Authomatized genotyping technique application to investigate genetic markers distributed across the genome of Sicilian bovine population
2011
Reale, S., Istituto Zooprofilattico Sperimentale della Sicily, Palermo (Italy) | Lupo, T., Istituto Zooprofilattico Sperimentale della Sicily, Palermo (Italy) | Cipri, V., Istituto Zooprofilattico Sperimentale della Sicily, Palermo (Italy) | Gargano, V., Istituto Zooprofilattico Sperimentale della Sicily, Palermo (Italy) | Alberti, P., Istituto Zooprofilattico Sperimentale of Sicily, Palermo (Italy) | Chifari, F.P., Istituto Zooprofilattico Sperimentale of Sicily, Palermo (Italy) | Vitale, F., Istituto Zooprofilattico Sperimentale of Sicily, Palermo (Italy)
The molecular biology and the use of short tandem repeats (STRs) us DNA markers for genotyping (DNA fingerprinting) are a valid support for identification of cattle pedigrees. This method represents a valid choice in the control of traciability thank to its high sensibility and its discriminant power and is important to certify the unequivocal genetic identity of cattle breed also in presence of a little quantity of samples. These methods use the PCR applied to the detection of short sequence repeats, (microsatellites) by an automated approach to genotyping animals for parentage and identification test. The kit employs the also referred o as microsatellites. Microsatellite markers are evenly distributed across genome. They are highly polymorphic and they can be identified using fluorescent dye-labeled primers. We used the StockMarks(R) animal genotyping kit (Applied Biosystems) specific for the use in all bovine application. The amplified microsatellite markers are those recommended by the International Society of Animal Genetics (ISAG). Genome scans for detection of trait loci could reveal variance of component alleles and linkage disequilibrium based on single-locus regression. In this preliminary study we examined the abundance of each locus in a representative number of bovine subjects breaded in Sicily. The statistic data, expressed as allelic frequency of all alleles for each locus, could be informative for linkage study or epidemiological applications. The statistic data, obtained from this study, expressed as allelic frequency, could be useful for future efforts to develop a model genetic improvement and to increase the production levels.
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