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Summary An F 2 experimental population, developed from a broiler layer cross, was used in a genomescan of QTL for percentage of carcass, carcass parts, shank and head. Up to 649 F 2 chickensfrom four paternal half-sib families were genotyped with 128 genetic markers covering 22linkage groups. Total map length was 2630 cM, covering approximately 63% of the gen-ome. QTL interval mapping using regression methods was applied to line-cross and half-sibmodels. Under the line-cross model, 12 genome-wide significant QTL and 17 suggestivelinkages for percentages of carcass parts, shank and head were mapped to 13 linkage groups(GGA1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 14, 18 and 27). Under the paternal half-sib model, sixgenome-wide significant QTL and 18 suggestive linkages for percentages of carcass parts,shank and head were detected on nine chicken linkage groups (GGA1, 2, 3, 4, 5, 12, 14, 15and 27), seven of which seemed to corroborate positions revealed by the previous model.Overall, three novel QTL of importance to the broiler industry were mapped (one significantfor shank% on GGA3 and two suggestive for carcass and breast percentages on GGA14 anddrums and thighs percentage on GGA15). One novel QTL for wings% was mapped to GGA3,six novel QTL (GGA1, 3, 7, 8, 9 and 27) and suggestive linkages (GGA2, 4, and 5) weremapped for head%, and suggestive linkages were identified for back% on GGA2, 11 and 12.In addition, many of the QTL mapped in this study confirmed QTL previously reported inother populations.Keywords breast, carcass, chickens, drums and thighs, QTL, shank, wings.

An F(2) population established by crossing a broiler male line and a layer line was used to map quantitative trait loci (QTL) affecting abdominal fat weight, abdominal fat percentage and serum cholesterol and triglyceride concentrations. Two genetic models, the line-cross and the half-sib, were applied in the QTL analysis, both using the regression interval method. Three significant QTL and four suggestive QTL were mapped in the line-cross analysis and four significant and four suggestive QTL were mapped in the half-sib analysis. A total of five QTL were mapped for abdominal fat weight, six for abdominal fat percentage and four for triglyceride concentration in both analyses. New QTL associated with serum triglyceride concentration were mapped on GGA5, GGA23 and GG27. QTL mapped between markers LEI0029 and ADL0371 on GGA3 for abdominal fat percentage and abdominal fat weight and a suggestive QTL on GGA12 for abdominal fat percentage showed significant parent-of-origin effects. Some QTL mapped here match QTL regions mapped in previous studies using different populations, suggesting good candidate regions for fine-mapping and candidate gene searches.

Osteoporosis, resulting from progressive loss of structural bone during the period of egg-laying in hens, is associated with an increased susceptibility to bone breakage. To study the genetic basis of bone strength, an F(2) cross was produced from lines of hens that had been divergently selected for bone index from a commercial pedigreed White Leghorn population. Quantitative trait loci (QTL) affecting the bone index and component traits of the index (tibiotarsal and humeral strength and keel radiographic density) were mapped using phenotypic data from 372 F(2) individuals in 32 F(1) families. Genotypes for 136 microsatellite markers in 27 linkage groups covering approximately 80% of the genome were analysed for association with phenotypes using within-family regression analyses. There was one significant QTL on chromosome 1 for bone index and the component traits of tibiotarsal and humeral breaking strength. Additive effects for tibiotarsal breaking strength represented 34% of the trait standard deviation and 7.6% of the phenotypic variance of the trait. These QTL for bone quality in poultry are directly relevant to commercial populations.

Summary The turkey is an agriculturally important species for which, until now, there is no published genetic linkage map based on microsatellite markers – still the markers most used in the chicken and other farm animals. In order to increase the number of markers on a turkey genetic linkage map we decided to map new microsatellite sequences obtained from a GT-enriched turkey genomic library. In different chicken populations more than 35–55% of microsatellites are polymorphic. In the turkey populations tested here, 43% of all turkey primers tested were found to be polymorphic, in both commercial and wild type turkeys. Twenty linkage groups (including the Z chromosome) containing 74 markers have been established, along with 37 other unassigned markers. This map will lay the foundations for further genetic mapping and the identification of genes and quantitative trait loci in this economically important species. Genome comparisons, based on genetic maps, with related species such as the chicken would then also be possible. All primer information, polymerase chain reaction (PCR) conditions, allele sizes and genetic linkage maps can be viewed at http://roslin.thearkdb.org/. The DNA is also available on request through the Roslin Institute.

PHOSPHO1 is a recently identified phosphatase expressed at high levels in the chicken growth plate and which may be involved in generating inorganic phosphate for skeletal matrix mineralization. Using a degenerate RT-PCR approach a fragment of human PHOSPHO1 was cloned. This enabled the identification of the human orthologue on HSA17q21, and the mouse orthologue on a region of MMU11 that exhibits conservation of synteny with HSA17q21. Chicken PHOSPHO1 was mapped by SSCP analysis to position 44 cM on GGA27, adjacent to the HOXB@ (44 cM) and COL1A1 (36 cM) loci. Comparison of genes on GGA27 with their orthologues on the preliminary draft of the human genome identifies regions of conserved synteny equivalent to 25 Mb on HSA17q21.2-23.3 and approximately 20 Mb on GGA27 in which the gene order appears to be conserved. Mapping of the PHOSPHO1 genes to regions of HSA17q21.3, MMU11 and GGA27 that exhibit conservation of synteny provides strong evidence that they are orthologous.

Summary A large amount of genetic mapping information has been obtained in the chicken from the East Lansing, Compton and Wageningen reference populations. Physical mapping information has however, been more limited. We have mapped 14 new clones, both genetically and physically, and all 14 have been assigned to macrochromosomes. The orientation of linkage groups E01C01C11W01 (Chr 1), E06C02W02 (Chr 2), E02C03W03 (Chr 3), E05C04W04 (Chr 4), E07E34C05W05 (Chr 5), E11C10W06 (Chr 6), E45C07W07 (Chr 7) and E43C12W11 (Chr 8) has been established. Here we present integrated maps of the eight macrochromosomes and the Z chromosome of the chicken and correlate genetic with physical distances for chromosomes 1–3 and the Z sex chromosome.

The growth plate is a specialised region of cartilage located at the growing ends of long bones in higher vertebrates. It is responsible for longitudinal bone growth and is under the control of many local and systemic factors. The growth plate consists of an orderly arrangement of small proliferative and larger mature hypertrophic chondrocytes. This paper des-cribes the isolation by differential display of a 988-bp cDNA fragment derived from a transcript that is more highly expressed in proliferating rather than hypertrophic chondrocytes of the chick growth plate. Using 3′ RACE, a further 939 bp of cDNA sequence was obtained. The 1·9 kb sequence contains a 924-bp open reading frame encoding an unknown 308 amino acid protein. This protein has a putative transmembrane domain near its N-terminus and three dileucine motifs at its carboxy tail. This gene was expressed in all other tissues examined. A polymorphism was identified by SSCP analysis and the gene was mapped to the centromeric region of the short arm of chicken chromosome 1, close to the locus for autosomal dwarfism.

Major objectives of the poultry industry are to increase meat production and to reduce carcass fatness, mainly abdominal fat. Information on growth performance and carcass composition are important for the selection of leaner meat chickens. To enhance our understanding of the genetic architecture underlying the chemical composition of chicken carcasses, an F(2) population developed from a broiler × layer cross was used to map quantitative trait loci (QTL) affecting protein, fat, water and ash contents in chicken carcasses. Two genetic models were applied in the QTL analysis: the line-cross and the half-sib models, both using the regression interval mapping method. Six significant and five suggestive QTL were mapped in the line-cross analysis, and four significant and six suggestive QTL were mapped in the half-sib analysis. A total of eleven QTL were mapped for fat (ether extract), five for protein, four for ash and one for water contents in the carcass using both analyses. No study to date has reported QTL for carcass chemical composition in chickens. Some QTL mapped here for carcass fat content match, as expected, QTL regions previously associated with abdominal fat in the same or in different populations, and novel QTL for protein, ash and water contents in the carcass are presented here. The results described here also reinforce the need for fine mapping and to perform multi-trait analyses to better understand the genetic architecture of these traits.

An F(2) resource population, derived from a broiler x layer cross, was used to map quantitative trait loci (QTL) for body weights at days 1, 35 and 41, weight gain, feed intake, feed efficiency from 35 to 41 days and intestinal length. Up to 577 F(2) chickens were genotyped with 103 genetic markers covering 21 linkage groups. A preliminary QTL mapping report using this same population focused exclusively on GGA1. Regression methods were applied to line-cross and half-sib models for QTL interval mapping. Under the line-cross model, eight QTL were detected for body weight at 35 days (GGA2, 3 and 4), body weight at 41 days (GGA2, 3, 4 and 10) and intestine length (GGA4). Under the half-sib model, using sire as common parent, five QTL were detected for body weight at day 1 (GGA3 and 18), body weight at 35 days (GGA2 and 3) and body weight at 41 days (GGA3). When dam was used as common parent, seven QTL were mapped for body weight at day 1 (GGA2), body weight at day 35 (GGA2, 3 and 4) and body weight at day 41 (GGA2, 3 and 4). Growth differences in chicken lines appear to be controlled by a chronological change in a limited number of chromosomal regions.

The chicken karyotype comprises six pairs of large macrochromosomes and 33 pairs of smaller microchromosomes1. Cytogenetic evidence suggests that microchromosomes may be more gene-dense than macrochromosomes. In this paper, we compare the gene densities on macrochromosomes and microchromosomes based on sequence sampling of cloned genomic DNA, and from the distribution of genes mapped by genetic linkage and physical mapping. From these different approaches we estimate that microchromosomes are twice as gene-dense as macrochromosomes and show that sequence sampling is an effective means of gene discovery in the chicken. Using this method we have also detected a conserved linkage between the genes for serotonin 1D receptor (HTR1D) and the platelet-activating factor receptor protein gene (PTAFR) on chicken chromosome 5 and human chromosome 1p34 ·3. Taken together with its advantages as an experimental animal, and public access to genetic and physical mapping resources, the chicken is a useful model genome for studies on the structure, function and evolution of the vertebrate genome.