Sophie Leroux

IMpRH server: an RH mapping server available on the Web.

SUMMARY The INRA-Minnesota Porcine Radiation Hybrid (IMpRH) Server provides both a mapping tool (IMpRH mapping tool) and a database (IMpRH database) of officially submitted results. The mapping tool permits the mapping of a new marker relatively to markers previously mapped on the IMpRH panel. The IMpRH database is the official database for submission of new results and queries. The database not only permits the sharing of public data but also semi-private and private data.

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

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.

Contribution to high-resolution mapping in pigs with 101 type I markers and progress in comparative map between humans and pigs.

In the frame of the European program GenetPig, we localized on the Pig map 105 coding sequences (type I markers) from different origins, using INRA-University of Minnesota porcine Radiation Hybrid Panel (IMpRH, 101 markers) and somatic cell hybrid panel (SCHP, 93 markers, of which only four were not also mapped using IMpRH). Thus, we contributed to the improvement of the porcine high-resolution map, and we complemented the integration between the RH and cytogenetic maps. IMpRH tools allowed us to map 101 new markers relatively to reference markers of the first generation radiation hybrid map. Ninety out of 101 markers are linked to an already mapped marker with a LOD score greater than 4.8. Seventy-eight markers were informative for comparative mapping. Comparison of marker positions on the RH map with those obtained on the cytogenetic map or those expected by Human-Pig comparative map data suggested to us to be cautious with markers linked with a LOD lower than 6. These results allowed us to specify chromosomal fragments well conserved between humans and pigs and also to suggest new correspondences (Sscr1-Hsap3, Sscr9-Hsap9, Sscr13-Hsap11, Sscr15-Hsap6) confirmed by FISH on pig chromosomes. We examined in more detail the comparative map between Hsap12 and Sscr5 considering gene order, which suggests that rearrangements have occurred within the conserved synteny.

Comparative mapping between humans and pigs: localization of 58 anchorage markers (TOASTs) by use of porcine somatic cell and radiation hybrid panels

Abstract. To increase the number of Type I markers that are directly informative for comparative mapping, 58 anchorage markers, TOASTs (Traced Orthologous Amplified Sequence Tags), were mapped in pig. With specific consensus primers, 76 TOASTs were tested in pig: 50 were regionally localized in pig on a somatic cell hybrid panel (SCHP), and 51 were mapped on the whole genome, INRA/University of Minnesota porcine Radiation Hybrid panel (IMpRH). Comparison of marker positions on RH and cytogenetic maps indicated general concordance except for two chromosomal regions. For RH mapping, all markers, apart from one, were significantly linked (LOD > 4.8) to a marker of the first-generation radiation hybrid map. Localization of new markers on the initial map is necessary for drawing a framework map as shown for Chromosome Sscr 14. The addition of four TOASTs has enabled us to propose an improved map, using a threshold likelihood ratio of 1000/1. At the whole-genome level, this work significantly increased (by 50%) the number of precisely mapped genes on the porcine RH map and confirmed that the IMpRH panel is a valuable tool for high-resolution gene mapping in pig. Porcine PCR products were sequenced and compared with human sequences to verify their identity. Most of the localizations made it possible to either confirm or refine the previous comparative data between humans and pigs obtained through heterologous chromosomal painting or gene mapping. Moreover, the use of TOASTs in mapping studies appears to be a complement to other strategies using CATS, human ESTs, or heterologous FISH with BACs which had already been applied to improve the gene density of comparative genomic maps for mammals.

Integrative mapping analysis of chicken microchromosome 16 organization

BackgroundThe chicken karyotype is composed of 39 chromosome pairs, of which 9 still remain totally absent from the current genome sequence assembly, despite international efforts towards complete coverage. Some others are only very partially sequenced, amongst which microchromosome 16 (GGA16), particularly under-represented, with only 433 kb assembled for a full estimated size of 9 to 11 Mb. Besides the obvious need of full genome coverage with genetic markers for QTL (Quantitative Trait Loci) mapping and major genes identification studies, there is a major interest in the detailed study of this chromosome because it carries the two genetically independent MHC complexes B and Y. In addition, GGA16 carries the ribosomal RNA (rRNA) genes cluster, also known as the NOR (nucleolus organizer region). The purpose of the present study is to construct and present high resolution integrated maps of GGA16 to refine its organization and improve its coverage with genetic markers.ResultsWe developed 79 STS (Sequence Tagged Site) markers to build a physical RH (radiation hybrid) map and 34 genetic markers to extend the genetic map of GGA16. We screened a BAC (Bacterial Artificial Chromosome) library with markers for the MHC-B, MHC-Y and rRNA complexes. Selected clones were used to perform high resolution FISH (Fluorescent In Situ Hybridization) mapping on giant meiotic lampbrush chromosomes, allowing meiotic mapping in addition to the confirmation of the order of the three clusters along the chromosome. A region with high recombination rates and containing PO41 repeated elements separates the two MHC complexes.ConclusionsThe three complementary mapping strategies used refine greatly our knowledge of chicken microchromosome 16 organisation. The characterisation of the recombination hotspots separating the two MHC complexes demonstrates the presence of PO41 repetitive sequences both in tandem and inverted orientation. However, this region still needs to be studied in more detail.

Transcriptome-wide investigation of genomic imprinting in chicken

Genomic imprinting is an epigenetic mechanism by which alleles of some specific genes are expressed in a parent-of-origin manner. It has been observed in mammals and marsupials, but not in birds. Until now, only a few genes orthologous to mammalian imprinted ones have been analyzed in chicken and did not demonstrate any evidence of imprinting in this species. However, several published observations such as imprinted-like QTL in poultry or reciprocal effects keep the question open. Our main objective was thus to screen the entire chicken genome for parental-allele-specific differential expression on whole embryonic transcriptomes, using high-throughput sequencing. To identify the parental origin of each observed haplotype, two chicken experimental populations were used, as inbred and as genetically distant as possible. Two families were produced from two reciprocal crosses. Transcripts from 20 embryos were sequenced using NGS technology, producing ∼200 Gb of sequences. This allowed the detection of 79 potentially imprinted SNPs, through an analysis method that we validated by detecting imprinting from mouse data already published. However, out of 23 candidates tested by pyrosequencing, none could be confirmed. These results come together, without a priori, with previous statements and phylogenetic considerations assessing the absence of genomic imprinting in chicken.

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

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.

Microsatellite mapping of QTLs affecting resistance to coccidiosis (Eimeria tenella) in a Fayoumi × White Leghorn cross

BackgroundAvian coccidiosis is a major parasitic disease of poultry, causing severe economical loss to poultry production by affecting growth and feed efficiency of infected birds. Current control strategies using mainly drugs and more recently vaccination are showing drawbacks and alternative strategies are needed. Using genetic resistance that would limit the negative and very costly effects of the disease would be highly relevant. The purpose of this work was to detect for the first time QTL for disease resistance traits to Eimeria tenella in chicken by performing a genome scan in an F2 cross issued from a resistant Fayoumi line and a susceptible Leghorn line.ResultsThe QTL analysis detected 21 chromosome-wide significant QTL for the different traits related to disease resistance (body weight growth, plasma coloration, hematocrit, rectal temperature and lesion) on 6 chromosomes. Out of these, a genome-wide very significant QTL for body weight growth was found on GGA1, five genome-wide significant QTL for body weight growth, plasma coloration and hematocrit and one for plasma coloration were found on GGA1 and GGA6, respectively. Two genome-wide suggestive QTL for plasma coloration and rectal temperature were found on GGA1 and GGA2, respectively. Other chromosme-wide significant QTL were identified on GGA2, GGA3, GGA6, GGA15 and GGA23. Parent-of-origin effects were found for QTL for body weight growth and plasma coloration on GGA1 and GGA3. Several QTL for different resistance phenotypes were identified as co-localized on the same location.ConclusionUsing an F2 cross from resistant and susceptible chicken lines proved to be a successful strategy to identify QTL for different resistance traits to Eimeria tenella, opening the way for further gene identification and underlying mechanisms and hopefully possibilities for new breeding strategies for resistance to coccidiosis in the chicken. From the QTL regions identified, several candidate genes and relevant pathways linked to innate immune and inflammatory responses were suggested. These results will be combined with functional genomics approaches on the same lines to provide positional candidate genes for resistance loci for coccidiosis. Results suggested also for further analysis, models tackling the complexity of the genetic architecture of these correlated disease resistance traits including potential epistatic effects.

The Loss of Adipokine Genes in the Chicken Genome and Implications for Insulin Metabolism

Gene loss is one of the main drivers in the evolution of genomes and species. The demonstration that a gene has been lost by pseudogenization is truly complete when one finds the pseudogene in the orthologous genomic region with respect to active genes in other species. In some cases, the identification of such orthologous loci is not possible because of chromosomal rearrangements or if the gene of interest has not yet been sequenced. This question is particularly important in the case of birds because the genomes of avian species possess only about 15,000 predicted genes, in comparison with 20,000 in mammals. Yet, gene loss raises the question of which functions are affected by the changes in gene counts. We describe a systematic approach that makes it possible to demonstrate gene loss in the chicken genome even if a pseudogene has not been found. By using phylogenetic and synteny analysis in vertebrates, genome-wide comparisons between the chicken genome and expressed sequence tags, RNAseq data analysis, statistical analysis of the chicken genome, and radiation hybrid mapping, we show that resistin, TNFα, and PAI-1 (SERPINE1), three genes encoding adipokines inhibiting insulin sensitivity, have been lost in chicken and zebra finch genomes. Moreover, omentin, a gene encoding an adipokine that enhances insulin sensitivity, has also been lost in the chicken genome. Overall, only one adipokine inhibiting insulin sensitivity and five adipokines enhancing insulin sensitivity are still present in the chicken genome. These genetic differences between mammals and chicken, given the functions of the genes in mammals, would have dramatic consequences on chicken endocrinology, leading to novel equilibriums especially in the regulation of energy metabolism, insulin sensitivity, as well as appetite and reproduction.

The chicken RH map: current state of progress and microchromosome mapping.

The ChickRH6 radiation hybrid panel has been used to construct consensus chromosome radiation hybrid (RH) maps of the chicken genome. Markers genotyped were either from throughout the genome or targeted to specific chromosomes and a large proportion (one third) of data was the result of collaborative efforts. Altogether, 2,531 markers were genotyped, allowing the construction of RH reference maps for 20 chromosomes and linkage groups for four other chromosomes. Amongst the markers, 581 belong to the framework maps, while 1,721 are on the comprehensive maps. Around 800 markers still have to be assigned to linkage groups. Our attempt to assign the supercontigs from the chrun (virtual chromosome containing all the genome sequence that could not be attributed to a chromosome) as well as EST (Expressed Sequence Tag) contigs that do not have a BLAST hit in the genome assembly led to the construction of new maps for microchromosomes either absent or for which very little data is present in the genome assembly. RH data is presented through our ChickRH webserver (http://chickrh.toulouse.inra.fr/), which is a mapping tool as well as the official repository RH database for genotypes. It also displays the RH reference maps and comparison charts with the sequence thus highlighting the possible discrepancies. Future improvements of the RH maps include complete coverage of the sequence assigned to chromosomes, further mapping of the chrun and mapping of EST contigs absent from the assembly. This will help finish the mapping of the smallest gene-rich microchromosomes.