Michael Alaux
Institut national de la recherche agronomique
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Publication
Featured researches published by Michael Alaux.
Nature | 2007
Olivier Jaillon; Jean-Marc Aury; Benjamin Noel; Alberto Policriti; Christian Clepet; Alberto Casagrande; Nathalie Choisne; Sébastien Aubourg; Nicola Vitulo; Claire Jubin; Alessandro Vezzi; Fabrice Legeai; Philippe Hugueney; Corinne Dasilva; David S. Horner; Erica Mica; Delphine Jublot; Julie Poulain; Clémence Bruyère; Alain Billault; Béatrice Segurens; Michel Gouyvenoux; Edgardo Ugarte; Federica Cattonaro; Véronique Anthouard; Virginie Vico; Cristian Del Fabbro; Michael Alaux; Gabriele Di Gaspero; Vincent Dumas
The analysis of the first plant genomes provided unexpected evidence for genome duplication events in species that had previously been considered as true diploids on the basis of their genetics. These polyploidization events may have had important consequences in plant evolution, in particular for species radiation and adaptation and for the modulation of functional capacities. Here we report a high-quality draft of the genome sequence of grapevine (Vitis vinifera) obtained from a highly homozygous genotype. The draft sequence of the grapevine genome is the fourth one produced so far for flowering plants, the second for a woody species and the first for a fruit crop (cultivated for both fruit and beverage). Grapevine was selected because of its important place in the cultural heritage of humanity beginning during the Neolithic period. Several large expansions of gene families with roles in aromatic features are observed. The grapevine genome has not undergone recent genome duplication, thus enabling the discovery of ancestral traits and features of the genetic organization of flowering plants. This analysis reveals the contribution of three ancestral genomes to the grapevine haploid content. This ancestral arrangement is common to many dicotyledonous plants but is absent from the genome of rice, which is a monocotyledon. Furthermore, we explain the chronology of previously described whole-genome duplication events in the evolution of flowering plants.
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.
Plant Journal | 2013
Caroline Pont; Florent Murat; Sébastien Guizard; Raphael Flores; Séverine Foucrier; Yannick Bidet; Umar Masood Quraishi; Michael Alaux; Jaroslav Doležel; Tzion Fahima; Hikmet Budak; Beat Keller; Silvio Salvi; Marco Maccaferri; Delphine Steinbach; Catherine Feuillet; Hadi Quesneville; Jérôme Salse
Bread wheat derives from a grass ancestor structured in seven protochromosomes followed by a paleotetraploidization to reach a 12 chromosomes intermediate and a neohexaploidization (involving subgenomes A, B and D) event that finally shaped the 21 modern chromosomes. Insights into wheat syntenome in sequencing conserved orthologous set (COS) genes unravelled differences in genomic structure (such as gene conservation and diversity) and genetical landscape (such as recombination pattern) between ancestral as well as recent duplicated blocks. Contrasted evolutionary plasticity is observed where the B subgenome appears more sensitive (i.e. plastic) in contrast to A as dominant (i.e. stable) in response to the neotetraploidization and D subgenome as supra-dominant (i.e. pivotal) in response to the neohexaploidization event. Finally, the wheat syntenome, delivered through a public web interface PlantSyntenyViewer at http://urgi.versailles.inra.fr/synteny-wheat, can be considered as a guide for accelerated dissection of major agronomical traits in wheat.
Frontiers in Plant Science | 2012
Philippe Leroy; Nicolas Guilhot; Hiroaki Sakai; Aurélien Bernard; Frédéric Choulet; Sébastien Theil; Sébastien Reboux; Naoki Amano; Timothée Flutre; Céline Pelegrin; Hajime Ohyanagi; Michael Seidel; Franck Giacomoni; Mathieu Reichstadt; Michael Alaux; Emmanuelle Gicquello; Fabrice Legeai; Lorenzo Cerutti; Hisataka Numa; Tsuyoshi Tanaka; Klaus F. X. Mayer; Takeshi Itoh; Hadi Quesneville; Catherine Feuillet
In support of the international effort to obtain a reference sequence of the bread wheat genome and to provide plant communities dealing with large and complex genomes with a versatile, easy-to-use online automated tool for annotation, we have developed the TriAnnot pipeline. Its modular architecture allows for the annotation and masking of transposable elements, the structural, and functional annotation of protein-coding genes with an evidence-based quality indexing, and the identification of conserved non-coding sequences and molecular markers. The TriAnnot pipeline is parallelized on a 712 CPU computing cluster that can run a 1-Gb sequence annotation in less than 5 days. It is accessible through a web interface for small scale analyses or through a server for large scale annotations. The performance of TriAnnot was evaluated in terms of sensitivity, specificity, and general fitness using curated reference sequence sets from rice and wheat. In less than 8 h, TriAnnot was able to predict more than 83% of the 3,748 CDS from rice chromosome 1 with a fitness of 67.4%. On a set of 12 reference Mb-sized contigs from wheat chromosome 3B, TriAnnot predicted and annotated 93.3% of the genes among which 54% were perfectly identified in accordance with the reference annotation. It also allowed the curation of 12 genes based on new biological evidences, increasing the percentage of perfect gene prediction to 63%. TriAnnot systematically showed a higher fitness than other annotation pipelines that are not improved for wheat. As it is easily adaptable to the annotation of other plant genomes, TriAnnot should become a useful resource for the annotation of large and complex genomes in the future.
Database | 2013
Delphine Steinbach; Michael Alaux; Joelle Amselem; Nathalie Choisne; Sophie Durand; Raphael Flores; Aminah-Olivia Keliet; Erik Kimmel; Nicolas Lapalu; Isabelle Luyten; Célia Michotey; Nacer Mohellibi; Cyril Pommier; Sébastien Reboux; Dorothée Valdenaire; Daphné Verdelet; Hadi Quesneville
Data integration is a key challenge for modern bioinformatics. It aims to provide biologists with tools to explore relevant data produced by different studies. Large-scale international projects can generate lots of heterogeneous and unrelated data. The challenge is to integrate this information with other publicly available data. Nucleotide sequencing throughput has been improved with new technologies; this increases the need for powerful information systems able to store, manage and explore data. GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, markers, single nucleotide polymorphisms, germplasms and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. Here, we illustrate its use. Database URL: http://urgi.versailles.inra.fr/gnpis
Annals of Botany | 2011
Aurélie C. M. Vialette-Guiraud; Michael Alaux; Fabrice Legeai; Cédric Finet; Pierre Chambrier; Spencer C. Brown; Aurelie Chauvet; Carlos Magdalena; Paula J. Rudall; Charles P. Scutt
BACKGROUND The angiosperms, or flowering plants, diversified in the Cretaceous to dominate almost all terrestrial environments. Molecular phylogenetic studies indicate that the orders Amborellales, Nymphaeales and Austrobaileyales, collectively termed the ANA grade, diverged as separate lineages from a remaining angiosperm clade at a very early stage in flowering plant evolution. By comparing these early diverging lineages, it is possible to infer the possible morphology and ecology of the last common ancestor of the extant angiosperms, and this analysis can now be extended to try to deduce the developmental mechanisms that were present in early flowering plants. However, not all species in the ANA grade form convenient molecular-genetic models. SCOPE The present study reviews the genus Cabomba (Nymphaeales), which shows a range of features that make it potentially useful as a genetic model. We focus on characters that have probably been conserved since the last common ancestor of the extant flowering plants. To facilitate the use of Cabomba as a molecular model, we describe methods for its cultivation to flowering in the laboratory, a novel Cabomba flower expressed sequence tag database, a well-adapted in situ hybridization protocol and a measurement of the nuclear genome size of C. caroliniana. We discuss the features required for species to become tractable models, and discuss the relative merits of Cabomba and other ANA-grade angiosperms in molecular-genetic studies aimed at understanding the origin of the flowering plants.
Functional & Integrative Genomics | 2008
Etienne Paux; Fabrice Legeai; Nicolas Guilhot; Anne-Françoise Adam-Blondon; Michael Alaux; Jérôme Salse; Pierre Sourdille; Philippe Leroy; Catherine Feuillet
Anchored physical maps represent essential frameworks for map-based cloning, comparative genomics studies, and genome sequencing projects. High throughput anchoring can be achieved by polymerase chain reaction (PCR) screening of bacterial artificial chromosome (BAC) library pools with molecular markers. However, for large genomes such as wheat, the development of high dimension pools and the number of reactions that need to be performed can be extremely large making the screening laborious and costly. To improve the cost efficiency of anchoring in such large genomes, we have developed a new software named Elephant (electronic physical map anchoring tool) that combines BAC contig information generated by FingerPrinted Contig with results of BAC library pools screening to identify BAC addresses with a minimal amount of PCR reactions. Elephant was evaluated during the construction of a physical map of chromosome 3B of hexaploid wheat. Results show that a one dimensional pool screening can be sufficient to anchor a BAC contig while reducing the number of PCR by 384-fold thereby demonstrating that Elephant is an efficient and cost-effective tool to support physical mapping in large genomes.
Horticulture research | 2016
Anne-Françoise Adam-Blondon; Michael Alaux; Cyril Pommier; Dario Cantu; Z. M. Cheng; Grant R. Cramer; C. Davies; Serge Delrot; Laurent G. Deluc; G. Di Gaspero; Jérôme Grimplet; Anne Fennell; Jason P. Londo; Paul J. Kersey; Fulvio Mattivi; Sushma Naithani; Pascal Neveu; M. Nikolski; Mario Pezzotti; Bruce I. Reisch; R. Topfer; Melané A. Vivier; Doreen Ware; Hadi Quesneville
Viticulture, like other fields of agriculture, is currently facing important challenges that will be addressed only through sustained, dedicated and coordinated research. Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature, in many domains of study, including grapevine research, there is a need to improve the findability, accessibility, interoperability and reusability (FAIR-ness) of these data. Considering the heterogeneous nature of the data produced, the transnational nature of the scientific community and the experience gained elsewhere, we have formed an open working group, in the framework of the International Grapevine Genome Program (www.vitaceae.org), to construct a coordinated federation of information systems holding grapevine data distributed around the world, providing an integrated set of interfaces supporting advanced data modeling, rich semantic integration and the next generation of data mining tools. To achieve this goal, it will be critical to develop, implement and adopt appropriate standards for data annotation and formatting. The development of this system, the GrapeIS, linking genotypes to phenotypes, and scientific research to agronomical and oeneological data, should provide new insights into grape biology, and allow the development of new varieties to meet the challenges of biotic and abiotic stress, environmental change, and consumer demand.
BMC Plant Biology | 2015
Kateřina Cviková; Federica Cattonaro; Michael Alaux; Nils Stein; Klaus F. X. Mayer; Jaroslav Doležel; Jan Bartoš
BackgroundPhysical maps created from large insert DNA libraries, typically cloned in BAC vector, are valuable resources for map-based cloning and de novo genome sequencing. The maps are most useful if contigs of overlapping DNA clones are anchored to chromosome(s), and ordered along them using molecular markers. Here we present a novel approach for anchoring physical maps, based on sequencing three-dimensional pools of BAC clones from minimum tilling path.ResultsWe used physical map of wheat chromosome arm 3DS to validate the method with two different DNA sequence datasets. The first comprised 567 genes ordered along the chromosome arm based on syntenic relationship of wheat with the sequenced genomes of Brachypodium, rice and sorghum. The second dataset consisted of 7,136 SNP-containing sequences, which were mapped genetically in Aegilops tauschii, the donor of the wheat D genome. Mapping of sequence reads from individual BAC pools to the first and the second datasets enabled unambiguous anchoring 447 and 311 3DS-specific sequences, respectively, or 758 in total.ConclusionsWe demonstrate the utility of the novel approach for BAC contig anchoring based on mass parallel sequencing of three-dimensional pools prepared from minimum tilling path of physical map. The existing genetic markers as well as any other DNA sequence could be mapped to BAC clones in a single in silico experiment. The approach reduces significantly the cost and time needed for anchoring and is applicable to any genomic project involving the construction of anchored physical map.