Genomic mapping of chemokine and transforming growth factor genes in swine

The Application of Zoo-Fish Technique for Analysis of Chromosomal Rearrangements in the Equidae Family

Genome analysis is necessary to trace evolutionary rearrangements and relationships between species. Initially, to this end, the tools of classical cytogenetics were used but along with the development of molecular cytogenetics methods it became possible to analyse the genome more thoroughly. One of the widely used methods is fluorescence in situ hybridization (FISH) and its different types. Zoo-FISH, or cross-species chromosome painting, which uses painting probes specific for whole chromosomes, enables detecting homologous synteny blocks, the occurrence of which is evidence that species share a common ancestry and are related. Zoo-FISH technique is complemented by FISH with probes specific to chromosome arms or repetitive sequences (telomeres, centromeres), which provide additional information about karyotype organization, as well as karyotype polymorphism and conservation. Another method used is FISH with gene-specific probes, which enable the localization of single loci, thus making it possible to determine linkages between genes and verify data obtained after using painting probes in Zoo-FISH technique. Because of its diverse karyotype and rapid karyotypic evolution, the Equidae family is an ideal object of study using a number of methods based on in situ hybridization, which, in turn, enables information to be obtained at many levels of DNA organization.

Quantitative trait loci for white blood cell numbers in swine

Differential white blood cell counts are essential diagnostic parameters in veterinary practice but knowledge on the genetic architecture controlling variability of leucocyte numbers and relationships is sparse, especially in swine. Total leucocyte numbers (Leu) and the differential leucocyte counts, i.e. the fractions of lymphocytes (Lym), polymorphonuclear leucocytes [neutrophils (Neu), eosinophils (Eos) and basophils (Bas)] and monocytes (Mon) were measured in 139 F(2) pigs from a Meishan/Pietrain family, before and after challenge with the protozoan pathogen Sarcocystis miescheriana for genome-wide quantitative trait loci (QTL) analysis. After infection, the pigs passed through three stages representing acute disease, reconvalescence and chronic disease. Nine genome-wide significant and 29 putative, single QTL controlling leucocyte traits were identified on 15 chromosomes. Because leucocyte traits varied with health and disease status, QTL influencing the leucocyte phenotypes showed specific health/disease patterns. Regions on SSC1, 8 and 12 contained QTL for baseline leucocyte traits. Other QTL regions reached control on leucocyte traits only at distinct stages of the disease model. Two-thirds of the QTL have not been described before. Single QTL explained up to 19% of the phenotypic variance in the F(2) animals. Related traits were partly under common genetic influence. Our analysis confirms that leucocyte trait variation is associated with multiple chromosomal regions.

Mapping quantitative trait loci associated with resistance to coccidiosis and growth

To map QTL associated with disease resistance to avian coccidiosis and growth, two commercial broiler lines with different degrees of resistance to the disease were crossed to generate an F1 generation that was intercrossed to produce 314 F2 generation offspring. The F2 offspring were inoculated with sporulated oocysts of Eimeria maxima. Five disease-associated phenotypes were measured after the infection. Intertrait comparisons revealed that oocyst shedding was a good parameter for evaluating disease resistance or susceptibility. One hundred nineteen microsatellite markers, covering 80% of the chicken genome with an average marker interval of 25 cM, were used for genotyping of F1 parents and F2 offspring. Statistical analysis based on the data of four families revealed a locus on chromosome 1 associated with oocyst shedding (logarithm of odds = 3.46). The genetic mechanism of this locus appeared additive. The genomic scan also identified three potential growth QTL on chromosomes 1, 6, and 8. These results provide the foundation for further investigation to validate the QTL.

Mapping four genes from human chromosome 4 to porcine chromosome 8 further develops the comparative map for an economically important chromosome of the swine genome

Because porcine chromosome (SSC) 8 has become the focal point of many efforts aimed at identifying quantitative trait loci affecting ovulation rate, genes distributed across human chromosome (HSA) 4 were physically mapped in the pig. A more refined comparative map of this region for these two species was produced. In this study, four genes were selected based on their location in the human genome, the availability of nucleotide sequence and their genomic organization. The genes selected were fibroblast growth factor basic (FGF2; HSA 4q25-27), gonadotropin releasing hormone receptor (GNRHR; HSA 4q13), phosphodiesterase 6 B (PDE6B; HSA 4p16.3) and aminopeptidase S (PEPS; HSA 4p11-q12). Genomic libraries were screened via PCR and clones were physically assigned using fluorescence in situ hybridization (FISH). These four genes from HSA 4 were physically mapped to SSC 8p2.3 (PDE6B), 8p1.1 (PEPS), 8q1.1-1.2 (GNRHR) and 8q2.2-2.4 (FGF2). These assignments provide additional benchmarks for the comparative map and help define the level of gene order conserved between HSA 4 and SSC 8.