Yeast

Yeasts ability to invade surfaces has important implications for infections and food contamination. Invasive growth in yeast is influenced by genetic and environmental factors. In this exploratory study, we investigated the effects of sodium sulfide, gene deletions, and environmental conditions on the invasive behaviour of the wine yeast strain AWRI 796. Sodium sulfide enhanced invasion in the (parent) AWRI 796 strain under nitrogen-limiting conditions, although its effect was obscured by experimental variability and pre-culture conditions. Genetic factors had a major effect on the overall invasive phenotype, with deletion of key genes suppressing invasion. Most gene-deletion mutants did not significantly affect how the colony responded to sulfide. In addition to sulfide and genotype, environmental conditions also influenced invasive behaviour. The pre-2xSLAD pre-culture condition was best for detecting sulfide-induced growth, and later plate washing time and decreased nutrient levels enhanced invasiveness. Our experimental design and findings provide a framework for understanding the determinants of yeast invasiveness, which may inform future studies on filamentous yeast behaviour.

Purine moieties are essential for many functions within the eukaryotic cell, including energy, signaling and nucleic acid synthesis. While purine starvation is known to induce stress resistance in eukaryotic model organism budding yeast Saccharomyces cerevisiae, it remains unclear whether the physiological response is related to disruption of synthesis pathway in particular position or it is uniform across all genetic deficiencies within the de novo adenine biosynthesis pathway. It is also not known how purine starved cells perceive purine shortage - weather they share the same signaling elements with nitrogen starvation or not. MethodsWe characterised physiology of strains with deletions in adenine biosynthesis pathway when cultivated in full or purine deficient and compared to cell physiological parameters when cultivated in nitrogen deficient media. We tested stress tolerance, carbon flux, cell cycle arrest and did transcription profiling (RNA-seq). ResultsOur findings demonstrate that purine starvation-induced stress resistance is significantly modulated by the specific step at which the pathway is interrupted. Transcriptional analysis revealed that purine starvation in many aspects phenocopies nitrogen starvation, particularly - in both starvations strong downregulation of ribosome related genes occurs. In the same time several metabolic features which differ from N- and ade- starvations: pentose phosphate pathway is specifically upregulated within ade4{Delta}-ade2{Delta} and downregulated in N-cells. Notably, the expression of stress-responsive genes such as HSP12, HSP26, and GRE1 varied between mutants, suggesting that the accumulation of pathway intermediates (e.g., AIR in ade2{Delta}) or the absence of downstream precursors (AICAR) alters the perception of starvation especially in the case of ade16{Delta}ade17{Delta} strain. ConclusionsMetabolic and stress-tolerance phenotypes of purine auxotrophs are not merely a result of purine depletion but seems that the response is signalled via the same pathways, like TOR1. The results suggest that strains having mutations within various positions of the purine pathway "perceive" purine limitation a bit differently - especially when we compare the end of the pathway with the other mutants. Different phenotypic outcomes of the occasional purine depletion might give preferences for organisms which have mutations in the beginning rather at the end of the pathway. Besides, our findings might have implications in the design of synthetic pathways and the use of auxotrophic markers in yeast research.

Sourdough starters contain simple microbial communities typically consisting of a few bacterial species and one or two yeast species. The yeast Maudiozyma humilis and the lactic acid bacterium Fructilactobacillus sanfranciscensis often co-occur in sourdough starters, and have been presumed to exist in a trophic relationship supported by glucose cross-feeding. However, previous research has highlighted a lack of evidence showing that yeast strains consume the glucose that F. sanfranciscensis produces. We have investigated the interaction between sourdough isolates of M. humilis and F. sanfranciscensis in a synthetic wheat sourdough medium, allowing us to control substrate composition and use flow cytometry to enumerate living and dead cells. M. humilis fitness was found to be lower in co-culture with F. sanfranciscensis than when grown alone. Analysis of spent medium composition highlighted the reliance of M. humilis on glucose rather than maltose for growth. Comparisons of predicted and measured co-culture metabolite content also revealed that F. sanfranciscensis consumed less maltose in co-culture than when grown alone. For the first time, we examined potential amino acid cross-feeding between M. humilis and F. sanfranciscensis, and found that within the pairing, F. sanfranciscensis was the main producer of amino acids. Our findings suggest that the M. humilis-F. sanfranciscensis interaction is likely to be neutral, or even competitive, with the strain identity of F. sanfranciscensis playing a defining role in the observed dominance of the bacteria and spent medium metabolite composition. ImportanceThe association of the yeast Maudiozyma humilis and the bacterium Fructilactobacillus sanfranciscensis in sourdough starters is well-documented, and together this pairing makes key functional and organoleptic contributions to the final bread product. Their relationship has historically been thought to be stabilised by cross-feeding of glucose to M. humilis. However, this theory has been drawn into question by recent research which found no evidence that M. humilis consumes the glucose produced by F. sanfranciscensis. Our understanding of cooperation, coexistence, and competition in microbial consortia affects approaches to ecosystem management in a broad variety of applied fields. The significance of our research is in demonstrating that this pairing does not interact mutualistically within a specified setting, providing support for neutral or competitive interactions as drivers of ecological stability. Research areas:

Yarrowia lipolytica is a yeast of industrial interest exhibiting remarkable lipolytic and proteolytic capacities, with a high potential for white biotechnology applications. This yeast can be isolated from a wide range of natural, polluted or anthropogenic environments, including various food products. The present study aims to increase the data on Y. lipolytica phenotypic diversity by evaluating the growth parameters and secreted enzymatic activities of 28 wild-type Y lipolytica (and Yarrowia sp.) strains isolated from various environments across 10 countries. These data could facilitate the selection of appropriate strains for specific research purposes, particularly when wild-type strains are prioritized over genetically engineered ones, like for food-related applications. Notably, strain SWJ-1b exhibited an outstanding combination of favourable characteristics, with optimum (or near) performances for both growth and enzymatic parameters.

In heterogeneous environments, the hyphae of filamentous fungi and oomycetes can facilitate the dispersal of other microorganisms. The use of these "fungal highways" (FH) is regulated by both physical and biological factors with their interplay resulting in variable capabilities of different microbes to establish FH. Several devices have been developed to test the movement of bacteria across mycelium. However, these methods are usually time-consuming and cannot be applied either at a large scale or in a high throughput format. In this study, we developed 3D-printed experimental devices that physically separate two environments while allowing hyphal networks to act as bridges for bacterial movement. The final design allows for the simultaneous testing of up to 10 pairs and the inclusion of any culturing media. With these devices, we investigated how fungal-bacterial pairing, nutrient conditions, and inoculation strategies influence FH formation. Bacterial transport was limited in nutrient-rich media but increased under poorer nutrient conditions, consistent with enhanced exploratory growth of the mycelium. Both cis- and trans-inoculation supported FH formation, although bacterial arrival was delayed in the absence of co-inoculation. The devices were used to demonstrate that transport of bacteria by FH was relevant for the colonization of a natural substrate. Finally, we established a novel in planta assay to evaluate FH formation during host colonization. This assay demonstrated that Fusarium graminearum can transport bacteria during wheat spike colonization. Together, these results provide accessible, scalable tools to study hyphal-mediated bacterial dispersal and highlight the combined role of biological specificity and nutrient context in the establishment of FH. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/719220v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1cf39aforg.highwire.dtl.DTLVardef@1d41e6corg.highwire.dtl.DTLVardef@1196637org.highwire.dtl.DTLVardef@85cc6c_HPS_FORMAT_FIGEXP M_FIG C_FIG

Genetically identical cells grown in the same environment show variation in gene expression known as expression noise. Expression noise can be heritable and impact fitness, making it subject to natural selection. Increasing expression noise for the Saccharomyces cerevisiae TDH3 gene was shown to be beneficial in glucose-based media when mean TDH3 expression was far from the fitness optimum but deleterious when it was close to this optimum. Here, we show that growth on different carbon sources alters the effects of new mutations on TDH3 expression noise and examine the fitness effects of changing expression noise. In galactose-based media, we observed the same relationship between expression noise and fitness seen in glucose-based media, but in glycerol- and ethanol-based media, we observed the opposite relationship or no significant relationship, respectively. Using simulations of single-cell organisms, we found that these differences were most likely explained by environment-specific relationships between gene expression and fitness. We also found that, far from the optimum, the fitness effects of noise were greatest when expression was highly heritable between mother and daughter cells. The empirical observations and simulations reported in this study show how environments influence both the production of expression noise and its impacts on fitness.

Rock-inhabiting fungi thrive in subaerial oligotrophic environments such as desert rocks, solar panels and marble monuments where organic carbon and nitrogen are scarce. We tested whether the rock-inhabiting fungus Knufia petricola showed a preference regarding nitrogen ([Formula] or [Formula]) and carbon (glucose or sucrose) sources and whether it was sensitive towards carbon and nitrogen limitation. As this fungus produces the carbon-rich, nitrogen-free 1,8-dihydroxynaphthalene (DHN) melanin, we tested whether a melanin-deficient mutant would be less sensitive to carbon limitation. The carbon and nitrogen concentrations were the primary predictors of growth, with a broad optimum partially explained by an optimal fungal C:N ratio. Limiting carbon or nitrogen supply decreased biomass formation, CO2 production and biofilm thickness but promoted substratum penetration through filamentous growth. The nitrogen content of the biomass was flexible within limits, increasing upon increasing nitrogen supply or decreasing carbon supply. The carbon use efficiency was fairly constant, whereas melanization correlated with a higher nitrogen content of the biomass despite melanin being nitrogen-free. In conclusion, in vitro, K. petricola switches to explorative growth under nutrient limitations, like fast-growing fungi, revealing universal fungal resource-acquisition patterns. Graphical abstract text and imageCarbon and nitrogen availability affect biofilm growth and morphology of the extremotolerant fungus Knufia petricola Abolfazl Dehkohneh, Julia Schumacher, Bastiaan J. R. Cockx, Karin Keil, Tessa Camenzind, Jan-Ulrich Kreft, Anna A. Gorbushina, Ruben Gerrits Growth of the rock-inhabiting fungus Knufia petricola was studied by varying carbon and nitrogen sources and concentrations. Overall, growth was best predicted by the carbon and nitrogen concentrations. Carbon and nitrogen limitation promoted substratum penetration through filamentous growth. O_FIG O_LINKSMALLFIG WIDTH=158 HEIGHT=200 SRC="FIGDIR/small/712823v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@6d98bdorg.highwire.dtl.DTLVardef@146aac5org.highwire.dtl.DTLVardef@757fa8org.highwire.dtl.DTLVardef@ff709_HPS_FORMAT_FIGEXP M_FIG C_FIG

Measuring the growth rate of filamentous fungi is an essential phenotype assay in fungal biology, enabling the comparison of nutrient-related fitness metrics across various isolates, species and genera. Conventional methods are time consuming and labor intensive, which prohibits the adaptation and implementation of high-throughput phenotyping. Here, we suggest a high-throughput methodological pipeline to study fungal growth on solid media combining the use of 24-well plates, an automated image acquisition system, and human assisted deep learning analysis of acquired images. Training a deep learning model through an iterative process - with continuous feedback and corrective annotations - enabled the development of a satisfying model that automatically segments pixels belonging to either fungus or background within a few hours. We evaluated this deep learning model by applying it to two test sets: First, a set of 336 images was used to validate the results by comparison with manual measurements. We demonstrate that the automated segmentation approach provides robust estimation of fungal growth not significantly different to manually segmented data. Second, a larger test set consisting of 2,016 images was used to illustrate the scalability of the model. After training the model for less than two hours, the deep learning model segmented the entire image data set automatically within minutes. The presented method is easily scalable and adjustable to other fungi and growth morphologies, due to the interactive training. Moreover, by combining 24-well plates and automatic image acquisition, measurements can be sped up as growth is detected across a smaller surface area than a standard six or nine cm diameter petri dish. The proposed methodological pipeline thus offers a new tool for estimating fungal growth rates, which can accelerate measurements, reduce bias, and increase throughput.

IntroductionThe use of Saccharomyces cerevisiae to ferment alcoholic beverages is an ancient tradition, with genetic evidence indicating origins in Neolithic Asia, although the domestication process of the species is not fully understood. Kveik is a group of traditional yeasts used in farmhouse brewing in western Norway preserved through generations of rural brewing practice. While recent studies have highlighted the distinctiveness of kveik, its precise phylogenetic position, genetic diversity, and domestication history remain unclear. ResultsWe performed whole-genome sequencing on 62 samples representing 25 unique Norwegian strains selected using cultural heritage criteria, and generated telomere-to-telomere (T2T) assemblies for representative isolates. Phylogenomic and population genetic analyses reveal that kveik forms a paraphyletic and early diverging group with respect to other domesticated S. cerevisiae strains. Most strains exhibit low within-strain diversity, strong geographic clustering, and little evidence of gene-flow or admixture. Mitochondrial genomes and Ty1 retrotransposon profiles corroborate this distinct lineage history. We further show that previously reported signals of gene flow between kveik and Asian fermentation strains are likely artifacts caused by population structure and selection. Divergence time estimates suggest that the common ancestor of beer, kveik, and other liquid-phase fermenting strains originated from ancestral populations 4,000 to 8,000 years ago. ConclusionKveik yeasts represent a relic of early S. cerevisiae domestication, shaped by ancient human practices, migrations, and the spread of agriculture. Our genomic resource sheds light on yeast evolution and domestication. They likely comprise some of the oldest domesticated lineages in continuous use until today, connecting endangered intangible cultural heritage to an early genetic origin.

High-temperature stress is a major constraint on yeast growth and fermentation, and has traditionally been interpreted primarily in terms of intracellular molecular damage such as protein denaturation and aggregation. Despite this extensive focus on intracellular mechanisms, how physical factors within the extracellular environment influence yeast thermotolerance remains poorly understood. Here we demonstrate that increases in extracellular osmolarity markedly attenuate growth inhibition under high-temperature conditions in yeast. This protective effect was consistently observed in multiple laboratory and industrial strains of Saccharomyces cerevisiae, as well as in ascomycetous and basidiomycetous yeasts, indicating that osmotic pressure-dependent thermotolerance is a broadly conserved phenomenon. We also found that extracellular osmolarity dynamically increases during growth and then decreases in a diauxic shift-like pattern after growth arrest. At high temperature, the secretion of glucose-derived metabolites decreased, but that of other solutes increased, suggesting that heat stress alters the composition of extracellular solutes contributing to osmolarity. In addition, intracellular glycerol levels increased at high temperature, and this increase was further enhanced under high-osmolarity conditions. Notably, expression of a constitutively active Hog1 mutant exhibited raised intracellular glycerol levels, enhanced nuclear localization of Hog1, and improved growth under high-temperature conditions. Collectively, these findings support a model in which extracellular osmolarity is modulated to avoid excessive intracellular osmolarity under high-temperature conditions, while the intracellular accumulation of glycerol contributes to yeast adaptation at high-temperature. Our results highlight extracellular-intracellular osmotic coordination as an additional physiological layer of high-temperature stress adaptation in yeast.

The efficient production of food and biochemicals using microorganisms that utilize single-carbon feedstocks presents a promising approach for advancing a circular bioeconomy. Komagataella phaffii (formerly Pichia pastoris) is a methylotrophic yeast already widely used in industry, making it an attractive host for such applications. Recently, K. phaffii was converted into an autotrophic strain capable of assimilating CO2 into both biomass and secreted organic acids, using energy derived from dissimilation of methanol to CO2. In these strains, methanol oxidation is catalysed by an alcohol oxidase (Aox2), which transfers electrons to oxygen without conserving reducing equivalents. To address this limitation, in this study we explored redirecting methanol dissimilation through the native alcohol dehydrogenase (Adh2), coupling methanol oxidation with NADH generation to improve carbon efficiency. By deleting AOX2 and overexpressing ADH2, we generated Adh2-based autotrophic strains that exhibited growth rates comparable to the parental strain (0.007 h-{superscript 1}), while reducing specific CO2 production by 53% and increasing biomass yield (YX/MeOH) by 59%. We further applied this strategy to convert previously developed autotrophic strains producing itaconic acid and lactic acid into Adh2-dependent strains. Optimizing ADH2 expression through multicopy integration resulted in strains with approximately two-fold higher molar carbon efficiency (Y(X+P)/CO2) while achieving elevated product titers--2.2-fold for itaconic acid and 3.8-fold for lactic acid--relative to the parental strains. Our findings demonstrate that alcohol dehydrogenase-mediated methanol dissimilation can significantly improve yield and productivity of autotrophic K. phaffii strains, with broad implications for sustainable bioproduction from one-carbon substrates.

Fungal-animal mutualisms remain significantly understudied, yet they represent some of the most successful partnerships known in nature. Fungal farming ambrosia beetles cultivate a consortium of fungal partners that include obligate filamentous members and yeasts. These fungi are maintained in highly specialized insect organs, termed mycangia, and are cultivated as food along the beetle galleries elaborated within host trees. Here we identify two previously described filamentous species, Raffaelea arxii and R. fusca, and the yeast, Ambrosiozyma monospora, as well as two new filamentous fungal species, Neocosmospora affinis and Graphium ambrosium, and two novel yeasts, designated Alloascoidea xylebori and Wickerhamomyces ambrosius, from beetle gallery walls and ambrosia beetle mycangia, using a protocol that minimizes biases in recovery by removal of a commonly used ethanol wash. To meet Koch-like postulates, we further demonstrate that all seven fungal species were individually competent at colonizing aposymbiotic X. affinis mycangia, thus demonstrating each as a viable mycangial mutualist. These data highlight methodological considerations that overcome previous limitations in mycangial content characterization, resulting in the discovery of new ambrosia beetle fungal partners. We further validate the fungal-animal mutualism by demonstrating specific colonization of the mycangial organ by potential fungal partners.

Chitosan is an oligosaccharide derived from chitin that is protonated at acidic pH to form a polycation. Its positive charge promotes the interaction with negatively charged components of the yeast cell surface, which has been associated with increased cell permeability and growth inhibition. In this study, we investigated the interaction of chitosan with the cell surface and its permeabilizing capacity in three yeast species displaying distinct susceptibility profiles, Saccharomyces cerevisiae, Candida albicans and Debaryomyces hansenii. We evaluated the correlation between differential susceptibility and chitosan association at the cell surface, as well as cell permeabilization, by integrating growth analyses with surface-binding assays, including FITC-conjugated chitosan to monitor surface association and cellular integration over time, and ultrastructural examination by transmission electron microscopy (TEM). Our results showed that chitosan exhibited varying effects on the growth and permeability of each yeast strain, with D. hansenii being the most susceptible. Furthermore, we observed the incorporation of chitosan onto the cell surface and confirmed its role as a permeabilizing agent. Finally, we used chitosan-induced permeabilization as a method to measure the activity of selected enzymes in situ, demonstrating its potential for studying metabolic functions in permeabilized yeast cells. Overall, our findings establish chitosan as a strain-dependent antifungal agent and a useful tool for functional biochemical analyses in yeast.

Cell size in a proliferating cell population generally varies over a limited range ([~]2-4-fold). Within such populations, organelle content increases with cell size maintaining a relatively constant organelle density (amount per cell volume). However, cells of different types can differ greatly in cell size as well as in organelle composition. In such cases, it is often unclear to what degree, if any, the differences in organelle composition are due to the difference in cell size. In principle, this issue could be resolved by examining situations where a proliferating population of cells of the same cell type exhibit much greater size variation. Here we characterize how organelle content scales with cell volume in the polymorphic fungus, A. pullulans, whose proliferating cells span a [~]100-fold size range. We find that mitochondria and ER content increases in proportion to cell volume, while this is not the case for vacuoles and peroxisomes. Thus, organelle composition is affected by cell size in this system.

In vitro cytotoxicity assessments frequently rely on staining-based methods that indirectly estimate viable cell numbers indirectly. A major limitation of many such techniques is their endpoint nature, requiring cell lysis or irreversible processing that precludes longitudinal monitoring of cellular responses following treatment. An ideal assay for evaluating cell viability and proliferation should be simple, rapid, cost-effective, reproducible, and highly sensitive, while also enabling accurate quantification with minimal interference from test compounds. The resazurin reduction assay satisfies these criteria, offering a sensitive and economical alternative to conventional tetrazolium-based methods. Although both assay types depend on the metabolic reduction of a dye by viable cells, they differ mechanistically. Tetrazolium salts (e.g., MTT) are reduced by cellular dehydrogenases to insoluble formazan crystals that require solubilization before to detection. In contrast, resazurin--a cell-permeable, non-fluorescent blue dye--is reduced to resorufin, a highly fluorescent compound detectable without additional processing steps. This property renders the resazurin assay broadly applicable to viability testing in eukaryotic cells cultured in both 2D and 3D formats, as well as in bacterial systems. Here, we present a streamlined, universal protocol for implementing the resazurin reduction assay across diverse experimental models, emphasizing its practicality, reproducibility, and adaptability for real-time viability monitoring. Key featuresO_LIReal-time, non-destructive monitoring: Enables longitudinal studies by allowing repeated measurements of the same samples over hours without toxicity or disruption. C_LIO_LIStreamlined workflow: A simple "add-incubate-read" protocol eliminates the need for cell lysis, washing, or extraction, saving time and reducing variability. C_LIO_LIBroad sample compatibility: Versatile and reliable for use with 2D monolayers, 3D spheroids, organoids, and bacterial cultures. C_LIO_LIHigh sensitivity: Fluorescent detection of resorufin provides exceptional sensitivity, enabling accurate quantification of even small viable cell populations. C_LIO_LILow background and minimal interference: A clean fluorescent readout reduces the risk of signal artifacts, offering a more reliable alternative to traditional colorimetric assays. C_LIO_LICost-effective and accessible: Utilizes standard laboratory plate readers and commercially available reagents, making it an economical choice for any lab. C_LIO_LIScalable for high-throughput screening: Easily adaptable to various plate formats, supporting both small-scale experiments and large-scale automated screening applications. C_LI Graphical overview O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/718248v1_ufig1.gif" ALT="Figure 1"> View larger version (56K): org.highwire.dtl.DTLVardef@82bcecorg.highwire.dtl.DTLVardef@14164aforg.highwire.dtl.DTLVardef@395118org.highwire.dtl.DTLVardef@fb1349_HPS_FORMAT_FIGEXP M_FIG C_FIG

The growth of cultures and formation of mucilage blooms in reaction to salt stress of cyanobacterial cultures are investigated with a focus on the influence of pH. In non-buffered medium, cultures show their pH increasing from 6.5 just after inoculation, up to 11 during the exponential phase. We record the time-evolution of concentration and pH, with different initial OD0. In a second set of experiments, we extract the doubling time of the unbuffered cultures in comparison with those inoculated in pH-buffered BG11 media at four different pH from 6.3 to 10.5 : in the most acid media, all cultures die or grow very slowly. At pH = 10.5, we obtain the fastest growth for all four strains, allowing to qualify these cyanobacteria as being alkaliphiles, though for all strains with comparable initial OD0, the doubling time is shorter for unbuffered cultures. Following a previous study [31]), we finally investigate the influence of pH on mucilage formation and biomass uplift induced by salt stress, involving EPS floculation by cations. Our results show that operating in buffered media significantly influences the mucilage formation, though the observed regimes cannot be simply correlated to the pH value.

Accurate quantification of fungi is important for a myriad of applications but remains challenging. Previously, we demonstrated that an approach called the adenine-HPLC method can quantify bacteria, including those with aggregating properties that are difficult to quantify using conventional methods, by measuring cellular adenine derived from DNA and converting the adenine amount to genome copy number, without being influenced by cell morphology. However, in this study, when this adenine-HPLC method was applied to the quantification of budding yeast as a model fungus, accurate measurement proved impossible. This limitation was attributed to adenine release from other adenine-containing biomolecules, such as RNA and ATP, and we therefore developed a method that suppresses adenine release from these molecules. This method involves reducing the temperature of the acid treatment and prewashing the cells before acid treatment. In addition, we incorporated a process that corrects for the naturally occurring free adenine level as background during total adenine measurement. The improved adenine-HPLC method based on these modifications enables accurate quantification of budding yeast using genomic DNA content in whole cells as the quantification unit.

Stationary phase in yeast and other microorganisms begins when a limiting nutrient in the environment is exhausted and cell division ceases. Most cells subsequently enter quiescence and lose viability. In spent media, without metabolic byproducts being diluted, cellular processes can modify the environment and cause the relative growth rates of different genotypes to vary over the course of stationary phase. In this work we experimentally evolve S. cerevisiae in batch culture, varying the time spent in stationary phase between growth cycles. We measure the relative fitness of the resulting adaptive clones across a range of environments: with different amounts of time in stationary phase and in two different carbon sources. By comparing the inferred performance (relative growth rate during a period of the growth cycle) of a mutant to that of its ancestor, we can estimate the effects of each observed mutation on performance during various phases of growth. We show that when an adaptive mutation emerges in growth cycles that include a stationary phase, its effect on stationary phase performance is largely independent of the type of carbon source provided. However, for the same group of mutants, mutational effects on performance in early stationary phase are negatively correlated with those effects in late stationary phase, suggesting a trade-off. We also show that increased intervals of stationary phase result in larger fitness effects of adaptive mutations and distinct routes of adaptation. Together, these results demonstrate that stationary phase consists of more than one distinct fitness-related phenotype, and that the phenotypes that allow for high performance in the first few days of stationary phase trade off with those that allow for high performance in later stationary phase.

Cyanobacteria have garnered interest as promising biological platforms for producing renewable biofuel, chemical feedstock, and bioactive molecules. For biotechnology applications, robust well-characterized genetic tools are required for genetically modifying cyanobacteria, but these tools are often developed for specific model strains. Here, we used broad host-range RSF1010-based plasmids to characterize a set of orthogonal constitutive promoters in diverse cyanobacterial strains. The promoters are random variants of the synthetic Escherichia coli PconII promoter. A library of PconII promoters driving a fluorescent reporter gene was first evaluated in Synechococcus elongatus and found to have a wide range of gene expression levels. A set of 25 promoter variants with graded strengths was selected after characterization in S. elongatus and three additional model cyanobacterial strains. To demonstrate the utility of these promoters, we isolated new genetically tractable cyanobacterial strains with high salt and alkalinity tolerance and transferred the subset of promoters into one of these newly isolated strains. Similar to the results with model strains, the subset of promoters had a wide range of expression levels in the non-model strain. These characterized promoters expand the genetic tools available for genetic engineering of model and non-model cyanobacterial strains. ImportanceThe use of cyanobacteria to produce renewable products will require engineered expression of many genes that affect cell growth, metabolism, and agronomic properties, leading to efficient production of biomass and desired products. Engineering the strength of gene transcription is an important element of overall gene expression levels. The set of constitutive promoters described here, with a wide range of expression strengths characterized in several diverse cyanobacterial strains, provides an important resource for genetic engineering required for biotechnology applications. Research AreasMicrobial genetics, plasmids and other genetic constructs, biotechnology Journal SecctionBiotechnology

BackgroundDNA polymerase activity assays are required for enzyme quality control in biotechnology and diagnostics, but standard methods rely on specialist reagents, radioactivity and other hazardous materials, or real-time PCR instruments that are not widely accessible in resource-limited settings. This constrains local production of high quality, validated reagents and increases dependence on imported enzymes. MethodsBased on experiences derived from partnerships with scientists in several low and middle-income countries (LMICs) and stakeholder consultations, we adapted a commercial EvaGreen-based fluorometric DNA polymerase activity assay for isothermal operation using minimal equipment. Assay conditions were optimized using Design of Experiments (DOE) methodology, varying temperature, reaction volume, and MgCl2 concentration. To address reagent cost and supply-chain constraints, we developed detailed protocols for in-house synthesis of the off-patent AOAO-12 DNA dye (sold commercially as EvaGreen) and generation of single-stranded DNA templates via asymmetric PCR. ResultsOptimized isothermal assay conditions (40{degrees}C, 7.75 mM MgCl2) reliably quantified activity across multiple DNA polymerase families. In-house synthesized AOAO-12 dye exhibited comparable DNA-binding performance to commercial alternatives (R{superscript 2} = 0.95), reducing costs by more than an order of magnitude when normalized to working concentrations, enabling assay costs of approximately {pound}0.001 per reaction. The assay is effective across multiple polymerases (Bst-LF, OpenVent, Taq, Q5) and is compatible with both plate readers and qByte, a low-cost, open-source fluorometric device. ConclusionsThis stakeholder-informed assay provides an accessible, cost-effective solution for DNA polymerase quality control in resource-limited settings. The combination of optimized commercial protocols and in-house reagent synthesis offers flexibility for different resource contexts, potentially improving access to molecular biology tools globally.