Home About us Contact | |||
Chicken Populations (chicken + population)
Selected AbstractsAbsence of population substructuring in Zimbabwe chicken ecotypes inferred using microsatellite analysisANIMAL GENETICS, Issue 4 2007F. C. Muchadeyi Summary The objective of this study was to investigate the population structure of village chickens found in the five agro-ecological zones of Zimbabwe. Twenty-nine microsatellites were genotyped for chickens randomly selected from 13 populations, including the five eco-zones of Zimbabwe (n = 238), Malawi (n = 60), Sudan (n = 48) and six purebred lines (n = 180). A total of 280 alleles were observed in the 13 populations. Forty-eight of these alleles were unique to the Zimbabwe chicken ecotypes. The average number (±SD) of alleles/locus was 9.7 ± 5.10. The overall heterozygote deficiency in the Zimbabwe chickens (FIT ± SE) was 0.08 ± 0.01, over 90% of which was due to within-ecotype deficit (FIS). Small Nei's standard genetic distances ranging from 0.02 to 0.05 were observed between Zimbabwe ecotypes compared with an average of 0.6 between purebred lines. The structure software program was used to cluster individuals to 2 , K , 7 assumed clusters. The most probable clustering was found at K = 6. Ninety-seven of 100 structure runs were identical, in which Malawi, Sudan and purebred lines split out as independent clusters and the five Zimbabwe ecotypes clustered into one population. The within-ecotype marker-estimated kinships (mean = 0.13) differed only slightly from the between-ecotype estimates. Results from this study lead to a rejection of the hypothesis that village chickens are substructured across agro-ecological zones but indicated high genetic diversity within the Zimbabwe chicken population. [source] Mapping QTL for growth and shank traits in chickens divergently selected for high or low body weightANIMAL GENETICS, Issue 4 2010G. A. Ankra-Badu Summary An F2 population (695 individuals) was established from broiler chickens divergently selected for either high (HG) or low (LG) growth, and used to localize QTL for developmental changes in body weight (BW), shank length (SL9) and shank diameter (SD9) at 9 weeks. QTL mapping revealed three genome-wide QTL on chromosomes (GGA) 2, 4 and 26 and three suggestive QTL on GGA 1, 3 and 5. Most of the BW QTL individually explained 2,5% of the phenotypic variance. The BW QTL on GGA2 explained about 7% of BW from 3 to 7 weeks of age, while that on GGA4 explained 15% of BW from 5 to 9 weeks. The BW QTL on GGA2 and GGA4 could be associated with early and late growth respectively. The GGA4 QTL also had the largest effect on SL9 and SD9 and explained 7% and 10% of their phenotypic variances respectively. However, when SL9 and SD9 were corrected with BW9, a shank length percent QTL was identified on GGA2. We identified novel QTL and also confirmed previously identified loci in other chicken populations. As the foundation population was established from commercial broiler strains, it is possible that QTL identified in this study could still be segregating in commercial strains. [source] Variation in chicken populations may affect the enzymatic activity of lysozymeANIMAL GENETICS, Issue 2 2010T. Downing Summary The chicken lysozyme gene encodes a hydrolase that has a key role in defence, especially in ovo. This gene was resequenced in global chicken populations [red, grey, Ceylon and green jungle fowl (JF)] and related bird species. Networks, summary statistics and tests of neutrality indicate that although there is extensive variation at the gene, little is present at coding sites, with the exception of one non-synonymous site. This segregating site and a further fixed non-synonymous change between red JF and domestic chicken populations are spatially close to the catalytic sites of the enzyme and so might affect its activity. [source] Genetic structure of a wide-spectrum chicken gene poolANIMAL GENETICS, Issue 5 2009Z. Granevitze Summary The genetic structure of 65 chicken populations was studied using 29 simple sequence repeat loci. Six main clusters which corresponded to geographical origins and histories were identified: Brown Egg Layers; predominantly Broilers; native Chinese breeds or breeds with recent Asian origin; predominantly breeds of European derivation; a small cluster containing populations with no common history and populations that had breeding history with White Leghorn. Another group of populations that shared their genome with several clusters was defined as ,Multi-clusters'. Gallus gallus gallus (Multi-clusters), one of the subspecies of the Red Jungle Fowl, which was previously suggested to be one of the ancestors of the domesticated chicken, has almost no shared loci with European and White Egg layer populations. In a further sub-clustering of the populations, discrimination between all the 65 populations was possible, and relationships between each were suggested. The genetic variation between populations was found to account for about 34% of the total genetic variation, 11% of the variation being between clusters and 23% being between populations within clusters. The suggested clusters may assist in future studies of genetic aspects of the chicken gene pool. [source] Genetic diversity of Hungarian indigenous chicken breeds based on microsatellite markersANIMAL GENETICS, Issue 4 2009N. Bodzsar Summary Six local chicken breeds are registered in Hungary and are regarded as Hungarian national treasures: Hungarian White, Yellow and Speckled, and Transylvanian Naked Neck White, Black and Speckled. Three Hungarian academic institutes have maintained these genetic resources for more than 30 years. The Hungarian Yellow, the Hungarian Speckled and the Transylvanian Naked Neck Speckled breeds were kept as duplicates in two separate subpopulations since time of formation of conservation flocks at different institutes. In this study, we investigated genetic diversity of these nine Hungarian chicken populations using 29 microsatellite markers. We assessed degree of polymorphism and relationships within and between Hungarian breeds on the basis of molecular markers, and compared the Hungarian chicken populations with commercial lines and European local breeds. In total, 168 alleles were observed in the nine Hungarian populations. The FST estimate indicated that about 22% of the total variation originated from variation between the Hungarian breeds. Clustering using structure software showed clear separation between the Hungarian populations. The most frequent solutions were found at K = 5 and K = 6, respectively, classifying the Transylvanian Naked Neck breeds as a separate group of populations. To identify genetic resources unique to Hungary, marker estimated kinships were estimated and a safe set analysis was performed. We show that the contribution of all Hungarian breeds together to the total diversity of a given set of populations was lower when added to the commercial lines than when added to the European set of breeds. [source] Genetic diversity of Forest and Savannah chicken populations of Ghana as estimated by microsatellite markersANIMAL SCIENCE JOURNAL, Issue 3 2010Richard OSEI-AMPONSAH ABSTRACT The characterization of indigenous animal genetic resources is a requisite step in providing needed information for the conservation of useful genotypes against future needs. Thus, in this study, 22 microsatellite markers were used to genotype 114 local chickens from the Forest (n = 59) and Savannah (n = 55) eco-zones of Ghana and the results compared to those of the ancestral red junglefowl (n = 15) and two European commercial chicken populations , a broiler (n = 25) and white leghorn (n = 25). A total of 171 alleles were observed, with an average of 7.8 alleles per locus. The local Ghanaian chickens showed higher diversity in terms of the observed number of alleles per locus (6.6) and observed heterozygosity (0.568) compared with the combined control populations (6.0 and 0.458, respectively). However, Wright's F -statistics revealed negligible genetic differentiation (FST) in local Ghanaian chicken populations. In addition, 65% of the Savannah chickens were inferred to be more likely from the Forest, suggesting a south-north dispersal of chickens from their probable original location in the Forest zone to the Savannah areas. It is concluded that the Forest and Savannah chickens of Ghana are a single, randomly mating unselected population, characterized by high genetic diversity and constitute a valuable resource for conservation and improvement. [source] Identification of ovalbumin phenotypes of the Asian indigenous chicken populations using polymerase chain reaction-restriction fragment length polymorphismANIMAL SCIENCE JOURNAL, Issue 5 2003Keiji KINOSHITA ABSTRACT Three electrophoretic variations (AA, BB and AB) of ovalbumin controlled by codominant alleles OvA and OvB have been observed in various chicken populations. We compared nucleotide sequences of the open reading frame between two alleles of ovalbumin gene. The difference between the two alleles was found as a non-synonymous substitution of asparagine to aspartic acid as a result of AAT to GAT point mutation at position 8032,8034 in exon 8. We developed polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) protocol in combination with Mbo I restriction endnuclease mapping for the detection of this substitution. By the PCR-RFLP the allelic frequency of the OvB was estimated to be within the range of 0.000,0.150 in 11 Asian indigenous chicken populations and 0.000 in four improved breeds used in the present study. Gene frequency, estimated by PCR-RFLP in the present study, paralleled that obtained by protein polymorphisms of egg white. Thus, this study provides, for the first time, information of the occurrence of ovalbumin allele OvA and OvB in Asian indigenous chicken populations. [source] |