Genomic structural variation contributes to phenotypic change of industrial bioethanol yeast Saccharomyces cerevisiae

Novel insights into the effects of 5-hydroxymethfurural on genomic instability and phenotypic evolution using a yeast model

5-Hydroxymethfurural (5-HMF) is naturally found in a variety of foods and beverages and represents a main inhibitor in the lignocellulosic hydrolysates used for fermentation. This study investigated the impact of 5-HMF on the genomic stability and phenotypic plasticity of the yeast Saccharomyces cerevisiae. Using next-generation sequencing technology, we examined the genomic alterations of diploid S. cerevisiae isolates that were subcultured on a medium containing 1.2 g/L 5-HMF. We found that in 5-HMF-treated cells, the rates of chromosome aneuploidy, large deletions/duplications, and loss of heterozygosity were elevated compared with that in untreated cells. 5-HMF exposure had a mild impact on the rate of point mutations but altered the mutation spectrum. Contrary to what was observed in untreated cells, more monosomy than trisomy occurred in 5-HMF-treated cells. The aneuploidy mutant with monosomic chromosome IX was more resistant to 5-HMF than the diploid parent strain because of the enhanced activity of alcohol dehydrogenase. Finally, we found that overexpression of ADH6 and ZWF1 effectively stabilized the yeast genome under 5-HMF stress. Our findings not only elucidated the global effect of 5-HMF on the genomic integrity of yeast but also provided novel insights into how chromosomal instability drives the environmental adaptability of eukaryotic cells.IMPORTANCESingle-cell microorganisms are exposed to a range of stressors in both natural and industrial settings. This study investigated the effects of 5-hydroxymethfurural (5-HMF), a major inhibitor found in baked foods and lignocellulosic hydrolysates, on the chromosomal instability of yeast. We examined the mechanisms leading to the distinct patterns of 5-HMF-induced genomic alterations and discovered that chromosomal loss, typically viewed as detrimental to cell growth under most conditions, can contribute to yeast tolerance to 5-HMF. Our results increased the understanding of how specific stressors stimulate genomic plasticity and environmental adaptation in yeast.

Multi-omics network model reveals key genes associated with p-coumaric acid stress response in an industrial yeast strain

The production of ethanol from lignocellulosic sources presents increasingly difficult issues for the global biofuel scenario, leading to increased production costs of current second-generation (2G) ethanol when compared to first-generation (1G) plants. Among the setbacks encountered in industrial processes, the presence of chemical inhibitors from pre-treatment processes severely hinders the potential of yeasts in producing ethanol at peak efficiency. However, some industrial yeast strains have, either naturally or artificially, higher tolerance levels to these compounds. Such is the case of S. cerevisiae SA-1, a Brazilian fuel ethanol industrial strain that has shown high resistance to inhibitors produced by the pre-treatment of cellulosic complexes. Our study focuses on the characterization of the transcriptomic and physiological impact of an inhibitor of this type, p-coumaric acid (pCA), on this strain under chemostat cultivation via RNAseq and quantitative physiological data. It was found that strain SA-1 tend to increase ethanol yield and production rate while decreasing biomass yield when exposed to pCA, in contrast to pCA-susceptible strains, which tend to decrease their ethanol yield and fermentation efficiency when exposed to this substance. This suggests increased metabolic activity linked to mitochondrial and peroxisomal processes. The transcriptomic analysis also revealed a plethora of differentially expressed genes located in co-expressed clusters that are associated with changes in biological pathways linked to biosynthetic and energetical processes. Furthermore, it was also identified 20 genes that act as interaction hubs for these clusters, while also having association with altered pathways and changes in metabolic outputs, potentially leading to the discovery of novel targets for metabolic engineering toward a more robust industrial yeast strain.

Copy number variants impact phenotype-genotype relationships for adaptation of industrial yeast Saccharomyces cerevisiae

The industrial yeast Saccharomyces cerevisiae possesses a plastic genome enabling its adaptation to varied environment conditions. A more robust ethanologenic industrial yeast strain NRRL Y-50049 was obtained through laboratory adaptation that is resistant to 2-furaldehyde (furfural) and 5-hydroxymethyl-2-furaldehyde (HMF), a major class of toxic chemicals associated with lignocellulose-to-biofuel conversion. A significant amount of knowledge has been achieved in characterizing its tolerant phenotypes and molecular mechanisms of the resistance. Recent findings on a limited number of nonsynonymous SNP (single nucleotide polymorphism) detected in NRRL Y-50049 compared with its progenitor NRRL Y-12632 raised doubt of SNP roles in the tolerance adaptation. The genotype-phenotype relationship for yeast adaptation to the toxic chemicals is yet unclear. Here, we examine copy number variant (CNV) of the adapted strain NRRL Y-50049 to address phenotype-genotype relationships. As a background information, CNV of model strain S288C of the reference genome was also examined versus the industrial-type strain NRRL Y-12632. More than 200 CNVs, mostly duplication events, were detected in NRRL Y-12632 compared with the laboratory model strain S288C. Such enriched genetic background supports its more diversified phenotype response for the industrial yeast than the laboratory strain S288C. Comparing the two industrial strains, we found extra nine CNVs in the mitochondrial genome and 28 CNVs in the nuclear genome of NRRL Y-50049 versus its progenitor NRRL Y-12632. Continued DNA recombination event and high rate of CNV observed in NRRL Y-50049 versus its progenitor suggests that CNV is more impactful than SNP in association with phenotype-genotype relationships of yeast adaptation to the toxic chemical stress. COX1 and COB loci were defined as DNA recombination hotspots in the mitochondrial genome for the industrial yeast based on the high frequency of CNVs observed in these loci. KEY POINTS: • COX1 and COB loci are identified as DNA recombination hotspots for the industrial yeast. • The industrial yeast type strain NRRL Y-12632 possesses more CNVs vs the reference genome S288C. • CNV is more important than SNP on phenotype-genotype relationships for yeast adaptation.

Tunicamycin Potentiates Antifungal Drug Tolerance via Aneuploidy in Candida albicans

How cells exposed to one stress are later able to better survive other types of stress is not well understood. In eukaryotic organisms, physiological and pathological stresses can disturb endoplasmic reticulum (ER) function, resulting in “ER stress.” Here, we found that exposure to tunicamycin, an inducer of ER stress, resulted in the acquisition of a specific aneuploidy, chromosome 2 trisomy (Chr2x3), in Candida albicans. Importantly, the resulting aneuploidy also conferred cross-tolerance to caspofungin, a first-line echinocandin antifungal, as well as to hydroxyurea, a common chemotherapeutic agent. Exposure to a range of tunicamycin concentrations induced similar ER stress responses. Extra copies of one Chr2 gene, MKK2, affected both tunicamycin and caspofungin tolerance, while at least 3 genes on chromosome 2 (ALG7, RTA2, and RTA3) affected only tunicamycin and not caspofungin responses. Other Chr2 genes (RNR1 and RNR21) affected hydroxyurea tolerance but neither tunicamycin nor caspofungin tolerance. Deletion of components of the protein kinase C (PKC) or calcineurin pathways affected tolerance to both tunicamycin and caspofungin, supporting the idea that the ER stress response and echinocandin tolerance are regulated by overlapping stress response pathways. Thus, antifungal drug tolerance can arise rapidly via ER stress-induced aneuploidy.

Genome and Evolutionary Analysis of Nosema ceranae: A Microsporidian Parasite of Honey Bees

Microsporidia comprise a phylum of single cell, intracellular parasites and represent the earliest diverging branch in the fungal kingdom. The microsporidian parasite Nosema ceranae primarily infects honey bee gut epithelial cells, leading to impaired memory, suppressed host immune responses and colony collapse under certain circumstances. As the genome of N. ceranae is challenging to assembly due to very high genetic diversity and repetitive region, the genome was re-sequenced using long reads. We present a robust 8.8 Mbp genome assembly of 2,280 protein coding genes, including a high number of genes involved in transporting nutrients and energy, as well as drug resistance when compared with sister species Nosema apis. We also describe the loss of the critical protein Dicer in approximately half of the microsporidian species, giving new insights into the availability of RNA interference pathway in this group. Our results provided new insights into the pathogenesis of N. ceranae and a blueprint for treatment strategies that target this parasite without harming honey bees. The unique infectious apparatus polar filament and transportation pathway members can help to identify treatments to control this parasite.

The Role of Structural Variation in Adaptation and Evolution of Yeast and Other Fungi

Mutations in DNA can be limited to one or a few nucleotides, or encompass larger deletions, insertions, duplications, inversions and translocations that span long stretches of DNA or even full chromosomes. These so-called structural variations (SVs) can alter the gene copy number, modify open reading frames, change regulatory sequences or chromatin structure and thus result in major phenotypic changes. As some of the best-known examples of SV are linked to severe genetic disorders, this type of mutation has traditionally been regarded as negative and of little importance for adaptive evolution. However, the advent of genomic technologies uncovered the ubiquity of SVs even in healthy organisms. Moreover, experimental evolution studies suggest that SV is an important driver of evolution and adaptation to new environments. Here, we provide an overview of the causes and consequences of SV and their role in adaptation, with specific emphasis on fungi since these have proven to be excellent models to study SV.

How to characterize a strain? Clonal heterogeneity in industrial Saccharomyces influences both phenotypes and heterogeneity in phenotypes

Populations of microbes are constantly evolving heterogeneity that selection acts upon, yet heterogeneity is nontrivial to assess methodologically. The necessary practice of isolating single-cell colonies and thus subclone lineages for establishing, transferring, and using a strain results in single-cell bottlenecks with a generally neglected effect on the characteristics of the strain itself. Here, we present evidence that various subclone lineages for industrial yeasts sequenced for recent genomic studies show considerable differences, ranging from loss of heterozygosity to aneuploidies. Subsequently, we assessed whether phenotypic heterogeneity is also observable in industrial yeast, by individually testing subclone lineages obtained from products. Phenotyping of industrial yeast samples and their newly isolated subclones showed that single-cell bottlenecks during isolation can indeed considerably influence the observable phenotype. Next, we decoupled fitness distributions on the level of individual cells from clonal interference by plating single-cell colonies and quantifying colony area distributions. We describe and apply an approach using statistical modeling to compare the heterogeneity in phenotypes across samples and subclone lineages. One strain was further used to show how individual subclonal lineages are remarkably different not just in phenotype but also in the level of heterogeneity in phenotype. With these observations, we call attention to the fact that choosing an initial clonal lineage from an industrial yeast strain may vastly influence downstream performances and observations on karyotype, on phenotype, and also on heterogeneity.

Origin, Regulation, and Fitness Effect of Chromosomal Rearrangements in the Yeast Saccharomyces cerevisiae

Chromosomal rearrangements comprise unbalanced structural variations resulting in gain or loss of DNA copy numbers, as well as balanced events including translocation and inversion that are copy number neutral, both of which contribute to phenotypic evolution in organisms. The exquisite genetic assay and gene editing tools available for the model organism Saccharomyces cerevisiae facilitate deep exploration of the mechanisms underlying chromosomal rearrangements. We discuss here the pathways and influential factors of chromosomal rearrangements in S. cerevisiae. Several methods have been developed to generate on-demand chromosomal rearrangements and map the breakpoints of rearrangement events. Finally, we highlight the contributions of chromosomal rearrangements to drive phenotypic evolution in various S. cerevisiae strains. Given the evolutionary conservation of DNA replication and recombination in organisms, the knowledge gathered in the small genome of yeast can be extended to the genomes of higher eukaryotes.

Exploiting strain diversity and rational engineering strategies to enhance recombinant cellulase secretion by Saccharomyces cerevisiae

Consolidated bioprocessing (CBP) of lignocellulosic material into bioethanol has progressed in the past decades; however, several challenges still exist which impede the industrial application of this technology. Identifying the challenges that exist in all unit operations is crucial and needs to be optimised, but only the barriers related to the secretion of recombinant cellulolytic enzymes in Saccharomyces cerevisiae will be addressed in this review. Fundamental principles surrounding CBP as a biomass conversion platform have been established through the successful expression of core cellulolytic enzymes, namely β-glucosidases, endoglucanases, and exoglucanases (cellobiohydrolases) in S. cerevisiae. This review will briefly address the challenges involved in the construction of an efficient cellulolytic yeast, with particular focus on the secretion efficiency of cellulases from this host. Additionally, strategies for studying enhanced cellulolytic enzyme secretion, which include both rational and reverse engineering approaches, will be discussed. One such technique includes bio-engineering within genetically diverse strains, combining the strengths of both natural strain diversity and rational strain development. Furthermore, with the advancement in next-generation sequencing, studies that utilise this method of exploiting intra-strain diversity for industrially relevant traits will be reviewed. Finally, future prospects are discussed for the creation of ideal CBP strains with high enzyme production levels.Key Points• Several challenges are involved in the construction of efficient cellulolytic yeast, in particular, the secretion efficiency of cellulases from the hosts.• Strategies for enhancing cellulolytic enzyme secretion, a core requirement for CBP host microorganism development, include both rational and reverse engineering approaches.• One such technique includes bio-engineering within genetically diverse strains, combining the strengths of both natural strain diversity and rational strain development.

A Double-Edged Sword: Aneuploidy is a Prevalent Strategy in Fungal Adaptation

Aneuploidy, a deviation from a balanced genome by either gain or loss of chromosomes, is generally associated with impaired fitness and developmental defects in eukaryotic organisms. While the general physiological impact of aneuploidy remains largely elusive, many phenotypes associated with aneuploidy link to a common theme of stress adaptation. Here, we review previously identified mechanisms and observations related to aneuploidy, focusing on the highly diverse eukaryotes, fungi. Fungi, which have conquered virtually all environments, including several hostile ecological niches, exhibit widespread aneuploidy and employ it as an adaptive strategy under severe stress. Gambling with the balance between genome plasticity and stability has its cost and in fact, most aneuploidies have fitness defects. How can this fitness defect be reconciled with the prevalence of aneuploidy in fungi? It is likely that the fitness cost of the extra chromosomes is outweighed by the advantage they confer under life-threatening stresses. In fact, once the selective pressures are withdrawn, aneuploidy is often lost and replaced by less drastic mutations that possibly incur a lower fitness cost. We discuss representative examples across hostile environments, including medically and industrially relevant cases, to highlight potential adaptive mechanisms in aneuploid yeast.

Global Analysis of Furfural-Induced Genomic Instability Using a Yeast Model

Furfural is an important renewable precursor for multiple commercial chemicals and fuels; a main inhibitor existing in cellulosic hydrolysate, which is used for bioethanol fermentation; and a potential carcinogen, as well. Using a genetic system in Saccharomyces cerevisiae that allows detection of crossover events, we observed that the frequency of mitotic recombination was elevated by 1.5- to 40-fold when cells were treated with 0.1 g/liter to 20 g/liter furfural. Analysis of the gene conversion tracts associated with crossover events suggested that most furfural-induced recombination resulted from repair of DNA double-strand breaks (DSBs) that occurred in the G₁ phase. Furfural was incapable of breaking DNA directly in vitro but could trigger DSBs in vivo related to reactive oxygen species accumulation. By whole-genome single nucleotide polymorphism (SNP) microarray and sequencing, furfural-induced genomic alterations that range from single base substitutions, loss of heterozygosity, and chromosomal rearrangements to aneuploidy were explored. At the whole-genome level, furfural-induced events were evenly distributed across 16 chromosomes but were enriched in high-GC-content regions. Point mutations, particularly the C-to-T/G-to-A transitions, were significantly elevated in furfural-treated cells compared to wild-type cells. This study provided multiple novel insights into the global effects of furfural on genomic stability.IMPORTANCE Whether and how furfural affects genome integrity have not been clarified. Using a Saccharomyces cerevisiae model, we found that furfural exposure leads to in vivo DSBs and elevation in mitotic recombination by orders of magnitude. Gross chromosomal rearrangements and aneuploidy events also occurred at a higher frequency in furfural-treated cells. In a genome-wide analysis, we show that the patterns of mitotic recombination and point mutations differed dramatically in furfural-treated cells and wild-type cells.

Hydrogen peroxide, a potent inducer of global genomic instability

Oxidative stress has been implicated in a variety of human diseases. One plausible mechanism is that reactive active species can induce DNA damages and jeopardize genome integrity. To explore how oxidative stress results in global genomic instability in cells, our current study examined the genomic alterations caused by H₂O₂ exposure at the whole genome level in yeast. Using SNP microarrays and genome sequencing, we mapped H₂O₂-induced genomic alterations in the yeast genome ranging from point mutations and mitotic recombination to chromosomal aneuploidy. Our results suggested most H₂O₂-induced mitotic recombination events were the result of DNA double-stand breaks generated by hydroxyl radicals. Moreover, the mutagenic effect of H₂O₂ was shown to be largely dependent on DNA polymerase ζ. Lastly, we showed that H₂O₂ exposure allows rapid phenotypic evolution in yeast strains. Our findings indicate DNA lesions resulting from H₂O₂ may be general factors that drive genome instability and phenotypic evolution in organisms.

Genetic characterization and modification of a bioethanol-producing yeast strain

Yeast Saccharomyces cerevisiae strains isolated from different sources generally show extensive genetic and phenotypic diversity. Understanding how genomic variations influence phenotypes is important for developing strategies with improved economic traits. The diploid S. cerevisiae strain NY1308 is used for cellulosic bioethanol production. Whole genome sequencing identified an extensive amount of single nucleotide variations and small insertions/deletions in the genome of NY1308 compared with the S288c genome. Gene annotation of the assembled NY1308 genome showed that 43 unique genes are absent in the S288c genome. Phylogenetic analysis suggested most of the unique genes were obtained through horizontal gene transfer from other species. RNA-Seq revealed that some unique genes were not functional in NY1308 due to unidentified intron sequences. During bioethanol fermentation, NY1308 tends to flocculate when certain inhibitors (derived from the pretreatment of cellulosic feedstock) are present in the fermentation medium. qRT-PCR and genetic manipulation confirmed that the novel gene, NYn43, contributed to the flocculation ability of NY1308. Deletion of NYn43 resulted in a faster fermentation rate for NY1308. This work disclosed the genetic characterization of a bioethanol-producing S. cerevisiae strain and provided a useful paradigm showing how the genetic diversity of the yeast population would facilitate the personalized development of desirable traits.

Saccharomyces cerevisiae strains for second-generation ethanol production: from academic exploration to industrial implementation

The recent start-up of several full-scale 'second generation' ethanol plants marks a major milestone in the development of Saccharomyces cerevisiae strains for fermentation of lignocellulosic hydrolysates of agricultural residues and energy crops. After a discussion of the challenges that these novel industrial contexts impose on yeast strains, this minireview describes key metabolic engineering strategies that have been developed to address these challenges. Additionally, it outlines how proof-of-concept studies, often developed in academic settings, can be used for the development of robust strain platforms that meet the requirements for industrial application. Fermentation performance of current engineered industrial S. cerevisiae strains is no longer a bottleneck in efforts to achieve the projected outputs of the first large-scale second-generation ethanol plants. Academic and industrial yeast research will continue to strengthen the economic value position of second-generation ethanol production by further improving fermentation kinetics, product yield and cellular robustness under process conditions.

Industrial Relevance of Chromosomal Copy Number Variation in Saccharomyces Yeasts

Chromosomal copy number variation (CCNV) plays a key role in evolution and health of eukaryotes. The unicellular yeast Saccharomyces cerevisiae is an important model for studying the generation, physiological impact, and evolutionary significance of CCNV. Fundamental studies of this yeast have contributed to an extensive set of methods for analyzing and introducing CCNV. Moreover, these studies provided insight into the balance between negative and positive impacts of CCNV in evolutionary contexts. A growing body of evidence indicates that CCNV not only frequently occurs in industrial strains of Saccharomyces yeasts but also is a key contributor to the diversity of industrially relevant traits. This notion is further supported by the frequent involvement of CCNV in industrially relevant traits acquired during evolutionary engineering. This review describes recent developments in genome sequencing and genome editing techniques and discusses how these offer opportunities to unravel contributions of CCNV in industrial Saccharomyces strains as well as to rationally engineer yeast chromosomal copy numbers and karyotypes.

Novel strategy to improve vanillin tolerance and ethanol fermentation performances of Saccharomycere cerevisiae strains

The aim of this work was to develop a novel strategy for improving the vanillin tolerance and ethanol fermentation performances of Saccharomyces cerevisiae strains. Isogeneic diploid, triploid, and tetraploid S. cerevisiae strains were generated by genome duplication of haploid strain CEN.PK2-1C. Ploidy increments improved vanillin tolerance and diminished proliferation capability. Antimitotic drug methyl benzimidazol-2-ylcarbamate (MBC) was used to introduce chromosomal aberrations into the tetraploid S. cerevisiae strain. Interestingly, aneuploid mutants with DNA contents between triploid and tetraploid were more resistant to vanillin and showed faster ethanol fermentation rates than all euploid strains. The physiological characteristics of these mutants suggest that higher bioconversion capacities of vanillin and ergosterol contents might contribute to improved vanillin tolerance. This study demonstrates that genome duplication and MBC treatment is a powerful strategy to improve the vanillin tolerance of yeast strains.

Effects of genome duplication on phenotypes and industrial applications of Saccharomyces cerevisiae strains

Polyploidy is common in Saccharomyces cerevisiae strains, but the physiological and phenotypic effects of ploidy changes have not been fully clarified. Here, isogenic diploid, triploid, and tetraploid S. cerevisiae strains were constructed from a haploid strain, CEN.PK2-1C. Stress tolerance and ethanol fermentation performance of the four euploid strains were compared. Each euploid strain had strengths and weaknesses in tolerance to certain stressors, and no single strain was tolerant of all stressors. The diploid had higher ethanol production than the other strains in normal fermentation medium, while the triploid strain showed the fastest fermentation rate in the presence of inhibitors found in lignocellulosic hydrolysate. Physiological determination revealed diverse physiological attributes, such as trehalose, ergosterol, glutathione, and anti-oxidative enzymes among the strains. Our analyses suggest that both ploidy parity and number of chromosome sets contribute to changes in physiological status. Using qRT-PCR, different expression patterns of genes involved in the regulation of cell morphology and the biosynthesis of key physiological attributes among strains were determined. Our data provide novel insights into the multiple effects of genome duplication on yeast cells and are a useful reference for breeding excellent strains used in specific industrial applications.