Biology subjects

Friedrich, A.

Publications and source records attributed to Friedrich, A..

At least 19 recordsLinked to original sources

bioRxiv2025

Population-scale chemical response revealed by a barcoded yeast collection

Natural genetic variation shapes how microbial populations adapt to environmental and chemical challenges, but scalable approaches to map genotype-phenotype relationships across diverse genetic backgrounds remain limited. Here, we developed a systematically barcoded collection of 520 Saccharomyces cerevisiae natural isolates that captures the ecological, geographical and genetic diversity of the species. Using pooled barcode sequencing, we profiled fitness responses to over 600 bioactive and natural compounds, revealing broader and more polarized bioactivity than the standard yeast gene-deletion collection. Fitness-based clustering defined six major compound groups with reproducible, population-structured sensitivity patterns. Genome-wide association analysis identified significant genetic variants across 107 compounds, linking natural polymorphisms to chemical responses and involving genes in genome maintenance, ribosome biogenesis, vesicular trafficking and stress tolerance. Together, our barcoded natural population provides a scalable framework for chemical-genetic screening, enabling systematic dissection of how genetic diversity shapes microbial fitness and adaptation.

evolutionary biology↗

bioRxiv2025

Graph-based pangenome analysis uncovers structural and functional impacts of allopolyploidization events

The emergence of graph pangenomes has significantly advanced the study of structural variants (SVs) across diverse species. However, the impact of complex polyploidization events, particularly allopolyploidy, on SV landscapes remains poorly explored. Brettanomyces bruxellensis, a yeast species shaped by multiple allopolyploidization events, offers a compelling model due to its well-characterized genomic and phenotypic diversity. Here, we integrated subgenome-resolved assemblies with population-scale genomic and transcriptomic datasets to characterize SVs distribution and their functional impact at the species level. Leveraging a constructed reference graph pangenome, we identified sequences that are unique to each subgenome, and detected 212,177 SVs across 1,060 sequenced isolates. Allopolyploid genomes harbored significantly more SVs (320 on average) than diploid genomes (116 on average), reflecting the extensive impact of hybridization on the genome architecture. A subset of SVs originating from ancestral divergence between subgenomes (hybridization-associated SVs) formed distinct hotspots of structural diversity. Furthermore, functional association analysis revealed that 27.5% of SVs exert local regulatory effects on gene expression. Interestingly, hybridization-associated structural variants disproportionately affect gene expression, with a greater proportion of associated variants and a significantly larger effect size compared to other SVs. Overall, these findings underscore the role of allopolyploidization in driving both structural and functional genomic diversification. Our study also highlights the value of graph-based approaches in dissecting complex genome evolution.

genomics↗

bioRxiv2025

A genetic screen reveals a key role for Reg1 in 2-deoxyglucose sensing and yeast AMPK inhibition

The yeast Saccharomyces cerevisiae thrives in sugar-rich environments by rapidly consuming glucose and favoring alcoholic fermentation. This metabolic strategy is tightly regulated by glucose signaling pathways, particularly the glucose repression pathway, which prevents the expression of genes required for the utilization of alternative carbon source. Central to this regulatory network is the yeast ortholog of the heterotrimeric 5'AMP-activated protein kinase (AMPK), which adjusts gene expression in response to glucose availability. The activity of the yeast AMPK complex is primarily regulated by the phosphorylation state of its catalytic subunit Snf1, a process orchestrated by a balance between upstream kinases and phosphatases. Among the latter, the Protein Phosphatase 1 (PP1) complex Reg1/Glc7 plays a critical role in repressing Snf1 activity under glucose-rich conditions. Despite its importance, the precise mechanism by which glucose availability leads to Snf1 inhibition remains incompletely understood. Evidence suggests that hexokinase 2 (Hxk2) participates in this pathway, potentially coupling the early steps of glucose metabolism to Snf1 signaling. Notably, the toxic glucose analog 2-deoxyglucose (2DG)- which is phosphorylated by Hxk2 but not further metabolized-mimics glucose in its ability to repress Snf1, implicating glucose or 2DG phosphorylation as a key regulatory signal. In this study, we explore the molecular basis of 2DG resistance in yeast through a large-scale genetic screen. The identified mutations confer resistance either by reducing 2DG phosphorylation (e.g., mutations in HXK2) or by enhancing constitutive Snf1 activity, via gain-of-function alleles in AMPK subunits or loss-of-function mutations in REG1 and GLC7. We describe a novel class of REG1 missense mutations, including reg1-W165G, that maintain normal basal Snf1 activity but fail to mediate 2DG-induced Snf1 inhibition, rendering cells effectively immune to 2DG toxicity. These findings position Reg1 as a central mediator in glucose sensing and further suggest that 2DG toxicity primarily results from aberrant Snf1 inactivation rather than a direct metabolic disturbance.

cell biology↗

bioRxiv2024

Small-molecule inhibitor of C-terminal HSP90 dimerization modulates autophagy and functions synergistically with mTOR inhibition to kill cisplatin-resistant cancer cells

BackgroundA major obstacle for the successful treatment of cancer is the primary presence or development of resistance mechanisms toward therapeutic intervention. In urothelial cancer, cisplatin-based regimens are still routinely employed, and multiple cellular pathways contribute to chemoresistance. Since the identification of heat shock protein 90 (HSP90) as potential cancer target, various HSP90 inhibitors (HSP90i) have been developed and evaluated in clinical trials. However, limited efficacy has been observed, mainly caused by dose-limiting toxicity and the concomitant induction of a cytoprotective heat shock response (HSR). To avoid this effect, inhibitors targeting the C-terminal domain (CTD) of HSP90 that do not elicit an HSR have been put forward. Additionally, the crosstalk between autophagy and HSP90 is currently being explored, since both processes work together in proteostasis, and the modulation of autophagic responses might be helpful in order to improve the efficacy of HSP90 inhibitors. MethodsThe second-generation small-molecule inhibitor VWK147 targeting HSP90 CTD dimerization was synthesized and characterized in detail by biochemical cell-free and cellular assays and molecular modeling. Specifically, HSP90 inhibition, cell viability, and autophagy were monitored in mono- and combined treatments. ResultsWe demonstrate that VWK147 induces cell death in both cisplatin-sensitive and cisplatin-resistant urothelial carcinoma cells. The treatment with VWK147 in these cells led to the destabilization of classical HSP90 client proteins without triggering an HSR. Additionally, we observe that VWK147 re-sensitizes resistant urothelial carcinoma cells to cisplatin and--in combination with mTOR inhibition--synergistically kills cisplatin-sensitive and -resistant cells, in contrast to what is observed upon treatment with the N-terminal domain-targeting HSP90 inhibitor 17-AAG. This synergy may be explained by VWK147-mediated inhibition of late autophagy events, and thus a blockade of autophagic flux. Finally, we also observed that VWK147 induces non-canonical LC3 lipidation, indicating that this compound possibly exerts a broader effect on ion balance or pH of the endolysosomal system. ConclusionVWK147 is a promising inhibitor that targets the C-terminal dimerization of HSP90 and simultaneously exhibits autophagy-modulating effects. This compound could potentially be an effective option for improving anti-cancer therapies and/or overcoming treatment resistance.

cell biology↗

bioRxiv2024

Overview of the Saccharomyces cerevisiae population structure through the lens of 3,034 genomes

With the rise of high-throughput sequencing technologies, a holistic view of genetic variation within populations - through population genomics studies - appears feasible, although it remains an ongoing effort. Genetic variation arises from a diverse range of evolutionary forces, with mutation and recombination being key drivers in shaping genomes. Studying genetic variation within a population represents a crucial first step in understanding the relationship between genotype and phenotype and the evolutionary history of species. In this context, the budding yeast Saccharomyces cerevisiae has been at the forefront of population genomic studies. In addition, it has a complex history that involves adaptation to a wide range of wild and human-related ecological niches. Although to date more than three thousand diverse isolates have been sequenced, there is currently a lack of a resource bringing together sequencing data and associated metadata for all sequenced isolates. To perform a comprehensive analysis of the population structure of S. cerevisiae, we collected genome sequencing data from 3,034 natural isolates and processed the data uniformly. We determined ploidy levels, identified single nucleotide polymorphisms (SNPs), small insertion-deletions (InDels), copy number variations (CNVs), and aneuploidies across the population, creating a publicly accessible resource for the yeast research community. Interestingly, we showed that this population captures [~]93% of the species diversity. Using neighbor-joining and Bayesian methods, we redefined the populations, revealing clustering patterns primarily based on ecological origin. This work represents a valuable resource for the community and efforts have been made to make it evolvable and integrable to future yeast population studies.

genomics↗

bioRxiv2024

Whole-genome sequencing and phenotyping reveal specific adaptations of Lachancea thermotolerans to the winemaking environment

Adaptation to the environment plays an essential role in yeast evolution as a consequence of selective pressures. Lachancea thermotolerans, a yeast related to the fermentative process and one of the current trends in wine technology research, has undergone an anthropization process that has led to a strong differentiation both from a genomic and phenomic perspective. Using whole-genome sequencing, we have investigated the genomic diversity of 145 L. thermotolerans strains, identifying six well-defined groups primarily delineated by their ecological origin and exhibiting high levels of genetic diversity. Anthropized strains showed lower genetic diversity due to the purifying selection imposed by the winemaking environment. Strong evidence of anthropization and adaptation to the wine environment through modification of gene content was also found. Differences in genes involved in the assimilation of alternative carbon and nitrogen sources, such as the MAL1 and DAL5 genes, which confer greater fitness in the winemaking environment, were observed. Additionally, we found that phenotypic traits considered domestication hallmarks are present in anthropized strains. Among these, increased fitness in the presence of ethanol and sulphites, assimilation of non-fermentable carbon sources such as glycerol, and lower levels of residual fructose under fermentative conditions highlight. We hypothesize that lactic acid production by wine-related strains is an anthropization signature consequence of the adaption of early Crabtree-positive yeasts to the fermentative environment. Overall, the results of this work provide valuable insight into the anthropization process in L. thermotolerans and demonstrate how fermentation environments give rise to similar adaptations in different yeast species.

microbiology↗

bioRxiv2024

Recurrent loss of crossover interference punctuates the recombination landscape across yeast species

Meiotic recombination is essential for the accurate chromosome segregation and the generation of genetic diversity through crossover and gene conversion events. Although this process has been studied extensively in a few selected model species, understanding how its properties vary across species remains limited. In this context, we first characterized the meiotic recombination landscape and properties of the Kluyveromyces lactis budding yeast. We then conducted a comprehensive analysis of 28,897 recombination events spanning 567 meioses in five budding yeast species including Saccharomyces cerevisiae, Saccharomyces paradoxus, Lachancea kluyveri, Lachancea waltii and K. lactis. We observed variations in the recombination landscapes and properties across these species. The Saccharomyces yeasts displayed higher recombination rates compared to the non-Saccharomyces yeasts. In addition, bona fide crossover interference and associated crossover homeostasis were found in the Saccharomyces species only. The evolutionarily conserved ZMM pathway, essential for generating interference-dependent crossovers, has undergone multiple losses throughout evolution, suggesting variations in the regulation of crossover formation. Finally, recombination hotspots, although highly conserved within the Saccharomyces yeasts are not conserved beyond the Saccharomyces genus. Overall, these results highlight great variability and evolution in the recombination landscape between species.

genomics↗

bioRxiv2023

Translation variation across genetic backgrounds reveals a post-transcriptional buffering signature in yeast

Gene expression is known to vary among individuals, and this variability can impact the phenotypic diversity observed in natural populations. While the transcriptome and proteome have been extensively studied, little is known about the translation process itself. Here, we therefore performed ribosome and transcriptomic profiling on a genetically and ecologically diverse set of natural isolates of the Saccharomyces cerevisiae yeast. Interestingly, we found that the Euclidean distances between each profile and the expression fold changes in each pairwise isolate comparison were higher at the transcriptomic level. This observation clearly indicates that the transcriptional variation observed in the different isolates is buffered through a phenomenon known as post-transcriptional buffering at the translation level. Furthermore, this phenomenon seemed to have a specific signature by preferentially affecting essential genes as well as genes involved in complex-forming proteins, and low transcribed genes. We also explored the translation of the S. cerevisiae pangenome and found that the accessory genes related to introgression events displayed similar transcription and translation levels as the core genome. By contrast, genes acquired through horizontal gene transfer events tended to be less efficiently translated. Together, our results highlight both the extent and signature of the post-transcriptional buffering.

systems biology↗

bioRxiv2023

Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast

Gene expression varies between individuals and corresponds to a key step linking genotypes to phenotypes. However, our knowledge regarding the species-wide genetic control of protein abundance, including its dependency on transcript levels, is very limited. Here, we have determined quantitative proteomes of a large population of 942 diverse natural Saccharomyces cerevisiae yeast isolates. We found that mRNA and protein abundances are weakly correlated at the population gene level. While the protein co-expression network recapitulates major biological functions, differential expression patterns reveal proteomic signatures related to specific populations. Comprehensive genetic association analyses highlight that genetic variants associated with variation in protein (pQTL) and transcript (eQTL) levels poorly overlap (3.6%). Our results demonstrate that transcriptome and proteome are governed by distinct genetic bases, likely explained by protein turnover. It also highlights the importance of integrating these different levels of gene expression to better understand the genotype-phenotype relationship. HighlightsO_LIAt the level of individual genes, the abundance of transcripts and proteins is weakly correlated within a species ({rho} = 0.165). C_LIO_LIWhile the proteome is not imprinted by population structure, co-expression patterns recapitulate the cellular functional landscape C_LIO_LIWild populations exhibit a higher abundance of respiration-related proteins compared to domesticated populations C_LIO_LILoci that influence protein abundance differ from those that impact transcript levels, likely because of protein turnover C_LI

systems biology↗

bioRxiv2023

Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast

Unraveling the genetic sources of gene expression variation is essential to better understand the origins of phenotypic diversity in natural populations. Genome-wide association studies identified thousands of variants involved in gene expression variation, however, variants detected only explain part of the heritability. In fact, variants such as low-frequency and structural variants (SVs) are poorly captured in association studies. To assess the impact of these variants on gene expression variation, we explored a half-diallel panel composed of 323 hybrids originated from pairwise crosses of 26 natural Saccharomyces cerevisiae isolates. Using short- and long-read sequencing strategies, we established an exhaustive catalog of single nucleotide polymorphisms (SNPs) and SVs for this panel. Combining this dataset with the transcriptomes of all hybrids, we comprehensively mapped SNPs and SVs associated with gene expression variation. While SVs impact gene expression variation, SNPs exhibit a higher effect size with an overrepresentation of low-frequency variants compared to common ones. These results reinforce the importance of dissecting the heritability of complex traits with a comprehensive catalog of genetic variants at the population level.

genomics↗

bioRxiv2023

Pan-transcriptome reveals a large accessory genome contribution to gene expression variation in yeast

Gene expression is an essential step in the translation of genotypes into phenotypes. However, little is known about the transcriptome architecture and the underlying genetic effects at a species-level. Here, we generated and analyzed the pan-transcriptome of [~]1,000 yeast natural isolates across 4,977 core and 1,468 accessory genes. We found that the accessory genome is an underappreciated driver of the transcriptome divergence. Global gene expression patterns combined with population structure show that the heritable expression variation mainly lies within subpopulation-specific signatures, for which the accessory genes are overrepresented. Genome-wide association analyses consistently highlight that the accessory genes are associated with proportionally more variants with larger effect sizes, illustrating the critical role of the accessory genome on the transcriptional landscape within and between populations.

genomics↗

bioRxiv2022

142 telomere-to-telomere assemblies reveal the genome structural landscape in Saccharomyces cerevisiae

As population genomics is transitioning from single reference genomes to pangenomes, major improvements in terms of genome contiguity, phylogenetic sampling, haplotype phasing and structural variant (SV) calling are required. Here, we generated the Saccharomyces cerevisiae Reference Assembly Panel (ScRAP) comprising 142 reference-quality genomes from strains of various geographic and ecological origins that faithfully represent the genomic diversity and complexity of the species. The ca. 4,800 non-redundant SVs we identified impact the expression of genes near the breakpoints and contribute to gene repertoire evolution through disruptions, duplications, fusions and horizontal transfers. We discovered frequent cases of complex aneuploidies, preferentially involving large chromosomes that underwent large SVs. We also characterized the evolutionary dynamics of complex genomic regions that classically remain unassembled in short read-based projects, including the 5 Ty families and the 32 individual telomeres. Overall, the ScRAP represents a crucial step towards establishing a high-quality, unified and complete S. cerevisiae pangenome.

genomics↗

bioRxiv2022

Metamorphic proteins at the basis of human autophagy initiation and lipid transfer

Autophagy is a conserved intracellular degradation pathway that uses de novo doublemembrane vesicle (autophagosome) formation to target a wide range of cytoplasmic material for lysosomal degradation. In multicellular organisms, autophagy initiation requires the timely assembly of a contact site between the ER and the nascent autophagosome. Here, we report the in vitro reconstitution of a full-length sevensubunit human autophagy initiation supercomplex and found at its core ATG13-101 and transmembrane protein ATG9. Assembly of this core complex requires the rare ability of ATG13 and ATG101 to adopt topologically distinct folds. The slow spontaneous conversion between folds creates a rate-limiting step to regulate selfassembly of the super-complex. The interaction of the core complex with ATG2-WIPI4 enhances tethering of membrane vesicles and accelerates lipid transfer of ATG2 by both ATG9 and ATG13-101. Our work uncovers the molecular basis of the contact site and its assembly mechanisms imposed by the metamorphosis of ATG13-101 to regulate autophagosome biogenesis in space and time.

biochemistry↗

bioRxiv2022

Contrasting genomic evolution between domesticated and wild Kluyveromyces lactis yeast populations

The process of domestication has variable consequences on genome evolution leading to different phenotypic signatures. Access to the complete genome sequences of a large number of individuals makes it possible to explore the different facets of this domestication process. Here, we sought to explore the genome evolution of the Kluyveromyces lactis yeast species, a well-known species for its involvement in dairy processes but also present in natural environments. Using a combination of short and long-read sequencing strategies, we investigated the genomic variability of 41 Kluyveromyces lactis isolates and found that the overall genetic diversity of this species is very high ({pi} = 2.9 x 10-2) compared to other species such as Saccharomyces cerevisiae ({pi} = 3 x 10-3). However, the domesticated dairy population shows a reduced level of diversity ({pi} = 7 x 10-4), probably due to a domestication bottleneck. In addition, this entire population is characterized by the introgression of the LAC4 and LAC12 genes, responsible for lactose fermentation and coming from the closely related species, Kluyveromyces marxianus, as previously described. Our results also highlighted that the LAC4/LAC12 gene cluster was acquired through multiple and independent introgression events. Finally, we also identified several genes that could play a role in adaptation to dairy environments through copy number variation. These genes are involved in sugar consumption, flocculation and drug resistance, and may play a role in dairy processes. Overall, our study illustrates contrasting genomic evolution and sheds new light on the impact of domestication processes on it.

genomics↗

bioRxiv2021

Lessons from the meiotic recombination landscape of the ZMM deficient budding yeast Lachancea waltii

Meiotic recombination has been deeply characterized in a few model species only, notably in the budding yeast Saccharomyces cerevisiae. Interestingly, most members of the ZMM pathway that implements meiotic crossover interference in S. cerevisiae have been lost in Lachancea yeast species after the divergence of Lachancea kluyveri from the rest of the clade. This suggests major differences in the control of crossover distribution. After investigating meiosis in L. kluyveri, we determined the meiotic recombination landscape of Lachancea waltii and identified several characteristics that should help understand better the underlying mechanisms. Such characteristics include systematic regions of loss of heterozygosity (LOH) in L. waltii hybrids, compatible with dysregulated Spo11-mediated DNA double strand breaks (DSB) independently of meiosis. They include a higher recombination rate in L. waltii than in L. kluyveri despite the lack of multiple ZMM pro-crossover factors. L. waltii exhibits an elevated frequency of zero-crossover bivalents as L. kluyveri but opposite to S. cerevisiae. L. waltii gene conversion tracts lengths are comparable to those observed in S. cerevisiae and shorter than in L. kluyveri despite the lack of Mlh2, a factor limiting conversion tracts size in S. cerevisiae. L. waltii recombination hotspots are not shared with either S. cerevisiae or L. kluyveri, showing that meiotic recombination hotspots can evolve at a rather limited evolutionary scale within budding yeasts. Finally, in line with the loss of several ZMM genes, we found only residual crossover interference in L. waltii likely coming from the modest interference existing between recombination precursors. Significance statementStudying non-model species is relevant to understand better biological processes by shedding light on their evolutionary variations. Here we chose the non-model budding yeast Lachancea waltii to study meiotic recombination. In sexually reproducing organisms, meiotic recombination shuffles parental genetic combinations notably by crossovers that cluster in hotspots at the population level. We found remarkable variations compared to both the canonical Saccharomyces cerevisiae model and another close relative Lachancea kluyveri. Such variations notably include the loss in L. waltii of a layer of regulation of crossover distribution that is otherwise conserved in budding yeasts and mammals. They also include the lack of conservation of crossover hotspots across the Lachancea species while crossover hotspots are remarkably stable across the Saccharomyces species. Highlights- Extensive LOH events in L. waltii intraspecific hybrids - No conservation of the recombination hotspots across the Lachancea genus - Reduced but not suppressed crossover interference in the absence of the ZMM pathway - Similar gene conversion tract lengths in L. waltii, S. cerevisiae, and L. kluyveri despite the lack of MLH2 in L. waltii

genetics↗

bioRxiv2021

Population-level survey of loss-of-function mutations revealed that background dependent fitness genes are rare and functionally related in yeast

In natural populations, the same mutation can lead to different phenotypic outcomes due to the genetic variation that exists among individuals. Such genetic background effects are commonly observed, including in the context of many human diseases. However, systematic characterization of these effects at the species level is still lacking to date. Here, we sought to comprehensively survey background-dependent traits associated with gene loss-of-function (LoF) mutations in 39 natural isolates of Saccharomyces cerevisiae using a transposon saturation strategy. By analyzing the modeled fitness variability of a total of 4,469 genes, we found that 15% of them, when impacted by a LoF mutation, exhibited a significant gain- or loss-of-fitness phenotype in certain natural isolates compared to the reference strain S288C. Out of these 632 genetic background-dependent fitness genes identified, a total of 2/3 show a continuous variation across the population while 1/3 are specific to a single genetic background. Genes related to mitochondrial function are significantly overrepresented in the set of genes showing a continuous variation and display a potential functional rewiring with other genes involved in transcription and chromatin remodeling as well as in nuclear-cytoplasmic transport. Such rewiring effects are likely modulated by both the genetic background and the environment. While background-specific cases are rare and span diverse cellular processes, they can be functionally related at the individual level. All background-dependent fitness genes tend to have an intermediate connectivity in the global genetic interaction network and have shown relaxed selection pressure at the population level, highlighting their potential evolutionary characteristics.

genetics↗

bioRxiv2021

Sex without crossing over in the yeast Saccharomycodes ludwigii

Meiotic recombination is a ubiquitous function of sexual reproduction throughout eukaryotes. Here we report that recombination is extremely suppressed during meiosis in the yeast species Saccharomycodes ludwigii. DNA double-strand break formation, processing and repair are required for normal meiosis but do not lead to crossing over. Although the species has retained an intact meiotic gene repertoire, genetic and population analyses suggest the exceptionally rare occurrence of meiotic crossovers. We propose that Sd. ludwigii has followed a unique evolutionary trajectory that possibly derives fitness benefits from the combination of frequent fertilization within the meiotic tetrad with the absence of meiotic recombination.

genetics↗

bioRxiv2021

Evolution of quantitative trait locus hotspots in yeast species

Dissecting the genetic basis of complex trait remains a real challenge. The budding yeast Saccharomyces cerevisiae has become a model organism for studying quantitative traits, successfully increasing our knowledge in many aspects. However, the exploration of the genotype-phenotype relationship in non-model yeast species could provide a deeper insight into the genetic basis of complex traits. Here, we have studied this relationship in the Lachancea waltii species which diverged from the S. cerevisiae lineage prior to the whole-genome duplication. By performing linkage mapping analyses in this species, we identified 86 quantitative trait loci (QTL) affecting growth fitness in a large number of conditions. The distribution of these loci across the genome has revealed two major QTL hotspots. A first hotspot corresponds to a general fitness QTL, impacting a wide range of conditions. By contrast, the second hotspot highlighted a fitness trade-off with a disadvantageous allele for drug-free conditions which proved to be advantageous in the presence of several drugs. Finally, the comparison of the detected QTL in L. waltii with those which had been previously identified for the same traits in a closely related species, Lachancea kluyveri, clearly revealed the absence of interspecific conservation of these loci. Altogether, our results expand our knowledge on the variation of the QTL landscape across different yeast species.

genetics↗