DNA motif in the promoter sequences of the Chl f synthase gene and other genes in the FaRLiP gene clusters, termed the far-red light-regulatory (FLR) motif, which enables the light-responsive activation of gene expression through its interaction with RfpB. Based on the FLR motif, we simplified the FLR-containing promoters and characterized their activation abilities and dynamic ranges, which can be utilized in different synthetic biology scenarios. Additionally, one or two FLR motifs are present at other loci within the FaRLiP gene cluster, providing further FRL-inducible promoter resources. The FRL sensor exhibits effective activation and suppression under low-intensity FRL and white light, respectively, and remains functional in darkness. In conclusion, this study advances the understanding of the regulatory mechanisms of FaRLiP in cyanobacteria and provides robust and orthogonal FRL sensors for synthetic biology applications.

Abstract: During mating in budding yeast, cells use pheromones to locate each other and fuse. This model system has shaped our current understanding of signal transduction and cell polarization in response to extracellular signals. The cell populations producing extracellular signal landscapes themselves are, however, less well understood, yet crucial for functionally testing quantitative models of cell polarization and for controlling cell behavior through bioengineering approaches. Here we engineered optogenetic control of pheromone landscapes in mating populations of budding yeast, hijacking the mating-pheromone pathway to achieve spatial control of growth, cell morphology, cell-cell fusion, and distance-dependent gene expression in response to light. Using our tool, we were able to spatially control and shape pheromone gradients, allowing the use of a biophysical model to infer the properties of large-scale gradients generated by mating populations in a single, quantitative experimental setup, predicting that the shape of such gradients depends quantitatively on population parameters. Spatial optogenetic control of diffusible signals and their degradation provides a controllable signaling environment for engineering artificial communication and cell-fate systems in gel-embedded cell populations without the need for physical manipulation.

Abstract: Microbial fermentation provides a sustainable method of producing valuable chemicals. Adding dynamic control to fermentations can significantly improve titers, but most systems rely on transcriptional controls of metabolic enzymes, leaving existing intracellular enzymes unregulated. This limits the ability of transcriptional controls to switch off metabolic pathways, especially when metabolic enzymes have long half-lives. We developed a two-layer transcriptional/post-translational control system for yeast fermentations. Specifically, the system uses blue light to transcriptionally activate the major pyruvate decarboxylase PDC1, required for cell growth and concomitant ethanol production. Switching to darkness transcriptionally inactivates PDC1 and instead activates the anti-Pdc1p nanobody, NbJRI, to act as a genetically encoded inhibitor of Pdc1p accumulated during the growth phase. This dual transcriptional/post-translational control improves the production of 2,3-BDO and citramalate by up to 100 and 92% compared to using transcriptional controls alone in dynamic two-phase fermentations. This study establishes the NbJRI nanobody as an effective genetically encoded inhibitor of Pdc1p that can enhance the production of pyruvate-derived chemicals.

Abstract: Keeping condensates in liquid-like states throughout the biosynthesis process in microbial cell factories remains an ongoing challenge. Here, we present a light-controlled phase regulator, which maintains the liquid-like features of synthetic condensates on demand throughout the biosynthesis process upon light induction, as demonstrated by various live cell-imaging techniques. Specifically, the tobacco etch virus (TEV) protease controlled by light cleaves intrinsically disordered proteins (IDPs) to alter their valency and concentration for controlled phase transition and programmable fluidity of cellular condensates. As a proof of concept, we harness this capability to significantly improve the production of squalene and ursolic acid (UA) in engineered Saccharomyces cerevisiae. Our work provides a powerful approach to program the solid-liquid phase transition of biomolecular condensates for improved biosynthesis.

Abstract: The wine strains of Saccharomyces cerevisiae transform glucose into ethanol and other byproducts such as glycerol and acetate. The balance of these metabolites is important during the fermentation process, which impacts the organoleptic properties of wines. Ethanol and glycerol productions are mainly controlled by the ADH1 and GPD1 genes, which encode for the alcohol dehydrogenase and glycerol-3-phosphate-dehydrogenase enzymes, respectively. Genetic modification of these genes can thus be used to alter the levels of the corresponding metabolites and to reroute fermentation. In this work, we used an optogenetic system named FUN-LOV (FUNgal-Light Oxygen Voltage) to regulate the expression of ADH1 and GPD1 in a wine yeast strain using light. Initially, we confirmed the light-controlled expression of GPD1 and ADH1 in the engineered strains via RT-qPCR and a translational reporter, respectively. To characterize the generated yeast strains, we performed growth curve assays and laboratory-scale fermentations, observing phenotypic differences between illumination conditions that confirm the optogenetic control of the target genes. We also monitored glucose consumption and ethanol and glycerol productions during a fermentation time course, observing that the optogenetic control of GPD1 increased glycerol production under constant illumination without affecting ethanol production. Interestingly, the optogenetic control of ADH1 showed an inverted phenotype, where glycerol production increased under constant darkness conditions. Altogether, our results highlight the feasibility of using optogenetic tools to control yeast fermentation in a wine yeast strain, which allows changing the balance of metabolic products of interest in a light-dependent manner.

Abstract: Flocculation in Saccharomyces cerevisiae is a critical phenotype with ecological and industrial significance. This study aimed to functionally dissect the contributions of individual FLO genes (FLO1, FLO5, FLO9, FLO10, FLO11) to flocculation by employing an optogenetic circuit (OptoQ-AMP5) for precise, light-inducible control of gene expression. A FLO-null platform yeast strain was engineered allowing the expression of individual FLO genes without native background interference. Each FLO gene was reintroduced into the FLO-null background under the control of OptoQ-AMP5. Upon light induction, strains expressing FLO1, FLO5, or FLO10 demonstrated strong flocculation, with FLO1 and FLO5 forming large and structurally distinct aggregates. FLO9 induced a weaker phenotype. Sugar inhibition assays revealed distinct sensitivities among flocculins, notably FLO9's novel sensitivity to fructose and maltotriose. Additionally, FLO-induced changes in cell surface hydrophobicity were quantified, revealing that FLO10 and FLO1 conferred the greatest hydrophobicity, correlating with their aggregation strength. This work establishes a robust platform for investigating flocculation mechanisms in yeast with temporal precision. It highlights the phenotypic diversity encoded within the FLO gene family and their differential responses to environmental cues. The optogenetic system provides a valuable tool for both fundamental studies and the rational engineering of yeast strains for industrial fermentation processes requiring controlled flocculation.

Abstract: Nitrogen limitations in the grape must be the main cause of stuck fermentations during the winemaking process. In Saccharomyces cerevisiae, a genetic segment known as region A, which harbors 12 protein-coding genes, was acquired horizontally from a phylogenetically distant yeast species. This region is mainly present in the genome of wine yeast strains, carrying genes that have been associated with nitrogen utilization. Despite the putative importance of region A in yeast fermentation, its contribution to the fermentative process is largely unknown. In this work, we used a wine yeast strain to evaluate the contribution of region A to the fermentation process. To do this, we first sequenced the genome of the wine yeast strain using long-read sequencing and determined that region A is present in a single copy. We then implemented an optogenetic system in this wine yeast strain to precisely regulate the expression of each gene, generating a collection of 12 strains that allow for light-activated gene expression. To evaluate the role of these genes during fermentation, we assayed this collection using microculture and fermentation experiments in synthetic must with varying amounts of nitrogen concentration. Our results show that changes in gene expression for genes within this region can impact growth parameters and fermentation rate. We additionally found that the expression of various genes in region A is necessary to complete the fermentation process and prevent stuck fermentations under low nitrogen conditions. Altogether, our optogenetics-based approach demonstrates the importance of region A in completing fermentation under nitrogen-limited conditions.IMPORTANCEStuck fermentations due to limited nitrogen availability in grape must represent one of the main problems in the winemaking industry. Nitrogen limitation in grape must reduces yeast biomass and fermentation rate, resulting in incomplete fermentations with high levels of residual sugar, undesired by-products, and microbiological instability. Here, we used an optogenetic approach to demonstrate that expression of genes within region A is necessary to complete fermentations under low nitrogen availability. Overall, our results suggest that region A is a genetic signature for adaptation to low nitrogen conditions.

Abstract: In metabolic engineering, increasing chemical production usually involves manipulating the expression levels of key enzymes. However, limited synthetic tools exist for modulating enzyme activity beyond the transcription level. Inspired by natural post-translational mechanisms, we present targeted enzyme degradation mediated by optically controlled nanobodies. We applied this method to a branched biosynthetic pathway, deoxyviolacein, and observed enhanced product specificity and yield. We then extend the biosynthesis pathway to violacein and show how simultaneous degradation of two target enzymes can further shift production profiles. Through the redirection of metabolic flux, we demonstrate how targeted enzyme degradation can be used to minimize unwanted intermediates and boost the formation of desired products.

Abstract: Blue light illumination can be detected by Light-Oxygen-Voltage (LOV) photosensing proteins and translated into a range of biochemical responses, facilitating the generation of novel optogenetic tools to control cellular function. Here we develop new variants of our previously described VP-EL222 light-dependent transcription factor and apply them to study the phosphate-responsive signaling (PHO) pathway in the budding yeast Saccharomyces cerevisiae, exemplifying the utilities of these new tools. Focusing first on the VP-EL222 protein itself, we quantified the tunability of gene expression as a function of light intensity and duration, and demonstrated that this system can tolerate the addition of substantially larger effector domains without impacting function. We further demonstrated the utility of several EL222-driven transcriptional controllers in both plasmid and genomic settings, using the PHO5 and PHO84 promoters in their native chromosomal contexts as examples. These studies highlight the utility of light-controlled gene activation using EL222 tethered to either artificial transcription domains or yeast activator proteins (Pho4). Similarly, we demonstrate the ability to optogenetically repress gene expression with EL222 fused to the yeast Ume6 protein. We finally investigated the effects of moving EL222 recruitment sites to different locations within the PHO5 and PHO84 promoters, as well as determining how this artificial light-controlled regulation could be integrated with the native controls dependent on inorganic phosphate (Pi) availability. Taken together, our work expands the applicability of these versatile optogenetic tools in the types of functionality they can deliver and biological questions that can be probed.

Abstract: The ability to control cellular processes using optogenetics is inducer-limited, with most optogenetic systems responding to blue light. To address this limitation, we leverage an integrated framework combining Lustro, a powerful high-throughput optogenetics platform, and machine learning tools to enable multiplexed control over blue light-sensitive optogenetic systems. Specifically, we identify light induction conditions for sequential activation as well as preferential activation and switching between pairs of light-sensitive split transcription factors in the budding yeast, Saccharomyces cerevisiae. We use the high-throughput data generated from Lustro to build a Bayesian optimization framework that incorporates data-driven learning, uncertainty quantification, and experimental design to enable the prediction of system behavior and the identification of optimal conditions for multiplexed control. This work lays the foundation for designing more advanced synthetic biological circuits incorporating optogenetics, where multiple circuit components can be controlled using designer light induction programs, with broad implications for biotechnology and bioengineering.

Abstract: Synthetic Sc2.0 yeast strains contain hundreds to thousands of loxPsym recombination sites that allow restructuring of the Saccharomyces cerevisiae genome by SCRaMbLE. Thus, a highly diverse yeast population can arise from a single genotype. The selection of genetically diverse candidates with rearranged synthetic chromosomes for downstream analysis requires an efficient and straightforward workflow. Here we present loxTags, a set of qPCR primers for genotyping across loxPsym sites to detect not only deletions but also inversions and translocations after SCRaMbLE. To cope with the large number of amplicons, we generated qTagGer, a qPCR genotyping primer prediction tool. Using loxTag-based genotyping and long-read sequencing, we show that light-inducible Cre recombinase L-SCRaMbLE can efficiently generate diverse recombination events when applied to Sc2.0 strains containing a linear or a circular version of synthetic chromosome III.

Abstract: The cAMP-PKA signaling pathway plays a crucial role in sensing and responding to nutrient availability in the fission yeast Schizosaccharomyces pombe. This pathway monitors external glucose levels to control cell growth and sexual differentiation. However, the temporal dynamics of the cAMP-PKA pathway in response to external stimuli remains unclear mainly due to the lack of tools to quantitatively visualize the activity of the pathway. Here, we report the development of the kinase translocation reporter (KTR)-based biosensor spPKA-KTR1.0, which allows us to measure the dynamics of PKA activity in fission yeast cells. The spPKA-KTR1.0 is derived from the transcription factor Rst2, which translocates from the nucleus to the cytoplasm upon PKA activation. We found that spPKA-KTR1.0 translocates between the nucleus and cytoplasm in a cAMP-PKA pathway-dependent manner, indicating that the spPKA-KTR1.0 is a reliable indicator of the PKA activity in fission yeast cells. In addition, we implemented a system that simultaneously visualizes and manipulates the cAMP-PKA signaling dynamics by introducing bPAC, a photoactivatable adenylate cyclase, in combination with spPKA-KTR1.0. This system offers an opportunity for investigating the role of the signaling dynamics of the cAMP-PKA pathway in fission yeast cells with higher temporal resolution.