ASSESSMENT OF THE NUCLEOTIDE SEQUENCE VARIABILITY IN THE BOVINE T-CELL RECEPTOR ALPHA DELTA JOINING GENE REGION
- 31 May 2001
- journal article
- Published by Taylor & Francis in Animal Biotechnology
- Vol. 12 (1) , 29-49
- https://doi.org/10.1081/abio-100102977
Abstract
The sequence of 2193 nucleotides from the bovine T-cell receptor alpha / delta joining gene region (TCRADJ) was determined and compared with the corresponding human and murine sequences. The identity was 75.3% for the comparison of the Bos taurus vs. the Homo sapiens sequence and 63.8% for the Bos taurus vs. the Mus musculus sequence. This comparison permitted the identification of the putatively functional elements within the bovine sequence. Direct sequencing of 2110 nucleotides in nine animals revealed 12 variable sites. Estimates, based on direct sequencing in three Holstein Friesian animals, for the two measures of sequence variability, nucleotide polymorphism (u) and nucleotide diversity (p), were 0.00050 (60.00036) and 0.00077 (60.00056), respectively. The test statistic, Tajima's D, for the comparison of the two measures indicates that the difference between u and p is close to significance (P < 0.05), suggesting the possibility of selective forces acting on the studied genomic region. Allelic variation at 5 of the 12 variable sites was analysed in 359 animals (48 Anatolian Black, 56 Braunvieh, 115 Fleckvieh, 47 Holstein Friesian, 50 Simmental and 43 Pinzgauer) using the oligonucleotide ligation assay (OLA) in combination with the enzyme linked immunoabsorbant assay (ELISA). Nine unambiguous haplotypes could be derived based on animals with a maximum of one heterozygous site. Four to seven haplotypes were present in the different breeds. When taking into account the frequencies of the haplotypes in the different breeds, especially in Anatolian Black, an ancestral cattle population, we could establish the likely phylogenetic relationships of the haplotypes. Such haplotype trees are the basis for cladistic candidate gene analysis. Our study demonstrates that the systematic search of single nucleotide polymorphisms (SNPs) is useful for analysing all aspects of variability of a given genomic region.Keywords
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