BACKGROUND: In a previous study in the Fleckvieh dual purpose cattle breed, we mapped a quantitative trait locus (QTL) affecting milk yield (MY1), milk protein yield (PY1) and milk fat yield (FY1) during first lactation to the distal part of bovine chromosome 5 (BTA5), but the confidence interval was too large for positional cloning of the causal gene. Our objective here was to refine the position of this QTL and to define the candidate region for high-throughput sequencing. METHODS: In addition to those previously studied, new Fleckvieh families were genotyped, in order to increase the number of recombination events. Twelve new microsatellites and 240 SNP markers covering the most likely QTL region on BTA5 were analysed. Based on haplotype analysis performed in this complex pedigree, families segregating for the low frequency allele of this QTL (minor allele) were selected. Single- and multiple-QTL analyses using combined linkage and linkage disequilibrium methods were performed. RESULTS: Single nucleotide polymorphism haplotype analyses on representative family sires and their ancestors revealed that the haplotype carrying the minor QTL allele is rare and most probably originates from a unique ancestor in the mapping population. Analyses of different subsets of families, created according to the results of haplotype analysis and availability of SNP and microsatellite data, refined the previously detected QTL affecting MY1 and PY1 to a region ranging from 117.962 Mb to 119.018 Mb (1.056 Mb) on BTA5. However, the possibility of a second QTL affecting only PY1 at 122.115 Mb was not ruled out. CONCLUSION: This study demonstrates that targeting families segregating for a less frequent QTL allele is a useful method. It improves the mapping resolution of the QTL, which is due to the division of the mapping population based on the results of the haplotype analysis and to the increased frequency of the minor allele in the families. Consequently, we succeeded in refining the region containing the previously detected QTL to 1 Mb on BTA5. This candidate region contains 27 genes with unknown or partially known function(s) and is small enough for high-throughput sequencing, which will allow future detailed analyses of candidate genes.
BACKGROUND: In a previous study in the Fleckvieh dual purpose cattle breed, we mapped a quantitative trait locus (QTL) affecting milk yield (MY1), milk protein yield (PY1) and milk fat yield (FY1) during first lactation to the distal part of bovine chromosome 5 (BTA5), but the confidence interval was too large for positional cloning of the causal gene. Our objective here was to refine the position of this QTL and to define the candidate region for high-throughput sequencing. METHODS: In addition to those previously studied, new Fleckvieh families were genotyped, in order to increase the number of recombination events. Twelve new microsatellites and 240 SNP markers covering the most likely QTL region on BTA5 were analysed. Based on haplotype analysis performed in this complex pedigree, families segregating for the low frequency allele of this QTL (minor allele) were selected. Single- and multiple-QTL analyses using combined linkage and linkage disequilibrium methods were performed. RESULTS: Single nucleotide polymorphism haplotype analyses on representative family sires and their ancestors revealed that the haplotype carrying the minor QTL allele is rare and most probably originates from a unique ancestor in the mapping population. Analyses of different subsets of families, created according to the results of haplotype analysis and availability of SNP and microsatellite data, refined the previously detected QTL affecting MY1 and PY1 to a region ranging from 117.962 Mb to 119.018 Mb (1.056 Mb) on BTA5. However, the possibility of a second QTL affecting only PY1 at 122.115 Mb was not ruled out. CONCLUSION: This study demonstrates that targeting families segregating for a less frequent QTL allele is a useful method. It improves the mapping resolution of the QTL, which is due to the division of the mapping population based on the results of the haplotype analysis and to the increased frequency of the minor allele in the families. Consequently, we succeeded in refining the region containing the previously detected QTL to 1 Mb on BTA5. This candidate region contains 27 genes with unknown or partially known function(s) and is small enough for high-throughput sequencing, which will allow future detailed analyses of candidate genes.
Authors: Albert Tenesa; Pau Navarro; Ben J Hayes; David L Duffy; Geraldine M Clarke; Mike E Goddard; Peter M Visscher Journal: Genome Res Date: 2007-03-09 Impact factor: 9.043
Authors: Mathieu Gautier; Thomas Faraut; Katayoun Moazami-Goudarzi; Vincent Navratil; Mario Foglio; Cécile Grohs; Anne Boland; Jean-Guillaume Garnier; Didier Boichard; G Mark Lathrop; Ivo G Gut; André Eggen Journal: Genetics Date: 2007-08-24 Impact factor: 4.562
Authors: Miri Cohen-Zinder; Eyal Seroussi; Denis M Larkin; Juan J Loor; Annelie Everts-van der Wind; Jun-Heon Lee; James K Drackley; Mark R Band; A G Hernandez; Moshe Shani; Harris A Lewin; Joel I Weller; Micha Ron Journal: Genome Res Date: 2005-07 Impact factor: 9.043
Authors: Mathieu Gautier; Rosa Roy Barcelona; Sébastien Fritz; Cécile Grohs; Tom Druet; Didier Boichard; André Eggen; Theo H E Meuwissen Journal: Genetics Date: 2005-09-19 Impact factor: 4.562
Authors: Mehar S Khatkar; Kyall R Zenger; Matthew Hobbs; Rachel J Hawken; Julie A L Cavanagh; Wes Barris; Alexander E McClintock; Sara McClintock; Peter C Thomson; Bruce Tier; Frank W Nicholas; Herman W Raadsma Journal: Genetics Date: 2007-04-15 Impact factor: 4.562
Authors: Mehar S Khatkar; Peter C Thomson; Imke Tammen; Julie A L Cavanagh; Frank W Nicholas; Herman W Raadsma Journal: Genet Sel Evol Date: 2006-09-06 Impact factor: 4.297