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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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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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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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Berger JM, Alany A, Berchtold L, Puhr R, Friedrich A, Scheiner B, Prager GW, Preusser M, Berghoff AS, Bergen ES. Prognosticators of survival in patients with metastatic pancreatic cancer and ascites. ESMO Open 2023; 8:102048. [PMID: 37977000 PMCID: PMC10774951 DOI: 10.1016/j.esmoop.2023.102048] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Identification of factors associated with survival after ascites diagnosis in metastatic pancreatic cancer (mPC) patients may guide treatment decisions and help to maintain quality of life in this highly symptomatic patient collective. PATIENTS AND METHODS All patients treated for mPC at the Medical University of Vienna between 2010 and 2019 developing ascites throughout their course of disease were identified by retrospective chart review. General risk factors, metastatic sites, systemic inflammation and liver function parameters, as well as type of treatment after ascites diagnosis were investigated for associations with survival. RESULTS One hundred and seventeen mPC patients with ascites were included in this study. Median time from mPC to ascites diagnosis was 8.9 months (range 0-99 months) and median overall survival (OS) after ascites diagnosis was 27.4 days (range 21.3-42.6 days). Identified prognostic factors at ascites diagnosis independently associated with an impaired OS were presence of liver metastases [hazard ratio (HR): 2.07, 95% confidence interval (CI) 1.13-3.79, P = 0.018), peritoneal carcinomatosis (HR: 1.74, 95% CI 1.11-2.71, P = 0.015), and portal vein obstruction (HR: 2.52, 95% CI 1.29-4.90, P = 0.007). Compared with best supportive care, continuation of systemic therapy after ascites diagnosis was independently associated with survival (HR: 0.35, 95% CI 0.20-0.61, P < 0.001) with a median OS of 62 days (95% CI 51-129 days, P < 0.001) versus 16 days (95% CI 11-24 days), respectively. CONCLUSIONS Liver and peritoneal metastases as well as portal vein obstruction were found to be prognostic factors after ascites diagnosis in mPC patients. Continuation of systemic therapy after ascites diagnosis was associated with a longer OS, which needs to be evaluated in larger clinical trials including quality-of-life assessment.
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Affiliation(s)
- J M Berger
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna
| | - A Alany
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna
| | - L Berchtold
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna
| | - R Puhr
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna
| | - A Friedrich
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna
| | - B Scheiner
- Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - G W Prager
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna
| | - M Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna
| | - A S Berghoff
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna
| | - E S Bergen
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna.
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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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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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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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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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10
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Berger J, Alany A, Puhr R, Berchtold L, Friedrich A, Scheiner B, Prager G, Berghoff A, Preusser M, Bergen E. Clinical risk factors for ascites in metastatic pancreatic cancer. ESMO Open 2023; 8:101200. [PMID: 36989885 PMCID: PMC10163163 DOI: 10.1016/j.esmoop.2023.101200] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Malignant ascites is common in metastatic pancreatic cancer (mPC) and its management still remains a clinical challenge. Early identification of patients at risk for ascites development may support and guide treatment decisions. MATERIALS AND METHODS Data of patients treated for mPC at the Medical University of Vienna between 2010 and 2019 were collected by retrospective chart review. Ascites was defined as clinically relevant accumulation of intraperitoneal fluid diagnosed by ultrasound or computer tomography scan of the abdomen. We investigated the association between general risk factors, metastatic sites, liver function, systemic inflammation as well as portal vein obstruction (PVO) and ascites development. RESULTS Among 581 patients with mPC included in this study, 122 (21.0%) developed ascites after a median of 8.7 months after diagnosis of metastatic disease. The occurrence of ascites led to an 8.9-fold increased risk of death [confidence interval (CI) 7.2-11, P < 0.001] with a median overall survival of 1 month thereafter. Clinical risk factors for ascites were male sex [hazard ratio (HR) 1.71, CI 1.00-2.90, P = 0.048], peritoneal carcinomatosis (HR 6.79, CI 4.09-11.3, P < 0.001), liver metastases (HR 2.16, CI 1.19-3.91, P = 0.011), an albumin-bilirubin (ALBI) score grade 3 (HR 6.79, CI 2.11-21.8, P = 0.001), PVO (HR 2.28, CI 1.15-4.52, P = 0.019), and an elevated C-reactive protein (CRP) (HR 4.19, CI 1.58-11.1, P = 0.004). CONCLUSIONS Survival after diagnosis of ascites is very limited in mPC patients. Male sex, liver and peritoneal metastases, impaired liver function, PVO, as well as systemic inflammation were identified as independent risk factors for ascites development in this uniquely large real-life patient cohort.
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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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12
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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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13
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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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14
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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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15
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Affiliation(s)
- Anne Friedrich
- Chair of Management and Logistics Technical University of Darmstadt Germany
- Luxembourg Centre for Logistics and Supply Chain Management University of Luxembourg Luxembourg
| | - Anne Lange
- Luxembourg Centre for Logistics and Supply Chain Management University of Luxembourg Luxembourg
| | - Ralf Elbert
- Chair of Management and Logistics Technical University of Darmstadt Germany
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16
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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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17
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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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18
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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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19
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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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20
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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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21
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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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22
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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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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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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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Bigey F, Segond D, Friedrich A, Guezenec S, Bourgais A, Huyghe L, Agier N, Nidelet T, Sicard D. Evidence for Two Main Domestication Trajectories in Saccharomyces cerevisiae Linked to Distinct Bread-Making Processes. Curr Biol 2021; 31:722-732.e5. [DOI: 10.1016/j.cub.2020.11.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 09/07/2020] [Accepted: 11/05/2020] [Indexed: 10/22/2022]
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Hosseiny S, Geiger S, Friedrich A. Zero‐gap CO
2
electrolysis into value‐added chemicals. CHEM-ING-TECH 2020. [DOI: 10.1002/cite.202055422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- S. Hosseiny
- Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institut für Technische Thermodynamik Pfaffenwaldring 38–40 70569 Stuttgart Germany
| | - S. Geiger
- Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institut für Technische Thermodynamik Pfaffenwaldring 38–40 70569 Stuttgart Germany
| | - A. Friedrich
- Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institut für Technische Thermodynamik Pfaffenwaldring 38–40 70569 Stuttgart Germany
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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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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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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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30
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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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31
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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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Knoch KP, Petzold A, Wegbrod C, Sönmez A, Münster C, Friedrich A, Marinicova Z, Merl-Pham J, Hauck S, Solimena M. CVB5 proteases 2A targets insulin granule biogenesis in MIN6 cells. DIABETOL STOFFWECHS 2018. [DOI: 10.1055/s-0038-1641934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- KP Knoch
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - A Petzold
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - C Wegbrod
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - A Sönmez
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - C Münster
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - A Friedrich
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - Z Marinicova
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
| | - J Merl-Pham
- Research Unit Protein Science Helmholtz Center Munich, Munich, Germany
| | - S Hauck
- Research Unit Protein Science Helmholtz Center Munich, Munich, Germany
| | - M Solimena
- TU Dresden, Medizinische Fakultät, Paul Langerhans Institut Dresden, Molecular Diabetology, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany, Neuherberg, Germany
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33
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Solimena M, Schulte AM, Marselli L, Ehehalt F, Richter D, Kleeberg M, Mziaut H, Knoch KP, Parnis J, Bugliani M, Siddiq A, Jörns A, Burdet F, Liechti R, Suleiman M, Margerie D, Syed F, Distler M, Grützmann R, Petretto E, Moreno-Moral A, Wegbrod C, Sönmez A, Pfriem K, Friedrich A, Meinel J, Wollheim CB, Baretton GB, Scharfmann R, Nogoceke E, Bonifacio E, Sturm D, Meyer-Puttlitz B, Boggi U, Saeger HD, Filipponi F, Lesche M, Meda P, Dahl A, Wigger L, Xenarios I, Falchi M, Thorens B, Weitz J, Bokvist K, Lenzen S, Rutter GA, Froguel P, von Bülow M, Ibberson M, Marchetti P. Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes. Diabetologia 2018; 61:641-657. [PMID: 29185012 PMCID: PMC5803296 DOI: 10.1007/s00125-017-4500-3] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 08/29/2017] [Indexed: 01/25/2023]
Abstract
AIMS/HYPOTHESIS Pancreatic islet beta cell failure causes type 2 diabetes in humans. To identify transcriptomic changes in type 2 diabetic islets, the Innovative Medicines Initiative for Diabetes: Improving beta-cell function and identification of diagnostic biomarkers for treatment monitoring in Diabetes (IMIDIA) consortium ( www.imidia.org ) established a comprehensive, unique multicentre biobank of human islets and pancreas tissues from organ donors and metabolically phenotyped pancreatectomised patients (PPP). METHODS Affymetrix microarrays were used to assess the islet transcriptome of islets isolated either by enzymatic digestion from 103 organ donors (OD), including 84 non-diabetic and 19 type 2 diabetic individuals, or by laser capture microdissection (LCM) from surgical specimens of 103 PPP, including 32 non-diabetic, 36 with type 2 diabetes, 15 with impaired glucose tolerance (IGT) and 20 with recent-onset diabetes (<1 year), conceivably secondary to the pancreatic disorder leading to surgery (type 3c diabetes). Bioinformatics tools were used to (1) compare the islet transcriptome of type 2 diabetic vs non-diabetic OD and PPP as well as vs IGT and type 3c diabetes within the PPP group; and (2) identify transcription factors driving gene co-expression modules correlated with insulin secretion ex vivo and glucose tolerance in vivo. Selected genes of interest were validated for their expression and function in beta cells. RESULTS Comparative transcriptomic analysis identified 19 genes differentially expressed (false discovery rate ≤0.05, fold change ≥1.5) in type 2 diabetic vs non-diabetic islets from OD and PPP. Nine out of these 19 dysregulated genes were not previously reported to be dysregulated in type 2 diabetic islets. Signature genes included TMEM37, which inhibited Ca2+-influx and insulin secretion in beta cells, and ARG2 and PPP1R1A, which promoted insulin secretion. Systems biology approaches identified HNF1A, PDX1 and REST as drivers of gene co-expression modules correlated with impaired insulin secretion or glucose tolerance, and 14 out of 19 differentially expressed type 2 diabetic islet signature genes were enriched in these modules. None of these signature genes was significantly dysregulated in islets of PPP with impaired glucose tolerance or type 3c diabetes. CONCLUSIONS/INTERPRETATION These studies enabled the stringent definition of a novel transcriptomic signature of type 2 diabetic islets, regardless of islet source and isolation procedure. Lack of this signature in islets from PPP with IGT or type 3c diabetes indicates differences possibly due to peculiarities of these hyperglycaemic conditions and/or a role for duration and severity of hyperglycaemia. Alternatively, these transcriptomic changes capture, but may not precede, beta cell failure.
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Affiliation(s)
- Michele Solimena
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany.
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany.
- Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), 01307, Dresden, Germany.
| | - Anke M Schulte
- Sanofi-Aventis Deutschland GmbH, Diabetes Research, Industriepark Höchst, Building H821, 65926, Frankfurt am Main, Germany.
| | - Lorella Marselli
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy
| | - Florian Ehehalt
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
- Department of Visceral-Thoracic-Vascular Surgery, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Daniela Richter
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Manuela Kleeberg
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
- Department of Visceral-Thoracic-Vascular Surgery, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Hassan Mziaut
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Klaus-Peter Knoch
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Julia Parnis
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK
| | - Marco Bugliani
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy
| | - Afshan Siddiq
- Queen Mary University of London, Dawson Hall, London, UK
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
| | - Anne Jörns
- Institute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany
| | - Frédéric Burdet
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, bâtiment Génopode, 1015, Lausanne, Switzerland
| | - Robin Liechti
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, bâtiment Génopode, 1015, Lausanne, Switzerland
| | - Mara Suleiman
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy
| | - Daniel Margerie
- Sanofi-Aventis Deutschland GmbH, Diabetes Research, Industriepark Höchst, Building H821, 65926, Frankfurt am Main, Germany
| | - Farooq Syed
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy
| | - Marius Distler
- Department of Visceral-Thoracic-Vascular Surgery, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Robert Grützmann
- Department of Surgery, University Hospital of Erlangen, Erlangen, Germany
| | - Enrico Petretto
- Medical Research Council (MRC), Institute of Medical Sciences, Imperial College London, London, UK
- Duke-NUS Medical School, Singapore, Republic of Singapore
| | - Aida Moreno-Moral
- Medical Research Council (MRC), Institute of Medical Sciences, Imperial College London, London, UK
- Duke-NUS Medical School, Singapore, Republic of Singapore
| | - Carolin Wegbrod
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Anke Sönmez
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Katja Pfriem
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Anne Friedrich
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
| | - Jörn Meinel
- Department of Pathology, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Claes B Wollheim
- Department of Cell Physiology and Metabolism, Geneva University Medical Center, Geneva, Switzerland
| | - Gustavo B Baretton
- Department of Pathology, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Raphael Scharfmann
- INSERM, U1016, Institut Cochin, Faculté de Médecine, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Everson Nogoceke
- F. Hoffmann-La Roche Ltd, Roche Innovation Center Basel, Basel, Switzerland
| | - Ezio Bonifacio
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
- Center for Regenerative Therapies Dresden (CRTD), TU Dresden, Dresden, Germany
| | - Dorothée Sturm
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
- Department of Visceral-Thoracic-Vascular Surgery, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Birgit Meyer-Puttlitz
- Sanofi-Aventis Deutschland GmbH, Diabetes Research, Industriepark Höchst, Building H821, 65926, Frankfurt am Main, Germany
| | - Ugo Boggi
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy
| | - Hans-Detlev Saeger
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
- Department of Visceral-Thoracic-Vascular Surgery, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Franco Filipponi
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy
| | | | - Paolo Meda
- Department of Cell Physiology and Metabolism, Geneva University Medical Center, Geneva, Switzerland
| | - Andreas Dahl
- Biotechnology Center, TU Dresden, Dresden, Germany
| | - Leonore Wigger
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, bâtiment Génopode, 1015, Lausanne, Switzerland
| | - Ioannis Xenarios
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, bâtiment Génopode, 1015, Lausanne, Switzerland
| | - Mario Falchi
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
| | - Bernard Thorens
- Centre for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Jürgen Weitz
- Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
- German Center for Diabetes Research (DZD), Munich Neuherberg, Germany
- Department of Visceral-Thoracic-Vascular Surgery, University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Krister Bokvist
- Lilly Research Laboratories, Eli Lilly, Indianapolis, IN, USA
| | - Sigurd Lenzen
- Institute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany
| | - Guy A Rutter
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK
| | - Philippe Froguel
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- CNRS-UMR8199, Lille Pasteur Institute, Lille, France
- Lille University Hospital, Lille, France
- European Genomic Institute for Diabetes (EGID), Lille, France
| | - Manon von Bülow
- Sanofi-Aventis Deutschland GmbH, Diabetes Research, Industriepark Höchst, Building H821, 65926, Frankfurt am Main, Germany
| | - Mark Ibberson
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, bâtiment Génopode, 1015, Lausanne, Switzerland.
| | - Piero Marchetti
- Department of Clinical and Experimental Medicine, Cisanello University Hospital, University of Pisa, Via Paradisa 2, 56126, Pisa, Italy.
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Bremer S, Kiess W, Thome U, Knüpfer M, Bühligen U, Vogel M, Friedrich A, Janisch U, Rißmann A. Errata: Prävalenz von Gastroschisis, Omphalozele, Spina bifida und orofazialen Spaltbildungen bei Neugeborenen im Zeitraum Januar 2000–Dezember 2010 in Leipzig, Sachsen, Sachsen-Anhalt und Deutschland. Gesundheitswesen 2018; 80:e11. [DOI: 10.1055/s-0042-114082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- S. Bremer
- Department für Frauen- und Kindermedizin, Klinik für Kinder- und Jugendmedizin, Leipzig
| | - W. Kiess
- Department für Frauen- und Kindermedizin, Klinik für Kinder- und Jugendmedizin, Leipzig
| | - U. Thome
- Universitätsklinikum Leipzig, Department für Frauen- und Kindermedizin, Klinik und Poliklinik für Kinder und Jugendliche, Selbstständige Abteilung für Neonatologie, Leipzig
| | - M. Knüpfer
- Universitätsklinikum Leipzig, Department für Frauen- und Kindermedizin, Klinik und Poliklinik für Kinder und Jugendliche, Selbstständige Abteilung für Neonatologie, Leipzig
| | - U. Bühligen
- Universitätsklinikum Leipzig, Department für Frauen- und Kindermedizin, Klinik und Poliklinik für Kinderchirurgie, Leipzig
| | - M. Vogel
- Universitätsklinikum Leipzig, LIFE – Leipziger Forschungszentrum für Zivilisationserkrankungen, Leipzig
| | - A. Friedrich
- Sächsische Landesärztekammer, Qualitätssicherung, Dresden
| | - U. Janisch
- Statistischen Landesamt des Freistaates Sachsen, Forschungsdatenzentrum der Statistischen Ämter des Bundes und der Länder, Dresden
| | - A. Rißmann
- Fehlbildungsmonitoring Sachsen-Anhalt, Neugeborenen-Hörscreening Trackingzentrale Sachsen-Anhalt, Medizinische Fakultät der Otto-von-Guericke Universität Magdeburg, Magdeburg
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35
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Bremer S, Kiess W, Thome U, Knüpfer M, Bühligen U, Vogel M, Friedrich A, Janisch U, Rißmann A. Prävalenz von Gastroschisis, Omphalozele, Spina bifida und orofazialen Spaltbildungen bei Neugeborenen im Zeitraum Januar 2000–Dezember 2010 in Leipzig, Sachsen, Sachsen-Anhalt und Deutschland. Gesundheitswesen 2018; 80:122-128. [DOI: 10.1055/s-0042-102345] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Zusammenfassung
Hintergrund: Zahlreiche Studien beschreiben weltweit eine Zunahme angeborener Fehlbildungen. Diese sind in Deutschland die häufigste Todesursache im frühen Kindesalter. Die hier vorliegende Studie untersuchte lokale und nationale Trends der Prävalenz von Gastroschisis, Omphalozele, Spina bifida und orofazialen Spaltbildungen von 2000 bis 2010.
Methoden: Die Prävalenz der 4 Fehlbildungen wurde im Zeitraum Januar 2000–Dezember 2010 mithilfe von 4 Datenquellen aus Leipzig, Sachsen, Sachsen-Anhalt und Deutschland untersucht.
Ergebnisse: Die Prävalenz der Fehlbildungen betrug im Untersuchungszeitraum in Deutschland bzw. in Sachsen 1,97/2,12 (Gastroschisis), 1,63/1,48 (Omphalozele), 5,80/8,11 (orofaziale Spaltbildungen) und 2,92/2,50 (Spina bifida) je 10 000 Lebendgeborene. In Sachsen zeigte sich ein Trendanstieg, dessen Effektstärken jedoch sehr gering sind (OR/Jahr zwischen 1,01–1,09). Auch in Deutschland insgesamt wurde eine signifikante Zunahme der Fehlbildungen beobachtet (OR/Jahr zwischen 1,01–1,04), ausgenommen davon war die Lebendgeborenenprävalenz der Spina bifida, die abzunehmen schien (OR/Jahr 0,986 (0,97–1,0), p-korrigiert=0,04).
Schlussfolgerung: Ob ein tatsächlicher Anstieg der Prävalenzen besteht oder lediglich Artefakte einen Anstieg vortäuschen, ist unklar. Änderungen in der Erfassungs- und Verschlüsselungspraxis, Fehlcodierungen, Doppel- und/oder lückenhafte Erfassung der Fehlbildungen könnten die Daten verfälschen. Da nur in Sachsen-Anhalt und Rheinland-Pfalz das Auftreten von Fehlbildungen prospektiv erfasst wird, könnten im Übrigen auch nur in diesen Bundesländern zeitnah Veränderungen der Fehlbildungsprävalenz erkannt werden. Angesichts der anscheinenden oder scheinbaren Zunahme von Fehlbildungen und der offensichtlich fehlerhaften Datenlage ist ein bundesweites oder sind weitere regionale Register für eine bessere und zeitnahe Erkennung und Erfassung von Fehlbildungen in Deutschland notwendig.
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Affiliation(s)
- S. Bremer
- Department für Frauen- und Kindermedizin, Klinik für Kinder- und Jugendmedizin, Leipzig
| | - W. Kiess
- Department für Frauen- und Kindermedizin, Klinik für Kinder- und Jugendmedizin, Leipzig
| | - U. Thome
- Universitätsklinikum Leipzig, Department für Frauen- und Kindermedizin, Klinik und Poliklinik für Kinder und Jugendliche, Selbstständige Abteilung für Neonatologie, Leipzig
| | - M. Knüpfer
- Universitätsklinikum Leipzig, Department für Frauen- und Kindermedizin, Klinik und Poliklinik für Kinder und Jugendliche, Selbstständige Abteilung für Neonatologie, Leipzig
| | - U. Bühligen
- Universitätsklinikum Leipzig, Department für Frauen- und Kindermedizin, Klinik und Poliklinik für Kinderchirurgie, Leipzig
| | - M. Vogel
- Universitätsklinikum Leipzig, LIFE – Leipziger Forschungszentrum für Zivilisationserkrankungen, Leipzig
| | - A. Friedrich
- Sächsische Landesärztekammer, Qualitätssicherung, Dresden
| | - U. Janisch
- Statistischen Landesamt des Freistaates Sachsen, Forschungsdatenzentrum der Statistischen Ämter des Bundes und der Länder, Dresden
| | - A. Rißmann
- Fehlbildungsmonitoring Sachsen-Anhalt, Neugeborenen-Hörscreening Trackingzentrale Sachsen-Anhalt, Medizinische Fakultät der Otto-von-Guericke Universität Magdeburg, Magdeburg
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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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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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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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Knoch KP, Dhandapani L, Petzhold A, Wegbrod C, Sönmez A, Friedrich A, Solimena M. The effect Echovirus 9 on posttranscriptional mechanism in human beta cells EndoCßH1 cells. DIABETOL STOFFWECHS 2017. [DOI: 10.1055/s-0037-1601621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- KP Knoch
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
| | - L Dhandapani
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
| | - A Petzhold
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
| | - C Wegbrod
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
| | - A Sönmez
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
| | - A Friedrich
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
| | - M Solimena
- Paul Langerhans Institut Dresden, Medizinischen Fakultät, TU Dresden, Molekulare Diabetologie, Dresden, Germany
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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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Friedrich A. Ein Beitrag zur Durchführung der quantitativen mikroanalytischen Kohlen-Wasserstoffbestimmung nach Fritz Pregl. Angew Chem Int Ed Engl 2016. [DOI: 10.1002/ange.19230366504] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bis B, Drewes S, Friedrich A. P-256VIDEO-ASSISTED MEDIASTINAL LYMPHADENECTOMY: DIFFICULT OPERATIVE PROCEDURE AND DANGEROUS FOR PHONATION. Interact Cardiovasc Thorac Surg 2016. [DOI: 10.1093/icvts/ivw260.253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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43
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Volyk R, Friedrich A. Fallvorstellung Pneumatosis coli. Zentralbl Chir 2016. [DOI: 10.1055/s-0036-1586314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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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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Brion C, Pflieger D, Souali-Crespo S, Friedrich A, Schacherer J. Differences in environmental stress response among yeasts is consistent with species-specific lifestyles. Mol Biol Cell 2016; 27:1694-705. [PMID: 27009200 PMCID: PMC4865325 DOI: 10.1091/mbc.e15-12-0816] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [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: 12/03/2015] [Accepted: 03/15/2016] [Indexed: 12/19/2022] Open
Abstract
Defining how organisms respond to environmental change has always been an important step toward understanding their adaptive capacity and physiology. Variation in transcription during stress has been widely described in model species, especially in the yeast Saccharomyces cerevisiae, which helped to shape general rules regarding how cells cope with environmental constraints, as well as to decipher the functions of many genes. Comparison of the environmental stress response (ESR) across species is essential to obtaining better insight into the common and species-specific features of stress defense. In this context, we explored the transcriptional landscape of the yeast Lachancea kluyveri (formerly Saccharomyces kluyveri) in response to diverse stresses, using RNA sequencing. We investigated variation in gene expression and observed a link between genetic plasticity and environmental sensitivity. We identified the ESR genes in this species and compared them to those already found in S. cerevisiae We observed common features between the two species, as well as divergence in the regulatory networks involved. Of interest, some changes were related to differences in species lifestyle. Thus we were able to decipher how adaptation to stress has evolved among different yeast species. Finally, by analyzing patterns of coexpression, we were able to propose potential biological functions for 42% of genes and also annotate 301 genes for which no function could be assigned by homology. This large data set allowed for the characterization of the evolution of gene regulation and provides an efficient tool for assessing gene function.
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Affiliation(s)
- Christian Brion
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - David Pflieger
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - Sirine Souali-Crespo
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg 67083, France
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Friedrich A, Drewes S, Rolle A, Kraßler J. Palliative broncho-angioplastische Oberlappenresektion unter veno-venöser ECMO als Rescue-Eingriff bei respiratorischer Globalinsuffizienz und SCLC. Pneumologie 2016. [DOI: 10.1055/s-0035-1570295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Freel KC, Friedrich A, Sarilar V, Devillers H, Neuvéglise C, Schacherer J. Whole-Genome Sequencing and Intraspecific Analysis of the Yeast Species Lachancea quebecensis. Genome Biol Evol 2016; 8:733-41. [PMID: 26733577 PMCID: PMC4823976 DOI: 10.1093/gbe/evv262] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [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] [Indexed: 12/31/2022] Open
Abstract
The gold standard in yeast population genomics has been the model organism Saccharomyces cerevisiae. However, the exploration of yeast species outside the Saccharomyces genus is essential to broaden the understanding of genome evolution. Here, we report the analyses of whole-genome sequences of nineisolates from the recently described yeast species Lachancea quebecensis. The genome of one isolate was assembled and annotated, and the intraspecific variability within L. quebecensis was surveyed by comparing the sequences from the eight other isolates to this reference sequence. Our study revealed that these strains harbor genomes with an average nucleotide diversity of π = 2 × 10−3 which is slightly lower, although on the same order of magnitude, as that previously determined for S. cerevisiae (π = 4 × 10−3). Our results show that even though these isolates were all obtained from a relatively isolated geographic location, the same ecological source, and represent a smaller sample size than is available for S. cerevisiae, the levels of divergence are similar to those observed in this model species. This divergence is essentially linked to the presence of two distinct clusters delineated according to geographic location. However, even with relatively similar ranges of genome divergence, L. quebecensis has an extremely low global phenotypic variance of 0.062 compared with 0.59 previously determined in S. cerevisiae.
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Affiliation(s)
- Kelle C Freel
- Department of Genetics, Genomics and Microbiology, UMR7156, University of Strasbourg - CNRS, Strasbourg, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, UMR7156, University of Strasbourg - CNRS, Strasbourg, France
| | - Véronique Sarilar
- INRA, UMR1319 Micalis, Jouy-en-Josas, France AgroParisTech, UMR1319 Micalis, Jouy-en-Josas, France
| | - Hugo Devillers
- INRA, UMR1319 Micalis, Jouy-en-Josas, France AgroParisTech, UMR1319 Micalis, Jouy-en-Josas, France
| | - Cécile Neuvéglise
- INRA, UMR1319 Micalis, Jouy-en-Josas, France AgroParisTech, UMR1319 Micalis, Jouy-en-Josas, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, UMR7156, University of Strasbourg - CNRS, Strasbourg, France
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Jurke A, Thole S, Lunemann M, Rohde M, Köck R, Soethoudt K, Friedrich A, Daniels-Haardt I. Implementing an Euregional databasis webtool for transborder surveillance of notifiable infectious diseases. Antimicrob Resist Infect Control 2015. [PMCID: PMC4475134 DOI: 10.1186/2047-2994-4-s1-p230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Abstract
Mitochondria are important organelles that harbor their own genomes encoding a key set of proteins that ensure respiration and provide the eukaryotic cell with energy. Recent advances in high-throughput sequencing technologies present a unique opportunity to explore mitochondrial (mt) genome evolution. The Saccharomycotina yeasts have proven to be the leading organisms for mt comparative and population genomics. In fact, the explosion of complete yeast mt genome sequences has allowed for a broader view of the mt diversity across this incredibly diverse subphylum, both within and between closely related species. Here, we summarize the present state of yeast mitogenomics, including the currently available data and what it reveals concerning the diversity of content, organization, structure and evolution of mt genomes.
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Affiliation(s)
- Kelle C Freel
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156 Strasbourg 67083, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156 Strasbourg 67083, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156 Strasbourg 67083, France
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Brion C, Pflieger D, Friedrich A, Schacherer J. Evolution of intraspecific transcriptomic landscapes in yeasts. Nucleic Acids Res 2015; 43:4558-68. [PMID: 25897111 PMCID: PMC4482089 DOI: 10.1093/nar/gkv363] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [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: 02/20/2015] [Accepted: 04/02/2015] [Indexed: 01/13/2023] Open
Abstract
Variations in gene expression have been widely explored in order to obtain an accurate overview of the changes in regulatory networks that underlie phenotypic diversity. Numerous studies have characterized differences in genomic expression between large numbers of individuals of model organisms such as Saccharomyces cerevisiae. To more broadly survey the evolution of the transcriptomic landscape across species, we measured whole-genome expression in a large collection of another yeast species: Lachancea kluyveri (formerly Saccharomyces kluyveri), using RNAseq. Interestingly, this species diverged from the S. cerevisiae lineage prior to its ancestral whole genome duplication. Moreover, L. kluyveri harbors a chromosome-scale compositional heterogeneity due to a 1-Mb ancestral introgressed region as well as a large set of unique unannotated genes. In this context, our comparative transcriptomic analysis clearly showed a link between gene evolutionary history and expression behavior. Indeed, genes that have been recently acquired or under function relaxation tend to be less transcribed show a higher intraspecific variation (plasticity) and are less involved in network (connectivity). Moreover, utilizing this approach in L. kluyveri also highlighted specific regulatory network signatures in aerobic respiration, amino-acid biosynthesis and glycosylation, presumably due to its different lifestyle. Our data set sheds an important light on the evolution of intraspecific transcriptomic variation across distant species.
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Affiliation(s)
- Christian Brion
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg, France
| | - David Pflieger
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg, France
| | - Anne Friedrich
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg, CNRS, UMR7156, Strasbourg, France
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