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Mozzachiodi S, Bai FY, Baldrian P, Bell G, Boundy-Mills K, Buzzini P, Čadež N, Riffo FC, Dashko S, Dimitrov R, Fisher KJ, Gibson BR, Gouliamova D, Greig D, Heistinger L, Hittinger CT, Jecmenica M, Koufopanou V, Landry CR, Mašínová T, Naumova ES, Opulente D, Peña JJ, Petrovič U, Tsai IJ, Turchetti B, Villarreal P, Yurkov A, Liti G, Boynton P. Yeasts from temperate forests. Yeast 2022; 39:4-24. [PMID: 35146791 DOI: 10.1002/yea.3699] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Yeasts are ubiquitous in temperate forests. While this broad habitat is well-defined, the yeasts inhabiting it and their life cycles, niches, and contributions to ecosystem functioning are less understood. Yeasts are present on nearly all sampled substrates in temperate forests worldwide. They associate with soils, macroorganisms, and other habitats, and no doubt contribute to broader ecosystem-wide processes. Researchers have gathered information leading to hypotheses about yeasts' niches and their life cycles based on physiological observations in the laboratory as well as genomic analyses, but the challenge remains to test these hypotheses in the forests themselves. Here we summarize the habitat and global patterns of yeast diversity, give some information on a handful of well-studied temperate forest yeast genera, discuss the various strategies to isolate forest yeasts, and explain temperate forest yeasts' contributions to biotechnology. We close with a summary of the many future directions and outstanding questions facing researchers in temperate forest yeast ecology. Yeasts present an exciting opportunity to better understand the hidden world of microbial ecology in this threatened and global habitat.
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Affiliation(s)
| | - Feng-Yan Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Petr Baldrian
- Laboratory of Environmental Microbiology, Institute of Microbiology of the Czech Academy of Sciences, Praha 4, Czech Republic
| | - Graham Bell
- Biology Department and Redpath Museum, McGill University, Québec, Canada
| | - Kyria Boundy-Mills
- Department of Food Science and Technology, University of California Davis, Davis, CA, USA
| | - Pietro Buzzini
- Department of Agriculture, Food and Environmental Sciences & Industrial Yeasts Collection DBVPG, University of Perugia, Italy
| | - Neža Čadež
- Biotechnical Faculty, Food Science and Technology Department, University of Ljubljana, Ljubljana, Slovenia
| | - Francisco Cubillos Riffo
- Universidad de Santiago de Chile, Facultad de Química y Biología, Departamento de Biología, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Sofia Dashko
- DSM Food Specialties, Center for Food Innovation, AX, Delft, The Netherlands
| | - Roumen Dimitrov
- Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Kaitlin J Fisher
- Laboratory of Genetics, Wisconsin Energy Institute, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, USA
| | - Brian R Gibson
- Technische Universität Berlin, Institute of Food Technology and Food Chemistry, Chair of Brewing and Beverage Technology, Berlin, Germany
| | - Dilnora Gouliamova
- Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Duncan Greig
- Centre for Life's Origins and Evolution, University College London, London, UK
| | - Lina Heistinger
- ETH Zurich, Department of Biology, Institute of Biochemistry, Switzerland
| | - Chris Todd Hittinger
- Laboratory of Genetics, Wisconsin Energy Institute, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Christian R Landry
- Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, Canada.,Institut de Biologie Intégrative et des Systèmes, Université Laval, Canada.,PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, Canada.,Centre de Recherche sur les Données Massives, Université Laval, Canada.,Département de Biologie, Faculté des Sciences et de Génie, Université Laval, Canada
| | - Tereza Mašínová
- Laboratory of Environmental Microbiology, Institute of Microbiology of the Czech Academy of Sciences, Praha 4, Czech Republic
| | - Elena S Naumova
- State Research Institute of Genetics and Selection of Industrial Microorganisms of National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Dana Opulente
- Department of Biology, Villanova University, Villanova, Pennsylvania, USA
| | | | - Uroš Petrovič
- Biotechnical Faculty, Department of Biology, University of Ljubljana, Ljubljana, Slovenia.,Jožef Stefan Institute, Department of Molecular and Biomedical Sciences, Ljubljana, Slovenia
| | | | - Benedetta Turchetti
- Department of Agriculture, Food and Environmental Sciences & Industrial Yeasts Collection DBVPG, University of Perugia, Italy
| | - Pablo Villarreal
- Universidad de Santiago de Chile, Facultad de Química y Biología, Departamento de Biología, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Andrey Yurkov
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
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2
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Boynton PJ, Wloch‐Salamon D, Landermann D, Stukenbrock EH. Forest Saccharomyces paradoxus are robust to seasonal biotic and abiotic changes. Ecol Evol 2021; 11:6604-6619. [PMID: 34141244 PMCID: PMC8207440 DOI: 10.1002/ece3.7515] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 02/25/2021] [Accepted: 03/16/2021] [Indexed: 01/02/2023] Open
Abstract
Microorganisms are famous for adapting quickly to new environments. However, most evidence for rapid microbial adaptation comes from laboratory experiments or domesticated environments, and it is unclear how rates of adaptation scale from human-influenced environments to the great diversity of wild microorganisms. We examined potential monthly-scale selective pressures in the model forest yeast Saccharomyces paradoxus. Contrary to expectations of seasonal adaptation, the S. paradoxus population was stable over four seasons in the face of abiotic and biotic environmental changes. While the S. paradoxus population was diverse, including 41 unique genotypes among 192 sampled isolates, there was no correlation between S. paradoxus genotypes and seasonal environments. Consistent with observations from other S. paradoxus populations, the forest population was highly clonal and inbred. This lack of recombination, paired with population stability, implies that selection is not acting on the forest S. paradoxus population on a seasonal timescale. Saccharomyces paradoxus may instead have evolved generalism or phenotypic plasticity with regard to seasonal environmental changes long ago. Similarly, while the forest population included diversity among phenotypes related to intraspecific interference competition, there was no evidence for active coevolution among these phenotypes. At least ten percent of the forest S. paradoxus individuals produced "killer toxins," which kill sensitive Saccharomyces cells, but the presence of a toxin-producing isolate did not predict resistance to the toxin among nearby isolates. How forest yeasts acclimate to changing environments remains an open question, and future studies should investigate the physiological responses that allow microbial cells to cope with environmental fluctuations in their native habitats.
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Affiliation(s)
- Primrose J. Boynton
- Biology DepartmentWheaton CollegeNortonMAUSA
- Environmental Genomics Research GroupMax‐Planck Institute for Evolutionary BiologyPlönGermany
| | - Dominika Wloch‐Salamon
- Faculty of BiologyInstitute of Environmental SciencesJagiellonian UniversityKrakówPoland
| | - Doreen Landermann
- Environmental Genomics Research GroupMax‐Planck Institute for Evolutionary BiologyPlönGermany
| | - Eva H. Stukenbrock
- Environmental Genomics Research GroupMax‐Planck Institute for Evolutionary BiologyPlönGermany
- Botanical InstituteChristian‐Albrechts UniversitätKielGermany
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3
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Competition experiments in a soil microcosm reveal the impact of genetic and biotic factors on natural yeast populations. ISME JOURNAL 2020; 14:1410-1421. [PMID: 32080356 DOI: 10.1038/s41396-020-0612-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 02/03/2020] [Accepted: 02/07/2020] [Indexed: 02/06/2023]
Abstract
The ability to measure microbial fitness directly in natural conditions and in interaction with other microbes is a challenge that needs to be overcome if we want to gain a better understanding of microbial fitness determinants in nature. Here we investigate the influence of the natural microbial community on the relative fitness of the North American populations SpB, SpC and SpC* of the wild yeast Saccharomyces paradoxus using DNA barcodes and a soil microcosm derived from soil associated with oak trees. We find that variation in fitness among these genetically distinct groups is influenced by the microbial community. Altering the microbial community load and diversity with an irradiation treatment significantly diminishes the magnitude of fitness differences among populations. Our findings suggest that microbial interactions could affect the evolution of yeast lineages in nature by modulating variation in fitness.
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4
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Boynton PJ, Kowallik V, Landermann D, Stukenbrock EH. Quantifying the efficiency and biases of forest Saccharomyces sampling strategies. Yeast 2019; 36:657-668. [PMID: 31348543 DOI: 10.1002/yea.3435] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 07/18/2019] [Accepted: 07/19/2019] [Indexed: 12/12/2022] Open
Abstract
Saccharomyces yeasts are emerging as model organisms for ecology and evolution, and researchers need environmental Saccharomyces isolates to test ecological and evolutionary hypotheses. However, methods for isolating Saccharomyces from nature have not been standardized, and isolation methods may influence the genotypes and phenotypes of studied strains. We compared the effectiveness and potential biases of an established enrichment culturing method against a newly developed direct plating method for isolating forest floor Saccharomyces spp. In a European forest, enrichment culturing was both less successful at isolating Saccharomyces paradoxus per sample collected and less labour intensive per isolated S. paradoxus colony than direct isolation. The two methods sampled similar S. paradoxus diversity: The number of unique genotypes sampled (i.e., genotypic diversity) per S. paradoxus isolate and average growth rates of S. paradoxus isolates did not differ between the two methods, and growth rate variances (i.e., phenotypic diversity) only differed in one of three tested environments. However, enrichment culturing did detect rare Saccharomyces cerevisiae in the forest habitat and also found two S. paradoxus isolates with outlier phenotypes. Our results validate the historically common method of using enrichment culturing to isolate representative collections of environmental Saccharomyces. We recommend that researchers choose a Saccharomyces sampling method based on resources available for sampling and isolate screening. Researchers interested in discovering new Saccharomyces phenotypes or rare Saccharomyces species from natural environments may also have more success using enrichment culturing. We include step-by-step sampling protocols in the supplemental materials.
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Affiliation(s)
- Primrose J Boynton
- Environmental Genomics Research Group, Max-Planck Institute for Evolutionary Biology, Plön, Germany
| | - Vienna Kowallik
- Ecology and Evolution Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
| | - Doreen Landermann
- Environmental Genomics Research Group, Max-Planck Institute for Evolutionary Biology, Plön, Germany
| | - Eva H Stukenbrock
- Environmental Genomics Research Group, Max-Planck Institute for Evolutionary Biology, Plön, Germany.,Botanisches Institut, Christian-Albrechts Universität, Botanisches Institut, Kiel, Germany
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5
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Eberlein C, Hénault M, Fijarczyk A, Charron G, Bouvier M, Kohn LM, Anderson JB, Landry CR. Hybridization is a recurrent evolutionary stimulus in wild yeast speciation. Nat Commun 2019; 10:923. [PMID: 30804385 PMCID: PMC6389940 DOI: 10.1038/s41467-019-08809-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/31/2019] [Indexed: 01/30/2023] Open
Abstract
Hybridization can result in reproductively isolated and phenotypically distinct lineages that evolve as independent hybrid species. How frequently hybridization leads to speciation remains largely unknown. Here we examine the potential recurrence of hybrid speciation in the wild yeast Saccharomyces paradoxus in North America, which comprises two endemic lineages SpB and SpC, and an incipient hybrid species, SpC*. Using whole-genome sequences from more than 300 strains, we uncover the hybrid origin of another group, SpD, that emerged from hybridization between SpC* and one of its parental species, the widespread SpB. We show that SpD has the potential to evolve as a novel hybrid species, because it displays phenotypic novelties that include an intermediate transcriptome profile, and partial reproductive isolation with its most abundant sympatric parental species, SpB. Our findings show that repetitive cycles of divergence and hybridization quickly generate diversity and reproductive isolation, providing the raw material for speciation by hybridization. Hybridization can contribute to diversity from the genomic to the species level. Here, Eberlein, Hénault et al. investigate genomic, transcriptomic and phenotypic variation among wild lineages of the yeast Saccharomyces paradoxus and suggest that an incipient species has formed by recurrent hybridization.
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Affiliation(s)
- Chris Eberlein
- PROTEO, The Quebec Network for Research on Protein Function, Engineering, and Applications, Québec, QC, G1V 0A6, Canada. .,Département de Biologie, Université Laval, Québec, QC, G1V 0A6, Canada. .,Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Ave de la Médecine, Québec, QC, G1V 0A6, Canada. .,Centre de recherche en données massives (CRDM), Université Laval, Québec, QC, G1V 0A6, Canada.
| | - Mathieu Hénault
- PROTEO, The Quebec Network for Research on Protein Function, Engineering, and Applications, Québec, QC, G1V 0A6, Canada.,Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Ave de la Médecine, Québec, QC, G1V 0A6, Canada.,Centre de recherche en données massives (CRDM), Université Laval, Québec, QC, G1V 0A6, Canada.,Département de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Anna Fijarczyk
- PROTEO, The Quebec Network for Research on Protein Function, Engineering, and Applications, Québec, QC, G1V 0A6, Canada.,Département de Biologie, Université Laval, Québec, QC, G1V 0A6, Canada.,Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Ave de la Médecine, Québec, QC, G1V 0A6, Canada.,Centre de recherche en données massives (CRDM), Université Laval, Québec, QC, G1V 0A6, Canada
| | - Guillaume Charron
- PROTEO, The Quebec Network for Research on Protein Function, Engineering, and Applications, Québec, QC, G1V 0A6, Canada.,Département de Biologie, Université Laval, Québec, QC, G1V 0A6, Canada.,Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Ave de la Médecine, Québec, QC, G1V 0A6, Canada.,Centre de recherche en données massives (CRDM), Université Laval, Québec, QC, G1V 0A6, Canada
| | - Matteo Bouvier
- PROTEO, The Quebec Network for Research on Protein Function, Engineering, and Applications, Québec, QC, G1V 0A6, Canada.,Département de Biologie, Université Laval, Québec, QC, G1V 0A6, Canada.,Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Ave de la Médecine, Québec, QC, G1V 0A6, Canada
| | - Linda M Kohn
- Departments of Ecology and Evolutionary Biology and Cell and Systems Biology, University of Toronto Mississauga, 3359 Mississauga Rd, Mississauga, ON, L5L 1C6, Canada
| | - James B Anderson
- Departments of Ecology and Evolutionary Biology and Cell and Systems Biology, University of Toronto Mississauga, 3359 Mississauga Rd, Mississauga, ON, L5L 1C6, Canada
| | - Christian R Landry
- PROTEO, The Quebec Network for Research on Protein Function, Engineering, and Applications, Québec, QC, G1V 0A6, Canada. .,Département de Biologie, Université Laval, Québec, QC, G1V 0A6, Canada. .,Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Ave de la Médecine, Québec, QC, G1V 0A6, Canada. .,Centre de recherche en données massives (CRDM), Université Laval, Québec, QC, G1V 0A6, Canada. .,Département de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec, QC, G1V 0A6, Canada.
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6
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Bensasson D, Dicks J, Ludwig JM, Bond CJ, Elliston A, Roberts IN, James SA. Diverse Lineages of Candida albicans Live on Old Oaks. Genetics 2019; 211:277-288. [PMID: 30463870 PMCID: PMC6325710 DOI: 10.1534/genetics.118.301482] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 11/05/2018] [Indexed: 12/26/2022] Open
Abstract
The human pathogen Candida albicans is considered an obligate commensal of animals, yet it is occasionally isolated from trees, shrubs, and grass. We generated genome sequence data for three strains of C. albicans that we isolated from oak trees in an ancient wood pasture, and compared these to the genomes of over 200 clinical strains. C. albicans strains from oak are similar to clinical C. albicans in that they are predominantly diploid and can become homozygous at the mating locus through whole-chromosome loss of heterozygosity. Oak strains differed from clinical strains in showing slightly higher levels of heterozygosity genome-wide. Using phylogenomic analyses and in silico chromosome painting, we show that each oak strain is more closely related to strains from humans and other animals than to strains from other oaks. The high genetic diversity of C. albicans from old oaks shows that they can live in this environment for extended periods of time.
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Affiliation(s)
- Douda Bensasson
- Department of Plant Biology, University of Georgia, Athens, Georgia 30602
- Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602
| | - Jo Dicks
- National Collection of Yeast Cultures, Quadram Institute Bioscience, Norwich NR4 7UA, UK
| | - John M Ludwig
- Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602
| | - Christopher J Bond
- National Collection of Yeast Cultures, Quadram Institute Bioscience, Norwich NR4 7UA, UK
| | - Adam Elliston
- National Collection of Yeast Cultures, Quadram Institute Bioscience, Norwich NR4 7UA, UK
| | - Ian N Roberts
- National Collection of Yeast Cultures, Quadram Institute Bioscience, Norwich NR4 7UA, UK
| | - Stephen A James
- National Collection of Yeast Cultures, Quadram Institute Bioscience, Norwich NR4 7UA, UK
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7
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Bleuven C, Dubé AK, Nguyen GQ, Gagnon‐Arsenault I, Martin H, Landry CR. A collection of barcoded natural isolates of Saccharomyces paradoxus to study microbial evolutionary ecology. Microbiologyopen 2018; 8:e00773. [PMID: 30569485 PMCID: PMC6612553 DOI: 10.1002/mbo3.773] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 11/05/2018] [Accepted: 11/06/2018] [Indexed: 01/24/2023] Open
Abstract
While the use of barcoded collections of laboratory microorganisms and the development of barcode-based cell tracking are rapidly developing in genetics and genomics research, tools to track natural populations are still lacking. The yeast Saccharomyces paradoxus is an emergent microbial model in ecology and evolution. More than five allopatric and sympatric lineages have been identified and hundreds of strains have been isolated for this species, allowing to assess the impact of natural diversity on complex traits. We constructed a collection of 550 barcoded and traceable strains of S. paradoxus, including all three North American lineages SpB, SpC, and SpC*. These strains are diploid, many have their genome fully sequenced and are barcoded with a unique 20 bp sequence that allows their identification and quantification. This yeast collection is functional for competitive experiments in pools as the barcodes allow to measure each lineage's and individual strains' fitness in common conditions. We used this tool to demonstrate that in the tested conditions, there are extensive genotype-by-environment interactions for fitness among S. paradoxus strains, which reveals complex evolutionary potential in variable environments. This barcoded collection provides a valuable resource for ecological genomics studies that will allow gaining a better understanding of S. paradoxus evolution and fitness-related traits.
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Affiliation(s)
- Clara Bleuven
- Département de BiologieUniversité LavalQuébecQuébecCanada,Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQuébecCanada,Big Data Research CenterUniversité LavalQuébecQuébecCanada,PROTEO, The Quebec Network for Research on Protein Function, Engineering, and ApplicationsQuébecQuébecCanada
| | - Alexandre K. Dubé
- Département de BiologieUniversité LavalQuébecQuébecCanada,Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQuébecCanada,Big Data Research CenterUniversité LavalQuébecQuébecCanada,PROTEO, The Quebec Network for Research on Protein Function, Engineering, and ApplicationsQuébecQuébecCanada,Département de Biochimiede Microbiologie et de Bio‐informatique, Université LavalQuébecQuébecCanada
| | - Guillaume Q. Nguyen
- Département de BiologieUniversité LavalQuébecQuébecCanada,Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQuébecCanada,Big Data Research CenterUniversité LavalQuébecQuébecCanada,PROTEO, The Quebec Network for Research on Protein Function, Engineering, and ApplicationsQuébecQuébecCanada,Département des Sciences des aliments, Institut sur la nutrition et les aliments fonctionnels (INAF)Université LavalQuébecQuébecCanada
| | - Isabelle Gagnon‐Arsenault
- Département de BiologieUniversité LavalQuébecQuébecCanada,Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQuébecCanada,Big Data Research CenterUniversité LavalQuébecQuébecCanada,PROTEO, The Quebec Network for Research on Protein Function, Engineering, and ApplicationsQuébecQuébecCanada,Département de Biochimiede Microbiologie et de Bio‐informatique, Université LavalQuébecQuébecCanada
| | - Hélène Martin
- Département de BiologieUniversité LavalQuébecQuébecCanada,Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQuébecCanada,Big Data Research CenterUniversité LavalQuébecQuébecCanada,PROTEO, The Quebec Network for Research on Protein Function, Engineering, and ApplicationsQuébecQuébecCanada,Département de Biochimiede Microbiologie et de Bio‐informatique, Université LavalQuébecQuébecCanada
| | - Christian R. Landry
- Département de BiologieUniversité LavalQuébecQuébecCanada,Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecQuébecCanada,Big Data Research CenterUniversité LavalQuébecQuébecCanada,PROTEO, The Quebec Network for Research on Protein Function, Engineering, and ApplicationsQuébecQuébecCanada,Département de Biochimiede Microbiologie et de Bio‐informatique, Université LavalQuébecQuébecCanada
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