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Villarreal P, O'Donnell S, Agier N, Muñoz-Guzman F, Benavides-Parra J, Urbina K, Peña TA, Solomon M, Nespolo RF, Fischer G, Varela C, Cubillos FA. Domestication signatures in the non-conventional yeast Lachancea cidri. mSystems 2024; 9:e0105823. [PMID: 38085042 PMCID: PMC10805023 DOI: 10.1128/msystems.01058-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/06/2023] [Indexed: 01/24/2024] Open
Abstract
Evaluating domestication signatures beyond model organisms is essential for a thorough understanding of the genotype-phenotype relationship in wild and human-related environments. Structural variations (SVs) can significantly impact phenotypes playing an important role in the physiological adaptation of species to different niches, including during domestication. A detailed characterization of the fitness consequences of these genomic rearrangements, however, is still limited in non-model systems, largely due to the paucity of direct comparisons between domesticated and wild isolates. Here, we used a combination of sequencing strategies to explore major genomic rearrangements in a Lachancea cidri yeast strain isolated from cider (CBS2950) and compared them to those in eight wild isolates from primary forests. Genomic analysis revealed dozens of SVs, including a large reciprocal translocation (~16 kb and 500 kb) present in the cider strain, but absent from all wild strains. Interestingly, the number of SVs was higher relative to single-nucleotide polymorphisms in the cider strain, suggesting a significant role in the strain's phenotypic variation. The set of SVs identified directly impacts dozens of genes and likely underpins the greater fermentation performance in the L. cidri CBS2950. In addition, the large reciprocal translocation affects a proline permease (PUT4) regulatory region, resulting in higher PUT4 transcript levels, which agrees with higher ethanol tolerance, improved cell growth when using proline, and higher amino acid consumption during fermentation. These results suggest that SVs are responsible for the rapid physiological adaptation of yeast to a human-related environment and demonstrate the key contribution of SVs in adaptive fermentative traits in non-model species.IMPORTANCEThe exploration of domestication signatures associated with human-related environments has predominantly focused on studies conducted on model organisms, such as Saccharomyces cerevisiae, overlooking the potential for comparisons across other non-Saccharomyces species. In our research, employing a combination of long- and short-read data, we found domestication signatures in Lachancea cidri, a non-model species recently isolated from fermentative environments in cider in France. The significance of our study lies in the identification of large array of major genomic rearrangements in a cider strain compared to wild isolates, which underly several fermentative traits. These domestication signatures result from structural variants, which are likely responsible for the phenotypic differences between strains, providing a rapid path of adaptation to human-related environments.
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Affiliation(s)
- Pablo Villarreal
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Samuel O'Donnell
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Nicolas Agier
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Felipe Muñoz-Guzman
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Jose Benavides-Parra
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
| | - Kami Urbina
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Millenium Nucleus of Patagonian Limit of Life (LiLi), Santiago, Chile
| | - Tomas A. Peña
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Mark Solomon
- The Australian Wine Research Institute, Glen Osmond, Adelaide, SA, Australia
| | - Roberto F. Nespolo
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Millenium Nucleus of Patagonian Limit of Life (LiLi), Santiago, Chile
- Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, Chile
- Center of Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Universidad Católica de Chile, Santiago, Chile
| | - Gilles Fischer
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Cristian Varela
- The Australian Wine Research Institute, Glen Osmond, Adelaide, SA, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, Adelaide, SA, Australia
| | - Francisco A. Cubillos
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Millenium Nucleus of Patagonian Limit of Life (LiLi), Santiago, Chile
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2
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Zhou S, Wu Y, Zhao Y, Zhang Z, Jiang L, Liu L, Zhang Y, Tang J, Yuan YJ. Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization. Natl Sci Rev 2023; 10:nwad073. [PMID: 37223244 PMCID: PMC10202648 DOI: 10.1093/nsr/nwad073] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/07/2022] [Accepted: 02/02/2023] [Indexed: 11/12/2023] Open
Abstract
Synthetic genome evolution provides a dynamic approach for systematically and straightforwardly exploring evolutionary processes. Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution (SCRaMbLE) is an evolutionary system intrinsic to the synthetic yeast genome that can rapidly drive structural variations. Here, we detect over 260 000 rearrangement events after the SCRaMbLEing of a yeast strain harboring 5.5 synthetic yeast chromosomes (synII, synIII, synV, circular synVI, synIXR and synX). Remarkably, we find that the rearrangement events exhibit a specific landscape of frequency. We further reveal that the landscape is shaped by the combined effects of chromatin accessibility and spatial contact probability. The rearrangements tend to occur in 3D spatially proximal and chromatin-accessible regions. The enormous numbers of rearrangements mediated by SCRaMbLE provide a driving force to potentiate directed genome evolution, and the investigation of the rearrangement landscape offers mechanistic insights into the dynamics of genome evolution.
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Affiliation(s)
- Sijie Zhou
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yi Wu
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yu Zhao
- Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA
| | - Zhen Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Limin Jiang
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
| | - Lin Liu
- Epigenetic Group, FrasergenBioinformatics Co., Ltd., Wuhan 430000, China
| | - Yan Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Jijun Tang
- School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China
- Department of Computer Science, University of South Carolina, Columbia, SC 29208, USA
| | - Ying-Jin Yuan
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
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3
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Contreras-Ruiz A, Alonso-del-Real J, Barrio E, Querol A. Saccharomyces cerevisiae wine strains show a wide range of competitive abilities and differential nutrient uptake behavior in co-culture with S. kudriavzevii. Food Microbiol 2023. [DOI: 10.1016/j.fm.2023.104276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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4
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Villarreal P, Villarroel CA, O'Donnell S, Agier N, Quintero-Galvis JF, Peña TA, Nespolo RF, Fischer G, Varela C, Cubillos FA. Late Pleistocene-dated divergence between South Hemisphere populations of the non-conventional yeast L. cidri. Environ Microbiol 2022; 24:5615-5629. [PMID: 35769023 DOI: 10.1111/1462-2920.16103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/08/2022] [Accepted: 06/13/2022] [Indexed: 01/12/2023]
Abstract
Most organisms belonging to the Saccharomycotina subphylum have high genetic diversity and a vast repertoire of metabolisms and lifestyles. Lachancea cidri is an ideal yeast model for exploring the interplay between genetics, ecological function and evolution. Lachancea cidri diverged from the Saccharomyces lineage before the whole-genome duplication and is distributed across the South Hemisphere, displaying an important ecological success. We applied phylogenomics to investigate the genetic variation of L. cidri isolates obtained from Australia and South America. Our approach revealed the presence of two main lineages according to their geographic distribution (Aus and SoAm). Estimation of the divergence time suggests that SoAm and Aus lineages diverged near the last glacial maximum event during the Pleistocene (64-8 KYA). Interestingly, we found that the French reference strain is closely related to the Australian strains, with a recent divergence (405-51 YA), likely associated to human movements. Additionally, we identified different lineages within the South American population, revealing that Patagonia contains a similar genetic diversity comparable to that of other lineages in S. cerevisiae. These findings support the idea of a Pleistocene-dated divergence between South Hemisphere lineages, where the Nothofagus and Araucaria ecological niches likely favoured the extensive distribution of L. cidri in Patagonia.
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Affiliation(s)
- Pablo Villarreal
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Carlos A Villarroel
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile.,Instituto de Ciencias Biológicas, Universidad de Talca, Talca, Chile.,Instituto de Investigación Interdisciplinaria (I3), Universidad de Talca, Talca, Chile
| | - Sam O'Donnell
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Nicolas Agier
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Julian F Quintero-Galvis
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile.,Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, Chile
| | - Tomas A Peña
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Roberto F Nespolo
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile.,Instituto de Ciencias Ambientales y Evolutivas, Universidad Austral de Chile, Valdivia, Chile.,Center of Applied Ecology and Sustainability (CAPES), Facultad de Ciencias Biológicas, Universidad Católica de Chile, Santiago, Chile.,Millenium Nucleus of Patagonian Limit of Life (LiLi), Valdivia, Chile
| | - Gilles Fischer
- Laboratory of Computational and Quantitative Biology, CNRS, Institut de Biologie Paris-Seine, Sorbonne Université, Paris, France
| | - Cristian Varela
- The Australian Wine Research Institute, Glen Osmond, Adelaide, South Australia, Australia.,Department of Wine and Food Science, University of Adelaide, Glen Osmond, Adelaide, South Australia, Australia
| | - Francisco A Cubillos
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile.,Millenium Nucleus of Patagonian Limit of Life (LiLi), Valdivia, Chile
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5
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Olguín V, Durán A, Las Heras M, Rubilar JC, Cubillos FA, Olguín P, Klein AD. Genetic Background Matters: Population-Based Studies in Model Organisms for Translational Research. Int J Mol Sci 2022; 23:7570. [PMID: 35886916 PMCID: PMC9316598 DOI: 10.3390/ijms23147570] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 02/01/2023] Open
Abstract
We are all similar but a bit different. These differences are partially due to variations in our genomes and are related to the heterogeneity of symptoms and responses to treatments that patients exhibit. Most animal studies are performed in one single strain with one manipulation. However, due to the lack of variability, therapies are not always reproducible when treatments are translated to humans. Panels of already sequenced organisms are valuable tools for mimicking human phenotypic heterogeneities and gene mapping. This review summarizes the current knowledge of mouse, fly, and yeast panels with insightful applications for translational research.
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Affiliation(s)
- Valeria Olguín
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Anyelo Durán
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Macarena Las Heras
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Juan Carlos Rubilar
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Francisco A. Cubillos
- Departamento de Biología, Santiago, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago 9170022, Chile;
- Millennium Institute for Integrative Biology (iBio), Santiago 7500565, Chile
| | - Patricio Olguín
- Program in Human Genetics, Institute of Biomedical Sciences, Biomedical Neurosciences Institute, Department of Neuroscience, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile;
| | - Andrés D. Klein
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
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6
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The teenage years of yeast population genomics trace history, admixing and getting wilder. Curr Opin Genet Dev 2022; 75:101942. [PMID: 35753210 DOI: 10.1016/j.gde.2022.101942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 11/22/2022]
Abstract
Population genomics studies the evolutionary processes that shape intraspecies genetic variations. In this review, I explore the insights into yeast-population genomics that have emerged from recent advances in sequencing. Genomes of the model Saccharomyces cerevisiae and many new yeast species from around the world are being used to address various aspects of population biology, including geographical origin, the level of introgression, domestication signatures, and outcrossing frequency. New long-read sequencing has enabled a greater capacity to quantify these variations at a finer resolution from complete de novo genomes at the population scale to phasing subgenomes of different origins. These resources provide a platform to dissect the relationship between phenotypes across environmental niches.
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7
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Harrouard J, Eberlein C, Ballestra P, Dols-Lafargue M, Masneuf-Pomarede I, Miot-Sertier C, Schacherer J, Albertin W. Brettanomyces bruxellensis: Overview of the genetic and phenotypic diversity of an anthropized yeast. Mol Ecol 2022; 32:2374-2395. [PMID: 35318747 DOI: 10.1111/mec.16439] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 03/08/2022] [Accepted: 03/16/2022] [Indexed: 12/24/2022]
Abstract
Human-associated microorganisms are ideal models to study the impact of environmental changes on species evolution and adaptation because of their small genome, short generation time, and their colonization of contrasting and ever-changing ecological niches. The yeast Brettanomyces bruxellensis is a good example of organism facing anthropogenic-driven selective pressures. It is associated with fermentation processes in which it can be considered either as a spoiler (e.g. winemaking, bioethanol production) or as a beneficial microorganism (e.g. production of specific beers, kombucha). Besides its industrial interests, noteworthy parallels and dichotomies with Saccharomyces cerevisiae propelled B. bruxellensis as a valuable complementary yeast model. In this review, we emphasize that the broad genetic and phenotypic diversity of this species is only beginning to be uncovered. Population genomic studies have revealed the co-existence of auto- and allotriploidization events with different evolutionary outcomes. The different diploid, autotriploid and allotriploid subpopulations are associated with specific fermented processes, suggesting independent adaptation events to anthropized environments. Phenotypically, B. bruxellensis is renowned for its ability to metabolize a wide variety of carbon and nitrogen sources, which may explain its ability to colonize already fermented environments showing low-nutrient contents. Several traits of interest could be related to adaptation to human activities (e.g. nitrate metabolization in bioethanol production, resistance to sulphite treatments in winemaking). However, phenotypic traits are insufficiently studied in view of the great genomic diversity of the species. Future work will have to take into account strains of varied substrates, geographical origins as well as displaying different ploidy levels to improve our understanding of an anthropized yeast's phenotypic landscape.
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Affiliation(s)
- Jules Harrouard
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France
| | - Chris Eberlein
- Université de Strasbourg, CNRS, GMGM, UMR 7156, Strasbourg, France
| | - Patricia Ballestra
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France
| | - Marguerite Dols-Lafargue
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France.,ENSCBP, Bordeaux INP, 33600, Pessac, France
| | - Isabelle Masneuf-Pomarede
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France.,BSA, 33170, Gradignan
| | - Cécile Miot-Sertier
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM, UMR 7156, Strasbourg, France.,Institut Universitaire de France (IUF), Paris, France
| | - Warren Albertin
- UMR 1366 OENOLOGIE, Univ. Bordeaux, INRAE, Bordeaux INP, Bordeaux Sciences Agro, Institut des Sciences de la Vigne et du Vin, 33140, Villenave d'Ornon, France.,ENSCBP, Bordeaux INP, 33600, Pessac, France
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8
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Heasley LR, Argueso JL. Genomic characterization of a wild diploid isolate of Saccharomyces cerevisiae reveals an extensive and dynamic landscape of structural variation. Genetics 2021; 220:6428545. [PMID: 34791219 PMCID: PMC9176296 DOI: 10.1093/genetics/iyab193] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/22/2021] [Indexed: 11/15/2022] Open
Abstract
The budding yeast Saccharomyces cerevisiae has been extensively characterized for many decades and is a critical resource for the study of numerous facets of eukaryotic biology. Recently, whole genome sequence analysis of over 1000 natural isolates of S. cerevisiae has provided critical insights into the evolutionary landscape of this species by revealing a population structure comprised of numerous genomically diverse lineages. These survey-level analyses have been largely devoid of structural genomic information, mainly because short read sequencing is not suitable for detailed characterization of genomic architecture. Consequently, we still lack a complete perspective of the genomic variation the exists within the species. Single molecule long read sequencing technologies, such as Oxford Nanopore and PacBio, provide sequencing-based approaches with which to rigorously define the structure of a genome, and have empowered yeast geneticists to explore this poorly described realm of eukaryotic genomics. Here, we present the comprehensive genomic structural analysis of a wild diploid isolate of S. cerevisiae, YJM311. We used long read sequence analysis to construct a haplotype-phased, telomere-to-telomere length assembly of the YJM311 genome and characterized the structural variations (SVs) therein. We discovered that the genome of YJM311 contains significant intragenomic structural variation, some of which imparts notable consequences to the genomic stability and developmental biology of the strain. Collectively, we outline a new methodology for creating accurate haplotype-phased genome assemblies and highlight how such genomic analyses can define the structural architectures of S. cerevisiae isolates. It is our hope that continued structural characterization of S. cerevisiae genomes, such as we have reported here for YJM311, will comprehensively advance our understanding of eukaryotic genome structure-function relationships, structural genomic diversity, and evolution.
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Affiliation(s)
- Lydia R Heasley
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Juan Lucas Argueso
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
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9
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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, MD.) 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] [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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10
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Hanson SJ, Cinnéide EÓ, Salzberg LI, Wolfe KH, McGowan J, Fitzpatrick DA, Matlin K. Genomic diversity, chromosomal rearrangements, and interspecies hybridization in the Ogataea polymorpha species complex. G3 (BETHESDA, MD.) 2021; 11:jkab211. [PMID: 34849824 PMCID: PMC8496258 DOI: 10.1093/g3journal/jkab211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/11/2021] [Indexed: 11/13/2022]
Abstract
The methylotrophic yeast Ogataea polymorpha has long been a useful system for recombinant protein production, as well as a model system for methanol metabolism, peroxisome biogenesis, thermotolerance, and nitrate assimilation. It has more recently become an important model for the evolution of mating-type switching. Here, we present a population genomics analysis of 47 isolates within the O. polymorpha species complex, including representatives of the species O. polymorpha, Ogataea parapolymorpha, Ogataea haglerorum, and Ogataea angusta. We found low levels of nucleotide sequence diversity within the O. polymorpha species complex and identified chromosomal rearrangements both within and between species. In addition, we found that one isolate is an interspecies hybrid between O. polymorpha and O. parapolymorpha and present evidence for loss of heterozygosity following hybridization.
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Affiliation(s)
- Sara J Hanson
- Department of Molecular Biology, Colorado College, Colorado Springs, CO 80903, USA
| | - Eoin Ó Cinnéide
- School of Medicine, UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Letal I Salzberg
- School of Medicine, UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Kenneth H Wolfe
- School of Medicine, UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Jamie McGowan
- Genome Evolution Laboratory, Department of Biology, Maynooth University, Maynooth, Ireland
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Ireland
| | - David A Fitzpatrick
- Genome Evolution Laboratory, Department of Biology, Maynooth University, Maynooth, Ireland
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Ireland
| | - Kate Matlin
- Department of Molecular Biology, Colorado College, Colorado Springs, CO 80903, USA
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11
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Minebois R, Lairón-Peris M, Barrio E, Pérez-Torrado R, Querol A. Metabolic differences between a wild and a wine strain of Saccharomyces cerevisiae during fermentation unveiled by multi-omic analysis. Environ Microbiol 2021; 23:3059-3076. [PMID: 33848053 DOI: 10.1111/1462-2920.15523] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/30/2021] [Accepted: 04/08/2021] [Indexed: 12/13/2022]
Abstract
Saccharomyces cerevisiae, a widespread yeast present both in the wild and in fermentative processes, like winemaking. During the colonization of these human-associated fermentative environments, certain strains of S. cerevisiae acquired differential adaptive traits that enhanced their physiological properties to cope with the challenges imposed by these new ecological niches. The advent of omics technologies allowed unveiling some details of the molecular bases responsible for the peculiar traits of S. cerevisiae wine strains. However, the metabolic diversity within yeasts remained poorly explored, in particular that existing between wine and wild strains of S. cerevisiae. For this purpose, we performed a dual transcriptomic and metabolomic comparative analysis between a wild and a wine S. cerevisiae strains during wine fermentations performed at high and low temperatures. By using this approach, we could correlate the differential expression of genes involved in metabolic pathways, such as sulfur, arginine and thiamine metabolisms, with differences in the amounts of key metabolites that can explain some important differences in the fermentation performance between the wine and wild strains.
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Affiliation(s)
- Romain Minebois
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, E-46980, Spain
| | - María Lairón-Peris
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, E-46980, Spain
| | - Eladio Barrio
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, E-46980, Spain.,Departament de Genètica, Universitat de València, C/Doctor Moliner, 50, Burjassot, Valencia, E-46100, Spain
| | - Roberto Pérez-Torrado
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, E-46980, Spain
| | - Amparo Querol
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, E-46980, Spain
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12
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Mardones W, Villarroel CA, Abarca V, Urbina K, Peña TA, Molinet J, Nespolo RF, Cubillos FA. Rapid selection response to ethanol in Saccharomyces eubayanus emulates the domestication process under brewing conditions. Microb Biotechnol 2021; 15:967-984. [PMID: 33755311 PMCID: PMC8913853 DOI: 10.1111/1751-7915.13803] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/01/2021] [Accepted: 03/07/2021] [Indexed: 01/02/2023] Open
Abstract
Although the typical genomic and phenotypic changes that characterize the evolution of organisms under the human domestication syndrome represent textbook examples of rapid evolution, the molecular processes that underpin such changes are still poorly understood. Domesticated yeasts for brewing, where short generation times and large phenotypic and genomic plasticity were attained in a few generations under selection, are prime examples. To experimentally emulate the lager yeast domestication process, we created a genetically complex (panmictic) artificial population of multiple Saccharomyces eubayanus genotypes, one of the parents of lager yeast. Then, we imposed a constant selection regime under a high ethanol concentration in 10 replicated populations during 260 generations (6 months) and compared them with propagated controls exposed solely to glucose. Propagated populations exhibited a selection differential of 60% in growth rate in ethanol, mostly explained by the proliferation of a single lineage (CL248.1) that competitively displaced all other clones. Interestingly, the outcome does not require the entire time‐course of adaptation, as four lineages monopolized the culture at generation 120. Sequencing demonstrated that de novo genetic variants were produced in all propagated lines, including SNPs, aneuploidies, INDELs and translocations. In addition, the different propagated populations showed correlated responses resembling the domestication syndrome: genomic rearrangements, faster fermentation rates, lower production of phenolic off‐flavours and lower volatile compound complexity. Expression profiling in beer wort revealed altered expression levels of genes related to methionine metabolism, flocculation, stress tolerance and diauxic shift, likely contributing to higher ethanol and fermentation stress tolerance in the evolved populations. Our study shows that experimental evolution can rebuild the brewing domestication process in ‘fast motion’ in wild yeast, and also provides a powerful tool for studying the genetics of the adaptation process in complex populations.
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Affiliation(s)
- Wladimir Mardones
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
| | - Carlos A Villarroel
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
| | - Valentina Abarca
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
| | - Kamila Urbina
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
| | - Tomás A Peña
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
| | - Jennifer Molinet
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
| | - Roberto F Nespolo
- Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile.,Institute of Environmental and Evolutionary Science, Universidad Austral de Chile, Valdivia, 5110566, Chile.,Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Francisco A Cubillos
- Facultad de Química y Biología, Departamento de Biología, Universidad de Santiago de Chile, Santiago, 9170022, Chile.,Millennium Institute for Integrative Biology (iBio), ANID - Millennium Science Initiative Program, Santiago, 7500574, Chile
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13
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Álvarez-Pérez S, Dhami MK, Pozo MI, Crauwels S, Verstrepen KJ, Herrera CM, Lievens B, Jacquemyn H. Genetic admixture increases phenotypic diversity in the nectar yeast Metschnikowia reukaufii. FUNGAL ECOL 2021. [DOI: 10.1016/j.funeco.2020.101016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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14
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Nguyen THM, Sondhi S, Ziesel A, Paliwal S, Fiumera HL. Mitochondrial-nuclear coadaptation revealed through mtDNA replacements in Saccharomyces cerevisiae. BMC Evol Biol 2020; 20:128. [PMID: 32977769 PMCID: PMC7517635 DOI: 10.1186/s12862-020-01685-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 09/07/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mitochondrial function requires numerous genetic interactions between mitochondrial- and nuclear- encoded genes. While selection for optimal mitonuclear interactions should result in coevolution between both genomes, evidence for mitonuclear coadaptation is challenging to document. Genetic models where mitonuclear interactions can be explored are needed. RESULTS We systematically exchanged mtDNAs between 15 Saccharomyces cerevisiae isolates from a variety of ecological niches to create 225 unique mitochondrial-nuclear genotypes. Analysis of phenotypic profiles confirmed that environmentally-sensitive interactions between mitochondrial and nuclear genotype contributed to growth differences. Exchanges of mtDNAs between strains of the same or different clades were just as likely to demonstrate mitonuclear epistasis although epistatic effect sizes increased with genetic distances. Strains with their original mtDNAs were more fit than strains with synthetic mitonuclear combinations when grown in media that resembled isolation habitats. CONCLUSIONS This study shows that natural variation in mitonuclear interactions contributes to fitness landscapes. Multiple examples of coadapted mitochondrial-nuclear genotypes suggest that selection for mitonuclear interactions may play a role in helping yeasts adapt to novel environments and promote coevolution.
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Affiliation(s)
- Tuc H M Nguyen
- Department of Biological Sciences, Binghamton University, Binghamton, NY, USA
| | - Sargunvir Sondhi
- Department of Biological Sciences, Binghamton University, Binghamton, NY, USA
| | - Andrew Ziesel
- Department of Biological Sciences, Binghamton University, Binghamton, NY, USA
| | - Swati Paliwal
- Department of Bioscience and Biotechnology, Banasthali Vidyapith, Rajasthan, India
| | - Heather L Fiumera
- Department of Biological Sciences, Binghamton University, Binghamton, NY, USA.
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15
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Perpetuini G, Tittarelli F, Battistelli N, Suzzi G, Tofalo R. γ‐aminobutyric acid production by
Kluyveromyces marxianus
strains. J Appl Microbiol 2020; 129:1609-1619. [DOI: 10.1111/jam.14736] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 05/26/2020] [Accepted: 05/31/2020] [Indexed: 12/24/2022]
Affiliation(s)
- G. Perpetuini
- Faculty of BioScience and Technology for Food, Agriculture and Environment University of Teramo Teramo Italy
| | - F. Tittarelli
- Faculty of BioScience and Technology for Food, Agriculture and Environment University of Teramo Teramo Italy
| | - N. Battistelli
- Faculty of BioScience and Technology for Food, Agriculture and Environment University of Teramo Teramo Italy
| | - G. Suzzi
- Faculty of BioScience and Technology for Food, Agriculture and Environment University of Teramo Teramo Italy
| | - R. Tofalo
- Faculty of BioScience and Technology for Food, Agriculture and Environment University of Teramo Teramo Italy
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16
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Payen C, Thompson D. The renaissance of yeasts as microbial factories in the modern age of biomanufacturing. Yeast 2019; 36:685-700. [DOI: 10.1002/yea.3439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/09/2019] [Accepted: 08/04/2019] [Indexed: 12/18/2022] Open
Affiliation(s)
- Celia Payen
- DuPont Nutrition and Biosciences Wilmington Delaware
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17
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Fournier T, Abou Saada O, Hou J, Peter J, Caudal E, Schacherer J. Extensive impact of low-frequency variants on the phenotypic landscape at population-scale. eLife 2019; 8:49258. [PMID: 31647416 PMCID: PMC6892612 DOI: 10.7554/elife.49258] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 10/23/2019] [Indexed: 12/14/2022] Open
Abstract
Genome-wide association studies (GWAS) allow to dissect complex traits and map genetic variants, which often explain relatively little of the heritability. One potential reason is the preponderance of undetected low-frequency variants. To increase their allele frequency and assess their phenotypic impact in a population, we generated a diallel panel of 3025 yeast hybrids, derived from pairwise crosses between natural isolates and examined a large number of traits. Parental versus hybrid regression analysis showed that while most phenotypic variance is explained by additivity, a third is governed by non-additive effects, with complete dominance having a key role. By performing GWAS on the diallel panel, we found that associated variants with low frequency in the initial population are overrepresented and explain a fraction of the phenotypic variance as well as an effect size similar to common variants. Overall, we highlighted the relevance of low-frequency variants on the phenotypic variation.
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Affiliation(s)
- Téo Fournier
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jing Hou
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Jackson Peter
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Elodie Caudal
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
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18
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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] [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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19
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Jakobson CM, She R, Jarosz DF. Pervasive function and evidence for selection across standing genetic variation in S. cerevisiae. Nat Commun 2019; 10:1222. [PMID: 30874558 PMCID: PMC6420628 DOI: 10.1038/s41467-019-09166-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Accepted: 02/21/2019] [Indexed: 02/06/2023] Open
Abstract
Quantitative genetics aims to map genotype to phenotype, often with the goal of understanding how organisms evolved. However, it remains unclear whether the genetic variants identified are exemplary of evolution. Here we analyzed progeny of two wild Saccharomyces cerevisiae isolates to identify 195 loci underlying complex metabolic traits, resolving 107 to single polymorphisms with diverse molecular mechanisms. More than 20% of causal variants exhibited patterns of emergence inconsistent with neutrality. Moreover, contrary to drift-centric expectation, variation in diverse wild yeast isolates broadly exhibited this property: over 30% of shared natural variants exhibited phylogenetic signatures suggesting that they are not neutral. This pattern is likely attributable to both homoplasy and balancing selection on ancestral polymorphism. Variants that emerged repeatedly were more likely to have done so in isolates from the same ecological niche. Our results underscore the power of super-resolution mapping of ecologically relevant traits in understanding adaptation and evolution.
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Affiliation(s)
- Christopher M Jakobson
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Richard She
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Daniel F Jarosz
- Department of Chemical & Systems Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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20
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Fairhead C, Fischer G, Liti G, Neuvéglise C, Schacherer J. André Goffeau's imprinting on second generation yeast "genomologists". Yeast 2019; 36:167-175. [PMID: 30645763 DOI: 10.1002/yea.3377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 11/21/2018] [Accepted: 01/07/2019] [Indexed: 12/31/2022] Open
Abstract
All authors of the present paper have worked in labs that participated to the sequencing effort of the Saccharomyces cerevisiae reference genome, and we owe to this the fact that we have all chosen to work on genomics of yeasts. S. cerevisiae has been a popular model species for genetics since the 20th century as well as being a model for general eukaryotic cellular processes. Although it has also been used empirically in fermentation for millennia, there was until recently, a lack of knowledge about the natural and evolutionary history of this yeast. The achievement of the international effort to sequence its genome was the foundation for understanding many eukaryotic biological processes but also represented the first step towards the study of the genome and ecological diversity of yeast populations worldwide. We will describe recent advances in yeast comparative and population genomics that find their origins in the S. cerevisiae genome project initiated and pursued by André Goffeau.
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Affiliation(s)
- Cécile Fairhead
- UMR Génétique Quantitative et Evolution - Le Moulon, INRA - Université Paris-Sud - CNRS - AgroParisTech, Orsay, France
| | - Gilles Fischer
- Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Sorbonne Université, CNRS, Paris, France
| | - Gianni Liti
- INSERM, IRCAN, Université Côte d'Azur, CNRS, Nice, France
| | - Cécile Neuvéglise
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Joseph Schacherer
- UMR 7156 Génétique Moléculaire, Génomique, Microbiologie, Université de Strasbourg, CNRS, Strasbourg, France
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21
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Allen JL, McKenzie SK, Sleith RS, Alter SE. First genome-wide analysis of the endangered, endemic lichen Cetradonia linearis reveals isolation by distance and strong population structure. AMERICAN JOURNAL OF BOTANY 2018; 105:1556-1567. [PMID: 30157288 DOI: 10.1002/ajb2.1150] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 06/14/2018] [Indexed: 06/08/2023]
Abstract
PREMISE OF THE STUDY Lichenized fungi are evolutionarily diverse and ecologically important, but little is known about the processes that drive their diversification and genetic differentiation. Distributions are often assumed to be wholly shaped by ecological requirements rather than dispersal limitations. Furthermore, although asexual and sexual reproductive structures are observable, the lack of information about recombination rates makes inferences about reproductive strategies difficult. We investigated the population genomics of Cetradonia linearis, a federally endangered lichen in the southern Appalachians of eastern North America, to test the relative contributions of environmental and geographic distance in shaping genetic structure, and to characterize the mating system and genome-wide recombination. METHODS Whole-genome shotgun sequencing was conducted to generate data for 32 individuals of C. linearis. A reference genome was assembled, and reads from all samples were aligned to generate a set of single-nucleotide polymorphisms for further analyses. KEY RESULTS We found evidence for low rates of recombination and for isolation by distance, but not for isolation by environment. The species is putatively unisexual, given that only one mating-type locus was found. Hindcast species distribution models and the distribution of genetic diversity support C. linearis having a larger range during the Last Glacial Maximum in the southern portion of its current extent. CONCLUSIONS Our findings contribute to the understanding of factors that shape genetic diversity in C. linearis and in fungi more broadly. Because all populations are highly genetically differentiated, the extirpation of any population would mean the loss of unique genetic diversity; therefore, our results support the continued conservation of this species.
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Affiliation(s)
- Jessica L Allen
- The New York Botanical Garden, 2900 Southern Blvd., Bronx, New York, 10458, USA
- The Graduate Center, City University of New York, 365 5th Avenue, New York, New York, 10016, USA
| | - Sean K McKenzie
- Rockefeller University, 1230 York Avenue, New York, New York, 10065, USA
| | - Robin S Sleith
- The New York Botanical Garden, 2900 Southern Blvd., Bronx, New York, 10458, USA
- The Graduate Center, City University of New York, 365 5th Avenue, New York, New York, 10016, USA
| | - S Elizabeth Alter
- The Graduate Center, City University of New York, 365 5th Avenue, New York, New York, 10016, USA
- Biology Department, York College, 94-20 Guy R Brewer Blvd., Jamaica, New York, 11451, USA
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22
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Abstract
The first eukaryotic genome to be sequenced was fungal, and there continue to be more sequenced genomes in the kingdom Fungi than in any other eukaryotic kingdom. Comparison of these genomes reveals many sources of genetic variation, from single nucleotide polymorphisms to horizontal gene transfer and on to changes in the arrangement and number of chromosomes, not to mention endofungal bacteria and viruses. Population genomics shows that all sources generate variation all the time and implicate natural selection as the force maintaining genome stability. Variation in wild populations is a rich resource for associating genetic variation with phenotypic variation, whether through quantitative trait locus mapping, genome-wide association studies, or reverse ecology. Subjects of studies associating genetic and phenotypic variation include model fungi, e.g., Saccharomyces and Neurospora, but pioneering studies have also been made with fungi pathogenic to plants, e.g., Pyricularia (= Magnaporthe), Zymoseptoria, and Fusarium, and to humans, e.g., Coccidioides, Cryptococcus, and Candida.
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23
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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: 591] [Impact Index Per Article: 98.5] [Reference Citation Analysis] [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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24
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O'Grady P, DeSalle R. Hawaiian Drosophila as an Evolutionary Model Clade: Days of Future Past. Bioessays 2018; 40:e1700246. [PMID: 29603298 DOI: 10.1002/bies.201700246] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 01/31/2018] [Indexed: 12/22/2022]
Abstract
The Hawaiian Drosophila have been a model system for evolutionary, ecological, and ethological studies since the inception of the Hawaiian Drosophila Project in the 1960s. Here we review the past and present research on this incredible lineage and provide a prospectus for future directions on genomics and microbial interactions. While the number of publications on this group has waxed and waned over the years, we assert that recent systematic, biogeographic, and ecological studies have reinvigorated Hawaiian Drosophila as an evolutionary model system. The characteristics that distinguish good model clades from good model organisms (e.g., Drosophila melanogaster) are somewhat different so we first define what constitutes a good evolutionary model. We argue that the Hawaiian Drosophila possess many desired aspects of a good evolutionary model, describe how this group of geographically isolated flies have been used in the past, and propose some exciting avenues for future evolutionary research on this diverse, dynamic clade of Drosophila.
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Affiliation(s)
- Patrick O'Grady
- Department of Entomology, Cornell University, Ithaca, NY 14456, USA
| | - Rob DeSalle
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA
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Ortiz-Merino RA, Varela JA, Coughlan AY, Hoshida H, da Silveira WB, Wilde C, Kuijpers NGA, Geertman JM, Wolfe KH, Morrissey JP. Ploidy Variation in Kluyveromyces marxianus Separates Dairy and Non-dairy Isolates. Front Genet 2018; 9:94. [PMID: 29619042 PMCID: PMC5871668 DOI: 10.3389/fgene.2018.00094] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 03/05/2018] [Indexed: 11/20/2022] Open
Abstract
Kluyveromyces marxianus is traditionally associated with fermented dairy products, but can also be isolated from diverse non-dairy environments. Because of thermotolerance, rapid growth and other traits, many different strains are being developed for food and industrial applications but there is, as yet, little understanding of the genetic diversity or population genetics of this species. K. marxianus shows a high level of phenotypic variation but the only phenotype that has been clearly linked to a genetic polymorphism is lactose utilisation, which is controlled by variation in the LAC12 gene. The genomes of several strains have been sequenced in recent years and, in this study, we sequenced a further nine strains from different origins. Analysis of the Single Nucleotide Polymorphisms (SNPs) in 14 strains was carried out to examine genome structure and genetic diversity. SNP diversity in K. marxianus is relatively high, with up to 3% DNA sequence divergence between alleles. It was found that the isolates include haploid, diploid, and triploid strains, as shown by both SNP analysis and flow cytometry. Diploids and triploids contain long genomic tracts showing loss of heterozygosity (LOH). All six isolates from dairy environments were diploid or triploid, whereas 6 out 7 isolates from non-dairy environment were haploid. This also correlated with the presence of functional LAC12 alleles only in dairy haplotypes. The diploids were hybrids between a non-dairy and a dairy haplotype, whereas triploids included three copies of a dairy haplotype.
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Affiliation(s)
- Raúl A Ortiz-Merino
- School of Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Javier A Varela
- School of Microbiology, Centre for Synthetic Biology and Biotechnology, Environmental Research Institute, APC Microbiome Institute, University College Cork, Cork, Ireland
| | - Aisling Y Coughlan
- School of Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Hisashi Hoshida
- Department of Applied Chemistry, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi, Japan
| | | | | | | | | | - Kenneth H Wolfe
- School of Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - John P Morrissey
- School of Microbiology, Centre for Synthetic Biology and Biotechnology, Environmental Research Institute, APC Microbiome Institute, University College Cork, Cork, Ireland
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26
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Jeffares DC. The natural diversity and ecology of fission yeast. Yeast 2018; 35:253-260. [PMID: 29084364 DOI: 10.1002/yea.3293] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 10/12/2017] [Accepted: 10/13/2017] [Indexed: 12/17/2022] Open
Abstract
While the fission yeast is a powerful model of eukaryote biology, there have been few studies of quantitative genetics, phenotypic or genetic diversity. Here I survey the small collection of fission yeast diversity research. I discuss what we can infer about the ecology and origins of Schizosaccharomyces pombe from microbiology field studies and the few strains that have been collected.
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Affiliation(s)
- Daniel C Jeffares
- Department of Biology, University of York, Wentworth Way, York, YO10 5DD, UK
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27
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High-Quality de Novo Genome Assembly of the Dekkera bruxellensis Yeast Using Nanopore MinION Sequencing. G3-GENES GENOMES GENETICS 2017; 7:3243-3250. [PMID: 28983066 PMCID: PMC5633375 DOI: 10.1534/g3.117.300128] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Genetic variation in natural populations represents the raw material for phenotypic diversity. Species-wide characterization of genetic variants is crucial to have a deeper insight into the genotype-phenotype relationship. With the advent of new sequencing strategies and more recently the release of long-read sequencing platforms, it is now possible to explore the genetic diversity of any nonmodel organisms, representing a fundamental resource for biological research. In the frame of population genomic surveys, a first step is to obtain the complete sequence and high-quality assembly of a reference genome. Here, we sequenced and assembled a reference genome of the nonconventional Dekkera bruxellensis yeast. While this species is a major cause of wine spoilage, it paradoxically contributes to the specific flavor profile of some Belgium beers. In addition, an extreme karyotype variability is observed across natural isolates, highlighting that D. bruxellensis genome is very dynamic. The whole genome of the D. bruxellensis UMY321 isolate was sequenced using a combination of Nanopore long-read and Illumina short-read sequencing data. We generated the most complete and contiguous de novo assembly of D. bruxellensis to date and obtained a first glimpse into the genomic variability within this species by comparing the sequences of several isolates. This genome sequence is therefore of high value for population genomic surveys and represents a reference to study genome dynamic in this yeast species.
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28
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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] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 11/15/2016] [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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Gayevskiy V, Lee S, Goddard MR. European derived Saccharomyces cerevisiae colonisation of New Zealand vineyards aided by humans. FEMS Yeast Res 2016; 16:fow091. [PMID: 27744274 PMCID: PMC5094284 DOI: 10.1093/femsyr/fow091] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2016] [Indexed: 12/16/2022] Open
Abstract
Humans have acted as vectors for species and expanded their ranges since at least the dawn of agriculture. While relatively well characterised for macrofauna and macroflora, the extent and dynamics of human-aided microbial dispersal is poorly described. We studied the role which humans have played in manipulating the distribution of Saccharomyces cerevisiae, one of the world's most important microbes, using whole genome sequencing. We include 52 strains representative of the diversity in New Zealand to the global set of genomes for this species. Phylogenomic approaches show an exclusively European origin of the New Zealand population, with a minimum of 10 founder events mostly taking place over the last 1000 years. Our results show that humans have expanded the range of S. cerevisiae and transported it to New Zealand where it was not previously present, where it has now become established in vineyards, but radiation to native forests appears limited. Genome sequencing shows that humans have unwittingly transported wine yeast to the other side of the planet, where this species has become established in vineyards.
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Affiliation(s)
- Velimir Gayevskiy
- School of Biological Sciences, The University of Auckland, Auckland 1142, New Zealand
| | - Soon Lee
- School of Biological Sciences, The University of Auckland, Auckland 1142, New Zealand
| | - Matthew R Goddard
- School of Biological Sciences, The University of Auckland, Auckland 1142, New Zealand The School of Life Sciences, The University of Lincoln, Lincoln LN6 7DL, UK
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30
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Whole Genome Analysis of 132 Clinical Saccharomyces cerevisiae Strains Reveals Extensive Ploidy Variation. G3-GENES GENOMES GENETICS 2016; 6:2421-34. [PMID: 27317778 PMCID: PMC4978896 DOI: 10.1534/g3.116.029397] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Budding yeast has undergone several independent transitions from commercial to clinical lifestyles. The frequency of such transitions suggests that clinical yeast strains are derived from environmentally available yeast populations, including commercial sources. However, despite their important role in adaptive evolution, the prevalence of polyploidy and aneuploidy has not been extensively analyzed in clinical strains. In this study, we have looked for patterns governing the transition to clinical invasion in the largest screen of clinical yeast isolates to date. In particular, we have focused on the hypothesis that ploidy changes have influenced adaptive processes. We sequenced 144 yeast strains, 132 of which are clinical isolates. We found pervasive large-scale genomic variation in both overall ploidy (34% of strains identified as 3n/4n) and individual chromosomal copy numbers (36% of strains identified as aneuploid). We also found evidence for the highly dynamic nature of yeast genomes, with 35 strains showing partial chromosomal copy number changes and eight strains showing multiple independent chromosomal events. Intriguingly, a lineage identified to be baker's/commercial derived with a unique damaging mutation in NDC80 was particularly prone to polyploidy, with 83% of its members being triploid or tetraploid. Polyploidy was in turn associated with a >2× increase in aneuploidy rates as compared to other lineages. This dataset provides a rich source of information on the genomics of clinical yeast strains and highlights the potential importance of large-scale genomic copy variation in yeast adaptation.
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31
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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] [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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Abstract
Elucidating the underlying rules that govern the phenotypic diversity observed in natural populations is an old but still unaccomplished goal in biology. In 1865, Gregor Mendel paved the way for the dissection of the underlying genetic basis of traits by setting out to understand the principles of heredity. To date, we still lack a global overview of the spectrum and continuum existing between Mendelian and complex traits within any natural population. In this respect, we recently performed a species-wide survey of Mendelian traits across a large population of isolates using the yeast Saccharomyces cerevisiae. By analyzing the distribution and the inheritance patterns of the trait, we have clearly shown that monogenic mutations can display a significant, variable, and continuous expressivity across different genetic backgrounds. Our study also demonstrated that combining the elegancy of both classical genetics and high-throughput genomics is more than valuable to dissect the genotype-phenotype relationship in natural populations.
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Affiliation(s)
- Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, Université de Strasbourg, CNRS, UMR7156, Strasbourg, France.
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33
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Cubillos FA. Exploiting budding yeast natural variation for industrial processes. Curr Genet 2016; 62:745-751. [PMID: 27085523 DOI: 10.1007/s00294-016-0602-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 04/04/2016] [Accepted: 04/06/2016] [Indexed: 02/06/2023]
Abstract
For the last two decades, the natural variation of the yeast Saccharomyces cerevisiae has been massively exploited with the aim of understanding ecological and evolutionary processes. As a result, many new genetic variants have been uncovered, providing a large catalogue of alleles underlying complex traits. These alleles represent a rich genetic resource with the potential to provide new strains that can cope with the growing demands of industrial fermentation processes. When surveyed in detail, several of these variants have proven useful in wine and beer industries by improving nitrogen utilisation, fermentation kinetics, ethanol production, sulphite resistance and aroma production. Here, I illustrate how allele-specific expression and polymorphisms within the coding region of GDB1 underlie fermentation kinetic differences in synthetic wine must. Nevertheless, the genetic basis of how GDB1 variants and other natural alleles interact in foreign genetic backgrounds remains unclear. Further studies in large sets of strains, recombinant hybrids and multiple parental pairs will broaden our knowledge of the molecular and genetic basis of trait adaptation for utilisation in applied and industrial processes.
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Affiliation(s)
- Francisco A Cubillos
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile. .,Millennium Nucleus for Fungal Integrative and Synthetic Biology (MN-FISB), Santiago, Chile. .,Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago, Chile.
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34
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Large-Scale Survey of Intraspecific Fitness and Cell Morphology Variation in a Protoploid Yeast Species. G3-GENES GENOMES GENETICS 2016; 6:1063-71. [PMID: 26888866 PMCID: PMC4825641 DOI: 10.1534/g3.115.026682] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
It is now clear that the exploration of the genetic and phenotypic diversity of nonmodel species greatly improves our knowledge in biology. In this context, we recently launched a population genomic analysis of the protoploid yeast Lachancea kluyveri (formerly Saccharomyces kluyveri), highlighting a broad genetic diversity (π = 17 × 10−3) compared to the yeast model organism, S. cerevisiae (π = 4 × 10−3). Here, we sought to generate a comprehensive view of the phenotypic diversity in this species. In total, 27 natural L. kluyveri isolates were subjected to trait profiling using the following independent approaches: (i) analyzing growth in 55 growth conditions and (ii) investigating 501 morphological changes at the cellular level. Despite higher genetic diversity, the fitness variance observed in L. kluyveri is lower than that in S. cerevisiae. However, morphological features show an opposite trend. In addition, there is no correlation between the origins (ecological or geographical) of the isolate and the phenotypic patterns, demonstrating that trait variation follows neither population history nor source environment in L. kluyveri. Finally, pairwise comparisons between growth rate correlation and genetic diversity show a clear decrease in phenotypic variability linked to genome variation increase, whereas no such a trend was identified for morphological changes. Overall, this study reveals for the first time the phenotypic diversity of a distantly related species to S. cerevisiae. Given its genetic properties, L. kluyveri might be useful in further linkage mapping analyses of complex traits, and could ultimately provide a better insight into the evolution of the genotype–phenotype relationship across yeast species.
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