The objective was to identify and predict the location of single nucleotide polymorphisms (SNPs) in genes related to fiber growth. The study was carried out with 31 keratin genes (KRT9, KRT12, KRT13, KRT14, KRT16, KRT18, KRT20, KRT25, KRT1, KRT3, KRT5, KRT6a, KRT6b, KRT6c, KRT7, KRT8, KRT71, KRT80, KRT31, KRT32, KIRT40, KRT81, KRT82, KRT10, KRT15, KRT17, KRT19, KRT2, KRT4, KRT79 y KRT83) associated with wool, fiber and hair characteristics in sheep, goat and human, respectively. These gene sequences were retrieved from the National Center for Biotechnology Information (NCBI) database. Using databases and bioinformatics tools such as the Conserved Domains database, Spling and Megablast, unique sequences for each gene were identified. These sequences were compared to the reference genomes: Vicugna_pacos-2.0.2 and Vi_pacos_V1.0 to identify single nucleotide polymorphisms (SNPs). In this man...

The objective was to identify and predict the location of single nucleotide polymorphisms (SNPs) in genes related to fiber growth. The study was carried out with 31 keratin genes (KRT9, KRT12, KRT13, KRT14, KRT16, KRT18, KRT20, KRT25, KRT1, KRT3, KRT5, KRT6a, KRT6b, KRT6c, KRT7, KRT8, KRT71, KRT80, KRT31, KRT32, KIRT40, KRT81, KRT82, KRT10, KRT15, KRT17, KRT19, KRT2, KRT4, KRT79 y KRT83) associated with wool, fiber and hair characteristics in sheep, goat and human, respectively. These gene sequences were retrieved from the National Center for Biotechnology Information (NCBI) database. Using databases and bioinformatics tools such as the Conserved Domains database, Spling and Megablast, unique sequences for each gene were identified. These sequences were compared to the reference genomes: Vicugna_pacos-2.0.2 and Vi_pacos_V1.0 to identify single nucleotide polymorphisms (SNPs). In this man...

The genomes of 41 bovines of five breeds, existing in the SRA-NCBI database, were used to identify 17 single nucleotide polymorphisms (SNPs) which generate non-synonymous mutations in 10 hypoxia-inducible genes. Of this, only three SNPs located in positions c.1081G>C, c.2089G>A and c.2101G>A of exons 7 and 12 of the EPAS1 gene had different allelic frequencies between beef and dairy cattle (p<0.05). Based on the results of the bioinformatic analysis of the genomes, exonic regions of the EPAS1, NOS2, EPO and VEGFA genes were chosen, which were studied in 60 DNA samples from Creole and Brown Swiss cattle raised in the high Andean region (3213-4309 m above sea level). The cattle were grouped by their haemoglobin concentration (Hb) in Brown Swiss with high Hb (BSHbA) (n=13), Brown Swiss with low Hb (BSHbB) (n=11), Creoles with high Hb (CRHbA) (n=13) and Creoles with low Hb (CRHbB...

The aim of this study was to develop a preliminary physical map of single nucleotide polymorphisms (SNPs) in alpaca using an alpaca/hamster radiation hybrid panel and a bovine high- density SNP genotyping microarray (BovineHD BeadChip-Illumina). The methodology included genotyping 92 alpaca/hamster hybrid cell clones, and four control samples (male alpaca, female alpaca, hamster and 1:10 DNA mixture) with the microarray. After genotyping the alpaca and hamster DNA control samples, only bovine SNPs a call frequency of 1 were retained. The SNPs identified in the alpaca DNA samples were then filtered to remove those also in the hamster. From the remaining alpaca SNPs, to decrease the probability of false positives, only those with a call frequency from 0.2 to 0.8 in the 92 hybrid clone samples were retained for the final analysis. The remaining alpaca specific SNPs were tabulated in MapMake...

The aim of this study was to develop a preliminary physical map of single nucleotide polymorphisms (SNPs) in alpaca using an alpaca/hamster radiation hybrid panel and a bovine high- density SNP genotyping microarray (BovineHD BeadChip-Illumina). The methodology included genotyping 92 alpaca/hamster hybrid cell clones, and four control samples (male alpaca, female alpaca, hamster and 1:10 DNA mixture) with the microarray. After genotyping the alpaca and hamster DNA control samples, only bovine SNPs a call frequency of 1 were retained. The SNPs identified in the alpaca DNA samples were then filtered to remove those also in the hamster. From the remaining alpaca SNPs, to decrease the probability of false positives, only those with a call frequency from 0.2 to 0.8 in the 92 hybrid clone samples were retained for the final analysis. The remaining alpaca specific SNPs were tabulated in MapMake...

Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Producción Animal