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Isolation of subtelomeric DNA sequences labelling sheep and goat chromosome ends

Genetics Selection Evolution volume 32, Article number: 599 (2000) Cite this article

Abstract

Two techniques that make it possible to isolate telomere DNA are presented, using sheep as an example. The first technique is based upon the screening of a sheep BAC library with PCR amplified DNA segments preserved from high-power laser beam irradiation. Twenty-three BACs hybridising to 13 subtelomeric regions in sheep and goats were obtained (out of 27 in the sheep complement), of which 13 recognised more than one region, telomeric or not. Twenty-three microsatellites were isolated from these BACs and 22 were genetically mapped on the sheep international genetic map, always consistently with the cytogenetical localisation in 17 cases out of 22. These results are discussed. The second technique is based upon the selective cloning of subtelomeric enriched DNA. Preliminary results were obtained by this approach.

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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, 78352, Jouy-en-Josas Cedex, France

    Daniel Vaiman, Ana Brunialti, Céline Derbois, Anne Vaiman & Edmond P Cribiu

  2. Laboratoire de cytométrie analytique, Institut Pasteur, 25 rue du Dr Roux, 75014, Paris, France

    Mohamed Bensaada & Philippe Metezeau

  3. AgResearch Molecular Biology Unit, University of Otago, P.O. Box 56, Dunedin, New Zealand

    Allan Crawford

Authors
  1. Daniel Vaiman
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  2. Ana Brunialti
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  3. Mohamed Bensaada
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  4. Céline Derbois
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  5. Anne Vaiman
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  6. Allan Crawford
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  7. Philippe Metezeau
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  8. Edmond P Cribiu
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Corresponding author

Correspondence to Edmond P Cribiu.

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Vaiman, D., Brunialti, A., Bensaada, M. et al. Isolation of subtelomeric DNA sequences labelling sheep and goat chromosome ends. Genet Sel Evol 32, 599 (2000). https://doi.org/10.1186/1297-9686-32-6-599

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  • DOI: https://doi.org/10.1186/1297-9686-32-6-599

Keywords

Genetics Selection Evolution

ISSN: 1297-9686