Evaluation of genetic variability and genetic distances between eight chicken lines using microsatellite markers

Genetic diversity of Chinese native chicken breeds based on protein polymorphism, randomly amplified polymorphic DNA, and microsatellite polymorphism

Genetic diversity of Chinese native chicken breeds was investigated using protein polymorphism, randomly amplified polymorphic DNA (RAPD), and microsatellite polymorphism. Imported broiler and layer breeds were also included in the analysis. The results from protein polymorphism did not show distinct differences between Chinese native chicken and imported broilers; however, there were small significant differences between these two types of chickens. The results from RAPD indicated that gene diversity within a population was large in Chinese native chickens, intermediate in broilers, and low in layers and that there were small differences between Chinese native chickens and both broilers and layers. A great difference between broilers and layers was observed. Microsatellite polymorphism data showed that genetic diversity was high in the Chinese native chickens and low in layers and that there was a close relationship between Chinese native chickens and broiler but a remote relationship between Chinese native chickens and layers. The wide genetic diversity of Chinese native breeds can meet different requirements of breeding for chicken quality in China.

Mapping of quantitative trait loci affecting quality and production traits in egg layers

A mapping population segregating for egg quality traits was created by a line cross between two egg layer lines and screened by a genome scan. The F2 generation consisted of 307 hens, which were scored for egg quality and production traits. The mapping population was genotyped for 99 microsatellite loci, spanning nine macrochromosomes and five small linkage groups. The linkage maps were used in mapping QTL affecting 14 traits, by using multiple markers and a least-squares approach. We detected 14 genomewide significant and six suggestive QTL that were located on chromosomes 2, 3, 4, 5, and, 8 and sex chromosome Z. A significant QTL affecting egg white thinning was found on chromosome 2. For eggshell strength, a significant QTL was found on chromosome Z. For production traits, the most interesting area was on chromosome 4, where highly significant QTL effects were detected for BW, egg weight, and feed intake in the same area. The most significant QTL explains 25.8% of the phenotypic variance in F2 of body weight. An area affecting the age at first egg, egg weight, and the number of eggs was located on chromosome Z.

Empirical evaluation of genetic clustering methods using multilocus genotypes from 20 chicken breeds

We tested the utility of genetic cluster analysis in ascertaining population structure of a large data set for which population structure was previously known. Each of 600 individuals representing 20 distinct chicken breeds was genotyped for 27 microsatellite loci, and individual multilocus genotypes were used to infer genetic clusters. Individuals from each breed were inferred to belong mostly to the same cluster. The clustering success rate, measuring the fraction of individuals that were properly inferred to belong to their correct breeds, was consistently approximately 98%. When markers of highest expected heterozygosity were used, genotypes that included at least 8-10 highly variable markers from among the 27 markers genotyped also achieved >95% clustering success. When 12-15 highly variable markers and only 15-20 of the 30 individuals per breed were used, clustering success was at least 90%. We suggest that in species for which population structure is of interest, databases of multilocus genotypes at highly variable markers should be compiled. These genotypes could then be used as training samples for genetic cluster analysis and to facilitate assignments of individuals of unknown origin to populations. The clustering algorithm has potential applications in defining the within-species genetic units that are useful in problems of conservation.

Analysis of genetic relationships between various populations of domestic and jungle fowl using microsatellite markers

The genomes of domestic and jungle fowl populations maintained in Ukraine and Germany were screened using microsatellites as molecular markers. Genetic variation and genetic distances between strains of different origins and performance potentials were determined. In total, 224 individuals of 20 populations were genotyped for 14 microsatellite markers covering 11 linkage groups. Of the 14 microsatellite loci, the number of alleles ranged between 2 and 21 per locus, the mean number of alleles being 11.2 per locus. By using Nei's standard distance and the Neighbor-Joining method, a phylogenetic tree was reconstructed; its topology reflected general patterns of relatedness and genetic differentiation among the chicken populations studied. Three major phylogenetic tree groupings were found. The red jungle fowl (Gallus gallus) formed a separate branch and demonstrated a specific allele distribution when compared with domestic fowl breeds analyzed. The second branch comprised commercial layer lines and chicken breeds that were subject to intense selection in the past or had common ancestral breeds with commercial strains. The third group encompassed the German native breed populations. The information about population and breed genetic relationships estimated by microsatellite analysis may be useful as an initial guide in defining objectives for designing future investigations of genetic variation and developing conservation strategies.

Genetic distinctness of African, Asian and South American local chickens

The genetic variability of various local chicken populations derived from Bolivia, India, Nigeria and Tanzania was evaluated with 22 microsatellites. Between two and 11 alleles per locus were detected. All populations showed high levels of heterozygosity with the lowest value of 45% for the population named Aseel from India and the highest value of 67% for Arusha from Tanzania. A dendrogram was constructed based on CHORD distance by upgMa analysis. Within this tree the populations were assorted according to their geographical origin. Bootstrapping values within the dendrogram were between 37 and 99%. The contribution of the determination of genetic variability with genetic markers to the decision on conservation and/or further use of the populations in crossbreeding programs designed to create genetic stocks with improved adaptability and productivity in tropical countries is discussed.

Microsatellite polymorphism between and within broiler populations

Two independent broiler chicken populations were genotyped with microsatellite markers to determine genetic polymorphisms within and among broiler populations. Birds were genotyped with primers from the US Poultry Genome Mapping Kits 1 and 2. The 59 primer sets selected for this study provided wide genomic coverage. All 59 primer sets amplified a polymerase chain reaction product in Population L, whereas 57 primer sets produced a product in Population C. The average allele number per line per microsatellite was 2.8 and 2.9 for Populations L and C, respectively. Considering the 57 primer pairs generating product in both lines, 72.3% of the total alleles were unique to one or the other population. This study illustrates the high polymorphism level in broiler populations of microsatellites amplified from primers developed from Red Jungle Fowl or White Leghorn sequences.

Patterns of ribosomal gene variation in elite commercial chicken pure line populations

The nucleolus organizer region (NOR) encodes the tandemly repeated 18S, 5.8S and 28S ribosomal (r) RNA genes. The NORs of broiler and layer commercial chicken pure lines were studied to establish the type and extent of genetic variation at this important locus. The parameters studied were gene copy number, repeat size, and diversity of NOR-types. The populations were organized into three groups for analysis including brown-egg broiler (13 lines), brown-egg layer (six lines), and white-egg layer (eight lines). The ribosomal gene copy number average of the white-egg layer populations was significantly lower (329 genes) than that of the brown-egg layers (372 genes); the brown-egg broiler ribosomal gene average was intermediate (350 genes). The white-egg layer populations exhibited a ribosomal repeat unit average size of 36 kb, significantly different from the brown-egg layer and brown-egg broiler average repeat unit size of 32.5 and 33.9 kb, respectively. NOR array size was similar among the three groups (6 mb). The brown-egg broiler populations exhibited polymorphic NOR patterns, intra- and interline, whereas the white-egg layer populations were essentially monomorphic for NOR-type; brown-egg layers exhibited an intermediate level of NOR diversity. Some NOR array characteristics may be a function of breed origin as brown-egg commercial populations, both broilers and layers, have similar breed origins and exhibited similarities for predominant repeat unit size as compared with white-egg layer populations. However, the finding that brown-egg broiler lines typically exhibit a greater number of segregating NOR-types than brown-egg layer lines suggests that the selection schemes of broiler vs. layer pure line populations may also have influenced the degree of variation at this gene complex.