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Genetic diversity of red jungle fowl in China (Gallus gallus spadiceus) and red jungle fowl in Thailand (Gallus gallus gallus) was evaluated with 29 microstaellite loci, the genetic variability within subspecies and genetic differentiation between subspecies were estimated. The results showed that the 168 alleles were amplified with the number of alleles per locus from 2 to 13. The average expected heterozygosity and polymorphism information content (PIC) of all loci were 0.5780 and 0.53, respectively. The mean numbers of effective alleles of red jungle fowl in China and red jungle fowl in Thailand were 5.55 and 6.38. The heterozygosity and the genetic diversity of the two subspecies were high. Genetic differentiation index (FST) of these populations was 0.194 (P<0.01). Reynolds' genetic distance and gene flow between the two populations were 0.157 and 1.040, respectively. Based on these results, genetic structure and significant genetic differentiation of red jungle fowl in China were different from red jungle fowl in Thailand. The results of this study did not support to identify these red jungle fowl subspecies as the same subspecies, but supported the theory that Chinese domestic fowls have independent origin.

To overcome limitations of diversity measures applied to livestock breeds marker based estimations of kinship within and between populations were proposed. This concept was extended from the single locus consideration to chromosomal segments of a given length in Morgan. Algorithms for the derivation of haplotype kinship were suggested and the behaviour of marker based haplotype kinship was investigated theoretically. In the present study the results of the first practical application of this concept are presented. Full sib pairs of three sub-populations of the Goettingen minipig were genotyped for six chromosome segments. After haplotype reconstruction the haplotypes were compared and mean haplotype kinships were estimated within and between populations. Based on haplotype kinships a distance measure is proposed which is approximatively linear with the number of generations since fission. The haplotype kinship distances, the respective standard errors and the pedigree-based expected values are presented and are shown to reflect the true population history better than distances based on single-locus kinships. However the marker estimated haplotype kinship reveals variable among segments. This leads to high standard errors of the respective distances. Possible reasons for this phenomenon are discussed and a pedigree-based approach to correct for identical haplotypes which are not identical by descent is proposed.

In a project on the biodiversity of chickens funded by the European Commission (EC), eight laboratories collaborated to assess the genetic variation within and between 52 populations from a wide range of chicken types. Twenty-two di-nucleotide microsatellite markers were used to genotype DNA pools of 50 birds from each population. The polymorphism measures for the average, the least polymorphic population (inbred C line) and the most polymorphic population (Gallus gallus spadiceus) were, respectively, as follows: number of alleles per locus, per population: 3.5, 1.3 and 5.2; average gene diversity across markers: 0.47, 0.05 and 0.64; and proportion of polymorphic markers: 0.91, 0.25 and 1.0. These were in good agreement with the breeding history of the populations. For instance, unselected populations were found to be more polymorphic than selected breeds such as layers. Thus DNA pools are effective in the preliminary assessment of genetic variation of populations and markers. Mean genetic distance indicates the extent to which a given population shares its genetic diversity with that of the whole tested gene pool and is a useful criterion for conservation of diversity. The distribution of population-specific (private) alleles and the amount of genetic variation shared among populations supports the hypothesis that the red jungle fowl is the main progenitor of the domesticated chicken.

The phylogeny of Th1 and Th2 subsets has not been characterized mainly due to the limited information regarding cytokines in nonmammalian vertebrates. In this study, we characterize a Th1-like regulatory system focusing on the IL-18-regulated IFN-gamma secretion. Stimulation of splenocytes with chicken IL-18 induced high levels of IFN-gamma secretion. Depletion of either macrophages or CD4(+) T cells from the splenocyte cultures caused unresponsiveness to IL-18. In contrast, PBL were unresponsive to IL-18 in the presence or absence of macrophages, but IFN-gamma secretion was stimulated by suboptimal anti-TCR cross-linking combined with IL-18. Splenocytes from five different chicken lines responded equally well to the IL-18 treatment. LSL chicken splenocytes, however, responded only to IL-18 when stimulated either with optimal TCR cross-linking alone or suboptimal TCR cross-linking combined with IL-18. IL-18 not only induced IFN-gamma secretion, but also stimulated splenocyte proliferation. This IL-18-induced proliferation was compared with the effects observed with IL-2. Both cytokines activated the splenocytes as demonstrated by increased size and MHC class II Ag up-regulation in the case of IL-18. Phenotypic analyses following 6 days of culture revealed that IL-2 mainly affected the proliferation of CD8(+) cells, whereas IL-18 had an opposite effect and stimulated the proliferation of CD4(+) cells. Taken together, these results demonstrate the conservation of Th1-like proinflammatory responses in the chicken; they characterize IL-18 as a major growth factor of CD4(+) T cells and identify two distinct mechanisms of IL-18-induced IFN-gamma secretion.

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.