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A first generation bovine BAC-based physical map

Genetics Selection Evolution volume 36, Article number: 105 (2004) Cite this article

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.

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Authors and Affiliations

  1. Laboratoire de génétique biochimique et de cytogénétique, Département de génétique animale, Institut national de la recherche agronomique, Centre de recherche de Jouy, 78352, Jouy-en-Josas Cedex, France

    Laurent Schibler, Anne Roig, Marie-Françoise Mahé, Mathieu Gautier, Sead Taourit, André Eggen & Edmond P. Cribiu

  2. Laboratoire de radiobiologie et d'étude du génome, Département de génétique animale, Institut national de la recherche agronomique, Centre de recherche de Jouy, 78352, Jouy-en-Josas Cedex, France

    Jean-Claude Save

  3. Station de génétique quantitative appliquée, Département de génétique animale, Institut national de la recherche agronomique, Centre de recherche de Jouy, 78352, Jouy-en-Josas Cedex, France

    Didier Boichard

Authors
  1. Laurent Schibler
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  2. Anne Roig
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  3. Marie-Françoise Mahé
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  4. Jean-Claude Save
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  5. Mathieu Gautier
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  6. Sead Taourit
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  7. Didier Boichard
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  8. André Eggen
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  9. Edmond P. Cribiu
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Corresponding author

Correspondence to Laurent Schibler.

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Schibler, L., Roig, A., Mahé, MF. et al. A first generation bovine BAC-based physical map. Genet Sel Evol 36, 105 (2004). https://doi.org/10.1186/1297-9686-36-1-105

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  • DOI: https://doi.org/10.1186/1297-9686-36-1-105

Keywords

Genetics Selection Evolution

ISSN: 1297-9686