2.50
Hdl Handle:
http://hdl.handle.net/10033/15868
Title:
A human-horse comparative map based on equine BAC end sequences.
Authors:
Leeb, Tosso; Vogl, Claus; Zhu, Baoli; de Jong, Pieter J; Binns, Matthew M; Chowdhary, Bhanu P; Scharfe, Maren; Jarek, Michael; Nordsiek, Gabriele; Schrader, Frank; Blöcker, Helmut
Abstract:
In an effort to increase the density of sequence-based markers for the horse genome we generated 9473 BAC end sequences (BESs) from the CHORI-241 BAC library with an average read length of 677 bp. BLASTN searches with the BESs revealed 4036 meaningful hits (E <or= 10(-5)) in the human genome that provide useful markers for the human-horse comparative map. The 4036 BLASTN hits allowed the anchoring of 3079 BAC clones to the human genome, on average one corresponding equine BAC clone per megabase of human DNA. We used the BLASTN anchored BESs for an in silico prediction of the gene content and chromosome assignment of comparatively mapped equine BAC clones. As a first verification of our in silico mapping strategy we placed 19 equine BESs with matches to HSA6 onto the RH map. All markers were assigned to the predicted localizations on ECA10, ECA20, and ECA31, respectively.
Affiliation:
Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Bünteweg 17p, 30559 Hannover, Germany. Tosso.Leeb@itz.unibe.ch
Citation:
A human-horse comparative map based on equine BAC end sequences. 2006, 87 (6):772-6 Genomics
Journal:
Genomics
Issue Date:
Jun-2006
URI:
http://hdl.handle.net/10033/15868
DOI:
10.1016/j.ygeno.2006.03.002
PubMed ID:
16603334
Type:
Article
Language:
en
ISSN:
0888-7543
Appears in Collections:
publications of the research group genomeanalytics (GMAK)

Full metadata record

DC FieldValue Language
dc.contributor.authorLeeb, Tosso-
dc.contributor.authorVogl, Claus-
dc.contributor.authorZhu, Baoli-
dc.contributor.authorde Jong, Pieter J-
dc.contributor.authorBinns, Matthew M-
dc.contributor.authorChowdhary, Bhanu P-
dc.contributor.authorScharfe, Maren-
dc.contributor.authorJarek, Michael-
dc.contributor.authorNordsiek, Gabriele-
dc.contributor.authorSchrader, Frank-
dc.contributor.authorBlöcker, Helmut-
dc.date.accessioned2008-01-09T14:10:56Z-
dc.date.available2008-01-09T14:10:56Z-
dc.date.issued2006-06-
dc.identifier.citationA human-horse comparative map based on equine BAC end sequences. 2006, 87 (6):772-6 Genomicsen
dc.identifier.issn0888-7543-
dc.identifier.pmid16603334-
dc.identifier.doi10.1016/j.ygeno.2006.03.002-
dc.identifier.urihttp://hdl.handle.net/10033/15868-
dc.description.abstractIn an effort to increase the density of sequence-based markers for the horse genome we generated 9473 BAC end sequences (BESs) from the CHORI-241 BAC library with an average read length of 677 bp. BLASTN searches with the BESs revealed 4036 meaningful hits (E <or= 10(-5)) in the human genome that provide useful markers for the human-horse comparative map. The 4036 BLASTN hits allowed the anchoring of 3079 BAC clones to the human genome, on average one corresponding equine BAC clone per megabase of human DNA. We used the BLASTN anchored BESs for an in silico prediction of the gene content and chromosome assignment of comparatively mapped equine BAC clones. As a first verification of our in silico mapping strategy we placed 19 equine BESs with matches to HSA6 onto the RH map. All markers were assigned to the predicted localizations on ECA10, ECA20, and ECA31, respectively.en
dc.language.isoenen
dc.subject.meshAnimalsen
dc.subject.meshBase Sequenceen
dc.subject.meshChromosomes, Artificial, Bacterialen
dc.subject.meshDNA Primersen
dc.subject.meshGene Libraryen
dc.subject.meshGenetic Markersen
dc.subject.meshGenome, Humanen
dc.subject.meshHorsesen
dc.subject.meshHumansen
dc.subject.meshRadiation Hybrid Mappingen
dc.subject.meshSpecies Specificityen
dc.titleA human-horse comparative map based on equine BAC end sequences.en
dc.typeArticleen
dc.contributor.departmentInstitute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Bünteweg 17p, 30559 Hannover, Germany. Tosso.Leeb@itz.unibe.chen
dc.identifier.journalGenomicsen

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