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Hénault M, Marsit S, Charron G, Landry CR. The genomic landscape of transposable elements in yeast hybrids is shaped by structural variation and genotype-specific modulation of transposition rate. eLife 2024; 12:RP89277. [PMID: 38411604 PMCID: PMC10911583 DOI: 10.7554/elife.89277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024] Open
Abstract
Transposable elements (TEs) are major contributors to structural genomic variation by creating interspersed duplications of themselves. In return, structural variants (SVs) can affect the genomic distribution of TE copies and shape their load. One long-standing hypothesis states that hybridization could trigger TE mobilization and thus increase TE load in hybrids. We previously tested this hypothesis (Hénault et al., 2020) by performing a large-scale evolution experiment by mutation accumulation (MA) on multiple hybrid genotypes within and between wild populations of the yeasts Saccharomyces paradoxus and Saccharomyces cerevisiae. Using aggregate measures of TE load with short-read sequencing, we found no evidence for TE load increase in hybrid MA lines. Here, we resolve the genomes of the hybrid MA lines with long-read phasing and assembly to precisely characterize the role of SVs in shaping the TE landscape. Highly contiguous phased assemblies of 127 MA lines revealed that SV types like polyploidy, aneuploidy, and loss of heterozygosity have large impacts on the TE load. We characterized 18 de novo TE insertions, indicating that transposition only has a minor role in shaping the TE landscape in MA lines. Because the scarcity of TE mobilization in MA lines provided insufficient resolution to confidently dissect transposition rate variation in hybrids, we adapted an in vivo assay to measure transposition rates in various S. paradoxus hybrid backgrounds. We found that transposition rates are not increased by hybridization, but are modulated by many genotype-specific factors including initial TE load, TE sequence variants, and mitochondrial DNA inheritance. Our results show the multiple scales at which TE load is shaped in hybrid genomes, being highly impacted by SV dynamics and finely modulated by genotype-specific variation in transposition rates.
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Affiliation(s)
- Mathieu Hénault
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université LavalQuébecCanada
- Département de biochimie, microbiologie et bioinformatique, Université LavalQuébecCanada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université LavalQuébecCanada
- Université Laval Big Data Research Center (BDRC_UL)QuébecCanada
| | - Souhir Marsit
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université LavalQuébecCanada
- Département de biochimie, microbiologie et bioinformatique, Université LavalQuébecCanada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université LavalQuébecCanada
- Université Laval Big Data Research Center (BDRC_UL)QuébecCanada
- Département de biologie, Université LavalQuébecCanada
| | - Guillaume Charron
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université LavalQuébecCanada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université LavalQuébecCanada
- Université Laval Big Data Research Center (BDRC_UL)QuébecCanada
- Département de biologie, Université LavalQuébecCanada
| | - Christian R Landry
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université LavalQuébecCanada
- Département de biochimie, microbiologie et bioinformatique, Université LavalQuébecCanada
- Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université LavalQuébecCanada
- Université Laval Big Data Research Center (BDRC_UL)QuébecCanada
- Département de biologie, Université LavalQuébecCanada
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Zhu YX, He M, Li KJ, Wang YK, Qian N, Wang ZF, Sheng H, Sui Y, Zhang DD, Zhang K, Qi L, Zheng DQ. Novel insights into the effects of 5-hydroxymethfurural on genomic instability and phenotypic evolution using a yeast model. Appl Environ Microbiol 2024; 90:e0164923. [PMID: 38108644 PMCID: PMC10807415 DOI: 10.1128/aem.01649-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
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.
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Affiliation(s)
- Ying-Xuan Zhu
- Hainan Institute of Zhejiang University, Zhejiang University, Sanya, China
- Ocean College, Zhejiang University, Zhoushan, China
| | - Min He
- Hainan Institute of Zhejiang University, Zhejiang University, Sanya, China
| | - Ke-Jing Li
- Ocean College, Zhejiang University, Zhoushan, China
| | - Ye-Ke Wang
- College of Life Science, Zhejiang University, Hangzhou, China
| | - Ning Qian
- Ocean College, Zhejiang University, Zhoushan, China
| | - Ze-Fei Wang
- Hainan Institute of Zhejiang University, Zhejiang University, Sanya, China
| | - Huan Sheng
- Ocean College, Zhejiang University, Zhoushan, China
| | - Yang Sui
- Ocean College, Zhejiang University, Zhoushan, China
| | | | - Ke Zhang
- College of Life Science, Zhejiang University, Hangzhou, China
| | - Lei Qi
- Ocean College, Zhejiang University, Zhoushan, China
| | - Dao-Qiong Zheng
- Hainan Institute of Zhejiang University, Zhejiang University, Sanya, China
- Ocean College, Zhejiang University, Zhoushan, China
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O'Donnell S, Yue JX, Saada OA, Agier N, Caradec C, Cokelaer T, De Chiara M, Delmas S, Dutreux F, Fournier T, Friedrich A, Kornobis E, Li J, Miao Z, Tattini L, Schacherer J, Liti G, Fischer G. Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae. Nat Genet 2023; 55:1390-1399. [PMID: 37524789 PMCID: PMC10412453 DOI: 10.1038/s41588-023-01459-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 06/26/2023] [Indexed: 08/02/2023]
Abstract
Pangenomes provide access to an accurate representation of the genetic diversity of species, both in terms of sequence polymorphisms and structural variants (SVs). Here we generated the Saccharomyces cerevisiae Reference Assembly Panel (ScRAP) comprising reference-quality genomes for 142 strains representing the species' phylogenetic and ecological diversity. The ScRAP includes phased haplotype assemblies for several heterozygous diploid and polyploid isolates. We identified circa (ca.) 4,800 nonredundant SVs that provide a broad view of the genomic diversity, including the dynamics of telomere length and transposable elements. We uncovered frequent cases of complex aneuploidies where large chromosomes underwent large deletions and translocations. We found that SVs can impact gene expression near the breakpoints and substantially contribute to gene repertoire evolution. We also discovered that horizontally acquired regions insert at chromosome ends and can generate new telomeres. Overall, the ScRAP demonstrates the benefit of a pangenome in understanding genome evolution at population scale.
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Affiliation(s)
- Samuel O'Donnell
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Jia-Xing Yue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Nicolas Agier
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Claudia Caradec
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Thomas Cokelaer
- Biomics Technological Platform, Center for Technological Resources and Research (C2RT), Institut Pasteur, Paris, France
- Bioinformatics and Biostatistics Hub, Computational Biology Department, Institut Pasteur, Paris, France
| | | | - Stéphane Delmas
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Fabien Dutreux
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Téo Fournier
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Etienne Kornobis
- Biomics Technological Platform, Center for Technological Resources and Research (C2RT), Institut Pasteur, Paris, France
- Bioinformatics and Biostatistics Hub, Computational Biology Department, Institut Pasteur, Paris, France
| | - Jing Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Zepu Miao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | | | | | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France.
| | - Gilles Fischer
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France.
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The teenage years of yeast population genomics trace history, admixing and getting wilder. Curr Opin Genet Dev 2022; 75:101942. [PMID: 35753210 DOI: 10.1016/j.gde.2022.101942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 11/22/2022]
Abstract
Population genomics studies the evolutionary processes that shape intraspecies genetic variations. In this review, I explore the insights into yeast-population genomics that have emerged from recent advances in sequencing. Genomes of the model Saccharomyces cerevisiae and many new yeast species from around the world are being used to address various aspects of population biology, including geographical origin, the level of introgression, domestication signatures, and outcrossing frequency. New long-read sequencing has enabled a greater capacity to quantify these variations at a finer resolution from complete de novo genomes at the population scale to phasing subgenomes of different origins. These resources provide a platform to dissect the relationship between phenotypes across environmental niches.
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Heasley LR, Argueso JL. Bursts of Genomic Instability Potentiate Phenotypic and Genomic Diversification in Saccharomyces cerevisiae. Front Genet 2022; 13:912851. [PMID: 35783258 PMCID: PMC9247159 DOI: 10.3389/fgene.2022.912851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
How microbial cells leverage their phenotypic potential to survive in a changing environment is a complex biological problem, with important implications for pathogenesis and species evolution. Stochastic phenotype switching, a particularly fascinating adaptive approach observed in numerous species across the tree of life, introduces phenotypic diversity into a population through mechanisms which have remained difficult to define. Here we describe our investigations into the mechanistic basis of colony morphology phenotype switching which occurs in populations of a pathogenic isolate of Saccharomyces cerevisiae, YJM311. We observed that clonal populations of YJM311 cells produce variant colonies that display altered morphologies and, using whole genome sequence analysis, discovered that these variant clones harbored an exceptional collection of karyotypes newly altered by de novo structural genomic variations (SVs). Overall, our analyses indicate that copy number alterations, more often than changes in allelic identity, provide the causative basis of this phenotypic variation. Individual variants carried between 1 and 16 de novo copy number variations, most of which were whole chromosomal aneuploidies. Notably, we found that the inherent stability of the diploid YJM311 genome is comparable to that of domesticated laboratory strains, indicating that the collections of SVs harbored by variant clones did not arise by a chronic chromosomal instability (CIN) mechanism. Rather, our data indicate that these variant clones acquired such complex karyotypic configurations simultaneously, during stochastic and transient episodes of punctuated systemic genomic instability (PSGI). Surprisingly, we found that the majority of these highly altered variant karyotypes were propagated with perfect fidelity in long-term passaging experiments, demonstrating that high aneuploidy burdens can often be conducive with prolonged genomic integrity. Together, our results demonstrate that colony morphology switching in YJM311 is driven by a stochastic process in which genome stability and plasticity are integrally coupled to phenotypic heterogeneity. Consequently, this system simultaneously introduces both phenotypic and genomic variation into a population of cells, which can, in turn perpetuate population diversity for many generations thereafter.
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