A comparative map of chicken chromosome 24 and human chromosome 11

Genome-Wide Linkage Analysis to Identify Chromosomal Regions Affecting Phenotypic Traits in the Chicken. II. Body Composition

Two informative chicken F(2) populations based on crosses between a broiler breeder male line and dams from genetically distinct, highly inbred (>99%) chicken lines, the Leghorn G-B2 and Fayoumi M15.2, have been used for genome-wide linkage and QTL analysis. Phenotypic data on 12 body composition traits (breast muscle weight, breast muscle weight percentage, abdominal fat weight, abdominal fat weight percentage, heart weight, heart weight percentage, liver weight, liver weight percentage, spleen weight, spleen weight percentage, and drumstick weight, and drumstick weight percentage) were collected. Birds were genotyped for 269 microsatellite markers across the genome. The QTL Express program was used to detect QTL for body composition traits. Significant levels were obtained using the permutation test. For the twelve traits, a total of 61 (Gga 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 18, 24, and Z) and 45 (Gga 1, 2, 3, 4, 6, 7, 8, 9, 10, 12, 15, 17, and E46) significant QTL were detected at the 5% chromosome-wise significance level, of which 19 and 11 were significant at the 5% genome-wise level for the broiler-Leghorn cross and broiler-Fayoumi cross, respectively. Phenotypic variation for each trait explained by all QTL across the genome ranged from 3.22 to 33.31% in the broiler-Leghorn cross and 4.83 to 47.12% in broiler-Fayoumi cross. Distinct QTL profiles between the 2 crosses were observed for most traits. Cryptic alleles were detected for each trait. Potential candidate genes within the QTL region for body composition traits at the 1% chromosome-wise significance level were identified from databases for future association study. The results of the current study will increase the knowledge of genetic markers associated with body composition traits and aid the process of identifying causative genes. Knowledge of beneficial genetic variation can be incorporated in breeding programs to enhance genetic improvement through marker-assisted selection in chickens.

The chicken genome and the developmental biologist

Recently the initial draft sequence of the chicken genome was released. The reasons for sequencing the chicken were to boost research and applications in agriculture and medicine, through its use as a model of vertebrate development. In addition, the sequence of the chicken would provide an important anchor species in the phylogenetic study of genome evolution. The chicken genome project has its roots in a decade of map building by genetic and physical mapping methods. Chicken genetic markers for map building have generally depended on labour intensive screening procedures. In recent years this has all changed with the availability of over 450,000 EST sequences, a draft sequence of the entire chicken genome and a map of over 1 million SNPs. Clearly, the future for the chicken genome and developmental biology is an exciting one. Through the integration of these resources, it will be possible to solve challenging scientific questions exploiting the power of a chicken model. In this paper we review progress in chicken genomics and discuss how the new tools and information on the chicken genome can help the developmental biologists now and in the future.

Construction of a radiation hybrid map of chicken chromosome 2 and alignment to the chicken draft sequence

Background

The ChickRH6 whole chicken genome radiation hybrid (RH) panel recently produced has already been used to build radiation hybrid maps for several chromosomes, generating comparative maps with the human and mouse genomes and suggesting improvements to the chicken draft sequence assembly. Here we present the construction of a RH map of chicken chromosome 2. Markers from the genetic map were used for alignment to the existing GGA2 (Gallus gallus chromosome 2) linkage group and EST were used to provide valuable comparative mapping information. Finally, all markers from the RH map were localised on the chicken draft sequence assembly to check for eventual discordances.

Results

Eighty eight microsatellite markers, 10 genes and 219 EST were selected from the genetic map or on the basis of available comparative mapping information. Out of these 317 markers, 270 gave reliable amplifications on the radiation hybrid panel and 198 were effectively assigned to GGA2. The final RH map is 2794 cR₆₀₀₀ long and is composed of 86 framework markers distributed in 5 groups. Conservation of synteny was found between GGA2 and eight human chromosomes, with segments of conserved gene order of varying lengths.

Conclusion

We obtained a radiation hybrid map of chicken chromosome 2. Comparison to the human genome indicated that most of the 8 groups of conserved synteny studied underwent internal rearrangements. The alignment of our RH map to the first draft of the chicken genome sequence assembly revealed a good agreement between both sets of data, indicative of a low error rate.

Development of a gene-based radiation hybrid map of chicken Chromosome 7 and comparison to human and mouse

To validate the ChickRH6 whole-genome radiation hybrid (WGRH) panel, we constructed a map of chicken Chromosome 7 based on 19 microsatellite markers from the genetic map and 76 ESTs (expressed sequence tags), whose efficient targeted development was made possible by using the ICCARE software. This high-density radiation hybrid (RH) map of a chicken macrochromosome gives us indications on characteristics of ChickRH6. The potential resolution of the panel is 325 kb and the practical resolution of our framework map is 1.3 Mb. Based on these results, a complete framework map of the chicken genome would comprise 1000 markers. The marker order is in good agreement with the genetic map and comparison with the human and mouse sequence maps revealed a number of internal rearrangements.

A radiation hybrid map of chicken Chromosome 4

The mapping resolution of the physical map for chicken Chromosome 4 (GGA4) was improved by a combination of radiation hybrid (RH) mapping and bacterial artificial chromosome (BAC) mapping. The ChickRH6 hybrid panel was used to construct an RH map of GGA4. Eleven microsatellites known to be located on GGA4 were included as anchors to the genetic linkage map for this chromosome. Based on the known conserved synteny between GGA4 and human Chromosomes 4 and X, sequences were identified for the orthologous chicken genes from these human chromosomes by BLAST analysis. These sequences were subsequently used for the development of STS markers to be typed on the RH panel. Using a logarithm of the odds (LOD) threshold of 5.0, nine linkage groups could be constructed which were aligned with the genetic linkage map of this chromosome. The resulting RH map consisted of the 11 microsatellite markers and 50 genes. To further increase the number of genes on the map and to provide additional anchor points for the physical BAC map of this chromosome, BAC clones were identified for 22 microsatellites and 99 genes. The combined RH and BAC mapping approach resulted in the mapping of 61 genes on GGA4 increasing the resolution of the chicken-human comparative map for this chromosome. This enhanced comparative mapping resolution enabled the identification of multiple rearrangements between GGA4 and human Chromosomes 4q and Xp.

Molecular cytogenetic definition of the chicken genome: the first complete avian karyotype

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.

Genetic variants for chick biology research: from breeds to mutants

The availability of the draft sequence of the chicken genome will undoubtedly propel an already important vertebrate research model, the domestic chicken, to a new level. This review describes aspects of chicken natural history and cross-disciplinary biological value. The diversity of extant genetic variants available to researchers is reviewed along with institutional stock locations for North America. An overview of the problem of lack of long-term stability for these resources is presented.

Quantitative trait loci for body weight in layers differ from quantitative trait loci specific for antibody responses to sheep red blood cells

Quantitative trait loci for BW at 4, 6, 8, 12, and 18 wk of age were detected in an experimental F2 cross of layers divergently selected for primary antibody response to SRBC. A negative phenotypic correlation between levels of antibody titers and BW, was reported earlier within founder lines. The entire experimental population was genotyped with 174 microsatellite markers equally distributed over the genome. Two genetic models were applied in the QTL analysis: a half-sib model and a line-cross model, both using the regression interval method. In the half-sib model, 3 QTL for BW at 4 wk of age on chromosomes GGA2, GGA3, and GGA9 were detected. For BW at 6 wk of age, 3 QTL were detected on GGA2, GGA3, and GGA6. For BW at 8 wk of age, a QTL was detected on GGA7, and for BW at 12 and 18 wk of age, a QTL was detected on GGAZ. With the line-cross analysis model, one QTL on GGA7 for BW at 4 wk of age was detected. Two QTL were detected on GGA3 and GGA7 for BW at 6 wk of age, and one on GGA3 was detected for BW for 8 and 12 wk of age. For BW at 18 wk of age, there were no QTL under the line-cross analysis model. The present data suggest that 1) a different set of genes affects the early and the late growth, and 2) genes selected to humoral immune responsiveness are different from genes underlying growth.

Cytogenetics, conserved synteny and evolution of chicken fucosyltransferase genes compared to human

Fucosyltransferases appeared early in evolution, since they are present from bacteria to primates and the genes are well conserved. The aim of this work was to study these genes in the bird group, which is particularly attractive for the comprehension of the evolution of the vertebrate genome. Twelve fucosyltransferase genes have been identified in man. The orthologues of theses genes were looked for in the chicken genome and cytogenetically localized by FISH. Three families of fucosyltransferases: alpha6-fucosyltransferases, alpha3/4-fucosyltransferases, and protein-O-fucosyltransferases, were identified in the chicken with their associated genes. The alpha2-fucosyltransferase family, although present in some invertebrates and amphibians was not found in birds. This absence, also observed in Drosophila, may correspond to a loss of these genes by negative selection. Of the eight chicken genes assigned, six fell on chromosome segments where conservation of synteny between human and chicken was already described. For the two remaining loci, FUT9 and FUT3/5/6, the location may correspond to a new small syntenic area or to an insertion. FUT4 and FUT3/5/6 were found on the same chicken chromosome. These results suggest a duplication of an ancestral gene, initially present on the same chromosome before separation during evolution. By extension, the results are in favour of a common ancestor for the alpha3-fucosyltransferase and the alpha4-fucosyltransferase activities. These observations suggest a general mechanism for the evolution of fucosyltransferase genes in vertebrates by duplication followed by divergent evolution.

Integration of chicken genomic resources to enable whole-genome sequencing

Different genomic resources in chicken were integrated through the Wageningen chicken BAC library. First, a BAC anchor map was created by screening this library with two sets of markers: microsatellite markers from the consensus linkage map and markers created from BAC end sequencing in chromosome walking experiments. Second, HINdIII digestion fingerprints were created for all BACs of the Wageningen chicken BAC library. Third, cytogenetic positions of BACs were assigned by FISH. These integrated resources will facilitate further chromosome-walking experiments and whole-genome sequencing.

Chicken genome sequence: a centennial gift to poultry genetics

A draft sequence of the chicken genome will be available by early 2004. This event conveniently marks the start of the second century of poultry genetics, coming 100 years after the use of the chicken to demonstrate Mendelian inheritance in animals by William Bateson. How will the second, post-genomic century of poultry genetics differ from the first? A whole genome shotgun (WGS) approach is being used to obtain the chicken sequence, with the goal of generating approximately six-fold coverage of the genome. Bacterial artificial chromosome (BAC) and fosmid clone end sequences, along with a BAC contig map integrated with genetic linkage and radiation hybrid maps, will form the platform for assembly of the WGS data. Rapid progress in global analysis of chicken gene expression patterns is also being made. Comparative genomics will link these new discoveries to the knowledge base for all other animal species. It's hoped that the genome sequence will also provide common ground on which to unite studies of the chicken as a model species with those aimed at agriculturally-relevant applications. The current status of chicken genomics will be assessed with projections for its near and long term future.

Detection of different quantitative trait loci for antibody responses to keyhole lympet hemocyanin and Mycobacterium butyricum in two unrelated populations of laying hens

Quantitative trait loci involved in the primary antibody response to keyhole lympet hemocyanin (KLH) and Mycobacterium butyricum were detected in two independent populations of laying hens. The first population was an F2 cross (H/L) of lines divergently selected for either high or low primary antibody responses to SRBC, and the second population was an F2 cross between 2 commercial layer lines displaying differences in feather pecking behavior (FP). Both populations were typed with microsatellite markers widely distributed over the genome with similar intervals between markers. Titers of antibodies binding KLH and M. butyricum were measured for all individuals by ELISA. Two genetic models were applied to detect QTL involved in the humoral immune response: a half-sib model and a line-cross model, both using the regression interval method. In the half-sib analysis, 2 QTL (on GGA14 and GGA27) were detected for the antibody response to KLH for the H/L population, and 2 QTL (on GGA14 and GGA18) were detected for the FP population. Only 1 QTL was detected for M. butyricum on GGA14 in the FP population using the half-sib analysis model. Two QTL were detected for the FP population on GGA2 and GGA3 using the line-cross analysis model. A QTL for the primary antibody response to KLH detected on GGA14 was validated in both populations under the half-sib analysis model. The present data suggest differences in the genetic regulation of antibody responses to two different T-cell dependent antigens.

Comparative map between chicken chromosome 15 and human chromosomal region 12q24 and 22q11-q12

The physical and comparative map of GGA15 was improved by the construction of 9 BAC contigs around loci previously mapped on GGA15 by linkage analysis. In total, 240 BAC clones were isolated, covering 30-35% of GGA15, and 120 STS were developed (104 STS derived from BAC end sequences and 18 STS derived within genes). Seventeen chicken orthologues of human genes located on human Chr 22q11-q12 were directly mapped within BAC contigs of GGA15. Furthermore, the partial sequences of the chicken BAC clones were compared with sequences present in the EMBL/GenBank databases and revealed matches to 26 genes, ESTs, and genomic clones located on HSA22q11-q12 and HSA12q24. These results provide a better alignment of GGA15 with the corresponding regions in human and mouse, and improve our knowledge of the evolution and dynamics of the vertebrate genome.

Mapping quantitative trait loci and identification of genes that control fatness in poultry

Chicken genomics has benefited from the rapid technological advances in the genomics of model organisms and man. A number of resources and approaches are now well established, in the chicken, including genetic markers and maps (both genetic and physical), quantitative trait loci mapping, comparative mapping, expressed sequence tag and bacterial artificial chromosome resources, and physical mapping. In addition, the next phase of gene discovery, functional genomics, is underway. Progress in mapping quantitative trait loci for growth and fatness traits will be discussed, as an application of these new technologies and approaches in the study of avian physiology and genetics.