Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: A first generation bovine BAC-based physical map | Genet. Sel. Evol. 36 2004 105-122 INRA EDP Sciences 2004 DOI gse 2003054 105 Original article A first generation bovine BAC-based physical map Laurent ScHiBLERa Anne RoiGa Marie-Francoise MAHEa Jean-Claude SAVEb Mathieu GAUTiERa Sead TA0URiTa Didier BoicHARDc Andre EGGENa Edmond P. CRiBiua a Laboratoire de genetique biochimique et de cytogenetique Departement de genetique animale Institut national de la recherche agronomique Centre de recherche de Jouy 78352 Jouy-en-Josas Cedex France b Laboratoire de radiobiologie et d etude du genome Departement de genetique animale Institut national de la recherche agronomique Centre de recherche de Jouy 78352 Jouy-en-Josas Cedex France c Station de genetique quantitative appliquee Departement de genetique animale Institut national de la recherche agronomique Centre de recherche de Jouy 78352 Jouy-en-Josas Cedex France Received 18 June 2003 accepted 17 October 2003 Abstract - A first generation clone-based physical map for the bovine genome was constructed combining fluorescent double digestion fingerprinting and sequence tagged site STS marker screening. The BAC clones were selected from an Inra BAC library 105 984 clones and a part of the CHORI-240 BAC library 26 500 clones . The contigs were anchored using the screening information for a total of 1303 markers 451 microsatellites 471 genes 127 EST and 254 BAC ends . The final map which consists of 6615 contigs assembled from 100 923 clones will be a valuable tool for genomic research in ruminants including targeted marker production positional cloning or targeted sequencing of regions of specific interest. cattle physical map BAC 1. INTRODUCTION The detection of loci affecting economically important traits represents a major objective in livestock genomics. It should ultimately lead to more efficient breeding schemes marker-assisted selection or MAS and improve the accuracy and intensity of selection programs 18 22 . In this perspective genetic maps constructed in .
