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Dive into the research topics where Olivier Demeure is active.

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Featured researches published by Olivier Demeure.


Mammalian Genome | 2003

Rearranged gene order between pig and human in a QTL region on SSC 7

Olivier Demeure; Christine Renard; M. Yerle; Thomas Faraut; Juliette Riquet; Annie Robic; Thomas Schiex; Anette Rink; Denis Milan

On porcine Chromosome 7, the region surrounding the MHC region contains QTL influencing many traits including growth, back fat thickness, and carcass composition. Towards the identification of the responsible gene(s), this article describes an increase of density of the radiated hybrid map of SSC 7 in the q11-q14 region and the comparative analysis of gene order on the porcine RH map and human genome assembly. Adding 24 new genes in this region, we were able to build a framework map that fills in gaps on the previous maps. The new software Carthagene was used to build a robust framework in this region. Comparative analysis of human and porcine maps revealed a global conservation of gene order and of distances between genes. A rearranged fragment of around 3.7 Mb was, however, found in the pig approximately 20 Mb upstream from the expected location on the basis of the human map. This rearrangement, found by RH mapping on the IMpRH 7.000 rads panel, has been confirmed by two-color FISH and by mapping on the high resolution IMNpRH2 12.000 rads panel. The rearranged fragment contains two microsatellites found at the most likely QTL location in the INRA QTL experiment. It also contains the BMP5 gene, which, together with CLPS, could be considered as a possible candidate.


PLOS ONE | 2011

Detection of a Cis eQTL Controlling BMCO1 Gene Expression Leads to the Identification of a QTG for Chicken Breast Meat Color

Elisabeth Le Bihan-Duval; Javad Nadaf; Cécile Berri; Frédérique Pitel; Benoît Graulet; Estelle Godet; Sophie Leroux; Olivier Demeure; Sandrine Lagarrigue; Cécile Duby; Larry A. Cogburn; Catherine Beaumont; M. J. Duclos

Classical quantitative trait loci (QTL) analysis and gene expression QTL (eQTL) were combined to identify the causal gene (or QTG) underlying a highly significant QTL controlling the variation of breast meat color in a F2 cross between divergent high-growth (HG) and low-growth (LG) chicken lines. Within this meat quality QTL, BCMO1 (Accession number GenBank: AJ271386), encoding the β-carotene 15, 15′-monooxygenase, a key enzyme in the conversion of β-carotene into colorless retinal, was a good functional candidate. Analysis of the abundance of BCMO1 mRNA in breast muscle of the HG x LG F2 population allowed for the identification of a strong cis eQTL. Moreover, reevaluation of the color QTL taking BCMO1 mRNA levels as a covariate indicated that BCMO1 mRNA levels entirely explained the variations in meat color. Two fully-linked single nucleotide polymorphisms (SNP) located within the proximal promoter of BCMO1 gene were identified. Haplotype substitution resulted in a marked difference in BCMO1 promoter activity in vitro. The association study in the F2 population revealed a three-fold difference in BCMO1 expression leading to a difference of 1 standard deviation in yellow color between the homozygous birds at this haplotype. This difference in meat yellow color was fully consistent with the difference in carotenoid content (i.e. lutein and zeaxanthin) evidenced between the two alternative haplotypes. A significant association between the haplotype, the level of BCMO1 expression and the yellow color of the meat was also recovered in an unrelated commercial broiler population. The mutation could be of economic importance for poultry production by making possible a gene-assisted selection for color, a determining aspect of meat quality. Moreover, this natural genetic diversity constitutes a new model for the study of β-carotene metabolism which may act upon diverse biological processes as precursor of the vitamin A.


Genetics Selection Evolution | 2006

Fatness QTL on chicken chromosome 5 and interaction with sex

Behnam Abasht; Frédérique Pitel; Sandrine Lagarrigue; Elisabeth Le Bihan-Duval; Pascale Le Roy; Olivier Demeure; Florence Vignoles; Jean Simon; Larry A. Cogburn; S. E. Aggrey; Alain Vignal; Madeleine Douaire

Quantitative trait loci (QTL) affecting fatness in male chickens were previously identified on chromosome 5 (GGA5) in a three-generation design derived from two experimental chicken lines divergently selected for abdominal fat weight. A new design, established from the same pure lines, produced 407 F2 progenies (males and females) from 4 F1-sire families. Body weight and abdominal fat were measured on the F2 at 9 wk of age. In each sire family, selective genotyping was carried out for 48 extreme individuals for abdominal fat using seven microsatellite markers from GGA5. QTL analyses confirmed the presence of QTL for fatness on GGA5 and identified a QTL by sex interaction. By crossing one F1 sire heterozygous at the QTL with lean line dams, three recombinant backcross 1 (BC1) males were produced and their QTL genotypes were assessed in backcross 2 (BC2) progenies. These results confirmed the QTL by sex interaction identified in the F2 generation and they allow mapping of the female QTL to less than 8 Mb at the distal part of the GGA5. They also indicate that fat QTL alleles were segregating in both fat and lean lines.


BMC Genomics | 2006

High resolution physical map of porcine chromosome 7 QTL region and comparative mapping of this region among vertebrate genomes

Julie Demars; Juliette Riquet; Katia Feve; Mathieu Gautier; Mireille Morisson; Olivier Demeure; Christine Renard; Patrick Chardon; Denis Milan

BackgroundOn porcine chromosome 7, the region surrounding the Major Histocompatibility Complex (MHC) contains several Quantitative Trait Loci (QTL) influencing many traits including growth, back fat thickness and carcass composition. Previous studies highlighted that a fragment of ~3.7 Mb is located within the Swine Leucocyte Antigen (SLA) complex. Internal rearrangements of this fragment were suggested, and partial contigs had been built, but further characterization of this region and identification of all human chromosomal fragments orthologous to this porcine fragment had to be carried out.ResultsA whole physical map of the region was constructed by integrating Radiation Hybrid (RH) mapping, BAC fingerprinting data of the INRA BAC library and anchoring BAC end sequences on the human genome. 17 genes and 2 reference microsatellites were ordered on the high resolution IMNpRH212000rad Radiation Hybrid panel. A 1000:1 framework map covering 550 cR12000 was established and a complete contig of the region was developed. New micro rearrangements were highlighted between the porcine and human genomes. A bovine RH map was also developed in this region by mapping 16 genes. Comparison of the organization of this region in pig, cattle, human, mouse, dog and chicken genomes revealed that 1) the translocation of the fragment described previously is observed only on the bovine and porcine genomes and 2) the new internal micro rearrangements are specific of the porcine genome.ConclusionWe estimate that the region contains several rearrangements and covers 5.2 Mb of the porcine genome. The study of this complete BAC contig showed that human chromosomal fragments homologs of this heavily rearranged QTL region are all located in the region of HSA6 that surrounds the centromere. This work allows us to define a list of all candidate genes that could explain these QTL effects.


Genetics | 2013

Analysis of Allele-Specific Expression in Mouse Liver by RNA-Seq: A Comparison With Cis -eQTL Identified Using Genetic Linkage

Sandrine Lagarrigue; Lisa J. Martin; Farhad Hormozdiari; Pierre-François Roux; Calvin Pan; Atila van Nas; Olivier Demeure; Rita M. Cantor; Anatole Ghazalpour; Eleazar Eskin; Aldons J. Lusis

We report an analysis of allele-specific expression (ASE) and parent-of-origin expression in adult mouse liver using next generation sequencing (RNA-Seq) of reciprocal crosses of heterozygous F1 mice from the parental strains C57BL/6J and DBA/2J. We found a 60% overlap between genes exhibiting ASE and putative cis-acting expression quantitative trait loci (cis-eQTL) identified in an intercross between the same strains. We discuss the various biological and technical factors that contribute to the differences. We also identify genes exhibiting parental imprinting and complex expression patterns. Our study demonstrates the importance of biological replicates to limit the number of false positives with RNA-Seq data.


PLOS ONE | 2012

The duplicated genes database: identification and functional annotation of co-localised duplicated genes across genomes.

Marion Ouedraogo; Charles Bettembourg; Anthony Bretaudeau; Olivier Sallou; Christian Diot; Olivier Demeure; Frédéric Lecerf

Background There has been a surge in studies linking genome structure and gene expression, with special focus on duplicated genes. Although initially duplicated from the same sequence, duplicated genes can diverge strongly over evolution and take on different functions or regulated expression. However, information on the function and expression of duplicated genes remains sparse. Identifying groups of duplicated genes in different genomes and characterizing their expression and function would therefore be of great interest to the research community. The ‘Duplicated Genes Database’ (DGD) was developed for this purpose. Methodology Nine species were included in the DGD. For each species, BLAST analyses were conducted on peptide sequences corresponding to the genes mapped on a same chromosome. Groups of duplicated genes were defined based on these pairwise BLAST comparisons and the genomic location of the genes. For each group, Pearson correlations between gene expression data and semantic similarities between functional GO annotations were also computed when the relevant information was available. Conclusions The Duplicated Gene Database provides a list of co-localised and duplicated genes for several species with the available gene co-expression level and semantic similarity value of functional annotation. Adding these data to the groups of duplicated genes provides biological information that can prove useful to gene expression analyses. The Duplicated Gene Database can be freely accessed through the DGD website at http://dgd.genouest.org.


Mammalian Genome | 2004

A physical map of large segments of pig Chromosome 7q11–q14: comparative analysis with human Chromosome 6p21

Angela Barbosa; Olivier Demeure; Céline Urien; Denis Milan; Patrick Chardon; Christine Renard

The aim of this study was to establish a porcine physical map along the chromosome SSC7q by construction of BAC contigs between microsatellites Sw1409 and S0102. The SLA class II contig, located on SSC7q, was lengthened. Four major BAC contigs and 10 short contigs span a region equivalent to 800 cR measured by IMpRH7000 mapping. The BAC contigs were initiated by PCR screening with primers derived from human orthologous segments, extended by chromosome walking, and controlled and oriented by RH mapping with the two available panels, IMpRH7000Rad and IMNpRH12000Rad. The location of 43 genes was revealed by sequenced segments, either from BAC ends or PCR products from BAC clones. The 220 BAC end sequences (BES) were also used to analyze the different marks of evolution. Comparative mapping analysis between pigs and humans demonstrated that the gene organization on HSA6p21 and on SSC7p11 and q11–q14 segments was conserved during evolution, with the exception of long fragments of HSA6p12 which shuffled and spliced the SLA extended class II region. Additional punctual variations (unique gene insertion/deletion) were observed, even within conserved segments, revealing the evolutionary complexity of this region. In addition, 18 new polymorphic microsatellites have been selected in order to cover the entire SSC7p11–q14 region.


Poultry Science | 2009

Liver X receptor α regulates fatty acid synthase expression in chicken

Olivier Demeure; C. Duby; Colette Désert; S. Assaf; Dominique Hazard; Hervé Guillou; Sandrine Lagarrigue

Liver X receptor alpha (LXRalpha), also referred to as nuclear receptor subfamily 1, group H, member 3 is a member of the nuclear hormone receptor superfamily, and has recently been shown to act as a master transcription factor governing hepatic lipogenesis in mammals. Liver X receptor alpha directly regulates both the expression of other lipogenic transcription factors and the expression of lipogenic enzymes, thereby enhancing hepatic fatty acid synthesis (FASN). In birds, like in humans, fatty acid synthesis primarily occurs in the liver. Whether LXRalpha is involved in hepatic regulation of lipogenic genes remained to be investigated in this species. Here we show that fatty acid synthase and the expression of other lipogenic genes (sterol regulatory element binding protein 1 and steroyl coenzyme A desaturase 1) are induced in chicken hepatoma cells in response to a pharmacological liver X receptor agonist, T0901317. A detailed analysis of the chicken FASN promoter revealed a functional liver X response element. These data define the chicken FASN gene as a direct target of LXRalpha and further expand the role of LXRalpha as a regulator of lipid metabolism in this species.


BMC Genomics | 2009

Using transcriptome profiling to characterize QTL regions on chicken chromosome 5

Guillaume Le Mignon; Colette Désert; Frédérique Pitel; Sophie Leroux; Olivier Demeure; Gregory Guernec; Behnam Abasht; Madeleine Douaire; Pascale Le Roy; Sandrine Lagarrigue

BackgroundAlthough many QTL for various traits have been mapped in livestock, location confidence intervals remain wide that makes difficult the identification of causative mutations. The aim of this study was to test the contribution of microarray data to QTL detection in livestock species. Three different but complementary approaches are proposed to improve characterization of a chicken QTL region for abdominal fatness (AF) previously detected on chromosome 5 (GGA5).ResultsHepatic transcriptome profiles for 45 offspring of a sire known to be heterozygous for the distal GGA5 AF QTL were obtained using a 20 K chicken oligochip. mRNA levels of 660 genes were correlated with the AF trait. The first approach was to dissect the AF phenotype by identifying animal subgroups according to their 660 transcript profiles. Linkage analysis using some of these subgroups revealed another QTL in the middle of GGA5 and increased the significance of the distal GGA5 AF QTL, thereby refining its localization. The second approach targeted the genes correlated with the AF trait and regulated by the GGA5 AF QTL region. Five of the 660 genes were considered as being controlled either by the AF QTL mutation itself or by a mutation close to it; one having a function related to lipid metabolism (HMGCS1). In addition, a QTL analysis with a multiple trait model combining this 5 gene-set and AF allowed us to refine the QTL region. The third approach was to use these 5 transcriptome profiles to predict the paternal Q versus q AF QTL mutation for each recombinant offspring and then refine the localization of the QTL from 31 cM (100 genes) at a most probable location confidence interval of 7 cM (12 genes) after determining the recombination breakpoints, an interval consistent with the reductions obtained by the two other approaches.ConclusionThe results showed the feasibility and efficacy of the three strategies used, the first revealing a QTL undetected using the whole population, the second providing functional information about a QTL region through genes related to the trait and controlled by this region (HMGCS1), the third could drastically refine a QTL region.


BMC proceedings | 2012

XVth QTLMAS: simulated dataset.

Jean-Michel Elsen; Simon Tesseydre; Olivier Filangi; Pascale Le Roy; Olivier Demeure

BackgroundOur aim was to simulate the data for the QTLMAS2011 workshop following a pig-type family structure under an oligogenic model, each QTL being specific.ResultsThe population comprised 3000 individuals issued from 20 sires and 200 dams. Within each family, 10 progenies belonged to the experimental population and were assigned phenotypes and marker genotypes and 5 belonged to the selection population, only known on their marker genotypes. A total of 10,000 SNPs carried by 5 chromosomes of 1 Morgan each were simulated. Eight QTL were created (1 quadri-allelic, 2 linked in phase, 2 linked in repulsion, 1 imprinted and 2 epistatic). Random noise was added giving an heritability of 0.30. The marker density, LD and MAF were similar to real life parameters.

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Dive into the Olivier Demeure's collaboration.

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Sandrine Lagarrigue

Institut national de la recherche agronomique

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Frédérique Pitel

Institut national de la recherche agronomique

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Pascale Le Roy

Institut national de la recherche agronomique

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Colette Désert

Institut national de la recherche agronomique

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Diane Esquerre

Institut national de la recherche agronomique

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Elisabeth Le Bihan-Duval

Institut national de la recherche agronomique

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Frédéric Lecerf

Institut national de la recherche agronomique

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Pierre-François Roux

Institut national de la recherche agronomique

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Christophe Klopp

Institut national de la recherche agronomique

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Olivier Filangi

Institut national de la recherche agronomique

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