Yeast: an experimental organism for 21st Century biology

Genetic properties of mercury‑tolerant yeast, Pichia kudriavzevii 1P4

Mercury contamination in commercial products poses serious risks to human health and the environment. The in vitro detection methods using spectroscopy approaches are expensive and have limited practical use. Yeast-based biosensors provide a more affordable and user-friendly alternative. Therefore, the exploration of mercury tolerance yeast is essential to support the sensor properties. In this study, we investigated the mercury tolerance of 10 yeast isolates. Pichia kudriavzevii 1P4 exhibited tolerance up to 1.5 mM HgCl2 while showing slow growth phenotype as grown in 2 mM HgCl2. This is the first report to show the ability of this genus of the yeast Pichia to cope with HgCl2 stress. X-ray spectra showed Hg accumulation in yeast colonies grown in HgCl2, while none was detected in colonies grown without it. This data indicates the capability of 1P4 in the accumulation of Hg as one of the HgCl2-stress tolerance mechanisms. Whole-genome sequencing of isolate 1P4, using the MGI DNBSEQ-G400 platform, revealed a genome size of 10.8 Mbp across five chromosomes, with a GC content of 38.97%. The largest portions of the genome are involved in translation, amino acid transport, metabolism, and protein modification, based on COG analysis. Key genes potentially contributing to mercury tolerance involve efflux/inorganic ion transport system (e.g., FieF, Acr3/B, and CzcO/D-clusters) and glutathione-associated oxidative stress response (e.g., BtuE and LysX, which encoded glutathione peroxidase and glutathione synthase). Those genes were predominant in COG category of inorganic ion transport and metabolism (P) and defense mechanisms (V). The genome of 1P4 was assembled into 4753 gene clusters, where 2222 of which were shared with the other species of yeast, including Pichia membranifaciens, P. kluyveri, P. inconspicua, S. cerevisiae, and C. albicans. Meanwhile, 921 gene clusters were shared among genera of Pichia spp., only. These findings highlight the genetic profile and mercury-tolerance mechanisms of isolate 1P4, supporting its potential application as a mercury biosensor or bioremediation agent.

Beyond CEN.PK - parallel engineering of selected S. cerevisiae strains reveals that superior chassis strains require different engineering approaches for limonene production

Genetically engineered microbes are increasingly utilized to produce a broad range of high-value compounds. However, most studies start with only a very narrow group of genetically tractable type strains that have not been selected for maximum titers or industrial robustness. In this study, we used high-throughput screening and parallel metabolic engineering to identify and optimize Saccharomyces cerevisiae chassis strains for the production of limonene, a monoterpene with applications in flavors, fragrances, and biofuels. We screened 921 genetically and phenotypically distinct S. cerevisiae strains for limonene tolerance and lipid content to identify optimal chassis strains for precision fermentation of limonene. In parallel, we also evaluated 16 different plant limonene synthases. Our results revealed that two of the selected strains showed approximately a 2-fold increase in titers compared to CEN.PK2-1C, the type strain that is often used as a chassis for limonene production, with the same genetic modifications in the mevalonate pathway. Intriguingly, the most effective engineering strategy proved strain-specific. Metabolic profiling revealed that this difference is likely explained by differences in native mevalonate production. Ultimately, by using strain-specific engineering strategies, we achieved 844 mg/L in a new strain, 40 % higher than the titer (605 mg/L) achieved by CEN.PK2-1C. Our findings demonstrate the potential of leveraging genetic diversity in S. cerevisiae for monoterpene bioproduction and highlight the necessity for tailoring metabolic engineering strategies to specific strains.

Phenogenomic resources immortalized in a panel of wild-derived strains of five species of house mice

The house mouse, Mus musculus, is a widely used animal model in biomedical research, with classical laboratory strains (CLS) being the most frequently employed. However, the limited genetic variability in CLS hinders their applicability in evolutionary studies. Wild-derived strains (WDS), on the other hand, provide a suitable resource for such investigations. This study quantifies genetic and phenotypic data of 101 WDS representing 5 species, 3 subspecies, and 8 natural Y consomic strains and compares them with CLS. Genetic variability was estimated using whole mtDNA sequences, the Prdm9 gene, and copy number variation at two sex chromosome-linked genes. WDS exhibit a large natural variation with up to 2173 polymorphic sites in mitogenomes, whereas CLS display 92 sites. Moreover, while CLS have two Prdm9 alleles, WDS harbour 46 different alleles. Although CLS resemble M. m. domesticus and M. m. musculus WDS, they differ from them in 10 and 14 out of 16 phenotypic traits, respectively. The results suggest that WDS can be a useful tool in evolutionary and biomedical studies with great potential for medical applications.

A new flavor of synthetic yeast communities sees the light

No organism is an island: organisms of varying taxonomic complexity, including genetic variants of a single species, can coexist in particular niches, cooperating for survival while simultaneously competing for environmental resources. In recent years, synthetic biology strategies have witnessed a surge of efforts focused on creating artificial microbial communities to tackle pressing questions about the complexity of natural systems and the interactions that underpin them. These engineered ecosystems depend on the number and nature of their members, allowing complex cell communication designs to recreate and create diverse interactions of interest. Due to its experimental simplicity, the budding yeast Saccharomyces cerevisiae has been harnessed to establish a mixture of varied cell populations with the potential to explore synthetic ecology, metabolic bioprocessing, biosensing, and pattern formation. Indeed, engineered yeast communities enable advanced molecule detection dynamics and logic operations. Here, we present a concise overview of the state-of-the-art, highlighting examples that exploit optogenetics to manipulate, through light stimulation, key yeast phenotypes at the community level, with unprecedented spatial and temporal regulation. Hence, we envision a bright future where the application of optogenetic approaches in synthetic communities (optoecology) illuminates the intricate dynamics of complex ecosystems and drives innovations in metabolic engineering strategies.

Proteasome dynamics in response to metabolic changes

Proteasomes, essential protease complexes in protein homeostasis, adapt to metabolic changes through intracellular movements. As the executive arm of the ubiquitin-proteasome system, they selectively degrade poly-ubiquitinated proteins in an ATP-dependent process. The primary proteasome configuration involved in this degradation is the 26S proteasome, which is composed of a proteolytically active core particle flanked by two regulatory particles. In metabolically active cells, such as proliferating yeast and mammalian cancer cells, 26S proteasomes are predominantly nuclear and actively engaged in protein degradation. However, during nutrient deprivation or stress-induced quiescence, proteasome localization changes. In quiescent yeast, proteasomes initially accumulate at the nuclear envelope. During prolonged quiescence with decreased ATP levels, proteasomes exit the nucleus and are sequestered into cytoplasmic membraneless organelles, so-called proteasome storage granules (PSGs). In mammalian cells, starvation and stress trigger formation of membraneless organelles containing proteasomes and poly-ubiquitinated substrates. The proteasome condensates are motile, reversible, and contribute to stress resistance and improved fitness during aging. Proteasome condensation may involve liquid-liquid phase separation, a mechanism underlying the assembly of membraneless organelles.

Promoter choice for XKS1 overexpression impacts xylose metabolism in Saccharomyces cerevisiae

AIMS

The impact of promoter selection on the overexpression of the XKS1 gene in Saccharomyces cerevisiae is investigated with a focus on optimizing xylose metabolism for second-generation ethanol production. The goal was to identify how different promoters affect the fermentation performance of laboratory and industrial yeast strains under various media conditions.

METHODS AND RESULTS

Four constitutive promoters-TEF1p, ADH1p, PGK1p, and TDH3p-were tested to overexpress XKS1 in two strains of S. cerevisiae, one laboratory strain (BY4742) and one industrial strain (PE-2B), both engineered with a heterologous xylose isomerase pathway. The strains were evaluated in defined (YNB) and complex (YPDX) media, as well as a synthetic sugarcane hydrolysate, over a 144-h fermentation period. Promoter choice significantly influenced cell growth, xylose consumption, and ethanol production. In the laboratory strain, TEF1p yielded the highest ethanol production in YPDX, while TDH3p promoted higher biomass formation. In the industrial strain, ADH1p, TEF1p, and PGK1p led to high ethanol yields in YPDX, with ADH1p showing superior performance in the synthetic hydrolysate. RT-qPCR reveals lower XKS1 expression levels render a better trait for BY4742, while the opposite is observed for PE-2B.

CONCLUSIONS

It is demonstrated that promoter selection is crucial for optimizing XKS1 expression and xylose metabolism in S. cerevisiae. Promoters must be carefully tailored to the yeast strain and fermentation conditions to maximize ethanol production, providing strategic insights for enhancing the industrial fermentation of lignocellulosic biomass.

OsHARBI1-1 enhances cadmium tolerance in yeast through YAP1 mediated modulation of cell wall integrity genes and catalase genes

Harbinger transposase-derived 1 proteins (HARBI1s) play important roles in plant growth, development, and response to abiotic stress. OsHARBI1-1 has been identified as a gene encoding HARBI1-1 protein in rice and has been shown to be responsive to Cadmium (Cd) stress. However, the function of OsHARBI1-1 protein under heavy metal stress remains unclear. In this study, the function of a novel rice Cd-responsive gene, OsHARBI1-1, under Cd stress was characterized by heterologous expression in yeast. The heterologous expression OsHARBI1-1 conferred yeast with increased tolerance to Cd. In addition, the yeast cells expressing OsHARBI1-1 exhibited enhanced tolerance to Congo red and exhibited an increase in cell wall thickness under Cd stress, suggesting a potential correlation between increased Cd tolerance and cell wall thickness in the transgenic yeast. When OsHARBI1-1 was expressed in ∆yap1 or ∆yap1∆ycf1 yeast mutants, there was no significant difference in the tolerance of transgenic yeast to Cd and Congo red, as well as in cell wall thickness compared to the control. Meanwhile, the expression of cell wall integrity (CWI) genes and catalase genes in transgenic yeast was up-regulated in a YAP1-dependent manner under Cd or Congo red stress. The above facts supported the inference that OsHARBI1-1 may counteract Cd toxicity by enhancing the expression of YAP1, thereby increasing the thickness of the cell wall and activating the expression of catalase genes.

Equivalent Circuit Modeling and Analysis for Microfluidic Electrical Impedance Monitoring of Single-Cell Growth

Microfluidics has significantly advanced the field of single-cell analysis, particularly in studies related to cell growth, division, and heterogeneity. Electrical impedance spectroscopy (EIS), a label-free and non-invasive biosensing technique, has been integrated into microfluidic devices for high-throughput and long-term monitoring of single budding yeast cells. Accurate interpretation of EIS measurements of cell growth dynamics necessitates the establishment of theoretical equivalent circuit models for the single-cell sensing system. Here, we report on the development of equivalent circuit models of an in situ EIS sensing system to elucidate cell growth. Firstly, finite element modeling and simulation of an EIS measurement of cell growth in the EIS sensing unit were performed, guiding the fittings of electrical components for an established equivalent circuit model (ECM). From the ECM, we extracted an equivalent volume fraction applicable to various cell and sensing unit geometries to describe the geometry-dependent sensing characteristics corresponding to the electrical response in the model. Then, EIS measurements of an immobilized cell in a microfluidic device were conducted via peripheral circuits. A lumped parameter model for the entire EIS measurement system was established, with electrical components determined by fitting to experimental data. The rationality of the proposed theoretical model was validated through the long-term impedance variation induced by cell growth in experiments, demonstrating its feasibility in linking EIS data with the bio-physics underlying the experimental phenomenon.

Differential impact of divalent metals on native elongating transcript sequencing (NET-seq) protocols for RNA polymerases I and II

Throughout all domains of life, RNA polymerases (Pols) synthesize RNA from DNA templates, a process called transcription. During transcription, Pols require divalent metal cations for nucleotide addition and cleavage of the nascent RNA after misincorporation or polymerase stalling. Recently, several next-generation sequencing techniques have emerged to study transcription at single-nucleotide resolution in vivo. One such technique, native elongating transcript sequencing (NET-seq), allows for isolation of transcription elongation complexes associated with a specific Pol, defining polymerase occupancy on the DNA template. Originally developed to study RNA polymerase II (Pol II), NET-seq has been adapted for RNA polymerase I (Pol I) and bacterial RNA polymerase. We recently optimized Pol I NET-seq in Saccharomyces cerevisiae, however, we omitted nucleases and their metal cofactors, which are commonly used in Pol II NET-seq. Here, we investigated the effect of CaCl2 ± MNase and MnCl2 ± DNase I on Pol I occupancy. We found that exposure of Pol I to CaCl2 and MnCl2 during NET-seq caused a significant reduction in immunoprecipitation of nascent rRNA compared to the untreated control samples, with a more severe effect when incubated with MnCl2 vs. CaCl2. Surprisingly, in contrast to the Pol I results, we found that metal treatment during Pol II NET-seq did not have a significant effect on nascent transcript capture. Taken together, these observations reinforce the conclusion that transcription elongation complexes formed by Pols I and II have unique characteristics and emphasize the need to carefully consider experimental conditions deployed in all stages of nucleic acid library generation.

A proteome-wide yeast degron collection for the dynamic study of protein function

Genome-wide collections of yeast strains, known as libraries, revolutionized the way systematic studies are carried out. Specifically, libraries that involve a cellular perturbation, such as the deletion collection, have facilitated key biological discoveries. However, short-term rewiring and long-term accumulation of suppressor mutations often obscure the functional consequences of such perturbations. We present the AID library which supplies "on demand" protein depletion to overcome these limitations. Here, each protein is tagged with a green fluorescent protein (GFP) and an auxin-inducible degron (AID), enabling rapid protein depletion that can be quantified systematically using the GFP element. We characterized the degradation response of all strains and demonstrated its utility by revisiting seminal yeast screens for genes involved in cell cycle progression as well as mitochondrial distribution and morphology. In addition to recapitulating known phenotypes, we also uncovered proteins with previously unrecognized roles in these central processes. Hence, our tool expands our knowledge of cellular biology and physiology by enabling access to phenotypes that are central to cellular physiology and therefore rapidly equilibrated.

Genome-wide conditional degron libraries for functional genomics

Functional genomics with libraries of knockout alleles is limited to non-essential genes and convoluted by the potential accumulation of suppressor mutations in knockout backgrounds, which can lead to erroneous functional annotations. To address these limitations, we constructed genome-wide libraries of conditional alleles based on the auxin-inducible degron (AID) system for inducible degradation of AID-tagged proteins in the budding yeast Saccharomyces cerevisiae. First, we determined that N-terminal tagging is at least twice as likely to inadvertently impair protein function across the proteome. We thus constructed two libraries with over 5,600 essential and non-essential proteins fused at the C-terminus with an AID tag and an optional fluorescent protein. Approximately 90% of AID-tagged proteins were degraded in the presence of the auxin analog 5-Ph-IAA, with initial protein abundance and tag accessibility as limiting factors. Genome-wide screens for DNA damage response factors revealed a role for the glucose signaling factor GSF2 in resistance to hydroxyurea, highlighting how the AID libraries extend the yeast genetics toolbox.

Synthetic evolution of Saccharomyces cerevisiae for biomanufacturing: Approaches and applications

The yeast Saccharomyces cerevisiae is a well-studied unicellular eukaryote with a significant role in the biomanufacturing of natural products, biofuels, and bulk and value-added chemicals, as well as the principal model eukaryotic organism utilized for fundamental research. Robust tools for building and optimizing yeast chassis cells were made possible by the quick development of synthetic biology, especially in engineering evolution. In this review, we focused on methods and tools from synthetic biology that are used to design and engineer S. cerevisiae's evolution. A detailed discussion was held regarding transcriptional regulation, template-dependent and template-free approaches. Furthermore, the applications of evolved S. cerevisiae were comprehensively summarized. These included improving environmental stress tolerance and raising cell metabolic performance in the production of biofuels and bulk and value-added chemicals. Finally, the future considerations were briefly discussed.

The Saccharomyces cerevisiae ∑1278b strain is sensitive to NaCl because of mutations in its ENA1 gene

Most laboratory strains of the yeast Saccharomyces cerevisiae are incapable of invading agar, to form large colonies (mats), and to develop filament-like structures (pseudohyphae). A prominent strain that manifests these morphologies is ∑1278b. While induced transcription of the FLO11 gene is critical for executing invasive growth, mat formation, and pseudohyphal growth, downregulation of the 'general stress response' also seems to be required. As this response is weak in ∑1278b cells, we assumed that they may be sensitives to stresses. We report, however, that they are resistant to various stressors, but severely sensitive specifically to NaCl. We found that this sensitivity is a result of mutations in the single ∑1278b's ENA gene, encoding P-type sodium ATPase. Other laboratory strains harbor three to five copies of ENA, suggesting that ∑1278b was selected against Ena activity. Obtaining ∑1278b cells that can grow on NaCl allows checking its effect on colony morphologies. In the presence of NaCl, ∑1278b/ENA1+ cells do not invade agar, and do not form pseudohyphae or mats. Thus, we have found the following: (i) The ∑1278b strain differs from other laboratory strains with respect to sensitivity to NaCl, because it has no active Na+ ATPase exporter. (ii) NaCl is a suppressor of invasiveness, filamentous growth, and mat formation.

Isolation and characterization of haploid heterothallic beer yeasts

Improving ale or lager yeasts by conventional breeding is a non-trivial task. Domestication of lager yeasts, which are hybrids between Saccharomyces cerevisiae and Saccharomyces eubayanus, has led to evolved strains with severely reduced or abolished sexual reproduction capabilities, due to, e.g. postzygotic barriers. On the other hand, S. cerevisiae ale yeasts, particularly Kveik ale yeast strains, were shown to produce abundant viable spores (~ 60%; Dippel et al. Microorganisms 10(10):1922, 2022). This led us to investigate the usefulness of Kveik yeasts for conventional yeast breeding. Surprisingly, we could isolate heterothallic colonies from germinated spores of different Kveik strains. These strains presented stable mating types in confrontation assays with pheromone-sensitive tester strains. Heterothallism was due to inactivating mutations in their HO genes. These led to amino acid exchanges in the Ho protein, revealing a known G223D mutation and also a novel G217R mutation, both of which abolished mating type switching. We generated stable MATa or MATα lines of four different Kveik yeasts, named Odin, Thor, Freya and Vör. Analyses of bud scar positions in these strains revealed both axial and bipolar budding patterns. However, the ability of Freya and Vör to form viable meiotic offspring with haploid tester strains demonstrated that these strains are haploid. Fermentation analyses indicated that all four yeast strains were able to ferment maltose and maltotriose. Odin was found to share not only mutations in the HO gene, but also inactivating mutations in the PAD1 and FDC1 genes with lager yeasts, which makes this strain POF-, i.e. not able to generate phenolic off-flavours, a key feature of lager yeasts. These haploid ale yeast-derived strains may open novel avenues also for generating novel lager yeast strains by breeding or mutation and selection utilizing the power of yeast genetics, thus lifting a block that domestication of lager yeasts has brought about. KEY POINTS: • Haploid Kveik ale yeasts with stable MATa and MATα mating types were isolated. • Heterothallic strains bear mutant HO alleles leading to a novel inactivating G217R amino acid change. • One strain was found to be POF- due to inactivating mutations in the PAD1 and FDC1 gene rendering it negative for phenolic off-flavor production. • These strains are highly accessible for beer yeast improvements by conventional breeding, employing yeast genetics and mutation and selection regimes.

Wild yeast isolation by middle-school students reveals features of populations residing on North American oaks

Features of the natural life cycle of the budding yeast Saccharomyces cerevisiae were crucial to its domestication as a laboratory experimental model, especially the ability to maintain stable haploid clones and cross them at will to combine alleles via meiosis. Stable haploidy results from mutations in HO, which encodes an endonuclease required for haploid-specific mating-type switching. Previous studies found an unexpected diversity of HO alleles among natural isolates within a small geographic area. We developed a hands-on field and laboratory activity for middle-school students in Denver, CO, USA, to isolate wild yeast from oak bark, identify species via DNA sequencing, and sequence HO from S. cerevisiae isolates. We find limited HO diversity in North American oak isolates, pointing to efficient, continuous dispersal across the continent. In contrast, we isolated the "dairy yeast," Kluyveromyces lactis, from a tree <10 m away and found that it represents a new population distinct from an oak population in an adjacent state. The outreach activity partnered middle-school, high-school, and university students in making scientific discoveries and can be adapted to other locations and natural yeast habitats. Indeed, a pilot sampling activity in southeast Texas yielded S. cerevisiae oak isolates with a new allele of HO and, from a nearby prickly pear cactus, a heat-tolerant isolate of Saccharomyces paradoxus.

Evaluation of Stress Tolerance and Fermentation Performance in Commercial Yeast Strains for Industrial Applications

This study evaluates the stress tolerance and metabolic adaptability of twelve yeast strains, including eleven commercial strains from Wyeast Laboratories and one prototrophic laboratory strain, under industrially relevant conditions. Yeast strains were assessed for their fermentation performance and stress responses under glucose limitation, osmotic stress, acid stress, elevated ethanol concentrations, and temperature fluctuations. Results revealed significant variability in glucose consumption, ethanol production, and stress tolerance across strains. ACY34 and ACY84 demonstrated the highest fermentation efficiency, while ACY19 exhibited exceptional stress resilience, excelling under multiple stress conditions such as osmotic and ethanol stress. The findings highlight strain-specific performance, with some strains suited for high-yield fermentation and others excelling under challenging environmental conditions. These results provide critical insights for selecting and optimizing yeast strains tailored to specific industrial fermentation processes, contributing to improved productivity and product quality in food and beverage production.

Yeast Genome Mutagenesis With Multi-Mismatch PCR: A Rapid and Efficient Strategy for Site-Directed Mutagenesis in Saccharomyces cerevisiae

Saccharomyces cerevisiae (S. cerevisiae) provides an array of cost-effective and time-efficient methods for diverse genome modifications. Among these techniques, site-directed mutagenesis of target genes is a powerful strategy to elucidate intricate structure-function relationships and create specific mutations. While various PCR-based and CRISPR/Cas9-based methods have been developed for introducing point mutations into the S. cerevisiae genome, they often involve multiple steps. In this study, we presented a rapid and effective site-directed mutagenesis strategy using one-step multi-mismatch PCR, termed Yeast Genome Mutagenesis with Multi-mismatch PCR (YGMMP). YGMMP incorporated multiple synonymous mutations proximal to the target point mutations, along with a selection marker cassette and flanking homologous sequences, into the gene segment spanning from the desired mutation to the gene's terminus through overlap PCR. The resulting PCR product was introduced into yeast cells to facilitate the selection of target variants. As a proof of concept, we applied YGMMP to generate an ADE2 mutant. The results demonstrated that the introduction of five and nine synonymous mutations, in addition to the desired single-point mutation, yielded mutagenesis efficiencies of approximately 20% and 30%, respectively. This rapid, straightforward, and efficient method has the potential to greatly simplify site-specific modifications within the S. cerevisiae genome.

Modulation of fungal phosphate homeostasis by the plant hormone strigolactone

Inter-kingdom communication through small molecules is essential to the coexistence of organisms in an ecosystem. In soil communities, the plant root is a nexus of interactions for a remarkable number of fungi and is a source of small-molecule plant hormones that shape fungal compositions. Although hormone signaling pathways are established in plants, how fungi perceive and respond to molecules is unclear because many plant-associated fungi are recalcitrant to experimentation. Here, we develop an approach using the model fungus, Saccharomyces cerevisiae, to elucidate mechanisms of fungal response to plant hormones. Two plant hormones, strigolactone and methyl jasmonate, produce unique transcript profiles in yeast, affecting phosphate and sugar metabolism, respectively. Genetic analysis in combination with structural studies suggests that SLs require the high-affinity transporter Pho84 to modulate phosphate homeostasis. The ability to study small-molecule plant hormones in a tractable genetic system should have utility in understanding fungal-plant interactions.

Conserved signaling modules regulate filamentous growth in fungi: a model for eukaryotic cell differentiation

Eukaryotic organisms are composed of different cell types with defined shapes and functions. Specific cell types are produced by the process of cell differentiation, which is regulated by signal transduction pathways. Signaling pathways regulate cell differentiation by sensing cues and controlling the expression of target genes whose products generate cell types with specific attributes. In studying how cells differentiate, fungi have proved valuable models because of their ease of genetic manipulation and striking cell morphologies. Many fungal species undergo filamentous growth-a specialized growth pattern where cells produce elongated tube-like projections. Filamentous growth promotes expansion into new environments, including invasion into plant and animal hosts by fungal pathogens. The same signaling pathways that regulate filamentous growth in fungi also control cell differentiation throughout eukaryotes and include highly conserved mitogen-activated protein kinase (MAPK) pathways, which is the focus of this review. In many fungal species, mucin-type sensors regulate MAPK pathways to control filamentous growth in response to diverse stimuli. Once activated, MAPK pathways reorganize cell polarity, induce changes in cell adhesion, and promote the secretion of degradative enzymes that mediate access to new environments. However, MAPK pathway regulation is complicated because related pathways can share components with each other yet induce unique responses (i.e. signal specificity). In addition, MAPK pathways function in highly integrated networks with other regulatory pathways (i.e. signal integration). Here, we discuss signal specificity and integration in several yeast models (mainly Saccharomyces cerevisiae and Candida albicans) by focusing on the filamentation MAPK pathway. Because of the strong evolutionary ties between species, a deeper understanding of the regulation of filamentous growth in established models and increasingly diverse fungal species can reveal fundamentally new mechanisms underlying eukaryotic cell differentiation.

Magnetic field platform for experiments on well-mixed and spatially structured microbial populations

Magnetic fields have been shown to affect sensing, migration, and navigation in living organisms. However, the effects of magnetic fields on microorganisms largely remain to be elucidated. We develop an open-source, 3D-printed magnetic field exposure device to perform experiments on well-mixed and spatially structured microbial populations. This device is designed in AutoCAD, modeled in COMSOL, and validated using a Gaussmeter and experiments on the budding yeast Saccharomyces cerevisiae. We find that static magnetic field exposure slows the spatially structured expansion of yeast mats that expand in two dimensions, but not yeast mats that expand in three dimensions, across the surface of semi-solid yeast extract-peptone-dextrose agar media. We also find that magnetic fields do not affect the growth of planktonic yeast cells in well-mixed liquid yeast extract-peptone-dextrose media. This study provides an adaptable device for performing controlled magnetic field experiments on microbes and advances our understanding of the effects of magnetic fields on fungi.

Study of impacts of two types of cellular aging on the yeast bud morphogenesis

Understanding the mechanisms of the cellular aging processes is crucial for attempting to extend organismal lifespan and for studying age-related degenerative diseases. Yeast cells divide through budding, providing a classical biological model for studying cellular aging. With their powerful genetics, relatively short cell cycle, and well-established signaling pathways also found in animals, yeast cells offer valuable insights into the aging process. Recent experiments suggested the existence of two aging modes in yeast characterized by nucleolar and mitochondrial declines, respectively. By analyzing experimental data, this study shows that cells evolving into those two aging modes behave differently when they are young. While buds grow linearly in both modes, cells that consistently generate spherical buds throughout their lifespan demonstrate greater efficacy in controlling bud size and growth rate at young ages. A three-dimensional multiscale chemical-mechanical model was developed and used to suggest and test hypothesized impacts of aging on bud morphogenesis. Experimentally calibrated model simulations showed that during the early stage of budding, tubular bud shape in one aging mode could be generated by locally inserting new materials at the bud tip, a process guided by the polarized Cdc42 signal. Furthermore, the aspect ratio of the tubular bud could be stabilized during the late stage as observed in experiments in this work. The model simulation results suggest that the localization of new cell surface material insertion, regulated by chemical signal polarization, could be weakened due to cellular aging in yeast and other cell types, leading to the change and stabilization of the bud aspect ratio.

Genetic conflicts in budding yeast: The 2μ plasmid as a model selfish element

Antagonistic coevolution, arising from genetic conflict, can drive rapid evolution and biological innovation. Conflict can arise both between organisms and within genomes. This review focuses on budding yeasts as a model system for exploring intra- and inter-genomic genetic conflict, highlighting in particular the 2-micron (2μ) plasmid as a model selfish element. The 2μ is found widely in laboratory strains and industrial isolates of Saccharomyces cerevisiae and has long been known to cause host fitness defects. Nevertheless, the plasmid is frequently ignored in the context of genetic, fitness, and evolution studies. Here, I make a case for further exploring the evolutionary impact of the 2μ plasmid as well as other selfish elements of budding yeasts, discuss recent advances, and, finally, future directions for the field.

Marker-free genomic editing in Saccharomyces cerevisiae using universal donor templates and multiplexing CRISPR-CAS9

The budding yeast Saccharomyces cerevisiae is an excellent model organism for studying a variety of critical cellular processes. Traditional methods to knock in or -out at specific yeast loci utilize polymerase chain reaction-based techniques, in which marker cassettes with gene-specific homologies are integrated into the genome via homologous recombination. While simple and cost-effective, these methods are limited by marker availability when multiple edits are desired. More recently, CRISPR-Cas9 technology has introduced methods to edit the yeast genome without the need for selectable markers. Although efficient, this method is hindered by additional reagents and lengthy protocols to design and test unique guide RNAs and donor templates for each desired edit. In this study, we have combined these two approaches and have developed a highly efficient economical method to edit the yeast genome marker-free. We have designed two universal donor templates that efficiently repair commonly used selectable markers when targeted by a novel guideRNA-Cas9 designed to promoter regions in Ashbya gossypii found in most integration modules. Furthermore, we find our newly designed guideRNA-Cas9 successfully multiplexes when multiple markers are present. Using these new tools, we have significantly improved the cost and efficiency to generate single or multiple marker-free genetic modifications. In this study, we demonstrate the effectiveness of these new tools by marker-free ablating PRC1, PEP4, and PRB1 vacuolar proteases typically inactivated before many biochemical and membrane-trafficking studies using budding yeast.

Naming internal insertion alleles created using CRISPR in Saccharomyces cerevisiae

The budding yeast Saccharomyces cerevisiae is a powerful model organism, partly because of the ease of genome alterations due to the combination of a fast generation time and many molecular genetic tools. Recent advances in CRISPR-based systems allow for the easier creation of alleles with internally inserted sequences within the coding regions of genes, such as the internal insertion of sequences that code for epitopes or fluorescent proteins. Here we briefly summarize some exisiting nomenclature standards and suggest nomenclature guidelines for internal insertion alleles which are informative, consistent, and computable.

Multi-omics analysis of green lineage osmotic stress pathways unveils crucial roles of different cellular compartments

Maintenance of water homeostasis is a fundamental cellular process required by all living organisms. Here, we use the single-celled green alga Chlamydomonas reinhardtii to establish a foundational understanding of osmotic-stress signaling pathways through transcriptomics, phosphoproteomics, and functional genomics approaches. Comparison of pathways identified through these analyses with yeast and Arabidopsis allows us to infer their evolutionary conservation and divergence across these lineages. 76 genes, acting across diverse cellular compartments, were found to be important for osmotic-stress tolerance in Chlamydomonas through their functions in cytoskeletal organization, potassium transport, vesicle trafficking, mitogen-activated protein kinase and chloroplast signaling. We show that homologs for five of these genes have conserved functions in stress tolerance in Arabidopsis and reveal a novel PROFILIN-dependent stage of acclimation affecting the actin cytoskeleton that ensures tissue integrity upon osmotic stress. This study highlights the conservation of the stress response in algae and land plants, and establishes Chlamydomonas as a unicellular plant model system to dissect the osmotic stress signaling pathway.

Wild yeast isolation by middle school students reveals features of North American oak populations of Saccharomyces cerevisiae and Kluyveromyces lactis

Features of the natural life cycle of the budding yeast Saccharomyces cerevisiae were crucial to its domestication as a laboratory experimental model, especially the ability to maintain stable haploid clones and cross them at will to combine alleles via meiosis. Stable haploidy results from mutations in HO, which encodes an endonuclease required for haploid-specific mating-type switching. Previous studies found an unexpected diversity of HO alleles among natural isolates within a small geographic area. We developed a hands-on field and laboratory activity for middle school students in Denver, Colorado, USA to isolate wild yeast from oak bark, identify species via DNA sequencing, and sequence HO from S. cerevisiae isolates. We find limited HO diversity in North American oak isolates, pointing to efficient, continuous dispersal across the continent. By contrast, we isolated the "dairy yeast", Kluyveromyces lactis, from a tree <10 m away and found that it represents a new population distinct from an oak population in an adjacent state, pointing to high genetic diversity. The outreach activity partnered middle school, high school, and university students in making scientific discoveries and can be adapted to other locations and natural yeast habitats. Indeed, a pilot sampling activity in southeast Texas yielded S. cerevisiae oak isolates with a new allele of HO and, from a nearby prickly pear cactus, a heat-tolerant isolate of Saccharomyces paradoxus.

What are the 100 most cited fungal genera?

The global diversity of fungi has been estimated between 2 to 11 million species, of which only about 155 000 have been named. Most fungi are invisible to the unaided eye, but they represent a major component of biodiversity on our planet, and play essential ecological roles, supporting life as we know it. Although approximately 20 000 fungal genera are presently recognised, the ecology of most remains undetermined. Despite all this diversity, the mycological community actively researches some fungal genera more commonly than others. This poses an interesting question: why have some fungal genera impacted mycology and related fields more than others? To address this issue, we conducted a bibliometric analysis to identify the top 100 most cited fungal genera. A thorough database search of the Web of Science, Google Scholar, and PubMed was performed to establish which genera are most cited. The most cited 10 genera are Saccharomyces, Candida, Aspergillus, Fusarium, Penicillium, Trichoderma, Botrytis, Pichia, Cryptococcus and Alternaria. Case studies are presented for the 100 most cited genera with general background, notes on their ecology and economic significance and important research advances. This paper provides a historic overview of scientific research of these genera and the prospect for further research. Citation: Bhunjun CS, Chen YJ, Phukhamsakda C, Boekhout T, Groenewald JZ, McKenzie EHC, Francisco EC, Frisvad JC, Groenewald M, Hurdeal VG, Luangsa-ard J, Perrone G, Visagie CM, Bai FY, Błaszkowski J, Braun U, de Souza FA, de Queiroz MB, Dutta AK, Gonkhom D, Goto BT, Guarnaccia V, Hagen F, Houbraken J, Lachance MA, Li JJ, Luo KY, Magurno F, Mongkolsamrit S, Robert V, Roy N, Tibpromma S, Wanasinghe DN, Wang DQ, Wei DP, Zhao CL, Aiphuk W, Ajayi-Oyetunde O, Arantes TD, Araujo JC, Begerow D, Bakhshi M, Barbosa RN, Behrens FH, Bensch K, Bezerra JDP, Bilański P, Bradley CA, Bubner B, Burgess TI, Buyck B, Čadež N, Cai L, Calaça FJS, Campbell LJ, Chaverri P, Chen YY, Chethana KWT, Coetzee B, Costa MM, Chen Q, Custódio FA, Dai YC, Damm U, de Azevedo Santiago ALCM, De Miccolis Angelini RM, Dijksterhuis J, Dissanayake AJ, Doilom M, Dong W, Alvarez-Duarte E, Fischer M, Gajanayake AJ, Gené J, Gomdola D, Gomes AAM, Hausner G, He MQ, Hou L, Iturrieta-González I, Jami F, Jankowiak R, Jayawardena RS, Kandemir H, Kiss L, Kobmoo N, Kowalski T, Landi L, Lin CG, Liu JK, Liu XB, Loizides M, Luangharn T, Maharachchikumbura SSN, Makhathini Mkhwanazi GJ, Manawasinghe IS, Marin-Felix Y, McTaggart AR, Moreau PA, Morozova OV, Mostert L, Osiewacz HD, Pem D, Phookamsak R, Pollastro S, Pordel A, Poyntner C, Phillips AJL, Phonemany M, Promputtha I, Rathnayaka AR, Rodrigues AM, Romanazzi G, Rothmann L, Salgado-Salazar C, Sandoval-Denis M, Saupe SJ, Scholler M, Scott P, Shivas RG, Silar P, Souza-Motta CM, Silva-Filho AGS, Spies CFJ, Stchigel AM, Sterflinger K, Summerbell RC, Svetasheva TY, Takamatsu S, Theelen B, Theodoro RC, Thines M, Thongklang N, Torres R, Turchetti B, van den Brule T, Wang XW, Wartchow F, Welti S, Wijesinghe SN, Wu F, Xu R, Yang ZL, Yilmaz N, Yurkov A, Zhao L, Zhao RL, Zhou N, Hyde KD, Crous PW (2024). What are the 100 most cited fungal genera? Studies in Mycology 108: 1-411. doi: 10.3114/sim.2024.108.01.

Large enrichments in fatty acid 2H/1H ratios distinguish respiration from aerobic fermentation in yeast Saccharomyces cerevisiae

Shifts in the hydrogen stable isotopic composition (2H/1H ratio) of lipids relative to water (lipid/water 2H-fractionation) at natural abundances reflect different sources of the central cellular reductant, NADPH, in bacteria. Here, we demonstrate that lipid/water 2H-fractionation (2εfattyacid/water) can also constrain the relative importance of key NADPH pathways in eukaryotes. We used the metabolically flexible yeast Saccharomyces cerevisiae, a microbial model for respiratory and fermentative metabolism in industry and medicine, to investigate 2εfattyacid/water. In chemostats, fatty acids from glycerol-respiring cells were >550‰ 2H-enriched compared to those from cells aerobically fermenting sugars via overflow metabolism, a hallmark feature in cancer. Faster growth decreased 2H/1H ratios, particularly in glycerol-respiring cells by 200‰. Variations in the activities and kinetic isotope effects among NADP+-reducing enzymes indicate cytosolic NADPH supply as the primary control on 2εfattyacid/water. Contributions of cytosolic isocitrate dehydrogenase (cIDH) to NAPDH production drive large 2H-enrichments with substrate metabolism (cIDH is absent during fermentation but contributes up to 20 percent NAPDH during respiration) and slower growth on glycerol (11 percent more NADPH from cIDH). Shifts in NADPH demand associated with cellular lipid abundance explain smaller 2εfattyacid/water variations (<30‰) with growth rate during fermentation. Consistent with these results, tests of murine liver cells had 2H-enriched lipids from slower-growing, healthy respiring cells relative to fast-growing, fermenting hepatocellular carcinoma. Our findings point to the broad potential of lipid 2H/1H ratios as a passive natural tracker of eukaryotic metabolism with applications to distinguish health and disease, complementing studies that rely on complex isotope-tracer addition methods.

The rate of adaptive molecular evolution in wild and domesticated Saccharomyces cerevisiae populations

Through its fermentative capacities, Saccharomyces cerevisiae was central in the development of civilisation during the Neolithic period, and the yeast remains of importance in industry and biotechnology, giving rise to bona fide domesticated populations. Here, we conduct a population genomic study of domesticated and wild populations of S. cerevisiae. Using coalescent analyses, we report that the effective population size of yeast populations decreased since the divergence with S. paradoxus. We fitted models of distributions of fitness effects to infer the rate of adaptive (ω a ) and non-adaptive (ω na ) non-synonymous substitutions in protein-coding genes. We report an overall limited contribution of positive selection to S. cerevisiae protein evolution, albeit with higher rates of adaptive evolution in wild compared to domesticated populations. Our analyses revealed the signature of background selection and possibly Hill-Robertson interference, as recombination was found to be negatively correlated withω na and positively correlated withω a . However, the effect of recombination onω a was found to be labile, as it is only apparent after removing the impact of codon usage bias on the synonymous site frequency spectrum and disappears if we control for the correlation withω na , suggesting that it could be an artefact of the decreasing population size. Furthermore, the rate of adaptive non-synonymous substitutions is significantly correlated with the residue solvent exposure, a relation that cannot be explained by the population's demography. Together, our results provide a detailed characterisation of adaptive mutations in protein-coding genes across S. cerevisiae populations.

Penetrating the ultra-tough yeast cell wall with finite element analysis model-aided design of microtools

Microinjecting yeast cells has been challenging for decades with no significant breakthrough due to the ultra-tough cell wall and low stiffness of the traditional injector tip at the micro-scale. Penetrating this protection wall is the key step for artificially bringing foreign substance into the yeast. In this paper, a yeast cell model was built by using finite element analysis (FEA) method to analyze the penetrating process. The key parameters of the yeast cell wall in the model (the Young's modulus, the shear modulus, and the Lame constant) were calibrated according to a general nanoindentation experiment. Then by employing the calibrated model, the injection parameters were optimized to minimize the cell damage (the maximum cell deformation at the critical stress of the cell wall). Key guidelines were suggested for penetrating the cell wall during microinjection.

Tools for live-cell imaging of cytoskeletal and nuclear behavior in the unconventional yeast, Aureobasidium pullulans

Aureobasidium pullulans is a ubiquitous fungus with a wide variety of morphologies and growth modes including "typical" single-budding yeast, and interestingly, larger multinucleate yeast than can make multiple buds in a single cell cycle. The study of A. pullulans promises to uncover novel cell biology, but currently tools are lacking to achieve this goal. Here, we describe initial components of a cell biology toolkit for A. pullulans, which is used to express and image fluorescent probes for nuclei as well as components of the cytoskeleton. These tools allowed live-cell imaging of the multinucleate and multibudding cycles, revealing highly synchronous mitoses in multinucleate yeast that occur in a semiopen manner with an intact but permeable nuclear envelope. These findings open the door to using this ubiquitous polyextremotolerant fungus as a model for evolutionary cell biology.

Budding yeast as an ideal model for elucidating the role of N6-methyladenosine in regulating gene expression

N6-methyladenosine (m6A) is a highly abundant and evolutionarily conserved messenger RNA (mRNA) modification. This modification is installed on RRACH motifs on mRNAs by a hetero-multimeric holoenzyme known as m6A methyltransferase complex (MTC). The m6A mark is then recognised by a group of conserved proteins known as the YTH domain family proteins which guide the mRNA for subsequent downstream processes that determine its fate. In yeast, m6A is installed on thousands of mRNAs during early meiosis by a conserved MTC and the m6A-modified mRNAs are read by the YTH domain-containing protein Mrb1/Pho92. In this review, we aim to delve into the recent advances in our understanding of the regulation and roles of m6A in yeast meiosis. We will discuss the potential functions of m6A in mRNA translation and decay, unravelling their significance in regulating gene expression. We propose that yeast serves as an exceptional model organism for the study of fundamental molecular mechanisms related to the function and regulation of m6A-modified mRNAs. The insights gained from yeast research not only expand our knowledge of mRNA modifications and their molecular roles but also offer valuable insights into the broader landscape of eukaryotic posttranscriptional regulation of gene expression.

More than Just Bread and Wine: Using Yeast to Understand Inherited Cytochrome Oxidase Deficiencies in Humans

Inherited defects in cytochrome c oxidase (COX) are associated with a substantial subset of diseases adversely affecting the structure and function of the mitochondrial respiratory chain. This multi-subunit enzyme consists of 14 subunits and numerous cofactors, and it requires the function of some 30 proteins to assemble. COX assembly was first shown to be the primary defect in the majority of COX deficiencies 36 years ago. Over the last three decades, most COX assembly genes have been identified in the yeast Saccharomyces cerevisiae, and studies in yeast have proven instrumental in testing the impact of mutations identified in patients with a specific COX deficiency. The advent of accessible genome-wide sequencing capabilities has led to more patient mutations being identified, with the subsequent identification of several new COX assembly factors. However, the lack of genotype-phenotype correlations and the large number of genes involved in generating a functional COX mean that functional studies must be undertaken to assign a genetic variant as being causal. In this review, we provide a brief overview of the use of yeast as a model system and briefly compare the COX assembly process in yeast and humans. We focus primarily on the studies in yeast that have allowed us to both identify new COX assembly factors and to demonstrate the pathogenicity of a subset of the mutations that have been identified in patients with inherited defects in COX. We conclude with an overview of the areas in which studies in yeast are likely to continue to contribute to progress in understanding disease arising from inherited COX deficiencies.

Study of Impacts of Two Types of Cellular Aging on the Yeast Bud Morphogenesis

Understanding the mechanisms of cellular aging processes is crucial for attempting to extend organismal lifespan and for studying age-related degenerative diseases. Yeast cells divide through budding, providing a classical biological model for studying cellular aging. With their powerful genetics, relatively short lifespan and well-established signaling pathways also found in animals, yeast cells offer valuable insights into the aging process. Recent experiments suggested the existence of two aging modes in yeast characterized by nucleolar and mitochondrial declines, respectively. In this study, by analyzing experimental data it was shown that cells evolving into those two aging modes behave differently when they are young. While buds grow linearly in both modes, cells that consistently generate spherical buds throughout their lifespan demonstrate greater efficacy in controlling bud size and growth rate at young ages. A three-dimensional chemical-mechanical model was developed and used to suggest and test hypothesized mechanisms of bud morphogenesis during aging. Experimentally calibrated simulations showed that tubular bud shape in one aging mode could be generated by locally inserting new materials at the bud tip guided by the polarized Cdc42 signal during the early stage of budding. Furthermore, the aspect ratio of the tubular bud could be stabilized during the late stage, as observed in experiments, through a reduction on the new cell surface material insertion or an expansion of the polarization site. Thus model simulations suggest the maintenance of new cell surface material insertion or chemical signal polarization could be weakened due to cellular aging in yeast and other cell types.

A CUG codon-adapted anchor-away toolkit for functional analysis of genes in Candida albicans

Promoter shutoff of essential genes in the diploid Candida albicans has often been insufficient to create tight, conditional null alleles due to leaky expression and has been a stumbling block in pathogenesis research. Moreover, homozygous deletion of non-essential genes has often been problematic due to the frequent aneuploidy in the mutant strains. Rapid, conditional depletion of essential genes by the anchor-away strategy has been successfully employed in Saccharomyces cerevisiae and other model organisms. Here, rapamycin mediates the dimerization of human FK506-binding protein (FKBP12) and FKBP12-rapamycin-binding (FRB) domain-containing target protein, resulting in relocalization to altered sub-cellular locations. In this work, we used the ribosomal protein Rpl13 as the anchor and took two nuclear proteins as targets to construct a set of mutants in a proof-of-principle approach. We first constructed a rapamycin-resistant C. albicans strain by introducing a dominant mutation in the CaTOR1 gene and a homozygous deletion of RBP1, the ortholog of FKBP12, a primary target of rapamycin. The FKBP12 and the FRB coding sequences were then CUG codon-adapted for C. albicans by site-directed mutagenesis. Anchor-away strains expressing the essential TBP1 gene or the non-essential SPT8 gene as FRB fusions were constructed. We found that rapamycin caused rapid cessation of growth of the TBP-AA strain within 15 minutes and the SPT8-AA strain phenocopied the constitutive filamentous phenotype of the spt8Δ/spt8Δ mutant. Thus, the anchor-away toolbox for C. albicans developed here can be employed for genome-wide analysis to identify gene function in a rapid and reliable manner, further accelerating anti-fungal drug development in C. albicans.

IMPORTANCE

Molecular genetic studies thus far have identified ~27% open-reading frames as being essential for the vegetative growth of Candida albicans in rich medium out of a total 6,198 haploid set of open reading frames. However, a major limitation has been to construct rapid conditional alleles of essential C. albicans genes with near quantitative depletion of encoded proteins. Here, we have developed a toolbox for rapid and conditional depletion of genes that would aid studies of gene function of both essential and non-essential genes.

The origins of the Guinness stout yeast

Beer is made via the fermentation of an aqueous extract predominantly composed of malted barley flavoured with hops. The transforming microorganism is typically a single strain of Saccharomyces cerevisiae, and for the majority of major beer brands the yeast strain is a unique component. The present yeast used to make Guinness stout brewed in Dublin, Ireland, can be traced back to 1903, but its origins are unknown. To that end, we used Illumina and Nanopore sequencing to generate whole-genome sequencing data for a total of 22 S. cerevisiae yeast strains: 16 from the Guinness collection and 6 other historical Irish brewing. The origins of the Guinness yeast were determined with a SNP-based analysis, demonstrating that the Guinness strains occupy a distinct group separate from other historical Irish brewing yeasts. Assessment of chromosome number, copy number variation and phenotypic evaluation of key brewing attributes established Guinness yeast-specific SNPs but no specific chromosomal amplifications. Our analysis also demonstrated the effects of yeast storage on phylogeny. Altogether, our results suggest that the Guinness yeast used today is related to the first deposited Guinness yeast; the 1903 Watling Laboratory Guinness yeast.

From beer to breadboards: yeast as a force for biological innovation

The history of yeast Saccharomyces cerevisiae, aka brewer's or baker's yeast, is intertwined with our own. Initially domesticated 8,000 years ago to provide sustenance to our ancestors, for the past 150 years, yeast has served as a model research subject and a platform for technology. In this review, we highlight many ways in which yeast has served to catalyze the fields of functional genomics, genome editing, gene-environment interaction investigation, proteomics, and bioinformatics-emphasizing how yeast has served as a catalyst for innovation. Several possible futures for this model organism in synthetic biology, drug personalization, and multi-omics research are also presented.

yEvo: A modular eukaryotic genetics and evolution research experience for high school students

The resources for carrying out and analyzing microbial evolution experiments have become more accessible, making it possible to expand these studies beyond the research laboratory and into the classroom. We developed five connected, standards-aligned yeast evolution laboratory modules, called "yEvo," for high school students. The modules enable students to take agency in answering open-ended research questions. In Module 1, students evolve baker's yeast to tolerate an antifungal drug, and in subsequent modules, investigate how evolved yeasts adapted to this stressful condition at both the phenotype and genotype levels. We used pre- and post-surveys from 72 students at two different schools and post-interviews with students and teachers to assess our program goals and guide module improvement over 3 years. We measured changes in student conceptions, confidence in scientific practices, and interest in STEM careers. Students who participated in yEvo showed improvements in understanding of activity-specific concepts and reported increased confidence in designing a valid biology experiment. Student experimental data replicated literature findings and has led to new insights into antifungal resistance. The modules and provided materials, alongside "proof of concept" evaluation metrics, will serve as a model for other university researchers and K - 16 classrooms interested in engaging in open-ended research questions using yeast as a model system.

Role of Mitochondrial DNA in Yeast Replicative Aging

Despite the diverse manifestations of aging across different species, some common aging features and underlying mechanisms are shared. In particular, mitochondria appear to be among the most vulnerable systems in both metazoa and fungi. In this review, we discuss how mitochondrial dysfunction is related to replicative aging in the simplest eukaryotic model, the baker's yeast Saccharomyces cerevisiae. We discuss a chain of events that starts from asymmetric distribution of mitochondria between mother and daughter cells. With age, yeast mother cells start to experience a decrease in mitochondrial transmembrane potential and, consequently, a decrease in mitochondrial protein import efficiency. This induces mitochondrial protein precursors in the cytoplasm, the loss of mitochondrial DNA (mtDNA), and at the later stages - cell death. Interestingly, yeast strains without mtDNA can have either increased or decreased lifespan compared to the parental strains with mtDNA. The direction of the effect depends on their ability to activate compensatory mechanisms preventing or mitigating negative consequences of mitochondrial dysfunction. The central role of mitochondria in yeast aging and death indicates that it is one of the most complex and, therefore, deregulation-prone systems in eukaryotic cells.

Visioning synthetic futures for yeast research within the context of current global techno-political trends

Yeast research is entering into a new period of scholarship, with new scientific tools, new questions to ask and new issues to consider. The politics of emerging and critical technology can no longer be separated from the pursuit of basic science in fields, such as synthetic biology and engineering biology. Given the intensifying race for technological leadership, yeast research is likely to attract significant investment from government, and that it offers huge opportunities to the curious minded from a basic research standpoint. This article provides an overview of new directions in yeast research with a focus on Saccharomyces cerevisiae, and places these trends in their geopolitical context. At the highest level, yeast research is situated within the ongoing convergence of the life sciences with the information sciences. This convergent effect is most strongly pronounced in areas of AI-enabled tools for the life sciences, and the creation of synthetic genomes, minimal genomes, pan-genomes, neochromosomes and metagenomes using computer-assisted design tools and methodologies. Synthetic yeast futures encompass basic and applied science questions that will be of intense interest to government and nongovernment funding sources. It is essential for the yeast research community to map and understand the context of their research to ensure their collaborations turn global challenges into research opportunities.

Saccharomyces cerevisiae as a tool for deciphering Hsp90 molecular chaperone function

Yeast is a valuable model organism for their ease of genetic manipulation, rapid growth rate, and relative similarity to higher eukaryotes. Historically, Saccharomyces cerevisiae has played a major role in discovering the function of complex proteins and pathways that are important for human health and disease. Heat shock protein 90 (Hsp90) is a molecular chaperone responsible for the stabilization and activation of hundreds of integral members of the cellular signaling network. Much important structural and functional work, including many seminal discoveries in Hsp90 biology are the direct result of work carried out in S. cerevisiae. Here, we have provided a brief overview of the S. cerevisiae model system and described how this eukaryotic model organism has been successfully applied to the study of Hsp90 chaperone function.

Long non-coding RNA and ribosomal protein genes in a yeast ageing model: an investigation for undergraduate research-based learning

The unicellular yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe are widely used eukaryotic model organisms. Research exploiting the tractability of these model systems has contributed significantly to our understanding of a wide range of fundamental processes. In this article, we outline the features of yeast that have similarly been exploited for undergraduate research training. We selected examples from published literature that demonstrate the utility of the yeast system for research-based learning embedded in the curriculum. We further describe a project which we designed for the team-based final-year dissertation projects module on our transnational joint programme, which investigates whether the expression and functions of the budding yeast RPL36 ribosomal protein paralogs are influenced by the overlapping long non-coding RNA genes. Students carry out the experimental procedures in a 2-week timetabled teaching block and exercise widely applicable biochemical techniques, including aseptic yeast cell culture and sample collection, RNA isolation, qRT-PCR quantitation, protein extraction and Western blot analysis, and cell cycle progression patterns using light microscopy and flow cytometry. It is challenging to design training programmes for undergraduates that are meaningful as well as practical and economical, but it is possible to transform active research projects into authentic research experiences. We consider yeast to be an ideal model organism for such projects. These can be adapted to the constraints of course schedules and explore fundamental biochemical topics which are evolutionarily conserved from yeast to mammals.

Identification and characterization of protein interactions with the major Niemann-Pick type C disease protein in yeast reveals pathways of therapeutic potential

Niemann-Pick type C (NP-C) disease is a rare lysosomal storage disease caused by mutations in NPC1 (95% cases) or NPC2 (5% cases). These proteins function together in cholesterol egress from the lysosome, whereby upon mutation, cholesterol and other lipids accumulate causing major pathologies. However, it is not fully understood how cholesterol is transported from NPC1 residing at the lysosomal membrane to the endoplasmic reticulum (ER) and plasma membrane. The yeast ortholog of NPC1, Niemann-Pick type C-related protein-1 (Ncr1), functions similarly to NPC1; when transfected into a mammalian cell lacking NPC1, Ncr1 rescues the diagnostic hallmarks of cholesterol and sphingolipid accumulation. Here, we aimed to identify and characterize protein-protein interactions (PPIs) with the yeast Ncr1 protein. A genome-wide split-ubiquitin membrane yeast two-hybrid (MYTH) protein interaction screen identified 11 ER membrane-localized, full-length proteins interacting with Ncr1 at the lysosomal/vacuolar membrane. These highlight the importance of ER-vacuole membrane interface and include PPIs with the Cyb5/Cbr1 electron transfer system, the ceramide synthase complex, and the Sec61/Sbh1 protein translocation complex. These PPIs were not detected in a sterol auxotrophy condition and thus depend on normal sterol metabolism. To provide biological context for the Ncr1-Cyb5 PPI, a yeast strain lacking this PPI (via gene deletions) exhibited altered levels of sterols and sphingolipids including increased levels of glucosylceramide that mimic NP-C disease. Overall, the results herein provide new physical and genetic interaction models to further use the yeast model of NP-C disease to better understand human NP-C disease.

Construction of versatile yeast plasmid vectors transferable by Agrobacterium-mediated transformation and their application to bread-making yeast strains

Agrobacterium-mediated transformation (AMT) potentially has great advantages over other DNA introduction methods: e.g., long DNA and numerous recipient strains can be dealt with at a time merely by co-cultivation with donor Agrobacterium cells. However, AMT was applied only to several laboratory yeast strains, and has never been considered as a standard gene-introduction method for yeast species. To disseminate the AMT method in yeast species, it is necessary to develop versatile AMT plasmid vectors including shuttle type ones, which have been unavailable yet for yeasts. In this study, we constructed a series of AMT plasmid vectors that consist of replicative (shuttle)- and integrative-types and harbor a gene conferring resistance to either G418 or aureobasidin A for application to prototrophic yeast strains. The vectors were successfully applied to five industrial yeast strains belonging to Saccharomyces cerevisiae after a modification of a previous AMT protocol, i.e., simply inputting a smaller number of yeast cells to the co-cultivation than that in the previous protocol. The revised protocol enabled all five yeast strains to generate recombinant colonies not only at high efficiency using replicative-type vectors, but also readily at an efficiency around 10-5 using integrative one. Further modification of the protocol demonstrated AMT for multiple yeast strains at a time with less labor. Therefore, AMT would facilitate molecular genetic approaches to many yeast strains in basic and applied sciences.

Dual Noncanonical Amino Acid Incorporation Enabling Chemoselective Protein Modification at Two Distinct Sites in Yeast

Incorporation of more than one noncanonical amino acid (ncAA) within a single protein endows the resulting construct with multiple useful features such as augmented molecular recognition or covalent cross-linking capabilities. Herein, for the first time, we demonstrate the incorporation of two chemically distinct ncAAs into proteins biosynthesized in Saccharomyces cerevisiae. To complement ncAA incorporation in response to the amber (TAG) stop codon in yeast, we evaluated opal (TGA) stop codon suppression using three distinct orthogonal translation systems. We observed selective TGA readthrough without detectable cross-reactivity from host translation components. Readthrough efficiency at TGA was modulated by factors including the local nucleotide environment, gene deletions related to the translation process, and the identity of the suppressor tRNA. These observations facilitated systematic investigation of dual ncAA incorporation in both intracellular and yeast-displayed protein constructs, where we observed efficiencies up to 6% of wild-type protein controls. The successful display of doubly substituted proteins enabled the exploration of two critical applications on the yeast surface─(A) antigen binding functionality and (B) chemoselective modification with two distinct chemical probes through sequential application of two bioorthogonal click chemistry reactions. Lastly, by utilizing a soluble form of a doubly substituted construct, we validated the dual incorporation system using mass spectrometry and demonstrated the feasibility of conducting selective labeling of the two ncAAs sequentially using a "single-pot" approach. Overall, our work facilitates the addition of a 22nd amino acid to the genetic code of yeast and expands the scope of applications of ncAAs for basic biological research and drug discovery.

Mitochondrial networks through the lens of mathematics

Mitochondria serve a wide range of functions within cells, most notably via their production of ATP. Although their morphology is commonly described as bean-like, mitochondria often form interconnected networks within cells that exhibit dynamic restructuring through a variety of physical changes. Further, though relationships between form and function in biology are well established, the extant toolkit for understanding mitochondrial morphology is limited. Here, we emphasize new and established methods for quantitatively describing mitochondrial networks, ranging from unweighted graph-theoretic representations to multi-scale approaches from applied topology, in particular persistent homology. We also show fundamental relationships between mitochondrial networks, mathematics, and physics, using ideas of graph planarity and statistical mechanics to better understand the full possible morphological space of mitochondrial network structures. Lastly, we provide suggestions for how examination of mitochondrial network form through the language of mathematics can inform biological understanding, and vice versa.

Homo cerevisiae-Leveraging Yeast for Investigating Protein-Protein Interactions and Their Role in Human Disease

Understanding how genetic variation affects phenotypes represents a major challenge, particularly in the context of human disease. Although numerous disease-associated genes have been identified, the clinical significance of most human variants remains unknown. Despite unparalleled advances in genomics, functional assays often lack sufficient throughput, hindering efficient variant functionalization. There is a critical need for the development of more potent, high-throughput methods for characterizing human genetic variants. Here, we review how yeast helps tackle this challenge, both as a valuable model organism and as an experimental tool for investigating the molecular basis of phenotypic perturbation upon genetic variation. In systems biology, yeast has played a pivotal role as a highly scalable platform which has allowed us to gain extensive genetic and molecular knowledge, including the construction of comprehensive interactome maps at the proteome scale for various organisms. By leveraging interactome networks, one can view biology from a systems perspective, unravel the molecular mechanisms underlying genetic diseases, and identify therapeutic targets. The use of yeast to assess the molecular impacts of genetic variants, including those associated with viral interactions, cancer, and rare and complex diseases, has the potential to bridge the gap between genotype and phenotype, opening the door for precision medicine approaches and therapeutic development.

Rapid, scalable, combinatorial genome engineering by marker-less enrichment and recombination of genetically engineered loci in yeast

A major challenge to rationally building multi-gene processes in yeast arises due to the combinatorics of combining all of the individual edits into the same strain. Here, we present a precise and multi-site genome editing approach that combines all edits without selection markers using CRISPR-Cas9. We demonstrate a highly efficient gene drive that selectively eliminates specific loci by integrating CRISPR-Cas9-mediated double-strand break (DSB) generation and homology-directed recombination with yeast sexual assortment. The method enables marker-less enrichment and recombination of genetically engineered loci (MERGE). We show that MERGE converts single heterologous loci to homozygous loci at ∼100% efficiency, independent of chromosomal location. Furthermore, MERGE is equally efficient at converting and combining multiple loci, thus identifying compatible genotypes. Finally, we establish MERGE proficiency by engineering a fungal carotenoid biosynthesis pathway and most of the human α-proteasome core into yeast. Therefore, MERGE lays the foundation for scalable, combinatorial genome editing in yeast.

Nuclear genome organization in fungi: from gene folding to Rabl chromosomes

Comparative genomics has recently provided unprecedented insights into the biology and evolution of the fungal lineage. In the postgenomics era, a major research interest focuses now on detailing the functions of fungal genomes, i.e. how genomic information manifests into complex phenotypes. Emerging evidence across diverse eukaryotes has revealed that the organization of DNA within the nucleus is critically important. Here, we discuss the current knowledge on the fungal genome organization, from the association of chromosomes within the nucleus to topological structures at individual genes and the genetic factors required for this hierarchical organization. Chromosome conformation capture followed by high-throughput sequencing (Hi-C) has elucidated how fungal genomes are globally organized in Rabl configuration, in which centromere or telomere bundles are associated with opposite faces of the nuclear envelope. Further, fungal genomes are regionally organized into topologically associated domain-like (TAD-like) chromatin structures. We discuss how chromatin organization impacts the proper function of DNA-templated processes across the fungal genome. Nevertheless, this view is limited to a few fungal taxa given the paucity of fungal Hi-C experiments. We advocate for exploring genome organization across diverse fungal lineages to ensure the future understanding of the impact of nuclear organization on fungal genome function.

Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization

Synthetic genome evolution provides a dynamic approach for systematically and straightforwardly exploring evolutionary processes. Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) is an evolutionary system intrinsic to the synthetic yeast genome that can rapidly drive structural variations. Here, we detect over 260 000 rearrangement events after the SCRaMbLEing of a yeast strain harboring 5.5 synthetic yeast chromosomes (synII, synIII, synV, circular synVI, synIXR and synX). Remarkably, we find that the rearrangement events exhibit a specific landscape of frequency. We further reveal that the landscape is shaped by the combined effects of chromatin accessibility and spatial contact probability. The rearrangements tend to occur in 3D spatially proximal and chromatin-accessible regions. The enormous numbers of rearrangements mediated by SCRaMbLE provide a driving force to potentiate directed genome evolution, and the investigation of the rearrangement landscape offers mechanistic insights into the dynamics of genome evolution.