ARS | Publication request: Physical and Linkage Mapping of Mammary-Derived Expressed Sequence Tags in Cattle.

Submitted to: Genomics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: July 5, 2003
Publication Date: July 5, 2003
Citation: Connor, E.E., Sonstegard, T.S., Keele, J.W., Bennett, G.L., Williams, J.L., Papworth, R., Van Tassell, C.P., Ashwell, M.S. 2004. Physical and lindage mapping of mammary-derived expressed sequence tags (EST) in cattle. Genomics. vol. 83, pp.148-152.

Interpretive Summary: Selection of positional candidate genes controlling economically important traits in cattle requires a detailed map of the bovine genome. Currently, only 1599 genes are positioned on the bovine gene maps. Although recent efforts have greatly improved these maps and the human-bovine comparative map, additional improvement to these resources is still needed. In the present study, 60 genes were selected for mapping, and markers representing 42 of these genes were positioned on the bovine physical and linkage maps. These data will aid in the integration of the bovine genetic and physical maps and provide map information for genes important to mammary gland development and function. Ultimately, this information may aid in the identification of candidate genes affecting economically important traits in dairy cattle production.

Technical Abstract: This study describes the physical and linkage mapping of 42 gene-associated markers developed from mammary gland-derived expressed sequence tags (EST) to the cattle genome. Of the markers, 25 were placed on the USDA reference linkage map, 37 were positioned on the Roslin 3000-rad radiation hybrid (RH) map, with 20 assignments shared between the maps. Although no novel regions of conserved synteny between the cattle and human genomes were identified, the coverage was extended for bovine chromosomes 3, 7, 15 and 29 compared with previously published comparative maps between human and bovine genomes. Overall, these data improve the resolution of the human-bovine comparative maps and will assist future efforts to integrate bovine RH and linkage map data.