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21 results on '"Pascal Durrens"'

1. Molecular typing of wine yeast strains Saccharomyces bayanus var. uvarum using microsatellite markers

Author

Pascal Durrens, Marc Lollier, Isabelle Masneuf-Pomarède, C. Le Jeune, Michel Aigle, and Denis Dubourdieu

Subjects
Electrophoresis, Saccharomyces cerevisiae, Saccharomyces bayanus, Wine, Locus (genetics), Applied Microbiology and Biotechnology, Microbiology, Saccharomyces, 03 medical and health sciences, Typing, Mycological Typing Techniques, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Winemaking, Genetics, 0303 health sciences, biology, Chimera, 030306 microbiology, biology.organism_classification, Yeast in winemaking, Karyotyping, Microsatellite, Genome, Fungal, Microsatellite Repeats
Abstract

The Saccharomyces bayanus var. uvarum yeasts are associated with spontaneous fermentation of must. Some strains were shown to be enological yeasts of interest in different winemaking processes. The molecular typing of S. bayanus var. uvarum at the strain level has become significant for wine microbiologists. Four microsatellite loci were defined from the exploration of genomic DNA sequence of S. bayanus var. uvarum. The 40 strains studied were homozygote for the locus considered. The discriminating capacity of the microsatellite method was found to be equal to that of karyotypes analysis. Links between 37 indigenous strains with the same geographic origin could be established through the analysis of microsatellite patterns. The analysis of microsatellite polymorphism is a reliable method for wine S. bayanus var. uvarum strains and their hybrids with Saccharomyces cerevisiae identification in taxonomic, ecological studies and winemaking applications.

Published
2007
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2. A systematic nomenclature of chromosomal elements for hemiascomycete yeasts

Author

Pascal Durrens, David James Sherman, Centre de Bioinformatique de Bordeaux (CBIB), CGFB, Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), and Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)

Subjects
0106 biological sciences, Cancer genome sequencing, Bioengineering, comparative genomics, Computational biology, Biology, 01 natural sciences, Applied Microbiology and Biotechnology, Biochemistry, Genome, DNA sequencing, 03 medical and health sciences, Ascomycota, Terminology as Topic, Genetics, DNA, Fungal, Nomenclature, 030304 developmental biology, Comparative genomics, 0303 health sciences, Fungal genetics, Génolevures, Sequence Analysis, DNA, genome sequencing, genomic DNA, nomenclature, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Chromosomes, Fungal, Genome, Fungal, 010606 plant biology & botany, Biotechnology, Personal genomics
Abstract

International audience; We present a compact, stable, unambiguous and extensible nomenclature for unique chromosomal elements from genomic DNA, developed to meet the increasing need created by the increasing number of yeast sequencing projects. Our proposal, adopted for use in the Génolevures project, is specifically designed to facilitate basic tasks in comparative genomics.

Published
2005
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3. Genomic Exploration of the Hemiascomycetous Yeasts: 4. The genome ofSaccharomyces cerevisiaerevisited

Author

Bernard Dujon, Arnaud Perrin, Micheline Wésolowski-Louvel, Emmanuel Talla, Elisabeth Bon, Monique Bolotin-Fukuhara, Claire Toffano-Nioche, Jacky de Montigny, Serge Casaregola, Odile Ozier-Kalogeropoulos, Michel Aigle, Gaëlle Blandin, Jean-Luc Souciet, Serge Potier, Cécile Neuvéglise, Fredj Tekaia, Christian Marck, Bertrand Llorente, Claude Gaillardin, Andrée Lépingle, Alain Malpertuy, Pascal Durrens, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Microbiologie et Génétique Moléculaire (MGM), Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G)-Centre National de la Recherche Scientifique (CNRS), Génétique Moléculaire des Levures, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Unité de Microbiologie et génétique (UMG), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire, génomique, microbiologie (GMGM), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Transposable element, Sequence analysis, Annotation, Genes, Fungal, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], Intron, Saccharomyces cerevisiae, Biophysics, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biochemistry, Genome, Open Reading Frames, Pseudogene, 03 medical and health sciences, Ascomycota, RNA, Transfer, Structural Biology, Genetics, Family, Frameshift, Molecular Biology, Gene, 030304 developmental biology, Sequence (medicine), 0303 health sciences, biology, 030302 biochemistry & molecular biology, Cell Biology, biology.organism_classification, Multigene Family, Transfer RNA, DNA, Intergenic, Chromosomes, Fungal, Genome, Fungal, Sequence Alignment
Abstract

International audience; Since its completion more than 4 years ago, the sequence of Saccharomyces cerevisiae has been extensively used and studied. The original sequence has received a few corrections, and the identification of genes has been completed, thanks in particular to transcriptome analyses and to specialized studies on introns, tRNA genes, transposons or multigene families. In order to undertake the extensive comparative sequence analysis of this program, we have entirely revisited the S. cerevisiae sequence using the same criteria for all 16 chromosomes and taking into account publicly available annotations for genes and elements that cannot be predicted. Comparison with the other yeast species of this program indicates the existence of 50 novel genes in segments previously considered as ‘intergenic’ and suggests extensions for 26 of the previously annotated genes.

Published
2000
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4. Comparative genomics of emerging pathogens in the Candida glabrata clade

Author

Christiane Bouchier, Christian Marck, Ralitsa Atanasova, Gabriela Aguileta, Adela Enache-Angoulvant, Toni Gabaldón, Eric Westhof, Cécile Fairhead, Bernard Dujon, Cécile Neuvéglise, Patrick Wincker, Marina Marcet-Houben, Tiphaine Martin, Arnaud Couloux, Laurence Ma, Julien Recoquillay, Eric Pelletier, Olivier Lespinet, Juliette Guitard, Julie Poulain, Sophie Creno, Hugo Devillers, Sylvie Arnaise, Stéphanie Boisnard, Amélie Pinard, José Almeida Cruz, Laure Jaouen, Monique Bolotin-Fukuhara, Christophe Hennequin, Pascal Durrens, Bioinformatics and Genomics Programme, Universitat Pompeu Fabra [Barcelona] (UPF)-Centre for Genomic Regulation (CRG), Models and Algorithms for the Genome ( MAGNOME), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Immunité et Infection, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR113-Institut National de la Santé et de la Recherche Médicale (INSERM), Génomique (Plate-Forme) - Genomics Platform, Institut Pasteur [Paris] (IP), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Architecture et Réactivité de l'ARN (ARN), Institut de biologie moléculaire et cellulaire (IBMC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Comparative Genomics Group, CRG-Centre for Genomic Regulation, Service de Microbiologie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Bicêtre, Institut de Biologie et de Technologies de Saclay (IBITECS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Génétique Moléculaire des Levures, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007- 2013)/ERC Grant Agreement n.310325, a Grant from the Qatar National Research Fund grant (NPRP 5-298-3-086), and by a grant from the Spanish Ministry of Economy and Competitiveness (BIO2012-37161). CF's research is funded in part by an 'Attractivité' grant from the University Paris Sud. GA is a recipient of a Marie Curie grant (FP7-PEOPLE-2010-IEF-No.274223). SB, HD and RA are recipients of, respectively, a shared post-doctoral grant and a Ph. D. grant, from the Région Ile-de-France's DIM Malinf program. JAC was supported by the Ph.D. Program in Computational Biology of the Instituto Gulbenkian de Ciência, Portugal (sponsored by Fundação Calouste Gulbenkian, Siemens SA, and Fundação para a Ciência e Tecnologia, SFRH/ BD/33528/2008)., European Project: 310325,NONCODEVOL - FP7-IDEAS-ERC, European Project: 274223,EC:FP7:PEOPLE,FP7-PEOPLE-2010-IEF,FUNGI-PATHNCODE(2012), Guitard, Juliette, Centre for Genomic Regulation [Barcelona] (CRG), Universitat Pompeu Fabra [Barcelona] (UPF)-Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Hôpital Bicêtre, Mucoviscidose: physiopathologie et phénogénomique [CRSA], Centre de Recherche Saint-Antoine (CRSA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de Parasitologie - Mycologie [CHU Saint-Antoine], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génomique évolutive des Microbes / Microbial Evolutionary Genomics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut Pasteur [Paris], Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Universitat Pompeu Fabra [Barcelona]-Centre for Genomic Regulation (CRG), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR113-Université Pierre et Marie Curie - Paris 6 (UPMC), Génomique (Plate-Forme), Centre National de la Recherche Scientifique (CNRS)-Institut de biologie moléculaire et cellulaire (IBMC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Bicêtre, Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), BMC, Ed., Evolutionary genomics of long, non-coding RNAs - NONCODEVOL - FP7-IDEAS-ERC - 310325 - INCOMING, and The genomic basis of emerging fungal pathogenicity - FUNGI-PATHNCODE - - EC:FP7:PEOPLE2012-01-01 - 2013-12-31 - 274223 - VALID

Subjects
Nakaseomyces, Yeast evolution, [SDV]Life Sciences [q-bio], Yeast genomes, Virulence, Genomics, Candida glabrata, Genome, Evolution, Molecular, 03 medical and health sciences, Phylogenetics, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genetics, Gene family, Selection, Genetic, Clade, DNA, Fungal, Phylogeny, Fungal pathogens, 030304 developmental biology, Comparative genomics, 0303 health sciences, biology, 030306 microbiology, Càndida, Llevats -- Genètica, Sequence Analysis, DNA, biology.organism_classification, 3. Good health, [SDV] Life Sciences [q-bio], Genòmica, Saccharomycetales, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genome, Fungal, Biotechnology, Research Article
Abstract

BACKGROUND: Candida glabrata follows C. albicans as the second or third most prevalent cause of candidemia worldwide. These two pathogenic yeasts are distantly related, C. glabrata being part of the Nakaseomyces, a group more closely related to Saccharomyces cerevisiae. Although C. glabrata was thought to be the only pathogenic Nakaseomyces, two new pathogens have recently been described within this group: C. nivariensis and C. bracarensis. To gain insight into the genomic changes underlying the emergence of virulence, we sequenced the genomes of these two, and three other non-pathogenic Nakaseomyces, and compared them to other sequenced yeasts. RESULTS: Our results indicate that the two new pathogens are more closely related to the non-pathogenic N. delphensis than to C. glabrata. We uncover duplications and accelerated evolution that specifically affected genes in the lineage preceding the group containing N. delphensis and the three pathogens, which may provide clues to the higher propensity of this group to infect humans. Finally, the number of Epa-like adhesins is specifically enriched in the pathogens, particularly in C. glabrata. CONCLUSIONS: Remarkably, some features thought to be the result of adaptation of C. glabrata to a pathogenic lifestyle, are present throughout the Nakaseomyces, indicating these are rather ancient adaptations to other environments. Phylogeny suggests that human pathogenesis evolved several times, independently within the clade. The expansion of the EPA gene family in pathogens establishes an evolutionary link between adhesion and virulence phenotypes. Our analyses thus shed light onto the relationships between virulence and the recent genomic changes that occurred within the Nakaseomyces. This work was supported by funding from the European Research Council/nunder the European Union’s Seventh Framework Programme (FP/2007- 2013)/ERC Grant Agreement n.310325, a Grant from the Qatar National Research Fund grant (NPRP 5-298-3-086), and by a grant from the Spanish Ministry of Economy and Competitiveness (BIO2012-37161). CF’s research is/nfunded in part by an “Attractivité” grant from the University Paris Sud. GA is/na recipient of a Marie Curie grant (FP7-PEOPLE-2010-IEF-No.274223). SB, HD and RA are recipients of, respectively, a shared post-doctoral grant and a Ph. D. grant, from the Région Ile-de-France’s DIM Malinf program. JAC was supported by the Ph.D. Program in Computational Biology of the Instituto Gulbenkian de Ciência, Portugal (sponsored by Fundação Calouste Gulbenkian, Siemens SA, and Fundação para a Ciência e Tecnologia; SFRH/BD/33528/2008)

Published
2013
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5. The family based variability in protein family expansion

Author

Macha Nikolski, Pascal Durrens, Anasua Sarkar, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Models and Algorithms for the Genome ( MAGNOME), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Department of Information Technology [GCELT], Govt. College of Engineering and Leather Technology, plafrim, Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Inria Bordeaux - Sud-Ouest, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Protein family, sequence profiles, Clinical Biochemistry, Biomedical Engineering, Health Informatics, Computational biology, Biology, gene sequences, Genome, alignment selection criteria, 03 medical and health sciences, Health Information Management, optimal filtering strategy, ROC analysis, protein families, 030304 developmental biology, Genetics, 0303 health sciences, 030302 biochemistry & molecular biology, Computational Biology, remote homologues, bioinformatics, protein specific scoring matrix, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], proteins, ROC Curve, protein family expansion, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Family based, Algorithms
Abstract

International audience; In this paper we propose an automatic protein family expansion approach for recruitment of new members among the protein-coding genes in newly sequenced genomes. The criteria for adding a new member to a family depends on the structure of each individual family versus being globally uniform. The detection of a threshold in the ROC space of all sorted iterative profile sets defines the alignments selection criteria for each family. Furthermore, the statistical estimation of most-frequent optimal sorting criteria generates the optimal filtering strategy in a learning-parameter set for profile-based homology search.

Published
2013
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6. Pichia sorbitophila, an Interspecies Yeast Hybrid, Reveals Early Steps of Genome Resolution After Polyploidization

Author

Joseph Schacherer, Patrick Wincker, Emmanuel Talla, Jean Weissenbach, Benoit Vacherie, Valérie Barbe, Marie Laure Straub, Philippe Baret, Stéphanie Weiss, Christine Sacerdot, Guillaume Morel, Jacky de Montigny, Eric Pelletier, José Almeida Cruz, Julie Poulain, Sandrine Mallet, Laurence Despons, Gaelle Samson, Serge Casaregola, Guilhem Savel, Guy-Franck Richard, Zlatyo Uzunov, Véronique Leh Louis, Valérie Kugler, Noémie Jacques, Marc Lemaire, David James Sherman, Agnès Thierry, Tiphaine Martin, Claude Gaillardin, Anasua Sarkar, Marie Line Seret, Anne Friedrich, Eric Westhof, Paul P. Jung, Cécile Fairhead, Cécile Neuvéglise, Pascal Durrens, Claudine Bleykasten, Christian Marck, Bernard Dujon, Jean Luc Souciet, Claire Jubin, Université de Strasbourg (UNISTRA), Models and Algorithms for the Genome ( MAGNOME), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, AgroParisTech, Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie et de Technologies de Saclay (IBITECS), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Architecture et Réactivité de l'ARN (ARN), Centre National de la Recherche Scientifique (CNRS)-Institut de biologie moléculaire et cellulaire (IBMC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire, génomique, microbiologie (GMGM), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Biologie systémique - Systems Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire des levures (YMG), Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Génétique Moléculaire des Levures, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Earth and Life Institute [Louvain-La-Neuve] (ELI), Université Catholique de Louvain (UCL), Laboratoire de chimie bactérienne (LCB), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut de Génomique d'Evry (IG), Institut de Biologie François JACOB (JACOB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Université de Strasbourg - UMR 7156 Génétique Moléculaire Génomique Microbiologie, Centre National de la Recherche Scientifique (CNRS), This work was supported in part by funding from the Consortium National de Recherche en Génomique (CNRG) to Génoscope, from CNRS (GDR 2354, Génolevures), ANR (ANR-05-BLAN-0331, GENARISE). The computer framework was supported by the funding of the University of Bordeaux 1, the Aquitaine Région in the program 'Génotypage et Génomique Comparée,' and the ACI IMPBIO 'Génolevures En Ligne.'We thank the System and Network Administration team in LaBRI for excellent help and advice. J.A.C. is supported by the PhD Program in Computational Biology of the Instituto Gulbenkian de Ciência, Portugal (sponsored by Fundação Calouste Gulbenkian, Siemens SA, and Fundação para a Ciência e Tecnologia, SFRH/BD/33528/2008), ANR-05-BLAN-0331,GENARISE,How do genes arise ? Lessons and questions from the evolution of yeast genomes.(2005), UCL - SST/ELI/ELIA - Agronomy, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut de biologie moléculaire et cellulaire (IBMC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain = Catholic University of Louvain (UCL), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE)

Subjects
Genome evolution, Biology, Investigations, genome evolution, HEMIASCOMYCETOUS YEASTS, Gene dosage, Genome, allopolyploidy, Loss of heterozygosity, SACCHAROMYCES-CEREVISIAE, 03 medical and health sciences, NUCLEOLAR DOMINANCE, CANDIDA-ALBICANS, DNA-SEQUENCES, EVOLUTION, GENE, GLYCEROL, HALOTOLERANT, SPECIATION, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Gene duplication, Genetics, Molecular Biology, Gene, hybridization, Genetics (clinical), [SDV.MP.MYC]Life Sciences [q-bio]/Microbiology and Parasitology/Mycology, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, 030306 microbiology, osmotolerant yeast P. sorbitophila, osmotolerant yeast P, Numt, loss of heterozygosity, GC-content
Abstract

the Consortium National de Recherche en Génomique (CNRG) to Génoscope, CNRS (GDR 2354, Génolevures), The computer framework was supported by the funding of the University of Bordeaux 1, the Aquitaine Région in the program "Génotypage et Génomique Comparée," and the ACI IMPBIO "Génolevures En Ligne."; International audience; Polyploidization is an important process in the evolution of eukaryotic genomes, but ensuing molecular mechanisms remain to be clarified. Autopolyploidization or whole-genome duplication events frequently are resolved in resulting lineages by the loss of single genes from most duplicated pairs, causing transient gene dosage imbalance and accelerating speciation through meiotic infertility. Allopolyploidization or formation of interspecies hybrids raises the problem of genetic incompatibility (Bateson-Dobzhansky-Muller effect) and may be resolved by the accumulation of mutational changes in resulting lineages. In this article, we show that an osmotolerant yeast species, Pichia sorbitophila, recently isolated in a concentrated sorbitol solution in industry, illustrates this last situation. Its genome is a mosaic of homologous and homeologous chromosomes, or parts thereof, that corresponds to a recently formed hybrid in the process of evolution. The respective parental contributions to this genome were characterized using existing variations in GC content. The genomic changes that occurred during the short period since hybrid formation were identified (e.g., loss of heterozygosity, unilateral loss of rDNA, reciprocal exchange) and distinguished from those undergone by the two parental genomes after separation from their common ancestor (i.e., NUMT (NUclear sequences of MiTochondrial origin) insertions, gene acquisitions, gene location movements, reciprocal translocation). We found that the physiological characteristics of this new yeast species are determined by specific but unequal contributions of its two parents, one of which could be identified as very closely related to an extant Pichia farinosa strain.

Published
2012
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7. Rapid Discrimination between Candida glabrata, Candida nivariensis, and Candida bracarensis by Use of a Singleplex PCR ▿

Author

Pascal Durrens, Cécile Fairhead, Juliette Guitard, Tiphaine Martin, Christophe Hennequin, Adela Enache-Angoulvant, Frédéric Grenouillet, Mucoviscidose: physiopathologie et phénogénomique [CRSA], Centre de Recherche Saint-Antoine (CRSA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de Parasitologie - Mycologie [CHU Saint-Antoine], CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Physique Théorique - UMR 6207 (CPT), Université de la Méditerranée - Aix-Marseille 2-Université de Provence - Aix-Marseille 1-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Microorganismes : Génome et Environnement (LMGE), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS), Hôpital Bicêtre, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Immunité et Infection, IFR113-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Laboratoire de Parasitologie-Mycologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR113-Institut National de la Santé et de la Recherche Médicale (INSERM), Mycology-Parasitology Department, Université de Franche-Comté (UFC), Models and Algorithms for the Genome ( MAGNOME), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Modèles et algorithmes pour la Bioinformatique et la Visualisation d'informations, (MABIOVIS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Guitard, Juliette, Institut de génétique et microbiologie [Orsay] ( IGM ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Service Parasitologie-Mycologie, Hôpital St. Antoine, Université Pierre et Marie Curie - Paris 6 ( UPMC ) -IFR113-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire Chrono-environnement ( LCE ), Université Bourgogne Franche-Comté ( UBFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Franche-Comté ( UFC ), Université de Franche-Comté ( UFC ), Models and Algorithms for the Genome ( MAGNOME ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Université de Bordeaux ( UB ) -Centre National de la Recherche Scientifique ( CNRS ), ( MABIOVIS ), Laboratoire Bordelais de Recherche en Informatique ( LaBRI ), Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR113-Université Pierre et Marie Curie - Paris 6 (UPMC), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Inria Bordeaux - Sud-Ouest, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
Microbiology (medical), Microbiological Techniques, [SDV]Life Sciences [q-bio], Molecular Sequence Data, Mycology, Biology, Polymerase Chain Reaction, Microbiology, 03 medical and health sciences, [ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology, DNA, Ribosomal Spacer, Humans, Base sequence, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, DNA, Fungal, [ SDV.BBM ] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Candida bracarensis, 030304 developmental biology, Candida, DNA Primers, 0303 health sciences, Candida glabrata, Base Sequence, 030306 microbiology, Fungal genetics, Candidiasis, Sequence Analysis, DNA, Amplicon, biology.organism_classification, Candida nivariensis, [SDV] Life Sciences [q-bio], [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Primer (molecular biology), Sequence Alignment, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

We report here a PCR-based assay using a single primer pair targeting the RPL31 gene that allows discrimination between Candida glabrata , Candida bracarensis , and Candida nivariensis according to the size of the generated amplicon.

Published
2011
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8. The Génolevures database

Author

David James Sherman, Pascal Durrens, Tiphaine Martin, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Models and Algorithms for the Genome ( MAGNOME), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Modèles et algorithmes pour la Bioinformatique et la Visualisation d'informations, (MABIOVIS), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), and Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Computer science, Molecular Sequence Data, computer.software_genre, Genome, General Biochemistry, Genetics and Molecular Biology, DNA sequencing, Access to Information, 03 medical and health sciences, Annotation, Ascomycota, Databases, Genetic, Saccharomycotina, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Internet, 0303 health sciences, Base Sequence, General Immunology and Microbiology, Database, biology, Computers, business.industry, 030302 biochemistry & molecular biology, Online database, General Medicine, Genome project, biology.organism_classification, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Logical relations, The Internet, Genome, Fungal, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], General Agricultural and Biological Sciences, business, computer
Abstract

The Génolevures online database (URL: http://www.genolevures.org) stores and provides the data and results obtained by the Génolevures Consortium through several campaigns of genome annotation of the yeasts in the Saccharomycotina subphylum (hemiascomycetes). This database is dedicated to large-scale comparison of these genomes, storing not only the different chromosomal elements detected in the sequences, but also the logical relations between them. The database is divided into a public part, accessible to anyone through Internet, and a private part where the Consortium members make genome annotations with our Magus annotation system; this system is used to annotate several related genomes in parallel. The public database is widely consulted and offers structured data, organized using a REST web site architecture that allows for automated requests. The implementation of the database, as well as its associated tools and methods, is evolving to cope with the influx of genome sequences produced by Next Generation Sequencing (NGS).

Published
2011
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9. Genolevures: protein families and synteny among complete hemiascomycetous yeast proteomes and genomes

Author

David J, Sherman, Tiphaine, Martin, Macha, Nikolski, Cyril, Cayla, Jean-Luc, Souciet, Pascal, Durrens, E, Westhof, Models and Algorithms for the Genome (MAGNOME), INRIA Futurs, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1 (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique de Bordeaux (CBIB), CGFB, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Modèles et algorithmes pour la Bioinformatique et la Visualisation d'informations, (MABIOVIS), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Dynamique, évolution et expression de génomes de microorganismes (DEEGM), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire, génomique, microbiologie (GMGM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, and Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2

Subjects
Proteome, Protein family, In silico, Genomics, Biology, Synteny, Genome, Fungal Proteins, 03 medical and health sciences, Ascomycota, Yeasts, Databases, Genetic, Genetics, 030304 developmental biology, 0303 health sciences, Fungal protein, 030302 biochemistry & molecular biology, Articles, Subtelomere, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Gene Fusion, Genome, Fungal, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract

International audience; The Genolevures online database (http://cbi.labri.fr/Genolevures/ and http://genolevures.org/) provides exploratory tools and curated data sets relative to nine complete and seven partial genome sequences determined and manually annotated by the Genolevures Consortium, to facilitate comparative genomic studies of Hemiascomycete yeasts. The 2008 update to the Genolevures database provides four new genomes in complete (subtelomere to subtelomere) chromosome sequences, 50 000 protein-coding and tRNA genes, and in silico analyses for each gene element. A key element is a novel classification of conserved multi-species protein families and their use in detecting synteny, gene fusions and other aspects of genome remodeling in evolution. Our purpose is to release high-quality curated data from complete genomes, with a focus on the relations between genes, genomes and proteins.

Published
2009
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10. Fusion and fission of genes define a metric between fungal genomes

Author

Pascal Durrens, Macha Nikolski, David James Sherman, Centre de Bioinformatique de Bordeaux (CBIB), CGFB, Faculté d'Oenologie [Bordeaux II], Université Bordeaux Segalen - Bordeaux 2-Institut des Sciences de la Vigne et du Vin (ISVV), Models and Algorithms for the Genome (MAGNOME), INRIA Futurs, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1 (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), and Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Genome evolution, QH301-705.5, Genes, Fungal, Gene redundancy, Genomics, Biology, Genome, Evolution, Molecular, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Species Specificity, Genetics, Biology (General), Evolutionary Biology/Genomics, Molecular Biology, Genome size, Ecology, Evolution, Behavior and Systematics, Phylogeny, 030304 developmental biology, 0303 health sciences, Ecology, Phylogenetic tree, Base Sequence, Models, Genetic, Human evolutionary genetics, Fungal genetics, Fungi, Computational Biology, Proteins, DNA, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Computational Theory and Mathematics, Evolutionary biology, Genetic Code, Modeling and Simulation, Multigene Family, Neural Networks, Computer, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Gene Fusion, Genome, Fungal, Genetics and Genomics/Comparative Genomics, 030217 neurology & neurosurgery, Research Article, Computational Biology/Genomics
Abstract

Gene fusion and fission events are key mechanisms in the evolution of gene architecture, whose effects are visible in protein architecture when they occur in coding sequences. Until now, the detection of fusion and fission events has been performed at the level of protein sequences with a post facto removal of supernumerary links due to paralogy, and often did not include looking for events defined only in single genomes. We propose a method for the detection of these events, defined on groups of paralogs to compensate for the gene redundancy of eukaryotic genomes, and apply it to the proteomes of 12 fungal species. We collected an inventory of 1,680 elementary fusion and fission events. In half the cases, both composite and element genes are found in the same species. Per-species counts of events correlate with the species genome size, suggesting a random mechanism of occurrence. Some biological functions of the genes involved in fusion and fission events are slightly over- or under-represented. As already noted in previous studies, the genes involved in an event tend to belong to the same functional category. We inferred the position of each event in the evolution tree of the 12 fungal species. The event localization counts for all the segments of the tree provide a metric that depicts the “recombinational” phylogeny among fungi. A possible interpretation of this metric as distance in adaptation space is proposed., Author Summary One consequence of genome remodelling in evolution is the modification of genes, either by fusion with other genes, or by fission into several parts. By tracking the mathematical relations between groups of similar genes, rather than between individual genes, we can paint a global picture of remodelling across many species simultaneously. The strengths of our method are that it allows us to include highly redundant eukaryote genomes, and that it avoids alignment artifacts by representing each group of similar genes by a mathematical model. Applying our method to a set of fungal genomes, we confirmed first that the number of fusion/fission events is correlated with genome size, second that the fusion to fission ratio favors fusions, third that the set of events is not saturated, and fourth that while genes assembled in a fusion tend to have the same biochemical function, there appears to be little bias for the functions that are involved. Indeed, fusion and fission events are landmarks of random remodelling, independent of mutation rate: they define a metric of “recombination distance.” This distance lets us build a genome evolution history of species and may well be a better measure than mutation distance of the process of adaptation.

Published
2008
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11. Single QTL mapping and nucleotide-level resolution of a physiologic trait in wine Saccharomyces cerevisiae strains

Author

Gaël Yvert, Isabelle Masneuf-Pomarède, Pascal Durrens, Denis Dubourdieu, Michel Aigle, Philippe Marullo, Marina Bely, Faculté d'Oenologie [Bordeaux II], Université Bordeaux Segalen - Bordeaux 2-Institut des Sciences de la Vigne et du Vin (ISVV), Laboratoire de Biologie Moléculaire de la Cellule (LBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Models and Algorithms for the Genome (MAGNOME), INRIA Futurs, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de biologie moléculaire de la cellule ( BMC ), École normale supérieure - Lyon ( ENS Lyon ) -Institut National de la Recherche Agronomique ( INRA ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Models and Algorithms for the Genome ( MAGNOME ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique ( CNRS ), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1 (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Nonsynonymous substitution, QTL mapping, Saccharomyces cerevisiae Proteins, Nitrogen, Saccharomyces cerevisiae, Quantitative Trait Loci, Wine, Quantitative trait locus, Applied Microbiology and Biotechnology, Microbiology, Genome, Polymorphism, Single Nucleotide, 03 medical and health sciences, Genotype, Asparaginase, Pyrophosphatases, 030304 developmental biology, Acetic Acid, 2. Zero hunger, Genetics, 0303 health sciences, [SDV.GEN]Life Sciences [q-bio]/Genetics, biology, 030306 microbiology, DNA microarray, Chromosome Mapping, Reproducibility of Results, General Medicine, Quantitative genetics, Carbon Dioxide, biology.organism_classification, ASP1, Aneuploidy, Yeast, wine fermentation, Phenotype, Chromosomes, Fungal, Genome, Fungal, [ SDV.GEN ] Life Sciences [q-bio]/Genetics
Abstract

International audience; Natural Saccharomyces cerevisiae yeast strains exhibit very large genotypic and phenotypic diversity. However, the link between phenotype variation and genetic determinism is still difficult to identify, especially in wild populations. Using genome hybridization on DNA microarrays, it is now possible to identify single-feature polymorphisms among divergent yeast strains. This tool offers the possibility of applying quantitative genetics to wild yeast strains. In this instance, we studied the genetic basis for variations in acetic acid production using progeny derived from two strains from grape must isolates. The trait was quantified during alcoholic fermentation of the two strains and 108 segregants derived from their crossing. A genetic map of 2212 markers was generated using oligonucleotide microarrays, and a major quantitative trait locus (QTL) was mapped with high significance. Further investigations showed that this QTL was due to a nonsynonymous single-nucleotide polymorphism that targeted the catalytic core of asparaginase type I (ASP1) and abolished its activity. This QTL was only effective when asparagine was used as a major nitrogen source. Our results link nitrogen assimilation and CO(2) production rate to acetic acid production, as well as, on a broader scale, illustrating the specific problem of quantitative genetics when working with nonlaboratory microorganisms.

Published
2007
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12. A novel link between a Rab GTPase and Rvs proteins: the yeast amphiphysin homologues

Author

Michel Aigle, Nicolas Talarek, Axelle Balguerie, Pascal Durrens, Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Unité de Microbiologie et génétique (UMG), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon

Subjects
Saccharomyces cerevisiae Proteins, Molecular Sequence Data, Clinical Biochemistry, Mutant, Saccharomyces cerevisiae, Fus2p, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], GTPase, [SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC], Biology, Biochemistry, SH3 domain, src Homology Domains, 03 medical and health sciences, 0302 clinical medicine, Two-Hybrid System Techniques, GAP protein (Gyp5p, Ymr192p), [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Amino Acid Sequence, Vesicular traffic, Cytokinesis, 030304 developmental biology, Genetics, 0303 health sciences, Sequence Homology, Amino Acid, Microfilament Proteins, Cell Biology, General Medicine, biology.organism_classification, Fusion protein, Cell biology, Rvsp, rab GTP-Binding Proteins, Amphiphysin, Rab, 030217 neurology & neurosurgery
Abstract

The BAR proteins are a well-conserved family of proteins including Rvsp in yeast, amphiphysins and Bin proteins in mammals. In yeast, as in mammals, BAR proteins are known to be implicated in vesicular traffic. The Gyp5p (Ypl249p) and Ymr192p proteins interact in two-hybrid tests with both Rvs161p and Rvs167p. Gyp5p is a Ypt/Rab-specific GAP and Ymr192p is highly similar to Gyp5p. To specify the interaction between Rvsp and Gyp5p, we used two-hybrid tests to determine the domains necessary for these interactions. The specific SH3 domain of Rvs167p interacted with the N-terminal domain of Gyp5p. Moreover, Gyp5p could form a homodimer. Fus2 protein is a specific partner of Rvs161p in two-hybrid tests. To characterize the functional relationships between these five proteins, we have studied cellular phenotypes in single, double and triple mutant strains for which rvs mutants present defects, such as polarity, cell fusion and meiosis. Phenotypic analysis showed that Gyp5p, Ymr192p and Fus2p were involved in bipolar budding pattern and in meiosis. Specific epistasis or suppressive phenomena were found between the five mutations. Finally, The Gyp5p–GFP fusion protein was localized at the bud tip during apical growth and at the mother-bud neck during cytokinesis. Moreover, Rvs167p and Rvs161p were shown to be essential for the correct localization of Gyp5p. Altogether, these data support the hypothesis that both Rvsp proteins act in vesicular traffic through physical and functional interactions with Ypt/Rab regulators. Copyright © 2004 John Wiley & Sons, Ltd.

Published
2005
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13. Genome evolution in yeasts

Author

Valérie Barbe, Laurence Cattolico, Isabelle Lesur, Alix Kerrest, Hélène Ferry-Dumazet, Fabrice Confanioleri, Serge Casaregola, Emmanuel Talla, Véronique Anthouard, Jean-Marie Beckerich, Laurence Ma, Odile Ozier-Kalogeropoulos, Nicolas Jauniaux, Nicolas Goffard, Jacky de Montigny, David James Sherman, Antoine de Daruvar, Serge Potier, Guy-Franck Richard, Romain Koszul, Pascal Durrens, Anna Babour, Sophie Oztas, Emmanuelle Beyne, Christian Marck, Patrick Wincker, Emmanuelle Fabre, Stefan Pellenz, Bernard Dujon, Florence Hantraye, Eric Westhof, Cécile Fairhead, Micheline Wésolowski-Louvel, Cécile Neuvéglise, Gilles Fischer, Laurence Despons, Christophe Hennequin, Jean Weissenbach, Marie-Laure Straub, Audrey Suleau, Stéphanie Barnay, Jean-Marc Nicaud, Macha Nikolski, Claude Gaillardin, Claudine Bleykasten, Jean-Luc Souciet, Fredj Tekaia, Philippe Joyet, Rym Kachouri, Sylvie Blanchin, Bénédicte Wirth, Héloïse Muller, Christiane Bouchier, Maria Zeniou-Meyer, Ingrid Lafontaine, Jeanne Boyer, Monique Bolotin-Fukuhara, Ivan Zivanovic, Claude Scarpelli, Bernard Caudron, Agnès Thierry, Dominique Swennen, Alexis Groppi, Anita Boisramé, Michel Aigle, Lionel Frangeul, Marc Lemaire, Génétique Moléculaire des Levures, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique de Bordeaux (CBIB), CGFB, Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Collection de Levures d'Intérêt Biotechnologique et Laboratoire de Génétique Moléculaire et Cellulaire, Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Dynamique, évolution et expression de génomes de microorganismes (DEEGM), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Service de Biochimie, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Génomique (Plate-Forme) - Genomics Platform, Institut Pasteur [Paris] (IP), Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Génétique des Interactions Macromoléculaires, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Unité de Microbiologie et génétique (UMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Architecture et réactivité de l'ARN (ARN), Logiciels et Banques de Données, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Génomique (Plate-Forme), Institut Pasteur [Paris], Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
MESH: Tandem Re, MESH: Research Support, Non-U.S. Gov't, Genome, MESH: Saccharomyces cerevisiae Proteins, RNA, Transfer, Gene Duplication, Yeasts, Conserved Sequence, MESH: Evolution, Molecular, Segmental duplication, Genomic organization, Genetics, SACCHAROMYCES CEREVISIAE, 0303 health sciences, Multidisciplinary, MESH: Conserved Sequence, MESH: Yeasts, MESH: Gene Duplication, MESH: Synteny, Genome project, MESH: Chromosomes, Fungal, Tandem Repeat Sequences, MESH: Genome, Fungal, Chromosomes, Fungal, Genome, Fungal, GENETIC MAPPING, Genome evolution, Saccharomyces cerevisiae Proteins, Genes, Fungal, Molecular Sequence Data, Biology, Synteny, Evolution, Molecular, 03 medical and health sciences, GENOME ORGANIZATION, Molecular evolution, YEAST, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Gene, 030304 developmental biology, Comparative genomics, STRUCTURE DU GENOME, MESH: Molecular Sequence Data, 030306 microbiology, MESH: RNA, Transfer, MOLECULAR EVOLUTION, MESH: Tandem Repeat Sequences, Evolutionary biology, RNA, Ribosomal, MESH: RNA, Ribosomal, MESH: Genes, Fungal
Abstract

Identifying the mechanisms of eukaryotic genome evolution by comparative genomics is often complicated by the multiplicity of events that have taken place throughout the history of individual lineages, leaving only distorted and superimposed traces in the genome of each living organism. The hemiascomycete yeasts, with their compact genomes, similar lifestyle and distinct sexual and physiological properties, provide a unique opportunity to explore such mechanisms. We present here the complete, assembled genome sequences of four yeast species, selected to represent a broad evolutionary range within a single eukaryotic phylum, that after analysis proved to be molecularly as diverse as the entire phylum of chordates. A total of approximately 24,200 novel genes were identified, the translation products of which were classified together with Saccharomyces cerevisiae proteins into about 4,700 families, forming the basis for interspecific comparisons. Analysis of chromosome maps and genome redundancies reveal that the different yeast lineages have evolved through a marked interplay between several distinct molecular mechanisms, including tandem gene repeat formation, segmental duplication, a massive genome duplication and extensive gene loss.

Published
2004
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14. Génolevures: comparative genomics and molecular evolution of hemiascomycetous yeasts

Author

Jean-Luc Souciet, Pascal Durrens, Emmanuelle Beyne, David James Sherman, Macha Nikolski, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire, génomique, microbiologie (GMGM), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), and GDR CNRS 2354 'Génolevures'

Subjects
Information Storage and Retrieval, Genomics, Biology, Genome, Evolution, Molecular, 03 medical and health sciences, Molecular evolution, Kluyveromyces, Yeasts, Databases, Genetic, Genetics, 030304 developmental biology, Synteny, Comparative genomics, Kluyveromyces lactis, 0303 health sciences, Internet, [SDV.GEN]Life Sciences [q-bio]/Genetics, 030306 microbiology, Computational Biology, Articles, biology.organism_classification, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Genome, Fungal, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Software, Reference genome
Abstract

International audience; The Génolevures online database (http://cbi.labri.fr/Genolevures/) provides data and tools to facilitate comparative genomic studies on hemiascomycetous yeasts. Now, four complete genome sequences recently determined (Candida glabrata, Kluyveromyces lactis, Debaryomyces hansenii, Yarrowia lipolytica) have been added to the partial sequences of 13 species previously analysed by a random approach. The database also includes the reference genome Saccharomyces cerevisiae. Data are presented with a focus on relations between genes and genomes: conservation of genes and gene families, speciation, chromosomal reorganization and synteny. The Génolevures site includes a community area for specific studies by members of the international community.

Published
2004
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15. The complete genome of Blastobotrys (Arxula) adeninivorans LS3 - a yeast of biotechnological interest

Author

Rüdiger Bode, Martin Mascher, Serge Casaregola, Anasua Sarkar, Guilhem Savel, Patrick Wincker, Valérie Barbe, Martin Giersberg, Marina Marcet-Houben, Keith Baronian, Nils Stein, Véronique Leh-Louis, Christine Sacerdot, Guy-Franck Richard, Jan Riechen, Ingrid Lafontaine, Jean Luc Souciet, Urs Hähnel, Eric Westhof, Joseph Schacherer, Uwe Scholz, Sebastian Worch, Sebastian Beier, Pascal Durrens, Erik Böer, Anke Trautwein-Schult, Christian Marck, Toni Gabaldón, Cécile Fairhead, Anja Hartmann, Claire Jubin, Bernard Dujon, Cécile Neuvéglise, Małgorzata Czernicka, Claudine Bleykasten, David James Sherman, Laurence Despons, Marie Laure Straub, Paul P. Jung, Marc Lemaire, Dagmara Jankowska, Tiphaine Martin, Benoit Vacherie, Emmanuel Talla, Agnès Thierry, José Almeida Cruz, André Goffeau, Gotthard Kunze, Claude Gaillardin, Philippe Baret, Guillaume Morel, Przemysław Piotr Gierski, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, Yeast Genetics, Leibniz Institute of Plant Research (IPK), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institute of Plant Biology and Biotechnology, University of Agriculture in Krakow, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Models and Algorithms for the Genome ( MAGNOME), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Universitat Pompeu Fabra [Barcelona], Architecture et Réactivité de l'ARN (ARN), Institut de biologie moléculaire et cellulaire (IBMC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de chimie bactérienne (LCB), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie et de Technologies de Saclay (IBITECS), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université catholique de Louvain, Institut des Sciences de la Vie, Institut de Génomique d'Evry (IG), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Earth and Life Institute [Louvain-La-Neuve] (ELI), Université Catholique de Louvain (UCL), School of Biological Sciences, University of Canterbury, Institute of Biochemistry, Universität Greifswald - University of Greifswald, Université de Strasbourg (UNISTRA), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Génétique moléculaire, génomique, microbiologie (GMGM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Génétique Moléculaire des Levures, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire des levures (YMG), Microbiologie, adaptation et pathogénie (MAP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), This work was supported in part by funding from the Consortium National de Recherche en Génomique (CNRG) to Génoscope, from CNRS (GDR 2354, Génolevures), ANR (ANR-05-BLAN-0331, GENARISE). The computing framework was supported by the funding of the University of Bordeaux 1, the Aquitaine Région in the program ' Génotypage et Génomique Comparée ' , the ACI IMPBIO ' Génolevures En Ligne ' and INRIA. We thank the System and Network Administration team in LaBRI for excellent help and advice. J.A.C. is supported by the PhD Program in Computational Biology of the Instituto Gulbenkian de Ciência, Portugal (sponsored by Fundação Calouste Gulbenkian, Siemens SA, and Fundação para a Ciência e Tecnologia, SFRH/BD/33528/2008). M.C. research was supported by a grant of the Deutscher Akademischer Austauschdienst (DAAD). T.G. research was partly supported by a grant from the Spanish Ministry of Economy and Competitiveness (BIO2012-37161)., Leibniz Institute of Plant Genetics and Crop Plant Research [Gatersleben] (IPK-Gatersleben), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Universitat Pompeu Fabra [Barcelona] (UPF), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Université Catholique de Louvain = Catholic University of Louvain (UCL), Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of Canterbury [Christchurch], International Institute of Molecular and Cell Biology [Warsaw] (IIMCB), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université d'Évry-Val-d'Essonne (UEVE), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Kunze, Gotthard, Neuvéglise, Cécile, UCL - SST/ELI/ELIA - Agronomy, Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Inria Bordeaux - Sud-Ouest, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
Yarrowia lipolytica, n-butanol, yeast, genome, tannic acid, metabolism, biotechnology, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, Technological development, Butyric acid, Applied Microbiology and Biotechnology, Genome, Blastobotrys, Saccharomycotina, [INFO.INFO-BT]Computer Science [cs]/Biotechnology, N-butanol, 2. Zero hunger, 0303 health sciences, biology, Segmental duplications, Genomics, Phylogenetics, General Energy, Biochemistry, Biotechnology, Nitrogen, Saccharomyces cerevisiae, Biotecnologia agrícola, Computational biology, Management, Monitoring, Policy and Law, Biotechnological potentials, Arxula, Arxula adeninivorans, 03 medical and health sciences, Carbon and nitrogen, 030304 developmental biology, Saccharomycetes, Comparative genomics, Tannic acid, 030306 microbiology, Renewable Energy, Sustainability and the Environment, Protein, Research, Fundamental studies, Yarrowia, Llevats -- Genètica, biology.organism_classification, Yeast, Carbon, Metabolism, Genes, Organic acid
Abstract

Background: The industrially important yeast Blastobotrys (Arxula) adeninivorans is an asexual hemiascomycete phylogenetically very distant from Saccharomyces cerevisiae. Its unusual metabolic flexibility allows it to use a wide range of carbon and nitrogen sources, while being thermotolerant, xerotolerant and osmotolerant./nResults: The sequencing of strain LS3 revealed that the nuclear genome of A. adeninivorans is 11.8 Mb long and consists of four chromosomes with regional centromeres. Its closest sequenced relative is Yarrowia lipolytica, although mean conservation of orthologs is low. With 914 introns within 6116 genes, A. adeninivorans is one of the most intron-rich hemiascomycetes sequenced to date. Several large species-specific families appear to result from multiple rounds of segmental duplications of tandem gene arrays, a novel mechanism not yet described in yeasts. An analysis of the genome and its transcriptome revealed enzymes with biotechnological potential, such as two extracellular tannases (Atan1p and Atan2p) of the tannic-acid catabolic route, and a new pathway for the assimilation of n-butanol via butyric aldehyde and butyric acid. Conclusions: The high-quality genome of this species that diverged early in Saccharomycotina will allow further fundamental studies on comparative genomics, evolution and phylogenetics. Protein components of different pathways for carbon and nitrogen source utilization were identified, which so far has remained unexplored in yeast, offering clues for further biotechnological developments. In the course of identifying alternative microorganisms for biotechnological interest, A. adeninivorans has already proved its strengthened competitiveness as a promising cell factory for many more applications. This work was supported in part by funding from the Consortium National de Recherche en Génomique (CNRG) to Génoscope, from CNRS (GDR 2354, Génolevures), ANR (ANR-05-BLAN-0331, GENARISE). The computing framework was supported by the funding of the University of Bordeaux 1, the Aquitaine Région in the program “Génotypage et Génomique Comparée”, the ACI IMPBIO “Génolevures En Ligne” and INRIA. We thank the System and Network Administration team in LaBRI for excellent help and advice. J.A.C. is supported by the PhD Program in Computational Biology of the Instituto Gulbenkian de Ciência, Portugal (sponsored by Fundação Calouste Gulbenkian, Siemens SA, and Fundação para a Ciência e Tecnologia; SFRH/BD/33528/2008). M.C. research was supported by a grant of the Deutscher Akademischer Austauschdienst (DAAD). T.G. research was partly supported by a grant from the Spanish Ministry of Economy and Competitiveness (BIO2012-37161). B.D. is a member of Institut Universitaire de France

Published
2014
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16. Genomic exploration of the hemiascomycetous yeasts: 5. Saccharomyces bayanus var. uvarum

Author

Cécile Neuvéglise, François Artiguenave, Pascal Durrens, Elisabeth Bon, Serge Casaregola, Patrick Wincker, Michel Aigle, Microbiologie et Génétique Moléculaire (MGM), and Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Genome evolution, Retroelements, Saccharomyces cerevisiae, Centromere, Molecular Sequence Data, Biophysics, Saccharomyces bayanus, Introgression, Translocation, Retrotransposon, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, Biochemistry, 03 medical and health sciences, Contig Mapping, Saccharomyces, Ascomycota, Structural Biology, Gene Order, Genetics, ORFS, Molecular Biology, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Synteny, 0303 health sciences, 030306 microbiology, Cell Biology, Sequence Analysis, DNA, Ty, biology.organism_classification, Open reading frame, Chromosomes, Fungal, Genome, Fungal
Abstract

Saccharomyces bayanus var. uvarum investigated here is the species closest to Saccharomyces cerevisiae. Random sequence tags (RSTs) allowed us to identify homologues to 2789 open reading frames (ORFs) in S. cerevisiae, ORFs duplicated in S. uvarum but not in S. cerevisiae, centromeres, tRNAs, homologues of Ty1/2 and Ty4 retrotransposons, and a complete rDNA repeat. Only 13 RSTs seem to be homologous to sequences in other organisms but not in S. cerevisiae. As the synteny between the two species is very high, cases in which synteny is lost suggest special mechanisms of genome evolution. The corresponding RSTs revealed that S. uvarum can exist without any S. cerevisiae DNA introgression. Accession numbers are from AL397139 to AL402278 in the EMBL databank.

Published
2001

17. Evolution of gene order in the genomes of two related yeast species

Author

Bernard Dujon, Claude Gaillardin, Cécile Neuvéglise, Gilles Fischer, Pascal Durrens, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), and Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2

Subjects
0106 biological sciences, Genetic Linkage, Genes, Fungal, Molecular Sequence Data, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], Saccharomyces bayanus, Saccharomyces cerevisiae, 01 natural sciences, Genome, Translocation, Genetic, Evolution, Molecular, Saccharomyces, 03 medical and health sciences, Gene Duplication, Gene Order, Gene duplication, Gene cluster, Genetics, Gene, Genetics (clinical), 030304 developmental biology, Synteny, Chromosomal inversion, Recombination, Genetic, 0303 health sciences, Concerted evolution, biology, biology.organism_classification, Chromosome Inversion, Chromosomes, Fungal, Genome, Fungal, Gene Deletion, 010606 plant biology & botany
Abstract

Changes in gene order between the genomes of two related yeast species, Saccharomyces cerevisiae and Saccharomyces bayanus var. uvarum were studied. From the dataset of a previous low coverage sequencing of the S. bayanus var.uvarum genome, 35 different synteny breakpoints between neighboring genes and two cases of local gene inversion were characterized in detail. The number and the type of the chromosomal rearrangements that have lead to these differences were identified. We show that evolution of gene order in the genomes of these two yeast species is driven mainly by gene duplication onto different chromosomes followed by differential loss of the repeated copies. In addition, local gene inversions also would result from a mechanism of gene duplication, but in an inverted orientation, followed by loss of the original copy. The identification of traces of anciently duplicated genes, called relics, show that the loss of duplicates is more frequently caused by the accumulation of numerous mutations in one of the two copies than by DNA deletion. Surprisingly, gross chromosomal rearrangements such as translocations have only a minor effect on gene order reshuffling as they account for [The sequence data have been submitted to the EMBL Library under accession nos. AJ316068 and AJ316069.]

Published
2001
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18. Genomic exploration of the hemiascomycetous yeasts: 21. Comparative functional classification of genes

Author

Elisabeth Bon, Jean Weissenbach, William Saurin, Patrick Wincker, Micheline Wésolowski-Louvel, Michel Termier, Claire Toffano-Nioche, Michel Aigle, Jacky de Montigny, Philippe Brottier, Bertrand Llorente, Andrée Lépingle, Claude Gaillardin, Alain Malpertuy, Pascal Durrens, Serge Casaregola, Jean-Luc Souciet, Monique Bolotin-Fukuhara, Serge Potier, Guillemette Duchateau-Nguyen, François Artiguenave, Odile Ozier-Kalogeropoulos, Fredj Tekaia, Bernard Dujon, Gaëlle Blandin, Cécile Neuvéglise, Laboratoire de Génétique Moléculaire et Cellulaire (INRA UMR216-URA1925), Institut National de la Recherche Agronomique (INRA), Institut de génétique et microbiologie [Orsay] (IGM), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Génétique Moléculaire des Levures, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Structure et évolution des génomes (SEG), CNS-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire, génomique, microbiologie (GMGM), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Unité de Microbiologie et génétique (UMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de génétique moléculaire et cellulaire, Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Speciation, Biodiversity, MESH: Research Support, Non-U.S. Gov't, Biochemistry, MESH: Gene Amplification, MESH: Variation (Genetics), MESH: Yeast, Structural Biology, Yeasts, Gene cluster, MESH: Phylogeny, Phylogeny, Genetics, 0303 health sciences, biology, MESH: Genomics, MESH: Comparative Study, Genomics, MESH: Saccharomyces cerevisiae, Horizontal gene transfer, MESH: Fungal Proteins, Genes, Fungal, Saccharomyces cerevisiae, Biophysics, MESH: Ascomycota, MESH: Sequence Homology, Nucleic Acid, Fungal Proteins, 03 medical and health sciences, MESH: Software, Ascomycota, Species Specificity, Phylogenetics, Sequence Homology, Nucleic Acid, Gene family, MESH: Species Specificity, Molecular Biology, Gene, 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, 030306 microbiology, Gene Amplification, Genetic Variation, Cell Biology, 15. Life on land, biology.organism_classification, Yeast, MESH: Genes, Fungal, Software, Pathway
Abstract

We explored the biological diversity of hemiascomycetous yeasts using a set of 22 000 newly identified genes in 13 species through BLASTX searches. Genes without clear homologue in Saccharomyces cerevisiae appeared to be conserved in several species, suggesting that they were recently lost by S. cerevisiae. They often identified well-known species-specific traits. Cases of gene acquisition through horizontal transfer appeared to occur very rarely if at all. All identified genes were ascribed to functional classes. Functional classes were differently represented among species. Species classification by functional clustering roughly paralleled rDNA phylogeny. Unequal distribution of rapidly evolving, ascomycete-specific, genes among species and functions was shown to contribute strongly to this clustering. A few cases of gene family amplification were documented, but no general correlation could be observed between functional differentiation of yeast species and variations of gene family sizes. Yeast biological diversity seems thus to result from limited species-specific gene losses or duplications, and for a large part from rapid evolution of genes and regulatory factors dedicated to specific functions.

Published
2000
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19. Genome-wide computational prediction of tandem gene arrays: application in yeasts

Author

Véronique Leh Louis, Pascal Durrens, Laurence Despons, Jean-Luc Souciet, Philippe Baret, Lionel Frangeul, Génétique moléculaire, génomique, microbiologie (GMGM), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain = Catholic University of Louvain (UCL), Intégration et Analyse Génomique (Plate-Forme 4) (PF4), Institut Pasteur [Paris], Models and Algorithms for the Genome ( MAGNOME), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), This work was supported in part by the Génolevures-3 sequencing consortium GDR 2354 from CNRS and by ANR-05-BLAN-0331 (GENARISE), Institut Pasteur [Paris] (IP), Inria Bordeaux - Sud-Ouest, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
MESH: Sequence Analysis, DNA, lcsh:QH426-470, lcsh:Biotechnology, In silico, MESH: Algorithms, Minisatellite Repeats, Computational biology, Biology, Genome, Evolution, Molecular, 03 medical and health sciences, 0302 clinical medicine, Protein sequencing, Yeasts, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], lcsh:TP248.13-248.65, Databases, Genetic, Genetics, Coding region, Gene conversion, MESH: Phylogeny, Gene, Phylogeny, MESH: Databases, Genetic, MESH: Evolution, Molecular, Oligonucleotide Array Sequence Analysis, 030304 developmental biology, Comparative genomics, 0303 health sciences, Methodology Article, MESH: Yeasts, MESH: Genomics, Computational Biology, Genomics, Sequence Analysis, DNA, lcsh:Genetics, MESH: Genome, Fungal, MESH: Minisatellite Repeats, MESH: Oligonucleotide Array Sequence Analysis, Genome, Fungal, DNA microarray, Algorithms, 030217 neurology & neurosurgery, MESH: Computational Biology, Biotechnology
Abstract

Background This paper describes an efficient in silico method for detecting tandem gene arrays (TGAs) in fully sequenced and compact genomes such as those of prokaryotes or unicellular eukaryotes. The originality of this method lies in the search of protein sequence similarities in the vicinity of each coding sequence, which allows the prediction of tandem duplicated gene copies independently of their functionality. Results Applied to nine hemiascomycete yeast genomes, this method predicts that 2% of the genes are involved in TGAs and gene relics are present in 11% of TGAs. The frequency of TGAs with degenerated gene copies means that a significant fraction of tandem duplicated genes follows the birth-and-death model of evolution. A comparison of sequence identity distributions between sets of homologous gene pairs shows that the different copies of tandem arrayed paralogs are less divergent than copies of dispersed paralogs in yeast genomes. It suggests that paralogs included in tandem structures are more recent or more subject to the gene conversion mechanism than other paralogs. Conclusion The method reported here is a useful computational tool to provide a database of TGAs composed of functional or nonfunctional gene copies. Such a database has obvious applications in the fields of structural and comparative genomics. Notably, a detailed study of the TGA catalog will make it possible to tackle the fundamental questions of the origin and evolution of tandem gene clusters.

Published
2010
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20. Genomic Exploration of the Hemiascomycetous Yeasts: 20. Evolution of gene redundancy compared to Saccharomyces cerevisiae

Author

William Saurin, Cécile Neuvéglise, Bertrand Llorente, Philippe Brottier, Andrée Lépingle, Bernard Dujon, Micheline Wésolowski-Louvel, Serge Casaregola, Monique Bolotin-Fukuhara, Claire Toffano-Nioche, Gaëlle Blandin, Elisabeth Bon, Odile Ozier-Kalogeropoulos, Patrick Wincker, Jean Weissenbach, Alain Malpertuy, François Artiguenave, Pascal Durrens, Michel Aigle, Serge Potier, Claude Gaillardin, Jean-Luc Souciet, Fredj Tekaia, Jacky de Montigny, Microbiologie et Génétique Moléculaire (MGM), and Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Genome evolution, Gene duplication, Genes, Fungal, Saccharomyces cerevisiae, Biophysics, Gene redundancy, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biochemistry, Genome, Evolution, Molecular, 03 medical and health sciences, Ascomycota, Structural Biology, Gene cluster, Genetics, Gene family, Molecular Biology, Gene, Conserved Sequence, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Base Sequence, Models, Genetic, biology, Gene deletion, 030302 biochemistry & molecular biology, Genetic Variation, Cell Biology, Telomere, biology.organism_classification, Paralogue, Multigene Family, Orthologue, Genome, Fungal
Abstract

We have evaluated the degree of gene redundancy in the nuclear genomes of 13 hemiascomycetous yeast species. Saccharomyces cerevisiae singletons and gene families appear generally conserved in these species as singletons and families of similar size, respectively. Variations of the number of homologues with respect to that expected affect from 7 to less than 24% of each genome. Since S. cerevisiae homologues represent the majority of the genes identified in the genomes studied, the overall degree of gene redundancy seems conserved across all species. This is best explained by a dynamic equilibrium resulting from numerous events of gene duplication and deletion rather than by a massive duplication event occurring in some lineages and not in others.

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21. Genolevures complete genomes provide data and tools for comparative genomics of hemiascomycetous yeasts

Author

Florian Iragne, Pascal Durrens, Emmanuelle Beyne, David James Sherman, Macha Nikolski, Jean-Luc Souciet, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2, Models and Algorithms for the Genome (MAGNOME), INRIA Futurs, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), Génétique moléculaire, génomique, microbiologie (GMGM), Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Sciences et Technologies - Bordeaux 1 (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)

Subjects
In silico, Genomics, Computational biology, Biology, MESH: Research Support, Non-U.S. Gov't, Genome, Article, Evolution, Molecular, Fungal Proteins, User-Computer Interface, 03 medical and health sciences, MESH: Software, Yeasts, Databases, Genetic, Genetics, Gene family, MESH: Databases, Genetic, MESH: Evolution, Molecular, 030304 developmental biology, Synteny, MESH: User-Computer Interface, Comparative genomics, Internet, 0303 health sciences, Fungal protein, [SDV.GEN]Life Sciences [q-bio]/Genetics, 030306 microbiology, MESH: Yeasts, MESH: Genomics, Subtelomere, Systems Integration, MESH: Internet, MESH: Genome, Fungal, MESH: Fungal Proteins, Genome, Fungal, MESH: Systems Integration, Software
Abstract

The Génolevures online database (http://cbi.labri.fr/Genolevures/) provides tools and data relative to 4 complete and 10 partial genome sequences determined and manually annotated by the Génolevures Consortium, to facilitate comparative genomic studies of hemiascomycetous yeasts. With their relatively small and compact genomes, yeasts offer a unique opportunity for exploring eukaryotic genome evolution. The new version of the Génolevures database provides truly complete (subtelomere to subtelomere) chromosome sequences, 25 000 protein-coding and tRNA genes, and in silico analyses for each gene element. A new feature of the database is a novel collection of conserved multi-species protein families and their mapping to metabolic pathways, coupled with an advanced search feature. Data are presented with a focus on relations between genes and genomes: conservation of genes and gene families, speciation, chromosomal reorganization and synteny. The Génolevures site includes an area for specific studies by members of its international community.

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