Hélène Bergès
Institut national de la recherche agronomique
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Publication
Featured researches published by Hélène Bergès.
Nature | 2012
Klaus F. X. Mayer; Robbie Waugh; Peter Langridge; Timothy J. Close; Roger P. Wise; Andreas Graner; Takashi Matsumoto; Kazuhiro Sato; Alan H. Schulman; Ruvini Ariyadasa; Daniela Schulte; Naser Poursarebani; Ruonan Zhou; Burkhard Steuernagel; Martin Mascher; Uwe Scholz; Bu-Jun Shi; Kavitha Madishetty; Jan T. Svensson; Prasanna R. Bhat; Matthew J. Moscou; Josh Resnik; Gary J. Muehlbauer; Peter E. Hedley; Hui Liu; Jenny Morris; Zeev Frenkel; Avraham Korol; Hélène Bergès; Marius Felder
Barley (Hordeum vulgare L.) is among the world’s earliest domesticated and most important crop plants. It is diploid with a large haploid genome of 5.1 gigabases (Gb). Here we present an integrated and ordered physical, genetic and functional sequence resource that describes the barley gene-space in a structured whole-genome context. We developed a physical map of 4.98 Gb, with more than 3.90 Gb anchored to a high-resolution genetic map. Projecting a deep whole-genome shotgun assembly, complementary DNA and deep RNA sequence data onto this framework supports 79,379 transcript clusters, including 26,159 ‘high-confidence’ genes with homology support from other plant genomes. Abundant alternative splicing, premature termination codons and novel transcriptionally active regions suggest that post-transcriptional processing forms an important regulatory layer. Survey sequences from diverse accessions reveal a landscape of extensive single-nucleotide variation. Our data provide a platform for both genome-assisted research and enabling contemporary crop improvement.
Science | 2008
Etienne Paux; Pierre Sourdille; Jérôme Salse; Cyrille Saintenac; Frédéric Choulet; Philippe Leroy; Abraham B. Korol; Monika Michalak; Shahryar F. Kianian; Wolfgang Spielmeyer; Evans S. Lagudah; Daryl J. Somers; Andrzej Kilian; Michael Alaux; Sonia Vautrin; Hélène Bergès; Kellye Eversole; R. Appels; Jan Safar; Hana Šimková; Jaroslav Dolezel; M. Bernard; Catherine Feuillet
As the staple food for 35% of the worlds population, wheat is one of the most important crop species. To date, sequence-based tools to accelerate wheat improvement are lacking. As part of the international effort to sequence the 17–billion–base-pair hexaploid bread wheat genome (2n = 6x = 42 chromosomes), we constructed a bacterial artificial chromosome (BAC)–based integrated physical map of the largest chromosome, 3B, that alone is 995 megabases. A chromosome-specific BAC library was used to assemble 82% of the chromosome into 1036 contigs that were anchored with 1443 molecular markers, providing a major resource for genetic and genomic studies. This physical map establishes a template for the remaining wheat chromosomes and demonstrates the feasibility of constructing physical maps in large, complex, polyploid genomes with a chromosome-based approach.
Science | 2014
Frédéric Choulet; Adriana Alberti; Sébastien Theil; Natasha Glover; Valérie Barbe; Josquin Daron; Lise Pingault; Pierre Sourdille; Arnaud Couloux; Etienne Paux; Philippe Leroy; Sophie Mangenot; Nicolas Guilhot; Jacques Le Gouis; François Balfourier; Michael Alaux; Véronique Jamilloux; Julie Poulain; Céline Durand; Arnaud Bellec; Christine Gaspin; Jan Safar; Jaroslav Dolezel; Jane Rogers; Klaas Vandepoele; Jean-Marc Aury; Klaus F. X. Mayer; Hélène Bergès; Hadi Quesneville; Patrick Wincker
We produced a reference sequence of the 1-gigabase chromosome 3B of hexaploid bread wheat. By sequencing 8452 bacterial artificial chromosomes in pools, we assembled a sequence of 774 megabases carrying 5326 protein-coding genes, 1938 pseudogenes, and 85% of transposable elements. The distribution of structural and functional features along the chromosome revealed partitioning correlated with meiotic recombination. Comparative analyses indicated high wheat-specific inter- and intrachromosomal gene duplication activities that are potential sources of variability for adaption. In addition to providing a better understanding of the organization, function, and evolution of a large and polyploid genome, the availability of a high-quality sequence anchored to genetic maps will accelerate the identification of genes underlying important agronomic traits.
Molecular Plant-microbe Interactions | 2004
Anke Becker; Hélène Bergès; Elizaveta Krol; Claude Bruand; Silvia Rüberg; Delphine Capela; Emmanuelle Lauber; Eliane Meilhoc; Frédéric Ampe; Frans J. de Bruijn; Joëlle Fourment; Anne Francez-Charlot; Daniel Kahn; Helge Küster; Carine Liebe; Alfred Pühler; Stefan Weidner; Jacques Batut
Sinorhizobium meliloti is an alpha-proteobacterium that alternates between a free-living phase in bulk soil or in the rhizosphere of plants and a symbiotic phase within the host plant cells, where the bacteria ultimately differentiate into nitrogen-fixing organelle-like cells, called bacteroids. As a step toward understanding the physiology of S. meliloti in its free-living and symbiotic forms and the transition between the two, gene expression profiles were determined under two sets of biological conditions: growth under oxic versus microoxic conditions, and in free-living versus symbiotic state. Data acquisition was based on both macro- and microarrays. Transcriptome profiles highlighted a profound modification of gene expression during bacteroid differentiation, with 16% of genes being altered. The data are consistent with an overall slow down of bacteroid metabolism during adaptation to symbiotic life and acquisition of nitrogen fixation capability. A large number of genes of unknown function, including potential regulators, that may play a role in symbiosis were identified. Transcriptome profiling in response to oxygen limitation indicated that up to 5% of the genes were oxygen regulated. However, the microoxic and bacteroid transcriptomes only partially overlap, implying that oxygen contributes to a limited extent to the control of symbiotic gene expression.
Nature | 2017
Hélène Badouin; Jérôme Gouzy; Christopher J. Grassa; Florent Murat; S. Evan Staton; Ludovic Cottret; Christine Lelandais-Brière; Gregory L. Owens; Sébastien Carrère; Baptiste Mayjonade; Ludovic Legrand; Navdeep Gill; Nolan C. Kane; John E. Bowers; Sariel Hubner; Arnaud Bellec; Aurélie Bérard; Hélène Bergès; Nicolas Blanchet; Marie-Claude Boniface; Dominique Brunel; Olivier Catrice; Nadia Chaidir; Clotilde Claudel; Cécile Donnadieu; Thomas Faraut; Ghislain Fievet; Nicolas Helmstetter; Matthew King; Steven J. Knapp
The domesticated sunflower, Helianthus annuus L., is a global oil crop that has promise for climate change adaptation, because it can maintain stable yields across a wide variety of environmental conditions, including drought. Even greater resilience is achievable through the mining of resistance alleles from compatible wild sunflower relatives, including numerous extremophile species. Here we report a high-quality reference for the sunflower genome (3.6 gigabases), together with extensive transcriptomic data from vegetative and floral organs. The genome mostly consists of highly similar, related sequences and required single-molecule real-time sequencing technologies for successful assembly. Genome analyses enabled the reconstruction of the evolutionary history of the Asterids, further establishing the existence of a whole-genome triplication at the base of the Asterids II clade and a sunflower-specific whole-genome duplication around 29 million years ago. An integrative approach combining quantitative genetics, expression and diversity data permitted development of comprehensive gene networks for two major breeding traits, flowering time and oil metabolism, and revealed new candidate genes in these networks. We found that the genomic architecture of flowering time has been shaped by the most recent whole-genome duplication, which suggests that ancient paralogues can remain in the same regulatory networks for dozens of millions of years. This genome represents a cornerstone for future research programs aiming to exploit genetic diversity to improve biotic and abiotic stress resistance and oil production, while also considering agricultural constraints and human nutritional needs.
Tropical Plant Biology | 2011
Glaucia Mendes Souza; Hélène Bergès; Stéphanie Bocs; Rosanne E. Casu; Angélique D’Hont; João Eduardo Ferreira; Robert J Henry; Ray Ming; Bernard Potier; Marie-Anne Van Sluys; Michel Vincentz; Andrew H. Paterson
Sugarcane cultivars derive from interspecific hybrids obtained by crossing Saccharum officinarum and Saccharum spontaneum and provide feedstock used worldwide for sugar and biofuel production. The importance of sugarcane as a bioenergy feedstock has increased interest in the generation of new cultivars optimised for energy production. Cultivar improvement has relied largely on traditional breeding methods, which may be limited by the complexity of inheritance in interspecific polyploid hybrids, and the time-consuming process of selection of plants with desired agronomic traits. In this sense, molecular genetics can assist in the process of developing improved cultivars by generating molecular markers that can be used in the breeding process or by introducing new genes into the sugarcane genome. For meeting each of these, and additional goals, biotechnologists would benefit from a reference genome sequence of a sugarcane cultivar. The sugarcane genome poses challenges that have not been addressed in any prior sequencing project, due to its highly polyploid and aneuploid genome structure with a complete set of homeologous genes predicted to range from 10 to 12 copies (alleles) and to include representatives from each of two different species. Although sugarcane’s monoploid genome is about 1 Gb, its highly polymorphic nature represents another significant challenge for obtaining a genuine assembled monoploid genome. With a rich resource of expressed-sequence tag (EST) data in the public domain, the present article describes tools and strategies that may aid in the generation of a reference genome sequence.
Molecular Ecology Resources | 2016
Christophe Plomion; Jean-Marc Aury; Joelle Amselem; Tina Alaeitabar; Valérie Barbe; Caroline Belser; Hélène Bergès; Catherine Bodénès; Nathalie Boudet; Christophe Boury; Aurélie Canaguier; Arnaud Couloux; Corinne Da Silva; Sébastien Duplessis; François Ehrenmann; Barbara Estrada-Mairey; Stéphanie Fouteau; Nicolas Francillonne; Christine Gaspin; Cécile Guichard; Christophe Klopp; Karine Labadie; Céline Lalanne; Isabelle Le Clainche; Jean-Charles Leplé; Grégoire Le Provost; Thibault Leroy; Isabelle Lesur; Francis Martin; Jonathan Mercier
The 1.5 Gbp/2C genome of pedunculate oak (Quercus robur) has been sequenced. A strategy was established for dealing with the challenges imposed by the sequencing of such a large, complex and highly heterozygous genome by a whole‐genome shotgun (WGS) approach, without the use of costly and time‐consuming methods, such as fosmid or BAC clone‐based hierarchical sequencing methods. The sequencing strategy combined short and long reads. Over 49 million reads provided by Roche 454 GS‐FLX technology were assembled into contigs and combined with shorter Illumina sequence reads from paired‐end and mate‐pair libraries of different insert sizes, to build scaffolds. Errors were corrected and gaps filled with Illumina paired‐end reads and contaminants detected, resulting in a total of 17 910 scaffolds (>2 kb) corresponding to 1.34 Gb. Fifty per cent of the assembly was accounted for by 1468 scaffolds (N50 of 260 kb). Initial comparison with the phylogenetically related Prunus persica gene model indicated that genes for 84.6% of the proteins present in peach (mean protein coverage of 90.5%) were present in our assembly. The second and third steps in this project are genome annotation and the assignment of scaffolds to the oak genetic linkage map. In accordance with the Bermuda and Fort Lauderdale agreements and the more recent Toronto Statement, the oak genome data have been released into public sequence repositories in advance of publication. In this presubmission paper, the oak genome consortium describes its principal lines of work and future directions for analyses of the nature, function and evolution of the oak genome.
Plant Physiology | 2011
Camille Rustenholz; Frédéric Choulet; Christel Laugier; Jan Šafář; Hana Šimková; Jaroslav Doležel; Federica Magni; Simone Scalabrin; Federica Cattonaro; Sonia Vautrin; Arnaud Bellec; Hélène Bergès; Catherine Feuillet; Etienne Paux
To improve our understanding of the organization and regulation of the wheat (Triticum aestivum) gene space, we established a transcription map of a wheat chromosome (3B) by hybridizing a newly developed wheat expression microarray with bacterial artificial chromosome pools from a new version of the 3B physical map as well as with cDNA probes derived from 15 RNA samples. Mapping data for almost 3,000 genes showed that the gene space spans the whole chromosome 3B with a 2-fold increase of gene density toward the telomeres due to an increase in the number of genes in islands. Comparative analyses with rice (Oryza sativa) and Brachypodium distachyon revealed that these gene islands are composed mainly of genes likely originating from interchromosomal gene duplications. Gene Ontology and expression profile analyses for the 3,000 genes located along the chromosome revealed that the gene islands are enriched significantly in genes sharing the same function or expression profile, thereby suggesting that genes in islands acquired shared regulation during evolution. Only a small fraction of these clusters of cofunctional and coexpressed genes was conserved with rice and B. distachyon, indicating a recent origin. Finally, genes with the same expression profiles in remote islands (coregulation islands) were identified suggesting long-distance regulation of gene expression along the chromosomes in wheat.
BMC Genomics | 2014
Nathalia de Setta; Claudia B. Monteiro-Vitorello; Cushla J. Metcalfe; Guilherme Marcelo Queiroga Cruz; Luiz Eduardo Vieira Del Bem; Renato Vicentini; Fabio Tebaldi Silveira Nogueira; Roberta Alvares Campos; Sideny Lima Nunes; Paula Cristina Gasperazzo Turrini; Andréia Prata Vieira; Edgar Andrés Ochoa Cruz; Tatiana Caroline Silveira Corrêa; Carlos Takeshi Hotta; Alessandro M. Varani; Sonia Vautrin; Adilson Silva da Trindade; Mariane de Mendonça Vilela; Carolina G. Lembke; Paloma Mieko Sato; Rodrigo de Andrade; Milton Yutaka Nishiyama; Claudio Benicio Cardoso-Silva; Katia Castanho Scortecci; Antonio Augusto Franco Garcia; Monalisa Sampaio Carneiro; Changsoo Kim; Andrew H. Paterson; Hélène Bergès; Angélique D’Hont
BackgroundSugarcane is the source of sugar in all tropical and subtropical countries and is becoming increasingly important for bio-based fuels. However, its large (10 Gb), polyploid, complex genome has hindered genome based breeding efforts. Here we release the largest and most diverse set of sugarcane genome sequences to date, as part of an on-going initiative to provide a sugarcane genomic information resource, with the ultimate goal of producing a gold standard genome.ResultsThree hundred and seventeen chiefly euchromatic BACs were sequenced. A reference set of one thousand four hundred manually-annotated protein-coding genes was generated. A small RNA collection and a RNA-seq library were used to explore expression patterns and the sRNA landscape. In the sucrose and starch metabolism pathway, 16 non-redundant enzyme-encoding genes were identified. One of the sucrose pathway genes, sucrose-6-phosphate phosphohydrolase, is duplicated in sugarcane and sorghum, but not in rice and maize. A diversity analysis of the s6pp duplication region revealed haplotype-structured sequence composition. Examination of hom(e)ologous loci indicate both sequence structural and sRNA landscape variation. A synteny analysis shows that the sugarcane genome has expanded relative to the sorghum genome, largely due to the presence of transposable elements and uncharacterized intergenic and intronic sequences.ConclusionThis release of sugarcane genomic sequences will advance our understanding of sugarcane genetics and contribute to the development of molecular tools for breeding purposes and gene discovery.
Genome Biology | 2013
Romain Philippe; Etienne Paux; Isabelle Bertin; Pierre Sourdille; Frédéric Choulet; Christel Laugier; Hana Šimková; Jan Šafář; Arnaud Bellec; Sonia Vautrin; Zeev Frenkel; Federica Cattonaro; Federica Magni; Simone Scalabrin; Mihaela Martis; Klaus F. X. Mayer; Abraham B. Korol; Hélène Bergès; Jaroslav Doležel; Catherine Feuillet
BackgroundAs for other major crops, achieving a complete wheat genome sequence is essential for the application of genomics to breeding new and improved varieties. To overcome the complexities of the large, highly repetitive and hexaploid wheat genome, the International Wheat Genome Sequencing Consortium established a chromosome-based strategy that was validated by the construction of the physical map of chromosome 3B. Here, we present improved strategies for the construction of highly integrated and ordered wheat physical maps, using chromosome 1BL as a template, and illustrate their potential for evolutionary studies and map-based cloning.ResultsUsing a combination of novel high throughput marker assays and an assembly program, we developed a high quality physical map representing 93% of wheat chromosome 1BL, anchored and ordered with 5,489 markers including 1,161 genes. Analysis of the gene space organization and evolution revealed that gene distribution and conservation along the chromosome results from the superimposition of the ancestral grass and recent wheat evolutionary patterns, leading to a peak of synteny in the central part of the chromosome arm and an increased density of non-collinear genes towards the telomere. With a density of about 11 markers per Mb, the 1BL physical map provides 916 markers, including 193 genes, for fine mapping the 40 QTLs mapped on this chromosome.ConclusionsHere, we demonstrate that high marker density physical maps can be developed in complex genomes such as wheat to accelerate map-based cloning, gain new insights into genome evolution, and provide a foundation for reference sequencing.