Mapping the Bovine Genome
Author Information
Author(s): Warren M Snelling, Readman Chiu, Jacqueline E Schein, Matthew Hobbs, Colette A Abbey, David L Adelson, Jan Aerts, Gary L Bennett, Ian E Bosdet, Mekki Boussaha, Rudiger Brauning, Alexandre R Caetano, Marcos M Costa, Allan M Crawford, Brian P Dalrymple, André Eggen, Annelie Everts-van der Wind, Sandrine Floriot, Mathieu Gautier, Clare A Gill, Ronnie D Green, Robert Holt, Oliver Jann, Steven J Jones, Steven M Kappes, John W Keele, Pieter J de Jong, Denis M Larkin, Harris A Lewin, John C McEwan, Stephanie McKay, Marco A Marra, Carrie A Mathewson, Lakshmi K Matukumalli, Stephen S Moore, Brenda Murdoch, Frank W Nicholas, Kazutoyo Osoegawa, Alice Roy, Hanni Salih, Laurent Schibler, Robert D Schnabel, Licia Silveri, Loren C Skow, Timothy P L Smith, Tad S Sonstegard, Jeremy F Taylor, Ross Tellam, Curtis P Van Tassell, John L Williams, James E Womack, Natasja H Wye, George Yang, Shaying Zhao
Primary Institution: USDA, ARS, US Meat Animal Research Center
Hypothesis
Can integrating various genetic maps improve the understanding of the bovine genome?
Conclusion
The constructed maps provide essential resources for associating phenotypic variation with genomic variation in cattle.
Supporting Evidence
- The BAC map was constructed using 290,797 clones from three different breeds.
- Integration of genetic maps enhances the identification of genomic regions affecting traits.
- The study provides a comprehensive resource for understanding bovine genetics.
- High agreement was found between the marker and BAC maps.
- Discrepancies between maps indicate areas needing further research.
- The composite map consolidates data from multiple sources for improved accuracy.
- Markers were placed in a consensus order using linkage and radiation hybrid data.
- Further refinement of the maps may improve the quality of the bovine genome assembly.
Takeaway
Scientists made a detailed map of the cow's DNA to help understand how different traits are passed down and how cows can be improved for farming.
Methodology
The study involved constructing a bovine BAC map using fingerprinting techniques and integrating it with existing genetic maps.
Potential Biases
Potential biases may arise from the selection of breeds and the methods used for mapping.
Limitations
The BAC map may not cover all genomic regions, especially highly repetitive areas.
Participant Demographics
BAC clones were derived from three different cattle breeds.
Digital Object Identifier (DOI)
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