1
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Tsouris A, Brach G, Friedrich A, Hou J, Schacherer J. Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast. Mol Syst Biol 2024; 20:362-373. [PMID: 38355920 PMCID: PMC10987670 DOI: 10.1038/s44320-024-00021-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/16/2024] Open
Abstract
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.
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Affiliation(s)
- Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Gauthier Brach
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.
- Institut Universitaire de France (IUF), Paris, France.
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2
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Teyssonniere EM, Shichino Y, Mito M, Friedrich A, Iwasaki S, Schacherer J. Translation variation across genetic backgrounds reveals a post-transcriptional buffering signature in yeast. Nucleic Acids Res 2024; 52:2434-2445. [PMID: 38261993 PMCID: PMC10954453 DOI: 10.1093/nar/gkae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 12/21/2023] [Accepted: 01/11/2024] [Indexed: 01/25/2024] Open
Abstract
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.
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Affiliation(s)
| | - Yuichi Shichino
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Mari Mito
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
| | - Shintaro Iwasaki
- RNA Systems Biochemistry Laboratory, RIKEN Cluster for Pioneering Research, Wako, Saitama 351-0198, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
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3
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Legrand S, Saifudeen A, Bordelet H, Vernerey J, Guille A, Bignaud A, Thierry A, Acquaviva L, Gaudin M, Sanchez A, Johnson D, Friedrich A, Schacherer J, Neale MJ, Borde V, Koszul R, Llorente B. Absence of chromosome axis protein recruitment prevents meiotic recombination chromosome-wide in the budding yeast Lachancea kluyveri. Proc Natl Acad Sci U S A 2024; 121:e2312820121. [PMID: 38478689 PMCID: PMC10962940 DOI: 10.1073/pnas.2312820121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/24/2024] [Indexed: 03/27/2024] Open
Abstract
Meiotic recombination shows broad variations across species and along chromosomes and is often suppressed at and around genomic regions determining sexual compatibility such as mating type loci in fungi. Here, we show that the absence of Spo11-DSBs and meiotic recombination on Lakl0C-left, the chromosome arm containing the sex locus of the Lachancea kluyveri budding yeast, results from the absence of recruitment of the two chromosome axis proteins Red1 and Hop1, essential for proper Spo11-DSBs formation. Furthermore, cytological observation of spread pachytene meiotic chromosomes reveals that Lakl0C-left does not undergo synapsis. However, we show that the behavior of Lakl0C-left is independent of its particularly early replication timing and is not accompanied by any peculiar chromosome structure as detectable by Hi-C in this yet poorly studied yeast. Finally, we observed an accumulation of heterozygous mutations on Lakl0C-left and a sexual dimorphism of the haploid meiotic offspring, supporting a direct effect of this absence of meiotic recombination on L. kluyveri genome evolution and fitness. Because suppression of meiotic recombination on sex chromosomes is widely observed across eukaryotes, the mechanism for recombination suppression described here may apply to other species, with the potential to impact sex chromosome evolution.
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Affiliation(s)
- Sylvain Legrand
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
| | - Asma Saifudeen
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
| | - Hélène Bordelet
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, Paris75015, France
| | - Julien Vernerey
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
| | - Arnaud Guille
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
| | - Amaury Bignaud
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, Paris75015, France
| | - Agnès Thierry
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, Paris75015, France
| | - Laurent Acquaviva
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
| | - Maxime Gaudin
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
| | - Aurore Sanchez
- Institut Curie, Paris Sciences and Lettres University, Sorbonne Université, CNRS UMR 3244, Dynamics of Genetic Information, Paris75005, France
| | - Dominic Johnson
- Genome Damage and Stability Centre, School of Life Sciences, University of Sussex, BrightonBN1 9RH, United Kingdom
| | - Anne Friedrich
- Université de Strasbourg, CNRS, Génétique moléculaire, génomique, microbiologie UMR 7156, Strasbourg67000, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, Génétique moléculaire, génomique, microbiologie UMR 7156, Strasbourg67000, France
| | - Matthew J. Neale
- Genome Damage and Stability Centre, School of Life Sciences, University of Sussex, BrightonBN1 9RH, United Kingdom
| | - Valérie Borde
- Institut Curie, Paris Sciences and Lettres University, Sorbonne Université, CNRS UMR 3244, Dynamics of Genetic Information, Paris75005, France
| | - Romain Koszul
- Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, Paris75015, France
| | - Bertrand Llorente
- Centre de recherche en cancérologie de Marseille, CNRS UMR 7258, INSERM, Aix Marseille Université, Institut Paoli Calmettes, Marseille13009, France
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4
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Tsouris A, Brach G, Schacherer J, Hou J. Non-additive genetic components contribute significantly to population-wide gene expression variation. Cell Genom 2024; 4:100459. [PMID: 38190102 PMCID: PMC10794783 DOI: 10.1016/j.xgen.2023.100459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/19/2023] [Accepted: 11/09/2023] [Indexed: 01/09/2024]
Abstract
Gene expression variation, an essential step between genotype and phenotype, is collectively controlled by local (cis) and distant (trans) regulatory changes. Nevertheless, how these regulatory elements differentially influence gene expression variation remains unclear. Here, we bridge this gap by analyzing the transcriptomes of a large diallel panel consisting of 323 unique hybrids originating from genetically divergent Saccharomyces cerevisiae isolates. Our analysis across 5,087 transcript abundance traits showed that non-additive components account for 36% of the gene expression variance on average. By comparing allele-specific read counts in parent-hybrid trios, we found that trans-regulatory changes underlie the majority of gene expression variation in the population. Remarkably, most cis-regulatory variations are also exaggerated or attenuated by additional trans effects. Overall, we showed that the transcriptome is globally buffered at the genetic level mainly due to trans-regulatory variation in the population.
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Affiliation(s)
- Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
| | - Gauthier Brach
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France; Institut Universitaire de France (IUF), Paris, France.
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France.
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5
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Tsouris A, Fournier T, Friedrich A, Hou J, Dunham MJ, Schacherer J. Species-wide survey of the expressivity and complexity spectrum of traits in yeast. PLoS Genet 2024; 20:e1011119. [PMID: 38236897 PMCID: PMC10826966 DOI: 10.1371/journal.pgen.1011119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 01/30/2024] [Accepted: 01/02/2024] [Indexed: 01/31/2024] Open
Abstract
Assessing the complexity and expressivity of traits at the species level is an essential first step to better dissect the genotype-phenotype relationship. As trait complexity behaves dynamically, the classic dichotomy between monogenic and complex traits is too simplistic. However, no systematic assessment of this complexity spectrum has been carried out on a population scale to date. In this context, we generated a large diallel hybrid panel composed of 190 unique hybrids coming from 20 natural isolates representative of the S. cerevisiae genetic diversity. For each of these hybrids, a large progeny of 160 individuals was obtained, leading to a total of 30,400 offspring individuals. Their mitotic growth was evaluated on 38 conditions inducing various cellular stresses. We developed a classification algorithm to analyze the phenotypic distributions of offspring and assess the trait complexity. We clearly found that traits are mainly complex at the population level. On average, we found that 91.2% of cross/trait combinations exhibit high complexity, while monogenic and oligogenic cases accounted for only 4.1% and 4.7%, respectively. However, the complexity spectrum is very dynamic, trait specific and tightly related to genetic backgrounds. Overall, our study provided greater insight into trait complexity as well as the underlying genetic basis of its spectrum in a natural population.
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Affiliation(s)
- Andreas Tsouris
- 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
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Maitreya J. Dunham
- Genome Sciences Department, University of Washington, Seattle, Washington, United States of America
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
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6
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Teyssonnière E, Trébulle P, Muenzner J, Loegler V, Ludwig D, Amari F, Mülleder M, Friedrich A, Hou J, Ralser M, Schacherer J. Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast. bioRxiv 2023:2023.09.18.558197. [PMID: 37781592 PMCID: PMC10541136 DOI: 10.1101/2023.09.18.558197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
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. Highlights At the level of individual genes, the abundance of transcripts and proteins is weakly correlated within a species ( ρ = 0.165). While the proteome is not imprinted by population structure, co-expression patterns recapitulate the cellular functional landscapeWild populations exhibit a higher abundance of respiration-related proteins compared to domesticated populationsLoci that influence protein abundance differ from those that impact transcript levels, likely because of protein turnover.
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7
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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: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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8
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Avecilla G, Spealman P, Matthews J, Caudal E, Schacherer J, Gresham D. Copy number variation alters local and global mutational tolerance. Genome Res 2023; 33:1340-1353. [PMID: 37652668 PMCID: PMC10547251 DOI: 10.1101/gr.277625.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 07/07/2023] [Indexed: 09/02/2023]
Abstract
Copy number variants (CNVs), duplications and deletions of genomic sequences, contribute to evolutionary adaptation but can also confer deleterious effects and cause disease. Whereas the effects of amplifying individual genes or whole chromosomes (i.e., aneuploidy) have been studied extensively, much less is known about the genetic and functional effects of CNVs of differing sizes and structures. Here, we investigated Saccharomyces cerevisiae (yeast) strains that acquired adaptive CNVs of variable structures and copy numbers following experimental evolution in glutamine-limited chemostats. Although beneficial in the selective environment, CNVs result in decreased fitness compared with the euploid ancestor in rich media. We used transposon mutagenesis to investigate mutational tolerance and genome-wide genetic interactions in CNV strains. We find that CNVs increase mutational target size, confer increased mutational tolerance in amplified essential genes, and result in novel genetic interactions with unlinked genes. We validated a novel genetic interaction between different CNVs and BMH1 that was common to multiple strains. We also analyzed global gene expression and found that transcriptional dosage compensation does not affect most genes amplified by CNVs, although gene-specific transcriptional dosage compensation does occur for ∼12% of amplified genes. Furthermore, we find that CNV strains do not show previously described transcriptional signatures of aneuploidy. Our study reveals the extent to which local and global mutational tolerance is modified by CNVs with implications for genome evolution and CNV-associated diseases, such as cancer.
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Affiliation(s)
- Grace Avecilla
- Department of Biology, New York University, New York, New York 10003, USA
- Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA
| | - Pieter Spealman
- Department of Biology, New York University, New York, New York 10003, USA
- Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA
| | - Julia Matthews
- Department of Biology, New York University, New York, New York 10003, USA
- Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA
| | - Elodie Caudal
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
- Institut Universitaire de France (IUF), 75231 Paris Cedex 05, France
| | - David Gresham
- Department of Biology, New York University, New York, New York 10003, USA;
- Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA
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9
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Tsouris A, Brach G, Friedrich A, Hou J, Schacherer J. Diallel panel reveals a significant impact of low-frequency genetic variants on gene expression variation in yeast. bioRxiv 2023:2023.07.21.550015. [PMID: 37503053 PMCID: PMC10370210 DOI: 10.1101/2023.07.21.550015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
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.
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Affiliation(s)
- Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Gauthier Brach
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
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10
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Tsouris A, Brach G, Schacherer J, Hou J. Non-additive genetic components contribute significantly to population-wide gene expression variation. bioRxiv 2023:2023.07.21.550013. [PMID: 37546809 PMCID: PMC10401925 DOI: 10.1101/2023.07.21.550013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Gene expression variation, an essential step between genomic variation and phenotypic landscape, is collectively controlled by local (cis) and distant (trans) regulatory changes. Nevertheless, how these regulatory elements differentially influence the heritability of expression traits remains unclear. Here, we bridge this gap by analyzing the transcriptomes of a large diallel panel consisting of 323 unique hybrids originated from genetically divergent yeast isolates. We estimated the broad- and narrow-sense heritability across 5,087 transcript abundance traits and showed that non-additive components account for 36% of the phenotypic variance on average. By comparing allelic expression ratios in the hybrid and the corresponding parental pair, we identified regulatory changes in 25% of all cases, with a majority acting in trans. We further showed that trans-regulation could underlie coordinated expression variation across highly connected genes, resulting in significantly higher non-additive variance and most likely in some of the missing heritability of gene expression traits.
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Affiliation(s)
- Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Gauthier Brach
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
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11
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Jallet A, Friedrich A, Schacherer J. Impact of the acquired subgenome on the transcriptional landscape in Brettanomyces bruxellensis allopolyploids. G3 (Bethesda) 2023; 13:jkad115. [PMID: 37226280 PMCID: PMC10320193 DOI: 10.1093/g3journal/jkad115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/21/2023] [Accepted: 05/18/2023] [Indexed: 05/26/2023]
Abstract
Gene expression variation can provide an overview of the changes in regulatory networks that underlie phenotypic diversity. Certain evolutionary trajectories such as polyploidization events can have an impact on the transcriptional landscape. Interestingly, the evolution of the yeast species Brettanomyces bruxellensis has been punctuated by diverse allopolyploidization events leading to the coexistence of a primary diploid genome associated with various haploid acquired genomes. To assess the impact of these events on gene expression, we generated and compared the transcriptomes of a set of 87 B. bruxellensis isolates, selected as being representative of the genomic diversity of this species. Our analysis revealed that acquired subgenomes strongly impact the transcriptional patterns and allow discrimination of allopolyploid populations. In addition, clear transcriptional signatures related to specific populations have been revealed. The transcriptional variations observed are related to some specific biological processes such as transmembrane transport and amino acids metabolism. Moreover, we also found that the acquired subgenome causes the overexpression of some genes involved in the production of flavor-impacting secondary metabolites, especially in isolates of the beer population.
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Affiliation(s)
- Arthur Jallet
- CNRS, GMGM UMR 7156, Université de Strasbourg, 67000 Strasbourg, France
| | - Anne Friedrich
- CNRS, GMGM UMR 7156, Université de Strasbourg, 67000 Strasbourg, France
| | - Joseph Schacherer
- CNRS, GMGM UMR 7156, Université de Strasbourg, 67000 Strasbourg, France
- Institut Universitaire de France (IUF), 75005 Paris, France
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12
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Friedrich A, Gounot JS, Tsouris A, Bleykasten C, Freel K, Caradec C, Schacherer J. Contrasting Genomic Evolution Between Domesticated and Wild Kluyveromyces lactis Yeast Populations. Genome Biol Evol 2023; 15:6986421. [PMID: 36634937 PMCID: PMC9897184 DOI: 10.1093/gbe/evad004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/20/2022] [Accepted: 01/09/2023] [Indexed: 01/14/2023] Open
Abstract
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 Kluyveromyces lactis, a yeast species well known for its involvement in dairy processes and also present in natural environments. Using a combination of short- and long-read sequencing strategies, we investigated the genomic variability of 41 K. lactis isolates and found that the overall genetic diversity of this species is very high (θw = 3.3 × 10-2) compared with other species such as Saccharomyces cerevisiae (θw = 1.6 × 10-2). However, the domesticated dairy population shows a reduced level of diversity (θw = 1 × 10-3), 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 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.
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Affiliation(s)
| | | | - Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg 67000, France
| | | | - Kelle Freel
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg 67000, France
| | - Claudia Caradec
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg 67000, France
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13
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Dutreux F, Dutta A, Peltier E, Bibi-Triki S, Friedrich A, Llorente B, Schacherer J. Lessons from the meiotic recombination landscape of the ZMM deficient budding yeast Lachancea waltii. PLoS Genet 2023; 19:e1010592. [PMID: 36608114 PMCID: PMC9851511 DOI: 10.1371/journal.pgen.1010592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 01/19/2023] [Accepted: 12/22/2022] [Indexed: 01/09/2023] Open
Abstract
Meiotic recombination is a driving force for genome evolution, deeply characterized in a few model species, notably in the budding yeast Saccharomyces cerevisiae. Interestingly, Zip2, Zip3, Zip4, Spo16, Msh4, and Msh5, members of the so-called ZMM pathway that implements the interfering meiotic crossover pathway in S. cerevisiae, have been lost in Lachancea yeast species after the divergence of Lachancea kluyveri from the rest of the clade. In this context, after investigating meiosis in L. kluyveri, we determined the meiotic recombination landscape of Lachancea waltii. Attempts to generate diploid strains with fully hybrid genomes invariably resulted in strains with frequent whole-chromosome aneuploidy and multiple extended regions of loss of heterozygosity (LOH), which mechanistic origin is so far unclear. Despite the lack of multiple ZMM pro-crossover factors in L. waltii, numbers of crossovers and noncrossovers per meiosis were higher than in L. kluyveri but lower than in S. cerevisiae, for comparable genome sizes. Similar to L. kluyveri but opposite to S. cerevisiae, L. waltii exhibits an elevated frequency of zero-crossover bivalents. Lengths of gene conversion tracts for both crossovers and non-crossovers in L. waltii were comparable to those observed in S. cerevisiae and shorter than in L. kluyveri despite the lack of Mlh2, a factor limiting conversion tract size in S. cerevisiae. L. waltii recombination hotspots were 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, L. waltii crossover interference was reduced relative to S. cerevisiae, with interference being detected only in the 25 kb distance range. Detection of positive inference only at short distance scales in the absence of multiple ZMM factors required for interference-sensitive crossovers in other systems likely reflects interference between early recombination precursors such as DSBs.
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Affiliation(s)
- Fabien Dutreux
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Abhishek Dutta
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Emilien Peltier
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | | | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Bertrand Llorente
- CNRS UMR7258, INSERM U1068, Aix Marseille Université UM105, Institut Paoli-Calmettes, CRCM, Marseille, France,* E-mail: (BL); (JS)
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France,Institut Universitaire de France (IUF), Paris, France,* E-mail: (BL); (JS)
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14
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Abstract
The appearance of genomic variations such as loss of heterozygosity (LOH) has a significant impact on phenotypic diversity observed in a population. Recent large-scale yeast population genomic surveys have shown a high frequency of these events in natural isolates and more particularly in polyploids. However, the frequency, extent, and spectrum of LOH in polyploid organisms have never been explored and are poorly characterized to date. Here, we accumulated 5,163 LOH events over 1,875 generations in 76 mutation accumulation (MA) lines comprising nine natural heterozygous diploid, triploid, and tetraploid natural S. cerevisiae isolates from different ecological and geographical origins. We found that the rate and spectrum of LOH are variable across ploidy levels. Of the total accumulated LOH events, 8.5%, 21%, and 70.5% of them were found in diploid, triploid, and tetraploid MA lines, respectively. Our results clearly show that the frequency of generated LOH events increases with ploidy level. In fact, the cumulative LOH rates were estimated to be 9.3 × 10−3, 2.2 × 10−2, and 8.4 × 10−2 events per division for diploids, triploids, and tetraploids, respectively. In addition, a clear bias toward the accumulation of interstitial and short LOH tracts is observed in triploids and tetraploids compared with diploids. The variation of the frequency and spectrum of LOH events across ploidy level could be related to the genomic instability, characterizing higher ploidy isolates.
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Affiliation(s)
- Abhishek Dutta
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Fabien Dutreux
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF), Paris, France
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15
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Peter J, Friedrich A, Liti G, Schacherer J. Extensive simulations assess the performance of genome-wide association mapping in various
Saccharomyces cerevisiae
subpopulations. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200514. [PMID: 35634920 PMCID: PMC9149792 DOI: 10.1098/rstb.2020.0514] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
With the advent of high throughput sequencing technologies, genome-wide association studies (GWAS) have become a powerful paradigm for dissecting the genetic origins of the observed phenotypic variation. We recently completely sequenced the genome of 1011 Saccharomyces cerevisiae isolates, laying a strong foundation for GWAS. To assess the feasibility and the limits of this approach, we performed extensive simulations using five selected subpopulations as well as the total set of 1011 genomes. We measured the ability to detect the causal genetic variants involved in Mendelian and more complex traits using a linear mixed model approach. The results showed that population structure is well accounted for and is not the main problem when the sample size is high enough. While the genetic determinant of a Mendelian trait is easily mapped in all studied subpopulations, discrepancies are seen between datasets when performing GWAS on a complex trait in terms of detection, false positive and false negative rate. Finally, we performed GWAS on the different defined subpopulations using a real quantitative trait (resistance to copper sulfate) and showed the feasibility of this approach. The performance of each dataset depends simultaneously on several factors such as sample size, relatedness and population evolutionary history. This article is part of the theme issue ‘Genetic basis of adaptation and speciation: from loci to causative mutations’.
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Affiliation(s)
- Jackson Peter
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
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16
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Saada OA, Friedrich A, Schacherer J. Towards accurate, contiguous and complete alignment-based polyploid phasing algorithms. Genomics 2022; 114:110369. [PMID: 35483655 DOI: 10.1016/j.ygeno.2022.110369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 03/09/2022] [Accepted: 04/11/2022] [Indexed: 01/14/2023]
Abstract
Phasing, and in particular polyploid phasing, have been challenging problems held back by the limited read length of high-throughput short read sequencing methods which can't overcome the distance between heterozygous sites and labor high cost of alternative methods such as the physical separation of chromosomes for example. Recently developed single molecule long-read sequencing methods provide much longer reads which overcome this previous limitation. Here we review the alignment-based methods of polyploid phasing that rely on four main strategies: population inference methods, which leverage the genetic information of several individuals to phase a sample; objective function minimization methods, which minimize a function such as the Minimum Error Correction (MEC); graph partitioning methods, which represent the read data as a graph and split it into k haplotype subgraphs; cluster building methods, which iteratively grow clusters of similar reads into a final set of clusters that represent the haplotypes. We discuss the advantages and limitations of these methods and the metrics used to assess their performance, proposing that accuracy and contiguity are the most meaningful metrics. Finally, we propose the field of alignment-based polyploid phasing would greatly benefit from the use of a well-designed benchmarking dataset with appropriate evaluation metrics. We consider that there are still significant improvements which can be achieved to obtain more accurate and contiguous polyploid phasing results which reflect the complexity of polyploid genome architectures.
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Affiliation(s)
- Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR, 7156 Strasbourg, France; Institut Universitaire de France (IUF), Paris, France.
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17
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De Chiara M, Barré BP, Persson K, Irizar A, Vischioni C, Khaiwal S, Stenberg S, Amadi OC, Žun G, Doberšek K, Taccioli C, Schacherer J, Petrovič U, Warringer J, Liti G. Domestication reprogrammed the budding yeast life cycle. Nat Ecol Evol 2022; 6:448-460. [PMID: 35210580 DOI: 10.1038/s41559-022-01671-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 12/14/2021] [Indexed: 11/09/2022]
Abstract
Domestication of plants and animals is the foundation for feeding the world human population but can profoundly alter the biology of the domesticated species. Here we investigated the effect of domestication on one of our prime model organisms, the yeast Saccharomyces cerevisiae, at a species-wide level. We tracked the capacity for sexual and asexual reproduction and the chronological life span across a global collection of 1,011 genome-sequenced yeast isolates and found a remarkable dichotomy between domesticated and wild strains. Domestication had systematically enhanced fermentative and reduced respiratory asexual growth, altered the tolerance to many stresses and abolished or impaired the sexual life cycle. The chronological life span remained largely unaffected by domestication and was instead dictated by clade-specific evolution. We traced the genetic origins of the yeast domestication syndrome using genome-wide association analysis and genetic engineering and disclosed causative effects of aneuploidy, gene presence/absence variations, copy number variations and single-nucleotide polymorphisms. Overall, we propose domestication to be the most dramatic event in budding yeast evolution, raising questions about how much domestication has distorted our understanding of the natural biology of this key model species.
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Affiliation(s)
| | - Benjamin P Barré
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Karl Persson
- Department of Chemistry and Molecular Biology, Gothenburg University, Gothenburg, Sweden
| | | | - Chiara Vischioni
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France.,Department of Animal Medicine, Production and Health, University of Padova, Legnaro, Italy
| | - Sakshi Khaiwal
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Simon Stenberg
- Department of Chemistry and Molecular Biology, Gothenburg University, Gothenburg, Sweden
| | - Onyetugo Chioma Amadi
- Department of Chemistry and Molecular Biology, Gothenburg University, Gothenburg, Sweden.,Department of Microbiology, University of Nigeria, Nsukka, Nigeria
| | - Gašper Žun
- Department of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.,Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Katja Doberšek
- Department of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Cristian Taccioli
- Department of Animal Medicine, Production and Health, University of Padova, Legnaro, Italy
| | | | - Uroš Petrovič
- Department of Molecular and Biomedical Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.,Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Jonas Warringer
- Department of Chemistry and Molecular Biology, Gothenburg University, Gothenburg, Sweden.
| | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France.
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18
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Harrouard J, Eberlein C, Ballestra P, Dols-Lafargue M, Masneuf-Pomarede I, Miot-Sertier C, Schacherer J, Albertin W. Brettanomyces bruxellensis: Overview of the genetic and phenotypic diversity of an anthropized yeast. Mol Ecol 2022; 32:2374-2395. [PMID: 35318747 DOI: 10.1111/mec.16439] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 03/08/2022] [Accepted: 03/16/2022] [Indexed: 12/24/2022]
Abstract
Human-associated microorganisms are ideal models to study the impact of environmental changes on species evolution and adaptation because of their small genome, short generation time, and their colonization of contrasting and ever-changing ecological niches. The yeast Brettanomyces bruxellensis is a good example of organism facing anthropogenic-driven selective pressures. It is associated with fermentation processes in which it can be considered either as a spoiler (e.g. winemaking, bioethanol production) or as a beneficial microorganism (e.g. production of specific beers, kombucha). Besides its industrial interests, noteworthy parallels and dichotomies with Saccharomyces cerevisiae propelled B. bruxellensis as a valuable complementary yeast model. In this review, we emphasize that the broad genetic and phenotypic diversity of this species is only beginning to be uncovered. Population genomic studies have revealed the co-existence of auto- and allotriploidization events with different evolutionary outcomes. The different diploid, autotriploid and allotriploid subpopulations are associated with specific fermented processes, suggesting independent adaptation events to anthropized environments. Phenotypically, B. bruxellensis is renowned for its ability to metabolize a wide variety of carbon and nitrogen sources, which may explain its ability to colonize already fermented environments showing low-nutrient contents. Several traits of interest could be related to adaptation to human activities (e.g. nitrate metabolization in bioethanol production, resistance to sulphite treatments in winemaking). However, phenotypic traits are insufficiently studied in view of the great genomic diversity of the species. Future work will have to take into account strains of varied substrates, geographical origins as well as displaying different ploidy levels to improve our understanding of an anthropized yeast's phenotypic landscape.
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Affiliation(s)
- Jules Harrouard
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France
| | - Chris Eberlein
- Université de Strasbourg, CNRS, GMGM, UMR 7156, Strasbourg, France
| | - Patricia Ballestra
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France
| | - Marguerite Dols-Lafargue
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France.,ENSCBP, Bordeaux INP, 33600, Pessac, France
| | - Isabelle Masneuf-Pomarede
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France.,BSA, 33170, Gradignan
| | - Cécile Miot-Sertier
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM, UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF), Paris, France
| | - Warren Albertin
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France.,ENSCBP, Bordeaux INP, 33600, Pessac, France
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19
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Saada OA, Tsouris A, Large C, Friedrich A, Dunham MJ, Schacherer J. Phased polyploid genomes provide deeper insight into the multiple origins of domesticated Saccharomyces cerevisiae beer yeasts. Curr Biol 2022; 32:1350-1361.e3. [PMID: 35180385 DOI: 10.1016/j.cub.2022.01.068] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/02/2021] [Accepted: 01/21/2022] [Indexed: 10/19/2022]
Abstract
Yeasts, and in particular Saccharomyces cerevisiae, have been used for brewing beer for thousands of years. Population genomic surveys highlighted that beer yeasts are polyphyletic, with the emergence of different domesticated subpopulations characterized by high genetic diversity and ploidy level. However, the different origins of these subpopulations are still unclear as reconstruction of polyploid genomes is required. To gain better insight into the differential evolutionary trajectories, we sequenced the genomes of 35 Saccharomyces cerevisiae isolates coming from different beer-brewing clades, using a long-read sequencing strategy. By phasing the genomes and using a windowed approach, we identified three main beer subpopulations based on allelic content (European dominant, Asian dominant, and African beer). They were derived from different admixtures between populations and are characterized by distinctive genomic patterns. By comparing the fully phased genes, the most diverse in our dataset are enriched for functions relevant to the brewing environment such as carbon metabolism, oxidoreduction, and cell wall organization activity. Finally, independent domestication, evolution, and adaptation events across subpopulations were also highlighted by investigating specific genes previously linked to the brewing process. Altogether, our analysis based on phased polyploid genomes has led to new insight into the contrasting evolutionary history of beer isolates.
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Affiliation(s)
- Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Chris Large
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Maitreya J Dunham
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France; Institut Universitaire de France (IUF), Paris, France.
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20
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Tsouris A, Schacherer J, Ishchuk OP. RNA Interference (RNAi ) as a Tool for High-Resolution Phenotypic Screening of the Pathogenic Yeast Candida glabrata. Methods Mol Biol 2022; 2477:313-330. [PMID: 35524125 DOI: 10.1007/978-1-0716-2257-5_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
After its discovery RNA interference (RNAi) has become a powerful tool to study gene functions in different organisms. RNAi has been applied at genome-wide scale and can be nowadays performed using high-throughput automated systems (robotics). The simplest RNAi process requires the expression of two genes (Dicer and Argonaute) to function. To initiate the silencing, constructs generating either double-strand RNA or antisense RNA are required. Recently, RNAi was reconstituted by expressing Saccharomyces castellii genes in the human pathogenic yeast Candida glabrata and was used to identify new genes related to the virulence of this pathogen.In this chapter, we describe a method to make the C. glabrata pathogenic yeast competent for RNAi and to use RNA silencing as a tool for low- or high-resolution phenotypic screening in this species.
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Affiliation(s)
- Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
| | - Olena P Ishchuk
- Department of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.
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21
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Eberlein C, Abou Saada O, Friedrich A, Albertin W, Schacherer J. Different trajectories of polyploidization shape the genomic landscape of the Brettanomyces bruxellensis yeast species. Genome Res 2021; 31:2316-2326. [PMID: 34815309 PMCID: PMC8647821 DOI: 10.1101/gr.275380.121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 10/25/2021] [Indexed: 01/01/2023]
Abstract
Polyploidization events are observed across the tree of life and occur in many fungi, plant, and animal species. During evolution, polyploidy is thought to be an important source of speciation and tumorigenesis. However, the origin of polyploid populations is not always clear, and little is known about the precise nature and structure of their complex genome. Using a long-read sequencing strategy, we sequenced 71 strains from the Brettanomyces bruxellensis yeast species, which is found in anthropized environments (e.g., beer, contaminant of wine, kombucha, and ethanol production) and characterized by several polyploid subpopulations. To reconstruct the polyploid genomes, we phased them by using different strategies and found that each subpopulation had a unique polyploidization history with distinct trajectories. The polyploid genomes contain either genetically closely related (with a genetic divergence <1%) or diverged copies (>3%), indicating auto- as well as allopolyploidization events. These latest events have occurred independently with a specific and unique donor in each of the polyploid subpopulations and exclude the known Brettanomyces sister species as possible donors. Finally, loss of heterozygosity events has shaped the structure of these polyploid genomes and underline their dynamics. Overall, our study highlights the multiplicity of the trajectories leading to polyploid genomes within the same species.
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Affiliation(s)
- Chris Eberlein
- Université de Strasbourg, CNRS, GMGM UMR 7156, 67000 Strasbourg, France
| | - Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, 67000 Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, 67000 Strasbourg, France
| | - Warren Albertin
- Université de Bordeaux, ISVV, Unité de Recherche Œnologie EA 4577, USC 1366 INRA, Bordeaux INP, F-33140 Villenave d'Ornon, France
- ENSCBP, Bordeaux INP, 33600 Pessac, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, 67000 Strasbourg, France
- Institut Universitaire de France (IUF), 75231 Paris, France
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22
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Papaioannou IA, Dutreux F, Peltier FA, Maekawa H, Delhomme N, Bardhan A, Friedrich A, Schacherer J, Knop M. Sex without crossing over in the yeast Saccharomycodes ludwigii. Genome Biol 2021; 22:303. [PMID: 34732243 PMCID: PMC8567612 DOI: 10.1186/s13059-021-02521-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/20/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Intermixing of genomes through meiotic reassortment and recombination of homologous chromosomes is a unifying theme of sexual reproduction in eukaryotic organisms and is considered crucial for their adaptive evolution. Previous studies of the budding yeast species Saccharomycodes ludwigii suggested that meiotic crossing over might be absent from its sexual life cycle, which is predominated by fertilization within the meiotic tetrad. RESULTS We demonstrate that recombination is extremely suppressed during meiosis in Sd. ludwigii. DNA double-strand break formation by the conserved transesterase Spo11, processing and repair involving interhomolog interactions 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 in its genome. A strong AT bias of spontaneous mutations and the absence of recombination are likely responsible for its unusually low genomic GC level. CONCLUSIONS Sd. ludwigii has followed a unique evolutionary trajectory that possibly derives fitness benefits from the combination of frequent mating between products of the same meiotic event with the extreme suppression of meiotic recombination. This life style ensures preservation of heterozygosity throughout its genome and may enable the species to adapt to its environment and survive with only minimal levels of rare meiotic recombination. We propose Sd. ludwigii as an excellent natural forum for the study of genome evolution and recombination rates.
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Affiliation(s)
| | - Fabien Dutreux
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - France A. Peltier
- Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany
| | - Hiromi Maekawa
- Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany
- Current affiliation: Faculty of Agriculture, Kyushu University, Fukuoka, Japan
| | - Nicolas Delhomme
- Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Amit Bardhan
- Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
| | - Michael Knop
- Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany
- German Cancer Research Center (DKFZ), DKFZ-ZMBH Alliance, Heidelberg, Germany
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23
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Peltier E, Vion C, Abou Saada O, Friedrich A, Schacherer J, Marullo P. Flor Yeasts Rewire the Central Carbon Metabolism During Wine Alcoholic Fermentation. Front Fungal Biol 2021; 2:733513. [PMID: 37744152 PMCID: PMC10512321 DOI: 10.3389/ffunb.2021.733513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/31/2021] [Indexed: 09/26/2023]
Abstract
The identification of natural allelic variations controlling quantitative traits could contribute to decipher metabolic adaptation mechanisms within different populations of the same species. Such variations could result from human-mediated selection pressures and participate to the domestication. In this study, the genetic causes of the phenotypic variability of the central carbon metabolism of Saccharomyces cerevisiae were investigated in the context of the enological fermentation. The genetic determinism of this trait was found out by a quantitative trait loci (QTL) mapping approach using the offspring of two strains belonging to the wine genetic group of the species. A total of 14 QTL were identified from which 8 were validated down to the gene level by genetic engineering. The allelic frequencies of the validated genes within 403 enological strains showed that most of the validated QTL had allelic variations involving flor yeast specific alleles. Those alleles were brought in the offspring by one parental strain that contains introgressions from the flor yeast genetic group. The causative genes identified are functionally linked to quantitative proteomic variations that would explain divergent metabolic features of wine and flor yeasts involving the tricarboxylic acid cycle (TCA), the glyoxylate shunt and the homeostasis of proton and redox cofactors. Overall, this work led to the identification of genetic factors that are hallmarks of adaptive divergence between flor yeast and wine yeast in the wine biotope. These results also reveal that introgressions originated from intraspecific hybridization events promoted phenotypic variability of carbon metabolism observed in wine strains.
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Affiliation(s)
- Emilien Peltier
- Unité de Recherche Œnologie EA 4577, USC 1366 INRA, Bordeaux INP, ISVV, Université de Bordeaux, Bordeaux, France
- Biolaffort, Bordeaux, France
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Charlotte Vion
- Unité de Recherche Œnologie EA 4577, USC 1366 INRA, Bordeaux INP, ISVV, Université de Bordeaux, Bordeaux, France
- Biolaffort, Bordeaux, France
| | - Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | | | - Philippe Marullo
- Unité de Recherche Œnologie EA 4577, USC 1366 INRA, Bordeaux INP, ISVV, Université de Bordeaux, Bordeaux, France
- Biolaffort, Bordeaux, France
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24
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Peltier E, Bibi-Triki S, Dutreux F, Caradec C, Friedrich A, Llorente B, Schacherer J. Dissection of quantitative trait loci in the Lachancea waltii yeast species highlights major hotspots. G3 (Bethesda) 2021; 11:jkab242. [PMID: 34544138 PMCID: PMC8496267 DOI: 10.1093/g3journal/jkab242] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/06/2021] [Indexed: 11/30/2022]
Abstract
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) impacting the growth 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 growth QTL, impacting a wide range of conditions. By contrast, the second hotspot highlighted a trade-off with a disadvantageous allele for drug-free conditions which proved to be advantageous in the presence of several drugs. Finally, a comparison of the detected QTL in L. waltii with those which had been previously identified for the same trait in a closely related species, Lachancea kluyveri was performed. This analysis clearly showed the absence of shared QTL across these species. Altogether, our results represent a first step toward the exploration of the genetic architecture of quantitative trait across different yeast species.
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Affiliation(s)
- Emilien Peltier
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | | | - Fabien Dutreux
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Claudia Caradec
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Bertrand Llorente
- CNRS UMR7258, INSERM U1068, Aix Marseille Université UM105, Institut Paoli-Calmettes, CRCM, Marseille, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- Institut Universitaire de France (IUF), Paris, France
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25
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Gounot JS, Neuvéglise C, Freel KC, Devillers H, Piškur J, Friedrich A, Schacherer J. High Complexity and Degree of Genetic Variation in Brettanomyces bruxellensis Population. Genome Biol Evol 2021; 12:795-807. [PMID: 32302403 PMCID: PMC7313668 DOI: 10.1093/gbe/evaa077] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2020] [Indexed: 12/13/2022] Open
Abstract
Genome-wide characterization of genetic variants of a large population of individuals within the same species is essential to have a deeper insight into its evolutionary history as well as the genotype–phenotype relationship. Population genomic surveys have been performed in multiple yeast species, including the two model organisms, Saccharomyces cerevisiae and Schizosaccharomyces pombe. In this context, we sought to characterize at the population level the Brettanomyces bruxellensis yeast species, which is a major cause of wine spoilage and can contribute to the specific flavor profile of some Belgium beers. We have completely sequenced the genome of 53 B. bruxellensis strains isolated worldwide. The annotation of the reference genome allowed us to define the gene content of this species. As previously suggested, our genomic data clearly highlighted that genetic diversity variation is related to ploidy level, which is variable in the B. bruxellensis species. Genomes are punctuated by multiple loss-of-heterozygosity regions, whereas aneuploidies as well as segmental duplications are uncommon. Interestingly, triploid genomes are more prone to gene copy number variation than diploids. Finally, the pangenome of the species was reconstructed and was found to be small with few accessory genes compared with S. cerevisiae. The pangenome is composed of 5,409 ORFs (open reading frames) among which 5,106 core ORFs and 303 ORFs that are variable within the population. All these results highlight the different trajectories of species evolution and consequently the interest of establishing population genomic surveys in more populations.
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Affiliation(s)
| | - Cécile Neuvéglise
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Kelle C Freel
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Hugo Devillers
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Jure Piškur
- Department of Biology, Lund University, Sweden
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF)
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26
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Dutta A, Dutreux F, Schacherer J. Loss of heterozygosity results in rapid but variable genome homogenization across yeast genetic backgrounds. eLife 2021; 10:70339. [PMID: 34159898 PMCID: PMC8245132 DOI: 10.7554/elife.70339] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 06/11/2021] [Indexed: 12/12/2022] Open
Abstract
The dynamics and diversity of the appearance of genetic variants play an essential role in the evolution of the genome and the shaping of biodiversity. Recent population-wide genome sequencing surveys have highlighted the importance of loss of heterozygosity (LOH) events and have shown that they are a neglected part of the genetic diversity landscape. To assess the extent, variability, and spectrum, we explored the accumulation of LOH events in 169 heterozygous diploid Saccharomyces cerevisiae mutation accumulation lines across nine genetic backgrounds. In total, we detected a large set of 22,828 LOH events across distinct genetic backgrounds with a heterozygous level ranging from 0.1% to 1%. LOH events are very frequent with a rate consistently much higher than the mutation rate, showing their importance for genome evolution. We observed that the interstitial LOH (I-LOH) events, resulting in internal short LOH tracts, were much frequent (n = 19,660) than the terminal LOH (T-LOH) events, that is, tracts extending to the end of the chromosome (n = 3168). However, the spectrum, the rate, and the fraction of the genome under LOH vary across genetic backgrounds. Interestingly, we observed that the more the ancestors were heterozygous, the more they accumulated T-LOH events. In addition, frequent short I-LOH tracts are a signature of the lines derived from hybrids with low spore fertility. Finally, we found lines showing almost complete homozygotization during vegetative progression. Overall, our results highlight that the variable dynamics of the LOH accumulation across distinct genetic backgrounds might lead to rapid differential genome evolution during vegetative growth.
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Affiliation(s)
- Abhishek Dutta
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Fabien Dutreux
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF), Paris, France
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27
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Bleykasten-Grosshans C, Fabrizio R, Friedrich A, Schacherer J. Species-wide transposable element repertoires retrace the evolutionary history of the Saccharomyces cerevisiae host. Mol Biol Evol 2021; 38:4334-4345. [PMID: 34115140 PMCID: PMC8476168 DOI: 10.1093/molbev/msab171] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Transposable elements (TE) are an important source of genetic variation with a dynamic and content that greatly differ in a wide range of species. The origin of the intraspecific content variation is not always clear and little is known about the precise nature of it. Here, we surveyed the species-wide content of the Ty LTR-retrotransposons in a broad collection of 1,011 Saccharomyces cerevisiae natural isolates to understand what can stand behind the variation of the repertoire that is the type and number of Ty elements. We have compiled an exhaustive catalog of all the TE sequence variants present in the S. cerevisiae species by identifying a large set of new sequence variants. The characterization of the TE content in each isolate clearly highlighted that each subpopulation exhibits a unique and specific repertoire, retracing the evolutionary history of the species. Most interestingly, we have shown that ancient interspecific hybridization events had a major impact in the birth of new sequence variants and therefore in the shaping of the TE repertoires. We also investigated the transpositional activity of these elements in a large set of natural isolates, and we found a broad variability related to the level of ploidy as well as the genetic background. Overall, our results pointed out that the evolution of the Ty content is deeply impacted by clade-specific events such as introgressions and therefore follows the population structure. In addition, our study lays the foundation for future investigations to better understand the transpositional regulation and more broadly the TE–host interactions.
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Affiliation(s)
| | - Romeo Fabrizio
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF)
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28
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Abou Saada O, Tsouris A, Eberlein C, Friedrich A, Schacherer J. nPhase: an accurate and contiguous phasing method for polyploids. Genome Biol 2021; 22:126. [PMID: 33926549 PMCID: PMC8082856 DOI: 10.1186/s13059-021-02342-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 04/08/2021] [Indexed: 01/06/2023] Open
Abstract
While genome sequencing and assembly are now routine, we do not have a full, precise picture of polyploid genomes. No existing polyploid phasing method provides accurate and contiguous haplotype predictions. We developed nPhase, a ploidy agnostic tool that leverages long reads and accurate short reads to solve alignment-based phasing for samples of unspecified ploidy (https://github.com/OmarOakheart/nPhase). nPhase is validated by tests on simulated and real polyploids. nPhase obtains on average over 95% accuracy and a contiguous 1.25 haplotigs per haplotype to cover more than 90% of each chromosome (heterozygosity rate ≥ 0.5%). nPhase allows population genomics and hybrid studies of polyploids.
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Affiliation(s)
- Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR, 7156, Strasbourg, France
| | - Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR, 7156, Strasbourg, France
| | - Chris Eberlein
- Université de Strasbourg, CNRS, GMGM UMR, 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR, 7156, Strasbourg, France.
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR, 7156, Strasbourg, France. .,Institut Universitaire de France (IUF), Paris, France.
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29
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Abstract
To explore the origin of the diversity observed in natural populations, many studies have investigated the relationship between genotype and phenotype. In yeast species, especially in Saccharomyces cerevisiae, these studies are mainly conducted using recombinant offspring derived from two genetically diverse isolates, allowing to define the phenotypic effect of genetic variants. However, large genomic variants such as interspecies introgressions are usually overlooked even if they are known to modify the genotype–phenotype relationship. To have a better insight into the overall phenotypic impact of introgressions, we took advantage of the presence of a 1-Mb introgressed region, which lacks recombination and contains the mating-type determinant in the Lachancea kluyveri budding yeast. By performing linkage mapping analyses in this species, we identified a total of 89 loci affecting growth fitness in a large number of conditions and 2,187 loci affecting gene expression mostly grouped into two major hotspots, one being the introgressed region carrying the mating-type locus. Because of the absence of recombination, our results highlight the presence of a sexual dimorphism in a budding yeast for the first time. Overall, by describing the phenotype–genotype relationship in the Lachancea kluyveri species, we expanded our knowledge on how genetic characteristics of large introgression events can affect the phenotypic landscape.
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Affiliation(s)
- Christian Brion
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Claudia Caradec
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - David Pflieger
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF), Paris, France
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30
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Stoneman HR, Wrobel RL, Place M, Graham M, Krause DJ, De Chiara M, Liti G, Schacherer J, Landick R, Gasch AP, Sato TK, Hittinger CT. CRISpy-Pop: A Web Tool for Designing CRISPR/Cas9-Driven Genetic Modifications in Diverse Populations. G3 (Bethesda) 2020; 10:4287-4294. [PMID: 32963084 PMCID: PMC7642938 DOI: 10.1534/g3.120.401498] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/21/2020] [Indexed: 02/08/2023]
Abstract
CRISPR/Cas9 is a powerful tool for editing genomes, but design decisions are generally made with respect to a single reference genome. With population genomic data becoming available for an increasing number of model organisms, researchers are interested in manipulating multiple strains and lines. CRISpy-pop is a web application that generates and filters guide RNA sequences for CRISPR/Cas9 genome editing for diverse yeast and bacterial strains. The current implementation designs and predicts the activity of guide RNAs against more than 1000 Saccharomyces cerevisiae genomes, including 167 strains frequently used in bioenergy research. Zymomonas mobilis, an increasingly popular bacterial bioenergy research model, is also supported. CRISpy-pop is available as a web application (https://CRISpy-pop.glbrc.org/) with an intuitive graphical user interface. CRISpy-pop also cross-references the human genome to allow users to avoid the selection of guide RNAs with potential biosafety concerns. Additionally, CRISpy-pop predicts the strain coverage of each guide RNA within the supported strain sets, which aids in functional population genetic studies. Finally, we validate how CRISpy-pop can accurately predict the activity of guide RNAs across strains using population genomic data.
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Affiliation(s)
- Hayley R Stoneman
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726
- Wisconsin Energy Institute, University of Wisconsin-Madison, WI 53726
- J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, WI 53726
| | - Russell L Wrobel
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726
- Wisconsin Energy Institute, University of Wisconsin-Madison, WI 53726
- J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, WI 53726
| | - Michael Place
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726
| | - Michael Graham
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Wisconsin Energy Institute, University of Wisconsin-Madison, WI 53726
| | - David J Krause
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726
- Wisconsin Energy Institute, University of Wisconsin-Madison, WI 53726
- J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, WI 53726
| | | | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | | | - Robert Landick
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Department of Biochemistry, University of Wisconsin-Madison, WI 53706
- Department of Bacteriology, University of Wisconsin-Madison, WI 53706
| | - Audrey P Gasch
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726
- J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, WI 53726
| | - Trey K Sato
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Wisconsin Energy Institute, University of Wisconsin-Madison, WI 53726
- J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, WI 53726
| | - Chris Todd Hittinger
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726
- Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726
- Wisconsin Energy Institute, University of Wisconsin-Madison, WI 53726
- J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, WI 53726
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31
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Fournier T, Abou Saada O, Hou J, Peter J, Caudal E, Schacherer J. Extensive impact of low-frequency variants on the phenotypic landscape at population-scale. eLife 2019; 8:49258. [PMID: 31647416 PMCID: PMC6892612 DOI: 10.7554/elife.49258] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 10/23/2019] [Indexed: 12/14/2022] Open
Abstract
Genome-wide association studies (GWAS) allow to dissect complex traits and map genetic variants, which often explain relatively little of the heritability. One potential reason is the preponderance of undetected low-frequency variants. To increase their allele frequency and assess their phenotypic impact in a population, we generated a diallel panel of 3025 yeast hybrids, derived from pairwise crosses between natural isolates and examined a large number of traits. Parental versus hybrid regression analysis showed that while most phenotypic variance is explained by additivity, a third is governed by non-additive effects, with complete dominance having a key role. By performing GWAS on the diallel panel, we found that associated variants with low frequency in the initial population are overrepresented and explain a fraction of the phenotypic variance as well as an effect size similar to common variants. Overall, we highlighted the relevance of low-frequency variants on the phenotypic variation.
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Affiliation(s)
- Téo Fournier
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jackson Peter
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Elodie Caudal
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
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32
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Defenouillère Q, Verraes A, Laussel C, Friedrich A, Schacherer J, Léon S. The induction of HAD-like phosphatases by multiple signaling pathways confers resistance to the metabolic inhibitor 2-deoxyglucose. Sci Signal 2019; 12:12/597/eaaw8000. [PMID: 31481524 DOI: 10.1126/scisignal.aaw8000] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Anti-cancer strategies that target the glycolytic metabolism of tumors have been proposed. The glucose analog 2-deoxyglucose (2DG) is imported into cells and, after phosphorylation, becomes 2DG-6-phosphate, a toxic by-product that inhibits glycolysis. Using yeast as a model, we performed an unbiased mass spectrometry-based approach to probe the cellular effects of 2DG on the proteome and study resistance mechanisms to 2DG. We found that two phosphatases that target 2DG-6-phosphate were induced upon exposure to 2DG and participated in 2DG detoxification. Dog1 and Dog2 are HAD (haloacid dehalogenase)-like phosphatases, which are evolutionarily conserved. 2DG induced Dog2 by activating several signaling pathways, such as the stress response pathway mediated by the p38 MAPK ortholog Hog1, the unfolded protein response (UPR) triggered by 2DG-induced ER stress, and the cell wall integrity (CWI) pathway mediated by the MAPK Slt2. Loss of the UPR or CWI pathways led to 2DG hypersensitivity. In contrast, mutants impaired in the glucose-mediated repression of genes were 2DG resistant because glucose availability transcriptionally repressed DOG2 by inhibiting signaling mediated by the AMPK ortholog Snf1. The characterization and genome resequencing of spontaneous 2DG-resistant mutants revealed that DOG2 overexpression was a common strategy underlying 2DG resistance. The human Dog2 homolog HDHD1 displayed phosphatase activity toward 2DG-6-phosphate in vitro and its overexpression conferred 2DG resistance in HeLa cells, suggesting that this 2DG phosphatase could interfere with 2DG-based chemotherapies. These results show that HAD-like phosphatases are evolutionarily conserved regulators of 2DG resistance.
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Affiliation(s)
- Quentin Defenouillère
- Institut Jacques Monod, UMR 7592 Centre National de la Recherche Scientifique/Université Paris-Diderot, Sorbonne Paris Cité, 75205, Paris Cedex 13, France
| | - Agathe Verraes
- Institut Jacques Monod, UMR 7592 Centre National de la Recherche Scientifique/Université Paris-Diderot, Sorbonne Paris Cité, 75205, Paris Cedex 13, France
| | - Clotilde Laussel
- Institut Jacques Monod, UMR 7592 Centre National de la Recherche Scientifique/Université Paris-Diderot, Sorbonne Paris Cité, 75205, Paris Cedex 13, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, 67000 Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, 67000 Strasbourg, France
| | - Sébastien Léon
- Institut Jacques Monod, UMR 7592 Centre National de la Recherche Scientifique/Université Paris-Diderot, Sorbonne Paris Cité, 75205, Paris Cedex 13, France.
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33
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Fleiss A, O'Donnell S, Fournier T, Lu W, Agier N, Delmas S, Schacherer J, Fischer G. Reshuffling yeast chromosomes with CRISPR/Cas9. PLoS Genet 2019; 15:e1008332. [PMID: 31465441 PMCID: PMC6738639 DOI: 10.1371/journal.pgen.1008332] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 09/11/2019] [Accepted: 07/26/2019] [Indexed: 12/12/2022] Open
Abstract
Genome engineering is a powerful approach to study how chromosomal architecture impacts phenotypes. However, quantifying the fitness impact of translocations independently from the confounding effect of base substitutions has so far remained challenging. We report a novel application of the CRISPR/Cas9 technology allowing to generate with high efficiency both uniquely targeted and multiple concomitant reciprocal translocations in the yeast genome. Targeted translocations are constructed by inducing two double-strand breaks on different chromosomes and forcing the trans-chromosomal repair through homologous recombination by chimerical donor DNAs. Multiple translocations are generated from the induction of several DSBs in LTR repeated sequences and promoting repair using endogenous uncut LTR copies as template. All engineered translocations are markerless and scarless. Targeted translocations are produced at base pair resolution and can be sequentially generated one after the other. Multiple translocations result in a large diversity of karyotypes and are associated in many instances with the formation of unanticipated segmental duplications. To test the phenotypic impact of translocations, we first recapitulated in a lab strain the SSU1/ECM34 translocation providing increased sulphite resistance to wine isolates. Surprisingly, the same translocation in a laboratory strain resulted in decreased sulphite resistance. However, adding the repeated sequences that are present in the SSU1 promoter of the resistant wine strain induced sulphite resistance in the lab strain, yet to a lower level than that of the wine isolate, implying that additional polymorphisms also contribute to the phenotype. These findings illustrate the advantage brought by our technique to untangle the phenotypic impacts of structural variations from confounding effects of base substitutions. Secondly, we showed that strains with multiple translocations, even those devoid of unanticipated segmental duplications, display large phenotypic diversity in a wide range of environmental conditions, showing that simply reconfiguring chromosome architecture is sufficient to provide fitness advantages in stressful growth conditions. Chromosomes are highly dynamic objects that often undergo large structural variations such as reciprocal translocations. Such rearrangements can have dramatic functional consequences, as they can disrupt genes, change their regulation or create novel fusion genes at their breakpoints. For instance, 90–95% of patients diagnosed with chronic myeloid leukemia carry the Philadelphia chromosome characterized by a reciprocal translocation between chromosomes 9 and 22. In addition, translocations reorganize the genetic information along chromosomes, which in turn can modify the 3D architecture of the genome and potentially affect its functioning. Quantifying the fitness impact of translocations independently from the confounding effect of base substitutions has so far remained challenging. Here, we report a novel CRISPR/Cas9-based technology allowing to generate with high efficiency and at a base-pair precision either uniquely targeted or multiple reciprocal translocations in yeast, without leaving any marker or scar in the genome. Engineering targeted reciprocal translocations allowed us for the first time to untangle the phenotypic impacts of large chromosomal rearrangements from that of point mutations. In addition, the generation of multiple translocations led to a large reorganization of the genetic information along the chromosomes, often including unanticipated large segmental duplications. We showed that reshuffling the genome resulted in the emergence of fitness advantage in stressful environmental conditions, even in strains where no gene was disrupted or amplified by the translocations.
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Affiliation(s)
- Aubin Fleiss
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Samuel O'Donnell
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Téo Fournier
- Université de Strasbourg, CNRS, GMGM UMR7156, Strasbourg, France
| | - Wenqing Lu
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Nicolas Agier
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Stéphane Delmas
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | | | - Gilles Fischer
- Sorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
- * E-mail:
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34
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Ishchuk OP, Ahmad KM, Koruza K, Bojanovič K, Sprenger M, Kasper L, Brunke S, Hube B, Säll T, Hellmark T, Gullstrand B, Brion C, Freel K, Schacherer J, Regenberg B, Knecht W, Piškur J. RNAi as a Tool to Study Virulence in the Pathogenic Yeast Candida glabrata. Front Microbiol 2019; 10:1679. [PMID: 31396189 PMCID: PMC6667738 DOI: 10.3389/fmicb.2019.01679] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 07/08/2019] [Indexed: 11/30/2022] Open
Abstract
The yeast Candida glabrata is a major opportunistic pathogen causing mucosal and systemic infections in humans. Systemic infections caused by this yeast have high mortality rates and are difficult to treat due to this yeast’s intrinsic and frequently adapting antifungal resistance. To understand and treat C. glabrata infections, it is essential to investigate the molecular basis of C. glabrata virulence and resistance. We established an RNA interference (RNAi) system in C. glabrata by expressing the Dicer and Argonaute genes from Saccharomyces castellii (a budding yeast with natural RNAi). Our experiments with reporter genes and putative virulence genes showed that the introduction of RNAi resulted in 30 and 70% gene-knockdown for the construct-types antisense and hairpin, respectively. The resulting C. glabrata RNAi strain was used for the screening of a gene library for new virulence-related genes. Phenotypic profiling with a high-resolution quantification of growth identified genes involved in the maintenance of cell integrity, antifungal drugs, and ROS resistance. The genes identified by this approach are promising targets for the treatment of C. glabrata infections.
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Affiliation(s)
- Olena P Ishchuk
- Department of Biology, Lund University, Lund, Sweden.,Department of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden
| | | | | | | | - Marcel Sprenger
- Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, Jena, Germany
| | - Lydia Kasper
- Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, Jena, Germany
| | - Sascha Brunke
- Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, Jena, Germany
| | - Bernhard Hube
- Department of Microbial Pathogenicity Mechanisms, Hans Knöll Institute, Jena, Germany.,Institute of Microbiology, Friedrich Schiller University, Jena, Germany
| | - Torbjörn Säll
- Department of Biology, Lund University, Lund, Sweden
| | | | | | - Christian Brion
- Department of Molecular Genetics, Genomics and Microbiology, Strasbourg University, Strasbourg, France
| | - Kelle Freel
- Department of Molecular Genetics, Genomics and Microbiology, Strasbourg University, Strasbourg, France
| | - Joseph Schacherer
- Department of Molecular Genetics, Genomics and Microbiology, Strasbourg University, Strasbourg, France
| | - Birgitte Regenberg
- Department of Biology, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Wolfgang Knecht
- Department of Biology, Lund University, Lund, Sweden.,Lund Protein Production Platform, Lund University, Lund, Sweden
| | - Jure Piškur
- Department of Biology, Lund University, Lund, Sweden
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35
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Peltier E, Friedrich A, Schacherer J, Marullo P. Quantitative Trait Nucleotides Impacting the Technological Performances of Industrial Saccharomyces cerevisiae Strains. Front Genet 2019; 10:683. [PMID: 31396264 PMCID: PMC6664092 DOI: 10.3389/fgene.2019.00683] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/01/2019] [Indexed: 11/13/2022] Open
Abstract
The budding yeast Saccharomyces cerevisiae is certainly the prime industrial microorganism and is related to many biotechnological applications including food fermentations, biofuel production, green chemistry, and drug production. A noteworthy characteristic of this species is the existence of subgroups well adapted to specific processes with some individuals showing optimal technological traits. In the last 20 years, many studies have established a link between quantitative traits and single-nucleotide polymorphisms found in hundreds of genes. These natural variations constitute a pool of QTNs (quantitative trait nucleotides) that modulate yeast traits of economic interest for industry. By selecting a subset of genes functionally validated, a total of 284 QTNs were inventoried. Their distribution across pan and core genome and their frequency within the 1,011 Saccharomyces cerevisiae genomes were analyzed. We found that 150 of the 284 QTNs have a frequency lower than 5%, meaning that these variants would be undetectable by genome-wide association studies (GWAS). This analysis also suggests that most of the functional variants are private to a subpopulation, possibly due to their adaptive role to specific industrial environment. In this review, we provide a literature survey of their phenotypic impact and discuss the opportunities and the limits of their use for industrial strain selection.
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Affiliation(s)
- Emilien Peltier
- Department Sciences du vivant et de la sante, Université de Bordeaux, UR Œnologie EA 4577, Bordeaux, France
- Biolaffort, Bordeaux, France
| | - Anne Friedrich
- Department Micro-organismes, Génomes, Environnement, Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Department Micro-organismes, Génomes, Environnement, Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Philippe Marullo
- Department Sciences du vivant et de la sante, Université de Bordeaux, UR Œnologie EA 4577, Bordeaux, France
- Biolaffort, Bordeaux, France
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36
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Fairhead C, Fischer G, Liti G, Neuvéglise C, Schacherer J. André Goffeau's imprinting on second generation yeast "genomologists". Yeast 2019; 36:167-175. [PMID: 30645763 DOI: 10.1002/yea.3377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 11/21/2018] [Accepted: 01/07/2019] [Indexed: 12/31/2022] Open
Abstract
All authors of the present paper have worked in labs that participated to the sequencing effort of the Saccharomyces cerevisiae reference genome, and we owe to this the fact that we have all chosen to work on genomics of yeasts. S. cerevisiae has been a popular model species for genetics since the 20th century as well as being a model for general eukaryotic cellular processes. Although it has also been used empirically in fermentation for millennia, there was until recently, a lack of knowledge about the natural and evolutionary history of this yeast. The achievement of the international effort to sequence its genome was the foundation for understanding many eukaryotic biological processes but also represented the first step towards the study of the genome and ecological diversity of yeast populations worldwide. We will describe recent advances in yeast comparative and population genomics that find their origins in the S. cerevisiae genome project initiated and pursued by André Goffeau.
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Affiliation(s)
- Cécile Fairhead
- UMR Génétique Quantitative et Evolution - Le Moulon, INRA - Université Paris-Sud - CNRS - AgroParisTech, Orsay, France
| | - Gilles Fischer
- Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Sorbonne Université, CNRS, Paris, France
| | - Gianni Liti
- INSERM, IRCAN, Université Côte d'Azur, CNRS, Nice, France
| | - Cécile Neuvéglise
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Joseph Schacherer
- UMR 7156 Génétique Moléculaire, Génomique, Microbiologie, Université de Strasbourg, CNRS, Strasbourg, France
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37
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Raghavan V, Bui DT, Al-Sweel N, Friedrich A, Schacherer J, Aquadro CF, Alani E. Incompatibilities in Mismatch Repair Genes MLH1-PMS1 Contribute to a Wide Range of Mutation Rates in Human Isolates of Baker's Yeast. Genetics 2018; 210:1253-1266. [PMID: 30348651 PMCID: PMC6283166 DOI: 10.1534/genetics.118.301550] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 10/18/2018] [Indexed: 11/18/2022] Open
Abstract
Laboratory baker's yeast strains bearing an incompatible combination of MLH1 and PMS1 mismatch repair alleles are mutators that can adapt more rapidly to stress, but do so at the cost of long-term fitness. We identified 18 baker's yeast isolates from 1011 surveyed that contain the incompatible MLH1-PMS1 genotype in a heterozygous state. Surprisingly, the incompatible combination from two human clinical heterozygous diploid isolates, YJS5845 and YJS5885, contain the exact MLH1 (S288c-derived) and PMS1 (SK1-derived) open reading frames originally shown to confer incompatibility. While these isolates were nonmutators, their meiotic spore clone progeny displayed mutation rates in a DNA slippage assay that varied over a 340-fold range. This range was 30-fold higher than observed between compatible and incompatible combinations of laboratory strains. Genotyping analysis indicated that MLH1-PMS1 incompatibility was the major driver of mutation rate in the isolates. The variation in the mutation rate of incompatible spore clones could be due to background suppressors and enhancers, as well as aneuploidy seen in the spore clones. Our data are consistent with the observed variance in mutation rate contributing to adaptation to stress conditions (e.g., in a human host) through the acquisition of beneficial mutations, with high mutation rates leading to long-term fitness costs that are buffered by mating or eliminated through natural selection.
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Affiliation(s)
- Vandana Raghavan
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Duyen T Bui
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Najla Al-Sweel
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Anne Friedrich
- Université de Strasbourg, Centre National de la Recherche Scientifique, Laboratory of Molecular Genetics, Genomics and Microbiology (GMGM) UMR 7156, F-67000, France
| | - Joseph Schacherer
- Université de Strasbourg, Centre National de la Recherche Scientifique, Laboratory of Molecular Genetics, Genomics and Microbiology (GMGM) UMR 7156, F-67000, France
| | - Charles F Aquadro
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Eric Alani
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
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38
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Zhou N, Bottagisi S, Katz M, Schacherer J, Friedrich A, Gojkovic Z, Swamy KBS, Knecht W, Compagno C, Piškur J. Yeast-bacteria competition induced new metabolic traits through large-scale genomic rearrangements in Lachancea kluyveri. FEMS Yeast Res 2018; 17:4064365. [PMID: 28910985 DOI: 10.1093/femsyr/fox060] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 08/03/2017] [Indexed: 12/28/2022] Open
Abstract
Large-scale chromosomal rearrangements are an important source of evolutionary novelty that may have reshaped the genomes of existing yeast species. They dramatically alter genome organization and gene expression fueling a phenotypic leap in response to environmental constraints. Although the emergence of such signatures of genetic diversity is thought to be associated with human exploitation of yeasts, less is known about the driving forces operating in natural habitats. Here we hypothesize that an ecological battlefield characteristic of every autumn when fruits ripen accounts for the genomic innovations in natural populations. We described a long-term cross-kingdom competition experiment between Lachancea kluyveri and five species of bacteria. Now, we report how we further subjected the same yeast to a sixth species of bacteria, Pseudomonas fluorescens, resulting in the appearance of a fixed and stably inherited large-scale genomic rearrangement in two out of three parallel evolution lines. The 'extra-banded' karyotype, characterized by a higher fitness and an elevated fermentative capacity, conferred the emergence of new metabolic traits in most carbon sources and osmolytes. We tracked down the event to a duplication and translocation event involving a 261-kb segment. Such an experimental setup described here is an attractive method for developing industrial strains without genetic engineering strategies.
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Affiliation(s)
- Nerve Zhou
- Department of Biology, Lund University, Sölvegatan 35, 22362 Lund, Sweden.,Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, P Bag 16, 00267 Palapye, Botswana
| | - Samuele Bottagisi
- Department of Biology, Lund University, Sölvegatan 35, 22362 Lund, Sweden.,Department of Biology and Biotechnology, University of Pavia, 27100 Pavia, Italy
| | - Michael Katz
- Carlsberg Laboratories, Gamle Carlsberg Vej 10, 1799 Copenhagen V, Denmark
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS UMR7156, 67083 Strasbourg, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS UMR7156, 67083 Strasbourg, France
| | - Zoran Gojkovic
- Carlsberg Laboratories, Gamle Carlsberg Vej 10, 1799 Copenhagen V, Denmark
| | - Krishna B S Swamy
- Institute of Molecular Biology, Academia Sinica, Taipei 11529, Taiwan
| | - Wolfgang Knecht
- Department of Biology, Lund University, Sölvegatan 35, 22362 Lund, Sweden.,Lund Protein Production Platform, Lund University, Sölvegatan 35, 22362 Lund, Sweden
| | - Concetta Compagno
- Department of Food, Environmental and Nutritional Sciences, University of Milan, Via Giovanni Celoria 2, 20133 Milan, Italy
| | - Jure Piškur
- Department of Biology, Lund University, Sölvegatan 35, 22362 Lund, Sweden
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39
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Peter J, De Chiara M, Friedrich A, Yue JX, Pflieger D, Bergström A, Sigwalt A, Barre B, Freel K, Llored A, Cruaud C, Labadie K, Aury JM, Istace B, Lebrigand K, Barbry P, Engelen S, Lemainque A, Wincker P, Liti G, Schacherer J. Genome evolution across 1,011 Saccharomyces cerevisiae isolates. Nature 2018; 556:339-344. [PMID: 29643504 PMCID: PMC6784862 DOI: 10.1038/s41586-018-0030-5] [Citation(s) in RCA: 571] [Impact Index Per Article: 95.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 01/09/2018] [Indexed: 12/15/2022]
Abstract
Large-scale population genomic surveys are essential to explore the phenotypic diversity of natural populations. Here we report the whole-genome sequencing and phenotyping of 1,011 Saccharomyces cerevisiae isolates, which together provide an accurate evolutionary picture of the genomic variants that shape the species-wide phenotypic landscape of this yeast. Genomic analyses support a single 'out-of-China' origin for this species, followed by several independent domestication events. Although domesticated isolates exhibit high variation in ploidy, aneuploidy and genome content, genome evolution in wild isolates is mainly driven by the accumulation of single nucleotide polymorphisms. A common feature is the extensive loss of heterozygosity, which represents an essential source of inter-individual variation in this mainly asexual species. Most of the single nucleotide polymorphisms, including experimentally identified functional polymorphisms, are present at very low frequencies. The largest numbers of variants identified by genome-wide association are copy-number changes, which have a greater phenotypic effect than do single nucleotide polymorphisms. This resource will guide future population genomics and genotype-phenotype studies in this classic model system.
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Affiliation(s)
- Jackson Peter
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | | | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jia-Xing Yue
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - David Pflieger
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | | | | | - Benjamin Barre
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Kelle Freel
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Agnès Llored
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
| | - Corinne Cruaud
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France
| | - Karine Labadie
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France
| | - Benjamin Istace
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France
| | - Kevin Lebrigand
- Université Côte d'Azur, CNRS, IPMC, Sophia Antipolis, Valbonne, France
| | - Pascal Barbry
- Université Côte d'Azur, CNRS, IPMC, Sophia Antipolis, Valbonne, France
| | - Stefan Engelen
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France
| | - Arnaud Lemainque
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France
| | - Patrick Wincker
- Commissariat à l'Energie Atomique (CEA), Genoscope, Institut de Biologie François-Jacob, Evry, France.,CNRS UMR 8030, Université d'Evry Val d'Essonne, Evry, France
| | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France.
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40
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Fournier T, Schacherer J. Genetic backgrounds and hidden trait complexity in natural populations. Curr Opin Genet Dev 2017; 47:48-53. [PMID: 28915487 PMCID: PMC5716861 DOI: 10.1016/j.gde.2017.08.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 08/09/2017] [Accepted: 08/31/2017] [Indexed: 11/29/2022]
Abstract
Dissecting the genetic basis of natural phenotypic variation is a major goal in biology. We know that most traits are strongly heritable. However, their genetic architecture is a long-standing question, which is unfortunately confounded by the lack of complete knowledge of the genetic components as well as their phenotypic effect in a specific genetic background. Many genetic variants are known to affect phenotypes but the same functional variant can have a different effect on the phenotype in different individuals of the same species. Understanding the impact of genetic background on the expressivity of a given phenotype is essential because this effect complicates our ability to predict phenotype from genotype. Here, we briefly review recent progress on the exploration of the effect of genetic background and we discuss how a deeper characterization of the inheritance, expressivity and genetic interactions hidden behind the phenotypic landscape of natural variation could provide a better understanding of the relationship between genotype and phenotype.
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Affiliation(s)
- Téo Fournier
- Université de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France.
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41
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Smukowski Heil C, Burton JN, Liachko I, Friedrich A, Hanson NA, Morris CL, Schacherer J, Shendure J, Thomas JH, Dunham MJ. Identification of a novel interspecific hybrid yeast from a metagenomic spontaneously inoculated beer sample using Hi-C. Yeast 2017; 35:71-84. [PMID: 28892574 DOI: 10.1002/yea.3280] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 08/30/2017] [Accepted: 09/02/2017] [Indexed: 12/11/2022] Open
Abstract
Interspecific hybridization is a common mechanism enabling genetic diversification and adaptation; however, the detection of hybrid species has been quite difficult. The identification of microbial hybrids is made even more complicated, as most environmental microbes are resistant to culturing and must be studied in their native mixed communities. We have previously adapted the chromosome conformation capture method Hi-C to the assembly of genomes from mixed populations. Here, we show the method's application in assembling genomes directly from an uncultured, mixed population from a spontaneously inoculated beer sample. Our assembly method has enabled us to de-convolute four bacterial and four yeast genomes from this sample, including a putative yeast hybrid. Downstream isolation and analysis of this hybrid confirmed its genome to consist of Pichia membranifaciens and that of another related, but undescribed, yeast. Our work shows that Hi-C-based metagenomic methods can overcome the limitation of traditional sequencing methods in studying complex mixtures of genomes. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
| | - Joshua N Burton
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Ivan Liachko
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Anne Friedrich
- Genetics, Genomics, and Microbiology, University of Strasbourg, Strasbourg, France
| | - Noah A Hanson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Joseph Schacherer
- Genetics, Genomics, and Microbiology, University of Strasbourg, Strasbourg, France
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - James H Thomas
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Maitreya J Dunham
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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42
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Brion C, Legrand S, Peter J, Caradec C, Pflieger D, Hou J, Friedrich A, Llorente B, Schacherer J. Variation of the meiotic recombination landscape and properties over a broad evolutionary distance in yeasts. PLoS Genet 2017; 13:e1006917. [PMID: 28763437 PMCID: PMC5554000 DOI: 10.1371/journal.pgen.1006917] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 08/11/2017] [Accepted: 07/10/2017] [Indexed: 11/19/2022] Open
Abstract
Meiotic recombination is a major factor of genome evolution, deeply characterized in only a few model species, notably the yeast Saccharomyces cerevisiae. Consequently, little is known about variations of its properties across species. In this respect, we explored the recombination landscape of Lachancea kluyveri, a protoploid yeast species that diverged from the Saccharomyces genus more than 100 million years ago and we found striking differences with S. cerevisiae. These variations include a lower recombination rate, a higher frequency of chromosomes segregating without any crossover and the absence of recombination on the chromosome arm containing the sex locus. In addition, although well conserved within the Saccharomyces clade, the S. cerevisiae recombination hotspots are not conserved over a broader evolutionary distance. Finally and strikingly, we found evidence of frequent reversal of commitment to meiosis, resulting in return to mitotic growth after allele shuffling. Identification of this major but underestimated evolutionary phenomenon illustrates the relevance of exploring non-model species. Meiotic recombination promotes accurate chromosome segregation and genetic diversity. To date, the mechanisms and rules lying behind recombination were dissected using model organisms such as the budding yeast Saccharomyces cerevisiae. To assess the conservation and variation of this process over a broad evolutionary distance, we explored the meiotic recombination landscape in Lachancea kluyveri, a budding yeast species that diverged from S. cerevisiae more than 100 million years ago. The meiotic recombination map we generated revealed that the meiotic recombination landscape and properties significantly vary across distantly related yeast species, raising the yet to confirm possibility that recombination hotspots conservation across yeast species depends on synteny conservation. Finally, the frequent meiotic reversions we observed led us to re-evaluate their evolutionary importance.
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Affiliation(s)
- Christian Brion
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Sylvain Legrand
- CNRS UMR7258, INSERM U1068, Aix Marseille Université UM105, Institut Paoli-Calmettes, CRCM, Marseille, France
| | - Jackson Peter
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Claudia Caradec
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - David Pflieger
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Bertrand Llorente
- CNRS UMR7258, INSERM U1068, Aix Marseille Université UM105, Institut Paoli-Calmettes, CRCM, Marseille, France
- * E-mail: (JS); (BL)
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
- * E-mail: (JS); (BL)
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43
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Istace B, Friedrich A, d'Agata L, Faye S, Payen E, Beluche O, Caradec C, Davidas S, Cruaud C, Liti G, Lemainque A, Engelen S, Wincker P, Schacherer J, Aury JM. de novo assembly and population genomic survey of natural yeast isolates with the Oxford Nanopore MinION sequencer. Gigascience 2017; 6:1-13. [PMID: 28369459 PMCID: PMC5466710 DOI: 10.1093/gigascience/giw018] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 12/27/2016] [Indexed: 02/07/2023] Open
Abstract
Background: Oxford Nanopore Technologies Ltd (Oxford, UK) have recently commercialized MinION, a small single-molecule nanopore sequencer, that offers the possibility of sequencing long DNA fragments from small genomes in a matter of seconds. The Oxford Nanopore technology is truly disruptive; it has the potential to revolutionize genomic applications due to its portability, low cost, and ease of use compared with existing long reads sequencing technologies. The MinION sequencer enables the rapid sequencing of small eukaryotic genomes, such as the yeast genome. Combined with existing assembler algorithms, near complete genome assemblies can be generated and comprehensive population genomic analyses can be performed. Results: Here, we resequenced the genome of the Saccharomyces cerevisiae S288C strain to evaluate the performance of nanopore-only assemblers. Then we de novo sequenced and assembled the genomes of 21 isolates representative of the S. cerevisiae genetic diversity using the MinION platform. The contiguity of our assemblies was 14 times higher than the Illumina-only assemblies and we obtained one or two long contigs for 65 % of the chromosomes. This high contiguity allowed us to accurately detect large structural variations across the 21 studied genomes. Conclusion: Because of the high completeness of the nanopore assemblies, we were able to produce a complete cartography of transposable elements insertions and inspect structural variants that are generally missed using a short-read sequencing strategy. Our analyses show that the Oxford Nanopore technology is already usable for de novo sequencing and assembly; however, non-random errors in homopolymers require polishing the consensus using an alternate sequencing technology.
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Affiliation(s)
- Benjamin Istace
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France
| | - Léo d'Agata
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Sébastien Faye
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Emilie Payen
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Odette Beluche
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Claudia Caradec
- Université de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France
| | - Sabrina Davidas
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Corinne Cruaud
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Gianni Liti
- Institute of Research on Cancer and Ageing of Nice (IRCAN), CNRS UMR 7284-INSERM U1081, Faculté de Médecine, Université de Nice Sophia Antipolis, Nice, France
| | - Arnaud Lemainque
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Stefan Engelen
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
| | - Patrick Wincker
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France.,Université d'Evry Val d'Essonne, UMR 8030, CP5706, 91057 Evry, France.,Centre National de Recherche Scientifique (CNRS), UMR 8030, CP5706, 91057 Evry, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, F-67000 Strasbourg, France
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Génomique (IG), Genoscope, BP5706, 91057 Evry, France
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Bui DT, Friedrich A, Al-Sweel N, Liti G, Schacherer J, Aquadro CF, Alani E. Mismatch Repair Incompatibilities in Diverse Yeast Populations. Genetics 2017; 205:1459-1471. [PMID: 28193730 PMCID: PMC5378106 DOI: 10.1534/genetics.116.199513] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 02/10/2017] [Indexed: 11/18/2022] Open
Abstract
An elevated mutation rate can provide cells with a source of mutations to adapt to changing environments. We identified a negative epistatic interaction involving naturally occurring variants in the MLH1 and PMS1 mismatch repair (MMR) genes of Saccharomyces cerevisiae We hypothesized that this MMR incompatibility, created through mating between divergent S. cerevisiae, yields mutator progeny that can rapidly but transiently adapt to an environmental stress. Here we analyzed the MLH1 and PMS1 genes across 1010 S. cerevisiae natural isolates spanning a wide range of ecological sources (tree exudates, Drosophila, fruits, and various fermentation and clinical isolates) and geographical sources (Europe, America, Africa, and Asia). We identified one homozygous clinical isolate and 18 heterozygous isolates containing the incompatible MMR genotype. The MLH1-PMS1 gene combination isolated from the homozygous clinical isolate conferred a mutator phenotype when expressed in the S288c laboratory background. Using a novel reporter to measure mutation rates, we showed that the overall mutation rate in the homozygous incompatible background was similar to that seen in compatible strains, indicating the presence of suppressor mutations in the clinical isolate that lowered its mutation rate. This observation and the identification of 18 heterozygous isolates, which can lead to MMR incompatible genotypes in the offspring, are consistent with an elevated mutation rate rapidly but transiently facilitating adaptation. To avoid long-term fitness costs, the incompatibility is apparently buffered by mating or by acquiring suppressors. These observations highlight effective strategies in eukaryotes to avoid long-term fitness costs associated with elevated mutation rates.
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Affiliation(s)
- Duyen T Bui
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Anne Friedrich
- Université de Strasbourg, Centre National de la Recherche Scientifique, Génétique Moléculaire, Génomique, Microbiologie, Unité Mixte de Recherche, 7156, F-67000 Strasbourg, France
| | - Najla Al-Sweel
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Gianni Liti
- Institute for Research on Cancer and Ageing of Nice, 06107 Nice, France
| | - Joseph Schacherer
- Université de Strasbourg, Centre National de la Recherche Scientifique, Génétique Moléculaire, Génomique, Microbiologie, Unité Mixte de Recherche, 7156, F-67000 Strasbourg, France
| | - Charles F Aquadro
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
| | - Eric Alani
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853-2703
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Abstract
Genetic variation among individuals within a population provides the raw material for phenotypic diversity upon which natural selection operates. Some given variants can act on multiple standing genomic variations simultaneously and release previously inaccessible phenotypes, leading to increased adaptive potential upon challenging environments. Previously, we identified such a variant related to a tRNA nonsense suppressor in yeast. When introduced into other genetic backgrounds, the suppressor led to an increased population phenotypic variance on various culture conditions, conferring background and environment specific selective advantages. Nonetheless, most isolates are intolerant to the suppressor on rich media due to a severe fitness cost. Here, we found that the tolerance to suppressor is related to a surprising level of fitness outburst, showing a trade-off effect to accommodate the cost of carrying the suppressor. To dissect the genetic basis of such trade-offs, we crossed strains with contrasting tolerance levels on rich media, and analyzed the fitness distribution patterns in the offspring. Combining quantitative tetrad analysis and bulk segregant analysis, we identified two genes, namely MKT1 and RGA1, involved in suppressor tolerance. We showed that alleles from the tolerant parent for both genes conferred a significant gain of fitness, which increased the suppressor tolerance. Our results present a detailed dissection of suppressor tolerance in yeast and provide insights into the molecular basis of trade-offs between fitness and evolutionary potential.
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Affiliation(s)
- Jing Hou
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, Strasbourg, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, Strasbourg, France
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46
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Sigwalt A, Caradec C, Brion C, Hou J, de Montigny J, Jung P, Fischer G, Llorente B, Friedrich A, Schacherer J. Dissection of quantitative traits by bulk segregant mapping in a protoploid yeast species. FEMS Yeast Res 2016; 16:fow056. [PMID: 27371856 DOI: 10.1093/femsyr/fow056] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2016] [Indexed: 11/13/2022] Open
Abstract
Since more than a decade ago, Saccharomyces cerevisiae has been used as a model to dissect complex traits, revealing the genetic basis of a large number of traits in fine detail. However, to have a more global view of the genetic architecture of traits across species, the examination of the molecular basis of phenotypes within non-conventional species would undoubtedly be valuable. In this respect, the Saccharomycotina yeasts represent ideal and potential non-model organisms. Here we sought to assess the feasibility of genetic mapping by bulk segregant analysis in the protoploid Lachancea kluyveri (formerly S. kluyveri) yeast species, a distantly related species to S. cerevisiae For this purpose, we designed a fluorescent mating-type marker, compatible with any mating-competent strains representative of this species, to rapidly create a large population of haploid segregants (>10(5) cells). Quantitative trait loci can be mapped by selecting and sequencing an enriched pool of progeny with extreme phenotypic values. As a test bed, we applied this strategy and mapped the causal loci underlying halotolerance phenotypes in L. kluyveri Overall, this study demonstrates that bulk segregant mapping is a powerful way for investigating the genetic basis of natural variations in non-model yeast organisms and more precisely in L. kluyveri.
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Affiliation(s)
- Anastasie Sigwalt
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Claudia Caradec
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Christian Brion
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Jing Hou
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Jacky de Montigny
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Paul Jung
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Gilles Fischer
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005 Paris, France
| | - Bertrand Llorente
- CRCM, CNRS - UMR7258, Inserm - U1068, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, F-13009 Marseille, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg - CNRS, UMR7156, 67000 Strasbourg, France
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47
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Abstract
Elucidating the underlying rules that govern the phenotypic diversity observed in natural populations is an old but still unaccomplished goal in biology. In 1865, Gregor Mendel paved the way for the dissection of the underlying genetic basis of traits by setting out to understand the principles of heredity. To date, we still lack a global overview of the spectrum and continuum existing between Mendelian and complex traits within any natural population. In this respect, we recently performed a species-wide survey of Mendelian traits across a large population of isolates using the yeast Saccharomyces cerevisiae. By analyzing the distribution and the inheritance patterns of the trait, we have clearly shown that monogenic mutations can display a significant, variable, and continuous expressivity across different genetic backgrounds. Our study also demonstrated that combining the elegancy of both classical genetics and high-throughput genomics is more than valuable to dissect the genotype-phenotype relationship in natural populations.
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Affiliation(s)
- Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, UMR7156, Strasbourg, France.
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48
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Hou J, Fournier T, Schacherer J. Species-wide survey reveals the various flavors of intraspecific reproductive isolation in yeast. FEMS Yeast Res 2016; 16:fow048. [PMID: 27288348 DOI: 10.1093/femsyr/fow048] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2016] [Indexed: 12/13/2022] Open
Abstract
Exploring the origin and extent of reproductive isolation within the same species is valuable to capture early events to the onset of speciation. In multiple genetic models, reproductive isolation was recently observed at the intraspecific scale, indicating that the raw potential for speciation segregates readily within populations, which could be a rule rather than an exception in a broad context. We briefly recapitulate the molecular evidence of intrinsic post-zygotic isolation in major model organisms including Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster and their close relatives. We then focus on recent advances in yeast and review the genetic basis of post-zygotic isolation within and between multiple members of the Saccharomyces genus, especially in Saccharomyces cerevisiae We discuss the role of various mechanisms involved in the onset of reproductive isolation including DNA sequence divergence, chromosomal rearrangement, cytonuclear as well as nuclear-nuclear genetic incompatibilities and provide a comparative view along a continuum of genetic differentiation, which encompasses intraspecific populations, recent delineating nascent species as well as closely related sister species in the same subphylum.
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Affiliation(s)
- Jing Hou
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS UMR 7156, Strasbourg, France
| | - Téo Fournier
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS UMR 7156, Strasbourg, France
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Vakirlis N, Sarilar V, Drillon G, Fleiss A, Agier N, Meyniel JP, Blanpain L, Carbone A, Devillers H, Dubois K, Gillet-Markowska A, Graziani S, Huu-Vang N, Poirel M, Reisser C, Schott J, Schacherer J, Lafontaine I, Llorente B, Neuvéglise C, Fischer G. Reconstruction of ancestral chromosome architecture and gene repertoire reveals principles of genome evolution in a model yeast genus. Genome Res 2016; 26:918-32. [PMID: 27247244 PMCID: PMC4937564 DOI: 10.1101/gr.204420.116] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 04/28/2016] [Indexed: 12/22/2022]
Abstract
Reconstructing genome history is complex but necessary to reveal quantitative principles governing genome evolution. Such reconstruction requires recapitulating into a single evolutionary framework the evolution of genome architecture and gene repertoire. Here, we reconstructed the genome history of the genus Lachancea that appeared to cover a continuous evolutionary range from closely related to more diverged yeast species. Our approach integrated the generation of a high-quality genome data set; the development of AnChro, a new algorithm for reconstructing ancestral genome architecture; and a comprehensive analysis of gene repertoire evolution. We found that the ancestral genome of the genus Lachancea contained eight chromosomes and about 5173 protein-coding genes. Moreover, we characterized 24 horizontal gene transfers and 159 putative gene creation events that punctuated species diversification. We retraced all chromosomal rearrangements, including gene losses, gene duplications, chromosomal inversions and translocations at single gene resolution. Gene duplications outnumbered losses and balanced rearrangements with 1503, 929, and 423 events, respectively. Gene content variations between extant species are mainly driven by differential gene losses, while gene duplications remained globally constant in all lineages. Remarkably, we discovered that balanced chromosomal rearrangements could be responsible for up to 14% of all gene losses by disrupting genes at their breakpoints. Finally, we found that nonsynonymous substitutions reached fixation at a coordinated pace with chromosomal inversions, translocations, and duplications, but not deletions. Overall, we provide a granular view of genome evolution within an entire eukaryotic genus, linking gene content, chromosome rearrangements, and protein divergence into a single evolutionary framework.
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Affiliation(s)
- Nikolaos Vakirlis
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Véronique Sarilar
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Guénola Drillon
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Aubin Fleiss
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Nicolas Agier
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Jean-Philippe Meyniel
- ISoft, Route de l'Orme, Parc "Les Algorithmes" Bâtiment Euclide, 91190 Saint-Aubin, France
| | - Lou Blanpain
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Alessandra Carbone
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Hugo Devillers
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Kenny Dubois
- CRCM, CNRS, UMR7258, Inserm, U1068; Institut Paoli-Calmettes, Aix-Marseille Université, UM 105, F-13009, Marseille, France
| | - Alexandre Gillet-Markowska
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Stéphane Graziani
- ISoft, Route de l'Orme, Parc "Les Algorithmes" Bâtiment Euclide, 91190 Saint-Aubin, France
| | - Nguyen Huu-Vang
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Marion Poirel
- ISoft, Route de l'Orme, Parc "Les Algorithmes" Bâtiment Euclide, 91190 Saint-Aubin, France
| | - Cyrielle Reisser
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR 7156, 67083 Strasbourg, France
| | - Jonathan Schott
- CRCM, CNRS, UMR7258, Inserm, U1068; Institut Paoli-Calmettes, Aix-Marseille Université, UM 105, F-13009, Marseille, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR 7156, 67083 Strasbourg, France
| | - Ingrid Lafontaine
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
| | - Bertrand Llorente
- CRCM, CNRS, UMR7258, Inserm, U1068; Institut Paoli-Calmettes, Aix-Marseille Université, UM 105, F-13009, Marseille, France
| | - Cécile Neuvéglise
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Gilles Fischer
- Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France
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50
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Freel KC, Charron G, Leducq JB, Landry CR, Schacherer J. Lachancea quebecensis sp. nov., a yeast species consistently isolated from tree bark in the Canadian province of Québec. Int J Syst Evol Microbiol 2016; 65:3392-3399. [PMID: 26297665 DOI: 10.1099/ijsem.0.000426] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
A thorough sampling of maple, oak, birch, and apple tree bark in North America yielded a set of isolates that represent a yeast species not yet formally described. The strains obtained were all isolated from the Canadian province of Québec. These four isolates have identical electrophoretic karyotypes, distinct from other species of the genus Lachancea, and are most closely related to the formally recognized species Lachancea thermotolerans according to the D1/D2 domain of the LSU rDNA gene and 5.8S–ITS region. Previous studies revealed the existence of a population of strains closely related to L. thermotolerans, with unique D1/D2 sequences and the ability to grow on melibiose, which is also true for these isolates. The sequences obtained here (for the D1/D2, and 5.8S–ITS region) are identical among the four strains, and in a phylogenetic analysis of the D1/D2 region, the strains form a distinct clade with the previously described population closely related to L. thermotolerans, composed of isolates from Japan, as well as from the provinces of Ontario and Québec in Canada. On the basis of select physiological and phylogenetic characteristics, a novel ascosporogenous yeast species, Lachancea quebecensis sp. nov., is proposed. The type strain LL11_022T ( = CBS 14138T = CLIB 1763T = UCDFST 15-106T) was isolated from maple tree bark in the Station Duchesnay, QC region of Québec, Canada. The MycoBank number is MB811749.
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Affiliation(s)
- Kelle C Freel
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156, Strasbourg, France
| | - Guillaume Charron
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes, PROTEO Université Laval, Québec, Canada
| | - Jean-Baptiste Leducq
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes, PROTEO Université Laval, Québec, Canada
| | - Christian R Landry
- Département de Biologie, Institut de Biologie Intégrative et des Systèmes, PROTEO Université Laval, Québec, Canada
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156, Strasbourg, France
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