Abstract
Torulaspora microellipsoides is an under-characterized budding yeast of the Saccharomycetaceae family that is primarily associated with viticulture. Here we report for the first time to our knowledge that T. microellipsoides undergoes a low-frequency morphological switch from small budding haploid (white) yeast to larger, higher ploidy (opaque) yeast. Comparison of transcriptomes by mRNA-seq revealed 511 differentially regulated genes, with white cells having greater expression of genes involved in stress resistance and complex carbohydrate utilization, and opaque cells up-regulating genes involved in ribosome biogenesis. Growth assays showed that white cells are physiologically more resistant to stationary-phase conditions and oxidative stress, whereas opaque cells exhibited greater cold tolerance. We propose that phenotypic switching in T. microellipsoides is an ecological adaptation, as has been suggested for similar morphological switching in distantly related species like Candida albicans, and we propose that this switching is a more broadly utilized biological strategy among yeasts than previously thought.
Subject terms: Fungi, Fungal biology, Microbiology, Fungal genes, Fungal genetics
Brimacombe et al. show that budding yeast Torulaspora microellipsoides undergoes a low-frequency morphological switch from small budding haploid (white) yeast to larger, higher ploidy (opaque) yeast. This study suggests that this phenotypic switching is a more broadly utilized strategy among yeasts than previously thought.
Introduction
Many microorganisms undergo phenotypic switches, wherein a single genotype can generate multiple different phenotypes, often in response to environmental changes. This phenomenon can enable rapid adaptation of these organisms to fluctuating environments and, ultimately, can provide competitive advantages in specific ecological niches. An example of this includes conformational changes of various prion proteins in the yeast Saccharomyces cerevisiae that result in changes to both individual and population-level behaviours, such as carbon metabolism and flocculation, respectively1–3. Additionally, different transcriptional programs are associated with morphology changes in many unicellular fungi. A species of particular interest is Candida albicans, which undergoes several phenotypic switches including the yeast to hyphal and white-to-opaque4,5 switches. These phenotypic switches are stabilized transcriptionally6, are stable for many generations, and have been extensively studied with regard to mechanisms of switching and regulation of the lifestyle of C. albicans5,7.
The white-to-opaque switch in C. albicans is one of the most studied epigenetic switches in fungi, with the transition between these two distinct budding yeast phenotypes thought to be exclusive to C. albicans and the related CTG clade species Candida dubliniensis and Candida tropicalis. C. albicans exists primarily as a budding yeast that forms shiny white colonies on agar plates; however, it can spontaneously and reversibly switch to the opaque colony morphology, wherein colonies are flatter, have a darker, dull colour, and individual cells are larger and elongated5. This switch is thought to have evolved as an adaptation to life in mammalian hosts and, accordingly, white and opaque cells differ dramatically in their gene expression profiles, mating competency, virulence, and metabolic properties, with each morphology thought to have specific advantages in different host niches due to the differing properties of each cell type6,8.
In ascomycetes, phenotypic switching has historically been studied in only a handful of species and isolates, most of which are domesticated lab strains of human pathogens. A number of these yeasts undergo a yeast-hyphae transition; however, white-to-opaque-like switching has not been observed outside of Candida species and has primarily been studied in relation to commensalism and pathogenesis of humans9. To our knowledge, little if any, research has been reported on the characterization of phenotypic switching in non-canonical, non-pathogenic yeast species, including the Zygosaccharomyces/Torulaspora (ZT) clade of Saccharomyceteae. Yeasts in this clade are primarily environmental organisms isolated from niches overlapping those of S. cerevisiae. Some of these species are known for contaminating industrial fermentations, such as the acid-tolerant species Zygosaccharomyces bailii; however others are used for industrial purposes, such as Zygosaccharomyces rouxii in the production of soy-sauce10. This clade has recently garnered attention because of the observation of horizontal gene transfer of large fragments of DNA from Z. bailii and T. microellipsoides to the genome of commercial wine strains11, which endows these strains with superior nitrogen utilization properties during fermentations12.
In studying T. microellipsoides for un-related reasons, we serendipitously discovered that this species undergoes a phenotypic switch reminiscent of the white-to-opaque switch documented exclusively in C. albicans, C. tropicalis, and C. dubliniensis5,13,14. This was surprising given that T. microellipsoides and these species are hundreds of millions of years divergent. Here, we present a characterization of this phenotypic switch in T. microellipsoides, wherein typical small white colonies switch to larger, darker and flatter colonies with an opaque texture and enlarged cells. We found that the switching phenotype was unique compared to the C. albicans white-to-opaque transition in terms of transcriptome profiles and cellular DNA content. We further characterized each cell type and found that the two different morphologies of T. microellipsoides have different properties in terms of growth rate, stress tolerance, and genetic stability. The most important aspect of our observations is that phenotypic switching between highly divergent yeast-cell types exists in at least one species in the ZT clade, suggesting that more yeasts than previously thought may undergo dramatic morphological transitions resembling the white-to-opaque switch.
Results
T. microellipsoides undergoes a white-to-opaque-like morphological switch
In working with the yeast T. microellipsoides, we serendipitously discovered that the species undergoes a morphology switch on agar plates that is reminiscent of the white-to-opaque switch observed in C. albicans. T. microellipsoides (NCYC 2568) typically exists as small ellipsoid budding yeast that forms shiny white colonies on agar plates, with a colony texture similar to that of S. cerevisiae or white C. albicans (Fig. 1a, b). After 12 days on YEG agar plates at room temperature, we observed that this yeast undergoes a morphological switch, wherein a white yeast colony spontaneously gives rise to a darker dull-textured ‘opaque’ sector that can be stably propagated (Fig. 1a). Because of the similarity in appearance to C. albicans white-to-opaque switching, we denote the cells from the white colony as ‘white’ cells and from the sector as ‘opaque’ cells. Microscopically, T. microellipsoides opaque cells appear as larger, slightly ellipsoid budding yeast (Fig. 1b), which is distinct from C. albicans opaque cells, which are very elongated compared to white cells. As increased cell size is often associated with increased ploidy, we measured the DNA content of white and opaque cells by flow cytometry, and observed a two- to fourfold increase in the DNA content of opaque cells, as compared to white cells (Fig. 1d, Supplementary Figs. 1 and 2). This increase in DNA content distinguishes the T. microellipsoides morphology switch from that of C. albicans white-to-opaque switching, which does not alter ploidy.
Measurements of white-to-opaque and opaque-to-white switching rates
We measured the frequency of white-to-opaque switching in T. microellipsoides by plating white cells for single colonies on YEG, growing for 14 days, and counting the rate of colony sectoring to opaque. We found that the white-to-opaque switch frequency was approximately 0.13% under these conditions (Fig. 1c). White-to-opaque switching in C. albicans is increased in several different conditions, including growth on N-acetylglucosamine (GlNAc), 5% CO2, and by UV irradiation5,15,16. To determine if the switching frequency of T. microellipsoides could be increased, we analysed the switching frequency on GlcNAc and after UV exposure. While GlcNAc containing media had no effect (Supplementary Fig. 3), we observed an approximately 300-fold induction of white-to-opaque switching after UV irradiation (Fig. 1c).
To test for opaque-to-white switching, we plated opaque cells for single colonies, and observed that switching in this direction occurs very differently than white-to-opaque switching. After 14 days on plates, T. microellipsoides opaque colonies formed lighter-coloured protrusions, which were similar in texture to white cell colonies, on the surface of 100% of colonies (Fig. 1e). In C. albicans and other related Candida species that switch, opaque-to-white switching occurs similarly to white-to-opaque, wherein a colony will form a sector back to the other morphotype, or less commonly a full colony will switch back17. We therefore evaluated whether these protrusions represented a genuine reverse switch by re-streaking them onto fresh YEG plates, and then evaluating their phenotype and DNA content. We found that approximately 10% of individual colonies isolated from these structures were genuine white cells, both phenotypically (based on cell size and colony texture) and by DNA content (Fig. 1d). This indicates that a genuine reversal of the opaque-to-white phenotype does occur, although it is difficult to assign a number to reverse switching of this nature. We also observed a large degree of phenotypic heterogeneity in the colony appearance and growth rate of re-streaks from protrusions that did not appear to be white cells (i.e. the other 90%). A number of these isolates had DNA content profiles intermediate between white and opaque cells, and several had either associated growth defects, or heterogeneous colony morphologies with multiple sectoring regions (Fig. 1e, Supplementary Fig. 2). Several of these features are indicative of aneuploidy (i.e. growth defects, DNA content, and sectoring18,21,22), and because these colony isolates arose from higher ploidy opaque colonies, we hypothesized that this phenotype might be symptomatic of chromosome loss, similar to what occurs in mated C. albicans tetraploid cells19. We attempted to observe possible chromosomal loss and/or rearrangements via CHEF gel analysis (karyotyping) of white, opaque, and 10 diverse opaque-derived isolates, including a genuine white cell revertant. Consistent with previous studies, our data show that T. microellipsoides contains eight chromosomes, all between the sizes of 0.94 and 2.2 Mb (Fig. 1f). Importantly, however, across all samples there were no conspicuous differences in chromosomal banding patterns or brightness (Fig. 1f). Thus, at the karyotype level, we did not observe any evidence of gross chromosomal loss or rearrangements during opaque-to-white switching.
Genome sequencing of white and opaque cells
Having established that T. microellipsoides undergoes a phenotypic switch from white-to-opaque, that this switch involves a ploidy increase, and that the switch appears to be reversible, but is also accompanied by a burst in genotypic and phenotypic heterogeneity in the population, we next wanted to better characterize genotypic changes in switching yeast.
We performed whole-genome sequencing of white and opaque cells to determine if a genetic change could provide an explanatory mechanism for white-to-opaque switching. The results of this sequencing are depicted in a Circos plot20 (Fig. 2), which shows an alignment of white and opaque genome scaffolds; this is a graphical representation of the mapping of scaffolds/contigs larger than 1 kb for both assemblies to one another. We show the best match for sequences longer than 1 kb with an identity of at least 70%, which is stringent enough to look at major rearrangements only. Scaffolds generally mapped to their corresponding counterparts; however, possible translocation events were identified between scaffold 2 white and scaffold 6 opaque (length = 19.2 kb, id = 100%), scaffold 3 white and scaffold 5 opaque (length = 1.3 kb, id = 93%), and scaffold 3 white and scaffold 5 opaque (length = 2.7 kb, id = 77%). Importantly, our analysis of the annotated genes within identified translocated regions did not indicate the presence of any gene(s) that were obviously explanatory of the phenotypic switch between white and opaque cells (Supplementary Table 1, Supplementary Fig. 4). Taken together, our analyses suggest that the mechanism of forward switching is either not a genetic change or, alternatively, one that is not like any that have been previously observed.
mRNA-sequencing analysis of white and opaque cells
In the absence of obvious explanatory genetic changes between white and opaque cells, we opted to characterize the transcriptome of both cell types to gain a deeper understanding of what functional differences may exist, and to attempt to explain the mechanism(s) of morphology switching. To this end, we compared the transcriptome of matched log-phase cultures of white and opaque cells grown in YEG media. Overall, we identified 4465 transcripts in both white and opaque cells, representing coverage of approximately 85% of the open-reading frames predicted by a reference genome of CLIB830T21. Between white and opaque cells, 511 transcripts (11.4% of total transcript number) were differentially regulated at least fourfold, with 249 transcripts more highly expressed in opaque cells and 262 transcripts more highly expressed in white cells (Supplementary Data 1). Gene ontology (GO)-term analysis indicates that transcripts enriched in opaque cells were strongly associated with terms such as ‘ribosome biogenesis’ (p value 2.54e-47), ribonucleoprotein complex biogenesis (p value 8.48e-42), and many other rRNA associated processes, whereas white-enriched transcripts were associated with the term ‘carbohydrate metabolic process’ (p value 0.00145). When grouped by general gene function, such as metabolic function or transcription, we observed that white cells have a relatively diverse pattern of enriched gene transcripts (Fig. 3a), whereas the majority of opaque-enriched transcripts were associated with ribosome biogenesis (Fig. 3b). STRING analysis22, which creates groupings based on connections between known and predicted protein–protein interactions, showed a single hub of putative interacting genes in opaque-enriched transcripts, again strongly associated with ribosome biogenesis (Supplementary Fig. 5). Analysis of white-enriched transcripts revealed two related clusters, primarily involved in non-fermentable carbohydrate source utilization/post-diauxic shift growth and general stress response (Supplementary Fig. 6).
The white-to-opaque switch in C. albicans is governed by a well-characterized transcription factor (TF) network, including WOR1, EFG1, and others23. Thus, we endeavoured to search for differentially regulated TFs in white and opaque cells of T. microellipsoides that could help explain the mechanism of switching. In opaque cells, we found that three TFs were more highly expressed, two of which are homologous to BAS1, which is involved in regulating expression of genes involved in purine and histidine biosynthesis24, and one of which is homologous to Mnn4, a regulator of cell-wall biogenesis25. In white cells, homologues of 14 TFs were more highly expressed compared to opaque cells, including ASG1, XBP1, ACE2, CAT8, ADR1, PDR1, RDR1, YRM1, IME1, RPI1, and several others of unknown function (Supplementary Data 1). Notably, many of these are directly involved in regulation of stress resistance or are induced during the diauxic shift in S. cerevisiae26,27; however, none stand out as obvious putative TFs responsible for morphological switching.
Overall, while there were changes in the levels of global transcription regulators (TR), neither the WOR1 or EFG1 homologue (the central regulators of switching in C. albicans)5 nor homologues of any other C. albicans white-to-opaque regulators were differentially regulated between the two cell types, suggesting these proteins are not involved in this phenotypic switch in T. microellipsoides. For additional confirmation, we created a deletion of the EFG1 homologue in T. microellipsoides and evaluated white-to-opaque switching. In C. albicans, EFG1 deletion results in a high rate of switching to the opaque phase17,28, however we did not observe any effect on T. microellipsoides white-to-opaque switching (Supplementary Fig. 7).
While we observed relatively little similarity between the transcriptional profile of T. microellipsoides and C. albicans white and opaque cells, we did make several general observations about these two cell types in T. microellipsoides, which allowed us to hypothesize about possible specialized functions of each cell morphology. Firstly, compared to white cells, opaque cells seem to be primed for proliferation based on the whole-scale increase in expression of genes involved in ribosome biogenesis and tRNA synthesis29, as well as increased expression of the nitrogen uptake genes GAP1 and MEP2 (verified by RT-qPCR), which are under nitrogen catabolite repression in other species (Supplementary Data 1, Supplementary Fig. 8)30. Secondly, higher expression levels of enzymes involved in glycogen and trehalose synthesis, metabolism of complex carbon sources, and catalases27 suggest that, compared to opaque cells, white cells may be primed to handle stress conditions, such as nutrient starvation in stationary phase, growth on alternate carbon sources, and conditions of oxidative stress and/or heat shock. Thus, we posited that white cells would tolerate exposure to these stressors more effectively than opaque cells, whereas opaque cells would be more sensitive to these stressors, but would proliferate at a higher rate under optimal, non-stressful conditions.
Sensitivity of white and opaque cells to nutrient, oxidative, stationary phase, and other cellular stressors
We endeavoured to characterize the two cell types by comparing the growth of white and opaque cells on YEG or YEG containing 3 mM H2O2, YNB containing various complex carbon or nitrogen sources, and exposure of both cell types of additional commonly encountered environmental stressors. In doing so, we first observed that there were no obvious differences in growth for white cells compared to opaque on any carbon or nitrogen sources tested, indicating that neither cell type had an observable growth advantage in these conditions (Supplementary Fig. 9). Additionally, we observed that opaque cells form notably larger colonies than white cells on YEG agar plates, consistent with an increase in cell size and cell-mass proliferation. To quantify this, we measured the wet mass of white and opaque colonies, and found that the mass of opaque colonies was approximately 2.5-fold greater than white colonies (Supplementary Fig. 10A), consistent with our gross observations; we also measured the number of cells per colony and observed that white colonies have approximately threefold more cells per colony than opaque colonies, reflecting the large difference in cell size (Supplementary Fig. 10B).
Next, we tested the sensitivity of white and opaque cells to oxidative stress by exposure to H2O2. Consistent with our prediction based on the mRNA-seq analyses, we found that opaque cell survival was greatly reduced compared to white cells when grown in the presence of 3 mM H2O2 (Fig. 4a), indicating that they are indeed more sensitive to oxidative stress.
We also tested tolerance of the two cell types to starvation conditions encountered in stationary-phase cultures. This experiment was performed by inoculating white and opaque cells in liquid YEG medium and monitoring their growth over time by OD measurements and viability by methylene blue-staining and flow cytometry. We observed that white cells grow to a much higher density in the stationary phase; however, the wet weight per ml of white and opaque cells in the stationary-phase cultures were similar. Thus, these differences in growth may reflect the difference in cell size between white and opaque cells, as noted in the previous section (Fig. 4b–d). Viability measurements, however, showed a striking difference between white and opaque cells. Even during early growth timepoints (i.e. log phase), the viability of opaque cells was never greater than 95%, and over time, viability decreased dramatically such that after 5 days in culture opaque cells were only 30% viable and continued to slowly decrease, whereas white cells remained at least 91% viable for the entire time course (Fig. 4e). Additionally, we tested the viability of white and opaque cells on agar plates after 14 days of growth and observed a similar viability reduction in opaque cells compared to white cells, both on YEG and more nutrient-rich YEPD medium (Fig. 4f).
To further expand on differences between the two cell morphologies, we explored growth of white and opaque cells under a number of different stressful conditions that this species may encounter, including exposure to desiccation, cell-wall degradation (with the enzyme zymolyase), heat shock, the cell-wall stressors calcofluor white and Congo red, and growth at different temperatures.
We found that after desiccation for 24 h, approximately 5% of white cells survive, whereas there was no detectable survival of opaque cells (Fig. 4g). In testing additional cell-wall stressors, we found that opaque and white cells have similar growth rates on plates containing calcofluor white and Congo red (Supplementary Fig. 11). In testing for sensitivity of both cell types to zymolyase, we found that 100% of white cells survived treatment with this enzyme, whereas surviving opaque cells were not detected (Fig. 4h). After heat-shock treatment for 2 min at 50 °C, the survival rate of white cells was approximately 70% compared to <1% for opaque cells (Fig. 4i).
Lastly, we tested growth of white and opaque cells at different temperatures, and observed that at 23 °C (room temperature) and 26 °C, white and opaque cells grew similarly, however at lower temperatures, such at 14 °C and, more strikingly, at 10 °C, opaque cells continued to grow well, whereas white cells grew at a highly reduced rate (Fig. 4j). To assess if the superior low-temperature growth rate of opaque cells translated into a competitive advantage, we performed direct competition assays between white and opaque cells in three different conditions: (1) growth on a plate at a room temperature (2) growth on a plate at 10 °C, and (3) growth in liquid culture at room temperature. We observed that after 48 and 96 h, opaque cells showed a modest competitive advantage compared to white cells when grown at room temperature. When grown at 10 °C, the growth advantage of opaque cells was much greater, with opaque cells representing a majority of the population after 96 h. However, in liquid culture at room temperature, white cells show a competitive advantage over opaque cells after 96 h (Supplementary Fig. 12).
Overall, our results indicate that white cells are more resistant to multiple physiological stressors (i.e. oxidative and stationary-phase stress, heat shock, etc.), as compared to opaque cells, which is consistent with several of our predictions based on the transcriptional profiles of the two cell types. Furthermore, while opaque cells generate more cell mass per colony on agar plates and grow well at colder temperatures, they quickly lose viability over time in both solid and liquid based growth conditions.
Expression of oxidative and stationary-phase stress-response genes in white and opaque cells
In the previous section, we established that there are innate differences in stress tolerance between white and opaque cells. Such differences may indicate some cellular specializations of each cell type as a result of transcriptional re-wiring of stress-response pathways. To test if this was the case in opaque cells, we examined the transcriptional induction of homologues of canonical oxidative stress and general stress-response genes in response to hydrogen peroxide. In this experiment we observed that upon exposure to 3 mM H2O2 in liquid culture, white cells grew at 75% the rate of untreated cells, whereas opaque cells grew at 14.2% the rate, reflecting the sensitivities observed by dilution series (Fig. 5a). For these experiments, we opted to study the expression of four genes: homologues of two canonical oxidative stress-response genes, Catalase T (CTT1)31 and superoxide dismutase 2 (SOD2)32, the homologue of the stress-associated transcriptional regulator XhoI site-binding protein 1 (XBP1)33, and a homologue of the ribosome biosynthesis-associated gene Ribosomal Protein of the Large subunit 30 (RPL30)34. These genes were chosen based on homology to S. cerevisiae proteins, and in the case of CTT1, RPL30, and XBP1, the differential expression profiles in our RNAseq experiment (Supplemental Data 1). Our expression analyses indicated that none of these genes are induced in response to H2O2 treatment in either white or opaque cells. Specifically, we found that both CTT1 and XRN1 are more highly expressed in white cells compared to opaque cells regardless of H2O2 treatment, SOD2 is not different between the two cell types (Fig. 5b–e), and RPL30 is more highly expressed in opaque cells; all of these results were also consistent with our mRNA-seq observations (Supplementary Data 1). Thus, we conclude that homologues of key genes involved in the oxidative stress response are not induced in T. microellipsoides in response to this stressor, and instead they appear to be differentially regulated by cell type, which is reflective of their resistance to this stressor.
To test for induction of genes specific for stationary-phase survival, we grew cultures of white and opaque cells for 3 days and harvested samples for RT-qPCR analysis; at this timepoint white cells remained between 95 and 100% viable, whereas opaque cells had dropped to ~60% viability (Fig. 5f). We examined expression of homologues of XBP1, Glucokinase 1 (GLK1)35, Stress-Seventy subfamily A 3 (SSA3)36, and RPL3034, as all of these genes are known to be differentially regulated in log versus stationary phase growth in S. cerevisiae. Furthermore, GLK1, XBP1, and SSA3 play key roles in S. cerevisiae stationary-phase survival26,33, and were differentially expressed between white and opaque cells in our mRNA-seq analyses (Supplementary Data 1). In contrast to the oxidative stress response, a moderate induction of XBP1 and GLK1 was detected in stationary-phase cells of both types, as compared to log-phase cells; SSA3 was not differentially expressed (Fig. 5g–j). The opposite trend was true with regards to RPL30 expression; levels were reduced in stationary phase compared to log phase in both white and opaque cells. In addition, there were generalized differences in expression of XBP1, GLK1, SSA3, and RPL30 between white and opaque cells (Fig. 5g–j). Although XBP1 and GLK1 exhibit a stationary-phase induction in opaque cells, and the induction is of a similar magnitude to white cells (~4-fold), their overall levels were 5 to 8-fold lower than in white cells, regardless of induction. The opposite was also true for RPL30, where there was a decrease in transcription in stationary phase compared to log phase in both white and opaque cells, however overall levels of this transcript were ~5-fold higher in opaque vs. white cells. The pattern we observed from these data is that white and opaque cells differ substantially in their innate expression of these marker genes. Within each cell type, expression can be induced by exposure to the stationary-phase stressor, however the levels of induction are of a much lower magnitude than the innate differences in expression level between the cell types. Taken together, these transcriptional and phenotypic data provide evidence that white and opaque cells may be re-wired in terms of oxidative stress-response and growth-phase related gene induction, and these differences could reflect potential specializations of each cell type.
Discussion
Here, we report the discovery of a phenotypic switch in the ZT-clade species T. microellipsoides from small white budding yeast to a larger budding yeast with an opaque colony texture. Prior to our work, this phenomenon had only been observed in C. albicans and two other related species, all members of the CTG clade of Saccharomycetacaea. As such, our findings suggest that phenotypic switching from one yeast type to another in ascomycetous fungi, specifically white-to-opaque-like switching, may be more common that previously thought, and that study of un-characterized yeasts may reveal additional species that possess this capability.
White-to-opaque switching in T. microellipsoides is morphologically reminiscent of white-to-opaque switching in the three canonical Candida species. This may suggest that morphology switching of this fashion has either independently evolved in phylogenetically distant yeast species or is an inherent ancestral trait in ascomycetous yeast in which cellular functions of the alternate (opaque) cell type diverged. The white-to-opaque switch in C. albicans is one of the most well studied epigenetic switches in nature5, and significant understanding of fundamental phenomena such as the interaction and function of complex transcription factor loops in eukaryotic cells have been gained from its study. Further characterization of the white-to-opaque switch in T. microellipsoides may provide similar insights into diverse biological processes.
Compared to our basic definitions of T. microellipsoides white and opaque cells, the two cell types in C. albicans have been defined in detail over many years of study. In C. albicans, opaque cells display multiple functions compared to white cells, including specialization for mating and colonization of different host tissues, immune evasion in certain situations, and a metabolism specific for growth in a limited number of conditions5–7,16. White cells are thought to be the generalist cell type, with growth advantages compared to opaque cells under most conditions, and they are considered the ‘basal state’ of C. albicans37. In this sense, morphology switching in T. microellipsoides and C. albicans is directly relatable, as white cells also appear to be the ‘basal’ state in T. microellipsoides and act as metabolic and stress-tolerance generalists, whereas opaque cells exist in a specialized metabolic state (i.e. higher expression of ribosome biogenesis genes) and only appear to be superior to white cells in a specific subset of conditions. A high throughput Biolog-based comparison of the two cell types, as was done in C. albicans37, would provide valuable insight into the full phenotypic profile of the two cell types in T. microellipsoides.
We also note a potential similarity of T. microellipsoides white cells and S. cerevisiae spores in addition to the fact they are both haploid. In S. cerevisiae (and most yeasts), zymolyase degrades the cell wall of vegetative cells, and the ascus surrounding spores, but not spores themselves38. This property of S. cerevisiae spores is critical for their survival passaging through Drosophila melanogaster (fruit fly) digestive tracts39. In natural environments, S. cerevisiae are often consumed by D. melanogaster; and surviving passage through the GI tract of this and related organisms allows the spread of the yeast to new niches39. Our results demonstrate that T. microellipsoides white cells are insensitive to zymolyase, which may also allow the cells to passage through insect species. These two forms may represent different evolutionary mechanisms of handing cell-wall stressors, or perhaps a similar evolutionary origin, as a Torulaspora species is thought to be one of the two yeasts which hybridized to form the whole-genome duplication clade of yeasts9.
Based on our observations herein, we propose the following model for the white-to-opaque morphology switch in T. microellipsoides: white and opaque cells represent two distinct phases of this species, which function optimally under different specialized conditions. The basal state of T. microellipsoides is likely the white phase, where cells grow slowly and conservatively, and are highly resistant to many environmental stressors; being an environmental organism, it is likely these represent the most commonly encountered conditions for this species. Switching from white-to-opaque is generally stochastic; however, certain stimuli, such as UV exposure, increase the switching rate. Once formed, opaque cells represent a specialized state of T. microellipsoides that is optimized for rapid growth and utilization of nutrients, as well as growth at low temperatures. When conditions are optimal (i.e. rich in resources), they function to rapidly expand the population to fill the available niche quickly. When resources are exhausted, the population of opaque cells collapses, undergoing a high amount of cell death, as well as generating progeny with diverse phenotypes (possibly via chromosome loss or rearrangements), which provide diverse starting material for either occupation of a new niche, or for long-term survival of stress, as a notable percentage of these progeny are genuine white cell revertants.
Overall, the most important implication of our findings is that morphology switching resembling white-to-opaque switching occurs in the ZT-clade yeast T. microellipsoides. Importantly, T. microellipsoides is hundreds of millions years diverged from C. albicans and other yeasts that undergo morphologic switching of a similar nature, thus this trait may be more common than previously thought and, therefore, is an point of interest for future study. Indeed, there are many avenues of further investigation, and our initial characterization provides several tools, such as the genomic and mRNA-seq data for white and opaque cells as well as methods of genetic manipulation in this species, that facilitate these future studies.
Methods
Strains, media, and growth conditions
Escherichia coli strain DH5α was used for cloning and plasmid propagation. T. microellipsoides strain NCYC 2568 was used in all studies. Unless otherwise indicated, yeast cells were propagated on yeast extract glucose [1% yeast extract, 2% dextrose] at 23 °C for all assays. For colony morphology assays, cells were propagated for 14 days at 23 °C on YEG agar plates. For H2O2 sensitivity assays, cells were grown on 0.3 or 3 mM H2O2 containing YEG agar plates for 5 days. In liquid culture, cells were grown in YEG medium in test tubes on a roller drum at 23 °C for the times indicated with the exception of the mRNA-seq analysis, where triplicate cultures of white and opaque cells were grown in 50 ml cultures in a 250 ml Erlenmeyer flask at 250 r.p.m. at 23 °C. For chemical transformations, cells were plated on geneticin (G418) at a concentration of 200 µg/ml. All strains are given in Supplementary Table 2.
Genome sequencing and assembly
Genomic DNA was purified using a standard phenol–chloroform-based extraction. DNA was then treated with RNaseA for 1 h at 37 °C, and re-purified with an additional phenol–chloroform extraction. Sequencing libraries were prepared using the Nextera DNA Flex library preparation kit, according to the manufacturer’s instructions (Illumina). Libraries were pooled and loaded onto a NextSeq High Output flow cell, generating paired-end 150 bp reads. Raw base call data (bcl) were converted into FastQ format using the bcl2fastq conversion software from Illumina (version 2.19). Library preparation and sequencing were performed at Sequencing and Bioinformatics Consortium at the University of British Columbia (Vancouver, Canada). Quality Control was performed using FASTQC40. Reads were aligned against the T. microellipsoides reference genome (genbank ID CLIB830T)21 with 100% of reads aligned to the reference genome for both libraries and an average sequencing depth of 123 and 91 for opaque and white samples, respectively. Reads for white and opaque samples were also assembled into scaffolds using Abyss41, with N50 of 151741 and 187462 for white and opaque samples, respectively. Pairwise comparison of the assembled scaffolds was done using LASTZ42 and represented within a Circos plot20. All sequencing data have been deposited on the Gene Expression Omnibus served (NCBI), reference number GSE136991.
mRNA-sequencing and analysis
Total RNA was purified using a standard hot acid phenol–chloroform extraction43. RNA was then treated with DNaseI for 1 h at 37 °C, and re-purified with an additional acid phenol–chloroform extraction. RNA was quantified using Qubit fluorometry and 500 ng of each sample was used to prepare sequencing libraries with the TruSeq Stranded mRNA library preparation kit, according to the manufacturer’s instructions (Illumina). Libraries were pooled and loaded onto a NextSeq High Output flow cell, generating paired-end 75 bp reads. Raw base call data (bcl) were converted into FastQ format using the bcl2fastq conversion software from Illumina (version 2.19). Library preparation and sequencing were performed at Sequencing and Bioinformatics Consortium at the University of British Columbia (Vancouver, Canada). Quality Control was performed using FASTQC40. RNAseq reads aligned to the CLIB830T reference genome using STAR44 (see Supplementary Data 1 for sequence depth and map ability). Transcriptomes for all libraries were assembled and merged using cufflinks45. Annotations for transcript sequences were derived from the Entrez [NCBI resource coordinator] protein sequence database for S. cerevisiae using BLAST46. Best matches (median length of match = 464 bp, median percent identity = 62) were retrieved, and defined as transcript annotations into an ensembl gff3 file [https://uswest.ensembl.org/info/website/upload/gff3.html]. The latter was then used to quantify transcripts levels in all analysed samples. Differential expression was assessed using DEseq 2.047. All sequencing data have been deposited on the Gene Expression Omnibus served (NCBI), accession number GSE136991.
White-to-opaque/opaque-to-white switching assays
White-to-opaque switching was quantified by plating cells for ~100 CFU per plate on YEG agar and incubating for 14 days at 23 °C. Colonies were then visually inspected for opaque sectors, which are easily identified based on the texture and colour difference of the two cell types.
Pulse-field gel electrophoresis
White, opaque, and opaque-derived cells were grown in YEG overnight at room temperature on a roller drum. Cell density for each culture was measured by hemocytometer counting, and 1 × 108 cells of each culture were harvested and washed once in 1 ml of dH2O. Cells were then washed twice in 500 μl of 0.5 M EDTA. Cells were then embedded in 0.5% Agarose plugs (made with 0.5 M EDTA). Plugs were then washed once in 500 μl of 0.5 M EDTA, and the supernatant removed. Five hundred microlitres of a solution containing 5 mg/ml Proteinase K, 1% N-lauroyl sarcosine, and 0.5 M EDTA was added to each individual plug and incubated at 50 °C for 24 h. Plugs were then washed twice with 500 µl of 0.5 M EDTA and stored at 4 °C. Plugs were then loaded into a 0.8% agarose/TBE gel, and chromosomes separated on a contour-clamped homogeneous-electric-field gel electrophoresis (CHEF) gel apparatus in 0.5× TBE [45 mM Tris-borate pH 8.0, 1 mM EDTA] at 75 V cooled to 14 °C. Pulse times were 120 s for 48 h, followed by 60 s for 24 h. Gels were then stained with ethidium bromide (0.5 μg/ml) and visualized on an ultra-violet transilluminator.
Competitive fitness assays
White and opaque cells were grown to log phase (OD600 of 0.5) in YEG media. One millilitre of each cell type was harvested by centrifugation, washed once in dH2O, and re-suspended in 500 μl of dH2O. Cells per millilitre were measured by hemocytometer counts for each suspension, and 1 × 106 cells of each cell type were mixed in a separate tube and vortexed to mix well. Serial dilutions of this mixture were plated to determine the starting relative ratio of white and opaque colonies, which was approximately 50% of each. For test conditions, 5 µl of this mixture was spotted onto agar plates and incubated at either room temperature (23 °C) or 10 °C for 48 or 96 h, after which a sample was collected, re-suspended in 500 µl of H2O, and serial dilutions were plated to determine the relative CFU of white and opaque cells. For the liquid culture experiment, 5 µl of the initial mixture was inoculated into 5 ml of fresh YEG media and incubated on a roller drum at room temperature for 96 h. To calculate the recovered/inoculum ratio, CFU of each cell type recovered in each specific experimental condition was divided by the initial inoculum CFU ratio.
Zymolase sensitivity
White and opaque cells were grown to the log phase (OD600 of 0.5) in YEG media. Two hundred microlitres of culture were harvested, and washed once in 1 ml of dH2O and pelleted. The pellet was re-suspended in 100 µl of Zymolyase 100-T (units/ml), and incubated at 30 °C for 1 h. One millilitre of water was then added, and the suspension mixed by repeated inversions. Serial dilutions of treated cells were then plated on YEG media, and colonies counted after 7 days of growth at room temperature. A negative control for both strains included re-suspending cells in 1 M sorbitol instead of the zymolyase solution and repeating the identical protocol otherwise. Percent survival was calculated by dividing the average number of CFU in the zymolyase-treated conditions by the average number of colonies in the sorbitol negative control.
Dessication sensitivity
White and opaque cells were grown to the log phase (OD600 of 0.5) in YEG media. Two hundred microlitres of culture were harvested, and washed once in 1 ml of dH2O, and pelleted. The pellet was then allowed to dry in a culture hood for 48 h by leaving the tube lids open. As a negative control, cells were re-suspended in 200 µl of dH2O (instead of drying) and left in the same tube rack with the lids closed. After 48 h, dried cells were re-suspended in 200 μl of dH2O. Serial dilutions of both the negative control and the treated cells were then plated on YEG media, and colonies counted after 7 days of growth at room temperature. Percent survival was calculated by dividing the average number of CFU in the dessication-treated tubes by the average number of colonies in the non-dried negative control.
Growth on Calcofluor white and Congo red
White and opaque cells were grown to the log phase (OD600 of 0.5) in YEG media. Cells were then plated in serial ¼ dilutions onto YEG, YEG + 60 µg/ml calcofluor white, or 0.3 mg/ml Congo red, and incubated at room temperature for 7 days prior to imaging.
Strain construction
All DNA manipulations were performed using standard techniques as previously described48. Deletion of the EFG1 homologue was accomplished using a two-step method. The EFG1 ORF and 1 kb of flanking sequence was cloned into pUC19 as a Kpn1–BamHI fragment using the primers CB299 and CB300. The entire EFG1 ORF was replaced in this plasmid by the KanMX4 cartridge by amplification of the backbone of the plasmid using the primers CB301 and CB302 and the insert KanMX4 using the primers CB303 and CB304 yielding PCR products with 25 bp overlaps. Following Dpn1 digestion, these fragments were mixed 1:1 and added to a Gibson assembly mixture (NEB), followed by incubation at 50 °C for 1 h. A sample of this mixture was transformed into E. coli DH5α, and correct assembly was verified by colony PCR using the primers CB305 and CB25, followed by sequencing. For transformation into T. microellipsoides, the result plasmid was linearized with KpnI and BamHI, and 1 µg was transformed into white cells using a standard lithium acetate transformation protocol49, with minor modifications. In place of a heat-shock step, transformation mixtures were incubated overnight at room temperature. Following this, cells were pelleted, re-suspended in YEG and incubated for 8 h at 23 °C prior to plating on selective media. Knockouts were verified by colony PCR using an internal primer set CB280 and CB281 and a primer set CB307 and CB25 confirming correct insertion of the KanMX cartridge. All primers sequences are given in Supplementary Table 2.
Heat-shock sensitivity
White and opaque cells were grown to the log phase (OD600 of 0.5) in YEG media. Two hundred microlitres of culture were harvested and washed once in 1 ml of dH2O. Cells were then re-suspended in 1 ml of dH2O and divided into two 500 μl tubes. One tube was placed in a 50 °C water bath for 2 min, whereas the other was left on the bench. Serial dilutions of both untreated and heat-treated samples were plated, and CFU/ml was then calculated. The percent survival was calculated as the ratio of CFU after heat treatment divided by the CFU in the untreated control.
RT-qPCR analyses
RNA was extracted from log or stationary-phase cultures using a hot acid phenol method as previously described43. RNA was then treated with DNaseI for 1 h at 37 °C, followed by a single phenol–chloroform extraction to remove DNase activity. One microgram of RNA was reverse transcribed into cDNA using the iScript Reverse transcription supermix kit for RT-qPCR (BioRad), which uses a mix of poly dT and random hexamers for priming. cDNA was quantified using primers to target genes and normalized to levels of histone H3. Primers targeting the following genes were: CTT1 (CB493 and CB494), GAP1 (CB495 and CB496), GLK1 (CB497 and 498), MEP2 (CB499 and CB500), SSA3 (CB501 and CB502), RPL30 (CB503 and CB504), SOD2 (CB507 and CB508), XRN1 (CB510 and CB511), and H3 (CB276 and CB277). The PowerUp SYBR Green Master Mix (Applied Biosystems) qPCR master mix was used for all runs and quantification was determined using an Applied Biosystems Step One Plus Realtime qPCR machine (Applied Biosystems). Data are displayed as delta Ct of the target gene relative to H3.
Ploidy analysis by flow cytometry
Cells were grown in 5 ml YEG cultures overnight at room temperature on a roller drum. One hundred microlitre samples of cells were taken and washed twice in 50 mM sodium citrate (pH 7.2). Cells were then fixed for 2 h in 95% ethanol, followed by two more washes in 50 mM sodium citrate. Cells were then treated with 1 mg/ml RNaseA in 50 mM sodium citrate for 2 h at 50 °C. SYTOX Green nucleic acid stain (Invitrogen) was then added at a 1/1250 dilution and incubated for 1 h. Samples were analysed using an Attune NxT Flow Cytometer on the FITC channel. Ploidy was estimated as a comparison to white input cells, which are haploid.
Statistics and reproducibility
Unpaired t-tests were used to compare the means of white and opaque samples in all experimental conditions, and in treated versus untreated samples in test conditions where stressors were added. Raw experimental measurements and p values are given in Supplementary Data 1. All experiments were reproduced at least three independent times.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We thank Prof. John Smit for his advice and support, Dr. Hao Ding, Dr. Ye Wang and Dr. Christopher Snowdon for their advice and comments on the manuscript, and Rafaela Marodin for technical support with flow cytometry analyses. We also thank Dr. Vivian Miao for assistance with and use of the CHEF gel apparatus for chromosome visualization, and useful comments on the manuscript. C.B. was supported by a Mitacs Elevate Post Doctoral Fellowship (IT09385).
Author contributions
C.B.: conceptualization, formal analysis, investigation and writing. T.S.: formal analysis, investigation and data curation. M.D. conceptualization, formal analysis, resources, supervision and writing.
Data availability
All raw values for Figs. 1–5, Supplementary Fig. 3, Supplementary Fig. 7, Supplementary Fig. 8, Supplementary Fig. 10, and Supplementary Fig. 12 are given in Supplementary Data 1. An un-cropped gel image of Fig. 1f is shown in Supplementary Fig. 13. Raw sequence data has been deposited on GEO (GSE136991). All other data (if any) are available upon request via email with the corresponding author.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information is available for this paper at 10.1038/s42003-020-0815-6.
References
- 1.Jarosz DF, Lancaster AK, Brown JCS, Lindquist S. An evolutionarily conserved prion-like element converts wild fungi from metabolic specialists to generalists. Cell. 2014;158:1072–1082. doi: 10.1016/j.cell.2014.07.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Newby GA, Lindquist S. Pioneer cells established by the [SWI+] prion can promote dispersal and out-crossing in yeast. PLoS Biol. 2017;15:e2003476. doi: 10.1371/journal.pbio.2003476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Halfmann R, et al. Prions are a common mechanism for phenotypic inheritance in wild yeasts. Nature. 2012;482:363–368. doi: 10.1038/nature10875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Slutsky B, et al. ‘White-opaque transition’: a second high-frequency switching system in Candida albicans. J. Bacteriol. 1987;169:189–197. doi: 10.1128/JB.169.1.189-197.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Noble SM, Gianetti BA, Witchley JN. Candida albicans cell-type switching and functional plasticity in the mammalian host. Nat. Rev. Microbiol. 2017;15:96–108. doi: 10.1038/nrmicro.2016.157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Tuch BB, et al. The transcriptomes of two heritable cell types illuminate the circuit governing their differentiation. PLoS Genet. 2010;6:e1001070. doi: 10.1371/journal.pgen.1001070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Miller MG, Johnson AD. White-opaque switching in Candida albicans is controlled by mating-type locus homeodomain proteins and allows efficient mating. Cell. 2002;110:293–302. doi: 10.1016/S0092-8674(02)00837-1. [DOI] [PubMed] [Google Scholar]
- 8.Lan C-Y, et al. Metabolic specialization associated with phenotypic switching in Candida albicans. Proc. Natl Acad. Sci. USA. 2002;99:14907–14912. doi: 10.1073/pnas.232566499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dujon BA, Louis EJ. Genome diversity and evolution in the budding yeasts (Saccharomycotina) Genetics. 2017;206:717–750. doi: 10.1534/genetics.116.199216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hamada T, Sugishita M, Fukushima Y, Fukase T, Motai H. Continuous production of soy sauce by a bioreactor system. Process Biochem. 1991;168:91–105. [Google Scholar]
- 11.Novo M, et al. Eukaryote-to-eukaryote gene transfer events revealed by the genome sequence of the wine yeast Saccharomyces cerevisiae EC1118. Proc. Natl. Acad. Sci. USA. 2009;106:16333–16338. doi: 10.1073/pnas.0904673106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Marsit S, et al. Evolutionary advantage conferred by an eukaryote-to-eukaryote gene transfer event in wine yeasts. Mol. Biol. Evol. 2015;32:1695–1707. doi: 10.1093/molbev/msv057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Huang G, et al. N-acetylglucosamine induces white to opaque switching, a mating prerequisite in Candida albicans. PLoS Pathog. 2010;6:e1000806. doi: 10.1371/journal.ppat.1000806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Butler G, et al. Evolution of pathogenicity and sexual reproduction in eight Candida genomes. Nature. 2009;459:657–662. doi: 10.1038/nature08064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Alby K, Bennett RJ. Stress-induced phenotypic switching in Candida albicans. Mol. Biol. Cell. 2009;20:3178–3191. doi: 10.1091/mbc.e09-01-0040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Morschhäuser J. Regulation of white-opaque switching in Candida albicans. Med. Microbiol. Immunol. 2010;199:165–172. doi: 10.1007/s00430-010-0147-0. [DOI] [PubMed] [Google Scholar]
- 17.Zordan RE, Miller MG, Galgoczy DJ, Tuch BB, Johnson AD. Interlocking transcriptional feedback loops control white-opaque switching in Candida albicans. PLoS Biol. 2007;5:e256. doi: 10.1371/journal.pbio.0050256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Brimacombe CA, et al. A natural histone H2A variant lacking the Bub1 phosphorylation site and regulated depletion of centromeric histone CENP-A foster evolvability in Candida albicans. PLoS Biol. 2019;17:e3000331. doi: 10.1371/journal.pbio.3000331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bennett RJ, Johnson AD. Completion of a parasexual cycle in Candida albicans by induced chromosome loss in tetraploid strains. EMBO J. 2003;22:2505–2515. doi: 10.1093/emboj/cdg235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Krzywinski M, et al. Circos: an information aesthetic for comparative genomics. Genome Res. 2009;19:1639–1645. doi: 10.1101/gr.092759.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Galeote V, et al. Genome sequence of Torulaspora microellipsoides CLIB 830 T. Genome Announc. 2018;28:e00515018. doi: 10.1128/genomeA.00615-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Szklarczyk D, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47:D607–D613. doi: 10.1093/nar/gky1131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lohse MB, Johnson AD. White-opaque switching in Candida albicans. Curr. Opin. Microbiol. 2009;12:650–654. doi: 10.1016/j.mib.2009.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Tice-Baldwin K, Fink GR, Arndt KT. BAS1 has a myb motif and activates HIS4 transcription only in combination with BAS2. Science. 1989;246:931–935. doi: 10.1126/science.2683089. [DOI] [PubMed] [Google Scholar]
- 25.Odani T, Shimma YI, Wang XH, Jigami Y. Mannosylphosphate transfer to cell wall mannan is regulated by the transcriptional level of the MNN4 gene in Saccharomyces cerevisiae. FEBS Lett. 1997;429:186–190. doi: 10.1016/S0014-5793(97)01513-5. [DOI] [PubMed] [Google Scholar]
- 26.DeRisi JL, Iyer VR, Brown PO. Exploring the metabolic and genetic control of gene expression on a genomic scale. Science. 1997;278:680–686. doi: 10.1126/science.278.5338.680. [DOI] [PubMed] [Google Scholar]
- 27.Estruch F. Stress-controlled transcription factors, stress-induced genes and stress tolerance in budding yeast. FEMS Microbiol. Rev. 2000;24:469–486. doi: 10.1111/j.1574-6976.2000.tb00551.x. [DOI] [PubMed] [Google Scholar]
- 28.Morrow B, Anderson J, Wilson J, Soll DR. Bidirectional stimulation of the white-opaque transition of Candida albicans by ultraviolet irradiation. Microbiology. 2009;135:1201–1208. doi: 10.1099/00221287-135-5-1201. [DOI] [PubMed] [Google Scholar]
- 29.Woolford JL, Baserga SJ. Ribosome biogenesis in the yeast Saccharomyces cerevisiae. Genetics. 2013;195:643–681. doi: 10.1534/genetics.113.153197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Magasanik B, Kaiser CA. Nitrogen regulation in Saccharomyces cerevisiae. Gene. 2002;290:1–18. doi: 10.1016/S0378-1119(02)00558-9. [DOI] [PubMed] [Google Scholar]
- 31.Wieser R, et al. Heat shock factor-independent heat control of transcription of the CTT1 gene encoding the cytosolic catalase T of Saccharomyces cerevisiae. J. Biol. Chem. 1991;266:12406–12411. [PubMed] [Google Scholar]
- 32.van Loon AP, Pesold-Hurt B, Schatz G. A yeast mutant lacking mitochondrial manganese-superoxide dismutase is hypersensitive to oxygen. Proc. Natl. Acad. Sci. USA. 1986;83:3820–3824. doi: 10.1073/pnas.83.11.3820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Mai B, Breeden L. Xbp1, a stress-induced transcriptional repressor of the Saccharomyces cerevisiae Swi4/Mbp1 family. Mol. Cell. Biol. 1997;17:6491–6501. doi: 10.1128/MCB.17.11.6491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Venema J, Tollervey D. Ribosome synthesis in Saccharomyces cerevisiae. Annu. Rev. Genet. 1999;33:261–311. doi: 10.1146/annurev.genet.33.1.261. [DOI] [PubMed] [Google Scholar]
- 35.Herrero P, Galíndez J, Ruiz N, Martínez‐Campa C, Moreno F. Transcriptional regulation of the Saccharomyces cerevisiae HXK1, HXK2 and GLK1 genes. Yeast. 1995;11:137–144. doi: 10.1002/yea.320110205. [DOI] [PubMed] [Google Scholar]
- 36.Boorstein WR, Craig EA. Transcriptional regulation of SSA3, an HSP70 gene from Saccharomyces cerevisiae. Mol. Cell. Biol. 1990;10:3262–3267. doi: 10.1128/MCB.10.6.3262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ene IV, et al. Phenotypic profiling reveals that Candida albicans opaque cells represent a metabolically specialized cell state compared to default white cells. MBio. 2016;7:e01269–16. doi: 10.1128/mBio.01269-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bahalul M, Kaneti G, Kashi Y. Ether-zymolyase ascospore isolation procedure: an efficient protocol for ascospores isolation in Saccharomyces cerevisiae yeast. Yeast. 2010;27:999–1003. doi: 10.1002/yea.1808. [DOI] [PubMed] [Google Scholar]
- 39.Coluccio AE, Rodriguez RK, Kernan MJ, Neiman AM. The yeast spore wall enables spores to survive passage through the digestive tract of Drosophila. PLoS ONE. 2008;3:e2873. doi: 10.1371/journal.pone.0002873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Andrews, S. FastQC: a quality control tool for high throughput sequence data. http://www.bioinformatics.babraham.ac.uk/projects/fastqc (2010).
- 41.Simpson JT, et al. ABySS: a parallel assembler for short read sequence data. Genome Res. 2009;19:1117–1123. doi: 10.1101/gr.089532.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Harris, R. S. Improved Pairwise Alignment of Genomic DNA. PhD thesis, Pennsylvania State University (2007).
- 43.Collart MA, Oliviero S. Preparation of yeast RNA. Curr. Protoc. Mol. Biol. 1993;23:13121–13125. doi: 10.1002/0471142727.mb1312s23. [DOI] [PubMed] [Google Scholar]
- 44.Dobin A, et al. STAR: Ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29:15–21. doi: 10.1093/bioinformatics/bts635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Trapnell C, et al. Differential analysis of gene regulation at transcript resolution with RNA-seq. Nat. Biotechnol. 2013;31:46–53. doi: 10.1038/nbt.2450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Johnson M, et al. NCBI BLAST: a better web interface. Nucleic Acids Res. 2008;36:W5–W9. doi: 10.1093/nar/gkn201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Sambrook, J. & Russell, D. W. Molecular Cloning: A Laboratory Manual, III. Red (Cold Spring Harbor Laboratory Press, New York, 2001).
- 49.Gietz RD, Schiestl RH. Quick and easy yeast transformation using the LiAc/SS carrier DNA/PEG method. Nat. Protoc. 2007;2:35–37. doi: 10.1038/nprot.2007.14. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All raw values for Figs. 1–5, Supplementary Fig. 3, Supplementary Fig. 7, Supplementary Fig. 8, Supplementary Fig. 10, and Supplementary Fig. 12 are given in Supplementary Data 1. An un-cropped gel image of Fig. 1f is shown in Supplementary Fig. 13. Raw sequence data has been deposited on GEO (GSE136991). All other data (if any) are available upon request via email with the corresponding author.