Budding yeast as a model organism for population genetics

A Droplet-Based Microfluidic Platform for High-Throughput Culturing of Yeast Cells in Various Conditions

Yeast plays a significant role in a variety of fields. In particular, it is extensively used as a model organism in genetics and cellular biology studies, and is employed in the production of vaccines, pharmaceuticals, and biofuels. Traditional "bulk"-based studies on yeast growth often overlook cellular variability, emphasizing the need for single-cell analysis. Micro-droplets, tiny liquid droplets with high surface-area-to-volume ratios, offer a promising platform for investigating single or a small number of cells, allowing precise control and monitoring of individual cell behaviors. Microfluidic devices, which facilitate the generation of micro-droplets, are advantageous due to their reduced volume requirements and ability to mimic in vivo micro-environments. This study introduces a custom-designed microfluidic device to encapsulate yeasts in micro-droplets under various conditions in a parallel manner. The results reveal that optimal glucose concentrations promoted yeast growth while cycloheximide and Cu2+ ions inhibited it. This platform enhances yeast cultivation strategies and holds potential for high-throughput single-cell investigations in more complex organisms.

Genetic variability and physiological traits of Saccharomyces cerevisiae strains isolated from "Vale dos Vinhedos" vineyards reflect agricultural practices and history of this Brazilian wet subtropical area

Vale dos Vinhedos appellation of origin has a very recent history as industrial wine making region. In this study we investigated the genetic and phenotypic variability of Saccharomyces cerevisiae strains isolated from South-Brazilian vineyards in order to evaluate strain fermentation aptitude and copper and sulphites tolerance. Merlot grape bunches were collected from three vineyards and yeast isolation was performed after single bunch fermentation. High genotypic variability was found and most of the genotypes revealed to be vine-specific. No industrial strain dissemination was present in the sampled vineyards, although it has been wildly reported in traditional winemaking countries. From the phenotypic traits analysis these Brazilian native strains showed good fermentation performances, good tolerance to sulphites and, in particular, a high copper tolerance level. Copper is the most important metal in the formulation of fungicides against downy mildew (Plasmopara viticola), one of the most harmful disease of the vines, and other fungal pests. The high tolerance to copper suggests an environmental adaptation to the strong use of copper-based fungicides, requested by the wet subtropical climate.

Surprisingly diverged populations of Saccharomyces cerevisiae in natural environments remote from human activity

The budding yeast, Saccharomyces cerevisiae, is a leading system in genetics, genomics and molecular biology and is becoming a powerful tool to illuminate ecological and evolutionary principles. However, little is known of the ecology and population structure of this species in nature. Here, we present a field survey of this yeast at an unprecedented scale and have performed population genetics analysis of Chinese wild isolates with different ecological and geographical origins. We also included a set of worldwide isolates that represent the maximum genetic variation of S. cerevisiae documented so far. We clearly show that S. cerevisiae is a ubiquitous species in nature, occurring in highly diversified substrates from human-associated environments as well as habitats remote from human activity. Chinese isolates of S. cerevisiae exhibited strong population structure with nearly double the combined genetic variation of isolates from the rest of the world. We identified eight new distinct wild lineages (CHN I-VIII) from a set of 99 characterized Chinese isolates. Isolates from primeval forests occur in ancient and significantly diverged basal lineages, while those from human-associated environments generally cluster in less differentiated domestic or mosaic groups. Basal lineages from primeval forests are usually inbred, exhibit lineage-specific karyotypes and are partially reproductively isolated. Our results suggest that greatly diverged populations of wild S. cerevisiae exist independently of and predate domesticated isolates. We find that China harbours a reservoir of natural genetic variation of S. cerevisiae and perhaps gives an indication of the origin of the species.

Mining for genotype-phenotype relations in Saccharomyces using partial least squares

Background

Multivariate approaches are important due to their versatility and applications in many fields as it provides decisive advantages over univariate analysis in many ways. Genome wide association studies are rapidly emerging, but approaches in hand pay less attention to multivariate relation between genotype and phenotype. We introduce a methodology based on a BLAST approach for extracting information from genomic sequences and Soft- Thresholding Partial Least Squares (ST-PLS) for mapping genotype-phenotype relations.

Results

Applying this methodology to an extensive data set for the model yeast Saccharomyces cerevisiae, we found that the relationship between genotype-phenotype involves surprisingly few genes in the sense that an overwhelmingly large fraction of the phenotypic variation can be explained by variation in less than 1% of the full gene reference set containing 5791 genes. These phenotype influencing genes were evolving 20% faster than non-influential genes and were unevenly distributed over cellular functions, with strong enrichments in functions such as cellular respiration and transposition. These genes were also enriched with known paralogs, stop codon variations and copy number variations, suggesting that such molecular adjustments have had a disproportionate influence on Saccharomyces yeasts recent adaptation to environmental changes in its ecological niche.

Conclusions

BLAST and PLS based multivariate approach derived results that adhere to the known yeast phylogeny and gene ontology and thus verify that the methodology extracts a set of fast evolving genes that capture the phylogeny of the yeast strains. The approach is worth pursuing, and future investigations should be made to improve the computations of genotype signals as well as variable selection procedure within the PLS framework.

How many antiviral small interfering RNAs may be encoded by the mammalian genomes?

Background

The discovery of RNA interference phenomenon (RNAi) and understanding of its mechanisms has revolutionized our views on many molecular processes in the living cell. Among the other, RNAi is involved in silencing of transposable elements and in inhibition of virus infection in various eukaryotic organisms. Recent experimental studies demonstrate few cases of viral replication suppression via complementary interactions between the mammalian small RNAs and viral transcripts.

Presentation of the hypothesis

It was found that >50% of the human genome is transcribed in different cell types and that these transcripts are mainly not associated with known protein coding genes, but represent non-coding RNAs of unknown functions. We propose a hypothesis that mammalian DNAs encode thousands RNA motifs that may serve for antiviral protection. We also presume that the evolutional success of some groups of genomic repeats and, in particular, of transposable elements (TEs) may be due to their ability to provide antiviral RNA motifs to the host organism. Intense genomic repeat propagation into the genome would inevitably cause bidirectional transcription of these sequences, and the resulting double-stranded RNAs may be recognized and processed by the RNA interference enzymatic machinery. Provided that these processed target motifs may be complementary to viral transcripts, fixation of the repeats into the host genome may be of a considerable benefit to the host. It fits with our bioinformatical data revealing thousands of 21-28 bp long motifs identical between human DNA and human-pathogenic adenoviral and herpesviral genomes. Many of these motifs are transcribed in human cells, and the transcribed part grows proportionally to their lengths. Many such motifs are included in human TEs. For example, one 23 nt-long motif that is a part of human abundant Alu retrotransposon, shares sequence identity with eight human adenoviral genomes.

Testing the hypothesis

This hypothesis could be tested on various mammalian species and viruses infecting mammalian cells.

Implications of the hypothesis

This hypothesis proposes that mammalian organisms may use their own genomes as sources of thousands of putative interfering RNA motifs that can be recruited to repress intracellular pathogens like proliferating viruses.

Reviewers

This article was reviewed by Eugene V. Koonin, Valerian V. Dolja and Yuri V. Shpakovski.

A new yeast genetic resource for analysis and breeding

We made a library of Saccharomyces cerevisiae F(1) hybrids from all possible crosses of 16 wild-type strains, including two common laboratory strains and two commercial winemaking varieties. Fourteen of the starting strains have been sequenced. Thus, the sequences of both genomes are known in 182 novel hybrids, and the sequence of one genome is known in 56. All tested strains sporulated. Fertilities were in the range 0-100%. Hybrids showed no more variation than parental strains for ethanol production, ethanol tolerance or growth at temperature extremes, but some F(1) s appeared to display hybrid vigour (heterosis). We tested four tetrads from one hybrid for their ability to grow at low temperature or in the presence of an inhibitory concentration of ethanol. Only one F(2) was as tolerant as the most tolerant F(0) parent. A few showed intermediate tolerance, but most were less tolerant than either parent or the F(1) hybrid, consistent with uncoupling of genes contributing to an optimized quantitative trait. The diversity and structure of the library should make it useful for analysis of genetic interactions among diverse strains, quantitative inheritance and heterosis, and for breeding.

Generation of a large set of genetically tractable haploid and diploid Saccharomyces strains

Saccharomyces cerevisiae has proved to be an invaluable model in classical and molecular genetics studies. Despite several hundreds of isolates already available, the scientific community relies on the use of only a handful of unrelated strains. The lack of sequence information, haploid derivatives and genetic markers has prevented novel strains from being used. Here, we release a set of 55 S. cerevisiae and Saccharomyces paradoxus genetically tractable strains, previously sequenced in the Saccharomyces Genome Resequencing Project. These strains are stable haploid derivatives and ura3 auxotrophs tagged with a 6-bp barcode, recognized by a restriction enzyme to allow easy identification. We show that the specific barcode can be used to accurately measure the prevalence of different strains during competition experiments. These strains are now amenable to a wide variety of genetic experiments and can be easily crossed with each other to create hybrids and segregants, providing a valuable resource for breeding programmes and quantitative genetic studies. Three versions of each strain (haploid Mat a and Mat alpha and diploid Mat a/alpha all as ura3::KanMX-Barcode) are available through the National Culture Yeast Collection.

Fungal viral mutualism moderated by ploidy

Endosymbionts and their hosts have inherently ambiguous relationships as symbionts typically depend upon their hosts for shelter, nutrition, and reproduction. Endosymbionts can acquire these needs by two alternative strategies: exploitation and cooperation. Parasites exploit hosts to advance their own reproduction at the cost of host fitness. In contrast, mutualists increase their reproductive output by increasing host fitness. Very often the distinction between parasites and mutualists is not discrete but rather contingent on the environment in which the interaction occurs, and can shift along a continuous scale from parasitism to mutualism. The cost benefit dynamics at any point along this continuum are of particular interest as they establish the likelihood of an interaction persisting or breaking down. Here we show how the interaction between the yeast Saccharomyces cerevisiae and an endosymbiotic killer virus is strongly dependent on both host ploidy and environmental pH. Additionally we elucidate the mechanisms underlying the ploidy-dependent interaction. Understanding these dynamics in the short-term is key to understanding how genetic and environmental factors impact community diversity.

Complex genetic changes in strains of Saccharomyces cerevisiae derived by selection in the laboratory

Selection of model organisms in the laboratory has the potential to generate useful substrates for testing evolutionary theories. These studies generally employ relatively long-term selections with weak selective pressures to allow the accumulation of multiple adaptations. In contrast to this approach, we analyzed two strains of Saccharomyces cerevisiae that were selected for resistance to multiple stress challenges by a rapid selection scheme to test whether the variation between rapidly selected strains might also be useful in evolutionary studies. We found that resistance to oxidative stress is a multigene trait in these strains. Both derived strains possess the same major-effect adaptations to oxidative stress, but have distinct modifiers of the phenotype. Similarly, both derived strains have altered their global transcriptional responses to oxidative stress in similar ways, but do have at least some distinct differences in transcriptional regulation. We conclude that short-term laboratory selections can generate complex genetic variation that may be a useful substrate for testing evolutionary theories.

Molecular-genetic biodiversity in a natural population of the yeast Saccharomyces cerevisiae from "Evolution Canyon": microsatellite polymorphism, ploidy and controversial sexual status

The yeast S. cerevisiae is a central model organism in eukaryotic cell studies and a major component in many food and biotechnological industrial processes. However, the wide knowledge regarding genetics and molecular biology of S. cerevisiae is based on an extremely narrow range of strains. Studies of natural populations of S. cerevisiae, not associated with human activities or industrial fermentation environments, are very few. We isolated a panel of S. cerevisiae strains from a natural microsite, "Evolution Canyon" at Mount Carmel, Israel, and studied their genomic biodiversity. Analysis of 19 microsatellite loci revealed high allelic diversity and variation in ploidy level across the panel, from diploids to tetraploids, confirmed by flow cytometry. No significant differences were found in the level of microsatellite variation between strains derived from the major localities or microniches, whereas strains of different ploidy showed low similarity in allele content. Maximum genetic diversity was observed among diploids and minimum among triploids. Phylogenetic analysis revealed clonal, rather than sexual, structure of the triploid and tetraploid subpopulations. Viability tests in tetrad analysis also suggest that clonal reproduction may predominate in the polyploid subpopulations.

Evolutionary genetics: choosing to evolve

The evolution of mate choice is believed to be important in speciation. A recent experiment involving mating preference evolution in laboratory yeast populations supports theoretical predictions that this can occur without complete genetic isolation between populations, strengthening the case that ecological specialization as well as physical separation can lead to speciation.

Evolution of antifungal-drug resistance: mechanisms and pathogen fitness

Like other microorganisms, fungi exist in populations that are adaptable. Under the selection imposed by antifungal drugs, drug-sensitive fungal pathogens frequently evolve resistance. Although the molecular mechanisms of resistance are well-characterized, there are few measurements of the impact of these mechanisms on pathogen fitness in different environments. To predict resistance before a new drug is prescribed in the clinic, the full spectrum of potential resistance mutations and the interactions among combinations of divergent mechanisms can be determined in evolution experiments. In the search for new strategies to manage drug resistance, measuring the limits of adaptation might reveal methods for trapping fungal pathogens in evolutionary dead ends.

Population genetics of the wild yeast Saccharomyces paradoxus

Saccharomyces paradoxus is the closest known relative of the well-known S. cerevisiae and an attractive model organism for population genetic and genomic studies. Here we characterize a set of 28 wild isolates from a 10-km(2) sampling area in southern England. All 28 isolates are homothallic (capable of mating-type switching) and wild type with respect to nutrient requirements. Nine wild isolates and two lab strains of S. paradoxus were surveyed for sequence variation at six loci totaling 7 kb, and all 28 wild isolates were then genotyped at seven polymorphic loci. These data were used to calculate nucleotide diversity and number of segregating sites in S. paradoxus and to investigate geographic differentiation, population structure, and linkage disequilibrium. Synonymous site diversity is approximately 0.3%. Extensive incompatibilities between gene genealogies indicate frequent recombination between unlinked loci, but there is no evidence of recombination within genes. Some localized clonal growth is apparent. The frequency of outcrossing relative to inbreeding is estimated at 1.1% on the basis of heterozygosity. Thus, all three modes of reproduction known in the lab (clonal replication, inbreeding, and outcrossing) have been important in molding genetic variation in this species.

Experimental studies of deleterious mutation in Saccharomyces cerevisiae

Yeast has proven to be a very useful model organism for studying eukaryotic cell functions. Its applicability for population and quantitative genetics is less well known. Among its advantages is the ease of screening for mutants. The present paper reviews experiments aimed at estimating the parameters of spontaneous mutations deleterious to fitness. The rate of deleterious mutation was found to be moderately high. A large fraction of detectable mutants were lethal; among the non-lethal mutants, the least harmful ones dominated. Deleterious mutations, and especially the lethal ones, were generally very well masked by wild-type alleles when in heterozygous loci. The negative effects of mutations were much stronger under stressful than under benign conditions. Interactions between loci with deleterious mutations did alter their fitness, but no strong overall effect of synergism or antagonisms was observed.

Systematic quantification of gene interactions by phenotypic array analysis

A phenotypic array method, developed for quantifying cell growth, was applied to the haploid and homozygous diploid yeast deletion strain sets. A growth index was developed to screen for non-additive interacting effects between gene deletion and induced perturbations.

A phenotypic array method, developed for quantifying cell growth, was applied to the haploid and homozygous diploid yeast deletion strain sets. A growth index was developed to screen for non-additive interacting effects between gene deletion and induced perturbations. From a genome screen for hydroxyurea (HU) chemical-genetic interactions, 298 haploid deletion strains were selected for further analysis. The strength of interactions was quantified using a wide range of HU concentrations affecting reference strain growth. The selectivity of interaction was determined by comparison with drugs targeting other cellular processes. Bio-modules were defined as gene clusters with shared strength and selectivity of interaction profiles. The functions and connectivity of modules involved in processes such as DNA repair, protein secretion and metabolic control were inferred from their respective gene composition. The work provides an example of, and a general experimental framework for, quantitative analysis of gene interaction networks that buffer cell growth.

Haploid all the way: a new style of asexuality revealed in animals

Weeks et al(1) recently reported that they had found a species of mites where the parthenogenetic females are haploid. They show that this is caused by intracellular bacteria that turn genetic haploid males into haploid females. I discuss these findings and attempt to place these observations in evolutionary context.

Predicting the emergence of resistance to antifungal drugs

The emergence of antifungal drug resistance is inevitable. Here I discuss antibiotic resistance in the context of the adaptive potential of fungi and I propose an approach to predicting the evolution of antifungal resistance using experimental evolution of DNA sequences and microbial populations. Prediction is based on determination of evolutionary potential at two levels, the gene and the genome. At the level of the gene, evolutionary potential depends on the sequence space of candidate resistance genes defined by the fitness effects of all possible mutations in all possible combinations. At the level of the genome, evolutionary potential depends on the adaptive landscape defined by the fitness effects of all possible interactions among alleles constituting the genotype.

Estimates of the rate and distribution of fitness effects of spontaneous mutation in Saccharomyces cerevisiae

The per-genome, per-generation rate of spontaneous mutation affecting fitness (U) and the mean fitness cost per mutation (s) are important parameters in evolutionary genetics, but have been estimated for few species. We estimated U and sh (the heterozygous effect of mutations) for two diploid yeast strains differing only in the DNA mismatch-repair deficiency used to elevate the mutation rate in one (mutator) strain. Mutations were allowed to accumulate in 50 replicate lines of each strain, during 36 transfers of randomly chosen single colonies (approximately 600 generations). Among wild-type lines, fitnesses were bimodal, with one mode showing no change in mean fitness. The other mode showed a mean 29.6% fitness decline and the petite phenotype, usually caused by partial deletion of the mitochondrial genome. Excluding petites, maximum-likelihood estimates adjusted for the effect of selection were U = 9.5 x 10(-5) and sh = 0.217 for the wild type. Among the mutator lines, the best fit was obtained with 0.005 < or = U < or = 0.94 and 0.049 > or = sh > or = 0.0003. Like other recently tested model organisms, wild-type yeast have low mutation rates, with high mean fitness costs per mutation. Inactivation of mismatch repair increases the frequency of slightly deleterious mutations by approximately two orders of magnitude.