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Dive into the research topics where Alain Vignal is active.

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Featured researches published by Alain Vignal.


Nature Genetics | 1994

The 1993-94 Généthon human genetic linkage map.

Gabor Gyapay; Jean Morissette; Alain Vignal; Colette Dib; Philippe Millasseau; Sophie Marc; Giorgio Bernardi; Mark Lathrop; Jean Weissenbach

In 1992, we described a second-generation genetic linkage map of the human genome. Using 1,267 new microsatellite markers, we now present a new genetic linkage map containing a total of 2,066 (AC)n short tandem repeats, 60% of which show a heterozygosity of over 0.7. Statistical linkage analysis based on the genotyping of eight large CEPH families placed these markers in the 23 linkage groups. The map includes 1,266 intervals and spans a total distance of 3690 centiMorgans (cM). A total of 1,041 markers could be ordered with odds ratios greater than 1000:1. About 56% of this map is at a distance of 1 cM or less from one of its markers.


Genetics Selection Evolution | 2002

A review on SNP and other types of molecular markers and their use in animal genetics

Alain Vignal; Denis Milan; Magali SanCristobal; A. Eggen

During the last ten years, the use of molecular markers, revealing polymorphism at the DNA level, has been playing an increasing part in animal genetics studies. Amongst others, the microsatellite DNA marker has been the most widely used, due to its easy use by simple PCR, followed by a denaturing gel electrophoresis for allele size determination, and to the high degree of information provided by its large number of alleles per locus. Despite this, a new marker type, named SNP, for Single Nucleotide Polymorphism, is now on the scene and has gained high popularity, even though it is only a bi-allelic type of marker. In this review, we will discuss the reasons for this apparent step backwards, and the pertinence of the use of SNPs in animal genetics, in comparison with other marker types.


Genetics Selection Evolution | 2003

Biodiversity of 52 chicken populations assessed by microsatellite typing of DNA pools

M.A.M. Groenen; Michèle Tixier-Boichard; Abraham B. Korol; Lior David; Valery M. Kirzhner; Terry Burke; Asili Barre-Dirie; R.P.M.A. Crooijmans; Kari Elo; Marcus W. Feldman; Paul J. Freidlin; Asko Mäki-Tanila; Marian Oortwijn; Pippa Thomson; Alain Vignal; Klaus Wimmers; Steffen Weigend

In a project on the biodiversity of chickens funded by the European Commission (EC), eight laboratories collaborated to assess the genetic variation within and between 52 populations from a wide range of chicken types. Twenty-two di-nucleotide microsatellite markers were used to genotype DNA pools of 50 birds from each population. The polymorphism measures for the average, the least polymorphic population (inbred C line) and the most polymorphic population (Gallus gallus spadiceus) were, respectively, as follows: number of alleles per locus, per population: 3.5, 1.3 and 5.2; average gene diversity across markers: 0.47, 0.05 and 0.64; and proportion of polymorphic markers: 0.91, 0.25 and 1.0. These were in good agreement with the breeding history of the populations. For instance, unselected populations were found to be more polymorphic than selected breeds such as layers. Thus DNA pools are effective in the preliminary assessment of genetic variation of populations and markers. Mean genetic distance indicates the extent to which a given population shares its genetic diversity with that of the whole tested gene pool and is a useful criterion for conservation of diversity. The distribution of population-specific (private) alleles and the amount of genetic variation shared among populations supports the hypothesis that the red jungle fowl is the main progenitor of the domesticated chicken.


Nature Genetics | 2013

The duck genome and transcriptome provide insight into an avian influenza virus reservoir species

Yinhua Huang; Yingrui Li; David W. Burt; Hualan Chen; Yong Zhang; Wubin Qian; Heebal Kim; Shangquan Gan; Yiqiang Zhao; Jianwen Li; Kang Yi; Huapeng Feng; Pengyang Zhu; Bo Li; Qiuyue Liu; Suan Fairley; Katharine E. Magor; Zhenlin Du; Xiaoxiang Hu; Laurie Goodman; Hakim Tafer; Alain Vignal; Taeheon Lee; Kyu-Won Kim; Zheya Sheng; Yang An; Steve Searle; Javier Herrero; M.A.M. Groenen; Richard P.M.A. Crooijmans

The duck (Anas platyrhynchos) is one of the principal natural hosts of influenza A viruses. We present the duck genome sequence and perform deep transcriptome analyses to investigate immune-related genes. Our data indicate that the duck possesses a contractive immune gene repertoire, as in chicken and zebra finch, and this repertoire has been shaped through lineage-specific duplications. We identify genes that are responsive to influenza A viruses using the lung transcriptomes of control ducks and ones that were infected with either a highly pathogenic (A/duck/Hubei/49/05) or a weakly pathogenic (A/goose/Hubei/65/05) H5N1 virus. Further, we show how the ducks defense mechanisms against influenza infection have been optimized through the diversification of its β-defensin and butyrophilin-like repertoires. These analyses, in combination with the genomic and transcriptomic data, provide a resource for characterizing the interaction between host and influenza viruses.


Genetics | 2004

Molecular Cytogenetic Definition of the Chicken Genome: The First Complete Avian Karyotype

Julio S. Masabanda; David W. Burt; Patricia C. M. O'Brien; Alain Vignal; Valerie Fillon; Philippa S. Walsh; Helen Cox; Helen G. Tempest; Jacqueline Smith; Felix A. Habermann; Yoichi Matsuda; Malcolm A. Ferguson-Smith; Richard P.M.A. Crooijmans; M.A.M. Groenen; Darren K. Griffin

Chicken genome mapping is important for a range of scientific disciplines. The ability to distinguish chromosomes of the chicken and other birds is thus a priority. Here we describe the molecular cytogenetic characterization of each chicken chromosome using chromosome painting and mapping of individual clones by FISH. Where possible, we have assigned the chromosomes to known linkage groups. We propose, on the basis of size, that the NOR chromosome is approximately the size of chromosome 22; however, we suggest that its original assignment of 16 should be retained. We also suggest a definitive chromosome classification system and propose that the probes developed here will find wide utility in the fields of developmental biology, DT40 studies, agriculture, vertebrate genome organization, and comparative mapping of avian species.


BMC Genomics | 2008

Whole genome comparative studies between chicken and turkey and their implications for avian genome evolution

Darren K. Griffin; Lindsay Robertson; Helen G. Tempest; Alain Vignal; Valerie Fillon; Richard P.M.A. Crooijmans; M.A.M. Groenen; Svetlana Deryusheva; Elena Gaginskaya; Wilfrid Carre; D. Waddington; Richard Talbot; Martin Völker; Julio S. Masabanda; Dave Burt

BackgroundComparative genomics is a powerful means of establishing inter-specific relationships between gene function/location and allows insight into genomic rearrangements, conservation and evolutionary phylogeny. The availability of the complete sequence of the chicken genome has initiated the development of detailed genomic information in other birds including turkey, an agriculturally important species where mapping has hitherto focused on linkage with limited physical information. No molecular study has yet examined conservation of avian microchromosomes, nor differences in copy number variants (CNVs) between birds.ResultsWe present a detailed comparative cytogenetic map between chicken and turkey based on reciprocal chromosome painting and mapping of 338 chicken BACs to turkey metaphases. Two inter-chromosomal changes (both involving centromeres) and three pericentric inversions have been identified between chicken and turkey; and array CGH identified 16 inter-specific CNVs.ConclusionThis is the first study to combine the modalities of zoo-FISH and array CGH between different avian species. The first insight into the conservation of microchromosomes, the first comparative cytogenetic map of any bird and the first appraisal of CNVs between birds is provided. Results suggest that avian genomes have remained relatively stable during evolution compared to mammalian equivalents.


Journal of Biological Chemistry | 2007

Cloning of Ovocalyxin-36, a Novel Chicken Eggshell Protein Related to Lipopolysaccharide-binding Proteins, Bactericidal Permeability-increasing Proteins, and Plunc Family Proteins

Joël Gautron; Emi Murayama; Alain Vignal; Mireille Morisson; Marc D. McKee; Sophie M. Réhault; Valérie Labas; Maya Belghazi; Mary-Laure Vidal; Yves Nys; Maxwell T. Hincke

The avian eggshell is a composite biomaterial composed of noncalcifying eggshell membranes and the overlying calcified shell matrix. The shell is deposited in a uterine fluid where the concentration of different protein species varies at different stages of its formation. The role of avian eggshell proteins during shell formation remains poorly understood, and we have sought to identify and characterize the individual components in order to gain insight into their function during elaboration of the eggshell. In this study, we have used direct sequencing, immunochemistry, expression screening, and EST data base mining to clone and characterize a 1995-bp full-length cDNA sequence corresponding to a novel chicken eggshell protein that we have named Ovocalyxin-36 (OCX-36). Ovocalyxin-36 protein was only detected in the regions of the oviduct where egg-shell formation takes place; uterine OCX-36 message was strongly up-regulated during eggshell calcification. OCX-36 localized to the calcified eggshell predominantly in the inner part of the shell, and to the shell membranes. BlastN data base searching indicates that there is no mammalian version of OCX-36; however, the protein sequence is 20–25% homologous to proteins associated with the innate immune response as follows: lipopolysaccharide-binding proteins, bactericidal permeability-increasing proteins, and Plunc family proteins. Moreover, the genomic organization of these proteins and OCX-36 appears to be highly conserved. These observations suggest that OCX-36 is a novel and specific chicken eggshell protein related to the superfamily of lipopolysaccharide-binding proteins/bactericidal permeability-increasing proteins and Plunc proteins. OCX-36 may therefore participate in natural defense mechanisms that keep the egg free of pathogens.


BMC Genomics | 2006

Integrated maps in quail (Coturnix japonica) confirm the high degree of synteny conservation with chicken (Gallus gallus) despite 35 million years of divergence

Boniface B. Kayang; Valerie Fillon; Miho Inoue-Murayama; Mitsuru Miwa; Sophie Leroux; Katia Feve; J. L. Monvoisin; Frédérique Pitel; Matthieu Vignoles; Céline Mouilhayrat; Catherine Beaumont; Shin-ichi Ito; Francis Minvielle; Alain Vignal

BackgroundBy comparing the quail genome with that of chicken, chromosome rearrangements that have occurred in these two galliform species over 35 million years of evolution can be detected. From a more practical point of view, the definition of conserved syntenies helps to predict the position of genes in quail, based on information taken from the chicken sequence, thus enhancing the utility of this species in biological studies through a better knowledge of its genome structure. A microsatellite and an Amplified Fragment Length Polymorphism (AFLP) genetic map were previously published for quail, as well as comparative cytogenetic data with chicken for macrochromosomes. Quail genomics will benefit from the extension and the integration of these maps.ResultsThe integrated linkage map presented here is based on segregation analysis of both anonymous markers and functional gene loci in 1,050 quail from three independent F2 populations. Ninety-two loci are resolved into 14 autosomal linkage groups and a Z chromosome-specific linkage group, aligned with the quail AFLP map. The size of linkage groups ranges from 7.8 cM to 274.8 cM. The total map distance covers 904.3 cM with an average spacing of 9.7 cM between loci. The coverage is not complete, as macrochromosome CJA08, the gonosome CJAW and 23 microchromosomes have no marker assigned yet. Significant sequence identities of quail markers with chicken enabled the alignment of the quail linkage groups on the chicken genome sequence assembly. This, together with interspecific Fluorescence In Situ Hybridization (FISH), revealed very high similarities in marker order between the two species for the eight macrochromosomes and the 14 microchromosomes studied.ConclusionIntegrating the two microsatellite and the AFLP quail genetic maps greatly enhances the quality of the resulting information and will thus facilitate the identification of Quantitative Trait Loci (QTL). The alignment with the chicken chromosomes confirms the high conservation of gene order that was expected between the two species for macrochromosomes. By extending the comparative study to the microchromosomes, we suggest that a wealth of information can be mined in chicken, to be used for genome analyses in quail.


Genetics Selection Evolution | 2010

Genetic control of resistance to salmonellosis and to Salmonella carrier-state in fowl: a review

Fanny Calenge; Peter K. Kaiser; Alain Vignal; Catherine Beaumont

Salmonellosis is a frequent disease in poultry stocks, caused by several serotypes of the bacterial species Salmonella enterica and sometimes transmitted to humans through the consumption of contaminated meat or eggs. Symptom-free carriers of the bacteria contribute greatly to the propagation of the disease in poultry stocks. So far, several candidate genes and quantitative trait loci (QTL) for resistance to carrier state or to acute disease have been identified using artificial infection of S. enterica serovar Enteritidis or S. enterica serovar Typhimurium strains in diverse genetic backgrounds, with several different infection procedures and phenotypic assessment protocols. This diversity in experimental conditions has led to a complex sum of results, but allows a more complete description of the disease. Comparisons among studies show that genes controlling resistance to Salmonella differ according to the chicken line studied, the trait assessed and the chickens age. The loci identified are located on 25 of the 38 chicken autosomal chromosomes. Some of these loci are clustered in several genomic regions, indicating the possibility of a common genetic control for different models. In particular, the genomic regions carrying the candidate genes TLR4 and SLC11A1, the Major Histocompatibility Complex (MHC) and the QTL SAL1 are interesting for more in-depth studies. This article reviews the main Salmonella infection models and chicken lines studied under a historical perspective and then the candidate genes and QTL identified so far.


Genetics Selection Evolution | 2002

ChickRH6: a chicken whole-genome radiation hybrid panel

Mireille Morisson; Alexandre Lemière; Sarah Bosc; Maxime Galan; Florence Plisson-Petit; Philippe Pinton; Chantal Delcros; Katia Feve; Frédérique Pitel; Valerie Fillon; M. Yerle; Alain Vignal

As a first step towards the development of radiation hybrid maps, we have produced a radiation hybrid panel in the chicken by fusing female embryonic diploid fibroblasts irradiated at 6 000 rads with HPRT-deficient hamster Wg3hCl2 cells. Due to the low retention frequency of the chicken fragments, a high number of clones was produced from which the best ones were selected. Thus, 452 fusion clones were tested for retention frequencies with a panel of 46 markers. Based on these results, 103 clones with a mean marker retention of 23.8% were selected for large scale culture to produce DNA in sufficient quantities for the genotyping of numerous markers. Retention frequency was tested again with the same 46 markers and the 90 best clones, with a final mean retention frequency of 21.9%, were selected for the final panel. This panel will be a valuable resource for fine mapping of markers and genes in the chicken, and will also help in building BAC contigs.

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Dive into the Alain Vignal's collaboration.

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Frédérique Pitel

Institut national de la recherche agronomique

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Catherine Beaumont

Institut national de la recherche agronomique

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Mireille Morisson

Institut national de la recherche agronomique

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Katia Feve

Institut national de la recherche agronomique

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Sophie Leroux

Institut national de la recherche agronomique

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Valerie Fillon

Institut national de la recherche agronomique

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M.A.M. Groenen

Wageningen University and Research Centre

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David Gourichon

Institut national de la recherche agronomique

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Florence Vignoles

Institut national de la recherche agronomique

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Francis Minvielle

Institut national de la recherche agronomique

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